diff --git a/README.md b/README.md
index 585479f7..d141dfe0 100644
--- a/README.md
+++ b/README.md
@@ -1,3 +1,67 @@
+### Change log [2024-04-09 11:08:55]
+1. Item Updated: `coxph_trainer` (from version: `1.1.0` to `1.1.0`)
+2. Item Updated: `load_dataset` (from version: `1.2.0` to `1.2.0`)
+3. Item Updated: `question_answering` (from version: `0.4.0` to `0.4.0`)
+4. Item Updated: `azureml_serving` (from version: `1.1.0` to `1.1.0`)
+5. Item Updated: `hugging_face_serving` (from version: `1.1.0` to `1.1.0`)
+6. Item Updated: `concept_drift_streaming` (from version: `1.1.0` to `1.1.0`)
+7. Item Updated: `sql_to_file` (from version: `1.1.0` to `1.1.0`)
+8. Item Updated: `transcribe` (from version: `1.1.0` to `1.1.0`)
+9. Item Updated: `v2_model_tester` (from version: `1.1.0` to `1.1.0`)
+10. Item Updated: `xgb_test` (from version: `1.1.1` to `1.1.1`)
+11. Item Updated: `describe_spark` (from version: `1.1.0` to `1.1.0`)
+12. Item Updated: `test_classifier` (from version: `1.1.0` to `1.1.0`)
+13. Item Updated: `coxph_test` (from version: `1.1.0` to `1.1.0`)
+14. Item Updated: `tf2_serving` (from version: `1.1.0` to `1.1.0`)
+15. Item Updated: `sklearn_classifier` (from version: `1.1.1` to `1.1.1`)
+16. Item Updated: `churn_server` (from version: `1.1.0` to `1.1.0`)
+17. Item Updated: `pii_recognizer` (from version: `0.3.0` to `0.3.0`)
+18. Item Updated: `gen_class_data` (from version: `1.2.0` to `1.2.0`)
+19. Item Updated: `open_archive` (from version: `1.1.0` to `1.1.0`)
+20. Item Updated: `structured_data_generator` (from version: `1.5.0` to `1.5.0`)
+21. Item Updated: `describe` (from version: `1.2.0` to `1.2.0`)
+22. Item Updated: `xgb_trainer` (from version: `1.1.1` to `1.1.1`)
+23. Item Updated: `xgb_serving` (from version: `1.1.2` to `1.1.2`)
+24. Item Updated: `send_email` (from version: `1.2.0` to `1.2.0`)
+25. Item Updated: `tf2_serving_v2` (from version: `1.1.0` to `1.1.0`)
+26. Item Updated: `get_offline_features` (from version: `1.2.0` to `1.2.0`)
+27. Item Updated: `slack_notify` (from version: `1.1.0` to `1.1.0`)
+28. Item Updated: `model_server_tester` (from version: `1.1.0` to `1.1.0`)
+29. Item Updated: `arc_to_parquet` (from version: `1.4.1` to `1.4.1`)
+30. Item Updated: `bert_embeddings` (from version: `1.3.0` to `1.3.0`)
+31. Item Updated: `feature_perms` (from version: `1.1.0` to `1.1.0`)
+32. Item Updated: `concept_drift` (from version: `1.1.0` to `1.1.0`)
+33. Item Updated: `describe_dask` (from version: `1.1.0` to `1.1.0`)
+34. Item Updated: `batch_inference` (from version: `1.7.0` to `1.7.0`)
+35. Item Updated: `model_monitoring_stream` (from version: `1.1.0` to `1.1.0`)
+36. Item Updated: `huggingface_auto_trainer` (from version: `1.1.0` to `1.1.0`)
+37. Item Updated: `feature_selection` (from version: `1.4.0` to `1.4.0`)
+38. Item Updated: `pyannote_audio` (from version: `1.2.0` to `1.2.0`)
+39. Item Updated: `ingest` (from version: `1.1.0` to `1.1.0`)
+40. Item Updated: `batch_inference_v2` (from version: `2.5.0` to `2.5.0`)
+41. Item Updated: `validate_great_expectations` (from version: `1.1.0` to `1.1.0`)
+42. Item Updated: `model_server` (from version: `1.1.0` to `1.1.0`)
+43. Item Updated: `xgb_custom` (from version: `1.1.0` to `1.1.0`)
+44. Item Updated: `snowflake_dask` (from version: `1.1.0` to `1.1.0`)
+45. Item Updated: `azureml_utils` (from version: `1.3.0` to `1.3.0`)
+46. Item Updated: `github_utils` (from version: `1.1.0` to `1.1.0`)
+47. Item Updated: `pandas_profiling_report` (from version: `1.1.0` to `1.1.0`)
+48. Item Updated: `translate` (from version: `0.1.0` to `0.1.0`)
+49. Item Updated: `silero_vad` (from version: `1.3.0` to `1.3.0`)
+50. Item Updated: `tf1_serving` (from version: `1.1.0` to `1.1.0`)
+51. Item Updated: `model_monitoring_batch` (from version: `1.1.0` to `1.1.0`)
+52. Item Updated: `hugging_face_classifier_trainer` (from version: `0.3.0` to `0.3.0`)
+53. Item Updated: `stream_to_parquet` (from version: `1.1.0` to `1.1.0`)
+54. Item Updated: `load_dask` (from version: `1.1.0` to `1.1.0`)
+55. Item Updated: `text_to_audio_generator` (from version: `1.2.0` to `1.2.0`)
+56. Item Updated: `virtual_drift` (from version: `1.1.0` to `1.1.0`)
+57. Item Updated: `aggregate` (from version: `1.3.0` to `1.3.0`)
+58. Item Updated: `auto_trainer` (from version: `1.7.0` to `1.7.0`)
+59. Item Updated: `v2_model_server` (from version: `1.1.0` to `1.1.0`)
+60. Item Updated: `rnn_serving` (from version: `1.1.0` to `1.1.0`)
+61. Item Updated: `sklearn_classifier_dask` (from version: `1.1.1` to `1.1.1`)
+62. Item Updated: `onnx_utils` (from version: `1.2.0` to `1.2.0`)
+
 ### Change log [2024-04-08 12:13:34]
 1. Item Updated: `coxph_trainer` (from version: `1.1.0` to `1.1.0`)
 2. Item Updated: `load_dataset` (from version: `1.2.0` to `1.2.0`)
diff --git a/catalog.json b/catalog.json
index 691963bf..5071f6ca 100644
--- a/catalog.json
+++ b/catalog.json
@@ -1 +1 @@
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"categories": ["data-preparation", "machine-learning"], "description": "Generate audio file from text using different speakers", "doc": "", "example": "text_to_audio_generator.ipynb", "generationDate": "2023-12-03:15-30", "hidden": false, "icon": "", "labels": {"author": "yonatans"}, "maintainers": [], "marketplaceType": "", "mlrunVersion": "1.5.1", "name": "text_to_audio_generator", "platformVersion": "3.5.3", "spec": {"filename": "text_to_audio_generator.py", "handler": "generate_multi_speakers_audio", "image": "mlrun/mlrun", "kind": "job", "requirements": ["bark", "torchaudio"]}, "url": "", "version": "1.1.0", "test_valid": true}, "1.2.0": {"apiVersion": "v1", "categories": ["data-preparation", "machine-learning", "pytorch"], "description": "Generate audio file from text using different speakers", "doc": "", "example": "text_to_audio_generator.ipynb", "generationDate": "2023-12-03:15-30", "hidden": false, "icon": "", "labels": {"author": "yonatans"}, "maintainers": [], "marketplaceType": "", "mlrunVersion": "1.5.1", "name": "text_to_audio_generator", "platformVersion": "3.5.3", "spec": {"filename": "text_to_audio_generator.py", "handler": "generate_multi_speakers_audio", "image": "mlrun/mlrun", "kind": "job", "requirements": ["bark", "torchaudio"]}, "url": "", "version": "1.2.0", "test_valid": true}, "1.0.0": {"apiVersion": "v1", "categories": ["data-preparation", "machine-learning"], "description": "Generate audio file from text using different speakers", "doc": "", "example": "text_to_audio_generator.ipynb", "generationDate": "2023-12-03:15-30", "hidden": false, "icon": "", "labels": {"author": "yonatans"}, "maintainers": [], "marketplaceType": "", "mlrunVersion": "1.5.1", "name": "text_to_audio_generator", "platformVersion": "3.5.3", "spec": {"filename": "text_to_audio_generator.py", "handler": "generate_multi_speakers_audio", "image": "mlrun/mlrun", "kind": "job", "requirements": ["bark", "torchaudio"]}, "url": "", "version": "1.0.0", "test_valid": true}}, "silero_vad": {"latest": {"apiVersion": "v1", "categories": ["deep-learning", "pytorch", "audio"], "description": "Silero VAD (Voice Activity Detection) functions.", "doc": "", "example": "silero_vad.ipynb", "generationDate": "2023-12-03:14-30", "hidden": false, "icon": "", "labels": {"author": "guyl"}, "maintainers": [], "marketplaceType": "", "mlrunVersion": "1.5.2", "name": "silero_vad", "platformVersion": "3.5.3", "spec": {"filename": "silero_vad.py", "handler": "detect_voice", "image": "mlrun/mlrun", "kind": "job", "requirements": ["torch", "torchaudio", "tqdm", "onnxruntime"]}, "url": "", "version": "1.3.0"}, "1.1.0": {"apiVersion": "v1", "categories": ["deep-learning", "pytorch", "audio"], "description": "Silero VAD (Voice Activity Detection) functions.", "doc": "", "example": "silero_vad.ipynb", "generationDate": "2023-12-03:14-30", "hidden": false, "icon": "", "labels": {"author": "guyl"}, "maintainers": [], "marketplaceType": "", "mlrunVersion": "1.5.2", "name": "silero_vad", "platformVersion": "3.5.3", "spec": {"filename": "silero_vad.py", "handler": "detect_voice", "image": "mlrun/mlrun", "kind": "job", "requirements": ["torch", "torchaudio", "tqdm", "onnxruntime"]}, "url": "", "version": "1.1.0"}, "1.3.0": {"apiVersion": "v1", "categories": ["deep-learning", "pytorch", "audio"], "description": "Silero VAD (Voice Activity Detection) functions.", "doc": "", "example": "silero_vad.ipynb", "generationDate": "2023-12-03:14-30", "hidden": false, "icon": "", "labels": {"author": "guyl"}, "maintainers": [], "marketplaceType": "", "mlrunVersion": "1.5.2", "name": "silero_vad", "platformVersion": "3.5.3", "spec": {"filename": "silero_vad.py", "handler": "detect_voice", "image": "mlrun/mlrun", "kind": "job", "requirements": ["torch", "torchaudio", "tqdm", "onnxruntime"]}, "url": "", "version": "1.3.0"}, "1.2.0": {"apiVersion": "v1", "categories": ["deep-learning", "pytorch", "audio"], "description": "Silero VAD (Voice Activity Detection) functions.", "doc": "", "example": "silero_vad.ipynb", "generationDate": "2023-12-03:14-30", "hidden": false, "icon": "", "labels": {"author": "guyl"}, "maintainers": [], "marketplaceType": "", "mlrunVersion": "1.5.2", "name": "silero_vad", "platformVersion": "3.5.3", "spec": {"filename": "silero_vad.py", "handler": "detect_voice", "image": "mlrun/mlrun", "kind": "job", "requirements": ["torch", "torchaudio", "tqdm", "onnxruntime"]}, "url": "", "version": "1.2.0"}}, "pyannote_audio": {"latest": {"apiVersion": "v1", "categories": ["deep-learning", "huggingface", "audio"], "description": "pyannote's speech diarization of audio files", "doc": "", "example": "pyannote_audio.ipynb", "generationDate": "2023-12-03:14-30", "hidden": false, "icon": "", "labels": {"author": "guyl"}, "maintainers": [], "marketplaceType": "", "mlrunVersion": "1.5.2", "name": "pyannote-audio", "platformVersion": "3.5.3", "spec": {"filename": "pyannote_audio.py", "handler": "diarize", "image": "mlrun/mlrun-gpu", "kind": "job", "requirements": ["pyannote.audio", "pyannote.core", "torchaudio", "tqdm"]}, "url": "", "version": "1.2.0"}, "1.1.0": {"apiVersion": "v1", "categories": ["deep-learning", "huggingface", "audio"], "description": "pyannote's speech diarization of audio files", "doc": "", "example": "pyannote_audio.ipynb", "generationDate": "2023-12-03:14-30", "hidden": false, "icon": "", "labels": {"author": "guyl"}, "maintainers": [], "marketplaceType": "", "mlrunVersion": "1.5.2", "name": "pyannote-audio", "platformVersion": "3.5.3", "spec": {"filename": "pyannote_audio.py", "handler": "diarize", "image": "mlrun/mlrun-gpu", "kind": "job", "requirements": ["pyannote.audio", "pyannote.core", "torchaudio", "tqdm"]}, "url": "", "version": "1.1.0"}, "1.2.0": {"apiVersion": "v1", "categories": ["deep-learning", "huggingface", "audio"], "description": "pyannote's speech diarization of audio files", "doc": "", "example": "pyannote_audio.ipynb", "generationDate": "2023-12-03:14-30", "hidden": false, "icon": "", "labels": {"author": "guyl"}, "maintainers": [], "marketplaceType": "", "mlrunVersion": "1.5.2", "name": "pyannote-audio", "platformVersion": "3.5.3", "spec": {"filename": "pyannote_audio.py", "handler": "diarize", "image": "mlrun/mlrun-gpu", "kind": "job", "requirements": ["pyannote.audio", "pyannote.core", "torchaudio", "tqdm"]}, "url": "", "version": "1.2.0"}, "1.0.0": {"apiVersion": "v1", "categories": ["deep-learning", "huggingface", "audio"], "description": "pyannote's speech diarization of audio files", "doc": "", "example": "pyannote_audio.ipynb", "generationDate": "2023-12-03:14-30", "hidden": false, "icon": "", "labels": {"author": "guyl"}, "maintainers": [], "marketplaceType": "", "mlrunVersion": "1.5.2", "name": "pyannote-audio", "platformVersion": "3.5.3", "spec": {"filename": "pyannote_audio.py", "handler": "diarize", "image": "mlrun/mlrun-gpu", "kind": "job", "requirements": ["pyannote.audio", "pyannote.core", "torchaudio", "tqdm"]}, "url": "", "version": "1.0.0"}}}}}
\ No newline at end of file
diff --git a/functions/master/bert_embeddings/1.3.0/src/bert_embeddings.ipynb b/functions/master/bert_embeddings/1.3.0/src/bert_embeddings.ipynb
new file mode 100644
index 00000000..cb6d5584
--- /dev/null
+++ b/functions/master/bert_embeddings/1.3.0/src/bert_embeddings.ipynb
@@ -0,0 +1,503 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## BERT Embeddings Serverless Function\n",
+    "This notebook presents deployment of pretrained BERT model that outputs embeddings for given textual sequences as a serverless function. Embeddings are meaningful, contextual representations of text in the form of ndarrays that are used frequently as input to various learning tasks in the field of NLP."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Embeddings without bert"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "[One-Hot Encoding](https://en.wikipedia.org/wiki/One-hot) is a general method that can vectorize any categorical features. It is simple and fast to create and update the vectorization.<br>\n",
+    "in case of <b>text</b> embeddings, each <b>row</b> is a <b>sentence</b> and each <b>column</b> is a <b>word/char/[n-gram](https://en.wikipedia.org/wiki/N-gram)</b>."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# some sentences to do examine\n",
+    "sentences = ['the quick brown fox jumps over the lazy dog',\n",
+    "              'Hello I am Jacob',\n",
+    "              'Daniel visited Tel-Aviv last month']"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "lets see the difference between bert embeddings and one-hot encoding"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['the', 'quick', 'brown', 'fox', 'jumps', 'over', 'lazy', 'dog', 'Hello', 'I', 'am', 'Jacob', 'Daniel', 'visited', 'Tel-Aviv', 'last', 'month']\n"
+     ]
+    }
+   ],
+   "source": [
+    "# constructing a list of all the words (will be our columns) - make sure no duplicate words are set\n",
+    "tokens = []\n",
+    "for sentence in sentences:\n",
+    "    for word in sentence.split():\n",
+    "        tokens.append(word) if word not in tokens else \"\"\n",
+    "print(tokens)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# constructing the one hot vector\n",
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "\n",
+    "one_hot = pd.DataFrame(columns = range(len(tokens)))\n",
+    "# filling our empty dataframe with each sentence encoding\n",
+    "for sentence in sentences:\n",
+    "    vector = np.zeros(len(tokens))\n",
+    "    for word in sentence.split():\n",
+    "        vector[tokens.index(word)]=1\n",
+    "    one_hot = one_hot.append(pd.Series(vector),ignore_index=True)\n",
+    "one_hot.columns = tokens"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>the</th>\n",
+       "      <th>quick</th>\n",
+       "      <th>brown</th>\n",
+       "      <th>fox</th>\n",
+       "      <th>jumps</th>\n",
+       "      <th>over</th>\n",
+       "      <th>lazy</th>\n",
+       "      <th>dog</th>\n",
+       "      <th>Hello</th>\n",
+       "      <th>I</th>\n",
+       "      <th>am</th>\n",
+       "      <th>Jacob</th>\n",
+       "      <th>Daniel</th>\n",
+       "      <th>visited</th>\n",
+       "      <th>Tel-Aviv</th>\n",
+       "      <th>last</th>\n",
+       "      <th>month</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   the  quick  brown  fox  jumps  over  lazy  dog  Hello    I   am  Jacob  \\\n",
+       "0  1.0    1.0    1.0  1.0    1.0   1.0   1.0  1.0    0.0  0.0  0.0    0.0   \n",
+       "1  0.0    0.0    0.0  0.0    0.0   0.0   0.0  0.0    1.0  1.0  1.0    1.0   \n",
+       "2  0.0    0.0    0.0  0.0    0.0   0.0   0.0  0.0    0.0  0.0  0.0    0.0   \n",
+       "\n",
+       "   Daniel  visited  Tel-Aviv  last  month  \n",
+       "0     0.0      0.0       0.0   0.0    0.0  \n",
+       "1     0.0      0.0       0.0   0.0    0.0  \n",
+       "2     1.0      1.0       1.0   1.0    1.0  "
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "one_hot"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The table above represents the one-hot encoding of our sentences, each row is a sentence and each column is a word.\n",
+    "this representation is very slim and will be a very weak learning dataset."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Introducing Bert embeddings"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from mlrun import import_function, auto_mount"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# importing the function from the hub\n",
+    "fn = import_function(\"hub://bert_embeddings\").apply(auto_mount())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "> 2023-02-02 09:29:59,002 [info] Starting remote function deploy\n",
+      "2023-02-02 09:29:59  (info) Deploying function\n",
+      "2023-02-02 09:29:59  (info) Building\n",
+      "2023-02-02 09:29:59  (info) Staging files and preparing base images\n",
+      "2023-02-02 09:29:59  (info) Building processor image\n",
+      "2023-02-02 09:32:09  (info) Build complete\n",
+      "2023-02-02 09:32:35  (info) Function deploy complete\n",
+      "> 2023-02-02 09:32:36,059 [info] successfully deployed function: {'internal_invocation_urls': ['nuclio-default-bert-embeddings.default-tenant.svc.cluster.local:8080'], 'external_invocation_urls': ['default-bert-embeddings-default.default-tenant.app.cto-office.iguazio-cd1.com/']}\n"
+     ]
+    }
+   ],
+   "source": [
+    "# deploying the function\n",
+    "addr = fn.deploy()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import requests\n",
+    "import json\n",
+    "# sending a request to the function endpoint to get the sentences' embeddings\n",
+    "resp = requests.post(addr, json=json.dumps(sentences))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pickle\n",
+    "output_embeddings = pickle.loads(resp.content)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "embeddings per token shape: (3, 11, 768), pooled embeddings shape: (3, 768)\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(f'embeddings per token shape: {output_embeddings[0].shape}, pooled embeddings shape: {output_embeddings[1].shape}')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>0</th>\n",
+       "      <th>1</th>\n",
+       "      <th>2</th>\n",
+       "      <th>3</th>\n",
+       "      <th>4</th>\n",
+       "      <th>5</th>\n",
+       "      <th>6</th>\n",
+       "      <th>7</th>\n",
+       "      <th>8</th>\n",
+       "      <th>9</th>\n",
+       "      <th>...</th>\n",
+       "      <th>758</th>\n",
+       "      <th>759</th>\n",
+       "      <th>760</th>\n",
+       "      <th>761</th>\n",
+       "      <th>762</th>\n",
+       "      <th>763</th>\n",
+       "      <th>764</th>\n",
+       "      <th>765</th>\n",
+       "      <th>766</th>\n",
+       "      <th>767</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>-0.733322</td>\n",
+       "      <td>-0.223540</td>\n",
+       "      <td>0.342462</td>\n",
+       "      <td>0.383463</td>\n",
+       "      <td>-0.164796</td>\n",
+       "      <td>0.040522</td>\n",
+       "      <td>0.802845</td>\n",
+       "      <td>0.152842</td>\n",
+       "      <td>0.331639</td>\n",
+       "      <td>-0.999779</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.206564</td>\n",
+       "      <td>0.231415</td>\n",
+       "      <td>0.196433</td>\n",
+       "      <td>0.797908</td>\n",
+       "      <td>0.435175</td>\n",
+       "      <td>0.749370</td>\n",
+       "      <td>0.246098</td>\n",
+       "      <td>0.427603</td>\n",
+       "      <td>-0.577384</td>\n",
+       "      <td>0.842063</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>-0.953005</td>\n",
+       "      <td>-0.535132</td>\n",
+       "      <td>-0.743822</td>\n",
+       "      <td>0.893934</td>\n",
+       "      <td>0.646276</td>\n",
+       "      <td>-0.279388</td>\n",
+       "      <td>0.943513</td>\n",
+       "      <td>0.275504</td>\n",
+       "      <td>-0.555109</td>\n",
+       "      <td>-0.999992</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.582386</td>\n",
+       "      <td>-0.004614</td>\n",
+       "      <td>0.976079</td>\n",
+       "      <td>0.931517</td>\n",
+       "      <td>-0.391442</td>\n",
+       "      <td>0.530384</td>\n",
+       "      <td>0.675933</td>\n",
+       "      <td>-0.682721</td>\n",
+       "      <td>-0.746339</td>\n",
+       "      <td>0.957809</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>-0.843678</td>\n",
+       "      <td>-0.453405</td>\n",
+       "      <td>-0.826011</td>\n",
+       "      <td>0.650805</td>\n",
+       "      <td>0.494036</td>\n",
+       "      <td>-0.154117</td>\n",
+       "      <td>0.821642</td>\n",
+       "      <td>0.349507</td>\n",
+       "      <td>-0.650629</td>\n",
+       "      <td>-0.999978</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.618286</td>\n",
+       "      <td>-0.336700</td>\n",
+       "      <td>0.936262</td>\n",
+       "      <td>0.857577</td>\n",
+       "      <td>-0.787489</td>\n",
+       "      <td>0.246137</td>\n",
+       "      <td>0.676243</td>\n",
+       "      <td>-0.612532</td>\n",
+       "      <td>-0.708786</td>\n",
+       "      <td>0.840879</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>3 rows × 768 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        0         1         2         3         4         5         6    \\\n",
+       "0 -0.733322 -0.223540  0.342462  0.383463 -0.164796  0.040522  0.802845   \n",
+       "1 -0.953005 -0.535132 -0.743822  0.893934  0.646276 -0.279388  0.943513   \n",
+       "2 -0.843678 -0.453405 -0.826011  0.650805  0.494036 -0.154117  0.821642   \n",
+       "\n",
+       "        7         8         9    ...       758       759       760       761  \\\n",
+       "0  0.152842  0.331639 -0.999779  ...  0.206564  0.231415  0.196433  0.797908   \n",
+       "1  0.275504 -0.555109 -0.999992  ...  0.582386 -0.004614  0.976079  0.931517   \n",
+       "2  0.349507 -0.650629 -0.999978  ...  0.618286 -0.336700  0.936262  0.857577   \n",
+       "\n",
+       "        762       763       764       765       766       767  \n",
+       "0  0.435175  0.749370  0.246098  0.427603 -0.577384  0.842063  \n",
+       "1 -0.391442  0.530384  0.675933 -0.682721 -0.746339  0.957809  \n",
+       "2 -0.787489  0.246137  0.676243 -0.612532 -0.708786  0.840879  \n",
+       "\n",
+       "[3 rows x 768 columns]"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pd.DataFrame(output_embeddings[1])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "we can see that the size of the first dimension of the outputs is three since we passed in three sequences. Also the intermediate dimension of the first output is the maximal number of tokens across all input sequences. Sequences with less tokens are padded with zero values.<br>\n",
+    "Note that the first input has an intermediate dimension of size 11 that corresponds to the number of max tokens in the input sequence after addition of two special tokens marking beginning and end of a sequence by the tokenizer.<br>\n",
+    "The last dimension for both is of size 768 which is the embedding dimension for this default configuration of bert.<br>\n",
+    "Now you tell me, which encoding are you gonna use in your project ??"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/functions/master/bert_embeddings/1.3.0/src/bert_embeddings.py b/functions/master/bert_embeddings/1.3.0/src/bert_embeddings.py
new file mode 100644
index 00000000..109081b1
--- /dev/null
+++ b/functions/master/bert_embeddings/1.3.0/src/bert_embeddings.py
@@ -0,0 +1,41 @@
+# Copyright 2019 Iguazio
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+import json
+import pickle
+
+import torch
+from transformers import BertModel, BertTokenizer
+
+
+def init_context(context):
+    tokenizer = BertTokenizer.from_pretrained("bert-base-uncased")
+    model = BertModel.from_pretrained("bert-base-uncased")
+    model.eval()
+
+    setattr(context.user_data, "tokenizer", tokenizer)
+    setattr(context.user_data, "model", model)
+
+
+def handler(context, event):
+    docs = json.loads(event.body)
+    docs = [doc.lower() for doc in docs]
+    docs = context.user_data.tokenizer.batch_encode_plus(
+        docs, pad_to_max_length=True, return_tensors="pt"
+    )
+
+    with torch.no_grad():
+        embeddings = context.user_data.model(**docs)
+    embeddings = [embeddings[0].numpy(), embeddings[1].numpy()]
+    return pickle.dumps(embeddings)
diff --git a/functions/master/bert_embeddings/1.3.0/src/function.yaml b/functions/master/bert_embeddings/1.3.0/src/function.yaml
new file mode 100644
index 00000000..15319c16
--- /dev/null
+++ b/functions/master/bert_embeddings/1.3.0/src/function.yaml
@@ -0,0 +1,42 @@
+kind: remote
+metadata:
+  name: bert-embeddings
+  tag: ''
+  hash: ecf6647fe4716e0df54ce50278b735034536a568
+  project: ''
+  labels:
+    framework: pytorch
+  categories:
+  - huggingface
+  - machine-learning
+  - data-preparation
+  - pytorch
+spec:
+  command: ''
+  args: []
+  image: mlrun/mlrun
+  build:
+    functionSourceCode: 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
+    commands: []
+    code_origin: ''
+    origin_filename: ''
+    requirements:
+    - torch
+  description: Get BERT based embeddings for given text
+  default_handler: ''
+  disable_auto_mount: false
+  clone_target_dir: ''
+  env:
+  - name: MLRUN_HTTPDB__NUCLIO__EXPLICIT_ACK
+    value: enabled
+  priority_class_name: ''
+  preemption_mode: prevent
+  min_replicas: 1
+  max_replicas: 4
+  source: ''
+  function_handler: bert_embeddings:handler
+  base_image_pull: false
+  affinity: null
+  tolerations: null
+  security_context: {}
+verbose: false
diff --git a/functions/master/bert_embeddings/1.3.0/src/item.yaml b/functions/master/bert_embeddings/1.3.0/src/item.yaml
new file mode 100644
index 00000000..f96e54ea
--- /dev/null
+++ b/functions/master/bert_embeddings/1.3.0/src/item.yaml
@@ -0,0 +1,28 @@
+apiVersion: v1
+categories:
+- huggingface
+- machine-learning
+- data-preparation
+- pytorch
+description: Get BERT based embeddings for given text
+doc: ''
+example: bert_embeddings.ipynb
+generationDate: 2022-08-28:17-25
+hidden: false
+icon: ''
+labels:
+  framework: pytorch
+maintainers: []
+marketplaceType: ''
+mlrunVersion: 1.4.1
+name: bert-embeddings
+platformVersion: 3.5.3
+spec:
+  filename: bert_embeddings.py
+  handler: handler
+  image: mlrun/mlrun
+  kind: nuclio
+  requirements:
+  - torch
+url: ''
+version: 1.3.0
diff --git a/functions/master/bert_embeddings/1.3.0/src/requirements.txt b/functions/master/bert_embeddings/1.3.0/src/requirements.txt
new file mode 100644
index 00000000..747b7aa9
--- /dev/null
+++ b/functions/master/bert_embeddings/1.3.0/src/requirements.txt
@@ -0,0 +1 @@
+transformers
\ No newline at end of file
diff --git a/functions/master/bert_embeddings/1.3.0/src/test_bert_embeddings.py b/functions/master/bert_embeddings/1.3.0/src/test_bert_embeddings.py
new file mode 100644
index 00000000..7ad9101c
--- /dev/null
+++ b/functions/master/bert_embeddings/1.3.0/src/test_bert_embeddings.py
@@ -0,0 +1,32 @@
+# Copyright 2019 Iguazio
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from bert_embeddings import init_context,handler
+import nuclio
+import json
+import pickle
+import numpy as np
+
+ARCHIVE = "https://archive.ics.uci.edu/ml/machine-learning-databases/00280/HIGGS.csv.gz"
+ARTIFACTS_PATH = 'artifacts'
+
+
+def test_bert_embeddings():
+    event = nuclio.Event(body=json.dumps(['John loves Mary']))
+    ctx = nuclio.Context()
+    init_context(ctx)
+    outputs = pickle.loads(handler(ctx, event))
+    assert (True if abs(np.mean(outputs[0]) - -0.011996539) <= 0.0001 else False) is True
+    assert (True if abs(np.mean(outputs[0]) - -0.011996539) > 0 else False) is True
+
diff --git a/functions/master/bert_embeddings/1.3.0/static/bert_embeddings.html b/functions/master/bert_embeddings/1.3.0/static/bert_embeddings.html
new file mode 100644
index 00000000..863a0261
--- /dev/null
+++ b/functions/master/bert_embeddings/1.3.0/static/bert_embeddings.html
@@ -0,0 +1,181 @@
+
+<!DOCTYPE html>
+
+<html lang="en">
+<head>
+<meta charset="utf-8"/>
+<meta content="width=device-width, initial-scale=1.0" name="viewport"/>
+<title>bert_embeddings.bert_embeddings</title>
+<!-- Loaded before other Sphinx assets -->
+<link href="../../../_static/styles/theme.css?digest=1999514e3f237ded88cf" rel="stylesheet"/>
+<link href="../../../_static/styles/pydata-sphinx-theme.css?digest=1999514e3f237ded88cf" rel="stylesheet"/>
+<link href="../../../_static/vendor/fontawesome/5.13.0/css/all.min.css" rel="stylesheet"/>
+<link as="font" crossorigin="" href="../../../_static/vendor/fontawesome/5.13.0/webfonts/fa-solid-900.woff2" rel="preload" type="font/woff2"/>
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+<link href="../../../_static/pygments.css" rel="stylesheet" type="text/css">
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+<link href="../../../_static/togglebutton.css" rel="stylesheet" type="text/css">
+<!-- Pre-loaded scripts that we'll load fully later -->
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+<script src="../../../_static/underscore.js"></script>
+<script src="../../../_static/doctools.js"></script>
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+<meta content="width=device-width, initial-scale=1" name="viewport"/>
+<meta content="en" name="docsearch:language"/>
+<!-- Google Analytics -->
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+<body data-offset="60" data-spy="scroll" data-target="#bd-toc-nav">
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+<div class="visually-hidden">Toggle in-page Table of Contents</div>
+</label>
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+</span>
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+<li>
+<a class="headerbtn" data-placement="left" data-toggle="tooltip" href="https://github.com/mlrun/marketplace/issues/new?title=Issue%20on%20page%20%2F_modules/bert_embeddings/bert_embeddings.html&amp;body=Your%20issue%20content%20here." title="Open an issue">
+<span class="headerbtn__icon-container">
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+</span>
+<span class="headerbtn__text-container">open issue</span>
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+<!-- Table of contents -->
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+<div class="col pl-md-3 pl-lg-5 content-container">
+<!-- Table of contents that is only displayed when printing the page -->
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+<h1></h1>
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+<main id="main-content" role="main">
+<div>
+<h1>Source code for bert_embeddings.bert_embeddings</h1><div class="highlight"><pre>
+<span></span><span class="c1"># Copyright 2019 Iguazio</span>
+<span class="c1">#</span>
+<span class="c1"># Licensed under the Apache License, Version 2.0 (the "License");</span>
+<span class="c1"># you may not use this file except in compliance with the License.</span>
+<span class="c1"># You may obtain a copy of the License at</span>
+<span class="c1">#</span>
+<span class="c1">#     http://www.apache.org/licenses/LICENSE-2.0</span>
+<span class="c1">#</span>
+<span class="c1"># Unless required by applicable law or agreed to in writing, software</span>
+<span class="c1"># distributed under the License is distributed on an "AS IS" BASIS,</span>
+<span class="c1"># WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.</span>
+<span class="c1"># See the License for the specific language governing permissions and</span>
+<span class="c1"># limitations under the License.</span>
+<span class="c1">#</span>
+<span class="kn">import</span> <span class="nn">json</span>
+<span class="kn">import</span> <span class="nn">pickle</span>
+
+<span class="kn">import</span> <span class="nn">torch</span>
+<span class="kn">from</span> <span class="nn">transformers</span> <span class="kn">import</span> <span class="n">BertModel</span><span class="p">,</span> <span class="n">BertTokenizer</span>
+
+
+<div class="viewcode-block" id="init_context"><a class="viewcode-back" href="documentation.html#bert_embeddings.bert_embeddings.init_context">[docs]</a><span class="k">def</span> <span class="nf">init_context</span><span class="p">(</span><span class="n">context</span><span class="p">):</span>
+    <span class="n">tokenizer</span> <span class="o">=</span> <span class="n">BertTokenizer</span><span class="o">.</span><span class="n">from_pretrained</span><span class="p">(</span><span class="s2">"bert-base-uncased"</span><span class="p">)</span>
+    <span class="n">model</span> <span class="o">=</span> <span class="n">BertModel</span><span class="o">.</span><span class="n">from_pretrained</span><span class="p">(</span><span class="s2">"bert-base-uncased"</span><span class="p">)</span>
+    <span class="n">model</span><span class="o">.</span><span class="n">eval</span><span class="p">()</span>
+
+    <span class="nb">setattr</span><span class="p">(</span><span class="n">context</span><span class="o">.</span><span class="n">user_data</span><span class="p">,</span> <span class="s2">"tokenizer"</span><span class="p">,</span> <span class="n">tokenizer</span><span class="p">)</span>
+    <span class="nb">setattr</span><span class="p">(</span><span class="n">context</span><span class="o">.</span><span class="n">user_data</span><span class="p">,</span> <span class="s2">"model"</span><span class="p">,</span> <span class="n">model</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="handler"><a class="viewcode-back" href="documentation.html#bert_embeddings.bert_embeddings.handler">[docs]</a><span class="k">def</span> <span class="nf">handler</span><span class="p">(</span><span class="n">context</span><span class="p">,</span> <span class="n">event</span><span class="p">):</span>
+    <span class="n">docs</span> <span class="o">=</span> <span class="n">json</span><span class="o">.</span><span class="n">loads</span><span class="p">(</span><span class="n">event</span><span class="o">.</span><span class="n">body</span><span class="p">)</span>
+    <span class="n">docs</span> <span class="o">=</span> <span class="p">[</span><span class="n">doc</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span> <span class="k">for</span> <span class="n">doc</span> <span class="ow">in</span> <span class="n">docs</span><span class="p">]</span>
+    <span class="n">docs</span> <span class="o">=</span> <span class="n">context</span><span class="o">.</span><span class="n">user_data</span><span class="o">.</span><span class="n">tokenizer</span><span class="o">.</span><span class="n">batch_encode_plus</span><span class="p">(</span>
+        <span class="n">docs</span><span class="p">,</span> <span class="n">pad_to_max_length</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">return_tensors</span><span class="o">=</span><span class="s2">"pt"</span>
+    <span class="p">)</span>
+
+    <span class="k">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">no_grad</span><span class="p">():</span>
+        <span class="n">embeddings</span> <span class="o">=</span> <span class="n">context</span><span class="o">.</span><span class="n">user_data</span><span class="o">.</span><span class="n">model</span><span class="p">(</span><span class="o">**</span><span class="n">docs</span><span class="p">)</span>
+    <span class="n">embeddings</span> <span class="o">=</span> <span class="p">[</span><span class="n">embeddings</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">numpy</span><span class="p">(),</span> <span class="n">embeddings</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">numpy</span><span class="p">()]</span>
+    <span class="k">return</span> <span class="n">pickle</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">embeddings</span><span class="p">)</span></div>
+</pre></div>
+</div>
+</main>
+<footer class="footer-article noprint">
+<!-- Previous / next buttons -->
+<div class="prev-next-area">
+</div>
+</footer>
+</div>
+</div>
+<div class="footer-content row">
+<footer class="col footer"><p>
+  
+      © Copyright .<br/>
+</p>
+</footer>
+</div>
+</div>
+</div>
+</div>
+<!-- Scripts loaded after <body> so the DOM is not blocked -->
+<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf"></script>
+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/bert_embeddings/1.3.0/static/documentation.html b/functions/master/bert_embeddings/1.3.0/static/documentation.html
new file mode 100644
index 00000000..b99c805d
--- /dev/null
+++ b/functions/master/bert_embeddings/1.3.0/static/documentation.html
@@ -0,0 +1,230 @@
+
+<!DOCTYPE html>
+
+<html lang="en">
+<head>
+<meta charset="utf-8"/>
+<meta content="width=device-width, initial-scale=1.0" name="viewport"/><meta content="Docutils 0.17.1: http://docutils.sourceforge.net/" name="generator"/>
+<title>bert_embeddings package</title>
+<!-- Loaded before other Sphinx assets -->
+<link href="../../../_static/styles/theme.css?digest=1999514e3f237ded88cf" rel="stylesheet"/>
+<link href="../../../_static/styles/pydata-sphinx-theme.css?digest=1999514e3f237ded88cf" rel="stylesheet"/>
+<link href="../../../_static/vendor/fontawesome/5.13.0/css/all.min.css" rel="stylesheet"/>
+<link as="font" crossorigin="" href="../../../_static/vendor/fontawesome/5.13.0/webfonts/fa-solid-900.woff2" rel="preload" type="font/woff2"/>
+<link as="font" crossorigin="" href="../../../_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2" rel="preload" type="font/woff2"/>
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+<script data-url_root="./" id="documentation_options" src="../../../_static/documentation_options.js"></script>
+<script src="../../../_static/jquery.js"></script>
+<script src="../../../_static/underscore.js"></script>
+<script src="../../../_static/doctools.js"></script>
+<script>let toggleHintShow = 'Click to show';</script>
+<script>let toggleHintHide = 'Click to hide';</script>
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+<script src="../../../_static/togglebutton.js"></script>
+<script src="../../../_static/scripts/sphinx-book-theme.js"></script>
+<script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+<link href="genindex.html" rel="index" title="Index">
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+<meta content="width=device-width, initial-scale=1" name="viewport"/>
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+<!-- Checkboxes to toggle the left sidebar -->
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+<input aria-label="Toggle in-page Table of Contents" class="sidebar-toggle" id="__page-toc" name="__page-toc" type="checkbox"/>
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+<div class="bd-sidebar noprint single-page" id="site-navigation">
+</div>
+<!-- A tiny helper pixel to detect if we've scrolled -->
+<div class="sbt-scroll-pixel-helper"></div>
+<!-- Main content -->
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+<div class="header-article row sticky-top noprint">
+<div class="col py-1 d-flex header-article-main">
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+</div>
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+<button class="headerbtn" data-placement="bottom" data-toggle="tooltip" onclick="toggleFullScreen()" title="Fullscreen mode">
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+<span class="headerbtn__icon-container">
+<i class="fab fa-github"></i>
+</span>
+<span class="headerbtn__text-container">repository</span>
+</a>
+</li>
+<li>
+<a class="headerbtn" data-placement="left" data-toggle="tooltip" href="https://github.com/mlrun/marketplace/issues/new?title=Issue%20on%20page%20%2Fbert_embeddings.html&amp;body=Your%20issue%20content%20here." title="Open an issue">
+<span class="headerbtn__icon-container">
+<i class="fas fa-lightbulb"></i>
+</span>
+<span class="headerbtn__text-container">open issue</span>
+</a>
+</li>
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+<span class="headerbtn__text-container">.pdf</span>
+</button>
+</li>
+</ul>
+</div>
+</div>
+<label class="headerbtn headerbtn-page-toc" for="__page-toc">
+<span class="headerbtn__icon-container">
+<i class="fas fa-list"></i>
+</span>
+</label>
+</div>
+</div>
+<!-- Table of contents -->
+<div class="col-md-3 bd-toc show noprint">
+<div class="tocsection onthispage pt-5 pb-3">
+<i class="fas fa-list"></i> Contents
+    </div>
+<nav aria-label="Page" id="bd-toc-nav">
+<ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#submodules">
+   Submodules
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#module-bert_embeddings.bert_embeddings">
+   bert_embeddings.bert_embeddings module
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#module-bert_embeddings">
+   Module contents
+  </a>
+</li>
+</ul>
+</nav>
+</div>
+</div>
+<div class="article row">
+<div class="col pl-md-3 pl-lg-5 content-container">
+<!-- Table of contents that is only displayed when printing the page -->
+<div class="onlyprint" id="jb-print-docs-body">
+<h1>bert_embeddings package</h1>
+<!-- Table of contents -->
+<div id="print-main-content">
+<div id="jb-print-toc">
+<div>
+<h2> Contents </h2>
+</div>
+<nav aria-label="Page">
+<ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#submodules">
+   Submodules
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#module-bert_embeddings.bert_embeddings">
+   bert_embeddings.bert_embeddings module
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#module-bert_embeddings">
+   Module contents
+  </a>
+</li>
+</ul>
+</nav>
+</div>
+</div>
+</div>
+<main id="main-content" role="main">
+<div>
+<section id="bert-embeddings-package">
+<h1>bert_embeddings package<a class="headerlink" href="#bert-embeddings-package" title="Permalink to this headline">#</a></h1>
+<section id="submodules">
+<h2>Submodules<a class="headerlink" href="#submodules" title="Permalink to this headline">#</a></h2>
+</section>
+<section id="module-bert_embeddings.bert_embeddings">
+<span id="bert-embeddings-bert-embeddings-module"></span><h2>bert_embeddings.bert_embeddings module<a class="headerlink" href="#module-bert_embeddings.bert_embeddings" title="Permalink to this headline">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="bert_embeddings.bert_embeddings.handler">
+<span class="sig-prename descclassname"><span class="pre">bert_embeddings.bert_embeddings.</span></span><span class="sig-name descname"><span class="pre">handler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">context</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">event</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="bert_embeddings.html#handler"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#bert_embeddings.bert_embeddings.handler" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="bert_embeddings.bert_embeddings.init_context">
+<span class="sig-prename descclassname"><span class="pre">bert_embeddings.bert_embeddings.</span></span><span class="sig-name descname"><span class="pre">init_context</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">context</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="bert_embeddings.html#init_context"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#bert_embeddings.bert_embeddings.init_context" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+</section>
+<section id="module-bert_embeddings">
+<span id="module-contents"></span><h2>Module contents<a class="headerlink" href="#module-bert_embeddings" title="Permalink to this headline">#</a></h2>
+</section>
+</section>
+</div>
+</main>
+<footer class="footer-article noprint">
+<!-- Previous / next buttons -->
+<div class="prev-next-area">
+</div>
+</footer>
+</div>
+</div>
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+<footer class="col footer"><p>
+  
+      © Copyright .<br/>
+</p>
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\ No newline at end of file
diff --git a/functions/master/bert_embeddings/1.3.0/static/example.html b/functions/master/bert_embeddings/1.3.0/static/example.html
new file mode 100644
index 00000000..59984155
--- /dev/null
+++ b/functions/master/bert_embeddings/1.3.0/static/example.html
@@ -0,0 +1,584 @@
+
+<!DOCTYPE html>
+
+<html lang="en">
+<head>
+<meta charset="utf-8"/>
+<meta content="width=device-width, initial-scale=1.0" name="viewport"/><meta content="Docutils 0.17.1: http://docutils.sourceforge.net/" name="generator"/>
+<title>BERT Embeddings Serverless Function</title>
+<!-- Loaded before other Sphinx assets -->
+<link href="../../../_static/styles/theme.css?digest=1999514e3f237ded88cf" rel="stylesheet"/>
+<link href="../../../_static/styles/pydata-sphinx-theme.css?digest=1999514e3f237ded88cf" rel="stylesheet"/>
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+<span class="headerbtn__text-container">repository</span>
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+</li>
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+<span class="headerbtn__icon-container">
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+<!-- Table of contents -->
+<div class="col-md-3 bd-toc show noprint">
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+<i class="fas fa-list"></i> Contents
+    </div>
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+<ul class="visible nav section-nav flex-column">
+<li class="toc-h1 nav-item toc-entry">
+<a class="reference internal nav-link" href="#">
+   BERT Embeddings Serverless Function
+  </a>
+</li>
+<li class="toc-h1 nav-item toc-entry">
+<a class="reference internal nav-link" href="#embeddings-without-bert">
+   Embeddings without bert
+  </a>
+</li>
+<li class="toc-h1 nav-item toc-entry">
+<a class="reference internal nav-link" href="#introducing-bert-embeddings">
+   Introducing Bert embeddings
+  </a>
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+</ul>
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+<div class="col pl-md-3 pl-lg-5 content-container">
+<!-- Table of contents that is only displayed when printing the page -->
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+<h1>BERT Embeddings Serverless Function</h1>
+<!-- Table of contents -->
+<div id="print-main-content">
+<div id="jb-print-toc">
+<div>
+<h2> Contents </h2>
+</div>
+<nav aria-label="Page">
+<ul class="visible nav section-nav flex-column">
+<li class="toc-h1 nav-item toc-entry">
+<a class="reference internal nav-link" href="#">
+   BERT Embeddings Serverless Function
+  </a>
+</li>
+<li class="toc-h1 nav-item toc-entry">
+<a class="reference internal nav-link" href="#embeddings-without-bert">
+   Embeddings without bert
+  </a>
+</li>
+<li class="toc-h1 nav-item toc-entry">
+<a class="reference internal nav-link" href="#introducing-bert-embeddings">
+   Introducing Bert embeddings
+  </a>
+</li>
+</ul>
+</nav>
+</div>
+</div>
+</div>
+<main id="main-content" role="main">
+<div>
+<section id="bert-embeddings-serverless-function">
+<h1>BERT Embeddings Serverless Function<a class="headerlink" href="#bert-embeddings-serverless-function" title="Permalink to this headline">#</a></h1>
+<p>This notebook presents deployment of pretrained BERT model that outputs embeddings for given textual sequences as a serverless function. Embeddings are meaningful, contextual representations of text in the form of ndarrays that are used frequently as input to various learning tasks in the field of NLP.</p>
+</section>
+<section id="embeddings-without-bert">
+<h1>Embeddings without bert<a class="headerlink" href="#embeddings-without-bert" title="Permalink to this headline">#</a></h1>
+<p><a class="reference external" href="https://en.wikipedia.org/wiki/One-hot">One-Hot Encoding</a> is a general method that can vectorize any categorical features. It is simple and fast to create and update the vectorization.<br/>
+in case of <b>text</b> embeddings, each <b>row</b> is a <b>sentence</b> and each <b>column</b> is a <b>word/char/<a class="reference external" href="https://en.wikipedia.org/wiki/N-gram">n-gram</a></b>.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># some sentences to do examine</span>
+<span class="n">sentences</span> <span class="o">=</span> <span class="p">[</span><span class="s1">'the quick brown fox jumps over the lazy dog'</span><span class="p">,</span>
+              <span class="s1">'Hello I am Jacob'</span><span class="p">,</span>
+              <span class="s1">'Daniel visited Tel-Aviv last month'</span><span class="p">]</span>
+</pre></div>
+</div>
+</div>
+</div>
+<p>lets see the difference between bert embeddings and one-hot encoding</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># constructing a list of all the words (will be our columns) - make sure no duplicate words are set</span>
+<span class="n">tokens</span> <span class="o">=</span> <span class="p">[]</span>
+<span class="k">for</span> <span class="n">sentence</span> <span class="ow">in</span> <span class="n">sentences</span><span class="p">:</span>
+    <span class="k">for</span> <span class="n">word</span> <span class="ow">in</span> <span class="n">sentence</span><span class="o">.</span><span class="n">split</span><span class="p">():</span>
+        <span class="n">tokens</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">word</span><span class="p">)</span> <span class="k">if</span> <span class="n">word</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">tokens</span> <span class="k">else</span> <span class="s2">""</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">tokens</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>['the', 'quick', 'brown', 'fox', 'jumps', 'over', 'lazy', 'dog', 'Hello', 'I', 'am', 'Jacob', 'Daniel', 'visited', 'Tel-Aviv', 'last', 'month']
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># constructing the one hot vector</span>
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+
+<span class="n">one_hot</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">columns</span> <span class="o">=</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">tokens</span><span class="p">)))</span>
+<span class="c1"># filling our empty dataframe with each sentence encoding</span>
+<span class="k">for</span> <span class="n">sentence</span> <span class="ow">in</span> <span class="n">sentences</span><span class="p">:</span>
+    <span class="n">vector</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">tokens</span><span class="p">))</span>
+    <span class="k">for</span> <span class="n">word</span> <span class="ow">in</span> <span class="n">sentence</span><span class="o">.</span><span class="n">split</span><span class="p">():</span>
+        <span class="n">vector</span><span class="p">[</span><span class="n">tokens</span><span class="o">.</span><span class="n">index</span><span class="p">(</span><span class="n">word</span><span class="p">)]</span><span class="o">=</span><span class="mi">1</span>
+    <span class="n">one_hot</span> <span class="o">=</span> <span class="n">one_hot</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">(</span><span class="n">vector</span><span class="p">),</span><span class="n">ignore_index</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+<span class="n">one_hot</span><span class="o">.</span><span class="n">columns</span> <span class="o">=</span> <span class="n">tokens</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">one_hot</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_html"><div>
+<style scoped="">
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>the</th>
+<th>quick</th>
+<th>brown</th>
+<th>fox</th>
+<th>jumps</th>
+<th>over</th>
+<th>lazy</th>
+<th>dog</th>
+<th>Hello</th>
+<th>I</th>
+<th>am</th>
+<th>Jacob</th>
+<th>Daniel</th>
+<th>visited</th>
+<th>Tel-Aviv</th>
+<th>last</th>
+<th>month</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>0</th>
+<td>1.0</td>
+<td>1.0</td>
+<td>1.0</td>
+<td>1.0</td>
+<td>1.0</td>
+<td>1.0</td>
+<td>1.0</td>
+<td>1.0</td>
+<td>0.0</td>
+<td>0.0</td>
+<td>0.0</td>
+<td>0.0</td>
+<td>0.0</td>
+<td>0.0</td>
+<td>0.0</td>
+<td>0.0</td>
+<td>0.0</td>
+</tr>
+<tr>
+<th>1</th>
+<td>0.0</td>
+<td>0.0</td>
+<td>0.0</td>
+<td>0.0</td>
+<td>0.0</td>
+<td>0.0</td>
+<td>0.0</td>
+<td>0.0</td>
+<td>1.0</td>
+<td>1.0</td>
+<td>1.0</td>
+<td>1.0</td>
+<td>0.0</td>
+<td>0.0</td>
+<td>0.0</td>
+<td>0.0</td>
+<td>0.0</td>
+</tr>
+<tr>
+<th>2</th>
+<td>0.0</td>
+<td>0.0</td>
+<td>0.0</td>
+<td>0.0</td>
+<td>0.0</td>
+<td>0.0</td>
+<td>0.0</td>
+<td>0.0</td>
+<td>0.0</td>
+<td>0.0</td>
+<td>0.0</td>
+<td>0.0</td>
+<td>1.0</td>
+<td>1.0</td>
+<td>1.0</td>
+<td>1.0</td>
+<td>1.0</td>
+</tr>
+</tbody>
+</table>
+</div></div></div>
+</div>
+<p>The table above represents the one-hot encoding of our sentences, each row is a sentence and each column is a word.
+this representation is very slim and will be a very weak learning dataset.</p>
+</section>
+<section id="introducing-bert-embeddings">
+<h1>Introducing Bert embeddings<a class="headerlink" href="#introducing-bert-embeddings" title="Permalink to this headline">#</a></h1>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">mlrun</span> <span class="kn">import</span> <span class="n">import_function</span><span class="p">,</span> <span class="n">auto_mount</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># importing the function from the hub</span>
+<span class="n">fn</span> <span class="o">=</span> <span class="n">import_function</span><span class="p">(</span><span class="s2">"hub://bert_embeddings"</span><span class="p">)</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="n">auto_mount</span><span class="p">())</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># deploying the function</span>
+<span class="n">addr</span> <span class="o">=</span> <span class="n">fn</span><span class="o">.</span><span class="n">deploy</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&gt; 2023-02-02 09:29:59,002 [info] Starting remote function deploy
+2023-02-02 09:29:59  (info) Deploying function
+2023-02-02 09:29:59  (info) Building
+2023-02-02 09:29:59  (info) Staging files and preparing base images
+2023-02-02 09:29:59  (info) Building processor image
+2023-02-02 09:32:09  (info) Build complete
+2023-02-02 09:32:35  (info) Function deploy complete
+&gt; 2023-02-02 09:32:36,059 [info] successfully deployed function: {'internal_invocation_urls': ['nuclio-default-bert-embeddings.default-tenant.svc.cluster.local:8080'], 'external_invocation_urls': ['default-bert-embeddings-default.default-tenant.app.cto-office.iguazio-cd1.com/']}
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">requests</span>
+<span class="kn">import</span> <span class="nn">json</span>
+<span class="c1"># sending a request to the function endpoint to get the sentences' embeddings</span>
+<span class="n">resp</span> <span class="o">=</span> <span class="n">requests</span><span class="o">.</span><span class="n">post</span><span class="p">(</span><span class="n">addr</span><span class="p">,</span> <span class="n">json</span><span class="o">=</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">sentences</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">pickle</span>
+<span class="n">output_embeddings</span> <span class="o">=</span> <span class="n">pickle</span><span class="o">.</span><span class="n">loads</span><span class="p">(</span><span class="n">resp</span><span class="o">.</span><span class="n">content</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s1">'embeddings per token shape: </span><span class="si">{</span><span class="n">output_embeddings</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">shape</span><span class="si">}</span><span class="s1">, pooled embeddings shape: </span><span class="si">{</span><span class="n">output_embeddings</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">shape</span><span class="si">}</span><span class="s1">'</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>embeddings per token shape: (3, 11, 768), pooled embeddings shape: (3, 768)
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">output_embeddings</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_html"><div>
+<style scoped="">
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>0</th>
+<th>1</th>
+<th>2</th>
+<th>3</th>
+<th>4</th>
+<th>5</th>
+<th>6</th>
+<th>7</th>
+<th>8</th>
+<th>9</th>
+<th>...</th>
+<th>758</th>
+<th>759</th>
+<th>760</th>
+<th>761</th>
+<th>762</th>
+<th>763</th>
+<th>764</th>
+<th>765</th>
+<th>766</th>
+<th>767</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>0</th>
+<td>-0.733322</td>
+<td>-0.223540</td>
+<td>0.342462</td>
+<td>0.383463</td>
+<td>-0.164796</td>
+<td>0.040522</td>
+<td>0.802845</td>
+<td>0.152842</td>
+<td>0.331639</td>
+<td>-0.999779</td>
+<td>...</td>
+<td>0.206564</td>
+<td>0.231415</td>
+<td>0.196433</td>
+<td>0.797908</td>
+<td>0.435175</td>
+<td>0.749370</td>
+<td>0.246098</td>
+<td>0.427603</td>
+<td>-0.577384</td>
+<td>0.842063</td>
+</tr>
+<tr>
+<th>1</th>
+<td>-0.953005</td>
+<td>-0.535132</td>
+<td>-0.743822</td>
+<td>0.893934</td>
+<td>0.646276</td>
+<td>-0.279388</td>
+<td>0.943513</td>
+<td>0.275504</td>
+<td>-0.555109</td>
+<td>-0.999992</td>
+<td>...</td>
+<td>0.582386</td>
+<td>-0.004614</td>
+<td>0.976079</td>
+<td>0.931517</td>
+<td>-0.391442</td>
+<td>0.530384</td>
+<td>0.675933</td>
+<td>-0.682721</td>
+<td>-0.746339</td>
+<td>0.957809</td>
+</tr>
+<tr>
+<th>2</th>
+<td>-0.843678</td>
+<td>-0.453405</td>
+<td>-0.826011</td>
+<td>0.650805</td>
+<td>0.494036</td>
+<td>-0.154117</td>
+<td>0.821642</td>
+<td>0.349507</td>
+<td>-0.650629</td>
+<td>-0.999978</td>
+<td>...</td>
+<td>0.618286</td>
+<td>-0.336700</td>
+<td>0.936262</td>
+<td>0.857577</td>
+<td>-0.787489</td>
+<td>0.246137</td>
+<td>0.676243</td>
+<td>-0.612532</td>
+<td>-0.708786</td>
+<td>0.840879</td>
+</tr>
+</tbody>
+</table>
+<p>3 rows × 768 columns</p>
+</div></div></div>
+</div>
+<p>we can see that the size of the first dimension of the outputs is three since we passed in three sequences. Also the intermediate dimension of the first output is the maximal number of tokens across all input sequences. Sequences with less tokens are padded with zero values.<br/>
+Note that the first input has an intermediate dimension of size 11 that corresponds to the number of max tokens in the input sequence after addition of two special tokens marking beginning and end of a sequence by the tokenizer.<br/>
+The last dimension for both is of size 768 which is the embedding dimension for this default configuration of bert.<br/>
+Now you tell me, which encoding are you gonna use in your project ??</p>
+</section>
+</div>
+</main>
+<footer class="footer-article noprint">
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@@ -0,0 +1,64 @@
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
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+    <meta content="width=device-width, initial-scale=1.0" name="viewport">
+    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/styles/atom-one-dark.min.css">
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/highlight.min.js"></script>
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/languages/yaml.min.js"></script>
+    <title>Source</title>
+    <script>hljs.highlightAll();</script>
+</head>
+
+<body style="background-color:darkgray; margin: 0 0 0 0;">
+    <pre style="margin: 0 1em;">
+        <code class="yaml">
+kind: remote
+metadata:
+  name: bert-embeddings
+  tag: ''
+  hash: ecf6647fe4716e0df54ce50278b735034536a568
+  project: ''
+  labels:
+    framework: pytorch
+  categories:
+  - huggingface
+  - machine-learning
+  - data-preparation
+  - pytorch
+spec:
+  command: ''
+  args: []
+  image: mlrun/mlrun
+  build:
+    functionSourceCode: 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
+    commands: []
+    code_origin: ''
+    origin_filename: ''
+    requirements:
+    - torch
+  description: Get BERT based embeddings for given text
+  default_handler: ''
+  disable_auto_mount: false
+  clone_target_dir: ''
+  env:
+  - name: MLRUN_HTTPDB__NUCLIO__EXPLICIT_ACK
+    value: enabled
+  priority_class_name: ''
+  preemption_mode: prevent
+  min_replicas: 1
+  max_replicas: 4
+  source: ''
+  function_handler: bert_embeddings:handler
+  base_image_pull: false
+  affinity: null
+  tolerations: null
+  security_context: {}
+verbose: false
+
+        </code>
+    </pre>
+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/bert_embeddings/1.3.0/static/item.html b/functions/master/bert_embeddings/1.3.0/static/item.html
new file mode 100644
index 00000000..25e99ef6
--- /dev/null
+++ b/functions/master/bert_embeddings/1.3.0/static/item.html
@@ -0,0 +1,50 @@
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta content="IE=edge" http-equiv="X-UA-Compatible">
+    <meta content="width=device-width, initial-scale=1.0" name="viewport">
+    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/styles/atom-one-dark.min.css">
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/highlight.min.js"></script>
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/languages/yaml.min.js"></script>
+    <title>Source</title>
+    <script>hljs.highlightAll();</script>
+</head>
+
+<body style="background-color:darkgray; margin: 0 0 0 0;">
+    <pre style="margin: 0 1em;">
+        <code class="yaml">
+apiVersion: v1
+categories:
+- huggingface
+- machine-learning
+- data-preparation
+- pytorch
+description: Get BERT based embeddings for given text
+doc: ''
+example: bert_embeddings.ipynb
+generationDate: 2022-08-28:17-25
+hidden: false
+icon: ''
+labels:
+  framework: pytorch
+maintainers: []
+marketplaceType: ''
+mlrunVersion: 1.4.1
+name: bert-embeddings
+platformVersion: 3.5.3
+spec:
+  filename: bert_embeddings.py
+  handler: handler
+  image: mlrun/mlrun
+  kind: nuclio
+  requirements:
+  - torch
+url: ''
+version: 1.3.0
+
+        </code>
+    </pre>
+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/bert_embeddings/1.3.0/static/source.html b/functions/master/bert_embeddings/1.3.0/static/source.html
new file mode 100644
index 00000000..1df4accf
--- /dev/null
+++ b/functions/master/bert_embeddings/1.3.0/static/source.html
@@ -0,0 +1,63 @@
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta content="IE=edge" http-equiv="X-UA-Compatible">
+    <meta content="width=device-width, initial-scale=1.0" name="viewport">
+    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/styles/atom-one-dark.min.css">
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/highlight.min.js"></script>
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/languages/python.min.js"></script>
+    <title>Source</title>
+    <script>hljs.highlightAll();</script>
+</head>
+
+<body style="background-color:darkgray; margin: 0 0 0 0;">
+    <pre style="margin: 0 1em;">
+        <code class="python">
+# Copyright 2019 Iguazio
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+import json
+import pickle
+
+import torch
+from transformers import BertModel, BertTokenizer
+
+
+def init_context(context):
+    tokenizer = BertTokenizer.from_pretrained("bert-base-uncased")
+    model = BertModel.from_pretrained("bert-base-uncased")
+    model.eval()
+
+    setattr(context.user_data, "tokenizer", tokenizer)
+    setattr(context.user_data, "model", model)
+
+
+def handler(context, event):
+    docs = json.loads(event.body)
+    docs = [doc.lower() for doc in docs]
+    docs = context.user_data.tokenizer.batch_encode_plus(
+        docs, pad_to_max_length=True, return_tensors="pt"
+    )
+
+    with torch.no_grad():
+        embeddings = context.user_data.model(**docs)
+    embeddings = [embeddings[0].numpy(), embeddings[1].numpy()]
+    return pickle.dumps(embeddings)
+
+        </code>
+    </pre>
+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/bert_embeddings/latest/src/function.yaml b/functions/master/bert_embeddings/latest/src/function.yaml
index 4a3fcf54..15319c16 100644
--- a/functions/master/bert_embeddings/latest/src/function.yaml
+++ b/functions/master/bert_embeddings/latest/src/function.yaml
@@ -2,13 +2,15 @@ kind: remote
 metadata:
   name: bert-embeddings
   tag: ''
-  hash: 57a2ce8e0da1f6e813a8649e9ea6fcbb69a1ce5f
+  hash: ecf6647fe4716e0df54ce50278b735034536a568
   project: ''
   labels:
     framework: pytorch
   categories:
+  - huggingface
   - machine-learning
   - data-preparation
+  - pytorch
 spec:
   command: ''
   args: []
@@ -16,15 +18,17 @@ spec:
   build:
     functionSourceCode: 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
     commands: []
-    code_origin: http://github.com/aviaIguazio/functions.git#a1c9940e4c2420c88063768b4038e29b1f4e37a6:/Users/Avi_Asulin/PycharmProjects/mlrun/functions/bert_embeddings/bert_embeddings.py
-    origin_filename: /Users/Avi_Asulin/PycharmProjects/mlrun/functions/bert_embeddings/bert_embeddings.py
+    code_origin: ''
+    origin_filename: ''
     requirements:
     - torch
   description: Get BERT based embeddings for given text
   default_handler: ''
   disable_auto_mount: false
   clone_target_dir: ''
-  env: []
+  env:
+  - name: MLRUN_HTTPDB__NUCLIO__EXPLICIT_ACK
+    value: enabled
   priority_class_name: ''
   preemption_mode: prevent
   min_replicas: 1
diff --git a/functions/master/bert_embeddings/latest/src/item.yaml b/functions/master/bert_embeddings/latest/src/item.yaml
index f0eaed1c..f96e54ea 100644
--- a/functions/master/bert_embeddings/latest/src/item.yaml
+++ b/functions/master/bert_embeddings/latest/src/item.yaml
@@ -1,7 +1,9 @@
 apiVersion: v1
 categories:
+- huggingface
 - machine-learning
 - data-preparation
+- pytorch
 description: Get BERT based embeddings for given text
 doc: ''
 example: bert_embeddings.ipynb
@@ -23,4 +25,4 @@ spec:
   requirements:
   - torch
 url: ''
-version: 1.2.0
+version: 1.3.0
diff --git a/functions/master/bert_embeddings/latest/static/function.html b/functions/master/bert_embeddings/latest/static/function.html
index 985f9e26..9ab9c5fd 100644
--- a/functions/master/bert_embeddings/latest/static/function.html
+++ b/functions/master/bert_embeddings/latest/static/function.html
@@ -19,13 +19,15 @@
 metadata:
   name: bert-embeddings
   tag: ''
-  hash: 57a2ce8e0da1f6e813a8649e9ea6fcbb69a1ce5f
+  hash: ecf6647fe4716e0df54ce50278b735034536a568
   project: ''
   labels:
     framework: pytorch
   categories:
+  - huggingface
   - machine-learning
   - data-preparation
+  - pytorch
 spec:
   command: ''
   args: []
@@ -33,15 +35,17 @@
   build:
     functionSourceCode: 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
     commands: []
-    code_origin: http://github.com/aviaIguazio/functions.git#a1c9940e4c2420c88063768b4038e29b1f4e37a6:/Users/Avi_Asulin/PycharmProjects/mlrun/functions/bert_embeddings/bert_embeddings.py
-    origin_filename: /Users/Avi_Asulin/PycharmProjects/mlrun/functions/bert_embeddings/bert_embeddings.py
+    code_origin: ''
+    origin_filename: ''
     requirements:
     - torch
   description: Get BERT based embeddings for given text
   default_handler: ''
   disable_auto_mount: false
   clone_target_dir: ''
-  env: []
+  env:
+  - name: MLRUN_HTTPDB__NUCLIO__EXPLICIT_ACK
+    value: enabled
   priority_class_name: ''
   preemption_mode: prevent
   min_replicas: 1
diff --git a/functions/master/bert_embeddings/latest/static/item.html b/functions/master/bert_embeddings/latest/static/item.html
index 612e78b6..25e99ef6 100644
--- a/functions/master/bert_embeddings/latest/static/item.html
+++ b/functions/master/bert_embeddings/latest/static/item.html
@@ -17,8 +17,10 @@
         <code class="yaml">
 apiVersion: v1
 categories:
+- huggingface
 - machine-learning
 - data-preparation
+- pytorch
 description: Get BERT based embeddings for given text
 doc: ''
 example: bert_embeddings.ipynb
@@ -40,7 +42,7 @@
   requirements:
   - torch
 url: ''
-version: 1.2.0
+version: 1.3.0
 
         </code>
     </pre>
diff --git a/functions/master/catalog.json b/functions/master/catalog.json
index 3c25469b..cc0de364 100644
--- a/functions/master/catalog.json
+++ b/functions/master/catalog.json
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audio file from text using different speakers", "doc": "", "example": "text_to_audio_generator.ipynb", "generationDate": "2023-12-03:15-30", "hidden": false, "icon": "", "labels": {"author": "yonatans"}, "maintainers": [], "marketplaceType": "", "mlrunVersion": "1.5.1", "name": "text_to_audio_generator", "platformVersion": "3.5.3", "spec": {"filename": "text_to_audio_generator.py", "handler": "generate_multi_speakers_audio", "image": "mlrun/mlrun", "kind": "job", "requirements": ["bark", "torchaudio"]}, "url": "", "version": "1.2.0", "test_valid": true, "assets": {"example": "src/text_to_audio_generator.ipynb", "source": "src/text_to_audio_generator.py", "function": "src/function.yaml", "docs": "static/documentation.html"}}, "1.0.0": {"apiVersion": "v1", "categories": ["data-preparation", "machine-learning"], "description": "Generate audio file from text using different speakers", "doc": "", "example": "text_to_audio_generator.ipynb", "generationDate": "2023-12-03:15-30", "hidden": false, "icon": "", "labels": {"author": "yonatans"}, "maintainers": [], "marketplaceType": "", "mlrunVersion": "1.5.1", "name": "text_to_audio_generator", "platformVersion": "3.5.3", "spec": {"filename": "text_to_audio_generator.py", "handler": "generate_multi_speakers_audio", "image": "mlrun/mlrun", "kind": "job", "requirements": ["bark", "torchaudio"]}, "url": "", "version": "1.0.0", "test_valid": true, "assets": {"example": "src/text_to_audio_generator.ipynb", "source": "src/text_to_audio_generator.py", "function": "src/function.yaml", "docs": "static/documentation.html"}}}, "silero_vad": {"latest": {"apiVersion": "v1", "categories": ["deep-learning", "pytorch", "audio"], "description": "Silero VAD (Voice Activity Detection) functions.", "doc": "", "example": "silero_vad.ipynb", "generationDate": "2023-12-03:14-30", "hidden": false, "icon": "", "labels": {"author": "guyl"}, "maintainers": [], "marketplaceType": "", "mlrunVersion": "1.5.2", "name": "silero_vad", "platformVersion": "3.5.3", "spec": {"filename": "silero_vad.py", "handler": "detect_voice", "image": "mlrun/mlrun", "kind": "job", "requirements": ["torch", "torchaudio", "tqdm", "onnxruntime"]}, "url": "", "version": "1.3.0", "assets": {"example": "src/silero_vad.ipynb", "source": "src/silero_vad.py", "function": "src/function.yaml", "docs": "static/documentation.html"}}, "1.1.0": {"apiVersion": "v1", "categories": ["deep-learning", "pytorch", "audio"], "description": "Silero VAD (Voice Activity Detection) functions.", "doc": "", "example": "silero_vad.ipynb", "generationDate": "2023-12-03:14-30", "hidden": false, "icon": "", "labels": {"author": "guyl"}, "maintainers": [], "marketplaceType": "", "mlrunVersion": "1.5.2", "name": "silero_vad", "platformVersion": "3.5.3", "spec": {"filename": "silero_vad.py", "handler": "detect_voice", "image": "mlrun/mlrun", "kind": "job", "requirements": ["torch", "torchaudio", "tqdm", "onnxruntime"]}, "url": "", "version": "1.1.0", "assets": {"example": "src/silero_vad.ipynb", "source": "src/silero_vad.py", "function": "src/function.yaml", "docs": "static/documentation.html"}}, "1.3.0": {"apiVersion": "v1", "categories": ["deep-learning", "pytorch", "audio"], "description": "Silero VAD (Voice Activity Detection) functions.", "doc": "", "example": "silero_vad.ipynb", "generationDate": "2023-12-03:14-30", "hidden": false, "icon": "", "labels": {"author": "guyl"}, "maintainers": [], "marketplaceType": "", "mlrunVersion": "1.5.2", "name": "silero_vad", "platformVersion": "3.5.3", "spec": {"filename": "silero_vad.py", "handler": "detect_voice", "image": "mlrun/mlrun", "kind": "job", "requirements": ["torch", "torchaudio", "tqdm", "onnxruntime"]}, "url": "", "version": "1.3.0", "assets": {"example": "src/silero_vad.ipynb", "source": "src/silero_vad.py", "function": "src/function.yaml", "docs": "static/documentation.html"}}, "1.2.0": {"apiVersion": "v1", "categories": ["deep-learning", "pytorch", "audio"], "description": "Silero VAD (Voice Activity Detection) functions.", "doc": "", "example": "silero_vad.ipynb", "generationDate": "2023-12-03:14-30", "hidden": false, "icon": "", "labels": {"author": "guyl"}, "maintainers": [], "marketplaceType": "", "mlrunVersion": "1.5.2", "name": "silero_vad", "platformVersion": "3.5.3", "spec": {"filename": "silero_vad.py", "handler": "detect_voice", "image": "mlrun/mlrun", "kind": "job", "requirements": ["torch", "torchaudio", "tqdm", "onnxruntime"]}, "url": "", "version": "1.2.0", "assets": {"example": "src/silero_vad.ipynb", "source": "src/silero_vad.py", "function": "src/function.yaml", "docs": "static/documentation.html"}}}, "pyannote_audio": {"latest": {"apiVersion": "v1", "categories": ["deep-learning", "huggingface", "audio"], "description": "pyannote's speech diarization of audio files", "doc": "", "example": "pyannote_audio.ipynb", "generationDate": "2023-12-03:14-30", "hidden": false, "icon": "", "labels": {"author": "guyl"}, "maintainers": [], "marketplaceType": "", "mlrunVersion": "1.5.2", "name": "pyannote-audio", "platformVersion": "3.5.3", "spec": {"filename": "pyannote_audio.py", "handler": "diarize", "image": "mlrun/mlrun-gpu", "kind": "job", "requirements": ["pyannote.audio", "pyannote.core", "torchaudio", "tqdm"]}, "url": "", "version": "1.2.0", "assets": {"example": "src/pyannote_audio.ipynb", "source": "src/pyannote_audio.py", "function": "src/function.yaml", "docs": "static/documentation.html"}}, "1.1.0": {"apiVersion": "v1", "categories": ["deep-learning", "huggingface", "audio"], "description": "pyannote's speech diarization of audio files", "doc": "", "example": "pyannote_audio.ipynb", "generationDate": "2023-12-03:14-30", "hidden": false, "icon": "", "labels": {"author": "guyl"}, "maintainers": [], "marketplaceType": "", "mlrunVersion": "1.5.2", "name": "pyannote-audio", "platformVersion": "3.5.3", "spec": {"filename": "pyannote_audio.py", "handler": "diarize", "image": "mlrun/mlrun-gpu", "kind": "job", "requirements": ["pyannote.audio", "pyannote.core", "torchaudio", "tqdm"]}, "url": "", "version": "1.1.0", "assets": {"example": "src/pyannote_audio.ipynb", "source": "src/pyannote_audio.py", "function": "src/function.yaml", "docs": "static/documentation.html"}}, "1.2.0": {"apiVersion": "v1", "categories": ["deep-learning", "huggingface", "audio"], "description": "pyannote's speech diarization of audio files", "doc": "", "example": "pyannote_audio.ipynb", "generationDate": "2023-12-03:14-30", "hidden": false, "icon": "", "labels": {"author": "guyl"}, "maintainers": [], "marketplaceType": "", "mlrunVersion": "1.5.2", "name": "pyannote-audio", "platformVersion": "3.5.3", "spec": {"filename": "pyannote_audio.py", "handler": "diarize", "image": "mlrun/mlrun-gpu", "kind": "job", "requirements": ["pyannote.audio", "pyannote.core", "torchaudio", "tqdm"]}, "url": "", "version": "1.2.0", "assets": {"example": "src/pyannote_audio.ipynb", "source": "src/pyannote_audio.py", "function": "src/function.yaml", "docs": "static/documentation.html"}}, "1.0.0": {"apiVersion": "v1", "categories": ["deep-learning", "huggingface", "audio"], "description": "pyannote's speech diarization of audio files", "doc": "", "example": "pyannote_audio.ipynb", "generationDate": "2023-12-03:14-30", "hidden": false, "icon": "", "labels": {"author": "guyl"}, "maintainers": [], "marketplaceType": "", "mlrunVersion": "1.5.2", "name": "pyannote-audio", "platformVersion": "3.5.3", "spec": {"filename": "pyannote_audio.py", "handler": "diarize", "image": "mlrun/mlrun-gpu", "kind": "job", "requirements": ["pyannote.audio", "pyannote.core", "torchaudio", "tqdm"]}, "url": "", "version": "1.0.0", "assets": {"example": "src/pyannote_audio.ipynb", "source": "src/pyannote_audio.py", "function": "src/function.yaml", "docs": "static/documentation.html"}}}}
\ No newline at end of file
diff --git a/functions/master/hugging_face_classifier_trainer/0.3.0/src/function.yaml b/functions/master/hugging_face_classifier_trainer/0.3.0/src/function.yaml
new file mode 100644
index 00000000..65f5aeb1
--- /dev/null
+++ b/functions/master/hugging_face_classifier_trainer/0.3.0/src/function.yaml
@@ -0,0 +1,370 @@
+kind: job
+metadata:
+  name: hugging-face-classifier-trainer
+  tag: ''
+  hash: f9d8aa4a2c66e24fa418bb163829adc3e2ada06c
+  project: ''
+  labels:
+    author: davids
+  categories:
+  - deep-learning
+  - huggingface
+  - machine-learning
+  - model-training
+spec:
+  command: ''
+  args: []
+  image: ''
+  build:
+    functionSourceCode: import os
import shutil
import tempfile
import zipfile
from abc import ABC
from typing import Any, Callable, Dict, List, Optional, Tuple, Union

import mlrun
import mlrun.datastore
import mlrun.utils
import numpy as np
import pandas as pd
import transformers
from datasets import Dataset, load_dataset, load_metric
from mlrun import MLClientCtx
from mlrun import feature_store as fs
from mlrun.artifacts import Artifact, PlotlyArtifact
from mlrun.datastore import DataItem
from mlrun.frameworks._common import CommonTypes, MLRunInterface
from mlrun.utils import create_class
from plotly import graph_objects as go
from sklearn.model_selection import train_test_split
from transformers import (
    AutoTokenizer,
    DataCollatorWithPadding,
    EvalPrediction,
    PreTrainedModel,
    PreTrainedTokenizer,
    Trainer,
    TrainerCallback,
    TrainerControl,
    TrainerState,
    TrainingArguments,
)


# ----------------------from MLRUN--------------------------------
class HFORTOptimizerMLRunInterface(MLRunInterface, ABC):
    """
    Interface for adding MLRun features for tensorflow keras API.
    """

    # MLRun's context default name:
    DEFAULT_CONTEXT_NAME = "mlrun-huggingface"

    # Attributes to be inserted so the MLRun interface will be fully enabled.
    _PROPERTIES = {
        "_auto_log": False,
        "_context": None,
        "_model_name": "model",
        "_tag": "",
        "_labels": None,
        "_extra_data": None,
    }
    _METHODS = ["enable_auto_logging"]
    # Attributes to replace so the MLRun interface will be fully enabled.
    _REPLACED_METHODS = [
        "optimize",
    ]

    @classmethod
    def add_interface(
        cls,
        obj,
        restoration: CommonTypes.MLRunInterfaceRestorationType = None,
    ):
        """
        Enrich the object with this interface properties, methods and functions, so it will have this TensorFlow.Keras
        MLRun's features.
        :param obj:                     The object to enrich his interface.
        :param restoration: Restoration information tuple as returned from 'remove_interface' in order to
                                        add the interface in a certain state.
        """
        super(HFORTOptimizerMLRunInterface, cls).add_interface(
            obj=obj, restoration=restoration
        )

    @classmethod
    def mlrun_optimize(cls):
        """
        MLRun's tf.keras.Model.fit wrapper. It will setup the optimizer when using horovod. The optimizer must be
        passed in a keyword argument and when using horovod, it must be passed as an Optimizer instance, not a string.

        raise MLRunInvalidArgumentError: In case the optimizer provided did not follow the instructions above.
        """

        def wrapper(self, *args, **kwargs):
            save_dir = cls._get_function_argument(
                self.optimize,
                argument_name="save_dir",
                passed_args=args,
                passed_kwargs=kwargs,
            )[0]

            # Call the original optimize method:
            result = self.original_optimize(*args, **kwargs)

            if self._auto_log:
                # Log the onnx model:
                self._context.log_model(
                    key="model",
                    db_key=self._model_name,
                    model_file=f"{save_dir}/model_optimized.onnx",
                    tag=self._tag,
                    framework="ONNX",
                    labels=self._labels,
                    extra_data=self._extra_data,
                )

            return result

        return wrapper

    def enable_auto_logging(
        self,
        context: mlrun.MLClientCtx,
        model_name: str = "model",
        tag: str = "",
        labels: Dict[str, str] = None,
        extra_data: dict = None,
    ):
        self._auto_log = True

        self._context = context
        self._model_name = model_name
        self._tag = tag
        self._labels = labels
        self._extra_data = extra_data


class HFTrainerMLRunInterface(MLRunInterface, ABC):
    """
    Interface for adding MLRun features for tensorflow keras API.
    """

    # MLRuns context default name:
    DEFAULT_CONTEXT_NAME = "mlrun-huggingface"

    # Attributes to replace so the MLRun interface will be fully enabled.
    _REPLACED_METHODS = [
        "train",
        # "evaluate"
    ]

    @classmethod
    def add_interface(
        cls,
        obj: Trainer,
        restoration: CommonTypes.MLRunInterfaceRestorationType = None,
    ):
        """
        Enrich the object with this interface properties, methods and functions, so it will have this TensorFlow.Keras
        MLRuns features.
        :param obj:                     The object to enrich his interface.
        :param restoration: Restoration information tuple as returned from 'remove_interface' in order to
                                        add the interface in a certain state.
        """

        super(HFTrainerMLRunInterface, cls).add_interface(
            obj=obj, restoration=restoration
        )

    @classmethod
    def mlrun_train(cls):

        """
        MLRuns tf.keras.Model.fit wrapper. It will setup the optimizer when using horovod. The optimizer must be
        passed in a keyword argument and when using horovod, it must be passed as an Optimizer instance, not a string.

        raise MLRunInvalidArgumentError: In case the optimizer provided did not follow the instructions above.
        """

        def wrapper(self: Trainer, *args, **kwargs):
            # Restore the evaluation method as `train` will use it:
            # cls._restore_attribute(obj=self, attribute_name="evaluate")

            # Call the original fit method:
            result = self.original_train(*args, **kwargs)

            # Replace the evaluation method again:
            # cls._replace_function(obj=self, function_name="evaluate")

            return result

        return wrapper


class MLRunCallback(TrainerCallback):
    """
    Callback for collecting logs during training / evaluation of the `Trainer` API.
    """

    def __init__(
        self,
        context: mlrun.MLClientCtx = None,
        model_name: str = "model",
        tag: str = "",
        labels: Dict[str, str] = None,
        extra_data: dict = None,
    ):
        super().__init__()

        # Store the configurations:
        self._context = (
            context
            if context is not None
            else mlrun.get_or_create_ctx("./mlrun-huggingface")
        )
        self._model_name = model_name
        self._tag = tag
        self._labels = labels
        self._extra_data = extra_data if extra_data is not None else {}

        # Set up the logging mode:
        self._is_training = False
        self._steps: List[List[int]] = []
        self._metric_scores: Dict[str, List[float]] = {}
        self._artifacts: Dict[str, Artifact] = {}

    def on_epoch_begin(
        self,
        args: TrainingArguments,
        state: TrainerState,
        control: TrainerControl,
        **kwargs,
    ):
        self._steps.append([])

    def on_epoch_end(
        self,
        args: TrainingArguments,
        state: TrainerState,
        control: TrainerControl,
        **kwargs,
    ):
        self._log_metrics()

    def on_log(
        self,
        args: TrainingArguments,
        state: TrainerState,
        control: TrainerControl,
        logs: Dict[str, float] = None,
        **kwargs,
    ):
        recent_logs = state.log_history[-1].copy()

        recent_logs.pop("epoch")
        current_step = int(recent_logs.pop("step"))
        if current_step not in self._steps[-1]:
            self._steps[-1].append(current_step)

        for metric_name, metric_score in recent_logs.items():
            if metric_name.startswith("train_"):
                if metric_name.split("train_")[1] not in self._metric_scores:
                    self._metric_scores[metric_name] = [metric_score]
                continue
            if metric_name not in self._metric_scores:
                self._metric_scores[metric_name] = []
            self._metric_scores[metric_name].append(metric_score)

    def on_train_begin(
        self,
        args: TrainingArguments,
        state: TrainerState,
        control: TrainerControl,
        **kwargs,
    ):
        self._is_training = True

    def on_train_end(
        self,
        args: TrainingArguments,
        state: TrainerState,
        control: TrainerControl,
        model: PreTrainedModel = None,
        tokenizer: PreTrainedTokenizer = None,
        **kwargs,
    ):
        self._log_metrics()

        temp_directory = tempfile.gettempdir()

        # Save and log the tokenizer:
        if tokenizer is not None:
            # Save tokenizer:
            tokenizer_dir = os.path.join(temp_directory, "tokenizer")
            tokenizer.save_pretrained(save_directory=tokenizer_dir)
            # Zip the tokenizer directory:
            tokenizer_zip = shutil.make_archive(
                base_name="tokenizer",
                format="zip",
                root_dir=tokenizer_dir,
            )
            # Log the zip file:
            self._artifacts["tokenizer"] = self._context.log_artifact(
                item="tokenizer", local_path=tokenizer_zip
            )

        # Save the model:
        model_dir = os.path.join(temp_directory, "model")
        model.save_pretrained(save_directory=model_dir)

        # Zip the model directory:
        shutil.make_archive(
            base_name="model",
            format="zip",
            root_dir=model_dir,
        )

        # Log the model:
        self._context.log_model(
            key="model",
            db_key=self._model_name,
            model_file="model.zip",
            tag=self._tag,
            framework="Hugging Face",
            labels=self._labels,
            extra_data={**self._artifacts, **self._extra_data},
        )

    def on_evaluate(
        self,
        args: TrainingArguments,
        state: TrainerState,
        control: TrainerControl,
        **kwargs,
    ):
        self._log_metrics()

        if self._is_training:
            return

        # TODO: Update the model object

    def _log_metrics(self):
        for metric_name, metric_scores in self._metric_scores.items():
            self._context.log_result(key=metric_name, value=metric_scores[-1])
            if len(metric_scores) > 1:
                self._log_metric_plot(name=metric_name, scores=metric_scores)
        self._context.commit(completed=False)

    def _log_metric_plot(self, name: str, scores: List[float]):
        # Initialize a plotly figure:
        metric_figure = go.Figure()

        # Add titles:
        metric_figure.update_layout(
            title=name.capitalize().replace("_", " "),
            xaxis_title="Samples",
            yaxis_title="Scores",
        )

        # Draw:
        metric_figure.add_trace(
            go.Scatter(x=np.arange(len(scores)), y=scores, mode="lines")
        )

        # Create the plotly artifact:
        artifact_name = f"{name}_plot"
        artifact = PlotlyArtifact(key=artifact_name, figure=metric_figure)
        self._artifacts[artifact_name] = self._context.log_artifact(artifact)


def _apply_mlrun_on_trainer(
    trainer: transformers.Trainer,
    model_name: str = None,
    tag: str = "",
    context: mlrun.MLClientCtx = None,
    auto_log: bool = True,
    labels: Dict[str, str] = None,
    extra_data: dict = None,
    **kwargs,
):
    # Get parameters defaults:
    if context is None:
        context = mlrun.get_or_create_ctx(HFTrainerMLRunInterface.DEFAULT_CONTEXT_NAME)

    HFTrainerMLRunInterface.add_interface(obj=trainer)

    if auto_log:
        trainer.add_callback(
            MLRunCallback(
                context=context,
                model_name=model_name,
                tag=tag,
                labels=labels,
                extra_data=extra_data,
            )
        )


def _apply_mlrun_on_optimizer(
    optimizer,
    model_name: str = None,
    tag: str = "",
    context: mlrun.MLClientCtx = None,
    auto_log: bool = True,
    labels: Dict[str, str] = None,
    extra_data: dict = None,
    **kwargs,
):
    # Get parameters defaults:
    if context is None:
        context = mlrun.get_or_create_ctx(
            HFORTOptimizerMLRunInterface.DEFAULT_CONTEXT_NAME
        )

    HFORTOptimizerMLRunInterface.add_interface(obj=optimizer)

    if auto_log:
        optimizer.enable_auto_logging(
            context=context,
            model_name=model_name,
            tag=tag,
            labels=labels,
            extra_data=extra_data,
        )


def apply_mlrun(
    huggingface_object,
    model_name: str = None,
    tag: str = "",
    context: mlrun.MLClientCtx = None,
    auto_log: bool = True,
    labels: Dict[str, str] = None,
    extra_data: dict = None,
    **kwargs,
):
    """
    Wrap the given model with MLRun's interface providing it with mlrun's additional features.
    :param huggingface_object: The model to wrap. Can be loaded from the model path given as well.
    :param model_name:         The model name to use for storing the model artifact. Default: "model".
    :param tag:                The model's tag to log with.
    :param context:            MLRun context to work with. If no context is given it will be retrieved via
                               'mlrun.get_or_create_ctx(None)'
    :param auto_log:           Whether to enable MLRun's auto logging. Default: True.
    """

    if isinstance(huggingface_object, transformers.Trainer):
        return _apply_mlrun_on_trainer(
            trainer=huggingface_object,
            model_name=model_name,
            tag=tag,
            context=context,
            auto_log=auto_log,
            labels=labels,
            extra_data=extra_data,
        )
    import optimum.onnxruntime as optimum_ort

    if isinstance(huggingface_object, optimum_ort.ORTOptimizer):
        return _apply_mlrun_on_optimizer(
            optimizer=huggingface_object,
            model_name=model_name,
            tag=tag,
            context=context,
            auto_log=auto_log,
            labels=labels,
            extra_data=extra_data,
        )
    raise mlrun.errors.MLRunInvalidArgumentError


# ---------------------- from auto_trainer--------------------------------
class KWArgsPrefixes:
    MODEL_CLASS = "CLASS_"
    FIT = "FIT_"
    TRAIN = "TRAIN_"
    PREDICT = "PREDICT_"


def _get_sub_dict_by_prefix(src: Dict, prefix_key: str) -> Dict[str, Any]:
    """
    Collect all the keys from the given dict that starts with the given prefix and creates a new dictionary with these
    keys.

    :param src:         The source dict to extract the values from.
    :param prefix_key:  Only keys with this prefix will be returned. The keys in the result dict will be without this
                        prefix.
    """
    return {
        key.replace(prefix_key, ""): val
        for key, val in src.items()
        if key.startswith(prefix_key)
    }


def _get_dataframe(
    context: MLClientCtx,
    dataset: DataItem,
    label_columns: Optional[Union[str, List[str]]] = None,
    drop_columns: Union[str, List[str], int, List[int]] = None,
) -> Tuple[pd.DataFrame, Optional[Union[str, List[str]]]]:
    """
    Getting the DataFrame of the dataset and drop the columns accordingly.

    :param context:         MLRun context.
    :param dataset:         The dataset to train the model on.
                            Can be either a list of lists, dict, URI or a FeatureVector.
    :param label_columns:   The target label(s) of the column(s) in the dataset. for Regression or
                            Classification tasks.
    :param drop_columns:    str/int or a list of strings/ints that represent the column names/indices to drop.
    """
    if isinstance(dataset, (list, dict)):
        dataset = pd.DataFrame(dataset)
        # Checking if drop_columns provided by integer type:
        if drop_columns:
            if isinstance(drop_columns, str) or (
                isinstance(drop_columns, list)
                and any(isinstance(col, str) for col in drop_columns)
            ):
                context.logger.error(
                    "drop_columns must be an integer/list of integers if not provided with a URI/FeatureVector dataset"
                )
                raise ValueError
            dataset.drop(drop_columns, axis=1, inplace=True)

        return dataset, label_columns

    store_uri_prefix, _ = mlrun.datastore.parse_store_uri(dataset.artifact_url)
    if mlrun.utils.StorePrefix.FeatureVector == store_uri_prefix:
        # feature-vector case:
        label_columns = label_columns or dataset.meta.status.label_column
        dataset = fs.get_offline_features(
            dataset.meta.uri, drop_columns=drop_columns
        ).to_dataframe()

        context.logger.info(f"label columns: {label_columns}")
    else:
        # simple URL case:
        dataset = dataset.as_df()
        if drop_columns:
            if all(col in dataset for col in drop_columns):
                dataset = dataset.drop(drop_columns, axis=1)
            else:
                context.logger.info(
                    "not all of the columns to drop in the dataset, drop columns process skipped"
                )
    return dataset, label_columns


# ---------------------- Hugging Face Trainer --------------------------------


def _create_compute_metrics(metrics: List[str]) -> Callable[[EvalPrediction], Dict]:
    """
    This function create and returns a function that will be used to compute metrics at evaluation.
    :param metrics: List of different metrics for evaluate the model such as f1, accuracy etc.

    :returns: Function that will be used to compute metrics at evaluation.
             Must take a [`EvalPrediction`] and return a dictionary string to metric values.
    """

    def _compute_metrics(eval_pred):
        logits, labels = eval_pred
        predictions = np.argmax(logits, axis=-1)
        metric_dict_results = {}
        for metric in metrics:
            load_met = load_metric(metric)
            metric_res = load_met.compute(predictions=predictions, references=labels)[
                metric
            ]
            metric_dict_results[metric] = metric_res

        return metric_dict_results

    return _compute_metrics


def _edit_columns(
    dataset: Dataset,
    drop_columns: List[str] = None,
    rename_columns: [str, str] = None,
) -> Dataset:
    """
    Drop and renames that columns of the given dataset
    :param dataset:         Dataset to process
    :param drop_columns:    The columns to drop from the dataset.
    :param rename_columns:  Dict of columns ro rename : {<old_name>: <new_name>, ...}

    :returns: The dataset after the desired process
    """
    if drop_columns:
        dataset = dataset.remove_columns(drop_columns)
    if rename_columns:
        dataset = dataset.rename_columns(rename_columns)
    return dataset


def _prepare_dataset(
    context: MLClientCtx,
    dataset_name: str,
    label_name: str = None,
    drop_columns: Optional[List[str]] = None,
    num_of_train_samples: int = None,
    train_test_split_size: float = None,
    random_state: int = None,
) -> Tuple[Dataset, Dataset]:
    """
    Loading the dataset and editing the columns

    :param context:                 MLRun contex
    :param dataset_name:            The name of the dataset to get from the HuggingFace hub
    :param label_name:              The target label of the column in the dataset.
    :param drop_columns:            The columns to drop from the dataset.
    :param num_of_train_samples:    Max number of training samples, for debugging.
    :param train_test_split_size:   Should be between 0.0 and 1.0 and represent the proportion of the dataset to include
                                    in the test split.
    :param random_state:            Random state for train_test_split

    """

    context.logger.info(
        f"Loading and editing {dataset_name} dataset from Hugging Face hub"
    )
    rename_cols = {label_name: "labels"}

    # Loading and editing dataset:
    dataset = load_dataset(dataset_name)

    # train set
    train_dataset = dataset["train"]
    if num_of_train_samples:
        train_dataset = train_dataset.shuffle(seed=random_state).select(
            list(range(num_of_train_samples))
        )
    train_dataset = _edit_columns(train_dataset, drop_columns, rename_cols)

    # test set
    test_dataset = dataset["test"]
    if train_test_split_size or num_of_train_samples:
        train_test_split_size = train_test_split_size or 0.2
        num_of_test_samples = int(
            (train_dataset.num_rows * train_test_split_size)
            // (1 - train_test_split_size)
        )
        test_dataset = test_dataset.shuffle(seed=random_state).select(
            list(range(num_of_test_samples))
        )
    test_dataset = _edit_columns(test_dataset, drop_columns, rename_cols)

    return train_dataset, test_dataset


def train(
    context: MLClientCtx,
    hf_dataset: str = None,
    dataset: DataItem = None,
    test_set: DataItem = None,
    drop_columns: Optional[List[str]] = None,
    pretrained_tokenizer: str = None,
    pretrained_model: str = None,
    model_class: str = None,
    model_name: str = "huggingface-model",
    label_name: str = "labels",
    text_col: str = "text",
    num_of_train_samples: int = None,
    train_test_split_size: float = None,
    metrics: List[str] = None,
    random_state: int = None,
):
    """
    Training and evaluating a pretrained model with a pretrained tokenizer over a dataset.
    The dataset can be either be the name of the dataset that contains in the HuggingFace hub,
    or a URI or a FeatureVector

    :param context:                 MLRun context
    :param hf_dataset:              The name of the dataset to get from the HuggingFace hub
    :param dataset:                 The dataset to train the model on. Can be either a URI or a FeatureVector
    :param test_set:                The test set to train the model with.
    :param drop_columns:            The columns to drop from the dataset.
    :param pretrained_tokenizer:    The name of the pretrained tokenizer from the HuggingFace hub.
    :param pretrained_model:        The name of the pretrained model from the HuggingFace hub.
    :param model_name:              The model's name to use for storing the model artifact, default to 'model'
    :param model_class:             The class of the model, e.g. `transformers.AutoModelForSequenceClassification`
    :param label_name:              The target label of the column in the dataset.
    :param text_col:                The input text column un the dataset.
    :param num_of_train_samples:    Max number of training samples, for debugging.
    :param train_test_split_size:   Should be between 0.0 and 1.0 and represent the proportion of the dataset to include
                                    in the test split.
    :param metrics:                 List of different metrics for evaluate the model such as f1, accuracy etc.
    :param random_state:            Random state for train_test_split
    """

    if train_test_split_size is None and test_set is None:
        context.logger.info(
            "'train_test_split_size' is not provided, setting train_test_split_size to 0.2"
        )
        train_test_split_size = 0.2

    # Creating tokenizer:
    tokenizer = AutoTokenizer.from_pretrained(pretrained_tokenizer)

    def preprocess_function(examples):
        return tokenizer(examples[text_col], truncation=True)

    # prepare data for training
    if hf_dataset:
        train_dataset, test_dataset = _prepare_dataset(
            context,
            hf_dataset,
            label_name,
            drop_columns,
            num_of_train_samples,
            train_test_split_size,
            random_state=random_state,
        )
    elif dataset:
        # Get DataFrame by URL or by FeatureVector:
        train_dataset, label_name = _get_dataframe(
            context=context,
            dataset=dataset,
            label_columns=label_name,
            drop_columns=drop_columns,
        )
        if test_set:
            test_dataset, _ = _get_dataframe(
                context=context,
                dataset=test_set,
                label_columns=label_name,
                drop_columns=drop_columns,
            )
        else:
            train_dataset, test_dataset = train_test_split(
                train_dataset,
                test_size=train_test_split_size,
                random_state=random_state,
            )
        train_dataset = Dataset.from_pandas(train_dataset)
        test_dataset = Dataset.from_pandas(test_dataset)
    else:
        raise mlrun.errors.MLRunInvalidArgumentError(
            "Training data was not provided. A training dataset is mandatory for training."
            " Please provide a training set using one of the arguments 'hf_dataset' or 'dataset'."
        )

    # Mapping datasets with the tokenizer:
    tokenized_train = train_dataset.map(preprocess_function, batched=True)
    tokenized_test = test_dataset.map(preprocess_function, batched=True)

    # Creating data collator for batching:
    data_collator = DataCollatorWithPadding(tokenizer=tokenizer)

    # Parsing kwargs:
    train_kwargs = _get_sub_dict_by_prefix(
        src=context.parameters, prefix_key=KWArgsPrefixes.TRAIN
    )
    model_class_kwargs = _get_sub_dict_by_prefix(
        src=context.parameters, prefix_key=KWArgsPrefixes.MODEL_CLASS
    )

    # Loading our pretrained model:
    model_class_kwargs["pretrained_model_name_or_path"] = (
        model_class_kwargs.get("pretrained_model_name_or_path") or pretrained_model
    )
    train_kwargs["hub_token"] = train_kwargs.get("hub_token") or pretrained_tokenizer
    if not model_class_kwargs["pretrained_model_name_or_path"]:
        raise mlrun.errors.MLRunRuntimeError(
            "Must provide pretrained_model name as "
            "function argument or in extra params"
        )
    model = create_class(model_class).from_pretrained(**model_class_kwargs)

    # Preparing training arguments:
    training_args = TrainingArguments(
        **train_kwargs,
    )

    compute_metrics = _create_compute_metrics(metrics) if metrics else None
    trainer = Trainer(
        model=model,
        args=training_args,
        train_dataset=tokenized_train,
        eval_dataset=tokenized_test,
        tokenizer=tokenizer,
        data_collator=data_collator,
        compute_metrics=compute_metrics,
    )

    apply_mlrun(trainer, model_name=model_name)

    # Apply training with evaluation:
    context.logger.info(f"training '{model_name}'")
    trainer.train()


def _get_model_dir(model_uri: str):
    model_file, _, _ = mlrun.artifacts.get_model(model_uri)
    model_dir = tempfile.gettempdir()
    # Unzip the Model:
    with zipfile.ZipFile(model_file, "r") as zip_file:
        zip_file.extractall(model_dir)

    return model_dir


def optimize(
    model_path: str,
    model_name: str = "optimized_model",
    target_dir: str = "./optimized",
    optimization_level: int = 1,
):
    """
    Optimizing the transformer model using ONNX optimization.


    :param model_path:          The path of the model to optimize.
    :param model_name:          Name of the optimized model.
    :param target_dir:          The directory to save the ONNX model.
    :param optimization_level:  Optimization level performed by ONNX Runtime of the loaded graph. (default is 1)
    """
    # We import these in the function scope so ONNX won't be mandatory for the other handlers:
    from optimum.onnxruntime import ORTModelForSequenceClassification, ORTOptimizer
    from optimum.onnxruntime.configuration import OptimizationConfig

    model_dir = _get_model_dir(model_uri=model_path)
    # Creating configuration for optimization step:
    optimization_config = OptimizationConfig(optimization_level=optimization_level)

    # Converting our pretrained model to an ONNX-Runtime model:
    ort_model = ORTModelForSequenceClassification.from_pretrained(
        model_dir, from_transformers=True
    )

    # Creating an ONNX-Runtime optimizer from ONNX model:
    optimizer = ORTOptimizer.from_pretrained(ort_model)

    apply_mlrun(optimizer, model_name=model_name)
    # Optimizing and saving the ONNX model:
    optimizer.optimize(save_dir=target_dir, optimization_config=optimization_config)

+    base_image: mlrun/mlrun
+    commands: []
+    code_origin: ''
+    origin_filename: ''
+    requirements:
+    - onnx~=1.14.1
+    - onnxruntime~=1.16.1
+    - optimum~=1.6.4
+    - transformers~=4.26.1
+    - datasets~=2.10.1
+    - scikit-learn~=1.0.2
+  entry_points:
+    add_interface:
+      name: add_interface
+      doc: 'Enrich the object with this interface properties, methods and functions,
+        so it will have this TensorFlow.Keras
+
+        MLRuns features.'
+      parameters:
+      - name: cls
+      - name: obj
+        type: Trainer
+        doc: The object to enrich his interface.
+      - name: restoration
+        type: MLRunInterfaceRestorationType
+        doc: Restoration information tuple as returned from 'remove_interface' in
+          order to add the interface in a certain state.
+        default: null
+      outputs: []
+      lineno: 146
+      has_varargs: false
+      has_kwargs: false
+    mlrun_optimize:
+      name: mlrun_optimize
+      doc: 'MLRun''s tf.keras.Model.fit wrapper. It will setup the optimizer when
+        using horovod. The optimizer must be
+
+        passed in a keyword argument and when using horovod, it must be passed as
+        an Optimizer instance, not a string.
+
+
+        raise MLRunInvalidArgumentError: In case the optimizer provided did not follow
+        the instructions above.'
+      parameters:
+      - name: cls
+      outputs: []
+      lineno: 79
+      has_varargs: false
+      has_kwargs: false
+    wrapper:
+      name: wrapper
+      doc: ''
+      parameters:
+      - name: self
+        type: Trainer
+      outputs: []
+      lineno: 173
+      has_varargs: true
+      has_kwargs: true
+    enable_auto_logging:
+      name: enable_auto_logging
+      doc: ''
+      parameters:
+      - name: self
+      - name: context
+        type: MLClientCtx
+      - name: model_name
+        type: str
+        default: model
+      - name: tag
+        type: str
+        default: ''
+      - name: labels
+        type: Dict[str, str]
+        default: null
+      - name: extra_data
+        type: dict
+        default: null
+      outputs: []
+      lineno: 114
+      has_varargs: false
+      has_kwargs: false
+    mlrun_train:
+      name: mlrun_train
+      doc: 'MLRuns tf.keras.Model.fit wrapper. It will setup the optimizer when using
+        horovod. The optimizer must be
+
+        passed in a keyword argument and when using horovod, it must be passed as
+        an Optimizer instance, not a string.
+
+
+        raise MLRunInvalidArgumentError: In case the optimizer provided did not follow
+        the instructions above.'
+      parameters:
+      - name: cls
+      outputs: []
+      lineno: 164
+      has_varargs: false
+      has_kwargs: false
+    on_epoch_begin:
+      name: on_epoch_begin
+      doc: ''
+      parameters:
+      - name: self
+      - name: args
+        type: TrainingArguments
+      - name: state
+        type: TrainerState
+      - name: control
+        type: TrainerControl
+      outputs: []
+      lineno: 220
+      has_varargs: false
+      has_kwargs: true
+    on_epoch_end:
+      name: on_epoch_end
+      doc: ''
+      parameters:
+      - name: self
+      - name: args
+        type: TrainingArguments
+      - name: state
+        type: TrainerState
+      - name: control
+        type: TrainerControl
+      outputs: []
+      lineno: 229
+      has_varargs: false
+      has_kwargs: true
+    on_log:
+      name: on_log
+      doc: ''
+      parameters:
+      - name: self
+      - name: args
+        type: TrainingArguments
+      - name: state
+        type: TrainerState
+      - name: control
+        type: TrainerControl
+      - name: logs
+        type: Dict[str, float]
+        default: null
+      outputs: []
+      lineno: 238
+      has_varargs: false
+      has_kwargs: true
+    on_train_begin:
+      name: on_train_begin
+      doc: ''
+      parameters:
+      - name: self
+      - name: args
+        type: TrainingArguments
+      - name: state
+        type: TrainerState
+      - name: control
+        type: TrainerControl
+      outputs: []
+      lineno: 262
+      has_varargs: false
+      has_kwargs: true
+    on_train_end:
+      name: on_train_end
+      doc: ''
+      parameters:
+      - name: self
+      - name: args
+        type: TrainingArguments
+      - name: state
+        type: TrainerState
+      - name: control
+        type: TrainerControl
+      - name: model
+        type: PreTrainedModel
+        default: null
+      - name: tokenizer
+        type: PreTrainedTokenizer
+        default: null
+      outputs: []
+      lineno: 271
+      has_varargs: false
+      has_kwargs: true
+    on_evaluate:
+      name: on_evaluate
+      doc: ''
+      parameters:
+      - name: self
+      - name: args
+        type: TrainingArguments
+      - name: state
+        type: TrainerState
+      - name: control
+        type: TrainerControl
+      outputs: []
+      lineno: 322
+      has_varargs: false
+      has_kwargs: true
+    apply_mlrun:
+      name: apply_mlrun
+      doc: Wrap the given model with MLRun's interface providing it with mlrun's additional
+        features.
+      parameters:
+      - name: huggingface_object
+        doc: The model to wrap. Can be loaded from the model path given as well.
+      - name: model_name
+        type: str
+        doc: 'The model name to use for storing the model artifact. Default: "model".'
+        default: null
+      - name: tag
+        type: str
+        doc: The model's tag to log with.
+        default: ''
+      - name: context
+        type: MLClientCtx
+        doc: MLRun context to work with. If no context is given it will be retrieved
+          via 'mlrun.get_or_create_ctx(None)'
+        default: null
+      - name: auto_log
+        type: bool
+        doc: 'Whether to enable MLRun''s auto logging. Default: True.'
+        default: true
+      - name: labels
+        type: Dict[str, str]
+        default: null
+      - name: extra_data
+        type: dict
+        default: null
+      outputs: []
+      lineno: 421
+      has_varargs: false
+      has_kwargs: true
+    train:
+      name: train
+      doc: 'Training and evaluating a pretrained model with a pretrained tokenizer
+        over a dataset.
+
+        The dataset can be either be the name of the dataset that contains in the
+        HuggingFace hub,
+
+        or a URI or a FeatureVector'
+      parameters:
+      - name: context
+        type: MLClientCtx
+        doc: MLRun context
+      - name: hf_dataset
+        type: str
+        doc: The name of the dataset to get from the HuggingFace hub
+        default: null
+      - name: dataset
+        type: DataItem
+        doc: The dataset to train the model on. Can be either a URI or a FeatureVector
+        default: null
+      - name: test_set
+        type: DataItem
+        doc: The test set to train the model with.
+        default: null
+      - name: drop_columns
+        type: Optional[List[str]]
+        doc: The columns to drop from the dataset.
+        default: null
+      - name: pretrained_tokenizer
+        type: str
+        doc: The name of the pretrained tokenizer from the HuggingFace hub.
+        default: null
+      - name: pretrained_model
+        type: str
+        doc: The name of the pretrained model from the HuggingFace hub.
+        default: null
+      - name: model_class
+        type: str
+        doc: The class of the model, e.g. `transformers.AutoModelForSequenceClassification`
+        default: null
+      - name: model_name
+        type: str
+        doc: The model's name to use for storing the model artifact, default to 'model'
+        default: huggingface-model
+      - name: label_name
+        type: str
+        doc: The target label of the column in the dataset.
+        default: labels
+      - name: text_col
+        type: str
+        doc: The input text column un the dataset.
+        default: text
+      - name: num_of_train_samples
+        type: int
+        doc: Max number of training samples, for debugging.
+        default: null
+      - name: train_test_split_size
+        type: float
+        doc: Should be between 0.0 and 1.0 and represent the proportion of the dataset
+          to include in the test split.
+        default: null
+      - name: metrics
+        type: List[str]
+        doc: List of different metrics for evaluate the model such as f1, accuracy
+          etc.
+        default: null
+      - name: random_state
+        type: int
+        doc: Random state for train_test_split
+        default: null
+      outputs: []
+      lineno: 647
+      has_varargs: false
+      has_kwargs: false
+    preprocess_function:
+      name: preprocess_function
+      doc: ''
+      parameters:
+      - name: examples
+      outputs: []
+      lineno: 696
+      has_varargs: false
+      has_kwargs: false
+    optimize:
+      name: optimize
+      doc: Optimizing the transformer model using ONNX optimization.
+      parameters:
+      - name: model_path
+        type: str
+        doc: The path of the model to optimize.
+      - name: model_name
+        type: str
+        doc: Name of the optimized model.
+        default: optimized_model
+      - name: target_dir
+        type: str
+        doc: The directory to save the ONNX model.
+        default: ./optimized
+      - name: optimization_level
+        type: int
+        doc: Optimization level performed by ONNX Runtime of the loaded graph. (default
+          is 1)
+        default: 1
+      outputs: []
+      lineno: 799
+      has_varargs: false
+      has_kwargs: false
+  description: Automatic train and optimize functions for HuggingFace framework
+  default_handler: train
+  disable_auto_mount: false
+  clone_target_dir: ''
+  env: []
+  priority_class_name: ''
+  preemption_mode: prevent
+  affinity: null
+  tolerations: null
+  security_context: {}
+verbose: false
diff --git a/functions/master/hugging_face_classifier_trainer/0.3.0/src/hugging_face_classifier_trainer.ipynb b/functions/master/hugging_face_classifier_trainer/0.3.0/src/hugging_face_classifier_trainer.ipynb
new file mode 100644
index 00000000..2768d2dc
--- /dev/null
+++ b/functions/master/hugging_face_classifier_trainer/0.3.0/src/hugging_face_classifier_trainer.ipynb
@@ -0,0 +1,2533 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": [
+    "<a id=\"top\"></a>\n",
+    "# MLRun Hugging Face Classifier Trainer Tutorial"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": [
+    "This notebook shows how to use the handlers of the Hugging Face classifier trainer.\n",
+    "the following handlers are:\n",
+    "- `train`\n",
+    "- `optimize`\n",
+    "\n",
+    "All you need is simply **HF model type** and a **HF dataset name**."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Requirement already satisfied: onnx~=1.14.1 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from -r requirements.txt (line 1)) (1.14.1)\n",
+      "Requirement already satisfied: onnxruntime==1.16.1 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from -r requirements.txt (line 2)) (1.16.1)\n",
+      "Requirement already satisfied: optimum~=1.6.4 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from -r requirements.txt (line 3)) (1.6.4)\n",
+      "Requirement already satisfied: transformers~=4.26.1 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from -r requirements.txt (line 4)) (4.26.1)\n",
+      "Requirement already satisfied: datasets~=2.10.1 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from -r requirements.txt (line 5)) (2.10.1)\n",
+      "Requirement already satisfied: scikit-learn~=1.0.2 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from -r requirements.txt (line 6)) (1.0.2)\n",
+      "Requirement already satisfied: coloredlogs in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from onnxruntime==1.16.1->-r requirements.txt (line 2)) (15.0.1)\n",
+      "Requirement already satisfied: flatbuffers in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from onnxruntime==1.16.1->-r requirements.txt (line 2)) (1.12)\n",
+      "Requirement already satisfied: numpy>=1.21.6 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from onnxruntime==1.16.1->-r requirements.txt (line 2)) (1.23.5)\n",
+      "Requirement already satisfied: packaging in /conda/envs/mlrun-base/lib/python3.9/site-packages (from onnxruntime==1.16.1->-r requirements.txt (line 2)) (21.3)\n",
+      "Requirement already satisfied: protobuf in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from onnxruntime==1.16.1->-r requirements.txt (line 2)) (3.20.2)\n",
+      "Requirement already satisfied: sympy in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from onnxruntime==1.16.1->-r requirements.txt (line 2)) (1.12)\n",
+      "Requirement already satisfied: typing-extensions>=3.6.2.1 in /conda/envs/mlrun-base/lib/python3.9/site-packages (from onnx~=1.14.1->-r requirements.txt (line 1)) (4.7.1)\n",
+      "Requirement already satisfied: torch>=1.9 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from optimum~=1.6.4->-r requirements.txt (line 3)) (2.1.2)\n",
+      "Requirement already satisfied: huggingface-hub>=0.8.0 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from optimum~=1.6.4->-r requirements.txt (line 3)) (0.20.1)\n",
+      "Requirement already satisfied: filelock in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from transformers~=4.26.1->-r requirements.txt (line 4)) (3.13.1)\n",
+      "Requirement already satisfied: pyyaml>=5.1 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from transformers~=4.26.1->-r requirements.txt (line 4)) (5.4.1)\n",
+      "Requirement already satisfied: regex!=2019.12.17 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from transformers~=4.26.1->-r requirements.txt (line 4)) (2023.12.25)\n",
+      "Requirement already satisfied: requests in /conda/envs/mlrun-base/lib/python3.9/site-packages (from transformers~=4.26.1->-r requirements.txt (line 4)) (2.31.0)\n",
+      "Requirement already satisfied: tokenizers!=0.11.3,<0.14,>=0.11.1 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from transformers~=4.26.1->-r requirements.txt (line 4)) (0.13.3)\n",
+      "Requirement already satisfied: tqdm>=4.27 in /conda/envs/mlrun-base/lib/python3.9/site-packages (from transformers~=4.26.1->-r requirements.txt (line 4)) (4.65.0)\n",
+      "Requirement already satisfied: pyarrow>=6.0.0 in /conda/envs/mlrun-base/lib/python3.9/site-packages (from datasets~=2.10.1->-r requirements.txt (line 5)) (11.0.0)\n",
+      "Requirement already satisfied: dill<0.3.7,>=0.3.0 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from datasets~=2.10.1->-r requirements.txt (line 5)) (0.3.6)\n",
+      "Requirement already satisfied: pandas in /conda/envs/mlrun-base/lib/python3.9/site-packages (from datasets~=2.10.1->-r requirements.txt (line 5)) (1.4.4)\n",
+      "Requirement already satisfied: xxhash in /conda/envs/mlrun-base/lib/python3.9/site-packages (from datasets~=2.10.1->-r requirements.txt (line 5)) (3.3.0)\n",
+      "Requirement already satisfied: multiprocess in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from datasets~=2.10.1->-r requirements.txt (line 5)) (0.70.14)\n",
+      "Requirement already satisfied: fsspec>=2021.11.1 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from fsspec[http]>=2021.11.1->datasets~=2.10.1->-r requirements.txt (line 5)) (2023.9.2)\n",
+      "Requirement already satisfied: aiohttp in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from datasets~=2.10.1->-r requirements.txt (line 5)) (3.9.1)\n",
+      "Requirement already satisfied: responses<0.19 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from datasets~=2.10.1->-r requirements.txt (line 5)) (0.18.0)\n",
+      "Requirement already satisfied: scipy>=1.1.0 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from scikit-learn~=1.0.2->-r requirements.txt (line 6)) (1.11.4)\n",
+      "Requirement already satisfied: joblib>=0.11 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from scikit-learn~=1.0.2->-r requirements.txt (line 6)) (1.3.2)\n",
+      "Requirement already satisfied: threadpoolctl>=2.0.0 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from scikit-learn~=1.0.2->-r requirements.txt (line 6)) (3.2.0)\n",
+      "Requirement already satisfied: attrs>=17.3.0 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from aiohttp->datasets~=2.10.1->-r requirements.txt (line 5)) (19.1.0)\n",
+      "Requirement already satisfied: multidict<7.0,>=4.5 in /conda/envs/mlrun-base/lib/python3.9/site-packages (from aiohttp->datasets~=2.10.1->-r requirements.txt (line 5)) (6.0.4)\n",
+      "Requirement already satisfied: yarl<2.0,>=1.0 in /conda/envs/mlrun-base/lib/python3.9/site-packages (from aiohttp->datasets~=2.10.1->-r requirements.txt (line 5)) (1.9.2)\n",
+      "Requirement already satisfied: frozenlist>=1.1.1 in /conda/envs/mlrun-base/lib/python3.9/site-packages (from aiohttp->datasets~=2.10.1->-r requirements.txt (line 5)) (1.4.0)\n",
+      "Requirement already satisfied: aiosignal>=1.1.2 in /conda/envs/mlrun-base/lib/python3.9/site-packages (from aiohttp->datasets~=2.10.1->-r requirements.txt (line 5)) (1.3.1)\n",
+      "Requirement already satisfied: async-timeout<5.0,>=4.0 in /conda/envs/mlrun-base/lib/python3.9/site-packages (from aiohttp->datasets~=2.10.1->-r requirements.txt (line 5)) (4.0.3)\n",
+      "Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /conda/envs/mlrun-base/lib/python3.9/site-packages (from packaging->onnxruntime==1.16.1->-r requirements.txt (line 2)) (3.1.1)\n",
+      "Requirement already satisfied: charset-normalizer<4,>=2 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from requests->transformers~=4.26.1->-r requirements.txt (line 4)) (2.1.1)\n",
+      "Requirement already satisfied: idna<4,>=2.5 in /conda/envs/mlrun-base/lib/python3.9/site-packages (from requests->transformers~=4.26.1->-r requirements.txt (line 4)) (3.4)\n",
+      "Requirement already satisfied: urllib3<3,>=1.21.1 in /conda/envs/mlrun-base/lib/python3.9/site-packages (from requests->transformers~=4.26.1->-r requirements.txt (line 4)) (1.26.16)\n",
+      "Requirement already satisfied: certifi>=2017.4.17 in /conda/envs/mlrun-base/lib/python3.9/site-packages (from requests->transformers~=4.26.1->-r requirements.txt (line 4)) (2023.7.22)\n",
+      "Requirement already satisfied: networkx in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from torch>=1.9->optimum~=1.6.4->-r requirements.txt (line 3)) (3.2.1)\n",
+      "Requirement already satisfied: jinja2 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from torch>=1.9->optimum~=1.6.4->-r requirements.txt (line 3)) (3.1.3)\n",
+      "Requirement already satisfied: nvidia-cuda-nvrtc-cu12==12.1.105 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from torch>=1.9->optimum~=1.6.4->-r requirements.txt (line 3)) (12.1.105)\n",
+      "Requirement already satisfied: nvidia-cuda-runtime-cu12==12.1.105 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from torch>=1.9->optimum~=1.6.4->-r requirements.txt (line 3)) (12.1.105)\n",
+      "Requirement already satisfied: nvidia-cuda-cupti-cu12==12.1.105 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from torch>=1.9->optimum~=1.6.4->-r requirements.txt (line 3)) (12.1.105)\n",
+      "Requirement already satisfied: nvidia-cudnn-cu12==8.9.2.26 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from torch>=1.9->optimum~=1.6.4->-r requirements.txt (line 3)) (8.9.2.26)\n",
+      "Requirement already satisfied: nvidia-cublas-cu12==12.1.3.1 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from torch>=1.9->optimum~=1.6.4->-r requirements.txt (line 3)) (12.1.3.1)\n",
+      "Requirement already satisfied: nvidia-cufft-cu12==11.0.2.54 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from torch>=1.9->optimum~=1.6.4->-r requirements.txt (line 3)) (11.0.2.54)\n",
+      "Requirement already satisfied: nvidia-curand-cu12==10.3.2.106 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from torch>=1.9->optimum~=1.6.4->-r requirements.txt (line 3)) (10.3.2.106)\n",
+      "Requirement already satisfied: nvidia-cusolver-cu12==11.4.5.107 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from torch>=1.9->optimum~=1.6.4->-r requirements.txt (line 3)) (11.4.5.107)\n",
+      "Requirement already satisfied: nvidia-cusparse-cu12==12.1.0.106 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from torch>=1.9->optimum~=1.6.4->-r requirements.txt (line 3)) (12.1.0.106)\n",
+      "Requirement already satisfied: nvidia-nccl-cu12==2.18.1 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from torch>=1.9->optimum~=1.6.4->-r requirements.txt (line 3)) (2.18.1)\n",
+      "Requirement already satisfied: nvidia-nvtx-cu12==12.1.105 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from torch>=1.9->optimum~=1.6.4->-r requirements.txt (line 3)) (12.1.105)\n",
+      "Requirement already satisfied: triton==2.1.0 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from torch>=1.9->optimum~=1.6.4->-r requirements.txt (line 3)) (2.1.0)\n",
+      "Requirement already satisfied: nvidia-nvjitlink-cu12 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from nvidia-cusolver-cu12==11.4.5.107->torch>=1.9->optimum~=1.6.4->-r requirements.txt (line 3)) (12.3.101)\n",
+      "Requirement already satisfied: sentencepiece!=0.1.92,>=0.1.91 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from transformers[sentencepiece]>=4.26.0->optimum~=1.6.4->-r requirements.txt (line 3)) (0.2.0)\n",
+      "Requirement already satisfied: humanfriendly>=9.1 in /conda/envs/mlrun-base/lib/python3.9/site-packages (from coloredlogs->onnxruntime==1.16.1->-r requirements.txt (line 2)) (9.2)\n",
+      "Requirement already satisfied: python-dateutil>=2.8.1 in /conda/envs/mlrun-base/lib/python3.9/site-packages (from pandas->datasets~=2.10.1->-r requirements.txt (line 5)) (2.8.2)\n",
+      "Requirement already satisfied: pytz>=2020.1 in /conda/envs/mlrun-base/lib/python3.9/site-packages (from pandas->datasets~=2.10.1->-r requirements.txt (line 5)) (2023.3.post1)\n",
+      "Requirement already satisfied: mpmath>=0.19 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from sympy->onnxruntime==1.16.1->-r requirements.txt (line 2)) (1.3.0)\n",
+      "Requirement already satisfied: six>=1.5 in /conda/envs/mlrun-base/lib/python3.9/site-packages (from python-dateutil>=2.8.1->pandas->datasets~=2.10.1->-r requirements.txt (line 5)) (1.16.0)\n",
+      "Requirement already satisfied: MarkupSafe>=2.0 in /conda/envs/mlrun-base/lib/python3.9/site-packages (from jinja2->torch>=1.9->optimum~=1.6.4->-r requirements.txt (line 3)) (2.1.3)\n",
+      "Note: you may need to restart the kernel to use updated packages.\n"
+     ]
+    }
+   ],
+   "source": [
+    "%pip install -r requirements.txt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import mlrun"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "> 2024-03-24 17:10:17,091 [info] Project loaded successfully: {'project_name': 'hugging-face-trainer'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "project = mlrun.get_or_create_project('hugging-face-trainer', context=\"./\", user_project=True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": [
+    "### **Importing the hugging_face_classifier_trainer function from the Marketplace**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "hugging_face_classifier_trainer = mlrun.import_function(\"hub://hugging_face_classifier_trainer\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": [
+    "### **Training a model**\n",
+    "\n",
+    "Choosing the `train` handler"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": [
+    "#### Define task parameters¶\n",
+    "* Class parameters should contain the prefix `CLASS_`\n",
+    "* Train parameters should contain the prefix `TRAIN_`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "model_class = \"transformers.AutoModelForSequenceClassification\"\n",
+    "additional_parameters = {\n",
+    "    \"TRAIN_output_dir\": \"finetuning-sentiment-model-3000-samples\",\n",
+    "    \"TRAIN_learning_rate\": 2e-5,\n",
+    "    \"TRAIN_per_device_train_batch_size\": 16,\n",
+    "    \"TRAIN_per_device_eval_batch_size\": 16,\n",
+    "    \"TRAIN_num_train_epochs\": 3,\n",
+    "    \"TRAIN_weight_decay\": 0.01,\n",
+    "    \"TRAIN_push_to_hub\": False,\n",
+    "    \"TRAIN_evaluation_strategy\": \"epoch\",\n",
+    "    \"TRAIN_eval_steps\": 1,\n",
+    "    \"TRAIN_logging_steps\": 1,\n",
+    "    \"CLASS_num_labels\": 2\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": [
+    "#### Running the Training job with the \"train\" handler"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    },
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "> 2024-03-24 17:10:21,025 [info] Storing function: {'name': 'hugging-face-classifier-trainer-train', 'uid': '514d8d5530c842238b1cc81983cd943e', 'db': 'http://mlrun-api:8080'}\n",
+      "> 2024-03-24 17:11:03,727 [info] 'train_test_split_size' is not provided, setting train_test_split_size to 0.2\n",
+      "> 2024-03-24 17:11:03,882 [info] Loading and editing Shayanvsf/US_Airline_Sentiment dataset from Hugging Face hub\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Found cached dataset parquet (/igz/.cache/huggingface/datasets/Shayanvsf___parquet/Shayanvsf--US_Airline_Sentiment-1319c42f87c44b2f/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec)\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "f43b1388d0b344888323bec590baadee",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "  0%|          | 0/3 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Loading cached shuffled indices for dataset at /igz/.cache/huggingface/datasets/Shayanvsf___parquet/Shayanvsf--US_Airline_Sentiment-1319c42f87c44b2f/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec/cache-ec18d1773cfb9bb5.arrow\n",
+      "Loading cached shuffled indices for dataset at /igz/.cache/huggingface/datasets/Shayanvsf___parquet/Shayanvsf--US_Airline_Sentiment-1319c42f87c44b2f/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec/cache-e0c54c494a578ee6.arrow\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Map:   0%|          | 0/100 [00:00<?, ? examples/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Map:   0%|          | 0/24 [00:00<?, ? examples/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Some weights of the model checkpoint at distilbert-base-uncased were not used when initializing DistilBertForSequenceClassification: ['vocab_transform.weight', 'vocab_transform.bias', 'vocab_projector.weight', 'vocab_projector.bias', 'vocab_layer_norm.bias', 'vocab_layer_norm.weight']\n",
+      "- This IS expected if you are initializing DistilBertForSequenceClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n",
+      "- This IS NOT expected if you are initializing DistilBertForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n",
+      "Some weights of DistilBertForSequenceClassification were not initialized from the model checkpoint at distilbert-base-uncased and are newly initialized: ['pre_classifier.bias', 'classifier.weight', 'pre_classifier.weight', 'classifier.bias']\n",
+      "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "> 2024-03-24 17:11:08,938 [info] training 'huggingface-model'\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "The following columns in the training set don't have a corresponding argument in `DistilBertForSequenceClassification.forward` and have been ignored: text. If text are not expected by `DistilBertForSequenceClassification.forward`,  you can safely ignore this message.\n",
+      "This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning\n",
+      "***** Running training *****\n",
+      "  Num examples = 100\n",
+      "  Num Epochs = 3\n",
+      "  Instantaneous batch size per device = 16\n",
+      "  Total train batch size (w. parallel, distributed & accumulation) = 16\n",
+      "  Gradient Accumulation steps = 1\n",
+      "  Total optimization steps = 21\n",
+      "  Number of trainable parameters = 66955010\n",
+      "You're using a DistilBertTokenizerFast tokenizer. Please note that with a fast tokenizer, using the `__call__` method is faster than using a method to encode the text followed by a call to the `pad` method to get a padded encoding.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "    <div>\n",
+       "      \n",
+       "      <progress value='21' max='21' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      [21/21 00:15, Epoch 3/3]\n",
+       "    </div>\n",
+       "    <table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       " <tr style=\"text-align: left;\">\n",
+       "      <th>Epoch</th>\n",
+       "      <th>Training Loss</th>\n",
+       "      <th>Validation Loss</th>\n",
+       "      <th>Accuracy</th>\n",
+       "      <th>F1</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <td>1</td>\n",
+       "      <td>0.738900</td>\n",
+       "      <td>0.515311</td>\n",
+       "      <td>0.791667</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2</td>\n",
+       "      <td>0.525900</td>\n",
+       "      <td>0.481563</td>\n",
+       "      <td>0.791667</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>3</td>\n",
+       "      <td>0.490800</td>\n",
+       "      <td>0.471675</td>\n",
+       "      <td>0.791667</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table><p>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "The following columns in the evaluation set don't have a corresponding argument in `DistilBertForSequenceClassification.forward` and have been ignored: text. If text are not expected by `DistilBertForSequenceClassification.forward`,  you can safely ignore this message.\n",
+      "***** Running Evaluation *****\n",
+      "  Num examples = 24\n",
+      "  Batch size = 16\n",
+      "/tmp/tmp0c1aawrq.py:561: FutureWarning:\n",
+      "\n",
+      "load_metric is deprecated and will be removed in the next major version of datasets. Use 'evaluate.load' instead, from the new library 🤗 Evaluate: https://huggingface.co/docs/evaluate\n",
+      "\n",
+      "The following columns in the evaluation set don't have a corresponding argument in `DistilBertForSequenceClassification.forward` and have been ignored: text. If text are not expected by `DistilBertForSequenceClassification.forward`,  you can safely ignore this message.\n",
+      "***** Running Evaluation *****\n",
+      "  Num examples = 24\n",
+      "  Batch size = 16\n",
+      "The following columns in the evaluation set don't have a corresponding argument in `DistilBertForSequenceClassification.forward` and have been ignored: text. If text are not expected by `DistilBertForSequenceClassification.forward`,  you can safely ignore this message.\n",
+      "***** Running Evaluation *****\n",
+      "  Num examples = 24\n",
+      "  Batch size = 16\n",
+      "\n",
+      "\n",
+      "Training completed. Do not forget to share your model on huggingface.co/models =)\n",
+      "\n",
+      "\n",
+      "tokenizer config file saved in /tmp/tokenizer/tokenizer_config.json\n",
+      "Special tokens file saved in /tmp/tokenizer/special_tokens_map.json\n",
+      "Configuration saved in /tmp/model/config.json\n",
+      "Model weights saved in /tmp/model/pytorch_model.bin\n"
+     ]
+    },
+    {
+     "data": {
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+       "\n",
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+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>project</th>\n",
+       "      <th>uid</th>\n",
+       "      <th>iter</th>\n",
+       "      <th>start</th>\n",
+       "      <th>state</th>\n",
+       "      <th>name</th>\n",
+       "      <th>labels</th>\n",
+       "      <th>inputs</th>\n",
+       "      <th>parameters</th>\n",
+       "      <th>results</th>\n",
+       "      <th>artifacts</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <td>hugging-face-trainer-avia</td>\n",
+       "      <td><div title=\"514d8d5530c842238b1cc81983cd943e\"><a href=\"https://dashboard.default-tenant.app.app-lab-2-b688.iguazio-cd2.com/mlprojects/hugging-face-trainer-avia/jobs/monitor/514d8d5530c842238b1cc81983cd943e/overview\" target=\"_blank\" >...83cd943e</a></div></td>\n",
+       "      <td>0</td>\n",
+       "      <td>Mar 24 17:10:21</td>\n",
+       "      <td>completed</td>\n",
+       "      <td>hugging-face-classifier-trainer-train</td>\n",
+       "      <td><div class=\"dictlist\">v3io_user=avia</div><div class=\"dictlist\">kind=local</div><div class=\"dictlist\">owner=avia</div><div class=\"dictlist\">host=jupyter-avia-6454bdd4c5-xz8cg</div></td>\n",
+       "      <td></td>\n",
+       "      <td><div class=\"dictlist\">hf_dataset=Shayanvsf/US_Airline_Sentiment</div><div class=\"dictlist\">drop_columns=['airline_sentiment_confidence', 'negativereason_confidence']</div><div class=\"dictlist\">pretrained_tokenizer=distilbert-base-uncased</div><div class=\"dictlist\">pretrained_model=distilbert-base-uncased</div><div class=\"dictlist\">model_class=transformers.AutoModelForSequenceClassification</div><div class=\"dictlist\">label_name=airline_sentiment</div><div class=\"dictlist\">num_of_train_samples=100</div><div class=\"dictlist\">metrics=['accuracy', 'f1']</div><div class=\"dictlist\">random_state=42</div><div class=\"dictlist\">TRAIN_output_dir=finetuning-sentiment-model-3000-samples</div><div class=\"dictlist\">TRAIN_learning_rate=2e-05</div><div class=\"dictlist\">TRAIN_per_device_train_batch_size=16</div><div class=\"dictlist\">TRAIN_per_device_eval_batch_size=16</div><div class=\"dictlist\">TRAIN_num_train_epochs=3</div><div class=\"dictlist\">TRAIN_weight_decay=0.01</div><div class=\"dictlist\">TRAIN_push_to_hub=False</div><div class=\"dictlist\">TRAIN_evaluation_strategy=epoch</div><div class=\"dictlist\">TRAIN_eval_steps=1</div><div class=\"dictlist\">TRAIN_logging_steps=1</div><div class=\"dictlist\">CLASS_num_labels=2</div></td>\n",
+       "      <td><div class=\"dictlist\">loss=0.4908</div><div class=\"dictlist\">learning_rate=0.0</div><div class=\"dictlist\">eval_loss=0.47167453169822693</div><div class=\"dictlist\">eval_accuracy=0.7916666666666666</div><div class=\"dictlist\">eval_f1=0.0</div><div class=\"dictlist\">eval_runtime=0.5186</div><div class=\"dictlist\">eval_samples_per_second=46.276</div><div class=\"dictlist\">eval_steps_per_second=3.856</div><div class=\"dictlist\">train_runtime=17.6054</div><div class=\"dictlist\">train_samples_per_second=17.04</div><div class=\"dictlist\">train_steps_per_second=1.193</div><div class=\"dictlist\">total_flos=3327208489680.0</div></td>\n",
+       "      <td><div class=\"artifact\" onclick=\"expandPanel(this)\" paneName=\"result570a92e7\" title=\"files/v3io/projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/loss_plot.html\">loss_plot</div><div class=\"artifact\" onclick=\"expandPanel(this)\" paneName=\"result570a92e7\" title=\"files/v3io/projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/learning_rate_plot.html\">learning_rate_plot</div><div class=\"artifact\" onclick=\"expandPanel(this)\" paneName=\"result570a92e7\" title=\"files/v3io/projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/eval_loss_plot.html\">eval_loss_plot</div><div class=\"artifact\" onclick=\"expandPanel(this)\" paneName=\"result570a92e7\" title=\"files/v3io/projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/eval_accuracy_plot.html\">eval_accuracy_plot</div><div class=\"artifact\" onclick=\"expandPanel(this)\" paneName=\"result570a92e7\" title=\"files/v3io/projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/eval_f1_plot.html\">eval_f1_plot</div><div class=\"artifact\" onclick=\"expandPanel(this)\" paneName=\"result570a92e7\" title=\"files/v3io/projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/eval_runtime_plot.html\">eval_runtime_plot</div><div class=\"artifact\" onclick=\"expandPanel(this)\" paneName=\"result570a92e7\" title=\"files/v3io/projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/eval_samples_per_second_plot.html\">eval_samples_per_second_plot</div><div class=\"artifact\" onclick=\"expandPanel(this)\" paneName=\"result570a92e7\" title=\"files/v3io/projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/eval_steps_per_second_plot.html\">eval_steps_per_second_plot</div><div title=\"v3io:///projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/tokenizer.zip\">tokenizer</div><div title=\"v3io:///projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/model/\">model</div></td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div></div>\n",
+       "  <div id=\"result570a92e7-pane\" class=\"right-pane block hidden\">\n",
+       "    <div class=\"pane-header\">\n",
+       "      <span id=\"result570a92e7-title\" class=\"pane-header-title\">Title</span>\n",
+       "      <span onclick=\"closePanel(this)\" paneName=\"result570a92e7\" class=\"close clickable\">&times;</span>\n",
+       "    </div>\n",
+       "    <iframe class=\"fileview\" id=\"result570a92e7-body\"></iframe>\n",
+       "  </div>\n",
+       "</div>\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<b> > to track results use the .show() or .logs() methods  or <a href=\"https://dashboard.default-tenant.app.app-lab-2-b688.iguazio-cd2.com/mlprojects/hugging-face-trainer-avia/jobs/monitor/514d8d5530c842238b1cc81983cd943e/overview\" target=\"_blank\">click here</a> to open in UI</b>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "> 2024-03-24 17:12:01,880 [info] Run execution finished: {'status': 'completed', 'name': 'hugging-face-classifier-trainer-train'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "train_run = hugging_face_classifier_trainer.run(params={\n",
+    "                                                        \"hf_dataset\": \"Shayanvsf/US_Airline_Sentiment\",\n",
+    "                                                        \"drop_columns\": [\n",
+    "                                                            \"airline_sentiment_confidence\",\n",
+    "                                                            \"negativereason_confidence\",\n",
+    "                                                        ],\n",
+    "                                                        \"pretrained_tokenizer\": \"distilbert-base-uncased\",\n",
+    "                                                        \"pretrained_model\": \"distilbert-base-uncased\",\n",
+    "                                                        \"model_class\": \"transformers.AutoModelForSequenceClassification\",\n",
+    "                                                        \"label_name\": \"airline_sentiment\",\n",
+    "                                                        \"num_of_train_samples\": 100,\n",
+    "                                                        \"metrics\": [\"accuracy\", \"f1\"],\n",
+    "                                                        \"random_state\": 42,\n",
+    "                                                        **additional_parameters\n",
+    "                                                    },\n",
+    "                                                    handler=\"train\",\n",
+    "                                                    local=True,\n",
+    "                                                )"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": [
+    "#### The result of the train run"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'loss': 0.4908,\n",
+       " 'learning_rate': 0.0,\n",
+       " 'eval_loss': 0.47167453169822693,\n",
+       " 'eval_accuracy': 0.7916666666666666,\n",
+       " 'eval_f1': 0.0,\n",
+       " 'eval_runtime': 0.5186,\n",
+       " 'eval_samples_per_second': 46.276,\n",
+       " 'eval_steps_per_second': 3.856,\n",
+       " 'train_runtime': 17.6054,\n",
+       " 'train_samples_per_second': 17.04,\n",
+       " 'train_steps_per_second': 1.193,\n",
+       " 'total_flos': 3327208489680.0,\n",
+       " 'loss_plot': 'v3io:///projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/loss_plot.html',\n",
+       " 'learning_rate_plot': 'v3io:///projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/learning_rate_plot.html',\n",
+       " 'eval_loss_plot': 'v3io:///projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/eval_loss_plot.html',\n",
+       " 'eval_accuracy_plot': 'v3io:///projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/eval_accuracy_plot.html',\n",
+       " 'eval_f1_plot': 'v3io:///projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/eval_f1_plot.html',\n",
+       " 'eval_runtime_plot': 'v3io:///projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/eval_runtime_plot.html',\n",
+       " 'eval_samples_per_second_plot': 'v3io:///projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/eval_samples_per_second_plot.html',\n",
+       " 'eval_steps_per_second_plot': 'v3io:///projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/eval_steps_per_second_plot.html',\n",
+       " 'tokenizer': 'store://artifacts/hugging-face-trainer-avia/hugging-face-classifier-trainer-train_tokenizer@514d8d5530c842238b1cc81983cd943e',\n",
+       " 'model': 'store://artifacts/hugging-face-trainer-avia/huggingface-model@514d8d5530c842238b1cc81983cd943e'}"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "train_run.outputs"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<html>\n",
+       "<head><meta charset=\"utf-8\" /></head>\n",
+       "<body>\n",
+       "    <div>                        <script type=\"text/javascript\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>\n",
+       "        <script type=\"text/javascript\">/**\n",
+       "* plotly.js v2.16.1\n",
+       "* Copyright 2012-2022, Plotly, Inc.\n",
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+       "/*!\n",
+       " * The buffer module from node.js, for the browser.\n",
+       " *\n",
+       " * @author   Feross Aboukhadijeh <feross@feross.org> <http://feross.org>\n",
+       " * @license  MIT\n",
+       " */function i(t,e){if(t===e)return 0;for(var r=t.length,n=e.length,i=0,a=Math.min(r,n);i<a;++i)if(t[i]!==e[i]){r=t[i],n=e[i];break}return r<n?-1:n<r?1:0}function a(t){return r.Buffer&&\"function\"==typeof r.Buffer.isBuffer?r.Buffer.isBuffer(t):!(null==t||!t._isBuffer)}var o=t(\"util/\"),s=Object.prototype.hasOwnProperty,l=Array.prototype.slice,c=\"foo\"===function(){}.name;function u(t){return Object.prototype.toString.call(t)}function f(t){return!a(t)&&(\"function\"==typeof r.ArrayBuffer&&(\"function\"==typeof ArrayBuffer.isView?ArrayBuffer.isView(t):!!t&&(t instanceof DataView||!!(t.buffer&&t.buffer instanceof ArrayBuffer))))}var h=e.exports=y,p=/\\s*function\\s+([^\\(\\s]*)\\s*/;function d(t){if(o.isFunction(t)){if(c)return t.name;var e=t.toString().match(p);return e&&e[1]}}function m(t,e){return\"string\"==typeof t?t.length<e?t:t.slice(0,e):t}function g(t){if(c||!o.isFunction(t))return o.inspect(t);var e=d(t);return\"[Function\"+(e?\": \"+e:\"\")+\"]\"}function 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+       "/*!\n",
+       " * The buffer module from node.js, for the browser.\n",
+       " *\n",
+       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
+       " * @license  MIT\n",
+       " */\n",
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t[0]=s*(h*v-p*g)-f*(l*v-c*g)+m*(l*p-c*h),t[1]=-(n*(h*v-p*g)-f*(i*v-a*g)+m*(i*p-a*h)),t[2]=n*(l*v-c*g)-s*(i*v-a*g)+m*(i*c-a*l),t[3]=-(n*(l*p-c*h)-s*(i*p-a*h)+f*(i*c-a*l)),t[4]=-(o*(h*v-p*g)-u*(l*v-c*g)+d*(l*p-c*h)),t[5]=r*(h*v-p*g)-u*(i*v-a*g)+d*(i*p-a*h),t[6]=-(r*(l*v-c*g)-o*(i*v-a*g)+d*(i*c-a*l)),t[7]=r*(l*p-c*h)-o*(i*p-a*h)+u*(i*c-a*l),t[8]=o*(f*v-p*m)-u*(s*v-c*m)+d*(s*p-c*f),t[9]=-(r*(f*v-p*m)-u*(n*v-a*m)+d*(n*p-a*f)),t[10]=r*(s*v-c*m)-o*(n*v-a*m)+d*(n*c-a*s),t[11]=-(r*(s*p-c*f)-o*(n*p-a*f)+u*(n*c-a*s)),t[12]=-(o*(f*g-h*m)-u*(s*g-l*m)+d*(s*h-l*f)),t[13]=r*(f*g-h*m)-u*(n*g-i*m)+d*(n*h-i*f),t[14]=-(r*(s*g-l*m)-o*(n*g-i*m)+d*(n*l-i*s)),t[15]=r*(s*h-l*f)-o*(n*h-i*f)+u*(n*l-i*s),t}},{}],196:[function(t,e,r){e.exports=function(t){var e=new Float32Array(16);return 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t[0]=1-(p+m),t[1]=f+y,t[2]=h-v,t[3]=0,t[4]=f-y,t[5]=1-(u+m),t[6]=d+g,t[7]=0,t[8]=h+v,t[9]=d-g,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],203:[function(t,e,r){e.exports=function(t,e){return t[0]=e[0],t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=e[1],t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=e[2],t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],204:[function(t,e,r){e.exports=function(t,e){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=e[0],t[13]=e[1],t[14]=e[2],t[15]=1,t}},{}],205:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=n,t[6]=r,t[7]=0,t[8]=0,t[9]=-r,t[10]=n,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],206:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return 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n(t);f=m-_,h=g-w,p=v-T,d=1/Math.sqrt(f*f+h*h+p*p),a=x*(p*=d)-b*(h*=d),o=b*(f*=d)-y*p,s=y*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0);l=h*s-p*o,c=p*a-f*s,u=f*o-h*a,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=c,t[6]=h,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(a*m+o*g+s*v),t[13]=-(l*m+c*g+u*v),t[14]=-(f*m+h*g+p*v),t[15]=1,t}},{\"./identity\":209}],213:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],m=e[12],g=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*m,t[1]=x*i+b*l+_*h+w*g,t[2]=x*a+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*m,t[5]=x*i+b*l+_*h+w*g,t[6]=x*a+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*m,t[9]=x*i+b*l+_*h+w*g,t[10]=x*a+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*m,t[13]=x*i+b*l+_*h+w*g,t[14]=x*a+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],214:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t}},{}],215:[function(t,e,r){e.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},{}],216:[function(t,e,r){e.exports=function(t,e,r,n){var i=Math.tan(e.upDegrees*Math.PI/180),a=Math.tan(e.downDegrees*Math.PI/180),o=Math.tan(e.leftDegrees*Math.PI/180),s=Math.tan(e.rightDegrees*Math.PI/180),l=2/(o+s),c=2/(i+a);return t[0]=l,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=c,t[6]=0,t[7]=0,t[8]=-(o-s)*l*.5,t[9]=(i-a)*c*.5,t[10]=n/(r-n),t[11]=-1,t[12]=0,t[13]=0,t[14]=n*r/(r-n),t[15]=0,t}},{}],217:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S,E=n[0],L=n[1],C=n[2],P=Math.sqrt(E*E+L*L+C*C);if(Math.abs(P)<1e-6)return null;E*=P=1/P,L*=P,C*=P,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],f=e[4],h=e[5],p=e[6],d=e[7],m=e[8],g=e[9],v=e[10],y=e[11],x=E*E*o+a,b=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,T=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,M=L*C*o-E*i,S=C*C*o+a,t[0]=s*x+f*b+m*_,t[1]=l*x+h*b+g*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+f*T+m*k,t[5]=l*w+h*T+g*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*A+f*M+m*S,t[9]=l*A+h*M+g*S,t[10]=c*A+p*M+v*S,t[11]=u*A+d*M+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],218:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},{}],219:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},{}],220:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],f=e[6],h=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},{}],221:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],222:[function(t,e,r){e.exports=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\", \"+t[9]+\", \"+t[10]+\", \"+t[11]+\", \"+t[12]+\", \"+t[13]+\", \"+t[14]+\", \"+t[15]+\")\"}},{}],223:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o,s,l,c,u,f,h,p,d,m=r[0],g=r[1],v=r[2];e===t?(t[12]=e[0]*m+e[4]*g+e[8]*v+e[12],t[13]=e[1]*m+e[5]*g+e[9]*v+e[13],t[14]=e[2]*m+e[6]*g+e[10]*v+e[14],t[15]=e[3]*m+e[7]*g+e[11]*v+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*m+s*g+f*v+e[12],t[13]=i*m+l*g+h*v+e[13],t[14]=a*m+c*g+p*v+e[14],t[15]=o*m+u*g+d*v+e[15]);return t}},{}],224:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],225:[function(t,e,r){\"use strict\";var n=t(\"css-font\"),i=t(\"pick-by-alias\"),a=t(\"regl\"),o=t(\"gl-util/context\"),s=t(\"es6-weak-map\"),l=t(\"color-normalize\"),c=t(\"font-atlas\"),u=t(\"typedarray-pool\"),f=t(\"parse-rect\"),h=t(\"is-plain-obj\"),p=t(\"parse-unit\"),d=t(\"to-px\"),m=t(\"detect-kerning\"),g=t(\"object-assign\"),v=t(\"font-measure\"),y=t(\"flatten-vertex-data\"),x=t(\"bit-twiddle\").nextPow2,b=new s,_=!1;if(document.body){var w=document.body.appendChild(document.createElement(\"div\"));w.style.font=\"italic small-caps bold condensed 16px/2 cursive\",getComputedStyle(w).fontStretch&&(_=!0),document.body.removeChild(w)}var T=function(t){!function(t){return\"function\"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||a({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(h(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},stencil:{enable:!1},depth:{enable:!1},count:t.prop(\"count\"),offset:t.prop(\"offset\"),attributes:{charOffset:{offset:4,stride:8,buffer:t.this(\"sizeBuffer\")},width:{offset:0,stride:8,buffer:t.this(\"sizeBuffer\")},char:t.this(\"charBuffer\"),position:t.this(\"position\")},uniforms:{atlasSize:function(t,e){return[e.atlas.width,e.atlas.height]},atlasDim:function(t,e){return[e.atlas.cols,e.atlas.rows]},atlas:function(t,e){return e.atlas.texture},charStep:function(t,e){return e.atlas.step},em:function(t,e){return e.atlas.em},color:t.prop(\"color\"),opacity:t.prop(\"opacity\"),viewport:t.this(\"viewportArray\"),scale:t.this(\"scale\"),align:t.prop(\"align\"),baseline:t.prop(\"baseline\"),translate:t.this(\"translate\"),positionOffset:t.prop(\"positionOffset\")},primitive:\"points\",viewport:t.this(\"viewport\"),vert:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tattribute float width, charOffset, char;\\n\\t\\t\\tattribute vec2 position;\\n\\t\\t\\tuniform float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ vec2(positionOffset.x, -positionOffset.y)))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 255.;\\n\\t\\t\\t}\",frag:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tuniform float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform sampler2D atlas;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\n\\t\\t\\tfloat lightness(vec4 color) {\\n\\t\\t\\t\\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\\n\\t\\t\\t}\\n\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\\n\\t\\t\\t\\tfloat halfCharStep = floor(charStep * .5 + .5);\\n\\n\\t\\t\\t\\t// invert y and shift by 1px (FF expecially needs that)\\n\\t\\t\\t\\tuv.y = charStep - uv.y;\\n\\n\\t\\t\\t\\t// ignore points outside of character bounding box\\n\\t\\t\\t\\tfloat halfCharWidth = ceil(charWidth * .5);\\n\\t\\t\\t\\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\\n\\t\\t\\t\\t\\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map((function(t){return parseFloat(t)})):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=f(t.viewport),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&(\"number\"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=y(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,a=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\"px \"+t)}else t=n.parse(n.stringify(t));var i=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&i==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[i],e.font[r]))){var c=t.family.join(\", \"),u=[t.style];t.style!=t.variant&&u.push(t.variant),t.variant!=t.weight&&u.push(t.weight),_&&t.weight!=t.stretch&&u.push(t.stretch),e.font[r]={baseString:i,family:c,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:v(c,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:u.join(\" \")})},T.fonts[i]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),h=0;h<s.length;h++)s[h]=t.text;t.text=s}if(null!=t.text||a){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var i=e.fontAtlas[n],a=0;a<e.text.length;a++){var o=e.text.charAt(a);if(null==i.ids[o]&&(i.ids[o]=i.chars.length,i.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);g(t.kerning,m(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=u.mallocFloat(2*this.count),A=0,M=0;A<this.counts.length;A++){var S=this.counts[A];if(w)for(var E=0;E<S;E++)k[M++]=t.position[2*A],k[M++]=t.position[2*A+1];else for(var L=0;L<S;L++)k[M++]=t.position[A][0],k[M++]=t.position[A][1]}this.position.call?this.position({type:\"float\",data:k}):this.position=this.regl.buffer({type:\"float\",data:k}),u.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var C=u.mallocUint8(this.count),P=u.mallocFloat(2*this.count);this.textWidth=[];for(var I=0,O=0;I<this.counts.length;I++){for(var z=this.counts[I],D=this.font[I]||this.font[0],R=this.fontAtlas[I]||this.fontAtlas[0],F=0;F<z;F++){var B=this.text.charAt(O),N=this.text.charAt(O-1);if(C[O]=R.ids[B],P[2*O]=D.width[B],F){var j=P[2*O-2],U=P[2*O],V=P[2*O-1]+.5*j+.5*U;if(this.kerning){var H=D.kerning[N+B];H&&(V+=.001*H)}P[2*O+1]=V}else P[2*O+1]=.5*P[2*O];O++}this.textWidth.push(P.length?.5*P[2*O-2]+P[2*O-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:C,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:P,type:\"float\",usage:\"stream\"}),u.freeUint8(C),u.freeFloat(P),r.length&&this.font.forEach((function(t,r){var n=e.fontAtlas[r],i=n.step,a=Math.floor(T.maxAtlasSize/i),o=Math.min(a,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*i),u=x(s*i);n.width=l,n.height=u,n.rows=s,n.cols=o,n.em&&n.texture({data:c({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,u],step:[i,i]})})}))}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map((function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if(\"number\"==typeof n)return n;switch(n){case\"right\":case\"end\":return-t;case\"center\":case\"centre\":case\"middle\":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,i=0;return i+=.5*n.bottom,i+=\"number\"==typeof t?t-n.baseline:-n[t],i*=-1}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var q;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;q=u.mallocUint8(G);for(var Y=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)q.set(l(Y(W,W+4),\"uint8\"),W)}else{var Z=t.color.length;q=u.mallocUint8(4*Z);for(var X=0;X<Z;X++)q.set(l(t.color[X]||0,\"uint8\"),4*X)}this.color=q}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var J=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(J);for(var 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this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text=\"\",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new 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r=e.parse(t[1],1,Bt);if(!r)return null;var n=[],i=null;e.expectedType&&\"value\"!==e.expectedType.kind&&(i=e.expectedType);for(var a=1;a<t.length;a+=2){var o=1===a?-1/0:t[a],s=t[a+1],l=a,c=a+1;if(\"number\"!=typeof o)return e.error('Input/output pairs for \"step\" expressions must be defined using literal numeric values (not computed expressions) for the input values.',l);if(n.length&&n[n.length-1][0]>=o)return e.error('Input/output pairs for \"step\" expressions must be arranged with input values in strictly ascending order.',l);var u=e.parse(s,c,i);if(!u)return null;i=i||u.type,n.push([o,u])}return new He(i,r,n)},He.prototype.evaluate=function(t){var e=this.labels,r=this.outputs;if(1===e.length)return r[0].evaluate(t);var n=this.input.evaluate(t);if(n<=e[0])return r[0].evaluate(t);var i=e.length;return n>=e[i-1]?r[i-1].evaluate(t):r[Ve(e,n)].evaluate(t)},He.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1){t(r[e])}},He.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},He.prototype.serialize=function(){for(var t=[\"step\",this.input.serialize()],e=0;e<this.labels.length;e++)e>0&&t.push(this.labels[e]),t.push(this.outputs[e].serialize());return t};var Ge=Object.freeze({__proto__:null,number:qe,color:function(t,e,r){return new te(qe(t.r,e.r,r),qe(t.g,e.g,r),qe(t.b,e.b,r),qe(t.a,e.a,r))},array:function(t,e,r){return t.map((function(t,n){return qe(t,e[n],r)}))}}),Ye=6/29,We=3*Ye*Ye,Ze=Math.PI/180,Xe=180/Math.PI;function Je(t){return t>.008856451679035631?Math.pow(t,1/3):t/We+4/29}function Ke(t){return t>Ye?t*t*t:We*(t-4/29)}function Qe(t){return 255*(t<=.0031308?12.92*t:1.055*Math.pow(t,1/2.4)-.055)}function $e(t){return(t/=255)<=.04045?t/12.92:Math.pow((t+.055)/1.055,2.4)}function tr(t){var e=$e(t.r),r=$e(t.g),n=$e(t.b),i=Je((.4124564*e+.3575761*r+.1804375*n)/.95047),a=Je((.2126729*e+.7151522*r+.072175*n)/1);return{l:116*a-16,a:500*(i-a),b:200*(a-Je((.0193339*e+.119192*r+.9503041*n)/1.08883)),alpha:t.a}}function er(t){var e=(t.l+16)/116,r=isNaN(t.a)?e:e+t.a/500,n=isNaN(t.b)?e:e-t.b/200;return e=1*Ke(e),r=.95047*Ke(r),n=1.08883*Ke(n),new te(Qe(3.2404542*r-1.5371385*e-.4985314*n),Qe(-.969266*r+1.8760108*e+.041556*n),Qe(.0556434*r-.2040259*e+1.0572252*n),t.alpha)}function rr(t,e,r){var n=e-t;return t+r*(n>180||n<-180?n-360*Math.round(n/360):n)}var nr={forward:tr,reverse:er,interpolate:function(t,e,r){return{l:qe(t.l,e.l,r),a:qe(t.a,e.a,r),b:qe(t.b,e.b,r),alpha:qe(t.alpha,e.alpha,r)}}},ir={forward:function(t){var e=tr(t),r=e.l,n=e.a,i=e.b,a=Math.atan2(i,n)*Xe;return{h:a<0?a+360:a,c:Math.sqrt(n*n+i*i),l:r,alpha:t.a}},reverse:function(t){var e=t.h*Ze,r=t.c;return er({l:t.l,a:Math.cos(e)*r,b:Math.sin(e)*r,alpha:t.alpha})},interpolate:function(t,e,r){return{h:rr(t.h,e.h,r),c:qe(t.c,e.c,r),l:qe(t.l,e.l,r),alpha:qe(t.alpha,e.alpha,r)}}},ar=Object.freeze({__proto__:null,lab:nr,hcl:ir}),or=function(t,e,r,n,i){this.type=t,this.operator=e,this.interpolation=r,this.input=n,this.labels=[],this.outputs=[];for(var a=0,o=i;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1];this.labels.push(l),this.outputs.push(c)}};function sr(t,e,r,n){var i=n-r,a=t-r;return 0===i?0:1===e?a/i:(Math.pow(e,a)-1)/(Math.pow(e,i)-1)}or.interpolationFactor=function(t,e,n,i){var a=0;if(\"exponential\"===t.name)a=sr(e,t.base,n,i);else if(\"linear\"===t.name)a=sr(e,1,n,i);else if(\"cubic-bezier\"===t.name){var o=t.controlPoints;a=new r(o[0],o[1],o[2],o[3]).solve(sr(e,1,n,i))}return a},or.parse=function(t,e){var r=t[0],n=t[1],i=t[2],a=t.slice(3);if(!Array.isArray(n)||0===n.length)return e.error(\"Expected an interpolation type expression.\",1);if(\"linear\"===n[0])n={name:\"linear\"};else if(\"exponential\"===n[0]){var o=n[1];if(\"number\"!=typeof o)return e.error(\"Exponential interpolation requires a numeric base.\",1,1);n={name:\"exponential\",base:o}}else{if(\"cubic-bezier\"!==n[0])return e.error(\"Unknown interpolation type \"+String(n[0]),1,0);var s=n.slice(1);if(4!==s.length||s.some((function(t){return\"number\"!=typeof t||t<0||t>1})))return e.error(\"Cubic bezier interpolation requires four numeric arguments with values between 0 and 1.\",1);n={name:\"cubic-bezier\",controlPoints:s}}if(t.length-1<4)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if((t.length-1)%2!=0)return e.error(\"Expected an even number of arguments.\");if(!(i=e.parse(i,2,Bt)))return null;var l=[],c=null;\"interpolate-hcl\"===r||\"interpolate-lab\"===r?c=Ut:e.expectedType&&\"value\"!==e.expectedType.kind&&(c=e.expectedType);for(var u=0;u<a.length;u+=2){var f=a[u],h=a[u+1],p=u+3,d=u+4;if(\"number\"!=typeof f)return e.error('Input/output pairs for 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a=Ve(e,n),o=e[a],s=e[a+1],l=or.interpolationFactor(this.interpolation,n,o,s),c=r[a].evaluate(t),u=r[a+1].evaluate(t);return\"interpolate\"===this.operator?Ge[this.type.kind.toLowerCase()](c,u,l):\"interpolate-hcl\"===this.operator?ir.reverse(ir.interpolate(ir.forward(c),ir.forward(u),l)):nr.reverse(nr.interpolate(nr.forward(c),nr.forward(u),l))},or.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1){t(r[e])}},or.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},or.prototype.serialize=function(){var t;t=\"linear\"===this.interpolation.name?[\"linear\"]:\"exponential\"===this.interpolation.name?1===this.interpolation.base?[\"linear\"]:[\"exponential\",this.interpolation.base]:[\"cubic-bezier\"].concat(this.interpolation.controlPoints);for(var e=[this.operator,t,this.input.serialize()],r=0;r<this.labels.length;r++)e.push(this.labels[r],this.outputs[r].serialize());return e};var lr=function(t,e){this.type=t,this.args=e};lr.parse=function(t,e){if(t.length<2)return e.error(\"Expectected at least one argument.\");var r=null,n=e.expectedType;n&&\"value\"!==n.kind&&(r=n);for(var i=[],a=0,o=t.slice(1);a<o.length;a+=1){var s=o[a],l=e.parse(s,1+i.length,r,void 0,{typeAnnotation:\"omit\"});if(!l)return null;r=r||l.type,i.push(l)}var c=n&&i.some((function(t){return Jt(n,t.type)}));return new lr(c?Ht:r,i)},lr.prototype.evaluate=function(t){for(var e,r=null,n=0,i=0,a=this.args;i<a.length;i+=1){if(n++,(r=a[i].evaluate(t))&&r instanceof ie&&!r.available&&(e||(e=r.name),r=null,n===this.args.length&&(r=e)),null!==r)break}return r},lr.prototype.eachChild=function(t){this.args.forEach(t)},lr.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},lr.prototype.serialize=function(){var t=[\"coalesce\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var cr=function(t,e){this.type=e.type,this.bindings=[].concat(t),this.result=e};cr.prototype.evaluate=function(t){return this.result.evaluate(t)},cr.prototype.eachChild=function(t){for(var e=0,r=this.bindings;e<r.length;e+=1){t(r[e][1])}t(this.result)},cr.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found \"+(t.length-1)+\" instead.\");for(var r=[],n=1;n<t.length-1;n+=2){var i=t[n];if(\"string\"!=typeof i)return e.error(\"Expected string, but found \"+typeof i+\" instead.\",n);if(/[^a-zA-Z0-9_]/.test(i))return e.error(\"Variable names must contain only alphanumeric characters or '_'.\",n);var a=e.parse(t[n+1],n+1);if(!a)return null;r.push([i,a])}var o=e.parse(t[t.length-1],t.length-1,e.expectedType,r);return o?new cr(r,o):null},cr.prototype.outputDefined=function(){return this.result.outputDefined()},cr.prototype.serialize=function(){for(var t=[\"let\"],e=0,r=this.bindings;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t.push(i,a.serialize())}return t.push(this.result.serialize()),t};var ur=function(t,e,r){this.type=t,this.index=e,this.input=r};ur.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Bt),n=e.parse(t[2],2,Wt(e.expectedType||Ht));if(!r||!n)return null;var i=n.type;return new ur(i.itemType,r,n)},ur.prototype.evaluate=function(t){var e=this.index.evaluate(t),r=this.input.evaluate(t);if(e<0)throw new ue(\"Array index out of bounds: \"+e+\" < 0.\");if(e>=r.length)throw new ue(\"Array index out of bounds: \"+e+\" > \"+(r.length-1)+\".\");if(e!==Math.floor(e))throw new ue(\"Array index must be an integer, but found \"+e+\" instead.\");return r[e]},ur.prototype.eachChild=function(t){t(this.index),t(this.input)},ur.prototype.outputDefined=function(){return!1},ur.prototype.serialize=function(){return[\"at\",this.index.serialize(),this.input.serialize()]};var fr=function(t,e){this.type=jt,this.needle=t,this.haystack=e};fr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Ht),n=e.parse(t[2],2,Ht);return r&&n?Kt(r.type,[jt,Nt,Bt,Ft,Ht])?new fr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Zt(r.type)+\" instead\"):null},fr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!Qt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ue(\"Expected first argument to be of type boolean, string, number or null, but found \"+Zt(se(e))+\" instead.\");if(!Qt(r,[\"string\",\"array\"]))throw new ue(\"Expected second argument to be of type array or string, but found \"+Zt(se(r))+\" instead.\");return r.indexOf(e)>=0},fr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},fr.prototype.outputDefined=function(){return!0},fr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var hr=function(t,e,r){this.type=Bt,this.needle=t,this.haystack=e,this.fromIndex=r};hr.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error(\"Expected 3 or 4 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Ht),n=e.parse(t[2],2,Ht);if(!r||!n)return null;if(!Kt(r.type,[jt,Nt,Bt,Ft,Ht]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Zt(r.type)+\" instead\");if(4===t.length){var i=e.parse(t[3],3,Bt);return i?new hr(r,n,i):null}return new hr(r,n)},hr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!Qt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ue(\"Expected first argument to be of type boolean, string, number or null, but found \"+Zt(se(e))+\" instead.\");if(!Qt(r,[\"string\",\"array\"]))throw new ue(\"Expected second argument to be of type array or string, but found \"+Zt(se(r))+\" instead.\");if(this.fromIndex){var n=this.fromIndex.evaluate(t);return r.indexOf(e,n)}return r.indexOf(e)},hr.prototype.eachChild=function(t){t(this.needle),t(this.haystack),this.fromIndex&&t(this.fromIndex)},hr.prototype.outputDefined=function(){return!1},hr.prototype.serialize=function(){if(null!=this.fromIndex&&void 0!==this.fromIndex){var t=this.fromIndex.serialize();return[\"index-of\",this.needle.serialize(),this.haystack.serialize(),t]}return[\"index-of\",this.needle.serialize(),this.haystack.serialize()]};var pr=function(t,e,r,n,i,a){this.inputType=t,this.type=e,this.input=r,this.cases=n,this.outputs=i,this.otherwise=a};pr.parse=function(t,e){if(t.length<5)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=1)return e.error(\"Expected an even number of 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m?\"value\"!==d.type.kind&&e.concat(1).checkSubtype(r,d.type)?null:new pr(r,n,d,i,a,m):null},pr.prototype.evaluate=function(t){var e=this.input.evaluate(t);return(se(e)===this.inputType&&this.outputs[this.cases[e]]||this.otherwise).evaluate(t)},pr.prototype.eachChild=function(t){t(this.input),this.outputs.forEach(t),t(this.otherwise)},pr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))&&this.otherwise.outputDefined()},pr.prototype.serialize=function(){for(var t=this,e=[\"match\",this.input.serialize()],r=[],n={},i=0,a=Object.keys(this.cases).sort();i<a.length;i+=1){var o=a[i];void 0===(f=n[this.cases[o]])?(n[this.cases[o]]=r.length,r.push([this.cases[o],[o]])):r[f][1].push(o)}for(var s=function(e){return\"number\"===t.inputType.kind?Number(e):e},l=0,c=r;l<c.length;l+=1){var u=c[l],f=u[0],h=u[1];1===h.length?e.push(s(h[0])):e.push(h.map(s)),e.push(this.outputs[outputIndex$1].serialize())}return e.push(this.otherwise.serialize()),e};var dr=function(t,e,r){this.type=t,this.branches=e,this.otherwise=r};dr.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=0)return e.error(\"Expected an odd number of arguments.\");var r;e.expectedType&&\"value\"!==e.expectedType.kind&&(r=e.expectedType);for(var n=[],i=1;i<t.length-1;i+=2){var a=e.parse(t[i],i,jt);if(!a)return null;var o=e.parse(t[i+1],i+1,r);if(!o)return null;n.push([a,o]),r=r||o.type}var s=e.parse(t[t.length-1],t.length-1,r);return s?new dr(r,n,s):null},dr.prototype.evaluate=function(t){for(var e=0,r=this.branches;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];if(i.evaluate(t))return a.evaluate(t)}return this.otherwise.evaluate(t)},dr.prototype.eachChild=function(t){for(var e=0,r=this.branches;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t(i),t(a)}t(this.otherwise)},dr.prototype.outputDefined=function(){return this.branches.every((function(t){t[0];return 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or?a.interpolation:void 0;return Ir(new Xr(n?\"camera\":\"composite\",t.value,a.labels,o))}Xr.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},Xr.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)},Xr.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?or.interpolationFactor(this.interpolationType,t,e,r):0};var Kr=function(t,e){this._parameters=t,this._specification=e,It(this,function t(e,r){var n,i,a,o=\"color\"===r.type,s=e.stops&&\"object\"==typeof e.stops[0][0],l=s||void 0!==e.property,c=s||!l,u=e.type||(Rr(r)?\"exponential\":\"interval\");if(o&&((e=It({},e)).stops&&(e.stops=e.stops.map((function(t){return[t[0],te.parse(t[1])]}))),e.default?e.default=te.parse(e.default):e.default=te.parse(r.default)),e.colorSpace&&\"rgb\"!==e.colorSpace&&!ar[e.colorSpace])throw new Error(\"Unknown color space: 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n&&r<n.minimum?[new Ct(e,r,r+\" is less than the minimum value \"+n.minimum)]:\"maximum\"in n&&r>n.maximum?[new Ct(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function en(t){var e,r,n,i=t.valueSpec,a=Ot(t.value.type),o={},s=\"categorical\"!==a&&void 0===t.value.property,l=!s,c=\"array\"===Fr(t.value.stops)&&\"array\"===Fr(t.value.stops[0])&&\"object\"===Fr(t.value.stops[0][0]),u=Qr({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===a)return[new Ct(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;e=e.concat($r({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:f})),\"array\"===Fr(r)&&0===r.length&&e.push(new Ct(t.key,r,\"array must have at least one stop\"));return e},default:function(t){return kn({key:t.key,value:t.value,valueSpec:i,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===a&&s&&u.push(new Ct(t.key,t.value,'missing required property \"property\"')),\"identity\"===a||t.value.stops||u.push(new Ct(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===a&&t.valueSpec.expression&&!Rr(t.valueSpec)&&u.push(new Ct(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!zr(t.valueSpec)?u.push(new Ct(t.key,t.value,\"property functions not supported\")):s&&!Dr(t.valueSpec)&&u.push(new Ct(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==a&&!c||void 0!==t.value.property||u.push(new Ct(t.key,t.value,'\"property\" property is required')),u;function f(t){var e=[],a=t.value,s=t.key;if(\"array\"!==Fr(a))return[new Ct(s,a,\"array expected, \"+Fr(a)+\" found\")];if(2!==a.length)return[new Ct(s,a,\"array length 2 expected, length \"+a.length+\" found\")];if(c){if(\"object\"!==Fr(a[0]))return[new Ct(s,a,\"object expected, \"+Fr(a[0])+\" found\")];if(void 0===a[0].zoom)return[new Ct(s,a,\"object stop key must have zoom\")];if(void 0===a[0].value)return[new Ct(s,a,\"object stop key must have value\")];if(n&&n>Ot(a[0].zoom))return[new Ct(s,a[0].zoom,\"stop zoom values must appear in ascending order\")];Ot(a[0].zoom)!==n&&(n=Ot(a[0].zoom),r=void 0,o={}),e=e.concat(Qr({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:tn,value:h}}))}else e=e.concat(h({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return Yr(zt(a[1]))?e.concat([new Ct(s+\"[1]\",a[1],\"expressions are not allowed in function stops.\")]):e.concat(kn({key:s+\"[1]\",value:a[1],valueSpec:i,style:t.style,styleSpec:t.styleSpec}))}function h(t,n){var s=Fr(t.value),l=Ot(t.value),c=null!==t.value?t.value:n;if(e){if(s!==e)return[new Ct(t.key,c,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new Ct(t.key,c,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==a){var u=\"number expected, \"+s+\" found\";return zr(i)&&void 0===a&&(u+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new Ct(t.key,c,u)]}return\"categorical\"!==a||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==a&&\"number\"===s&&void 0!==r&&l<r?[new Ct(t.key,c,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===a&&l in o?[new Ct(t.key,c,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new Ct(t.key,c,\"integer expected, found \"+l)]}}function rn(t){var e=(\"property\"===t.expressionContext?Jr:Wr)(zt(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map((function(e){return new Ct(\"\"+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if(\"property\"===t.expressionContext&&\"text-font\"===t.propertyKey&&!r.outputDefined())return[new Ct(t.key,t.value,'Invalid data expression for \"'+t.propertyKey+'\". Output values must be contained as literals within the expression.')];if(\"property\"===t.expressionContext&&\"layout\"===t.propertyType&&!Be(r))return[new Ct(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!Be(r))return[new Ct(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!Ne(r,[\"zoom\",\"feature-state\"]))return[new Ct(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!Fe(r))return[new Ct(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function nn(t){var e=t.key,r=t.value,n=t.valueSpec,i=[];return Array.isArray(n.values)?-1===n.values.indexOf(Ot(r))&&i.push(new Ct(e,r,\"expected one of [\"+n.values.join(\", \")+\"], 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on={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function sn(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};an(t)||(t=cn(t));var e=Wr(t,on);if(\"error\"===e.result)throw new Error(e.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:function t(e){if(!Array.isArray(e))return!1;if(\"within\"===e[0])return!0;for(var r=1;r<e.length;r++)if(t(e[r]))return!0;return!1}(t)}}function ln(t,e){return t<e?-1:t>e?1:0}function cn(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?un(t[1],t[2],\"==\"):\"!=\"===r?pn(un(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?un(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(cn))):\"all\"===r?[\"all\"].concat(t.slice(1).map(cn)):\"none\"===r?[\"all\"].concat(t.slice(1).map(cn).map(pn)):\"in\"===r?fn(t[1],t.slice(2)):\"!in\"===r?pn(fn(t[1],t.slice(2))):\"has\"===r?hn(t[1]):\"!has\"===r?pn(hn(t[1])):\"within\"!==r||t}function un(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function fn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(ln)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function hn(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function pn(t){return[\"!\",t]}function dn(t){return an(zt(t.value))?rn(It({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):function t(e){var r=e.value,n=e.key;if(\"array\"!==Fr(r))return[new Ct(n,r,\"array expected, \"+Fr(r)+\" found\")];var i,a=e.styleSpec,o=[];if(r.length<1)return[new Ct(n,r,\"filter array must have at least 1 element\")];switch(o=o.concat(nn({key:n+\"[0]\",value:r[0],valueSpec:a.filter_operator,style:e.style,styleSpec:e.styleSpec})),Ot(r[0])){case\"<\":case\"<=\":case\">\":case\">=\":r.length>=2&&\"$type\"===Ot(r[1])&&o.push(new Ct(n,r,'\"$type\" cannot be use with operator \"'+r[0]+'\"'));case\"==\":case\"!=\":3!==r.length&&o.push(new Ct(n,r,'filter array for operator \"'+r[0]+'\" must have 3 elements'));case\"in\":case\"!in\":r.length>=2&&\"string\"!==(i=Fr(r[1]))&&o.push(new Ct(n+\"[1]\",r[1],\"string expected, \"+i+\" 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r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return kn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var c,u=t.valueSpec||s[o];if(!u)return[new Ct(r,a,'unknown property \"'+o+'\"')];if(\"string\"===Fr(a)&&zr(u)&&!u.tokens&&(c=/^{([^}]+)}$/.exec(a)))return[new Ct(r,a,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(c[1])+\" }`.\")];var f=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&f.push(new Ct(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&Br(zt(a))&&\"identity\"===Ot(a.type)&&f.push(new Ct(r,a,'\"text-font\" does not support identity 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Kr(t,e);if(Yr(t)){var r=Jr(t,e);if(\"error\"===r.result)throw new Error(r.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return r.value}var n=t;return\"string\"==typeof t&&\"color\"===e.type&&(n=te.parse(t)),{kind:\"constant\",evaluate:function(){return n}}}(void 0===e?t.specification.default:e,t.specification)};di.prototype.isDataDriven=function(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind},di.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var mi=function(t){this.property=t,this.value=new di(t,void 0)};mi.prototype.transitioned=function(t,e){return new vi(this.property,this.value,e,u({},t.transition,this.transition),t.now)},mi.prototype.untransitioned=function(){return new vi(this.property,this.value,null,{},0)};var gi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};gi.prototype.getValue=function(t){return x(this._values[t].value.value)},gi.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new mi(this._values[t].property)),this._values[t].value=new di(this._values[t].property,null===e?void 0:x(e))},gi.prototype.getTransition=function(t){return x(this._values[t].transition)},gi.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new mi(this._values[t].property)),this._values[t].transition=x(e)||void 0},gi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i);var a=this.getTransition(n);void 0!==a&&(t[n+\"-transition\"]=a)}return t},gi.prototype.transitioned=function(t,e){for(var r=new yi(this._properties),n=0,i=Object.keys(this._values);n<i.length;n+=1){var a=i[n];r._values[a]=this._values[a].transitioned(t,e._values[a])}return r},gi.prototype.untransitioned=function(){for(var t=new yi(this._properties),e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e];t._values[n]=this._values[n].untransitioned()}return t};var vi=function(t,e,r,n,i){this.property=t,this.value=e,this.begin=i+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};vi.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,i=this.value.possiblyEvaluate(t,e,r),a=this.prior;if(a){if(n>this.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n<this.begin)return a.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var yi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};yi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new _i(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},yi.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1){var r=e[t];if(this._values[r].prior)return!0}return!1};var xi=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};xi.prototype.getValue=function(t){return x(this._values[t].value)},xi.prototype.setValue=function(t,e){this._values[t]=new di(this._values[t].property,null===e?void 0:x(e))},xi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},xi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new _i(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var bi=function(t,e,r){this.property=t,this.value=e,this.parameters=r};bi.prototype.isConstant=function(){return\"constant\"===this.value.kind},bi.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},bi.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var _i=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};_i.prototype.get=function(t){return this._values[t]};var wi=function(t){this.specification=t};wi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},wi.prototype.interpolate=function(t,e,r){var n=Ge[this.specification.type];return n?n(t,e,r):t};var Ti=function(t,e){this.specification=t,this.overrides=e};Ti.prototype.possiblyEvaluate=function(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new bi(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new bi(this,t.expression,e)},Ti.prototype.interpolate=function(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new bi(this,{kind:\"constant\",value:void 0},t.parameters);var n=Ge[this.specification.type];return n?new bi(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Ti.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new bi(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new bi(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new bi(this,{kind:\"constant\",value:s},e)}return new bi(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if(\"source\"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Ti),Ai=function(t){this.specification=t};Ai.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new pi(Math.floor(e.zoom-1),e)),t.expression.evaluate(new pi(Math.floor(e.zoom),e)),t.expression.evaluate(new pi(Math.floor(e.zoom+1),e)),e)}},Ai.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Ai.prototype.interpolate=function(t){return t};var Mi=function(t){this.specification=t};Mi.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},Mi.prototype.interpolate=function(){return!1};var Si=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new di(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new mi(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};Nn(\"DataDrivenProperty\",Ti),Nn(\"DataConstantProperty\",wi),Nn(\"CrossFadedDataDrivenProperty\",ki),Nn(\"CrossFadedProperty\",Ai),Nn(\"ColorRampProperty\",Mi);var Ei=function(t){function e(e,r){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},\"custom\"!==e.type&&(e=e,this.metadata=e.metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,\"background\"!==e.type&&(this.source=e.source,this.sourceLayer=e[\"source-layer\"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new xi(r.layout)),r.paint)){for(var n in this._transitionablePaint=new gi(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var i in e.layout)this.setLayoutProperty(i,e.layout[i],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new _i(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".layout.\"+t;if(this._validate(In,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return g(t,\"-transition\")?this._transitionablePaint.getTransition(t.slice(0,-\"-transition\".length)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".paint.\"+t;if(this._validate(Pn,n,t,e,r))return!1}if(g(t,\"-transition\"))return this._transitionablePaint.setTransition(t.slice(0,-\"-transition\".length),e||void 0),!1;var i=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===i.property.specification[\"property-type\"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||(!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility)},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),y(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&On(this,t.call(Ln,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Lt,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof bi&&zr(e.property.specification)&&((\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent))return!0}return!1},e}(Et),Li={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},Ci=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Pi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ii(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Li[i].BYTES_PER_ELEMENT),o=r=Oi(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:Oi(r,Math.max(n,e)),alignment:e}}function Oi(t,e){return Math.ceil(t/e)*e}Pi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Pi.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Pi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Pi.prototype.clear=function(){this.length=0},Pi.prototype.resize=function(t){this.reserve(t),this.length=t},Pi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Pi.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Pi);zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2i4\",zi);var Di=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t},e}(Pi);Di.prototype.bytesPerElement=8,Nn(\"StructArrayLayout4i8\",Di);var Ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Ri.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i4i12\",Ri);var Fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Pi);Fi.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2i4ub8\",Fi);var Bi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u){var f=9*t,h=18*t;return this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint8[h+16]=c,this.uint8[h+17]=u,t},e}(Pi);Bi.prototype.bytesPerElement=18,Nn(\"StructArrayLayout8ui2ub18\",Bi);var Ni=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,c,u,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Pi);Ni.prototype.bytesPerElement=24,Nn(\"StructArrayLayout4i4ui4i24\",Ni);var ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Pi);ji.prototype.bytesPerElement=12,Nn(\"StructArrayLayout3f12\",ji);var Ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Pi);Ui.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1ul4\",Ui);var Vi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c){var u=10*t,f=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[f+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t},e}(Pi);Vi.prototype.bytesPerElement=20,Nn(\"StructArrayLayout6i1ul2ui20\",Vi);var Hi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Hi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i2i2i12\",Hi);var qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Pi);qi.prototype.bytesPerElement=16,Nn(\"StructArrayLayout2f1f2i16\",qi);var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Pi);Gi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2ub2f12\",Gi);var Yi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(Pi);Yi.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3ui6\",Yi);var Wi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g){var v=this.length;return this.resize(v+1),this.emplace(v,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v){var y=24*t,x=12*t,b=48*t;return this.int16[y+0]=e,this.int16[y+1]=r,this.uint16[y+2]=n,this.uint16[y+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[y+10]=l,this.uint16[y+11]=c,this.uint16[y+12]=u,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=m,this.uint32[x+10]=g,this.int16[y+22]=v,t},e}(Pi);Wi.prototype.bytesPerElement=48,Nn(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",Wi);var Zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=c,this.uint16[L+9]=u,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=m,this.uint16[L+15]=g,this.uint16[L+16]=v,this.uint16[L+17]=y,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Pi);Zi.prototype.bytesPerElement=68,Nn(\"StructArrayLayout8i15ui1ul4f68\",Zi);var Xi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(Pi);Xi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1f4\",Xi);var Ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(Pi);Ji.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3i6\",Ji);var Ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(Pi);Ki.prototype.bytesPerElement=8,Nn(\"StructArrayLayout1ul2ui8\",Ki);var Qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(Pi);Qi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2ui4\",Qi);var $i=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(Pi);$i.prototype.bytesPerElement=2,Nn(\"StructArrayLayout1ui2\",$i);var ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(Pi);ta.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2f8\",ta);var ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Pi);ea.prototype.bytesPerElement=16,Nn(\"StructArrayLayout4f16\",ea);var ra=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new i(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(Ci);ra.prototype.size=20;var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ra(this,t)},e}(Vi);Nn(\"CollisionBoxArray\",na);var ia=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},placedOrientation:{configurable:!0},hidden:{configurable:!0},crossTileID:{configurable:!0},associatedIconIndex:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.placedOrientation.get=function(){return this._structArray.uint8[this._pos1+37]},r.placedOrientation.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}(Ci);ia.prototype.size=48;var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ia(this,t)},e}(Wi);Nn(\"PlacedSymbolArray\",aa);var oa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return 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c=t.readVarint();n=7&c,a=c>>3}if(a--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new i(o,s));else{if(7!==n)throw new Error(\"unknown command \"+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},ws.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,c=-1/0;t.pos<e;){if(n<=0){var u=t.readVarint();r=7&u,n=u>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>c&&(c=a);else if(7!==r)throw new Error(\"unknown command \"+r)}return[o,l,s,c]},ws.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),c=ws.types[this.type];function u(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var f=[];for(n=0;n<l.length;n++)f[n]=l[n][0];u(l=f);break;case 2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=ks(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}r&&i.push(r);return i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)u(l[n][i])}1===l.length?l=l[0]:c=\"Multi\"+c;var h={type:\"Feature\",geometry:{type:c,coordinates:l},properties:this.properties};return\"id\"in this&&(h.id=this.id),h};var As=Ms;function Ms(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(Ss,this,e),this.length=this._features.length}function Ss(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){var e=null,r=t.readVarint()+t.pos;for(;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Es(t,e,r){if(3===t){var n=new As(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Ms.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new _s(this._pbf,e,this.extent,this._keys,this._values)};var Ls={VectorTile:function(t,e){this.layers=t.readFields(Es,{},e)},VectorTileFeature:_s,VectorTileLayer:As},Cs=Ls.VectorTileFeature.types,Ps=Math.pow(2,13);function Is(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*Ps)+o,i*Ps*2,a*Ps*2,Math.round(s))}var Os=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Ri,this.indexArray=new Yi,this.programConfigurations=new Ua(bs,t.layers,t.zoom),this.segments=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function zs(t,e){return t.x===e.x&&(t.x<0||t.x>8192)||t.y===e.y&&(t.y<0||t.y>8192)}function Ds(t){return t.every((function(t){return t.x<0}))||t.every((function(t){return t.x>8192}))||t.every((function(t){return t.y<0}))||t.every((function(t){return t.y>8192}))}Os.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=ds(\"fill-extrusion\",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,c=a.sourceLayerIndex,u=this.layers[0]._featureFilter.needGeometry,f={type:o.type,id:s,properties:o.properties,geometry:u?Ya(o):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),f,r)){var h={id:s,sourceLayerIndex:c,index:l,geometry:u?f.geometry:Ya(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(h.id=o.id),this.hasPattern?this.features.push(ms(\"fill-extrusion\",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,c,this.index,!0)}}},Os.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},Os.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Os.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Os.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Os.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,bs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Os.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Os.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=hs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,c=0,u=s;c<u.length;c+=1){l+=u[c].length}for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!Ds(d))for(var m=0,g=0;g<d.length;g++){var v=d[g];if(g>=1){var y=d[g-1];if(!zs(v,y)){f.vertexLength+4>pa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=v.sub(y)._perp()._unit(),b=y.dist(v);m+b>32768&&(m=0),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,0,m),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,1,m),m+=b,Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,m),Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,m);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>pa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===Cs[t.type]){for(var w=[],T=[],k=f.vertexLength,A=0,M=s;A<M.length;A+=1){var S=M[A];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var L=S[E];Is(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=Do(w,T),P=0;P<C.length;P+=3)this.indexArray.emplaceBack(k+C[P],k+C[P+2],k+C[P+1]);f.primitiveLength+=C.length/3,f.vertexLength+=l}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},Nn(\"FillExtrusionBucket\",Os,{omit:[\"layers\",\"features\"]});var Rs={paint:new Si({\"fill-extrusion-opacity\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new ki(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},Fs=function(t){function e(e){t.call(this,e,Rs)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new Os(t)},e.prototype.queryRadius=function(){return so(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,a,o,s,l){var c=lo(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),u=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),f=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),h=function(t,e,r,n){for(var a=[],o=0,s=t;o<s.length;o+=1){var l=s[o],c=[l.x,l.y,n,1];xo(c,c,e),a.push(new i(c[0]/c[3],c[1]/c[3]))}return a}(c,l,0,0),p=function(t,e,r,n){for(var a=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,m=0,g=t;m<g.length;m+=1){for(var v=g[m],y=[],x=[],b=0,_=v;b<_.length;b+=1){var w=_[b],T=w.x,k=w.y,A=n[0]*T+n[4]*k+n[12],M=n[1]*T+n[5]*k+n[13],S=n[2]*T+n[6]*k+n[14],E=n[3]*T+n[7]*k+n[15],L=S+c,C=E+u,P=A+f,I=M+h,O=S+p,z=E+d,D=new i((A+s)/C,(M+l)/C);D.z=L/C,y.push(D);var R=new i(P/z,I/z);R.z=O/z,x.push(R)}a.push(y),o.push(x)}return[a,o]}(n,f,u,l);return function(t,e,r){var n=1/0;Ka(r,e)&&(n=Ns(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],c=a[s+1],u=o[s],f=o[s+1],h=[l,c,f,u,l];Xa(r,h)&&(n=Math.min(n,Ns(r,h)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Ei);function Bs(t,e){return t.x*e.x+t.y*e.y}function Ns(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),c=o.sub(i),u=Bs(s,s),f=Bs(s,l),h=Bs(l,l),p=Bs(c,s),d=Bs(c,l),m=u*h-f*f,g=(h*p-f*d)/m,v=(u*d-f*p)/m,y=1-g-v,x=i.z*y+r.z*g+a.z*v;if(isFinite(x))return x}return 1/0}for(var b=1/0,_=0,w=e;_<w.length;_+=1){var T=w[_];b=Math.min(b,T.z)}return b}var js=Ii([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,Us=Ls.VectorTileFeature.types,Vs=Math.cos(Math.PI/180*37.5),Hs=Math.pow(2,14)/.5,qs=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new Fi,this.indexArray=new Yi,this.programConfigurations=new Ua(js,t.layers,t.zoom),this.segments=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};qs.prototype.populate=function(t,e,r){this.hasPattern=ds(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,c=s.id,u=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:c,properties:l.properties,geometry:h?Ya(l):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),p,r)){h||(p.geometry=Ya(l));var d=n?n.evaluate(p,{},r):void 0,m={id:c,properties:l.properties,type:l.type,sourceLayerIndex:f,index:u,geometry:p.geometry,patterns:{},sortKey:d};i.push(m)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,v=i;g<v.length;g+=1){var y=v[g],x=y,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=ms(\"line\",this.layers,y,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(y,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},qs.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},qs.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},qs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},qs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},qs.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,js),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},qs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},qs.prototype.addFeature=function(t,e,r,n,i){for(var a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),c=a.get(\"line-round-limit\"),u=0,f=e;u<f.length;u+=1){var h=f[u];this.addLine(h,t,o,s,l,c)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},qs.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty(\"mapbox_clip_start\")&&e.properties.hasOwnProperty(\"mapbox_clip_end\")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance()}for(var s=\"Polygon\"===Us[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var c=0;c<l-1&&t[c].equals(t[c+1]);)c++;if(!(l<(s?3:2))){\"bevel\"===r&&(i=1.05);var u,f=this.overscaling<=16?122880/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,m=void 0,g=void 0;this.e1=this.e2=-1,s&&(u=t[l-2],g=t[c].sub(u)._unit()._perp());for(var v=c;v<l;v++)if(!(d=v===l-1?s?t[c+1]:void 0:t[v+1])||!t[v].equals(d)){g&&(m=g),u&&(p=u),u=t[v],g=d?d.sub(u)._unit()._perp():m;var y=(m=m||g).add(g);0===y.x&&0===y.y||y._unit();var x=m.x*g.x+m.y*g.y,b=y.x*g.x+y.y*g.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<Vs&&p&&d,k=m.x*g.y-m.y*g.x>0;if(T&&v>c){var A=u.dist(p);if(A>2*f){var M=u.sub(u.sub(p)._mult(f/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,m,0,0,h),p=M}}var S=p&&d,E=S?r:s?\"butt\":n;if(S&&\"round\"===E&&(_<a?E=\"miter\":_<=2&&(E=\"fakeround\")),\"miter\"===E&&_>i&&(E=\"bevel\"),\"bevel\"===E&&(_>2&&(E=\"flipbevel\"),_<i&&(E=\"miter\")),p&&this.updateDistance(p,u),\"miter\"===E)y._mult(_),this.addCurrentVertex(u,y,0,0,h);else if(\"flipbevel\"===E){if(_>100)y=g.mult(-1);else{var L=_*m.add(g).mag()/m.sub(g).mag();y._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(u,y,0,0,h),this.addCurrentVertex(u,y.mult(-1),0,0,h)}else if(\"bevel\"===E||\"fakeround\"===E){var C=-Math.sqrt(_*_-1),P=k?C:0,I=k?0:C;if(p&&this.addCurrentVertex(u,m,P,I,h),\"fakeround\"===E)for(var O=Math.round(180*w/Math.PI/20),z=1;z<O;z++){var D=z/O;if(.5!==D){var R=D-.5;D+=D*R*(D-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(m)._mult(D)._add(m)._unit()._mult(k?-1:1);this.addHalfVertex(u,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(u,g,-P,-I,h)}else if(\"butt\"===E)this.addCurrentVertex(u,y,0,0,h);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(u,y,B,B,h)}else\"round\"===E&&(p&&(this.addCurrentVertex(u,m,0,0,h),this.addCurrentVertex(u,m,1,1,h,!0)),d&&(this.addCurrentVertex(u,g,-1,-1,h,!0),this.addCurrentVertex(u,g,0,0,h)));if(T&&v<l-1){var N=u.dist(d);if(N>2*f){var j=u.add(d.sub(u)._mult(f/N)._round());this.updateDistance(u,j),this.addCurrentVertex(j,g,0,0,h),u=j}}}}},qs.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,c=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,c,a,!0,-n,i),this.distance>Hs/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},qs.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,c=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&c)<<2,c>>6);var u=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,u),o.primitiveLength++),i?this.e2=u:this.e1=u},qs.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(Hs-1):this.distance},qs.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},Nn(\"LineBucket\",qs,{omit:[\"layers\",\"patternFeatures\"]});var Gs=new Si({\"line-cap\":new wi(Lt.layout_line[\"line-cap\"]),\"line-join\":new Ti(Lt.layout_line[\"line-join\"]),\"line-miter-limit\":new wi(Lt.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new wi(Lt.layout_line[\"line-round-limit\"]),\"line-sort-key\":new Ti(Lt.layout_line[\"line-sort-key\"])}),Ys={paint:new Si({\"line-opacity\":new Ti(Lt.paint_line[\"line-opacity\"]),\"line-color\":new Ti(Lt.paint_line[\"line-color\"]),\"line-translate\":new wi(Lt.paint_line[\"line-translate\"]),\"line-translate-anchor\":new wi(Lt.paint_line[\"line-translate-anchor\"]),\"line-width\":new Ti(Lt.paint_line[\"line-width\"]),\"line-gap-width\":new Ti(Lt.paint_line[\"line-gap-width\"]),\"line-offset\":new Ti(Lt.paint_line[\"line-offset\"]),\"line-blur\":new Ti(Lt.paint_line[\"line-blur\"]),\"line-dasharray\":new Ai(Lt.paint_line[\"line-dasharray\"]),\"line-pattern\":new ki(Lt.paint_line[\"line-pattern\"]),\"line-gradient\":new Mi(Lt.paint_line[\"line-gradient\"])}),layout:Gs},Ws=new(function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(e,r){return r=new pi(Math.floor(r.zoom),{now:r.now,fadeDuration:r.fadeDuration,zoomHistory:r.zoomHistory,transition:r.transition}),t.prototype.possiblyEvaluate.call(this,e,r)},e.prototype.evaluate=function(e,r,n,i){return r=u({},r,{zoom:Math.floor(r.zoom)}),t.prototype.evaluate.call(this,e,r,n,i)},e}(Ti))(Ys.paint.properties[\"line-width\"].specification);Ws.useIntegerZoom=!0;var Zs=function(t){function e(e){t.call(this,e,Ys)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._handleSpecialPaintPropertyUpdate=function(t){\"line-gradient\"===t&&this._updateGradient()},e.prototype._updateGradient=function(){var t=this._transitionablePaint._values[\"line-gradient\"].value.expression;this.gradient=Co(t,\"lineProgress\"),this.gradientTexture=null},e.prototype.recalculate=function(e,r){t.prototype.recalculate.call(this,e,r),this.paint._values[\"line-floorwidth\"]=Ws.possiblyEvaluate(this._transitioningPaint._values[\"line-width\"].value,e)},e.prototype.createBucket=function(t){return new qs(t)},e.prototype.queryRadius=function(t){var e=t,r=Xs(oo(\"line-width\",this,e),oo(\"line-gap-width\",this,e)),n=oo(\"line-offset\",this,e);return r/2+Math.abs(n)+so(this.paint.get(\"line-translate\"))},e.prototype.queryIntersectsFeature=function(t,e,r,n,a,o,s){var l=lo(t,this.paint.get(\"line-translate\"),this.paint.get(\"line-translate-anchor\"),o.angle,s),c=s/2*Xs(this.paint.get(\"line-width\").evaluate(e,r),this.paint.get(\"line-gap-width\").evaluate(e,r)),u=this.paint.get(\"line-offset\").evaluate(e,r);return u&&(n=function(t,e){for(var r=[],n=new i(0,0),a=0;a<t.length;a++){for(var o=t[a],s=[],l=0;l<o.length;l++){var c=o[l-1],u=o[l],f=o[l+1],h=0===l?n:u.sub(c)._unit()._perp(),p=l===o.length-1?n:f.sub(u)._unit()._perp(),d=h._add(p)._unit(),m=d.x*p.x+d.y*p.y;d._mult(1/m),s.push(d._mult(e)._add(u))}r.push(s)}return r}(n,u*s)),function(t,e,r){for(var n=0;n<e.length;n++){var i=e[n];if(t.length>=3)for(var a=0;a<i.length;a++)if(io(t,i[a]))return!0;if(Qa(t,i,r))return!0}return!1}(l,n,c)},e.prototype.isTileClipped=function(){return!0},e}(Ei);function Xs(t,e){return e>0?e+2*t:t}var 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nl=function(t,e,r,n,i){var a,o,s=8*i-n-1,l=(1<<s)-1,c=l>>1,u=-7,f=r?i-1:0,h=r?-1:1,p=t[e+f];for(f+=h,a=p&(1<<-u)-1,p>>=-u,u+=s;u>0;a=256*a+t[e+f],f+=h,u-=8);for(o=a&(1<<-u)-1,a>>=-u,u+=n;u>0;o=256*o+t[e+f],f+=h,u-=8);if(0===a)a=1-c;else{if(a===l)return o?NaN:1/0*(p?-1:1);o+=Math.pow(2,n),a-=c}return(p?-1:1)*o*Math.pow(2,a-n)},il=function(t,e,r,n,i,a){var o,s,l,c=8*a-i-1,u=(1<<c)-1,f=u>>1,h=23===i?Math.pow(2,-24)-Math.pow(2,-77):0,p=n?0:a-1,d=n?1:-1,m=e<0||0===e&&1/e<0?1:0;for(e=Math.abs(e),isNaN(e)||e===1/0?(s=isNaN(e)?1:0,o=u):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),(e+=o+f>=1?h/l:h*Math.pow(2,1-f))*l>=2&&(o++,l/=2),o+f>=u?(s=0,o=u):o+f>=1?(s=(e*l-1)*Math.pow(2,i),o+=f):(s=e*Math.pow(2,f-1)*Math.pow(2,i),o=0));i>=8;t[r+p]=255&s,p+=d,s/=256,i-=8);for(o=o<<i|s,c+=i;c>0;t[r+p]=255&o,p+=d,o/=256,c-=8);t[r+p-d]|=128*m},al=ol;function ol(t){this.buf=ArrayBuffer.isView&&ArrayBuffer.isView(t)?t:new 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e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==ol.Bytes)return t.push(this.readFixed64());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==ol.Bytes)return t.push(this.readSFixed64());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===ol.Varint)for(;this.buf[this.pos++]>127;);else if(e===ol.Bytes)this.pos=this.readVarint()+this.pos;else if(e===ol.Fixed32)this.pos+=4;else{if(e!==ol.Fixed64)throw new Error(\"Unimplemented type: \"+e);this.pos+=8}},writeTag:function(t,e){this.writeVarint(t<<3|e)},realloc:function(t){for(var e=this.length||16;e<this.pos+t;)e*=2;if(e!==this.length){var r=new Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e}},finish:function(){return this.length=this.pos,this.pos=0,this.buf.subarray(0,this.length)},writeFixed32:function(t){this.realloc(4),_l(this.buf,t,this.pos),this.pos+=4},writeSFixed32:function(t){this.realloc(4),_l(this.buf,t,this.pos),this.pos+=4},writeFixed64:function(t){this.realloc(8),_l(this.buf,-1&t,this.pos),_l(this.buf,Math.floor(t*(1/4294967296)),this.pos+4),this.pos+=8},writeSFixed64:function(t){this.realloc(8),_l(this.buf,-1&t,this.pos),_l(this.buf,Math.floor(t*(1/4294967296)),this.pos+4),this.pos+=8},writeVarint:function(t){(t=+t||0)>268435455||t<0?function(t,e){var r,n;t>=0?(r=t%4294967296|0,n=t/4294967296|0):(n=~(-t/4294967296),4294967295^(r=~(-t%4294967296))?r=r+1|0:(r=0,n=n+1|0));if(t>=0x10000000000000000||t<-0x10000000000000000)throw new Error(\"Given varint doesn't fit into 10 bytes\");e.realloc(10),function(t,e,r){r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos]=127&t}(r,0,e),function(t,e){var r=(7&t)<<4;if(e.buf[e.pos++]|=r|((t>>>=3)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;e.buf[e.pos++]=127&t}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&ul(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),il(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),il(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&ul(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,ol.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,fl,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,hl,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,ml,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,pl,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,dl,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,gl,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,vl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,yl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,xl,e)},writeBytesField:function(t,e){this.writeTag(t,ol.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,ol.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,ol.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,ol.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,ol.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,ol.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,ol.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,ol.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,ol.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,ol.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};function Tl(t,e,r){1===t&&r.readMessage(kl,e)}function kl(t,e,r){if(3===t){var n=r.readMessage(Al,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,c=n.top,u=n.advance;e.push({id:i,bitmap:new So({width:o+6,height:s+6},a),metrics:{width:o,height:s,left:l,top:c,advance:u}})}}function Al(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}function Ml(t){for(var e=0,r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];e+=a.w*a.h,r=Math.max(r,a.w)}t.sort((function(t,e){return e.h-t.h}));for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,c=0,u=t;c<u.length;c+=1)for(var f=u[c],h=o.length-1;h>=0;h--){var p=o[h];if(!(f.w>p.w||f.h>p.h)){if(f.x=p.x,f.y=p.y,l=Math.max(l,f.y+f.h),s=Math.max(s,f.x+f.w),f.w===p.w&&f.h===p.h){var d=o.pop();h<o.length&&(o[h]=d)}else 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Eo({width:o||1,height:s||1});for(var c in t){var u=t[c],f=r[c].paddedRect;Eo.copy(u.data,l,{x:0,y:0},{x:f.x+1,y:f.y+1},u.data)}for(var h in e){var p=e[h],d=n[h].paddedRect,m=d.x+1,g=d.y+1,v=p.data.width,y=p.data.height;Eo.copy(p.data,l,{x:0,y:0},{x:m,y:g},p.data),Eo.copy(p.data,l,{x:0,y:y-1},{x:m,y:g-1},{width:v,height:1}),Eo.copy(p.data,l,{x:0,y:0},{x:m,y:g+y},{width:v,height:1}),Eo.copy(p.data,l,{x:v-1,y:0},{x:m-1,y:g},{width:1,height:y}),Eo.copy(p.data,l,{x:0,y:0},{x:m+v,y:g},{width:1,height:y})}this.image=l,this.iconPositions=r,this.patternPositions=n};Ll.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2,h:i.data.height+2};r.push(a),e[n]=new Sl(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},Ll.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},Ll.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,i=n[0],a=n[1];r.update(e.data,void 0,{x:i,y:a})}},Nn(\"ImagePosition\",Sl),Nn(\"ImageAtlas\",Ll);var Cl={horizontal:1,vertical:2,horizontalOnly:3};var Pl=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};Pl.forText=function(t,e){var r=new Pl;return r.scale=t||1,r.fontStack=e,r},Pl.forImage=function(t){var e=new Pl;return e.imageName=t,e};var Il=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function Ol(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m){var g,v=Il.fromFeature(t,i);f===Cl.vertical&&v.verticalizePunctuation();var y=hi.processBidirectionalText,x=hi.processStyledBidirectionalText;if(y&&1===v.sections.length){g=[];for(var b=0,_=y(v.toString(),jl(v,c,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new Il;T.text=w,T.sections=v.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);g.push(T)}}else if(x){g=[];for(var A=0,M=x(v.text,v.sectionIndex,jl(v,c,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new Il;E.text=S[0],E.sectionIndex=S[1],E.sections=v.sections,g.push(E)}}else g=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(v,jl(v,c,a,e,n,p,d));var L=[],C={positionedLines:L,text:v.toString(),top:u[1],bottom:u[1],left:u[0],right:u[0],writingMode:f,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,c,u,f){for(var h=0,p=-17,d=0,m=0,g=\"right\"===s?1:\"left\"===s?0:.5,v=0,y=0,x=i;y<x.length;y+=1){var b=x[y];b.trim();var _=b.getMaxScale(),w=24*(_-1),T={positionedGlyphs:[],lineOffset:0};t.positionedLines[v]=T;var k=T.positionedGlyphs,A=0;if(b.length()){for(var M=0;M<b.length();M++){var S=b.getSection(M),E=b.getSectionIndex(M),L=b.getCharCode(M),C=0,P=null,I=null,O=null,z=24,D=!(l===Cl.horizontal||!u&&!Xn(L)||u&&(zl[L]||(Y=L,Yn.Arabic(Y)||Yn[\"Arabic Supplement\"](Y)||Yn[\"Arabic Extended-A\"](Y)||Yn[\"Arabic Presentation Forms-A\"](Y)||Yn[\"Arabic Presentation Forms-B\"](Y))));if(S.imageName){var R=n[S.imageName];if(!R)continue;O=S.imageName,t.iconsInText=t.iconsInText||!0,I=R.paddedRect;var F=R.displaySize;S.scale=24*S.scale/f,P={width:F[0],height:F[1],left:1,top:-3,advance:D?F[1]:F[0]};var B=24-F[1]*S.scale;C=w+B,z=P.advance;var N=D?F[0]*S.scale-24*_:F[1]*S.scale-24*_;N>0&&N>A&&(A=N)}else{var j=r[S.fontStack],U=j&&j[L];if(U&&U.rect)I=U.rect,P=U.metrics;else{var V=e[S.fontStack],H=V&&V[L];if(!H)continue;P=H.metrics}C=24*(_-S.scale)}D?(t.verticalizable=!0,k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=z*S.scale+c):(k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=P.advance*S.scale+c)}if(0!==k.length){var q=h-c;d=Math.max(q,d),Vl(k,0,k.length-1,g,A)}h=0;var G=a*_+A;T.lineOffset=Math.max(A,w),p+=G,m=Math.max(G,m),++v}else p+=a,++v}var Y;var W=p- -17,Z=Ul(o),X=Z.horizontalAlign,J=Z.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var c=(e-r)*i,u=0;u=a!==o?-s*n- -17:(-n*l+.5)*o;for(var f=0,h=t;f<h.length;f+=1)for(var p=h[f],d=0,m=p.positionedGlyphs;d<m.length;d+=1){var g=m[d];g.x+=c,g.y+=u}})(t.positionedLines,g,X,J,d,m,a,W,i.length),t.top+=-J*W,t.bottom=t.top+W,t.left+=-X*d,t.right=t.left+d}(C,e,r,n,g,o,s,l,f,c,h,m),!function(t){for(var e=0,r=t;e<r.length;e+=1){if(0!==r[e].positionedGlyphs.length)return!1}return!0}(L)&&C}Il.fromFeature=function(t,e){for(var r=new Il,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},Il.prototype.length=function(){return this.text.length},Il.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},Il.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},Il.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},Il.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;(!n||!Jn(n)||rl[t[r+1]])&&(!i||!Jn(i)||rl[t[r-1]])&&rl[t[r]]?e+=rl[t[r]]:e+=t[r]}return e}(this.text)},Il.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&zl[this.text.charCodeAt(e)];e++)t++;for(var 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e=this.data,r=this.compare,n=this.length>>1,i=e[t];t<n;){var a=1+(t<<1),o=e[a],s=a+1;if(s<this.length&&r(e[s],o)<0&&(a=s,o=e[s]),r(o,i)>=0)break;e[t]=o,t=a}e[t]=i};var pc=Number.POSITIVE_INFINITY;function dc(t,e){return e[1]!==pc?function(t,e,r){var n=0,i=0;switch(e=Math.abs(e),r=Math.abs(r),t){case\"top-right\":case\"top-left\":case\"top\":i=r-7;break;case\"bottom-right\":case\"bottom-left\":case\"bottom\":i=7-r}switch(t){case\"top-right\":case\"bottom-right\":case\"right\":n=-e;break;case\"top-left\":case\"bottom-left\":case\"left\":n=e}return[n,i]}(t,e[0],e[1]):function(t,e){var r=0,n=0;e<0&&(e=0);var i=e/Math.sqrt(2);switch(t){case\"top-right\":case\"top-left\":n=i-7;break;case\"bottom-right\":case\"bottom-left\":n=7-i;break;case\"bottom\":n=7-e;break;case\"top\":n=e-7}switch(t){case\"top-right\":case\"bottom-right\":r=-i;break;case\"top-left\":case\"bottom-left\":r=i;break;case\"left\":r=e;break;case\"right\":r=-e}return[r,n]}(t,e[0])}function mc(t){switch(t){case\"right\":case\"top-right\":case\"bottom-right\":return\"right\";case\"left\":case\"top-left\":case\"bottom-left\":return\"left\"}return\"center\"}function gc(t,e,r,n,a,o,s,l,c,u,f,h,p,d,m){var g=function(t,e,r,n,a,o,s,l){for(var c=n.layout.get(\"text-rotate\").evaluate(o,{})*Math.PI/180,u=[],f=0,h=e.positionedLines;f<h.length;f+=1)for(var p=h[f],d=0,m=p.positionedGlyphs;d<m.length;d+=1){var g=m[d];if(g.rect){var v=g.rect||{},y=4,x=!0,b=1,_=0,w=(a||l)&&g.vertical,T=g.metrics.advance*g.scale/2;if(l&&e.verticalizable){var k=24*(g.scale-1),A=(24-g.metrics.width*g.scale)/2;_=p.lineOffset/2-(g.imageName?-A:k)}if(g.imageName){var M=s[g.imageName];x=M.sdf,y=1/(b=M.pixelRatio)}var S=a?[g.x+T,g.y]:[0,0],E=a?[0,0]:[g.x+T+r[0],g.y+r[1]-_],L=[0,0];w&&(L=E,E=[0,0]);var C=(g.metrics.left-y)*g.scale-T+E[0],P=(-g.metrics.top-y)*g.scale+E[1],I=C+v.w*g.scale/b,O=P+v.h*g.scale/b,z=new i(C,P),D=new i(I,P),R=new i(C,O),F=new i(I,O);if(w){var B=new i(-T,T- -17),N=-Math.PI/2,j=12-T,U=g.imageName?j:0,V=new i(22-j,-U),H=new(Function.prototype.bind.apply(i,[null].concat(L)));z._rotateAround(N,B)._add(V)._add(H),D._rotateAround(N,B)._add(V)._add(H),R._rotateAround(N,B)._add(V)._add(H),F._rotateAround(N,B)._add(V)._add(H)}if(c){var q=Math.sin(c),G=Math.cos(c),Y=[G,-q,q,G];z._matMult(Y),D._matMult(Y),R._matMult(Y),F._matMult(Y)}var W=new i(0,0),Z=new i(0,0);u.push({tl:z,tr:D,bl:R,br:F,tex:v,writingMode:e.writingMode,glyphOffset:S,sectionIndex:g.sectionIndex,isSDF:x,pixelOffsetTL:W,pixelOffsetBR:Z,minFontScaleX:0,minFontScaleY:0})}}return u}(0,r,l,a,o,s,n,t.allowVerticalPlacement),v=t.textSizeData,y=null;\"source\"===v.kind?(y=[128*a.layout.get(\"text-size\").evaluate(s,{})])[0]>32640&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'):\"composite\"===v.kind&&((y=[128*d.compositeTextSizes[0].evaluate(s,{},m),128*d.compositeTextSizes[1].evaluate(s,{},m)])[0]>32640||y[1]>32640)&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'),t.addSymbols(t.text,g,y,l,o,s,u,e,c.lineStartIndex,c.lineLength,p,m);for(var x=0,b=f;x<b.length;x+=1){h[b[x]]=t.text.placedSymbolArray.length-1}return 4*g.length}function vc(t){for(var e in t)return t[e];return null}function yc(t,e,r,n){var i=t.compareText;if(e in i){for(var a=i[e],o=a.length-1;o>=0;o--)if(n.dist(a[o])<r)return!0}else i[e]=[];return i[e].push(n),!1}var xc=Ls.VectorTileFeature.types,bc=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function _c(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=s?Math.min(32640,Math.round(s[0])):0,d=s?Math.min(32640,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*c,16*u,256*f,256*h)}function wc(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}function Tc(t){for(var e=0,r=t.sections;e<r.length;e+=1){if($n(r[e].text))return!0}return!1}var kc=function(t){this.layoutVertexArray=new Ni,this.indexArray=new Yi,this.programConfigurations=t,this.segments=new pa,this.dynamicLayoutVertexArray=new ji,this.opacityVertexArray=new Ui,this.placedSymbolArray=new aa};kc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},kc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Js.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Ks.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,bc,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},kc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},Nn(\"SymbolBuffers\",kc);var Ac=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new pa,this.collisionVertexArray=new Gi};Ac.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,Qs.members,!0)},Ac.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},Nn(\"CollisionBuffers\",Ac);var Mc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=ho([]),this.placementViewportMatrix=ho([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Gl(this.zoom,e[\"text-size\"]),this.iconSizeData=Gl(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),i=r.get(\"symbol-z-order\");this.sortFeaturesByKey=\"viewport-y\"!==i&&void 0!==n.constantOr(1);var a=\"viewport-y\"===i||\"auto\"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&(r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\")),\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return Cl[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};Mc.prototype.createArrays=function(){this.text=new kc(new Ua(Js.members,this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new kc(new Ua(Js.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new la,this.lineVertexArray=new ca,this.symbolInstances=new sa},Mc.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=rl[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},Mc.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get(\"text-font\"),o=i.get(\"text-field\"),s=i.get(\"icon-image\"),l=(\"constant\"!==o.value.kind||o.value.value instanceof ne&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),c=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,u=i.get(\"symbol-sort-key\");if(this.features=[],l||c){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new pi(this.zoom),m=0,g=t;m<g.length;m+=1){var v=g[m],y=v.feature,x=v.id,b=v.index,_=v.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:y.type,id:x,properties:y.properties,geometry:w?Ya(y):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=Ya(y));var k=void 0;if(l){var A=n.getValueAndResolveTokens(\"text-field\",T,r,p),M=ne.factory(A);Tc(M)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===ui()||this.hasRTLText&&hi.isParsed())&&(k=el(M,n,T))}var S=void 0;if(c){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof ie?E:ie.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?u.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:Ya(y),properties:y.properties,type:xc[y.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var P=a.evaluate(T,{},r).join(\",\"),I=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(Cl.vertical)>=0;for(var O=0,z=k.sections;O<z.length;O+=1){var D=z[O];if(D.image)f[D.image.name]=!0;else{var R=Wn(k.toString()),F=D.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(D.text,B,I,this.allowVerticalPlacement,R)}}}}}}\"line\"===i.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var c=0;c<t.length;c++){var u=t[c],f=u.geometry,h=u.text?u.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var m=s(p,d,f),g=o(p,d,n[m].geometry);delete e[p],delete r[d],r[l(h,n[g].geometry,!0)]=g,n[m].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(c),e[p]=i-1,r[d]=i-1)}else a(c)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},Mc.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},Mc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},Mc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},Mc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},Mc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},Mc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},Mc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=a[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},Mc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,c,u,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,a.sortKey),m=this.glyphOffsetArray.length,g=d.vertexLength,v=this.allowVerticalPlacement&&o===Cl.vertical?Math.PI/2:0,y=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,A=b.tex,M=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,P=b.isSDF,I=b.sectionIndex,O=d.vertexLength,z=C[1];_c(p,s.x,s.y,_.x,z+_.y,A.x,A.y,r,P,M.x,M.y,E,L),_c(p,s.x,s.y,w.x,z+w.y,A.x+A.w,A.y,r,P,S.x,M.y,E,L),_c(p,s.x,s.y,T.x,z+T.y,A.x,A.y+A.h,r,P,M.x,S.y,E,L),_c(p,s.x,s.y,k.x,z+k.y,A.x+A.w,A.y+A.h,r,P,S.x,S.y,E,L),wc(t.dynamicLayoutVertexArray,s,v),h.emplaceBack(O,O+1,O+2),h.emplaceBack(O+1,O+2,O+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&I===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,y&&y[I])}t.placedSymbolArray.emplaceBack(s.x,s.y,m,this.glyphOffsetArray.length-m,g,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,u)},Mc.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},Mc.prototype.addCollisionDebugVertices=function(t,e,r,n,a,o,s){var l=a.segments.prepareSegment(4,a.layoutVertexArray,a.indexArray),c=l.vertexLength,u=a.layoutVertexArray,f=a.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(u,f,o,h,p,new i(t,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,n)),this._addCollisionDebugVertex(u,f,o,h,p,new i(t,n)),l.vertexLength+=4;var d=a.indexArray;d.emplaceBack(c,c+1),d.emplaceBack(c+1,c+2),d.emplaceBack(c+2,c+3),d.emplaceBack(c+3,c),l.primitiveLength+=4},Mc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,c=a.y2;this.addCollisionDebugVertices(o,s,l,c,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},Mc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new Ac(Hi,$s.members,Qi),this.iconCollisionBox=new Ac(Hi,$s.members,Qi);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},Mc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var c={},u=e;u<r;u++){var f=t.get(u);c.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},c.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);c.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},c.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var m=t.get(d);c.iconBox={x1:m.x1,y1:m.y1,x2:m.x2,y2:m.y2,anchorPointX:m.anchorPointX,anchorPointY:m.anchorPointY},c.iconFeatureIndex=m.featureIndex;break}for(var g=s;g<l;g++){var v=t.get(g);c.verticalIconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},c.verticalIconFeatureIndex=v.featureIndex;break}return c},Mc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},Mc.prototype.hasTextData=function(){return this.text.segments.get().length>0},Mc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Mc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},Mc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},Mc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},Mc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},Mc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},Mc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},Mc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},Nn(\"SymbolBucket\",Mc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),Mc.MAX_GLYPHS=65535,Mc.addDynamicAttributes=wc;var Sc=new Si({\"symbol-placement\":new wi(Lt.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new wi(Lt.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new wi(Lt.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Ti(Lt.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new wi(Lt.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new wi(Lt.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new wi(Lt.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new wi(Lt.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new wi(Lt.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Ti(Lt.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new wi(Lt.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new wi(Lt.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Ti(Lt.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Ti(Lt.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new wi(Lt.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new wi(Lt.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Ti(Lt.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Ti(Lt.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new wi(Lt.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new wi(Lt.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new wi(Lt.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Ti(Lt.layout_symbol[\"text-field\"]),\"text-font\":new Ti(Lt.layout_symbol[\"text-font\"]),\"text-size\":new Ti(Lt.layout_symbol[\"text-size\"]),\"text-max-width\":new Ti(Lt.layout_symbol[\"text-max-width\"]),\"text-line-height\":new wi(Lt.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Ti(Lt.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Ti(Lt.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Ti(Lt.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new wi(Lt.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Ti(Lt.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new wi(Lt.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new wi(Lt.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Ti(Lt.layout_symbol[\"text-rotate\"]),\"text-padding\":new wi(Lt.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new wi(Lt.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Ti(Lt.layout_symbol[\"text-transform\"]),\"text-offset\":new Ti(Lt.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new wi(Lt.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new wi(Lt.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new wi(Lt.layout_symbol[\"text-optional\"])}),Ec={paint:new Si({\"icon-opacity\":new Ti(Lt.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Ti(Lt.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Ti(Lt.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Ti(Lt.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Ti(Lt.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new wi(Lt.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new wi(Lt.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Ti(Lt.paint_symbol[\"text-opacity\"]),\"text-color\":new Ti(Lt.paint_symbol[\"text-color\"],{runtimeType:Ut,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Ti(Lt.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Ti(Lt.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Ti(Lt.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new wi(Lt.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new wi(Lt.paint_symbol[\"text-translate-anchor\"])}),layout:Sc},Lc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Ft,this.defaultValue=t};Lc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},Lc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},Lc.prototype.outputDefined=function(){return!1},Lc.prototype.serialize=function(){return null},Nn(\"FormatSectionOverride\",Lc,{omit:[\"defaultValue\"]});var Cc=function(t){function e(e){t.call(this,e,Ec)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values[\"text-writing-mode\"]=i}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||Yr(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):\"\"}))}(e.properties,i)},e.prototype.createBucket=function(t){return new Mc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=Ec.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i=this.paint.get(n),a=new Lc(i),o=new Gr(a,i.property.specification),s=null;s=\"constant\"===i.value.kind||\"source\"===i.value.kind?new Zr(\"source\",o):new Xr(\"composite\",o,i.value.zoomStops,i.value._interpolationType),this.paint._values[n]=new bi(i.property,s,i.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=Ec.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if(\"constant\"===r.value.kind&&r.value.value instanceof ne)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof ce&&se(t.value)===Gt){var e=t.value;a(e.sections)}else t instanceof pe?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Ei),Pc={paint:new Si({\"background-color\":new wi(Lt.paint_background[\"background-color\"]),\"background-pattern\":new Ai(Lt.paint_background[\"background-pattern\"]),\"background-opacity\":new wi(Lt.paint_background[\"background-opacity\"])})},Ic=function(t){function e(e){t.call(this,e,Pc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei),Oc={paint:new Si({\"raster-opacity\":new wi(Lt.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new wi(Lt.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new wi(Lt.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new wi(Lt.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new wi(Lt.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new wi(Lt.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new wi(Lt.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new wi(Lt.paint_raster[\"raster-fade-duration\"])})},zc=function(t){function e(e){t.call(this,e,Oc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei);var Dc=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return\"3d\"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Ei),Rc={circle:_o,heatmap:Po,hillshade:Oo,fill:xs,\"fill-extrusion\":Fs,line:Zs,symbol:Cc,background:Ic,raster:zc};var Fc=self.HTMLImageElement,Bc=self.HTMLCanvasElement,Nc=self.HTMLVideoElement,jc=self.ImageData,Uc=self.ImageBitmap,Vc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Vc.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Vc.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Vc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Vc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Hc=function(t){var e=this;this._callback=t,this._triggered=!1,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};Hc.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},Hc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var qc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},m([\"receive\",\"process\"],this),this.invoker=new Hc(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=k()?t:self};function Gc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}qc.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=S(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:Hn(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},qc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else k()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},qc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},qc.prototype.processTask=function(t,e){var r=this;if(\"<response>\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(qn(e.error)):n(null,qn(e.data)))}else{var i=!1,a=S(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"<response>\",sourceMapId:r.mapId,error:e?Hn(e):null,data:Hn(n,a)},a)}:function(t){i=!0},s=null,l=qn(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},qc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Yc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Yc.prototype.setNorthEast=function(t){return this._ne=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.setSouthWest=function(t){return this._sw=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Wc)e=t,r=t;else{if(!(t instanceof Yc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Yc.convert(a))}var o=t;return this.extend(Wc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Wc(e.lng,e.lat),this._ne=new Wc(r.lng,r.lat)),this},Yc.prototype.getCenter=function(){return new Wc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Yc.prototype.getSouthWest=function(){return this._sw},Yc.prototype.getNorthEast=function(){return this._ne},Yc.prototype.getNorthWest=function(){return new Wc(this.getWest(),this.getNorth())},Yc.prototype.getSouthEast=function(){return new Wc(this.getEast(),this.getSouth())},Yc.prototype.getWest=function(){return this._sw.lng},Yc.prototype.getSouth=function(){return this._sw.lat},Yc.prototype.getEast=function(){return this._ne.lng},Yc.prototype.getNorth=function(){return this._ne.lat},Yc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Yc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Yc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Yc.prototype.contains=function(t){var e=Wc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Yc.convert=function(t){return!t||t instanceof Yc?t:new Yc(t)};var Wc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};Wc.prototype.wrap=function(){return new Wc(c(this.lng,-180,180),this.lat)},Wc.prototype.toArray=function(){return[this.lng,this.lat]},Wc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Wc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return 6371008.8*Math.acos(Math.min(i,1))},Wc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Yc(new Wc(this.lng-r,this.lat-e),new Wc(this.lng+r,this.lat+e))},Wc.convert=function(t){if(t instanceof Wc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Wc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Wc(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var Zc=2*Math.PI*6371008.8;function Xc(t){return Zc*Math.cos(t*Math.PI/180)}function Jc(t){return(180+t)/360}function Kc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Qc(t,e){return t/Xc(e)}function $c(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var tu=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};tu.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Wc.convert(t);return new tu(Jc(r.lng),Kc(r.lat),Qc(e,r.lat))},tu.prototype.toLngLat=function(){return new Wc(360*this.x-180,$c(this.y))},tu.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Xc($c(e));var t,e},tu.prototype.meterInMercatorCoordinateUnits=function(){return 1/Zc*(t=$c(this.y),1/Math.cos(t*Math.PI/180));var t};var eu=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=iu(0,t,t,e,r)};eu.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},eu.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Gc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Gc(256*(r+1),256*(n+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,i=\"\",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(\"tms\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",l).replace(\"{bbox-epsg-3857}\",s)},eu.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new i(8192*(t.x*e-this.x),8192*(t.y*e-this.y))},eu.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var ru=function(t,e){this.wrap=t,this.canonical=e,this.key=iu(t,e.z,e.z,e.x,e.y)},nu=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new eu(r,+n,+i),this.key=iu(e,t,r,n,i)};function iu(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}nu.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},nu.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new nu(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new nu(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},nu.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?iu(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):iu(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},nu.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},nu.prototype.children=function(t){if(this.overscaledZ>=t)return[new nu(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new nu(e,this.wrap,e,r,n),new nu(e,this.wrap,e,r+1,n),new nu(e,this.wrap,e,r,n+1),new nu(e,this.wrap,e,r+1,n+1)]},nu.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},nu.prototype.wrapped=function(){return new nu(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.unwrapTo=function(t){return new nu(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},nu.prototype.toUnwrapped=function(){return new ru(this.wrap,this.canonical)},nu.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},nu.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new tu(t.x-this.wrap,t.y))},Nn(\"CanonicalTileID\",eu),Nn(\"OverscaledTileID\",nu,{omit:[\"posMatrix\"]});var au=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return _('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};au.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return(\"terrarium\"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},au.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},au.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},au.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},au.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},au.prototype.getPixels=function(){return new Eo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},au.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,c=a;c<o;c++)for(var u=n;u<i;u++)this.data[this._idx(u,c)]=t.data[this._idx(u+s,c+l)]},Nn(\"DEMData\",au);var ou=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};ou.prototype.encode=function(t){return this._stringToNumber[t]},ou.prototype.decode=function(t){return this._numberToString[t]};var su=function(t,e,r,n,i){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},lu={geometry:{configurable:!0}};lu.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},lu.geometry.set=function(t){this._geometry=t},su.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t},Object.defineProperties(su.prototype,lu);var cu=function(){this.state={},this.stateChanges={},this.deletedStates={}};cu.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},u(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r){this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]}},cu.prototype.removeFeatureState=function(t,e,r){if(!(null===this.deletedStates[t])){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e){if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null}else this.deletedStates[t]=null}},cu.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=u({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},cu.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},cu.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),u(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var f=0,h=Object.keys(this.deletedStates[o][c]);f<h.length;f+=1){var p=h[f];delete this.state[o][c][p]}s[c]=this.state[o][c]}r[o]=r[o]||{},u(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t){t[d].setFeatureState(r,e)}};var uu=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new zn(8192,16,0),this.grid3D=new zn(8192,16,0),this.featureIndexArray=new fa,this.promoteId=e};function fu(t,e,r,n,i){return v(t,(function(t,a){var o=e instanceof _i?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function hu(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function pu(t,e){return e-t}uu.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],f=0;f<c.length;f++){var h=c[f];u[0]=Math.min(u[0],h.x),u[1]=Math.min(u[1],h.y),u[2]=Math.max(u[2],h.x),u[3]=Math.max(u[3],h.y)}u[0]<8192&&u[1]<8192&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},uu.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Ls.VectorTile(new al(this.rawTileData)).layers,this.sourceLayerCoder=new ou(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},uu.prototype.query=function(t,e,r,n){var a=this;this.loadVTLayers();for(var o=t.params||{},s=8192/t.tileSize/t.scale,l=sn(o.filter),c=t.queryGeometry,u=t.queryPadding*s,f=hu(c),h=this.grid.query(f.minX-u,f.minY-u,f.maxX+u,f.maxY+u),p=hu(t.cameraQueryGeometry),d=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(function(e,r,n,a){return function(t,e,r,n,a){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&a>=l.y)return!0}var c=[new i(e,r),new i(e,a),new i(n,a),new i(n,r)];if(t.length>2)for(var u=0,f=c;u<f.length;u+=1){if(io(t,f[u]))return!0}for(var h=0;h<t.length-1;h++){if(ao(t[h],t[h+1],c))return!0}return!1}(t.cameraQueryGeometry,e-u,r-u,n+u,a+u)})),m=0,g=d;m<g.length;m+=1){var v=g[m];h.push(v)}h.sort(pu);for(var y,x={},b=function(i){var u=h[i];if(u!==y){y=u;var f=a.featureIndexArray.get(u),p=null;a.loadMatchingFeature(x,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=Ya(e)),r.queryIntersectsFeature(c,e,n,p,a.z,t.transform,s,t.pixelPosMatrix)}))}},_=0;_<h.length;_++)b(_);return x},uu.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,c,u){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new pi(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),m=0;m<f.length;m++){var g=f[m];if(!(a&&a.indexOf(g)<0)){var v=s[g];if(v){var y={};void 0!==d&&c&&(y=c.getState(v.sourceLayer||\"_geojsonTileLayer\",d));var x=l[g];x.paint=fu(x.paint,v.paint,p,y,o),x.layout=fu(x.layout,v.layout,p,y,o);var b=!u||u(p,v,y);if(b){var _=new su(p,this.z,this.x,this.y,d);_.layer=x;var w=t[g];void 0===w&&(w=t[g]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},uu.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var c=sn(i),u=0,f=t;u<f.length;u+=1){var h=f[u];this.loadMatchingFeature(l,r,n,h,c,a,o,s,e)}return l},uu.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1){if(t===i[n])return!0}return!1},uu.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n=\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e];\"boolean\"==typeof(r=t.properties[n])&&(r=Number(r))}return r},Nn(\"FeatureIndex\",uu,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var du=function(t,e){this.tileID=t,this.uid=h(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};du.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<R.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},du.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},du.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof Mc){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof Mc&&o.hasRTLText){this.hasRTLText=!0,hi.isLoading()||hi.isLoaded()||\"deferred\"!==ui()||fi();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new na},du.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},du.prototype.getBucket=function(t){return this.buckets[t.id]},du.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Vc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Vc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},du.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},du.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},du.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:\"\",a=n._geojsonTileLayer||n[i];if(a)for(var o=sn(e&&e.filter),s=this.tileID.canonical,l=s.z,c=s.x,u=s.y,f={z:l,x:c,y:u},h=0;h<a.length;h++){var p=a.feature(h);if(o.filter(new pi(this.tileID.overscaledZ),p)){var d=r.getId(p,i),m=new su(p,l,c,u,d);m.tile=f,t.push(m)}}}},du.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},du.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},du.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=A(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},du.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},du.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},du.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},du.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<R.now()},du.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},du.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=R.now()+t},du.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){r[i[n]]=!0}this.dependencies[t]=r},du.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1){if(a[s[o]])return!0}}return!1};var 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r},t.makeRequest=yt,t.mapObject=v,t.mercatorXfromLng=Jc,t.mercatorYfromLat=Kc,t.mercatorZfromAltitude=Qc,t.mul=mo,t.multiply=po,t.mvt=Ls,t.normalize=function(t,e){var r=e[0],n=e[1],i=e[2],a=r*r+n*n+i*i;return a>0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t},t.number=qe,t.offscreenCanvasSupported=pt,t.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t},t.parseGlyphPBF=function(t){return new al(t).readFields(Tl,[])},t.pbf=al,t.performSymbolLayout=function(t,e,r,n,i,a,o){t.createArrays();var s=512*t.overscaling;t.tilePixelRatio=8192/s,t.compareText={},t.iconsNeedLinear=!1;var l=t.layers[0].layout,c=t.layers[0]._unevaluatedLayout._values,u={};if(\"composite\"===t.textSizeData.kind){var f=t.textSizeData,h=f.minZoom,p=f.maxZoom;u.compositeTextSizes=[c[\"text-size\"].possiblyEvaluate(new 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r=0;r<e.length;r+=3)t.minX=Math.min(t.minX,e[r]),t.minY=Math.min(t.minY,e[r+1]),t.maxX=Math.max(t.maxX,e[r]),t.maxY=Math.max(t.maxY,e[r+1])}function tt(t,e,r,n){if(e.geometry){var i=e.geometry.coordinates,a=e.geometry.type,o=Math.pow(r.tolerance/((1<<r.maxZoom)*r.extent),2),s=[],l=e.id;if(r.promoteId?l=e.properties[r.promoteId]:r.generateId&&(l=n||0),\"Point\"===a)et(i,s);else if(\"MultiPoint\"===a)for(var c=0;c<i.length;c++)et(i[c],s);else if(\"LineString\"===a)rt(i,s,o,!1);else if(\"MultiLineString\"===a){if(r.lineMetrics){for(c=0;c<i.length;c++)s=[],rt(i[c],s,o,!1),t.push(Q(l,\"LineString\",s,e.properties));return}nt(i,s,o,!1)}else if(\"Polygon\"===a)nt(i,s,o,!0);else{if(\"MultiPolygon\"!==a){if(\"GeometryCollection\"===a){for(c=0;c<e.geometry.geometries.length;c++)tt(t,{id:l,geometry:e.geometry.geometries[c],properties:e.properties},r,n);return}throw new Error(\"Input data is not a valid GeoJSON object.\")}for(c=0;c<i.length;c++){var 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r=[],n=0;n<t.length;n++){var i,a=t[n],o=a.type;if(\"Point\"===o||\"MultiPoint\"===o||\"LineString\"===o)i=mt(a.geometry,e);else if(\"MultiLineString\"===o||\"Polygon\"===o){i=[];for(var s=0;s<a.geometry.length;s++)i.push(mt(a.geometry[s],e))}else if(\"MultiPolygon\"===o)for(i=[],s=0;s<a.geometry.length;s++){for(var l=[],c=0;c<a.geometry[s].length;c++)l.push(mt(a.geometry[s][c],e));i.push(l)}r.push(Q(a.id,o,i,a.tags))}return r}function mt(t,e){var r=[];r.size=t.size,void 0!==t.start&&(r.start=t.start,r.end=t.end);for(var n=0;n<t.length;n+=3)r.push(t[n]+e,t[n+1],t[n+2]);return r}function gt(t,e){if(t.transformed)return t;var r,n,i,a=1<<t.z,o=t.x,s=t.y;for(r=0;r<t.features.length;r++){var l=t.features[r],c=l.geometry,u=l.type;if(l.geometry=[],1===u)for(n=0;n<c.length;n+=2)l.geometry.push(vt(c[n],c[n+1],e,a,o,s));else for(n=0;n<c.length;n++){var f=[];for(i=0;i<c[n].length;i+=2)f.push(vt(c[n][i],c[n][i+1],e,a,o,s));l.geometry.push(f)}}return t.transformed=!0,t}function 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u={},e.tags)u[f]=e.tags[f];u.mapbox_clip_start=i.start/i.size,u.mapbox_clip_end=i.end/i.size}var h={geometry:o,type:\"Polygon\"===a||\"MultiPolygon\"===a?3:\"LineString\"===a||\"MultiLineString\"===a?2:1,tags:u};null!==e.id&&(h.id=e.id),t.features.push(h)}}function bt(t,e,r,n,i,a){var o=n*n;if(n>0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n<i;a=n,n+=2)r+=(t[n]-t[a])*(t[n+1]+t[a+1]);if(r>0===e)for(n=0,i=t.length;n<i/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[i-2-n],t[n+1]=t[i-1-n],t[i-2-n]=o,t[i-1-n]=s}}(s,a),t.push(s)}}function _t(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time(\"preprocess data\"),e.maxZoom<0||e.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(e.promoteId&&e.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n<t.features.length;n++)tt(r,t.features[n],e,n);else\"Feature\"===t.type?tt(r,t,e):tt(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=ot(t,1,-1-r,r,0,-1,2,e),a=ot(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=ot(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=dt(i,1).concat(n)),a&&(n=n.concat(dt(a,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}function wt(t,e,r){return 32*((1<<t)*r+e)+t}function Tt(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}U.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(H(t[l],l));this.trees[i+1]=new N(s,X,J,a,Float32Array),r&&console.timeEnd(o);for(var c=i;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new N(s,X,J,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",c,s.length,+Date.now()-u)}return r&&console.timeEnd(\"total time\"),this},U.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,f=l.range(Y(r),W(a),Y(i),W(n));u<f.length;u+=1){var h=f[u],p=l.points[h];c.push(p.numPoints?q(p):this.points[p.index])}return c},U.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,c=i.within(a.x,a.y,o);l<c.length;l+=1){var u=c[l],f=i.points[u];f.parentId===t&&s.push(f.numPoints?q(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},U.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},U.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,c=(r+1+s)/i,u={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,c),n.points,e,r,i,u),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,c),n.points,i,r,i,u),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,c),n.points,-1,r,i,u),u.features.length?u:null},U.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},U.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},U.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c=l.numPoints,u={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:c?G(l):this.points[l.index].properties},f=void 0;c?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(u.id=f),a.features.push(u)}},U.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},U.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=i/(a*Math.pow(2,e)),l=0;l<t.length;l++){var c=t[l];if(!(c.zoom<=e)){c.zoom=e;for(var u=this.trees[e+1],f=u.within(c.x,c.y,s),h=c.numPoints||1,p=c.x*h,d=c.y*h,m=o&&h>1?this._map(c,!0):null,g=(l<<5)+(e+1)+this.points.length,v=0,y=f;v<y.length;v+=1){var x=y[v],b=u.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,h+=_,b.parentId=g,o&&(m||(m=this._map(c,!0)),o(m,this._map(b)))}}1===h?r.push(c):(c.parentId=g,r.push(V(p/h,d/h,g,h,m)))}}return r},U.prototype._getOriginId=function(t){return t-this.points.length>>5},U.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},U.prototype._map=function(t,e){if(t.numPoints)return e?Z({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?Z({},n):n},_t.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},_t.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,f=wt(e,r,n),h=this.tiles[f];if(!h&&(c>1&&console.time(\"creation\"),h=this.tiles[f]=yt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){c>1&&console.time(\"clipping\");var m,g,v,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;m=g=v=y=null,x=ot(t,u,r-_,r+T,0,h.minX,h.maxX,l),b=ot(t,u,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(m=ot(x,u,n-_,n+T,1,h.minY,h.maxY,l),g=ot(x,u,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(v=ot(b,u,n-_,n+T,1,h.minY,h.maxY,l),y=ot(b,u,n+w,n+k,1,h.minY,h.maxY,l),b=null),c>1&&console.timeEnd(\"clipping\"),s.push(m||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(v||[],e+1,2*r+1,2*n),s.push(y||[],e+1,2*r+1,2*n+1)}}},_t.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=wt(t,e=(e%o+o)%o,r);if(this.tiles[s])return gt(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,c=t,u=e,f=r;!l&&c>0;)c--,u=Math.floor(u/2),f=Math.floor(f/2),l=this.tiles[wt(c,u,f)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",c,u,f),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,c,u,f,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?gt(this.tiles[s],i):null):null};var kt=function(e){function r(t,r,n,i){e.call(this,t,r,n,Tt),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));f(o,!0);try{e._geoJSONIndex=n.cluster?new U(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c<u.length;c+=1){var f=u[c],h=n[f],p=h[0],d=h[1],m=t.createExpression(d),g=t.createExpression(\"string\"==typeof p?[p,[\"accumulated\"],[\"get\",f]]:p);i[f]=m.value,a[f]=g.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var a=n[r];e[a]=i[a].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new _t(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var s={};if(i){var l=i.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)}))}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON 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t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),i=[],a=0;a<r.length;a++)i.push(new t.Point(r[a].clientX-n.left-e.clientLeft,r[a].clientY-n.top-e.clientTop));return i},r.mouseButton=function(e){return void 0!==t.window.InstallTrigger&&2===e.button&&e.ctrlKey&&t.window.navigator.platform.toUpperCase().indexOf(\"MAC\")>=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e<r.length;e+=1){var n=r[e],i=n.ids,a=n.callback;this._notify(i,a)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchX\" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchY\" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"content\" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];if(a[0]<r||a[1]<a[0]||e<a[1])return!1;r=a[1]}return!0},r.prototype._validateContent=function(t,e){return!t||4===t.length&&(!(t[0]<0||e.data.width<t[0])&&(!(t[1]<0||e.data.height<t[1])&&(!(t[2]<0||e.data.width<t[2])&&(!(t[3]<0||e.data.height<t[3])&&(!(t[2]<t[0])&&!(t[3]<t[1]))))))},r.prototype.updateImage=function(t,e){var r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.images[a]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event(\"styleimagemissing\",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,c=l.x+1,u=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:c,y:u-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:c-1,y:u},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c+h,y:u},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];f(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=g,d=g,m=1e20;function g(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\"sans-serif\",this.fontWeight=a||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function v(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(y(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(y(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function y(t,e,r,n,i){r[0]=0,n[0]=-m,n[1]=+m;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+m}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}g.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?m:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?m:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(v(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),v(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1){(0,o[i])(t,e)}delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,c=o.glyph;(n[s]||(n[s]={}))[l]=c&&{id:c.id,bitmap:c.bitmap.clone(),metrics:c.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,\"-transition\")?this._transitionable.setTransition(n.slice(0,-\"-transition\".length),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),T=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};T.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},T.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var c=t[l];i=s*r,a=(s+=c)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===c})}return n},T.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=void 0,d=i/r*(n+1);if(l.isDash){var m=n-Math.abs(d);p=Math.sqrt(h*h+m*m)}else p=n-Math.sqrt(h*h+d*d);this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=l.isDash?h:-h;this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var c={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,c},T.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var k=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name=\"Worker \"+a,this.actors.push(s)}};function A(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}k.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},k.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},k.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},k.Actor=t.Actor;var M=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};M.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},M.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var S=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=A(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new M(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),E=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=A(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new M(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(i)e.state=\"errored\",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(E),C=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var c=i-r,u=a-n,f=Math.max(c,u),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var O=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var 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e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}},e}(_t),Tt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(_t),kt=function(t,e,r,n){this.context=t,this.width=e,this.height=r;var i=t.gl,a=this.framebuffer=i.createFramebuffer();this.colorAttachment=new wt(t,a),n&&(this.depthAttachment=new Tt(t,a))};kt.prototype.destroy=function(){var t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r)}t.deleteFramebuffer(this.framebuffer)};var At=function(t,e,r){this.func=t,this.mask=e,this.range=r};At.ReadOnly=!1,At.ReadWrite=!0,At.disabled=new At(519,At.ReadOnly,[0,1]);var Mt=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Mt.disabled=new Mt({func:519,mask:0},0,0,7680,7680,7680);var St=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};St.disabled=new St(St.Replace=[1,0],t.Color.transparent,[!1,!1,!1,!1]),St.unblended=new St(St.Replace,t.Color.transparent,[!0,!0,!0,!0]),St.alphaBlended=new St([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Et=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Et.disabled=new Et(!1,1029,2305),Et.backCCW=new Et(!0,1029,2305);var Lt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new q(this),this.clearDepth=new G(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new Z(this),this.stencilMask=new X(this),this.stencilFunc=new J(this),this.stencilOp=new K(this),this.stencilTest=new Q(this),this.depthRange=new $(this),this.depthTest=new tt(this),this.depthFunc=new et(this),this.blend=new rt(this),this.blendFunc=new nt(this),this.blendColor=new it(this),this.blendEquation=new at(this),this.cullFace=new ot(this),this.cullFaceSide=new st(this),this.frontFace=new lt(this),this.program=new ct(this),this.activeTexture=new ut(this),this.viewport=new ft(this),this.bindFramebuffer=new ht(this),this.bindRenderbuffer=new pt(this),this.bindTexture=new dt(this),this.bindVertexBuffer=new mt(this),this.bindElementBuffer=new gt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new vt(this),this.pixelStoreUnpack=new yt(this),this.pixelStoreUnpackPremultiplyAlpha=new xt(this),this.pixelStoreUnpackFlipY=new bt(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\")};Lt.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Lt.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Lt.prototype.createIndexBuffer=function(t,e){return new j(this,t,e)},Lt.prototype.createVertexBuffer=function(t,e,r){return new V(this,t,e,r)},Lt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Lt.prototype.createFramebuffer=function(t,e,r){return new kt(this,t,e,r)},Lt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Lt.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Lt.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Lt.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Lt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,St.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Lt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ct=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on(\"error\",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new D[r.type](e,r,n,i);if(a.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+a.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],a),a}(r,n,i,this),this._tiles={},this._cache=new N(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\"loading\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state=\"errored\",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(It(this._source.type)){for(var c={},u={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],m=this._tiles[p];if(m&&!(m.fadeEndTime&&m.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),c[g.tileID.key]=g.tileID),u[p]=d}}for(var v in this._retainLoadedChildren(u,a,s,l),c)l[v]||(this._coveredTiles[v]=!0,l[v]=c[v])}for(var y in l)this._tiles[y].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,c=t;l<c.length;l+=1){var u=c[l],f=this._addTile(u);n[u.key]=u,f.hasData()||e<this._source.maxzoom&&(s[u.key]=u)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],m=this._tiles[d.key];if(!m.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],v=this.getTile(g);if(v&&v.hasData()){n[g.key]=g;continue}}else{var y=d.children(this._source.maxzoom);if(n[y[0].key]&&n[y[1].key]&&n[y[2].key]&&n[y[3].key])continue}for(var x=m.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(m=this.getTile(_))&&x&&(m=this._addTile(_)),m&&(n[_.key]=_,x=m.wasRequested(),m.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\"expired\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,m=0,g=c;m<g.length;m+=1){var v=g[m];f=Math.min(f,v.x),h=Math.min(h,v.y),p=Math.max(p,v.x),d=Math.max(d,v.y)}for(var y=function(e){var n=i._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,m=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/m,v=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(v[0].x-g<t.EXTENT&&v[0].y-g<t.EXTENT&&v[1].x+g>=0&&v[1].y+g>=0){var y=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:m})}}},x=0;x<u.length;x++)y(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(It(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles){this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\")}this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function Pt(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function It(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function Ot(){return new t.window.Worker(Xi.workerUrl)}Ct.maxOverzooming=10,Ct.maxUnderzooming=3;var zt=\"mapboxgl_preloaded_worker_pool\",Dt=function(){this.active={}};Dt.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Dt.workerCount;)this.workers.push(new Ot);return this.active[t]=!0,this.workers.slice()},Dt.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Dt.prototype.isPreloaded=function(){return!!this.active[zt]},Dt.prototype.numActive=function(){return Object.keys(this.active).length};var Rt,Ft=Math.floor(t.browser.hardwareConcurrency/2);function Bt(){return Rt||(Rt=new Dt),Rt}function Nt(e,r){var n={};for(var i in e)\"ref\"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function jt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Nt(t[n],e[t[n].ref]));return t}Dt.workerCount=Math.max(Math.min(Ft,6),1);var Ut={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function Vt(t,e,r){r.push({command:Ut.addSource,args:[t,e[t]]})}function Ht(t,e,r){e.push({command:Ut.removeSource,args:[t]}),r[t]=!0}function qt(t,e,r,n){Ht(t,r,n),Vt(t,e,r)}function Gt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Yt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Wt(t){return t.id}function Zt(t,e){return t[e.id]=e,t}function Xt(e,r){if(!e)return[{command:Ut.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ut.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ut.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ut.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ut.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ut.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ut.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ut.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ut.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ut.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Ht(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||(\"geojson\"===e[a].type&&\"geojson\"===r[a].type&&Gt(e,r,a)?n.push({command:Ut.setGeoJSONSourceData,args:[a,r[a].data]}):qt(a,r,n,i)):Vt(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:Ut.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,c,u,f=(e=e||[]).map(Wt),h=r.map(Wt),p=e.reduce(Zt,{}),d=r.reduce(Zt,{}),m=f.slice(),g=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:Ut.removeLayer,args:[o]}),m.splice(m.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],m[m.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:Ut.removeLayer,args:[o]}),m.splice(m.lastIndexOf(o,m.length-a),1)):a++,c=m[m.length-i],n.push({command:Ut.addLayer,args:[d[o],c]}),m.splice(m.length-i,0,o),g[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(u in Yt(s.layout,l.layout,n,o,null,Ut.setLayoutProperty),Yt(s.paint,l.paint,n,o,null,Ut.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ut.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ut.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}));for(u in l)l.hasOwnProperty(u)&&!s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:Ut.removeLayer,args:[o]}),c=m[m.lastIndexOf(o)+1],n.push({command:Ut.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:Ut.setStyle,args:[r]}]}return n}var Jt=function(t,e){this.reset(t,e)};Jt.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},Jt.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Kt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function Qt(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function $t(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function te(e,r){var n=[e.x,e.y,0,1];fe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ee(t,e){return.5+t/e*.5}function re(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ne(e,r,n,i,a,o,s,l){var c=i?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,m=n.transform.width/n.transform.height,g=!1,v=0;v<d.length;v++){var y=d.get(v);if(y.hidden||y.writingMode===t.WritingMode.vertical&&!g)ue(y.numGlyphs,h);else{g=!1;var x=[y.anchorX,y.anchorY,0,1];if(t.transformMat4(x,x,r),re(x,f)){var b=x[3],_=ee(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(c,u,y),T=s?w/_:w*_,k=new t.Point(y.anchorX,y.anchorY),A=te(k,a).point,M={},S=oe(y,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,m);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&oe(y,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,m).notEnoughRoom)&&ue(y.numGlyphs,h)}else ue(y.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function ie(t,e,r,n,i,a,o,s,l,c,u){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),m=e.getoffsetX(f-1),g=le(t*d,r,n,i,a,o,s.segment,h,p,l,c,u);if(!g)return null;var v=le(t*m,r,n,i,a,o,s.segment,h,p,l,c,u);return v?{first:g,last:v}:null}function ae(e,r,n,i){if(e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i)return{useVertical:!0};return(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function oe(e,r,n,i,a,o,s,l,c,u,f,h,p,d){var m,g=r/24,v=e.lineOffsetX*g,y=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=ie(g,l,v,y,n,f,h,e,c,o,p);if(!w)return{notEnoughRoom:!0};var T=te(w.first.point,s).point,k=te(w.last.point,s).point;if(i&&!n){var A=ae(e.writingMode,T,k,d);if(A)return A}m=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)m.push(le(g*l.getoffsetX(M),v,y,n,f,h,e.segment,b,_,c,o,p));m.push(w.last)}else{if(i&&!n){var S=te(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(c.getx(E),c.gety(E)),C=te(L,a),P=C.signedDistanceFromCamera>0?C.point:se(h,L,S,1,a),I=ae(e.writingMode,S,P,d);if(I)return I}var O=le(g*l.getoffsetX(e.glyphStartIndex),v,y,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!O)return{notEnoughRoom:!0};m=[O]}for(var z=0,D=m;z<D.length;z+=1){var R=D[z];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function se(t,e,r,n,i){var a=te(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function le(e,r,n,i,a,o,s,l,c,u,f,h){var p=i?e-r:e+r,d=p>0?1:-1,m=0;i&&(d*=-1,m=Math.PI),d<0&&(m+=Math.PI);for(var g=d>0?l+s:l+s+1,v=a,y=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)<l||g>=c)return null;if(y=v,w.push(v),void 0===(v=h[g])){var T=new t.Point(u.getx(g),u.gety(g)),k=te(T,f);if(k.signedDistanceFromCamera>0)v=h[g]=k.point;else{var A=g-d;v=se(0===x?o:new t.Point(u.getx(A),u.gety(A)),T,y,_-x+1,f)}}x+=b,b=y.dist(v)}var M=(_-x)/b,S=v.sub(y),E=S.mult(M)._add(y);E._add(S._unit()._perp()._mult(n*d));var L=m+Math.atan2(v.y-y.y,v.x-y.x);return w.push(E),{point:E,angle:L,path:w}}Kt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Kt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Kt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Kt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Kt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Kt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var c=this.circles[3*l],u=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:c-f,y1:u-f,x2:c+f,y2:u+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,a),i?o.length>0:o},Kt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var c=[],u={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,c,u,i),n?c.length>0:c},Kt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Kt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Kt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Kt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,c=this.boxCells[i];if(null!==c)for(var u=this.bboxes,f=0,h=c;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=u[d+2]&&e<=u[d+3]&&r>=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var m=this.circleCells[i];if(null!==m)for(var g=this.circles,v=0,y=m;v<y.length;v+=1){var x=y[v];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(g[b],g[b+1],g[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=g[b],w=g[b+1],T=g[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Kt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[i];if(null!==u)for(var f=this.bboxes,h=0,p=u;h<p.length;h+=1){var d=p[h];if(!c.box[d]){c.box[d]=!0;var m=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[m+0],f[m+1],f[m+2],f[m+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var v=this.circles,y=0,x=g;y<x.length;y+=1){var b=x[y];if(!c.circle[b]){c.circle[b]=!0;var _=3*b;if(this._circlesCollide(v[_],v[_+1],v[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Kt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=u;h++)for(var p=c;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Kt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Kt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Kt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Kt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var f=l-s,h=u-c;return f*f+h*h<=r*r};var ce=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ue(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(ce,3*n)}}function fe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var he=function(t,e,r){void 0===e&&(e=new Kt(t.width+200,t.height+200,25)),void 0===r&&(r=new Kt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+100,this.screenBottomBoundary=t.height+100,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function pe(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}he.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,c=t.x2*o+a.point.x,u=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,i)?{box:[],offscreen:!1}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},he.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,c,u,f,h,p){var d=[],m=new t.Point(r.anchorX,r.anchorY),g=te(m,o),v=ee(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),y=(u?a/v:a*v)/t.ONE_EM,x=te(m,s).point,b=ie(y,i,r.lineOffsetX*y,r.lineOffsetY*y,!1,x,m,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*v+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new Jt,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var I=1;I<L.path.length;I++)C.push(L.path[I]);var O=2.5*k;if(l){var z=C.map((function(t){return te(t,l)}));C=z.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:z.map((function(t){return t.point}))}var D=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);D=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=D;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V=0;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/O)+1;for(var H=0;H<V;H++){var q=H/Math.max(V-1,1),G=S.lerp(q),Y=G.x+100,W=G.y+100;d.push(Y,W,k,0);var Z=Y-k,X=W-k,J=Y+k,K=W+k;if(T=T&&this.isOffscreen(Z,X,J,K),w=w||this.isInsideGrid(Z,X,J,K),!e&&this.grid.hitTestCircle(Y,W,k,f)&&(_=!0,!c))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!c&&_||!w?[]:d,offscreen:T,collisionDetected:_}},he.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+100,c.y+100);n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y),r.push(u)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var m=d[p],g=m.key;if(void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]={}),!f[g.bucketInstanceId][g.featureIndex]){var v=[new t.Point(m.x1,m.y1),new t.Point(m.x2,m.y1),new t.Point(m.x2,m.y2),new t.Point(m.x1,m.y2)];t.polygonIntersectsPolygon(r,v)&&(f[g.bucketInstanceId][g.featureIndex]=!0,void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]=[]),h[g.bucketInstanceId].push(g.featureIndex))}}return h},he.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},he.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},he.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return fe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+100,(-i[1]/i[3]+1)/2*this.transform.height+100),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},he.prototype.isOffscreen=function(t,e,r,n){return r<100||t>=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},he.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},he.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var de=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};de.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var me=function(t,e,r,n,i){this.text=new de(t?t.text:null,e,r,i),this.icon=new de(t?t.icon:null,e,n,i)};me.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var ge=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},ve=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},ye=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},xe=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function be(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point(s+c[0]*a,l+c[1]*a)}function _e(e,r,n,i,a,o){var s=e.x1,l=e.x2,c=e.y1,u=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:f,anchorPointY:h}}xe.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var we=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new he(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new xe(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Te(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}we.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,c=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),u=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=pe(n,1,this.transform.zoom),m=Qt(f,h,p,this.transform,d),g=null;if(h){var v=$t(f,h,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,v)}this.retainedQueryData[a.bucketInstanceId]=new ye(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var y={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:m,labelToScreenMatrix:g,scale:c,textPixelRatio:u,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,k=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:y})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:y})}},we.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d){var m,g=[f.textOffset0,f.textOffset1],v=be(t,r,n,g,i),y=this.collisionIndex.placeCollisionBox(_e(e,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate);if(d&&0===this.collisionIndex.placeCollisionBox(_e(d,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate).box.length)return;if(y.box.length>0)return this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(m=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:m},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:v,placedGlyphBoxes:y}},we.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,c=a.textLabelPlaneMatrix,u=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,m=a.collisionGroup,g=s.get(\"text-optional\"),v=s.get(\"icon-optional\"),y=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=y&&(x||!o.hasIconData()||v),A=x&&(y||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new ge(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,I=null,O=0,z=0,D=0;a.textFeatureIndex?O=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(O=e.featureIndex),a.verticalTextFeatureIndex&&(z=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length;i+=1){if(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),L&&L.box&&L.box.length)break}else L=r()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,h={box:[],offscreen:!1},p=y?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],v=d>=N.length,k=i.attemptAnchorPlacement(g,t,a,s,c,b,_,f,l,m,v,e,o,n,u);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var H=i.prevPlacement.variableOffsets[e.crossTileID];H&&(i.variableOffsets[e.crossTileID]=H,i.markUsedJustification(o,H.anchor,e,V))}}else{var q=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,y,f,l,m.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return q(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?q(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Y=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get(\"text-padding\"),Z=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(y,G,o.lineVertexArray,o.glyphOffsetArray,Y,l,c,u,n,_,m.predicate,Z,W),T=y||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(D=a.iconFeatureIndex),a.iconBox){var X=function(t){var e=w&&E?_e(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,m.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(I=X(a.verticalIconBox)).box.length>0:(I=X(a.iconBox)).box.length>0,S=S&&I.offscreen}var J=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=v||0===e.numIconVertices;if(J||K?K?J||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&z?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,m.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,m.ID)),M&&I&&i.collisionIndex.insertCollisionBox(I.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,m.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,m.ID),n)){var Q=o.bucketInstanceId,$=i.collisionCircleArrays[Q];void 0===$&&($=i.collisionCircleArrays[Q]=new ve);for(var tt=0;tt<P.circles.length;tt+=4)$.circles.push(P.circles[tt+0]),$.circles.push(P.circles[tt+1]),$.circles.push(P.circles[tt+2]),$.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new ge(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)M(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},we.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var c=l[s];c>=0&&(e.text.placedSymbolArray.get(c).crossTileID=a>=0&&c!==a?0:n.crossTileID)}},we.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},we.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],c=i[s];c?(this.opacities[s]=new me(c,n,l.text,l.icon),r=r||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new me(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var u in i){var f=i[u];if(!this.opacities[u]){var h=new me(f,n,!1,!1);h.isHidden()||(this.opacities[u]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},we.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},we.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new me(null,0,!1,!1,!0),s=a.get(\"text-allow-overlap\"),l=a.get(\"icon-allow-overlap\"),c=a.get(\"text-variable-anchor\"),u=\"map\"===a.get(\"text-rotation-alignment\"),f=\"map\"===a.get(\"text-pitch-alignment\"),h=\"none\"!==a.get(\"icon-text-fit\"),p=new me(null,0,s&&(l||!e.hasIconData()||a.get(\"icon-optional\")),l&&(s||!e.hasTextData()||a.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},m=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,m=a.crossTileID,g=r[m],v=i.opacities[m];g?v=o:v||(v=p,i.opacities[m]=v),r[m]=!0;var y=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(y){var T=Pe(v.text),k=_?Ie:T;d(e.text,s,k);var A=w?Ie:T;d(e.text,l,A);var M=v.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=Pe(v.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:Ie;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=v.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var I=C?Ie:L;d(e.icon,a.numVerticalIconVertices,I),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=v.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var O=e.collisionArrays[n];if(O){var z=new t.Point(0,0);if(O.textBox||O.verticalTextBox){var D=!0;if(c){var R=i.variableOffsets[m];R?(z=be(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),u&&z._rotate(f?i.transform.angle:-i.transform.angle)):D=!1}O.textBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||_,z.x,z.y),O.verticalTextBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||w,z.x,z.y)}var F=Boolean(!w&&O.verticalIconBox);O.iconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,F,h?z.x:0,h?z.y:0),O.verticalIconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,!F,h?z.x:0,h?z.y:0)}}},g=0;g<e.symbolInstances.length;g++)m(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var v=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=v.invProjMatrix,e.placementViewportMatrix=v.viewportMatrix,e.collisionCircleArray=v.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},we.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},we.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},we.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},we.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},we.prototype.setStale=function(){this.stale=!0};var ke=Math.pow(2,25),Ae=Math.pow(2,24),Me=Math.pow(2,17),Se=Math.pow(2,16),Ee=Math.pow(2,9),Le=Math.pow(2,8),Ce=Math.pow(2,1);function Pe(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*ke+e*Ae+r*Me+e*Se+r*Ee+e*Le+r*Ce+e}var Ie=0,Oe=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Oe.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var ze=function(t,e,r,n,i,a,o){this.placement=new we(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};ze.prototype.isDone=function(){return this._done},ze.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Oe(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},ze.prototype.commit=function(t){return this.placement.commit(t),this.placement};var De=512/t.EXTENT/2,Re=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Re.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=De/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Re.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,c=o;l<c.length;l+=1){var u=c[l];if(Math.abs(u.coord.x-s.x)<=n&&Math.abs(u.coord.y-s.y)<=n&&!r[u.crossTileID]){r[u.crossTileID]=!0,a.crossTileID=u.crossTileID;break}}}}};var Fe=function(){this.maxCrossTileID=0};Fe.prototype.generate=function(){return++this.maxCrossTileID};var Be=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Be.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Be.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++){e.symbolInstances.get(n).crossTileID=0}this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var c=o[t.scaledTo(Number(a)).key];c&&c.findMatches(e.symbolInstances,t,i)}}for(var u=0;u<e.symbolInstances.length;u++){var f=e.symbolInstances.get(u);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Re(t,e.symbolInstances,e.bucketInstanceId),!0},Be.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Be.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ne=function(){this.layerIndexes={},this.crossTileIDs=new Fe,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ne.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Be);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,c,this.crossTileIDs)&&(i=!0),a[c.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ne.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var je=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},Ue=t.pick(Ut,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ve=t.pick(Ut,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),He=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a=null;null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}}return e}(),qe=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new k(Bt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new T(256,512),this.crossTileSymbolIndex=new Ne,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast(\"syncRTLPluginState\",r,(function(e,r){if((t.triggerPluginCompletionEvent(e),r)&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var i=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(He,!1)},r.prototype._load=function(e,r){if(!r||!je(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=jt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new w(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,a=e,u())}));function u(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],c=l.width,u=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,m=l.stretchX,g=l.stretchY,v=l.content,y=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,y,{x:f,y:h},{x:0,y:0},{width:c,height:u}),r[s]={data:y,pixelRatio:d,sdf:p,stretchX:m,stretchY:g,content:v}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];\"custom\"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];\"reload\"===o?this._reloadSource(a):\"clear\"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var c=0,u=this._order;c<u.length;c+=1){var f=u[c],h=this._layers[f];h.recalculate(e,this._availableImages),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),je(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=jt(e.layers);var n=Xt(this.serialize(),e).filter((function(t){return!(t.command in Ve)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in Ue)}));if(i.length>0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0)||!this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n)){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ct(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(je(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is requred to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var c=l[s][o];if(c)for(var u=0,f=c;u<f.length;u+=1){var h=f[u];i.push(h)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var m=this._order[d];if(r(m))for(var g=i.length-1;g>=0;g--){var v=i[g].feature;if(n[v.layer.id]<d)break;p.push(v),i.pop()}else for(var y=0,x=t;y<x.length;y+=1){var b=x[y][m];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];i[l.source]=!0}}var c=[];for(var u in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[u]||c.push(F(this.sourceCaches[u],this._layers,this._serializedLayers,e,r,n));return this.placement&&c.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),c=[],u=0,f=Object.keys(l).map(Number);u<f.length;u+=1){var h=f[u];c.push(o[h])}c.sort(B);for(var p=function(){var r=m[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],c=n[a];c.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var u=0,f=c;u<f.length;u+=1){var h=f[u];o.push(h)}}},d=0,m=c;d<m.length;d+=1)p();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=o}))};for(var v in s)g(v);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(c)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&je(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers){this._layers[e].setEventedParent(null)}for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},c=0,u=this._order;c<u.length;c+=1){var f=u[c],h=this._layers[f];if(\"symbol\"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new ze(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var m=0,g=this._order;m<g.length;m+=1){var v=g[m],y=this._layers[v];\"symbol\"===y.type&&this.placement.updateLayerOpacities(y,l[y.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);qe.getSourceType=function(t){return D[t]},qe.setSourceType=function(t,e){D[t]=e},qe.registerForPluginStateChange=t.registerForPluginStateChange;var Ge=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Ye=yr(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\"),We=yr(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Ze=yr(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),Xe=yr(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Je=yr(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Ke=yr(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),Qe=yr(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),$e=yr(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),tr=yr(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),er=yr(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),rr=yr(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),nr=yr(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ir=yr(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ar=yr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),or=yr(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),sr=yr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),lr=yr(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),cr=yr(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),ur=yr(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),fr=yr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define MAX_LINE_DISTANCE 32767.0\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),hr=yr(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),pr=yr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),dr=yr(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),mr=yr(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),gr=yr(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),vr=yr(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function yr(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,i,a){return n[a]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,i,a){var o=\"float\"===i?\"vec2\":\"vec4\",s=a.match(/color/)?\"color\":o;return n[a]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"}))}}var xr=Object.freeze({__proto__:null,prelude:Ye,background:We,backgroundPattern:Ze,circle:Xe,clippingMask:Je,heatmap:Ke,heatmapTexture:Qe,collisionBox:$e,collisionCircle:tr,debug:er,fill:rr,fillOutline:nr,fillOutlinePattern:ir,fillPattern:ar,fillExtrusion:or,fillExtrusionPattern:sr,hillshadePrepare:lr,hillshade:cr,line:ur,lineGradient:fr,linePattern:hr,lineSDF:pr,raster:dr,symbolIcon:mr,symbolSDF:gr,symbolTextAndIcon:vr}),br=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};br.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c<n.length;c++)this.boundPaintVertexBuffers[c]!==n[c]&&(l=!0);var u=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||u?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},br.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var f=l;f<s;f++)u.disableVertexAttribArray(f)}e.enableAttributes(u,t);for(var h=0,p=r;h<p.length;h+=1){p[h].enableAttributes(u,t)}a&&a.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,i);for(var d=0,m=r;d<m.length;d+=1){var g=m[d];g.bind(),g.setVertexAttribPointers(u,t,i)}a&&(a.bind(),a.setVertexAttribPointers(u,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,i)),c.currentNumAttributes=l},br.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var _r=function(t,e,r,n,i){var a=t.gl;this.program=a.createProgram();var o=r?r.defines():[];i&&o.push(\"#define OVERDRAW_INSPECTOR;\");var s=o.concat(Ye.fragmentSource,e.fragmentSource).join(\"\\n\"),l=o.concat(Ye.vertexSource,e.vertexSource).join(\"\\n\"),c=a.createShader(a.FRAGMENT_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(c,s),a.compileShader(c),a.attachShader(this.program,c);var u=a.createShader(a.VERTEX_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(u,l),a.compileShader(u),a.attachShader(this.program,u);for(var f=r?r.layoutAttributes:[],h=0;h<f.length;h++)a.bindAttribLocation(this.program,h,f[h].name);a.linkProgram(this.program),a.deleteShader(u),a.deleteShader(c),this.numAttributes=a.getProgramParameter(this.program,a.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var m=a.getActiveAttrib(this.program,d);m&&(this.attributes[m.name]=a.getAttribLocation(this.program,m.name))}for(var g=a.getProgramParameter(this.program,a.ACTIVE_UNIFORMS),v=0;v<g;v++){var y=a.getActiveUniform(this.program,v);y&&(p[y.name]=a.getUniformLocation(this.program,y.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function wr(t,e,r){var n=1/pe(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}_r.prototype.draw=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m){var g,v=t.gl;if(!this.failedToCreate){for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[v.LINES]=2,g[v.TRIANGLES]=3,g[v.LINE_STRIP]=1,g)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new br)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,m),v.drawElements(e,w.primitiveLength*x,v.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Tr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},kr=function(e,r,n,i,a,o,s){return t.extend(Tr(e,r,n,i),wr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Ar=function(t){return{u_matrix:t}},Mr=function(e,r,n,i){return t.extend(Ar(e),wr(n,r,i))},Sr=function(t,e){return{u_matrix:t,u_world:e}},Er=function(e,r,n,i,a){return t.extend(Mr(e,r,n,i),{u_world:a})},Lr=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=pe(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Cr=function(t,e,r){var n=pe(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Pr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Ir=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Or=function(t){return{u_matrix:t}},zr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:pe(e,1,r),u_intensity:n}};function Dr(e,r){var n=Math.pow(2,r.canonical.z),i=r.canonical.y;return[new t.MercatorCoordinate(0,i/n).toLngLat().lat,new t.MercatorCoordinate(0,(i+1)/n).toLngLat().lat]}var Rr=function(e,r,n){var i=e.transform;return{u_matrix:Ur(e,r,n),u_ratio:1/pe(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Fr=function(e,r,n){return t.extend(Rr(e,r,n),{u_image:0})},Br=function(e,r,n,i){var a=e.transform,o=jr(r,a);return{u_matrix:Ur(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/pe(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Nr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=jr(r,o),c=\"round\"===n.layout.get(\"line-cap\"),u=s.getDash(i.from,c),f=s.getDash(i.to,c),h=u.width*a.fromScale,p=f.width*a.toScale;return t.extend(Rr(e,r,n),{u_patternscale_a:[l/h,-u.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:u.y,u_tex_y_b:f.y,u_mix:a.t})};function jr(t,e){return 1/pe(t,1,e.tileZoom)}function Ur(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Vr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:Hr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Hr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var qr,Gr=function(t,e,r,n,i,a,o,s,l,c){var u=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Yr=function(e,r,n,i,a,o,s,l,c,u,f){var h=a.transform;return t.extend(Gr(e,r,n,i,a,o,s,l,c,u),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Wr=function(e,r,n,i,a,o,s,l,c,u){return t.extend(Yr(e,r,n,i,a,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},Zr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Xr=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,f=u*(n.tileID.canonical.x+n.tileID.wrap*c),h=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/pe(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},Jr={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function Kr(e,r,n,i,a,o,s){for(var l=e.context,c=l.gl,u=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d<i.length;d++){var m=i[d],g=r.getTile(m),v=g.getBucket(n);if(v){var y=m.posMatrix;0===a[0]&&0===a[1]||(y=e.translatePosMatrix(m.posMatrix,g,a,o));var x=s?v.textCollisionBox:v.iconCollisionBox,b=v.collisionCircleArray;if(b.length>0){var _=t.create(),w=y;t.mul(_,v.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,v.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&u.draw(l,c.LINES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,Cr(y,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,P=E.circleArray[C+0],I=E.circleArray[C+1],O=E.circleArray[C+2],z=E.circleArray[C+3];k.emplace(A++,P,I,O,z,0),k.emplace(A++,P,I,O,z,1),k.emplace(A++,P,I,O,z,2),k.emplace(A++,P,I,O,z,3)}(!qr||qr.length<2*h)&&(qr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var D=l.createIndexBuffer(qr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=Pr(N.transform,N.invTransform,e.transform);T.draw(l,c.TRIANGLES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,j,n.id,R,D,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),D.destroy()}}var Qr=t.identity(new Float32Array(16));function $r(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point((l/a+u[0])*o,(c/a+u[1])*o)}function tn(e,r,n,i,a,o,s,l,c,u,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,m={};p.clear();for(var g=0;g<h.length;g++){var v=h.get(g),y=e.allowVerticalPlacement&&!v.placedOrientation,x=v.hidden||!v.crossTileID||y?null:i[v.crossTileID];if(x){var b=new t.Point(v.anchorX,v.anchorY),_=te(b,n?l:s),w=ee(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,u,v)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/c);for(var k=x.width,A=x.height,M=$r(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?te(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&v.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<v.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&v.associatedIconIndex>=0&&(m[v.associatedIconIndex]={shiftedAnchor:S,angle:E})}else ue(v.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var I=C.get(P);if(I.hidden)ue(I.numGlyphs,d);else{var O=m[P];if(O)for(var z=0;z<I.numGlyphs;z++)t.addDynamicAttributes(d,O.shiftedAnchor,O.angle);else ue(I.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function en(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function rn(e,r,n,i,a,o,s,l,c,u,f,h){for(var p=e.context,d=p.gl,m=e.transform,g=\"map\"===l,v=\"map\"===c,y=g&&\"point\"!==n.layout.get(\"symbol-placement\"),x=g&&!v&&!y,b=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),_=e.depthModeForSublayer(0,At.ReadOnly),w=n.layout.get(\"text-variable-anchor\"),T=[],k=0,A=i;k<A.length;k+=1){var M=A[k],S=r.getTile(M),E=S.getBucket(n);if(E){var L=a?E.text:E.icon;if(L&&L.segments.get().length){var C=L.programConfigurations.get(n.id),P=a||E.sdfIcons,I=a?E.textSizeData:E.iconSizeData,O=v||0!==m.pitch,z=e.useProgram(en(P,a,E),C),D=t.evaluateSizeForZoom(I,m.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(a){if(B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText){F=S.imageAtlasTexture.size,j=S.imageAtlasTexture;var V=\"composite\"===I.kind||\"camera\"===I.kind;U=O||e.options.rotating||e.options.zooming||V?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get(\"icon-size\").constantOr(0)||E.iconsNeedLinear;B=S.imageAtlasTexture,N=P||e.options.rotating||e.options.zooming||H||O?d.LINEAR:d.NEAREST,R=S.imageAtlasTexture.size}var q=pe(S,1,e.transform.zoom),G=Qt(M.posMatrix,v,g,e.transform,q),Y=$t(M.posMatrix,v,g,e.transform,q),W=w&&E.hasTextData(),Z=\"none\"!==n.layout.get(\"icon-text-fit\")&&W&&E.hasIconData();y&&ne(E,M.posMatrix,e,a,G,Y,v,u);var X=e.translatePosMatrix(M.posMatrix,S,o,s),J=y||a&&w||Z?Qr:G,K=e.translatePosMatrix(Y,S,o,s,!0),Q=P&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),$={program:z,buffers:L,uniformValues:P?E.iconsInText?Wr(I.kind,D,x,v,e,X,J,K,R,F):Yr(I.kind,D,x,v,e,X,J,K,a,R,!0):Gr(I.kind,D,x,v,e,X,J,K,a,R),atlasTexture:B,atlasTextureIcon:j,atlasInterpolation:N,atlasInterpolationIcon:U,isSDF:P,hasHalo:Q};if(b)for(var tt=0,et=L.segments.get();tt<et.length;tt+=1){var rt=et[tt];T.push({segments:new t.SegmentVector([rt]),sortKey:rt.sortKey,state:$})}else T.push({segments:L.segments,sortKey:0,state:$})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var nt=0,it=T;nt<it.length;nt+=1){var at=it[nt],ot=at.state;if(p.activeTexture.set(d.TEXTURE0),ot.atlasTexture.bind(ot.atlasInterpolation,d.CLAMP_TO_EDGE),ot.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),ot.atlasTextureIcon&&ot.atlasTextureIcon.bind(ot.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),ot.isSDF){var st=ot.uniformValues;ot.hasHalo&&(st.u_is_halo=1,nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,st)),st.u_is_halo=0}nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,ot.uniformValues)}}function nn(t,e,r,n,i,a,o,s,l){var c=n.context,u=c.gl;i.draw(c,u.TRIANGLES,a,o,s,Et.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function an(t,e,r,n,i,a,o){var s,l,c,u,f,h=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),m=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=h.LINES):(l=d?\"fillPattern\":\"fill\",s=h.TRIANGLES);for(var g=0,v=n;g<v.length;g+=1){var y=v[g],x=e.getTile(y);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(m));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&_.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(y.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){u=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];c=\"fillOutlinePattern\"===l&&d?Er(S,t,m,x,E):Sr(S,E)}else u=b.indexBuffer,f=b.segments,c=d?Mr(S,t,m,x):Ar(S);w.draw(t.context,s,i,t.stencilModeForClipping(y),a,Et.disabled,c,r.id,b.layoutVertexBuffer,u,f,r.paint,t.transform.zoom,_)}}}}function on(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,c=r.paint.get(\"fill-extrusion-pattern\"),u=c.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var m=d[p],g=e.getTile(m),v=g.getBucket(r);if(v){var y=v.programConfigurations.get(r.id),x=t.useProgram(u?\"fillExtrusionPattern\":\"fillExtrusion\",y);u&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePaintBuffers(f));var b=c.constantOr(null);if(b&&g.imageAtlas){var _=g.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&y.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(m.posMatrix,g,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),A=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=u?kr(k,t,A,h,m,f,g):Tr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Et.backCCW,M,r.id,v.layoutVertexBuffer,v.indexBuffer,v.segments,r.paint,t.transform.zoom,y)}}}function sn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var c=t.useProgram(\"hillshade\");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var u=function(t,e,r){var n=r.paint.get(\"hillshade-shadow-color\"),i=r.paint.get(\"hillshade-highlight-color\"),a=r.paint.get(\"hillshade-accent-color\"),o=r.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===r.paint.get(\"hillshade-illumination-anchor\")&&(o-=t.transform.angle);var s=!t.options.moving;return{u_matrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped(),s),u_image:0,u_latrange:Dr(t,e.tileID),u_light:[r.paint.get(\"hillshade-exaggeration\"),o],u_shadow:n,u_highlight:i,u_accent:a}}(t,e,r);c.draw(o,s.TRIANGLES,n,i,a,Et.disabled,u,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function ln(e,r,n,i,a,o,s){var l=e.context,c=l.gl,u=r.dem;if(u&&u.data){var f=u.dim,h=u.stride,p=u.getPixels();if(l.activeTexture.set(c.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(c.NEAREST,c.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,c.RGBA,{premultiply:!1}),r.demTexture.bind(c.NEAREST,c.CLAMP_TO_EDGE);l.activeTexture.set(c.TEXTURE0);var m=r.fbo;if(!m){var g=new t.Texture(l,{width:f,height:f,data:null},c.RGBA);g.bind(c.LINEAR,c.CLAMP_TO_EDGE),(m=r.fbo=l.createFramebuffer(f,f,!0)).colorAttachment.set(g.texture)}l.bindFramebuffer.set(m.framebuffer),l.viewport.set([0,0,f,f]),e.useProgram(\"hillshadePrepare\").draw(l,c.TRIANGLES,a,o,s,Et.disabled,function(e,r,n){var i=r.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[i,i],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}}(r.tileID,u,i),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function cn(e,r,n,i,a){var o=i.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),f=a.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var un=new t.Color(1,0,0,1),fn=new t.Color(0,1,0,1),hn=new t.Color(0,0,1,1),pn=new t.Color(1,0,1,1),dn=new t.Color(0,1,1,1);function mn(t){var e=t.transform.padding;gn(t,t.transform.height-(e.top||0),3,un),gn(t,e.bottom||0,3,fn),vn(t,e.left||0,3,hn),vn(t,t.transform.width-(e.right||0),3,pn);var r=t.transform.centerPoint;!function(t,e,r,n){yn(t,e-1,r-10,2,20,n),yn(t,e-10,r-1,20,2,n)}(t,r.x,t.transform.height-r.y,dn)}function gn(t,e,r,n){yn(t,0,e+r/2,t.transform.width,r,n)}function vn(t,e,r,n){yn(t,e-r/2,0,r,t.transform.height,n)}function yn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function xn(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=At.disabled,c=Mt.disabled,u=e.colorModeForRenderPass();i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,c,u,Et.disabled,Ir(o,t.Color.red),\"$debug\",e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var f=r.getTileByID(n.key).latestRawTileData,h=f&&f.byteLength||0,p=Math.floor(h/1024),d=r.getTile(n).tileSize,m=512/Math.min(d,512)*(n.overscaledZ/e.transform.zoom)*.5,g=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(g+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,g+\" \"+p+\"kb\"),s.draw(i,a.TRIANGLES,l,c,St.alphaBlended,Et.disabled,Ir(o,t.Color.transparent,m),\"$debug\",e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var bn={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Mt.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,c=\"map\"===a,u=\"map\"===o,f=0,h=e;f<h.length;f+=1){var p=h[f],d=i.getTile(p),m=d.getBucket(n);if(m&&m.text&&m.text.segments.get().length){var g=m.textSizeData,v=t.evaluateSizeForZoom(g,l.zoom),y=pe(d,1,r.transform.zoom),x=Qt(p.posMatrix,u,c,r.transform,y),b=\"none\"!==n.layout.get(\"icon-text-fit\")&&m.hasIconData();if(v){var _=Math.pow(2,l.zoom-d.tileID.overscaledZ);tn(m,c,u,s,t.symbolSize,l,x,p.posMatrix,_,v,b)}}}}(i,e,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),a),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&rn(e,r,n,i,!1,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),n.layout.get(\"icon-rotation-alignment\"),n.layout.get(\"icon-pitch-alignment\"),n.layout.get(\"icon-keep-upright\"),o,s),0!==n.paint.get(\"text-opacity\").constantOr(1)&&rn(e,r,n,i,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(Kr(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),Kr(e,r,n,i,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var c=e.context,u=c.gl,f=e.depthModeForSublayer(0,At.ReadOnly),h=Mt.disabled,p=e.colorModeForRenderPass(),d=[],m=0;m<i.length;m++){var g=i[m],v=r.getTile(g),y=v.getBucket(n);if(y){var x=y.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:y.layoutVertexBuffer,indexBuffer:y.indexBuffer,uniformValues:Lr(e,g,v,n)};if(l)for(var _=0,w=y.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:y.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,I=S.uniformValues,O=M.segments;L.draw(c,u.TRIANGLES,f,h,p,Et.disabled,I,n.id,C,P,O,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var a=e.context,o=a.gl,s=Mt.disabled,l=new St([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);!function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}}(a,e,n),a.clear({color:t.Color.transparent});for(var c=0;c<i.length;c++){var u=i[c];if(!r.hasRenderableParent(u)){var f=r.getTile(u),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram(\"heatmap\",p),m=e.transform.zoom;d.draw(a,o.TRIANGLES,At.disabled,s,l,Et.disabled,zr(u.posMatrix,f,m,n.paint.get(\"heatmap-intensity\")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(!a)return;n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA));o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,i.TRIANGLES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get(\"heatmap-opacity\")}}(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}(e,n))},line:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==a.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,At.ReadOnly),l=e.colorModeForRenderPass(),c=n.paint.get(\"line-dasharray\"),u=n.paint.get(\"line-pattern\"),f=u.constantOr(1),h=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=f?\"linePattern\":c?\"lineSDF\":h?\"lineGradient\":\"line\",m=e.context,g=m.gl,v=!0;if(h){m.activeTexture.set(g.TEXTURE0);var y=n.gradientTexture;if(!n.gradient)return;y||(y=n.gradientTexture=new t.Texture(m,n.gradient,g.RGBA)),y.bind(g.LINEAR,g.CLAMP_TO_EDGE)}for(var x=0,b=i;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!f||w.patternsLoaded()){var T=w.getBucket(n);if(T){var k=T.programConfigurations.get(n.id),A=e.context.program.get(),M=e.useProgram(d,k),S=v||M.program!==A,E=u.constantOr(null);if(E&&w.imageAtlas){var L=w.imageAtlas,C=L.patternPositions[E.to.toString()],P=L.patternPositions[E.from.toString()];C&&P&&k.setConstantPatternPositions(C,P)}var I=f?Br(e,w,n,p):c?Nr(e,w,n,c,p):h?Fr(e,w,n):Rr(e,w,n);f?(m.activeTexture.set(g.TEXTURE0),w.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),k.updatePaintBuffers(p)):c&&(S||e.lineAtlas.dirty)&&(m.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(m)),M.draw(m,g.TRIANGLES,s,e.stencilModeForClipping(_),l,Et.disabled,I,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,k),v=!1}}}}}},fill:function(e,r,n,i){var a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),c=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===c){var u=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?At.ReadWrite:At.ReadOnly);an(e,r,n,i,u,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var f=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,At.ReadOnly);an(e,r,n,i,f,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var i=r.paint.get(\"fill-extrusion-opacity\");if(0!==i&&\"translucent\"===t.renderPass){var a=new At(t.context.gl.LEQUAL,At.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))on(t,e,r,n,a,Mt.disabled,St.disabled),on(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();on(t,e,r,n,a,Mt.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var i=t.context,a=e.getSource().maxzoom,o=t.depthModeForSublayer(0,At.ReadOnly),s=t.colorModeForRenderPass(),l=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],c=l[0],u=0,f=l[1];u<f.length;u+=1){var h=f[u],p=e.getTile(h);p.needsHillshadePrepare&&\"offscreen\"===t.renderPass?ln(t,p,r,a,o,Mt.disabled,s):\"translucent\"===t.renderPass&&sn(t,p,r,o,c[h.overscaledZ],s)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),c=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),u=c[0],f=c[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,m=f;d<m.length;d+=1){var g=m[d],v=t.depthModeForSublayer(g.overscaledZ-h,1===r.paint.get(\"raster-opacity\")?At.ReadWrite:At.ReadOnly,a.LESS),y=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);y.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(g,0),_=cn(y,b,e,r,t.transform),w=void 0,T=void 0,k=\"nearest\"===r.paint.get(\"raster-resampling\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-y.tileID.overscaledZ),T=[y.tileID.canonical.x*w%1,y.tileID.canonical.y*w%1]):y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Vr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,v,Mt.disabled,l,Et.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,v,u[g.overscaledZ],l,Et.disabled,A,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),i=r.paint.get(\"background-opacity\");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,c=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(c)){var u=!c&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===u){var f=Mt.disabled,h=t.depthModeForSublayer(0,\"opaque\"===u?At.ReadWrite:At.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?\"backgroundPattern\":\"background\"),m=s.coveringTiles({tileSize:l});c&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),v=0,y=m;v<y.length;v+=1){var x=y[v],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=c?Xr(b,i,t,c,{tileID:x,tileSize:l},g):Zr(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Et.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)xn(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Mt.disabled);var o=\"3d\"===i.renderingMode?new At(t.context.gl.LEQUAL,At.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,At.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},_n=function(t,e){this.context=new Lt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ct.maxUnderzooming+Ct.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ne,this.gpuTimers={}};_n.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},_n.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,Ge.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,Ge.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,P.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,Ge.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Mt({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},_n.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,At.disabled,this.stencilClearMode,St.disabled,Et.disabled,Or(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},_n.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(At.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,At.disabled,new Mt({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),St.disabled,Et.disabled,Or(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},_n.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Mt({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Mt({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Mt({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Mt.disabled,e),n]},_n.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){return new St([e.CONSTANT_COLOR,e.ONE],new t.Color(1/8,1/8,1/8,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?St.unblended:St.alphaBlended},_n.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return At.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new At(r||this.context.gl.LEQUAL,e,[n,n])},_n.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},_n.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,c,u={},f={},h={};for(var p in a){var d=a[p];u[p]=d.getVisibleCoordinates(),f[p]=u[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var m=0;m<i.length;m++){var g=i[m];if(this.style._layers[g].is3D()){this.opaquePassCutoff=m;break}}this.renderPass=\"offscreen\";for(var v=0,y=i;v<y.length;v+=1){var x=y[v],b=this.style._layers[x];if(b.hasOffscreenPass()&&!b.isHidden(this.transform.zoom)){var _=f[b.source];(\"custom\"===b.type||_.length)&&this.renderLayer(this,a[b.source],b,_)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=u[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=(\"symbol\"===A.type?h:f)[A.source];this._renderTileClippingMasks(A,u[A.source]),this.renderLayer(this,M,A,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(c&&c.id)&&(c=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<c.getSource().maxzoom)&&(l=c))})),l&&bn.debug(this,l,l.getVisibleCoordinates()));this.options.showPadding&&mn(this),this.context.setDefault()},_n.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),bn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},_n.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},_n.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},_n.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},_n.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},_n.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var c=[a?n[0]:pe(r,n[0],this.transform.zoom),a?n[1]:pe(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},_n.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},_n.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},_n.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},_n.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new _r(this.context,xr[t],e,Jr[t],this._showOverdrawInspector)),this.cache[r]},_n.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},_n.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},_n.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},_n.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var wn=function(t,e){this.points=t,this.planes=e};wn.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new wn(a,o)};var Tn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Tn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new Tn(n,i)},Tn.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},Tn.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},Tn.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var c=Number.MAX_VALUE,u=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];c=Math.min(c,h),u=Math.max(u,h)}if(u<0||c>this.max[l]-this.min[l])return 0}return 1};var kn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n};kn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},kn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},kn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},kn.prototype.clone=function(){return new kn(this.top,this.bottom,this.left,this.right)},kn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var An=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new kn,this._posMatrixCache={},this._alignedPosMatrixCache={}},Mn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};An.prototype.clone=function(){var t=new An(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Mn.minZoom.get=function(){return this._minZoom},Mn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Mn.maxZoom.get=function(){return this._maxZoom},Mn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Mn.minPitch.get=function(){return this._minPitch},Mn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Mn.maxPitch.get=function(){return this._maxPitch},Mn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Mn.renderWorldCopies.get=function(){return this._renderWorldCopies},Mn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Mn.worldSize.get=function(){return this.tileSize*this.scale},Mn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Mn.size.get=function(){return new t.Point(this.width,this.height)},Mn.bearing.get=function(){return-this.angle/Math.PI*180},Mn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Mn.pitch.get=function(){return this._pitch/Math.PI*180},Mn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Mn.fov.get=function(){return this._fov/Math.PI*180},Mn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},Mn.zoom.get=function(){return this._zoom},Mn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},Mn.center.get=function(){return this._center},Mn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Mn.padding.get=function(){return this._edgeInsets.toJSON()},Mn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Mn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},An.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},An.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},An.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},An.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},An.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=wn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var c=function(t){return{aabb:new Tn([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},u=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)u.push(c(-d)),u.push(c(d));for(u.push(c(0));u.length>0;){var m=u.pop(),g=m.x,v=m.y,y=m.fullyVisible;if(!y){var x=m.aabb.intersects(s);if(0===x)continue;y=2===x}var b=m.aabb.distanceX(o),_=m.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-m.zoom)-2;if(m.zoom===h||w>T&&m.zoom>=l)f.push({tileID:new t.OverscaledTileID(m.zoom===h?p:m.zoom,m.wrap,m.zoom,g,v),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-v])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(v<<1)+(k>>1);u.push({aabb:m.aabb.quadrant(k),zoom:m.zoom+1,x:A,y:M,wrap:m.wrap,fullyVisible:y})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},An.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Mn.unmodified.get=function(){return this._unmodified},An.prototype.zoomScale=function(t){return Math.pow(2,t)},An.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},An.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},An.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Mn.point.get=function(){return this.project(this.center)},An.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},An.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},An.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},An.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},An.prototype.coordinateLocation=function(t){return t.toLngLat()},An.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,c=n[1]/a,u=r[2]/i,f=n[2]/a,h=u===f?0:(0-u)/(f-u);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,c,h)/this.worldSize)},An.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},An.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},An.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},An.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},An.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},An.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},An.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<c.y?c.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<c.x?c.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var m=p.y,g=c.y/2;m-g<a&&(i=a+g),m+g>o&&(i=o-g)}if(this.lngRange){var v=p.x,y=c.x/2;v-y<s&&(n=s+y),v+y>l&&(n=l-y)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=u,this._constraining=!1}},An.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,c=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),u=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,u,c),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),m=Math.sin(this.angle),g=s-Math.round(s)+d*h+m*p,v=l-Math.round(l)+d*p+m*h,y=new Float64Array(f);if(t.translate(y,y,[g>.5?g-1:g,v>.5?v-1:v,0]),this.alignedProjMatrix=y,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},An.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},An.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},An.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(An.prototype,Mn);var Sn=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};Sn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},Sn.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},Sn.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),c=this._map.getPitch(),u=\"\";if(u+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||c)&&(u+=\"/\"+Math.round(10*l)/10),c&&(u+=\"/\"+Math.round(c)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===f?(h=!0,e+\"=\"+u):t})).filter((function(t){return t}));return h||p.push(f+\"=\"+u),\"#\"+p.join(\"&\")}return\"#\"+u},Sn.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace(\"#\",\"\");return this._hashName?(n.split(\"&\").map((function(t){return t.split(\"=\")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||\"\").split(\"/\")):n.split(\"/\")},Sn.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},Sn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var En={linearity:.3,easing:t.bezier(0,0,.3,1)},Ln=t.extend({deceleration:2500,maxSpeed:1400},En),Cn=t.extend({deceleration:20,maxSpeed:1400},En),Pn=t.extend({deceleration:1e3,maxSpeed:360},En),In=t.extend({deceleration:1e3,maxSpeed:90},En),On=function(t){this._map=t,this.clear()};function zn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Dn(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}On.prototype.clear=function(){this._inertiaBuffer=[]},On.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},On.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},On.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Dn(r.pan.mag(),o,t.extend({},Ln,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,zn(s,l)}if(r.zoom){var c=Dn(r.zoom,o,Cn);s.zoom=this._map.transform.zoom+c.amount,zn(s,c)}if(r.bearing){var u=Dn(r.bearing,o,Pn);s.bearing=this._map.transform.bearing+t.clamp(u.amount,-179,179),zn(s,u)}if(r.pitch){var f=Dn(r.pitch,o,In);s.pitch=this._map.transform.pitch+f.amount,zn(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Rn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Fn=function(e){function n(n,i,a){var o=\"touchend\"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),c=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),u=i.unproject(c);e.call(this,n,{points:s,point:c,lngLats:l,lngLat:u,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Bn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Nn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Nn.prototype.reset=function(){delete this._mousedownPos},Nn.prototype.wheel=function(t){return this._firePreventable(new Bn(t.type,this._map,t))},Nn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseup=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.dblclick=function(t){return this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseover=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.mouseout=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.touchstart=function(t){return this._firePreventable(new Fn(t.type,this._map,t))},Nn.prototype.touchmove=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchend=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchcancel=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Nn.prototype.isEnabled=function(){return!0},Nn.prototype.isActive=function(){return!1},Nn.prototype.enable=function(){},Nn.prototype.disable=function(){};var jn=function(t){this._map=t};jn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},jn.prototype.mousemove=function(t){this._map.fire(new Rn(t.type,this._map,t))},jn.prototype.mousedown=function(){this._delayContextMenu=!0},jn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Rn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},jn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Rn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},jn.prototype.isEnabled=function(){return!0},jn.prototype.isActive=function(){return!1},jn.prototype.enable=function(){},jn.prototype.disable=function(){};var Un=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Vn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Un.prototype.isEnabled=function(){return!!this._enabled},Un.prototype.isActive=function(){return!!this._active},Un.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Un.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Un.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Un.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,\"translate(\"+a+\"px,\"+s+\"px)\"),this._box.style.width=o-a+\"px\",this._box.style.height=l-s+\"px\"}}},Un.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event(\"boxzoomend\",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent(\"boxzoomcancel\",e)}},Un.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Un.prototype.reset=function(){this._active=!1,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Un.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Hn=function(t){this.reset(),this.numTouches=t.numTouches};Hn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Hn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=Vn(n,r)))},Hn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Vn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Hn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var qn=function(t){this.singleTap=new Hn(t),this.numTaps=t.numTaps,this.reset()};qn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},qn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},qn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},qn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Gn=function(){this._zoomIn=new qn({numTouches:1,numTaps:2}),this._zoomOut=new qn({numTouches:2,numTaps:1}),this.reset()};Gn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Gn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Gn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Gn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Gn.prototype.touchcancel=function(){this.reset()},Gn.prototype.enable=function(){this._enabled=!0},Gn.prototype.disable=function(){this._enabled=!1,this.reset()},Gn.prototype.isEnabled=function(){return this._enabled},Gn.prototype.isActive=function(){return this._active};var Yn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Yn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Yn.prototype._correctButton=function(t,e){return!1},Yn.prototype._move=function(t,e){return{}},Yn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Yn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Yn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Yn.prototype.enable=function(){this._enabled=!0},Yn.prototype.disable=function(){this._enabled=!1,this.reset()},Yn.prototype.isEnabled=function(){return this._enabled},Yn.prototype.isActive=function(){return this._active};var Wn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Yn),Zn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Xn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Jn=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};Jn.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},Jn.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},Jn.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},Jn.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Vn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var c=i[l],u=this._touches[l];u&&(a._add(c),o._add(c.sub(u)),s++,i[l]=c)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var Kn=function(){this.reset()};function Qn(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}Kn.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},Kn.prototype._start=function(t){},Kn.prototype._move=function(t,e,r){return{}},Kn.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},Kn.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=Qn(r,e,i),s=Qn(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},Kn.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=Qn(n,e,a),l=Qn(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},Kn.prototype.touchcancel=function(){this.reset()},Kn.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},Kn.prototype.disable=function(){this._enabled=!1,this.reset()},Kn.prototype.isEnabled=function(){return this._enabled},Kn.prototype.isActive=function(){return this._active};function $n(t,e){return Math.log(t/e)/Math.LN2}var ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs($n(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:$n(this._distance,r),pinchAround:e}},e}(Kn);function ei(t,e){return 180*t.angleWith(e)/Math.PI}var ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:ei(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=ei(t,this._startVector);return Math.abs(r)<e},e}(Kn);function ni(t){return Math.abs(t.y)>Math.abs(t.x)}var ii=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ni(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid){this._lastPoints=t,this._active=!0;return{pitchDelta:-.5*((n.y+i.y)/2)}}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ni(t)&&ni(e)&&a}},e}(Kn),ai={panStep:100,bearingStep:15,pitchStep:10},oi=function(){var t=ai;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function si(t){return t*(2-t)}oi.prototype.reset=function(){this._active=!1},oi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:si,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},oi.prototype.enable=function(){this._enabled=!0},oi.prototype.disable=function(){this._enabled=!1,this.reset()},oi.prototype.isEnabled=function(){return this._enabled},oi.prototype.isActive=function(){return this._active};var li=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};li.prototype.setZoomRate=function(t){this._defaultZoomRate=t},li.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},li.prototype.isEnabled=function(){return!!this._enabled},li.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},li.prototype.isZooming=function(){return!!this._zooming},li.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},li.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},li.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%4.000244140625==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},li.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},li.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},li.prototype.renderFrame=function(){return this._onScrollFrame()},li.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,c=this._easing,u=!1;if(\"wheel\"===this._type&&l&&c){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=c(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},li.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},li.prototype.reset=function(){this._active=!1};var ci=function(t,e){this._clickZoom=t,this._tapZoom=e};ci.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},ci.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},ci.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},ci.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var ui=function(){this.reset()};ui.prototype.reset=function(){this._active=!1},ui.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},ui.prototype.enable=function(){this._enabled=!0},ui.prototype.disable=function(){this._enabled=!1,this.reset()},ui.prototype.isEnabled=function(){return this._enabled},ui.prototype.isActive=function(){return this._active};var fi=function(){this._tap=new qn({numTouches:1,numTaps:1}),this.reset()};fi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},fi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},fi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},fi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},fi.prototype.touchcancel=function(){this.reset()},fi.prototype.enable=function(){this._enabled=!0},fi.prototype.disable=function(){this._enabled=!1,this.reset()},fi.prototype.isEnabled=function(){return this._enabled},fi.prototype.isActive=function(){return this._active};var hi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};hi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},hi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},hi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},hi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var pi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};pi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},pi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},pi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},pi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var di=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};di.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},di.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},di.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},di.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},di.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},di.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var mi=function(t){return t.zoom||t.drag||t.pitch||t.rotate},gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function vi(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var yi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new On(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!1}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1],u=s[2];r.addEventListener(l,c,l===t.window.document?this.handleWindowEvent:this.handleEvent,u)}};yi.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},yi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Nn(e,t));var n=e.boxZoom=new Un(e,t);this._add(\"boxZoom\",n);var i=new Gn,a=new ui;e.doubleClickZoom=new ci(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new fi;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new ii;this._add(\"touchPitch\",s);var l=new Zn(t),c=new Xn(t);e.dragRotate=new pi(t,l,c),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",c,[\"mouseRotate\"]);var u=new Wn(t),f=new Jn(t);e.dragPan=new hi(r,u,f),this._add(\"mousePan\",u),this._add(\"touchPan\",f,[\"touchZoom\",\"touchRotate\"]);var h=new ri,p=new ti;e.touchZoomRotate=new di(r,p,h,o),this._add(\"touchRotate\",h,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new li(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var m=e.keyboard=new oi;this._add(\"keyboard\",m),this._add(\"blockableMapEvent\",new jn(e));for(var g=0,v=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];g<v.length;g+=1){var y=v[g];t.interactive&&t[y]&&e[y].enable(t[y])}},yi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},yi.prototype.stop=function(){if(!this._updatingCamera){for(var t=0,e=this._handlers;t<e.length;t+=1){e[t].handler.reset()}this._inertia.clear(),this._fireEvents({},{}),this._changes=[]}},yi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1){if(e[t].handler.isActive())return!0}return!1},yi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},yi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},yi.prototype.isMoving=function(){return Boolean(mi(this._eventsInProgress))||this.isZooming()},yi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},yi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},yi.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},yi.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),c=0,u=this._handlers;c<u.length;c+=1){var f=u[c],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var m=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(m=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,m,h,n),m&&m.needsRenderFrame&&this._triggerRenderFrame()),(m||p.isActive())&&(o[h]=p)}}var g={};for(var v in this._previousActiveHandlers)o[v]||(g[v]=n);this._previousActiveHandlers=o,(Object.keys(g).length||vi(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||vi(i))&&this._map._stop(!0),this._updatingCamera=!1;var y=i.cameraAnimation;y&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],y(this._map))}else this.stop()},yi.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},yi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],c=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,c)}this._updateMapTransform(e,r,n),this._changes=[]},yi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!vi(t))return this._fireEvents(e,r);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,c=t.around,u=t.pinchAround;void 0!==u&&(c=u),n._stop(!0),c=c||n.transform.centerPoint;var f=i.pointLocation(a?c.sub(a):c);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,c),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},yi.prototype._fireEvents=function(e,r){var n=this,i=mi(this._eventsInProgress),a=mi(e),o={};for(var s in e){var l=e[s].originalEvent;this._eventsInProgress[s]||(o[s+\"start\"]=l),this._eventsInProgress[s]=e[s]}for(var c in!i&&a&&this._fireEvent(\"movestart\",a.originalEvent),o)this._fireEvent(c,o[c]);for(var u in e.rotate&&(this._bearingChanged=!0),a&&this._fireEvent(\"move\",a.originalEvent),e){var f=e[u].originalEvent;this._fireEvent(u,f)}var h,p={};for(var d in this._eventsInProgress){var m=this._eventsInProgress[d],g=m.handlerName,v=m.originalEvent;this._handlersById[g].isActive()||(delete this._eventsInProgress[d],h=r[g]||v,p[d+\"end\"]=h)}for(var y in p)this._fireEvent(y,p[y]);var x=mi(this._eventsInProgress);if((i||a)&&!x){this._updatingCamera=!0;var b=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),_=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};b?(_(b.bearing||this._map.getBearing())&&(b.bearing=0),this._map.easeTo(b,{originalEvent:h})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:h})),_(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},yi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},yi.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new gi(\"renderFrame\",{timeStamp:e})),t._applyChanges()})))};var xi=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,c=s.project(t.LngLat.convert(e)),u=s.project(t.LngLat.convert(r)),f=c.rotate(-n*Math.PI/180),h=u.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),m=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/m.x,v=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/m.y;if(!(v<0||g<0)){var y=Math.min(s.scaleZoom(s.scale*Math.min(g,v)),i.maxZoom),x=t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(x.x+b,x.y+_).mult(s.scale/s.zoomScale(y));return{center:s.unproject(c.add(u).div(2).sub(w)),zoom:y,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),i&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),a&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),c=\"zoom\"in e?+e.zoom:a,u=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,f=\"pitch\"in e?+e.pitch:s,h=\"padding\"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),m=i.pointLocation(d),g=t.LngLat.convert(e.center||m);this._normalizeCenter(g);var v,y,x=i.project(m),b=i.project(g).sub(x),_=i.zoomScale(c-a);e.around&&(v=t.LngLat.convert(e.around),y=i.locationPoint(v));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||c!==a,this._rotating=this._rotating||o!==u,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,c,e)),n._rotating&&(i.bearing=t.number(o,u,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),v)i.setLocationAtPoint(v,y);else{var m=i.zoomScale(i.zoom-a),g=c>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(m));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(u-o),m=t.Point.convert(e.offset),g=a.centerPoint.add(m),v=a.pointLocation(g),y=t.LngLat.convert(e.center||v);this._normalizeCenter(y);var x=a.project(v),b=a.project(y).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,u),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),I=function(t){return C(P)/C(P+_*t)},O=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},z=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(z)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=T<w?-1:1;z=Math.abs(Math.log(T/w))/_,O=function(){return 0},I=function(t){return Math.exp(D*_*t)}}if(\"duration\"in e)e.duration=+e.duration;else{var R=\"screenSpeed\"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*z/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*z,d=1/I(i);a.zoom=1===e?u:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(c,p,e),g=a.centerPoint.add(m));var v=1===e?y:a.unproject(x.add(b.mult(O(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?v.wrap():v,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),bi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};bi.prototype.getDefaultPosition=function(){return\"bottom-right\"},bi.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},bi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},bi.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n<r.length-1?\"&\":\"\")),t}),\"?\");e.href=t.config.FEEDBACK_URL+\"/\"+n+(this._map._hash?this._map._hash.getHashString(!0):\"\"),e.rel=\"noopener nofollow\"}},bi.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},bi.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return\"string\"!=typeof t?\"\":t}))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},bi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var _i=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};_i.prototype.onAdd=function(t){this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var e=r.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},_i.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},_i.prototype.getDefaultPosition=function(){return\"bottom-left\"},_i.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},_i.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t){if(t[e].getSource().mapbox_logo)return!0}return!1}},_i.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\"mapboxgl-compact\"):e.classList.remove(\"mapboxgl-compact\")}};var wi=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};wi.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},wi.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},wi.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},wi.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Ti={\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},ki=t.window.HTMLImageElement,Ai=t.window.HTMLElement,Mi=t.window.ImageBitmap,Si={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:60,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Ei=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Si,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>60)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new An(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new wi,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Ti,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof Ai))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1)),this.handlers=new yi(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new Sn(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new bi({customAttribution:e.customAttribution})),this.addControl(new _i,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?60:t)>60)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if(\"mouseenter\"===t||\"mouseover\"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Rn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Rn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Rn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new qe(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new qe(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else\"object\"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\"Unable to perform style diff: \"+(n.message||n.error||n)+\".  Rebuilding the style from scratch.\"),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if(\"loaded\"!==i.state&&\"errored\"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof ki||Mi&&r instanceof Mi){var c=t.browser.getImageData(r),u=c.width,f=c.height,h=c.data;this.style.addImage(e,{data:new t.RGBAImage({width:u,height:f},h),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var p=r.width,d=r.height,m=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(m)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var i=r instanceof ki||Mi&&r instanceof Mi?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));var l=!(r instanceof ki||Mi&&r instanceof Mi);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){a[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,i)}))},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new _n(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var c=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),u=c.crossFadingFactor();1===u&&u===this._crossFadingFactor||(o=!0,this._crossFadingFactor=u),this.style.update(c)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event(\"gpu-timing-layer\",{layerTimes:e}))}),50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event(\"idle\"))),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1){r[e].onRemove(this)}this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext(),Li(this._canvasContainer),Li(this._controlContainer),Li(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new t.Event(\"remove\"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(xi);function Li(t){t.parentNode&&t.parentNode.removeChild(t)}var Ci={showCompass:!0,showZoom:!0,visualizePitch:!1},Pi=function(e){var n=this;this.options=t.extend({},Ci,e),this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};Pi.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},Pi.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=t},Pi.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ii(this._map,this._compass,this.options.visualizePitch)),this._container},Pi.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},Pi.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},Pi.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ii=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Zn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new Xn({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),r.addEventListener(n,\"mousedown\",this.mousedown),r.addEventListener(n,\"touchstart\",this.touchstart,{passive:!1}),r.addEventListener(n,\"touchmove\",this.touchmove),r.addEventListener(n,\"touchend\",this.touchend),r.addEventListener(n,\"touchcancel\",this.reset)};function Oi(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ii.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ii.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ii.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ii.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ii.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ii.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ii.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ii.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ii.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ii.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ii.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var zi={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Di(t,e,r){var n=t.classList;for(var i in zi)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Ri,Fi=function(e){function n(n,i){var a=this;if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._draggable=n&&n.draggable||!1,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");o.setAttributeNS(null,\"display\",\"block\"),o.setAttributeNS(null,\"height\",\"41px\"),o.setAttributeNS(null,\"width\",\"27px\"),o.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"stroke\",\"none\"),s.setAttributeNS(null,\"stroke-width\",\"1\"),s.setAttributeNS(null,\"fill\",\"none\"),s.setAttributeNS(null,\"fill-rule\",\"evenodd\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"fill-rule\",\"nonzero\");var c=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");c.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),c.setAttributeNS(null,\"fill\",\"#000000\");for(var u=0,f=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];u<f.length;u+=1){var h=f[u],p=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");p.setAttributeNS(null,\"opacity\",\"0.04\"),p.setAttributeNS(null,\"cx\",\"10.5\"),p.setAttributeNS(null,\"cy\",\"5.80029008\"),p.setAttributeNS(null,\"rx\",h.rx),p.setAttributeNS(null,\"ry\",h.ry),c.appendChild(p)}var d=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");d.setAttributeNS(null,\"fill\",this._color);var m=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");m.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),d.appendChild(m);var g=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");g.setAttributeNS(null,\"opacity\",\"0.25\"),g.setAttributeNS(null,\"fill\",\"#000000\");var v=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");v.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),g.appendChild(v);var y=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");y.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),y.setAttributeNS(null,\"fill\",\"#FFFFFF\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");x.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#000000\"),b.setAttributeNS(null,\"opacity\",\"0.25\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\");var _=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");_.setAttributeNS(null,\"fill\",\"#FFFFFF\"),_.setAttributeNS(null,\"cx\",\"5.5\"),_.setAttributeNS(null,\"cy\",\"5.5\"),_.setAttributeNS(null,\"r\",\"5.4999962\"),x.appendChild(b),x.appendChild(_),l.appendChild(c),l.appendChild(d),l.appendChild(g),l.appendChild(y),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),this._element.addEventListener(\"focus\",(function(){var t=a._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Di(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=Math.sqrt(Math.pow(13.5,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[e,-1*(24.6+e)],\"bottom-right\":[-e,-1*(24.6+e)],left:[13.5,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?e=\"rotateZ(\"+this._rotation+\"deg)\":\"map\"===this._rotationAlignment&&(e=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var n=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?n=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(n=\"rotateX(\"+this._map.getPitch()+\"deg)\"),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,zi[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+n+\" \"+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\"))},n.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\"auto\",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Bi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Ni=0,ji=!1,Ui=function(e){function n(r){e.call(this),this.options=t.extend({},Bi,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){var n;return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==Ri?n(Ri):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){Ri=\"denied\"!==t.state,n(Ri)})):(Ri=!!t.window.navigator.geolocation,n(Ri)),this._container},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Ni=0,ji=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&ji)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var i=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}else{var a=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Fi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Fi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){var r=e.originalEvent&&\"resize\"===e.originalEvent.type;e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||r||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Ni--,ji=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"))}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\")}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),++Ni>1?(e={maximumAge:6e5,timeout:0},ji=!0):(e=this.options.positionOptions,ji=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Vi={maxWidth:100,unit:\"metric\"},Hi=function(e){this.options=t.extend({},Vi,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;if(l>5280)Gi(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\"));else Gi(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else if(r&&\"nautical\"===r.unit){Gi(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\"))}else s>=1e3?Gi(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):Gi(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function Gi(t,e,r,n){var i,a,o,s=(i=r,a=Math.pow(10,(\"\"+Math.floor(i)).length-1),o=(o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o),a*o),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\"&nbsp;\"+n}Hi.prototype.getDefaultPosition=function(){return\"bottom-left\"},Hi.prototype._onMove=function(){qi(this._map,this._container,this.options)},Hi.prototype.onAdd=function(t){return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},Hi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Hi.prototype.setUnit=function(t){this.options.unit=t,qi(this._map,this._container,this.options)};var Yi=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};Yi.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},Yi.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Yi.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},Yi.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},Yi.prototype._isFullscreen=function(){return this._fullscreen},Yi.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},Yi.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Wi={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},Zi=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Wi),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(e){var n=this,i=this._lngLat||this._trackPointer;if(this._map&&i&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return n._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var a=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),o=this.options.anchor,s=function e(r){if(r){if(\"number\"==typeof r){var n=Math.round(Math.sqrt(.5*Math.pow(r,2)));return{center:new t.Point(0,0),top:new t.Point(0,r),\"top-left\":new t.Point(n,n),\"top-right\":new t.Point(-n,n),bottom:new t.Point(0,-r),\"bottom-left\":new t.Point(n,-n),\"bottom-right\":new t.Point(-n,-n),left:new t.Point(r,0),right:new t.Point(-r,0)}}if(r instanceof t.Point||Array.isArray(r)){var i=t.Point.convert(r);return{center:i,top:i,\"top-left\":i,\"top-right\":i,bottom:i,\"bottom-left\":i,\"bottom-right\":i,left:i,right:i}}return{center:t.Point.convert(r.center||[0,0]),top:t.Point.convert(r.top||[0,0]),\"top-left\":t.Point.convert(r[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(r[\"top-right\"]||[0,0]),bottom:t.Point.convert(r.bottom||[0,0]),\"bottom-left\":t.Point.convert(r[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(r[\"bottom-right\"]||[0,0]),left:t.Point.convert(r.left||[0,0]),right:t.Point.convert(r.right||[0,0])}}return e(new t.Point(0,0))}(this.options.offset);if(!o){var l,c=this._container.offsetWidth,u=this._container.offsetHeight;l=a.y+s.bottom.y<u?[\"top\"]:a.y>this._map.transform.height-u?[\"bottom\"]:[],a.x<c/2?l.push(\"left\"):a.x>this._map.transform.width-c/2&&l.push(\"right\"),o=0===l.length?\"bottom\":l.join(\"-\")}var f=a.add(s[o]).round();r.setTransform(this._container,zi[o]+\" translate(\"+f.x+\"px,\"+f.y+\"px)\"),Di(this._container,o,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);var Xi={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Ei,NavigationControl:Pi,GeolocateControl:Ui,AttributionControl:bi,ScaleControl:Hi,FullscreenControl:Yi,Popup:Zi,Marker:Fi,Style:qe,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){Bt().acquire(zt)},clearPrewarmedResources:function(){var t=Rt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(zt),Rt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Dt.workerCount},set workerCount(t){Dt.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return Xi})),r}))},{}],240:[function(t,e,r){\"use strict\";e.exports=Math.log2||function(t){return Math.log(t)*Math.LOG2E}},{}],241:[function(t,e,r){\"use strict\";e.exports=function(t,e){e||(e=t,t=window);var r=0,i=0,a=0,o={shift:!1,alt:!1,control:!1,meta:!1},s=!1;function l(t){var e=!1;return\"altKey\"in t&&(e=e||t.altKey!==o.alt,o.alt=!!t.altKey),\"shiftKey\"in t&&(e=e||t.shiftKey!==o.shift,o.shift=!!t.shiftKey),\"ctrlKey\"in t&&(e=e||t.ctrlKey!==o.control,o.control=!!t.ctrlKey),\"metaKey\"in t&&(e=e||t.metaKey!==o.meta,o.meta=!!t.metaKey),e}function c(t,s){var c=n.x(s),u=n.y(s);\"buttons\"in s&&(t=0|s.buttons),(t!==r||c!==i||u!==a||l(s))&&(r=0|t,i=c||0,a=u||0,e&&e(r,i,a,o))}function u(t){c(0,t)}function f(){(r||i||a||o.shift||o.alt||o.meta||o.control)&&(i=a=0,r=0,o.shift=o.alt=o.control=o.meta=!1,e&&e(0,0,0,o))}function h(t){l(t)&&e&&e(r,i,a,o)}function p(t){0===n.buttons(t)?c(0,t):c(r,t)}function d(t){c(r|n.buttons(t),t)}function m(t){c(r&~n.buttons(t),t)}function g(){s||(s=!0,t.addEventListener(\"mousemove\",p),t.addEventListener(\"mousedown\",d),t.addEventListener(\"mouseup\",m),t.addEventListener(\"mouseleave\",u),t.addEventListener(\"mouseenter\",u),t.addEventListener(\"mouseout\",u),t.addEventListener(\"mouseover\",u),t.addEventListener(\"blur\",f),t.addEventListener(\"keyup\",h),t.addEventListener(\"keydown\",h),t.addEventListener(\"keypress\",h),t!==window&&(window.addEventListener(\"blur\",f),window.addEventListener(\"keyup\",h),window.addEventListener(\"keydown\",h),window.addEventListener(\"keypress\",h)))}g();var v={element:t};return Object.defineProperties(v,{enabled:{get:function(){return s},set:function(e){e?g():function(){if(!s)return;s=!1,t.removeEventListener(\"mousemove\",p),t.removeEventListener(\"mousedown\",d),t.removeEventListener(\"mouseup\",m),t.removeEventListener(\"mouseleave\",u),t.removeEventListener(\"mouseenter\",u),t.removeEventListener(\"mouseout\",u),t.removeEventListener(\"mouseover\",u),t.removeEventListener(\"blur\",f),t.removeEventListener(\"keyup\",h),t.removeEventListener(\"keydown\",h),t.removeEventListener(\"keypress\",h),t!==window&&(window.removeEventListener(\"blur\",f),window.removeEventListener(\"keyup\",h),window.removeEventListener(\"keydown\",h),window.removeEventListener(\"keypress\",h))}()},enumerable:!0},buttons:{get:function(){return r},enumerable:!0},x:{get:function(){return i},enumerable:!0},y:{get:function(){return a},enumerable:!0},mods:{get:function(){return o},enumerable:!0}}),v};var n=t(\"mouse-event\")},{\"mouse-event\":243}],242:[function(t,e,r){var n={left:0,top:0};e.exports=function(t,e,r){e=e||t.currentTarget||t.srcElement,Array.isArray(r)||(r=[0,0]);var i=t.clientX||0,a=t.clientY||0,o=(s=e,s===window||s===document||s===document.body?n:s.getBoundingClientRect());var s;return r[0]=i-o.left,r[1]=a-o.top,r}},{}],243:[function(t,e,r){\"use strict\";function n(t){return t.target||t.srcElement||window}r.buttons=function(t){if(\"object\"==typeof t){if(\"buttons\"in t)return t.buttons;if(\"which\"in t){if(2===(e=t.which))return 4;if(3===e)return 2;if(e>0)return 1<<e-1}else if(\"button\"in t){var e;if(1===(e=t.button))return 4;if(2===e)return 2;if(e>=0)return 1<<e}}return 0},r.element=n,r.x=function(t){if(\"object\"==typeof t){if(\"offsetX\"in t)return t.offsetX;var e=n(t).getBoundingClientRect();return t.clientX-e.left}return 0},r.y=function(t){if(\"object\"==typeof t){if(\"offsetY\"in t)return t.offsetY;var e=n(t).getBoundingClientRect();return t.clientY-e.top}return 0}},{}],244:[function(t,e,r){\"use strict\";var n=t(\"to-px\");e.exports=function(t,e,r){\"function\"==typeof t&&(r=!!e,e=t,t=window);var i=n(\"ex\",t),a=function(t){r&&t.preventDefault();var n=t.deltaX||0,a=t.deltaY||0,o=t.deltaZ||0,s=1;switch(t.deltaMode){case 1:s=i;break;case 2:s=window.innerHeight}if(a*=s,o*=s,(n*=s)||a||o)return e(n,a,o,t)};return t.addEventListener(\"wheel\",a),a}},{\"to-px\":315}],245:[function(t,e,r){(function(t,r){(function(){\n",
+       "/*! Native Promise Only\n",
+       "    v0.8.1 (c) Kyle Simpson\n",
+       "    MIT License: http://getify.mit-license.org\n",
+       "*/\n",
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+       "(c) Sindre Sorhus\n",
+       "@license MIT\n",
+       "*/\n",
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+       "/*\n",
+       " * @copyright 2016 Sean Connelly (@voidqk), http://syntheti.cc\n",
+       " * @license MIT\n",
+       " * @preserve Project Home: https://github.com/voidqk/polybooljs\n",
+       " */\n",
+       "var n,i=t(\"./lib/build-log\"),a=t(\"./lib/epsilon\"),o=t(\"./lib/intersecter\"),s=t(\"./lib/segment-chainer\"),l=t(\"./lib/segment-selector\"),c=t(\"./lib/geojson\"),u=!1,f=a();function h(t,e,r){var i=n.segments(t),a=n.segments(e),o=r(n.combine(i,a));return n.polygon(o)}n={buildLog:function(t){return!0===t?u=i():!1===t&&(u=!1),!1!==u&&u.list},epsilon:function(t){return f.epsilon(t)},segments:function(t){var e=o(!0,f,u);return 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r=0,n=t[t.length-1][0],i=t[t.length-1][1],a=[],o=0;o<t.length;o++){var s=t[o][0],l=t[o][1];a.push([s,l]),r+=l*n-s*i,n=s,i=l}return r<0!==e&&a.reverse(),a.push([a[0][0],a[0][1]]),a}var u=[];function f(t){var e=[c(t.region,!1)];u.push(e);for(var r=0;r<t.children.length;r++)e.push(h(t.children[r]))}function h(t){for(var e=0;e<t.children.length;e++)f(t.children[e]);return c(t.region,!0)}for(s=0;s<a.children.length;s++)f(a.children[s]);return u.length<=0?{type:\"Polygon\",coordinates:[]}:1==u.length?{type:\"Polygon\",coordinates:u[0]}:{type:\"MultiPolygon\",coordinates:u}}};e.exports=n},{}],259:[function(t,e,r){var n=t(\"./linked-list\");e.exports=function(t,e,r){function i(t,e,n){return{id:r?r.segmentId():-1,start:t,end:e,myFill:{above:n.myFill.above,below:n.myFill.below},otherFill:null}}var a=n.create();function o(t,r){a.insertBefore(t,(function(n){return function(t,r,n,i,a,o){var s=e.pointsCompare(r,a);return 0!==s?s:e.pointsSame(n,o)?0:t!==i?t?1:-1:e.pointAboveOrOnLine(n,i?a:o,i?o:a)?1:-1}(t.isStart,t.pt,r,n.isStart,n.pt,n.other.pt)<0}))}function s(t,e){var r=function(t,e){var r=n.node({isStart:!0,pt:t.start,seg:t,primary:e,other:null,status:null});return o(r,t.end),r}(t,e);return function(t,e,r){var i=n.node({isStart:!1,pt:e.end,seg:e,primary:r,other:t,status:null});t.other=i,o(i,t.pt)}(r,t,e),r}function l(t,e){var n=i(e,t.seg.end,t.seg);return function(t,e){r&&r.segmentChop(t.seg,e),t.other.remove(),t.seg.end=e,t.other.pt=e,o(t.other,t.pt)}(t,e),s(n,t.primary)}function c(i,o){var s=n.create();function c(t){return s.findTransition((function(r){var n,i,a,o,s,l;return(n=t,i=r.ev,a=n.seg.start,o=n.seg.end,s=i.seg.start,l=i.seg.end,e.pointsCollinear(a,s,l)?e.pointsCollinear(o,s,l)||e.pointAboveOrOnLine(o,s,l)?1:-1:e.pointAboveOrOnLine(a,s,l)?1:-1)>0}))}function u(t,n){var i=t.seg,a=n.seg,o=i.start,s=i.end,c=a.start,u=a.end;r&&r.checkIntersection(i,a);var f=e.linesIntersect(o,s,c,u);if(!1===f){if(!e.pointsCollinear(o,s,c))return!1;if(e.pointsSame(o,u)||e.pointsSame(s,c))return!1;var h=e.pointsSame(o,c),p=e.pointsSame(s,u);if(h&&p)return n;var d=!h&&e.pointBetween(o,c,u),m=!p&&e.pointBetween(s,c,u);if(h)return m?l(n,s):l(t,u),n;d&&(p||(m?l(n,s):l(t,u)),l(n,o))}else 0===f.alongA&&(-1===f.alongB?l(t,c):0===f.alongB?l(t,f.pt):1===f.alongB&&l(t,u)),0===f.alongB&&(-1===f.alongA?l(n,o):0===f.alongA?l(n,f.pt):1===f.alongA&&l(n,s));return!1}for(var f=[];!a.isEmpty();){var h=a.getHead();if(r&&r.vert(h.pt[0]),h.isStart){r&&r.segmentNew(h.seg,h.primary);var p=c(h),d=p.before?p.before.ev:null,m=p.after?p.after.ev:null;function g(){if(d){var t=u(h,d);if(t)return t}return!!m&&u(h,m)}r&&r.tempStatus(h.seg,!!d&&d.seg,!!m&&m.seg);var v,y=g();if(y){var x;if(t)(x=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below)&&(y.seg.myFill.above=!y.seg.myFill.above);else y.seg.otherFill=h.seg.myFill;r&&r.segmentUpdate(y.seg),h.other.remove(),h.remove()}if(a.getHead()!==h){r&&r.rewind(h.seg);continue}if(t)x=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below,h.seg.myFill.below=m?m.seg.myFill.above:i,h.seg.myFill.above=x?!h.seg.myFill.below:h.seg.myFill.below;else if(null===h.seg.otherFill)v=m?h.primary===m.primary?m.seg.otherFill.above:m.seg.myFill.above:h.primary?o:i,h.seg.otherFill={above:v,below:v};r&&r.status(h.seg,!!d&&d.seg,!!m&&m.seg),h.other.status=p.insert(n.node({ev:h}))}else{var b=h.status;if(null===b)throw new Error(\"PolyBool: Zero-length segment detected; your epsilon is probably too small or too large\");if(s.exists(b.prev)&&s.exists(b.next)&&u(b.prev.ev,b.next.ev),r&&r.statusRemove(b.ev.seg),b.remove(),!h.primary){var _=h.seg.myFill;h.seg.myFill=h.seg.otherFill,h.seg.otherFill=_}f.push(h.seg)}a.getHead().remove()}return r&&r.done(),f}return t?{addRegion:function(t){for(var n,i,a,o=t[t.length-1],l=0;l<t.length;l++){n=o,o=t[l];var c=e.pointsCompare(n,o);0!==c&&s((i=c<0?n:o,a=c<0?o:n,{id:r?r.segmentId():-1,start:i,end:a,myFill:{above:null,below:null},otherFill:null}),!0)}},calculate:function(t){return c(t,!1)}}:{calculate:function(t,e,r,n){return t.forEach((function(t){s(i(t.start,t.end,t),!0)})),r.forEach((function(t){s(i(t.start,t.end,t),!1)})),c(e,n)}}}},{\"./linked-list\":260}],260:[function(t,e,r){e.exports={create:function(){var t={root:{root:!0,next:null},exists:function(e){return null!==e&&e!==t.root},isEmpty:function(){return null===t.root.next},getHead:function(){return t.root.next},insertBefore:function(e,r){for(var n=t.root,i=t.root.next;null!==i;){if(r(i))return e.prev=i.prev,e.next=i,i.prev.next=e,void(i.prev=e);n=i,i=i.next}n.next=e,e.prev=n,e.next=null},findTransition:function(e){for(var r=t.root,n=t.root.next;null!==n&&!e(n);)r=n,n=n.next;return{before:r===t.root?null:r,after:n,insert:function(t){return t.prev=r,t.next=n,r.next=t,null!==n&&(n.prev=t),t}}}};return t},node:function(t){return t.prev=null,t.next=null,t.remove=function(){t.prev.next=t.next,t.next&&(t.next.prev=t.prev),t.prev=null,t.next=null},t}}},{}],261:[function(t,e,r){e.exports=function(t,e,r){var n=[],i=[];return t.forEach((function(t){var a=t.start,o=t.end;if(e.pointsSame(a,o))console.warn(\"PolyBool: Warning: Zero-length segment detected; your epsilon is probably too small or too large\");else{r&&r.chainStart(t);for(var s={index:0,matches_head:!1,matches_pt1:!1},l={index:0,matches_head:!1,matches_pt1:!1},c=s,u=0;u<n.length;u++){var f=(g=n[u])[0],h=(g[1],g[g.length-1]);g[g.length-2];if(e.pointsSame(f,a)){if(k(u,!0,!0))break}else if(e.pointsSame(f,o)){if(k(u,!0,!1))break}else if(e.pointsSame(h,a)){if(k(u,!1,!0))break}else if(e.pointsSame(h,o)&&k(u,!1,!1))break}if(c===s)return n.push([a,o]),void(r&&r.chainNew(a,o));if(c===l){r&&r.chainMatch(s.index);var p=s.index,d=s.matches_pt1?o:a,m=s.matches_head,g=n[p],v=m?g[0]:g[g.length-1],y=m?g[1]:g[g.length-2],x=m?g[g.length-1]:g[0],b=m?g[g.length-2]:g[1];return e.pointsCollinear(y,v,d)&&(m?(r&&r.chainRemoveHead(s.index,d),g.shift()):(r&&r.chainRemoveTail(s.index,d),g.pop()),v=y),e.pointsSame(x,d)?(n.splice(p,1),e.pointsCollinear(b,x,v)&&(m?(r&&r.chainRemoveTail(s.index,v),g.pop()):(r&&r.chainRemoveHead(s.index,v),g.shift())),r&&r.chainClose(s.index),void i.push(g)):void(m?(r&&r.chainAddHead(s.index,d),g.unshift(d)):(r&&r.chainAddTail(s.index,d),g.push(d)))}var _=s.index,w=l.index;r&&r.chainConnect(_,w);var T=n[_].length<n[w].length;s.matches_head?l.matches_head?T?(A(_),M(_,w)):(A(w),M(w,_)):M(w,_):l.matches_head?M(_,w):T?(A(_),M(w,_)):(A(w),M(_,w))}function k(t,e,r){return c.index=t,c.matches_head=e,c.matches_pt1=r,c===s?(c=l,!1):(c=null,!0)}function A(t){r&&r.chainReverse(t),n[t].reverse()}function M(t,i){var a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],c=o[0],u=o[1];e.pointsCollinear(l,s,c)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,c,u)&&(r&&r.chainRemoveHead(i,c),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},{}],262:[function(t,e,r){function n(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var i={union:function(t,e){return n(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],e)},intersect:function(t,e){return n(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],e)},difference:function(t,e){return n(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],e)},differenceRev:function(t,e){return n(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],e)},xor:function(t,e){return n(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],e)}};e.exports=i},{}],263:[function(t,e,r){\"use strict\";var n=t(\"stream\").Transform,i=t(\"stream-parser\");function a(){n.call(this,{readableObjectMode:!0})}function o(t,e,r){Error.call(this),Error.captureStackTrace?Error.captureStackTrace(this,this.constructor):this.stack=(new Error).stack||\"\",this.name=this.constructor.name,this.message=t,e&&(this.code=e),r&&(this.statusCode=r)}a.prototype=Object.create(n.prototype),a.prototype.constructor=a,i(a.prototype),r.ParserStream=a,r.sliceEq=function(t,e,r){for(var n=e,i=0;i<r.length;)if(t[n++]!==r[i++])return!1;return!0},r.str2arr=function(t,e){var r=[],n=0;if(e&&\"hex\"===e)for(;n<t.length;)r.push(parseInt(t.slice(n,n+2),16)),n+=2;else for(;n<t.length;n++)r.push(255&t.charCodeAt(n));return r},r.readUInt16LE=function(t,e){return t[e]|t[e+1]<<8},r.readUInt16BE=function(t,e){return t[e+1]|t[e]<<8},r.readUInt32LE=function(t,e){return t[e]|t[e+1]<<8|t[e+2]<<16|16777216*t[e+3]},r.readUInt32BE=function(t,e){return t[e+3]|t[e+2]<<8|t[e+1]<<16|16777216*t[e]},o.prototype=Object.create(Error.prototype),o.prototype.constructor=o,r.ProbeError=o},{stream:286,\"stream-parser\":302}],264:[function(t,e,r){\"use strict\";function n(t,e){var r=new Error(t);return r.code=e,r}function i(t){try{return decodeURIComponent(escape(t))}catch(e){return t}}function a(t,e,r){this.input=t.subarray(e,r),this.start=e;var i=String.fromCharCode.apply(null,this.input.subarray(0,4));if(\"II*\\0\"!==i&&\"MM\\0*\"!==i)throw n(\"invalid TIFF signature\",\"EBADDATA\");this.big_endian=\"M\"===i[0]}a.prototype.each=function(t){this.aborted=!1;var e=this.read_uint32(4);for(this.ifds_to_read=[{id:0,offset:e}];this.ifds_to_read.length>0&&!this.aborted;){var r=this.ifds_to_read.shift();r.offset&&this.scan_ifd(r.id,r.offset,t)}},a.prototype.read_uint16=function(t){var e=this.input;if(t+2>e.length)throw n(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?256*e[t]+e[t+1]:e[t]+256*e[t+1]},a.prototype.read_uint32=function(t){var e=this.input;if(t+4>e.length)throw n(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?16777216*e[t]+65536*e[t+1]+256*e[t+2]+e[t+3]:e[t]+256*e[t+1]+65536*e[t+2]+16777216*e[t+3]},a.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},a.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},a.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return r=this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return r=this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return r=this.read_uint32(e);case 9:return 0|(r=this.read_uint32(e));case 5:case 10:case 11:case 12:case 7:default:return null}},a.prototype.scan_ifd=function(t,e,r){var a=this.read_uint16(e);e+=2;for(var o=0;o<a;o++){var s=this.read_uint16(e),l=this.read_uint16(e+2),c=this.read_uint32(e+4),u=this.exif_format_length(l),f=c*u,h=f<=4?e+8:this.read_uint32(e+8),p=!1;if(h+f>this.input.length)throw n(\"unexpected EOF\",\"EBADDATA\");for(var d=[],m=h,g=0;g<c;g++,m+=u){var v=this.exif_format_read(l,m);if(null===v){d=null;break}d.push(v)}if(Array.isArray(d)&&2===l&&(d=i(String.fromCharCode.apply(null,d)))&&\"\\0\"===d[d.length-1]&&(d=d.slice(0,-1)),this.is_subifd_link(t,s)&&Array.isArray(d)&&Number.isInteger(d[0])&&d[0]>0&&(this.ifds_to_read.push({id:s,offset:d[0]}),p=!0),!1===r({is_big_endian:this.big_endian,ifd:t,tag:s,format:l,count:c,entry_offset:e+this.start,data_length:f,data_offset:h+this.start,value:d,is_subifd_link:p}))return void(this.aborted=!0);e+=12}0===t&&this.ifds_to_read.push({id:1,offset:this.read_uint32(e)})},e.exports.ExifParser=a,e.exports.get_orientation=function(t){var e=0;try{return new a(t,0,t.length).each((function(t){if(0===t.ifd&&274===t.tag&&Array.isArray(t.value))return e=t.value[0],!1})),e}catch(t){return-1}}},{}],265:[function(t,e,r){\"use strict\";var n=t(\"./common\").readUInt16BE,i=t(\"./common\").readUInt32BE;function a(t,e){if(t.length<4+e)return null;var r=i(t,e);return t.length<r+e||r<8?null:{boxtype:String.fromCharCode.apply(null,t.slice(e+4,e+8)),data:t.slice(e+8,e+r),end:e+r}}function o(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;switch(n.boxtype){case\"ispe\":e.sizes.push({width:i(n.data,4),height:i(n.data,8)});break;case\"irot\":e.transforms.push({type:\"irot\",value:3&n.data[0]});break;case\"imir\":e.transforms.push({type:\"imir\",value:1&n.data[0]})}r=n.end}}function s(t,e,r){for(var n=0,i=0;i<r;i++)n=256*n+(t[e+i]||0);return n}function l(t,e){for(var r=t[4]>>4&15,i=15&t[4],a=t[5]>>4&15,o=n(t,6),l=8,c=0;c<o;c++){var u=n(t,l),f=n(t,l+=2),h=s(t,l+=2,a),p=n(t,l+=a);if(l+=2,0===f&&1===p){var d=s(t,l,r),m=s(t,l+r,i);e.item_loc[u]={length:m,offset:d+h}}l+=p*(r+i)}}function c(t,e){for(var r=n(t,4),i=6,o=0;o<r;o++){var s=a(t,i);if(!s)break;if(\"infe\"===s.boxtype){for(var l=n(s.data,4),c=\"\",u=8;u<s.data.length&&s.data[u];u++)c+=String.fromCharCode(s.data[u]);e.item_inf[c]=l}i=s.end}}function u(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;\"ipco\"===n.boxtype&&o(n.data,e),r=n.end}}e.exports.unbox=a,e.exports.readSizeFromMeta=function(t){var e={sizes:[],transforms:[],item_inf:{},item_loc:{}};if(function(t,e){for(var r=4;;){var n=a(t,r);if(!n)break;\"iprp\"===n.boxtype&&u(n.data,e),\"iloc\"===n.boxtype&&l(n.data,e),\"iinf\"===n.boxtype&&c(n.data,e),r=n.end}}(t,e),e.sizes.length){var r,n,i,o=(r=e.sizes,n=r.reduce((function(t,e){return t.width>e.width||t.width===e.width&&t.height>e.height?t:e})),i=r.reduce((function(t,e){return t.height>e.height||t.height===e.height&&t.width>e.width?t:e})),n.width>i.height||n.width===i.height&&n.height>i.width?n:i),s=1;e.transforms.forEach((function(t){var e={1:6,2:5,3:8,4:7,5:4,6:3,7:2,8:1},r={1:4,2:3,3:2,4:1,5:6,6:5,7:8,8:7};if(\"imir\"===t.type&&(s=0===t.value?r[s]:e[s=e[s=r[s]]]),\"irot\"===t.type)for(var n=0;n<t.value;n++)s=e[s]}));var f=null;return e.item_inf.Exif&&(f=e.item_loc[e.item_inf.Exif]),{width:o.width,height:o.height,orientation:e.transforms.length?s:null,variants:e.sizes,exif_location:f}}},e.exports.getMimeType=function(t){var e=String.fromCharCode.apply(null,t.slice(0,4)),r={};r[e]=!0;for(var 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Uint8Array(4*h),w=new Float32Array(4*h);x.forEach((function(t,e){if(t){var r=t.positions,n=t.count,i=t.offset,a=t.color,o=t.errors;n&&(_.set(a,4*i),w.set(o,4*i),g.set(r,2*i))}}));var T=u(g);c(T);var k=f(g,T);p(k),d(_),m(w)}}}function k(){c.destroy(),p.destroy(),d.destroy(),m.destroy(),g.destroy()}};var h=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]]},{\"array-bounds\":71,\"color-normalize\":89,\"flatten-vertex-data\":191,\"object-assign\":247,\"pick-by-alias\":253,\"to-float32\":314,\"update-diff\":330}],281:[function(t,e,r){\"use strict\";var n=t(\"color-normalize\"),i=t(\"array-bounds\"),a=t(\"object-assign\"),o=t(\"glslify\"),s=t(\"pick-by-alias\"),l=t(\"flatten-vertex-data\"),c=t(\"earcut\"),u=t(\"array-normalize\"),f=t(\"to-float32\"),h=f.float32,p=f.fract32,d=t(\"es6-weak-map\"),m=t(\"parse-rect\"),g=t(\"array-find-index\");function v(t,e){if(!(this instanceof v))return new v(t,e);if(\"function\"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=v.shaders.has(t)?v.shaders.get(t):v.shaders.set(t,v.createShaders(t)).get(t),this.update(e)}e.exports=v,v.dashMult=2,v.maxPatternLength=256,v.precisionThreshold=3e6,v.maxPoints=1e4,v.maxLines=2048,v.shaders=new d,v.createShaders=function(t){var e,r=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashTexture:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashLength:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},i=t(a({vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 color;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\n\\t// the order is important\\n\\treturn position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n}\\n\\nvoid main() {\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineOffset = lineTop * 2. - 1.;\\n\\n\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\n\\ttangent = normalize(diff * scale * viewport.zw);\\n\\tvec2 normal = vec2(-tangent.y, tangent.x);\\n\\n\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\n\\t\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\n\\n\\t\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:\"back\"},vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\nattribute vec4 aColor, bColor;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, translate;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\nuniform float miterLimit, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 tangent;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nconst float REVERSE_THRESHOLD = -.875;\\nconst float MIN_DIFF = 1e-6;\\n\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\n// TODO: precalculate dot products, normalize things beforehead etc.\\n// TODO: refactor to rectangular algorithm\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nbool isNaN( float val ){\\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\n}\\n\\nvoid main() {\\n\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\n\\n  vec2 adjustedScale;\\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * 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t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach((function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);\"number\"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>v.precisionThreshold||e.scale[1]*e.viewport.height>v.precisionThreshold||\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=v.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},v.prototype.update=function(t){var e=this;if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach((function(t,f){var d=e.passes[f];if(void 0!==t)if(null!==t){if(\"number\"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\",join:\"lineJoin linejoin 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C=y[2*S],P=y[2*S+1];isNaN(C)||isNaN(P)||null==C||null==P?(C=y[2*M],P=y[2*M+1],A[S]=M):M=S,k[E++]=C,k[E++]=P}if(t.splitNull){d.count-1 in A||(A[d.count]=d.count-1);var I=Object.keys(A).map(Number).sort((function(t,e){return t-e})),O=[],z=0,D=null!=d.hole?d.hole[0]:null;if(null!=D){var R=g(I,(function(t){return t>=D}));(I=I.slice(0,R)).push(D)}for(var F=function(t){var e=k.slice(2*z,2*I[t]).concat(D?k.slice(2*D):[]),r=(d.hole||[]).map((function(e){return e-D+(I[t]-z)})),n=c(e,r);n=n.map((function(e){return e+z+(e+z<I[t]?0:D-I[t])})),O.push.apply(O,n),z=I[t]+1},B=0;B<I.length;B++)F(B);for(var N=0,j=O.length;N<j;N++)null!=A[O[N]]&&(O[N]=A[O[N]]);d.triangles=O}else{for(var U=c(k,d.hole||[]),V=0,H=U.length;V<H;V++)null!=A[U[V]]&&(U[V]=A[U[V]]);d.triangles=U}}var q=new Float64Array(y);u(q,2,T);var G=new 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at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*v.dashMult*.5;ot<st;++ot)$[rt++]=nt;nt^=255}}d.dashLength=tt,d.dashTexture({channels:1,data:$,width:$.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var lt=d.count,ct=t.color;ct||(ct=\"transparent\");var ut=new Uint8Array(4*lt+4);if(Array.isArray(ct)&&\"number\"!=typeof ct[0]){for(var ft=0;ft<lt;ft++){var ht=n(ct[ft],\"uint8\");ut.set(ht,4*ft)}ut.set(n(ct[0],\"uint8\"),4*lt)}else for(var pt=n(ct,\"uint8\"),dt=0;dt<lt+1;dt++)ut.set(pt,4*dt);d.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:ut})}}else e.passes[f]=null})),t.length<this.passes.length){for(var f=t.length;f<this.passes.length;f++){var d=this.passes[f];d&&(d.colorBuffer.destroy(),d.positionBuffer.destroy(),d.dashTexture.destroy())}this.passes.length=t.length}for(var y=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&y.push(this.passes[x]);return this.passes=y,this}},v.prototype.destroy=function(){return 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o={uniforms:{constPointSize:!!e.constPointSize,opacity:t.prop(\"opacity\"),paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},pixelRatio:t.context(\"pixelRatio\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),markerTexture:t.prop(\"markerTexture\"),paletteTexture:n},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return e.yAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:4}},size:function(t,e){return e.size.length?{buffer:e.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(255*e.size/r.maxSize)]}},borderSize:function(t,e){return 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mix(color, fragColor, colorAmt);\\n    color.a *= opacity;\\n\\n    gl_FragColor = color;\\n  }\\n\\n}\\n\"]),s.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\nconst float borderLevel = .5;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = 2. * size * pointSizeScale;\\n  fragPointSize = size * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\"]),this.drawMarker=t(s);var l=f({},o);l.frag=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nuniform float opacity;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),g&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}b.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},b.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},b.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},b.prototype.drawItem=function(t,e){var r=this.groups,n=r[t];if(\"number\"==typeof e&&(t=e,n=r[e],e=null),n&&n.count&&n.opacity){n.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,n,e));for(var a=[],o=1;o<n.activation.length;o++)n.activation[o]&&(!0===n.activation[o]||n.activation[o].data.length)&&a.push.apply(a,i(this.getMarkerDrawOptions(o,n,e)));a.length&&this.drawMarker(a)}},b.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,c=e.count;this.regl;if(!a)return r?[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var u=[],h=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(c),m=0;m<r.length;m++){var g=r[m];d[g]=p?p[g]:1}l.subdata(d)}for(var v=h.length;v--;){var y=n(h[v],2),x=y[0],b=y[1];u.push(f({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return u},b.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,s=this.maxSize,c=this.maxColors,h=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=p(e,{positions:\"positions data points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",color:\"colors color fill fill-color fillColor\",borderColor:\"borderColors borderColor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range dataBox databox\",viewport:\"viewport viewPort viewBox viewbox\",opacity:\"opacity alpha transparency\",bounds:\"bound bounds boundaries limits\",tooManyColors:\"tooManyColors palette paletteMode optimizePalette enablePalette\"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(i[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"})},e=f({},b.defaults,e)),e.positions&&!(\"marker\"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!(\"positions\"in e)&&(e.positions=n.positions,delete n.positions);var g=0,x=0;if(d(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=b.defaults.size),g+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=b.defaults.borderSize),g+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=b.defaults.color),e=t.updateColor(e),x++,e},borderColor:function(e,r){return null==e&&(e=b.defaults.borderColor),e=t.updateColor(e),x++,e},bounds:function(t,e,r){return\"range\"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,i=e.positionBuffer,a=e.positionFractBuffer,s=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=m(t,\"float64\");var c=e.count=Math.floor(t.length/2),f=e.bounds=c?l(t,2):null;if(r.range||e.range||(delete e.range,r.range=f),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:f}):n&&n.length&&(e.tree=n),e.tree){var h={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(h):e.elements=o.elements(h)}var p=v.float32(t);return i({data:p,usage:\"dynamic\"}),a({data:v.fract32(t,p),usage:\"dynamic\"}),s({data:new Uint8Array(c),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach((function(t){return t&&t.destroy&&t.destroy()})),i.length=0,e&&\"number\"!=typeof e[0]){for(var a=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var c=t.addMarker(e[s]);a[c]||(a[c]=new Uint8Array(r.count)),a[c][s]=1}for(var u=0;u<a.length;u++)if(a[u]){var f={data:a[u],type:\"uint8\",usage:\"static\"};i[u]?i[u](f):i[u]=o.buffer(f),i[u].data=a[u]}}else{i[t.addMarker(e)]=!0}return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=v.fract(e.scale),e.translateFract=v.fract(e.translate),t},viewport:function(t){return y(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),g){var _=n,w=_.count,T=_.size,k=_.borderSize,A=_.sizeBuffer,M=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)M[2*S]=Math.round(255*(null==T[S]?T:T[S])/s),M[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/s);A({data:M,usage:\"dynamic\"})}if(x){var E,L=n,C=L.count,P=L.color,I=L.borderColor,O=L.colorBuffer;if(t.tooManyColors){if(P.length||I.length){E=new Uint8Array(8*C);for(var z=0;z<C;z++){var D=P[z];E[8*z]=h[4*D],E[8*z+1]=h[4*D+1],E[8*z+2]=h[4*D+2],E[8*z+3]=h[4*D+3];var R=I[z];E[8*z+4]=h[4*R],E[8*z+5]=h[4*R+1],E[8*z+6]=h[4*R+2],E[8*z+7]=h[4*R+3]}}}else if(P.length||I.length){E=new Uint8Array(4*C+2);for(var F=0;F<C;F++)null!=P[F]&&(E[4*F]=P[F]%c,E[4*F+1]=Math.floor(P[F]/c)),null!=I[F]&&(E[4*F+2]=I[F]%c,E[4*F+3]=Math.floor(I[F]/c))}O({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},b.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,i=this.markerCache,a=null==t?0:i.indexOf(t);if(a>=0)return a;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return a=r.length,i.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:\"linear\",min:\"linear\"})),a},b.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var i=[];if(\"number\"==typeof t[0]){var a=[];if(Array.isArray(t))for(var o=0;o<t.length;o+=4)a.push(t.slice(o,o+4));else for(var l=0;l<t.length;l+=4)a.push(t.subarray(l,l+4));t=a}for(var u=0;u<t.length;u++){var f=t[u];f=s(f,\"uint8\");var h=c(f,!1);if(null==e[h]){var p=r.length;e[h]=Math.floor(p/4),r[p]=f[0],r[p+1]=f[1],r[p+2]=f[2],r[p+3]=f[3]}i[u]=e[h]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===i.length?i[0]:i},b.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var i=.25*(t=t.slice()).length%e;i<n*e;i++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},b.prototype.destroy=function(){return this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var _=t(\"object-assign\");e.exports=function(t,e){var r=new x(t,e),n=r.render.bind(r);return _(n,{render:n,update:r.update.bind(r),draw:r.draw.bind(r),destroy:r.destroy.bind(r),regl:r.regl,gl:r.gl,canvas:r.gl.canvas,groups:r.groups,markers:r.markerCache,palette:r.palette}),n}},{\"@plotly/point-cluster\":59,\"array-bounds\":71,\"color-id\":87,\"color-normalize\":89,\"flatten-vertex-data\":191,glslify:227,\"is-iexplorer\":233,\"object-assign\":247,\"parse-rect\":249,\"pick-by-alias\":253,\"to-float32\":314,\"update-diff\":330}],283:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),i=t(\"pick-by-alias\"),a=t(\"array-bounds\"),o=t(\"raf\"),s=t(\"array-range\"),l=t(\"parse-rect\"),c=t(\"flatten-vertex-data\");function u(t,e){if(!(this instanceof u))return new u(t,e);this.traces=[],this.passes={},this.regl=t,this.scatter=n(t),this.canvas=this.scatter.canvas}function f(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function h(t,e,r){var n,i,a,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],i=s[3]):s.length?(n=s[0],i=s[1]):(s.x,n=s.y,s.x+s.width,i=s.y+s.height),l.length>2?(a=l[0],o=l[2],l[1],l[3]):l.length?(a=l[0],o=l[1]):(a=l.x,l.y,o=l.x+l.width,l.y+l.height),[a,n,o,i]}function p(t){if(\"number\"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}e.exports=u,u.prototype.render=function(){for(var t,e=this,r=[],n=arguments.length;n--;)r[n]=arguments[n];return r.length&&(t=this).update.apply(t,r),this.regl.attributes.preserveDrawingBuffer?this.draw():(this.dirty?null==this.planned&&(this.planned=o((function(){e.draw(),e.dirty=!0,e.planned=null}))):(this.draw(),this.dirty=!0,o((function(){e.dirty=!1}))),this)},u.prototype.update=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=0;n<e.length;n++)this.updateItem(n,e[n]);this.traces=this.traces.filter(Boolean);for(var i=[],a=0,o=0;o<this.traces.length;o++){for(var s=this.traces[o],l=this.traces[o].passes,c=0;c<l.length;c++)i.push(this.passes[l[c]]);s.passOffset=a,a+=s.passes.length}return(t=this.scatter).update.apply(t,i),this}},u.prototype.updateItem=function(t,e){var r=this.regl;if(null===e)return this.traces[t]=null,this;if(!e)return this;var n,o=i(e,{data:\"data items columns rows values dimensions samples x\",snap:\"snap cluster\",size:\"sizes size radius\",color:\"colors color fill fill-color fillColor\",opacity:\"opacity alpha transparency opaque\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",borderColor:\"borderColors borderColor bordercolor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range ranges databox dataBox\",viewport:\"viewport viewBox viewbox\",domain:\"domain domains area areas\",padding:\"pad padding paddings pads margin margins\",transpose:\"transpose transposed\",diagonal:\"diagonal diag showDiagonal\",upper:\"upper up top upperhalf upperHalf showupperhalf showUpper showUpperHalf\",lower:\"lower low bottom lowerhalf lowerHalf showlowerhalf showLowerHalf showLower\"}),s=this.traces[t]||(this.traces[t]={id:t,buffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array}),color:\"black\",marker:null,size:12,borderColor:\"transparent\",borderSize:1,viewport:l([r._gl.drawingBufferWidth,r._gl.drawingBufferHeight]),padding:[0,0,0,0],opacity:1,diagonal:!0,upper:!0,lower:!0});if(null!=o.color&&(s.color=o.color),null!=o.size&&(s.size=o.size),null!=o.marker&&(s.marker=o.marker),null!=o.borderColor&&(s.borderColor=o.borderColor),null!=o.borderSize&&(s.borderSize=o.borderSize),null!=o.opacity&&(s.opacity=o.opacity),o.viewport&&(s.viewport=l(o.viewport)),null!=o.diagonal&&(s.diagonal=o.diagonal),null!=o.upper&&(s.upper=o.upper),null!=o.lower&&(s.lower=o.lower),o.data){s.buffer(c(o.data)),s.columns=o.data.length,s.count=o.data[0].length,s.bounds=[];for(var u=0;u<s.columns;u++)s.bounds[u]=a(o.data[u],1)}o.range&&(s.range=o.range,n=s.range&&\"number\"!=typeof s.range[0]),o.domain&&(s.domain=o.domain);var d=!1;null!=o.padding&&(Array.isArray(o.padding)&&o.padding.length===s.columns&&\"number\"==typeof o.padding[o.padding.length-1]?(s.padding=o.padding.map(p),d=!0):s.padding=p(o.padding));var m=s.columns,g=s.count,v=s.viewport.width,y=s.viewport.height,x=s.viewport.x,b=s.viewport.y,_=v/m,w=y/m;s.passes=[];for(var T=0;T<m;T++)for(var k=0;k<m;k++)if((s.diagonal||k!==T)&&(s.upper||!(T>k))&&(s.lower||!(T<k))){var A=f(s.id,T,k),M=this.passes[A]||(this.passes[A]={});if(o.data&&(o.transpose?M.positions={x:{buffer:s.buffer,offset:k,count:g,stride:m},y:{buffer:s.buffer,offset:T,count:g,stride:m}}:M.positions={x:{buffer:s.buffer,offset:k*g,count:g},y:{buffer:s.buffer,offset:T*g,count:g}},M.bounds=h(s.bounds,T,k)),o.domain||o.viewport||o.data){var S=d?h(s.padding,T,k):s.padding;if(s.domain){var E=h(s.domain,T,k),L=E[0],C=E[1],P=E[2],I=E[3];M.viewport=[x+L*v+S[0],b+C*y+S[1],x+P*v-S[2],b+I*y-S[3]]}else M.viewport=[x+k*_+_*S[0],b+T*w+w*S[1],x+(k+1)*_-_*S[2],b+(T+1)*w-w*S[3]]}o.color&&(M.color=s.color),o.size&&(M.size=s.size),o.marker&&(M.marker=s.marker),o.borderSize&&(M.borderSize=s.borderSize),o.borderColor&&(M.borderColor=s.borderColor),o.opacity&&(M.opacity=s.opacity),o.range&&(M.range=n?h(s.range,T,k):s.range||M.bounds),s.passes.push(A)}return this},u.prototype.draw=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=[],i=0;i<e.length;i++)if(\"number\"==typeof e[i]){var a=this.traces[e[i]],o=a.passes,l=a.passOffset;n.push.apply(n,s(l,l+o.length))}else if(e[i].length){var c=e[i],u=this.traces[i],f=u.passes,h=u.passOffset;f=f.map((function(t,e){n[h+e]=c}))}(t=this.scatter).draw.apply(t,n)}else this.scatter.draw();return this},u.prototype.destroy=function(){return 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return 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e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=a},{\"../main\":347,\"object-assign\":247}],336:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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i=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(i)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(i)%10-3]}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t<=0?t+1:t,o=this.jdEpoch+this._delay1(a)+this._delay2(a)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.hebrew=a},{\"../main\":347,\"object-assign\":247}],338:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Islamic\",jdEpoch:1948439.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Islamic\",epochs:[\"BH\",\"AH\"],monthNames:[\"Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' al-thani\",\"Jumada al-awwal\",\"Jumada al-thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-ahad\",\"Yawm al-ithnayn\",\"Yawm ath-thulaathaa'\",\"Yawm al-arbi'aa'\",\"Yawm al-kham\\u012bs\",\"Yawm al-jum'a\",\"Yawm as-sabt\"],dayNamesShort:[\"Aha\",\"Ith\",\"Thu\",\"Arb\",\"Kha\",\"Jum\",\"Sab\"],dayNamesMin:[\"Ah\",\"It\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(t){return(11*this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year()+14)%30<11},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return this.leapYear(t)?355:354},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),t=t<=0?t+1:t,(r=i.day())+Math.ceil(29.5*(e-1))+354*(t-1)+Math.floor((3+11*t)/30)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t)+.5;var e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=a},{\"../main\":347,\"object-assign\":247}],339:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Julian\",jdEpoch:1721423.5,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Julian\",epochs:[\"BC\",\"AD\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"mm/dd/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()<0?e.year()+1:e.year())%4==0},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),r=i.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),i=Math.floor((e-n)/30.6001),a=i-Math.floor(i<14?1:13),o=r-Math.floor(a>2?4716:4715),s=e-n-Math.floor(30.6001*i);return o<=0&&o--,this.newDate(o,a,s)}}),n.calendars.julian=a},{\"../main\":347,\"object-assign\":247}],340:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}function s(t,e){return o(t-1,e)+1}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Mayan\",jdEpoch:584282.5,hasYearZero:!0,minMonth:0,firstMonth:0,minDay:0,regionalOptions:{\"\":{name:\"Mayan\",epochs:[\"\",\"\"],monthNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],monthNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],dayNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesMin:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],digits:null,dateFormat:\"YYYY.m.d\",firstDay:0,isRTL:!1,haabMonths:[\"Pop\",\"Uo\",\"Zip\",\"Zotz\",\"Tzec\",\"Xul\",\"Yaxkin\",\"Mol\",\"Chen\",\"Yax\",\"Zac\",\"Ceh\",\"Mac\",\"Kankin\",\"Muan\",\"Pax\",\"Kayab\",\"Cumku\",\"Uayeb\"],tzolkinMonths:[\"Imix\",\"Ik\",\"Akbal\",\"Kan\",\"Chicchan\",\"Cimi\",\"Manik\",\"Lamat\",\"Muluc\",\"Oc\",\"Chuen\",\"Eb\",\"Ben\",\"Ix\",\"Men\",\"Cib\",\"Caban\",\"Etznab\",\"Cauac\",\"Ahau\"]}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate).toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o((t-=this.jdEpoch)+8+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s((t-=this.jdEpoch)+20,20),s(t+4,13)]},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return i.day()+20*i.month()+360*i.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=a},{\"../main\":347,\"object-assign\":247}],341:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar;var o=n.instance(\"gregorian\");i(a.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s<i.month();s++)a+=this.daysPerMonth[s-1];return a+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=a},{\"../main\":347,\"object-assign\":247}],342:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),void 0===this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),void 0===this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var c=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var c=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var 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i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(i.year());return a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(i.year());return a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},{\"../main\":347,\"object-assign\":247}],345:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\"),a=n.instance();function 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return a.leapYear(t)},weekOfYear:function(t,e,r){var i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(i.year());return a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(i.year());return a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},{\"../main\":347,\"object-assign\":247}],346:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,i=0,a=0;a<o.length;a++){if(o[a]>r)return o[i]-o[i-1];i++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate),a=12*(i.year()-1)+i.month()-15292;return i.day()+o[a-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),s=a+1,l=i-12*a,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var i=n.baseCalendar.prototype.isValid.apply(this,arguments);return i&&(i=(t=null!=t.year?t.year:t)>=1276&&t<=1500),i},_validate:function(t,e,r,i){var a=n.baseCalendar.prototype._validate.apply(this,arguments);if(a.year<1276||a.year>1500)throw i.replace(/\\{0\\}/,this.local.name);return a}}),n.calendars.ummalqura=a;var 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n=t(\"object-assign\");function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);i=t.day();\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(!function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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r,s,l=o(t,e),c=l.on,u=l.off.concat(l.explicitOff),f={},h=t._fullLayout.annotations;if(!c.length&&!u.length)return;for(r=0;r<c.length;r++)(s=a(t.layout,\"annotations\",h[c[r]])).modifyItem(\"visible\",!0),n.extendFlat(f,s.getUpdateObj());for(r=0;r<u.length;r++)(s=a(t.layout,\"annotations\",h[u[r]])).modifyItem(\"visible\",!1),n.extendFlat(f,s.getUpdateObj());return i.call(\"update\",t,{},f)}}},{\"../../lib\":515,\"../../plot_api/plot_template\":555,\"../../registry\":647}],353:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../color\");e.exports=function(t,e,r,a){a(\"opacity\");var o=a(\"bgcolor\"),s=a(\"bordercolor\"),l=i.opacity(s);a(\"borderpad\");var c=a(\"borderwidth\"),u=a(\"showarrow\");if(a(\"text\",u?\" \":r._dfltTitle.annotation),a(\"textangle\"),n.coerceFont(a,\"font\",r.font),a(\"width\"),a(\"align\"),a(\"height\")&&a(\"valign\"),u){var f,h,p=a(\"arrowside\");-1!==p.indexOf(\"end\")&&(f=a(\"arrowhead\"),h=a(\"arrowsize\")),-1!==p.indexOf(\"start\")&&(a(\"startarrowhead\",f),a(\"startarrowsize\",h)),a(\"arrowcolor\",l?e.bordercolor:i.defaultLine),a(\"arrowwidth\",2*(l&&c||1)),a(\"standoff\"),a(\"startstandoff\")}var d=a(\"hovertext\"),m=r.hoverlabel||{};if(d){var g=a(\"hoverlabel.bgcolor\",m.bgcolor||(i.opacity(o)?i.rgb(o):i.defaultLine)),v=a(\"hoverlabel.bordercolor\",m.bordercolor||i.contrast(g));n.coerceFont(a,\"hoverlabel.font\",{family:m.font.family,size:m.font.size,color:m.font.color||v})}a(\"captureevents\",!!d)}},{\"../../lib\":515,\"../color\":367}],354:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib/to_log_range\");e.exports=function(t,e,r,a){e=e||{};var o=\"log\"===r&&\"linear\"===e.type,s=\"linear\"===r&&\"log\"===e.type;if(o||s)for(var l,c,u=t._fullLayout.annotations,f=e._id.charAt(0),h=0;h<u.length;h++)l=u[h],c=\"annotations[\"+h+\"].\",l[f+\"ref\"]===e._id&&p(f),l[\"a\"+f+\"ref\"]===e._id&&p(\"a\"+f);function p(t){var r=l[t],s=null;s=o?i(r,e.range):Math.pow(10,r),n(s)||(s=null),a(c+t,s)}}},{\"../../lib/to_log_range\":543,\"fast-isnumeric\":190}],355:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../plots/cartesian/axes\"),a=t(\"../../plots/array_container_defaults\"),o=t(\"./common_defaults\"),s=t(\"./attributes\");function l(t,e,r){function a(r,i){return n.coerce(t,e,s,r,i)}var l=a(\"visible\"),c=a(\"clicktoshow\");if(l||c){o(t,e,r,a);for(var u=e.showarrow,f=[\"x\",\"y\"],h=[-10,-30],p={_fullLayout:r},d=0;d<2;d++){var m=f[d],g=i.coerceRef(t,e,p,m,\"\",\"paper\");if(\"paper\"!==g)i.getFromId(p,g)._annIndices.push(e._index);if(i.coercePosition(e,p,a,g,m,.5),u){var v=\"a\"+m,y=i.coerceRef(t,e,p,v,\"pixel\",[\"pixel\",\"paper\"]);\"pixel\"!==y&&y!==g&&(y=e[v]=\"pixel\");var 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r=t._fullLayout.annotations[e]||{},n=l.getFromId(t,r.xref),i=l.getFromId(t,r.yref);n&&n.setScale(),i&&i.setScale(),x(t,r,e,!1,n,i)}function y(t,e,r,n,i){var a=i[r],o=i[r+\"ref\"],s=-1!==r.indexOf(\"y\"),c=\"domain\"===l.getRefType(o),u=s?n.h:n.w;return t?c?a+(s?-e:e)/t._length:t.p2r(t.r2p(a)+e):a+(s?-e:e)/u}function x(t,e,r,a,v,x){var b,_,w=t._fullLayout,T=t._fullLayout._size,k=t._context.edits;a?(b=\"annotation-\"+a,_=a+\".annotations\"):(b=\"annotation\",_=\"annotations\");var A=m(t.layout,_,e),M=A.modifyBase,S=A.modifyItem,E=A.getUpdateObj;w._infolayer.selectAll(\".\"+b+'[data-index=\"'+r+'\"]').remove();var L=\"clip\"+w._uid+\"_ann\"+r;if(e._input&&!1!==e.visible){var C={x:{},y:{}},P=+e.textangle||0,I=w._infolayer.append(\"g\").classed(b,!0).attr(\"data-index\",String(r)).style(\"opacity\",e.opacity),O=I.append(\"g\").classed(\"annotation-text-g\",!0),z=k[e.showarrow?\"annotationTail\":\"annotationPosition\"],D=e.captureevents||k.annotationText||z,R=O.append(\"g\").style(\"pointer-events\",D?\"all\":null).call(p,\"pointer\").on(\"click\",(function(){t._dragging=!1,t.emit(\"plotly_clickannotation\",Y(n.event))}));e.hovertext&&R.on(\"mouseover\",(function(){var r=e.hoverlabel,n=r.font,i=this.getBoundingClientRect(),a=t.getBoundingClientRect();f.loneHover({x0:i.left-a.left,x1:i.right-a.left,y:(i.top+i.bottom)/2-a.top,text:e.hovertext,color:r.bgcolor,borderColor:r.bordercolor,fontFamily:n.family,fontSize:n.size,fontColor:n.color},{container:w._hoverlayer.node(),outerContainer:w._paper.node(),gd:t})})).on(\"mouseout\",(function(){f.loneUnhover(w._hoverlayer.node())}));var F=e.borderwidth,B=e.borderpad,N=F+B,j=R.append(\"rect\").attr(\"class\",\"bg\").style(\"stroke-width\",F+\"px\").call(c.stroke,e.bordercolor).call(c.fill,e.bgcolor),U=e.width||e.height,V=w._topclips.selectAll(\"#\"+L).data(U?[0]:[]);V.enter().append(\"clipPath\").classed(\"annclip\",!0).attr(\"id\",L).append(\"rect\"),V.exit().remove();var H=e.font,q=w._meta?o.templateString(e.text,w._meta):e.text,G=R.append(\"text\").classed(\"annotation-text\",!0).text(q);k.annotationText?G.call(h.makeEditable,{delegate:R,gd:t}).call(W).on(\"edit\",(function(r){e.text=r,this.call(W),S(\"text\",r),v&&v.autorange&&M(v._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0),i.call(\"_guiRelayout\",t,E())})):G.call(W)}else n.selectAll(\"#\"+L).remove();function Y(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return a&&(n.subplotId=a),n}function W(r){return r.call(u.font,H).attr({\"text-anchor\":{left:\"start\",right:\"end\"}[e.align]||\"middle\"}),h.convertToTspans(r,t,Z),r}function Z(){var r=G.selectAll(\"a\");1===r.size()&&r.text()===G.text()&&R.insert(\"a\",\":first-child\").attr({\"xlink:xlink:href\":r.attr(\"xlink:href\"),\"xlink:xlink:show\":r.attr(\"xlink:show\")}).style({cursor:\"pointer\"}).node().appendChild(j.node());var n=R.select(\".annotation-text-math-group\"),f=!n.empty(),m=u.bBox((f?n:G).node()),b=m.width,_=m.height,A=e.width||b,D=e.height||_,B=Math.round(A+2*N),H=Math.round(D+2*N);function q(t,e){return\"auto\"===e&&(e=t<1/3?\"left\":t>2/3?\"right\":\"center\"),{center:0,middle:0,left:.5,bottom:-.5,right:-.5,top:.5}[e]}for(var W=!1,Z=[\"x\",\"y\"],X=0;X<Z.length;X++){var J,K,Q,$,tt,et=Z[X],rt=e[et+\"ref\"]||et,nt=e[\"a\"+et+\"ref\"],it={x:v,y:x}[et],at=(P+(\"x\"===et?0:-90))*Math.PI/180,ot=B*Math.cos(at),st=H*Math.sin(at),lt=Math.abs(ot)+Math.abs(st),ct=e[et+\"anchor\"],ut=e[et+\"shift\"]*(\"x\"===et?1:-1),ft=C[et],ht=l.getRefType(rt);if(it&&\"domain\"!==ht){var pt=it.r2fraction(e[et]);(pt<0||pt>1)&&(nt===rt?((pt=it.r2fraction(e[\"a\"+et]))<0||pt>1)&&(W=!0):W=!0),J=it._offset+it.r2p(e[et]),$=.5}else{var dt=\"domain\"===ht;\"x\"===et?(Q=e[et],J=dt?it._offset+it._length*Q:J=T.l+T.w*Q):(Q=1-e[et],J=dt?it._offset+it._length*Q:J=T.t+T.h*Q),$=e.showarrow?.5:Q}if(e.showarrow){ft.head=J;var mt=e[\"a\"+et];if(tt=ot*q(.5,e.xanchor)-st*q(.5,e.yanchor),nt===rt){var gt=l.getRefType(nt);\"domain\"===gt?(\"y\"===et&&(mt=1-mt),ft.tail=it._offset+it._length*mt):\"paper\"===gt?\"y\"===et?(mt=1-mt,ft.tail=T.t+T.h*mt):ft.tail=T.l+T.w*mt:ft.tail=it._offset+it.r2p(mt),K=tt}else ft.tail=J+mt,K=tt+mt;ft.text=ft.tail+tt;var vt=w[\"x\"===et?\"width\":\"height\"];if(\"paper\"===rt&&(ft.head=o.constrain(ft.head,1,vt-1)),\"pixel\"===nt){var yt=-Math.max(ft.tail-3,ft.text),xt=Math.min(ft.tail+3,ft.text)-vt;yt>0?(ft.tail+=yt,ft.text+=yt):xt>0&&(ft.tail-=xt,ft.text-=xt)}ft.tail+=ut,ft.head+=ut}else K=tt=lt*q($,ct),ft.text=J+tt;ft.text+=ut,tt+=ut,K+=ut,e[\"_\"+et+\"padplus\"]=lt/2+K,e[\"_\"+et+\"padminus\"]=lt/2-K,e[\"_\"+et+\"size\"]=lt,e[\"_\"+et+\"shift\"]=tt}if(W)R.remove();else{var bt=0,_t=0;if(\"left\"!==e.align&&(bt=(A-b)*(\"center\"===e.align?.5:1)),\"top\"!==e.valign&&(_t=(D-_)*(\"middle\"===e.valign?.5:1)),f)n.select(\"svg\").attr({x:N+bt-1,y:N+_t}).call(u.setClipUrl,U?L:null,t);else{var wt=N+_t-m.top,Tt=N+bt-m.left;G.call(h.positionText,Tt,wt).call(u.setClipUrl,U?L:null,t)}V.select(\"rect\").call(u.setRect,N,N,A,D),j.call(u.setRect,F/2,F/2,B-F,H-F),R.call(u.setTranslate,Math.round(C.x.text-B/2),Math.round(C.y.text-H/2)),O.attr({transform:\"rotate(\"+P+\",\"+C.x.text+\",\"+C.y.text+\")\"});var kt,At=function(r,n){I.selectAll(\".annotation-arrow-g\").remove();var l=C.x.head,f=C.y.head,h=C.x.tail+r,p=C.y.tail+n,m=C.x.text+r,b=C.y.text+n,_=o.rotationXYMatrix(P,m,b),w=o.apply2DTransform(_),A=o.apply2DTransform2(_),L=+j.attr(\"width\"),z=+j.attr(\"height\"),D=m-.5*L,F=D+L,B=b-.5*z,N=B+z,U=[[D,B,D,N],[D,N,F,N],[F,N,F,B],[F,B,D,B]].map(A);if(!U.reduce((function(t,e){return t^!!o.segmentsIntersect(l,f,l+1e6,f+1e6,e[0],e[1],e[2],e[3])}),!1)){U.forEach((function(t){var e=o.segmentsIntersect(h,p,l,f,t[0],t[1],t[2],t[3]);e&&(h=e.x,p=e.y)}));var V=e.arrowwidth,H=e.arrowcolor,q=e.arrowside,G=I.append(\"g\").style({opacity:c.opacity(H)}).classed(\"annotation-arrow-g\",!0),Y=G.append(\"path\").attr(\"d\",\"M\"+h+\",\"+p+\"L\"+l+\",\"+f).style(\"stroke-width\",V+\"px\").call(c.stroke,c.rgb(H));if(g(Y,q,e),k.annotationPosition&&Y.node().parentNode&&!a){var W=l,Z=f;if(e.standoff){var X=Math.sqrt(Math.pow(l-h,2)+Math.pow(f-p,2));W+=e.standoff*(h-l)/X,Z+=e.standoff*(p-f)/X}var J,K,Q=G.append(\"path\").classed(\"annotation-arrow\",!0).classed(\"anndrag\",!0).classed(\"cursor-move\",!0).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(h-W)+\",\"+(p-Z),transform:s(W,Z)}).style(\"stroke-width\",V+6+\"px\").call(c.stroke,\"rgba(0,0,0,0)\").call(c.fill,\"rgba(0,0,0,0)\");d.init({element:Q.node(),gd:t,prepFn:function(){var t=u.getTranslate(R);J=t.x,K=t.y,v&&v.autorange&&M(v._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0)},moveFn:function(t,r){var n=w(J,K),i=n[0]+t,a=n[1]+r;R.call(u.setTranslate,i,a),S(\"x\",y(v,t,\"x\",T,e)),S(\"y\",y(x,r,\"y\",T,e)),e.axref===e.xref&&S(\"ax\",y(v,t,\"ax\",T,e)),e.ayref===e.yref&&S(\"ay\",y(x,r,\"ay\",T,e)),G.attr(\"transform\",s(t,r)),O.attr({transform:\"rotate(\"+P+\",\"+i+\",\"+a+\")\"})},doneFn:function(){i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}};if(e.showarrow&&At(0,0),z)d.init({element:R.node(),gd:t,prepFn:function(){kt=O.attr(\"transform\")},moveFn:function(t,r){var n=\"pointer\";if(e.showarrow)e.axref===e.xref?S(\"ax\",y(v,t,\"ax\",T,e)):S(\"ax\",e.ax+t),e.ayref===e.yref?S(\"ay\",y(x,r,\"ay\",T.w,e)):S(\"ay\",e.ay+r),At(t,r);else{if(a)return;var i,o;if(v)i=y(v,t,\"x\",T,e);else{var l=e._xsize/T.w,c=e.x+(e._xshift-e.xshift)/T.w-l/2;i=d.align(c+t/T.w,l,0,1,e.xanchor)}if(x)o=y(x,r,\"y\",T,e);else{var u=e._ysize/T.h,f=e.y-(e._yshift+e.yshift)/T.h-u/2;o=d.align(f-r/T.h,u,0,1,e.yanchor)}S(\"x\",i),S(\"y\",o),v&&x||(n=d.getCursor(v?.5:i,x?.5:o,e.xanchor,e.yanchor))}O.attr({transform:s(t,r)+kt}),p(R,n)},clickFn:function(r,n){e.captureevents&&t.emit(\"plotly_clickannotation\",Y(n))},doneFn:function(){p(R),i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}}e.exports={draw:function(t){var e=t._fullLayout;e._infolayer.selectAll(\".annotation\").remove();for(var r=0;r<e.annotations.length;r++)e.annotations[r].visible&&v(t,r);return a.previousPromises(t)},drawOne:v,drawRaw:x}},{\"../../lib\":515,\"../../lib/setcursor\":536,\"../../lib/svg_text_utils\":541,\"../../plot_api/plot_template\":555,\"../../plots/cartesian/axes\":566,\"../../plots/plots\":628,\"../../registry\":647,\"../color\":367,\"../dragelement\":386,\"../drawing\":389,\"../fx\":407,\"./draw_arrow_head\":357,\"@plotly/d3\":58}],357:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../color\"),a=t(\"./arrow_paths\"),o=t(\"../../lib\"),s=o.strScale,l=o.strRotate,c=o.strTranslate;e.exports=function(t,e,r){var o,u,f,h,p=t.node(),d=a[r.arrowhead||0],m=a[r.startarrowhead||0],g=(r.arrowwidth||1)*(r.arrowsize||1),v=(r.arrowwidth||1)*(r.startarrowsize||1),y=e.indexOf(\"start\")>=0,x=e.indexOf(\"end\")>=0,b=d.backoff*g+r.standoff,_=m.backoff*v+r.startstandoff;if(\"line\"===p.nodeName){o={x:+t.attr(\"x1\"),y:+t.attr(\"y1\")},u={x:+t.attr(\"x2\"),y:+t.attr(\"y2\")};var w=o.x-u.x,T=o.y-u.y;if(h=(f=Math.atan2(T,w))+Math.PI,b&&_&&b+_>Math.sqrt(w*w+T*T))return void z();if(b){if(b*b>w*w+T*T)return void z();var k=b*Math.cos(f),A=b*Math.sin(f);u.x+=k,u.y+=A,t.attr({x2:u.x,y2:u.y})}if(_){if(_*_>w*w+T*T)return void z();var M=_*Math.cos(f),S=_*Math.sin(f);o.x-=M,o.y-=S,t.attr({x1:o.x,y1:o.y})}}else if(\"path\"===p.nodeName){var E=p.getTotalLength(),L=\"\";if(E<b+_)return void z();var C=p.getPointAtLength(0),P=p.getPointAtLength(.1);f=Math.atan2(C.y-P.y,C.x-P.x),o=p.getPointAtLength(Math.min(_,E)),L=\"0px,\"+_+\"px,\";var 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n=t(\"./draw\"),i=t(\"./click\");e.exports={moduleType:\"component\",name:\"annotations\",layoutAttributes:t(\"./attributes\"),supplyLayoutDefaults:t(\"./defaults\"),includeBasePlot:t(\"../../plots/cartesian/include_components\")(\"annotations\"),calcAutorange:t(\"./calc_autorange\"),draw:n.draw,drawOne:n.drawOne,drawRaw:n.drawRaw,hasClickToShow:i.hasClickToShow,onClick:i.onClick,convertCoords:t(\"./convert_coords\")}},{\"../../plots/cartesian/include_components\":577,\"./attributes\":350,\"./calc_autorange\":351,\"./click\":352,\"./convert_coords\":354,\"./defaults\":355,\"./draw\":356}],359:[function(t,e,r){\"use strict\";var 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n=t(\"@plotly/d3\"),i=t(\"tinycolor2\"),a=t(\"../../plots/plots\"),o=t(\"../../registry\"),s=t(\"../../plots/cartesian/axes\"),l=t(\"../dragelement\"),c=t(\"../../lib\"),u=c.strTranslate,f=t(\"../../lib/extend\").extendFlat,h=t(\"../../lib/setcursor\"),p=t(\"../drawing\"),d=t(\"../color\"),m=t(\"../titles\"),g=t(\"../../lib/svg_text_utils\"),v=t(\"../colorscale/helpers\").flipScale,y=t(\"../../plots/cartesian/axis_defaults\"),x=t(\"../../plots/cartesian/position_defaults\"),b=t(\"../../plots/cartesian/layout_attributes\"),_=t(\"../../constants/alignment\"),w=_.LINE_SPACING,T=_.FROM_TL,k=_.FROM_BR,A=t(\"./constants\").cn;e.exports={draw:function(t){var e=t._fullLayout._infolayer.selectAll(\"g.\"+A.colorbar).data(function(t){var e,r,n,i,a=t._fullLayout,o=t.calcdata,s=[];function l(t){return f(t,{_fillcolor:null,_line:{color:null,width:null,dash:null},_levels:{start:null,end:null,size:null},_filllevels:null,_fillgradient:null,_zrange:null})}function c(){\"function\"==typeof 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r=n.select(this);c.ensureSingle(r,\"rect\",A.cbbg),c.ensureSingle(r,\"g\",A.cbfills),c.ensureSingle(r,\"g\",A.cblines),c.ensureSingle(r,\"g\",A.cbaxis,(function(t){t.classed(A.crisp,!0)})),c.ensureSingle(r,\"g\",A.cbtitleunshift,(function(t){t.append(\"g\").classed(A.cbtitle,!0)})),c.ensureSingle(r,\"rect\",A.cboutline);var v=function(t,e,r){var o=\"v\"===e.orientation,l=e.len,h=e.lenmode,v=e.thickness,_=e.thicknessmode,M=e.outlinewidth,S=e.borderwidth,E=e.bgcolor,L=e.xanchor,C=e.yanchor,P=e.xpad,I=e.ypad,O=e.x,z=o?e.y:1-e.y,D=r._fullLayout,R=D._size,F=e._fillcolor,B=e._line,N=e.title,j=N.side,U=e._zrange||n.extent((\"function\"==typeof F?F:B.color).domain()),V=\"function\"==typeof B.color?B.color:function(){return B.color},H=\"function\"==typeof F?F:function(){return F},q=e._levels,G=function(t,e,r){var n,i,a=e._levels,o=[],s=[],l=a.end+a.size/100,c=a.size,u=1.001*r[0]-.001*r[1],f=1.001*r[1]-.001*r[0];for(i=0;i<1e5&&(n=a.start+i*c,!(c>0?n>=l:n<=l));i++)n>u&&n<f&&o.push(n);if(e._fillgradient)s=[0];else if(\"function\"==typeof e._fillcolor){var h=e._filllevels;if(h)for(l=h.end+h.size/100,c=h.size,i=0;i<1e5&&(n=h.start+i*c,!(c>0?n>=l:n<=l));i++)n>r[0]&&n<r[1]&&s.push(n);else(s=o.map((function(t){return t-a.size/2}))).push(s[s.length-1]+a.size)}else e._fillcolor&&\"string\"==typeof e._fillcolor&&(s=[0]);a.size<0&&(o.reverse(),s.reverse());return{line:o,fill:s}}(0,e,U),Y=G.fill,W=G.line,Z=Math.round(v*(\"fraction\"===_?o?R.w:R.h:1)),X=Z/(o?R.w:R.h),J=Math.round(l*(\"fraction\"===h?o?R.h:R.w:1)),K=J/(o?R.h:R.w),Q=Math.round(o?O*R.w+P:z*R.h+I),$={center:.5,right:1}[L]||0,tt={top:1,middle:.5}[C]||0,et=o?O-$*X:z-tt*X,rt=o?z-tt*K:O-$*K,nt=Math.round(o?R.h*(1-rt):R.w*rt);e._lenFrac=K,e._thickFrac=X,e._uFrac=et,e._vFrac=rt;var it=e._axis=function(t,e,r){var n=t._fullLayout,i=\"v\"===e.orientation,a={type:\"linear\",range:r,tickmode:e.tickmode,nticks:e.nticks,tick0:e.tick0,dtick:e.dtick,tickvals:e.tickvals,ticktext:e.ticktext,ticks:e.ticks,ticklen:e.ticklen,tickwidth:e.tickwidth,tickcolor:e.tickcolor,showticklabels:e.showticklabels,ticklabelposition:e.ticklabelposition,ticklabeloverflow:e.ticklabeloverflow,ticklabelstep:e.ticklabelstep,tickfont:e.tickfont,tickangle:e.tickangle,tickformat:e.tickformat,exponentformat:e.exponentformat,minexponent:e.minexponent,separatethousands:e.separatethousands,showexponent:e.showexponent,showtickprefix:e.showtickprefix,tickprefix:e.tickprefix,showticksuffix:e.showticksuffix,ticksuffix:e.ticksuffix,title:e.title,showline:!0,anchor:\"free\",side:i?\"right\":\"bottom\",position:1},o=i?\"y\":\"x\",s={type:\"linear\",_id:o+e._id},l={letter:o,font:n.font,noHover:!0,noTickson:!0,noTicklabelmode:!0,calendar:n.calendar};function u(t,e){return c.coerce(a,s,b,t,e)}return 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a,l=t.select(\".\"+A.cbtitle),f=l.select(\"text\"),h=[-M/2,M/2],d=l.select(\".h\"+it._id+\"title-math-group\").node(),m=15.6;if(f.node()&&(m=parseInt(f.node().style.fontSize,10)*w),d?(a=p.bBox(d),gt=a.width,(mt=a.height)>m&&(h[1]-=(mt-m)/2)):f.node()&&!f.classed(A.jsPlaceholder)&&(a=p.bBox(f.node()),gt=a.width,mt=a.height),o){if(mt){if(mt+=5,\"top\"===j)it.domain[1]-=mt/R.h,h[1]*=-1;else{it.domain[0]+=mt/R.h;var v=g.lineCount(f);h[1]+=(1-v)*m}l.attr(\"transform\",u(h[0],h[1])),it.setScale()}}else gt&&(\"right\"===j&&(it.domain[0]+=(gt+pt/2)/R.w),l.attr(\"transform\",u(h[0],h[1])),it.setScale())}t.selectAll(\".\"+A.cbfills+\",.\"+A.cblines).attr(\"transform\",o?u(0,Math.round(R.h*(1-it.domain[1]))):u(Math.round(R.w*it.domain[0]),0)),dt.attr(\"transform\",o?u(0,Math.round(-R.t)):u(Math.round(-R.l),0));var y=t.select(\".\"+A.cbfills).selectAll(\"rect.\"+A.cbfill).attr(\"style\",\"\").data(Y);y.enter().append(\"rect\").classed(A.cbfill,!0).style(\"stroke\",\"none\"),y.exit().remove();var x=U.map(it.c2p).map(Math.round).sort((function(t,e){return t-e}));y.each((function(t,a){var s=[0===a?U[0]:(Y[a]+Y[a-1])/2,a===Y.length-1?U[1]:(Y[a]+Y[a+1])/2].map(it.c2p).map(Math.round);o&&(s[1]=c.constrain(s[1]+(s[1]>s[0])?1:-1,x[0],x[1]));var l=n.select(this).attr(o?\"x\":\"y\",Q).attr(o?\"y\":\"x\",n.min(s)).attr(o?\"width\":\"height\",Math.max(Z,2)).attr(o?\"height\":\"width\",Math.max(n.max(s)-n.min(s),2));if(e._fillgradient)p.gradient(l,r,e._id,o?\"vertical\":\"horizontalreversed\",e._fillgradient,\"fill\");else{var u=H(t).replace(\"e-\",\"\");l.attr(\"fill\",i(u).toHexString())}}));var b=t.select(\".\"+A.cblines).selectAll(\"path.\"+A.cbline).data(B.color&&B.width?W:[]);b.enter().append(\"path\").classed(A.cbline,!0),b.exit().remove(),b.each((function(t){var e=Q,r=Math.round(it.c2p(t))+B.width/2%1;n.select(this).attr(\"d\",\"M\"+(o?e+\",\"+r:r+\",\"+e)+(o?\"h\":\"v\")+Z).call(p.lineGroupStyle,B.width,V(t),B.dash)})),dt.selectAll(\"g.\"+it._id+\"tick,path\").remove();var 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n,s=Z+M/2;-1===ht.indexOf(\"inside\")&&(n=p.bBox(dt.node()),s+=o?n.width:n.height),ut=ft.select(\"text\");var c=0,f=o&&\"top\"===j,m=!o&&\"right\"===j,g=0;if(ut.node()&&!ut.classed(A.jsPlaceholder)){var y,x=ft.select(\".h\"+it._id+\"title-math-group\").node();x&&(o&&at||!o&&!at)?(c=(n=p.bBox(x)).width,y=n.height):(c=(n=p.bBox(ft.node())).right-R.l-(o?Q:nt),y=n.bottom-R.t-(o?nt:Q),o||\"top\"!==j||(s+=n.height,g=n.height)),m&&(ut.attr(\"transform\",u(c/2+pt/2,0)),c*=2),s=Math.max(s,o?c:y)}var b=2*(o?P:I)+s+S+M/2,w=0;!o&&N.text&&\"bottom\"===C&&z<=0&&(b+=w=b/2,g+=w),D._hColorbarMoveTitle=w,D._hColorbarMoveCBTitle=g;var F=S+M;t.select(\".\"+A.cbbg).attr(\"x\",(o?Q:nt)-F/2-(o?P:0)).attr(\"y\",(o?nt:Q)-(o?J:I+g-w)).attr(o?\"width\":\"height\",Math.max(b-w,2)).attr(o?\"height\":\"width\",Math.max(J+F,2)).call(d.fill,E).call(d.stroke,e.bordercolor).style(\"stroke-width\",S);var B=m?Math.max(c-10,0):0;if(t.selectAll(\".\"+A.cboutline).attr(\"x\",(o?Q:nt+P)+B).attr(\"y\",(o?nt+I-J:Q)+(f?mt:0)).attr(o?\"width\":\"height\",Math.max(Z,2)).attr(o?\"height\":\"width\",Math.max(J-(o?2*I+mt:2*P+B),2)).call(d.stroke,e.outlinecolor).style({fill:\"none\",\"stroke-width\":M}),t.attr(\"transform\",u(R.l-(o?$*b:0),R.t-(o?0:(1-tt)*b-g))),!o&&(S||i(E).getAlpha()&&!i.equals(D.paper_bgcolor,E))){var U=dt.selectAll(\"text\"),V=U[0].length,H=t.select(\".\"+A.cbbg).node(),q=p.bBox(H),G=p.getTranslate(t);U.each((function(t,e){var r=V-1;if(0===e||e===r){var n,i=p.bBox(this),a=p.getTranslate(this);if(e===r){var o=i.right+a.x;(n=q.right+G.x+nt-S-2+O-o)>0&&(n=0)}else if(0===e){var s=i.left+a.x;(n=q.left+G.x+nt+S+2-s)<0&&(n=0)}n&&(V<3?this.setAttribute(\"transform\",\"translate(\"+n+\",0) \"+this.getAttribute(\"transform\")):this.setAttribute(\"visibility\",\"hidden\"))}}))}var Y={},W=T[L],X=k[L],K=T[C],et=k[C],rt=b-Z;o?(\"pixels\"===h?(Y.y=z,Y.t=J*K,Y.b=J*et):(Y.t=Y.b=0,Y.yt=z+l*K,Y.yb=z-l*et),\"pixels\"===_?(Y.x=O,Y.l=b*W,Y.r=b*X):(Y.l=rt*W,Y.r=rt*X,Y.xl=O-v*W,Y.xr=O+v*X)):(\"pixels\"===h?(Y.x=O,Y.l=J*W,Y.r=J*X):(Y.l=Y.r=0,Y.xl=O+l*W,Y.xr=O-l*X),\"pixels\"===_?(Y.y=1-z,Y.t=b*K,Y.b=b*et):(Y.t=rt*K,Y.b=rt*et,Y.yt=z-v*K,Y.yb=z+v*et)),a.autoMargin(r,e._id,Y)}],r)}(r,e,t);v&&v.then&&(t._promises||[]).push(v),t._context.edits.colorbarPosition&&function(t,e,r){var n,i,a,s=\"v\"===e.orientation,c=r._fullLayout._size;l.init({element:t.node(),gd:r,prepFn:function(){n=t.attr(\"transform\"),h(t)},moveFn:function(r,o){t.attr(\"transform\",n+u(r,o)),i=l.align((s?e._uFrac:e._vFrac)+r/c.w,s?e._thickFrac:e._lenFrac,0,1,e.xanchor),a=l.align((s?e._vFrac:1-e._uFrac)-o/c.h,s?e._lenFrac:e._thickFrac,0,1,e.yanchor);var f=l.getCursor(i,a,e.xanchor,e.yanchor);h(t,f)},doneFn:function(){if(h(t),void 0!==i&&void 0!==a){var n={};n[e._propPrefix+\"x\"]=i,n[e._propPrefix+\"y\"]=a,void 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t=n.select(this),e=h.tester.append(\"text\").text(t.text()).call(h.font,m),i=V(r,e.node());Math.round(i.width)<Math.round(y.width)&&t.attr(\"x\",B-i.width),e.remove()}))}else u.positionText(l,C*(S+M),R),O=null;var N=i._topclips.selectAll(\"#\"+F).data(O?[0]:[]);N.enter().append(\"clipPath\").attr(\"id\",F).append(\"path\"),N.exit().remove(),N.select(\"path\").attr(\"d\",O),h.setClipUrl(l,O?F:null,r)}t.attr(\"transform\",s(g,v))})),v.isUnifiedHover(a)){d.selectAll(\"g.hovertext\").remove();var G=t.filter((function(t){return\"none\"!==t.hoverinfo}));if(0===G.length)return;var Y=i.hoverlabel,W=Y.font,Z={showlegend:!0,legend:{title:{text:I,font:W},font:W,bgcolor:Y.bgcolor,bordercolor:Y.bordercolor,borderwidth:1,tracegroupgap:7,traceorder:i.legend?i.legend.traceorder:void 0,orientation:\"v\"}},X={font:W};x(Z,X,r._fullData);var J=X.legend;J.entries=[];for(var K=0;K<G.length;K++){var Q=G[K];if(\"none\"!==Q.hoverinfo){var $=O(Q,!0,a,i,I),tt=$[0],et=$[1];Q.name=et,Q.text=\"\"!==et?et+\" : 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r=t.index,n=t.trace||{},a=t.cd[0],s=t.cd[r]||{};function l(t){return t||i(t)&&0===t}var c=Array.isArray(r)?function(t,e){var i=o.castOption(a,r,t);return l(i)?i:o.extractOption({},n,\"\",e)}:function(t,e){return o.extractOption(s,n,t,e)};function u(e,r,n){var i=c(r,n);l(i)&&(t[e]=i)}if(u(\"hoverinfo\",\"hi\",\"hoverinfo\"),u(\"bgcolor\",\"hbg\",\"hoverlabel.bgcolor\"),u(\"borderColor\",\"hbc\",\"hoverlabel.bordercolor\"),u(\"fontFamily\",\"htf\",\"hoverlabel.font.family\"),u(\"fontSize\",\"hts\",\"hoverlabel.font.size\"),u(\"fontColor\",\"htc\",\"hoverlabel.font.color\"),u(\"nameLength\",\"hnl\",\"hoverlabel.namelength\"),u(\"textAlign\",\"hta\",\"hoverlabel.align\"),t.posref=\"y\"===e||\"closest\"===e&&\"h\"===n.orientation?t.xa._offset+(t.x0+t.x1)/2:t.ya._offset+(t.y0+t.y1)/2,t.x0=o.constrain(t.x0,0,t.xa._length),t.x1=o.constrain(t.x1,0,t.xa._length),t.y0=o.constrain(t.y0,0,t.ya._length),t.y1=o.constrain(t.y1,0,t.ya._length),void 0!==t.xLabelVal&&(t.xLabel=\"xLabel\"in 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w=\"top\";l.isBottomAnchor(r)&&(b-=h,w=\"bottom\");l.isMiddleAnchor(r)&&(b-=h/2,w=\"middle\");f=Math.ceil(f),h=Math.ceil(h),x=Math.round(x),b=Math.round(b),a.autoMargin(t,i+\"-range-selector\",{x:r.x,y:r.y,l:f*d[_],r:f*m[_],b:h*m[w],t:h*d[w]}),o.attr(\"transform\",c(x,b))}(t,h,f,o._name,r)}))}},{\"../../constants/alignment\":483,\"../../lib\":515,\"../../lib/svg_text_utils\":541,\"../../plots/cartesian/axis_ids\":570,\"../../plots/plots\":628,\"../../registry\":647,\"../color\":367,\"../drawing\":389,\"./constants\":434,\"./get_update_object\":437,\"@plotly/d3\":58}],437:[function(t,e,r){\"use strict\";var n=t(\"d3-time\"),i=t(\"../../lib\").titleCase;e.exports=function(t,e){var r=t._name,a={};if(\"all\"===e.step)a[r+\".autorange\"]=!0;else{var o=function(t,e){var r,a=t.range,o=new Date(t.r2l(a[1])),s=e.step,l=n[\"utc\"+i(s)],c=e.count;switch(e.stepmode){case\"backward\":r=t.l2r(+l.offset(o,-c));break;case\"todate\":var u=l.offset(o,-c);r=t.l2r(+l.ceil(u))}var 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A.style(\"pointer-events\",k?\"all\":\"none\");T[k]=A}var L=T[0];T[1].node().addEventListener(\"click\",(function(){return function(t,e){if(!h(t))return;var r=+e.node().getAttribute(\"data-index\");if(r>=0){if(r===t._fullLayout._activeSelectionIndex)return void m(t);t._fullLayout._activeSelectionIndex=r,t._fullLayout._deactivateSelection=m,f(t)}}(t,L)}))}(t._fullLayout._selectionLayer)}function d(t,e,r){var n=r.xref+r.yref;s.setClipUrl(t,\"clip\"+e._fullLayout._uid+n,e)}function m(t){h(t)&&(t._fullLayout._activeSelectionIndex>=0&&(a(t),delete t._fullLayout._activeSelectionIndex,f(t)))}e.exports={draw:f,drawOne:p,activateLastSelection:function(t){if(!h(t))return;var e=t._fullLayout.selections.length-1;t._fullLayout._activeSelectionIndex=e,t._fullLayout._deactivateSelection=m,f(t)}}},{\"../../plot_api/plot_template\":555,\"../color\":367,\"../drawing\":389,\"../shapes/display_outlines\":461,\"../shapes/draw_newshape/helpers\":466,\"../shapes/handle_outline\":468,\"../shapes/helpers\":469}],451:[function(t,e,r){\"use strict\";var n=t(\"../../drawing/attributes\").dash,i=t(\"../../../lib/extend\").extendFlat;e.exports={newselection:{mode:{valType:\"enumerated\",values:[\"immediate\",\"gradual\"],dflt:\"immediate\",editType:\"none\"},line:{color:{valType:\"color\",editType:\"none\"},width:{valType:\"number\",min:1,dflt:1,editType:\"none\"},dash:i({},n,{dflt:\"dot\",editType:\"none\"}),editType:\"none\"},editType:\"none\"},activeselection:{fillcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"none\"},opacity:{valType:\"number\",min:0,max:1,dflt:.5,editType:\"none\"},editType:\"none\"}}},{\"../../../lib/extend\":505,\"../../drawing/attributes\":388}],452:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){r(\"newselection.mode\"),r(\"newselection.line.width\")&&(r(\"newselection.line.color\"),r(\"newselection.line.dash\")),r(\"activeselection.fillcolor\"),r(\"activeselection.opacity\")}},{}],453:[function(t,e,r){\"use strict\";var n=t(\"../../dragelement/helpers\").selectMode,i=t(\"../../shapes/handle_outline\").clearOutline,a=t(\"../../shapes/draw_newshape/helpers\"),o=a.readPaths,s=a.writePaths,l=a.fixDatesForPaths;e.exports=function(t,e){if(t.length){var r=t[0][0];if(r){var a=r.getAttribute(\"d\"),c=e.gd,u=c._fullLayout.newselection,f=e.plotinfo,h=f.xaxis,p=f.yaxis,d=e.isActiveSelection,m=e.dragmode,g=(c.layout||{}).selections||[];if(!n(m)&&void 0!==d){var v=c._fullLayout._activeSelectionIndex;if(v<g.length)switch(c._fullLayout.selections[v].type){case\"rect\":m=\"select\";break;case\"path\":m=\"lasso\"}}var y,x=o(a,c,f,d),b={xref:h._id,yref:p._id,opacity:u.opacity,line:{color:u.line.color,width:u.line.width,dash:u.line.dash}};1===x.length&&(y=x[0]),y&&5===y.length&&\"select\"===m?(b.type=\"rect\",b.x0=y[0][1],b.y0=y[0][2],b.x1=y[2][1],b.y1=y[2][2]):(b.type=\"path\",h&&p&&l(x,h,p),b.path=s(x),y=null),i(c);for(var _=e.editHelpers,w=(_||{}).modifyItem,T=[],k=0;k<g.length;k++){var 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n=t(\"./draw\"),i=t(\"./select\");e.exports={moduleType:\"component\",name:\"selections\",layoutAttributes:t(\"./attributes\"),supplyLayoutDefaults:t(\"./defaults\"),supplyDrawNewSelectionDefaults:t(\"./draw_newselection/defaults\"),includeBasePlot:t(\"../../plots/cartesian/include_components\")(\"selections\"),draw:n.draw,drawOne:n.drawOne,reselect:i.reselect,prepSelect:i.prepSelect,clearOutline:i.clearOutline,clearSelectionsCache:i.clearSelectionsCache,selectOnClick:i.selectOnClick}},{\"../../plots/cartesian/include_components\":577,\"./attributes\":447,\"./defaults\":449,\"./draw\":450,\"./draw_newselection/defaults\":452,\"./select\":456}],456:[function(t,e,r){\"use strict\";var n=t(\"polybooljs\"),i=t(\"point-in-polygon/nested\"),a=t(\"../../registry\"),o=t(\"../drawing\").dashStyle,s=t(\"../color\"),l=t(\"../fx\"),c=t(\"../fx/helpers\").makeEventData,u=t(\"../dragelement/helpers\"),f=u.freeMode,h=u.rectMode,p=u.drawMode,d=u.openMode,m=u.selectMode,g=t(\"../shapes/helpers\"),v=t(\"../shapes/constants\"),y=t(\"../shapes/display_outlines\"),x=t(\"../shapes/handle_outline\").clearOutline,b=t(\"../shapes/draw_newshape/helpers\"),_=b.handleEllipse,w=b.readPaths,T=t(\"../shapes/draw_newshape/newshapes\"),k=t(\"./draw_newselection/newselections\"),A=t(\"./draw\").activateLastSelection,M=t(\"../../lib\"),S=M.sorterAsc,E=t(\"../../lib/polygon\"),L=t(\"../../lib/throttle\"),C=t(\"../../plots/cartesian/axis_ids\").getFromId,P=t(\"../../lib/clear_gl_canvases\"),I=t(\"../../plot_api/subroutines\").redrawReglTraces,O=t(\"./constants\"),z=O.MINSELECT,D=E.filter,R=E.tester,F=t(\"./helpers\"),B=F.p2r,N=F.axValue,j=F.getTransform;function U(t){return void 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r=t._fullLayout.shapes[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return!!n?n._hadPlotinfo=!0:(n={},r.xref&&\"paper\"!==r.xref&&(n.xaxis=t._fullLayout[r.xref+\"axis\"]),r.yref&&\"paper\"!==r.yref&&(n.yaxis=t._fullLayout[r.yref+\"axis\"])),n.xsizemode=r.xsizemode,n.ysizemode=r.ysizemode,n.xanchor=r.xanchor,n.yanchor=r.yanchor,{options:r,plotinfo:n}},r.makeSelectionsOptionsAndPlotinfo=function(t,e){var r=t._fullLayout.selections[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return!!n?n._hadPlotinfo=!0:(n={},r.xref&&(n.xaxis=t._fullLayout[r.xref+\"axis\"]),r.yref&&(n.yaxis=t._fullLayout[r.yref+\"axis\"])),{options:r,plotinfo:n}},r.getPathString=function(t,e){var o,s,l,c,u,f,h,p,d=e.type,m=a.getRefType(e.xref),g=a.getRefType(e.yref),v=a.getFromId(t,e.xref),y=a.getFromId(t,e.yref),x=t._fullLayout._size;if(v?\"domain\"===m?s=function(t){return v._offset+v._length*t}:(o=r.shapePositionToRange(v),s=function(t){return v._offset+v.r2p(o(t,!0))}):s=function(t){return 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n=t(\"../../plots/font_attributes\"),i=t(\"../../plots/pad_attributes\"),a=t(\"../../lib/extend\").extendDeepAll,o=t(\"../../plot_api/edit_types\").overrideAll,s=t(\"../../plots/animation_attributes\"),l=t(\"../../plot_api/plot_template\").templatedArray,c=t(\"./constants\"),u=l(\"step\",{visible:{valType:\"boolean\",dflt:!0},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\"},value:{valType:\"string\"},execute:{valType:\"boolean\",dflt:!0}});e.exports=o(l(\"slider\",{visible:{valType:\"boolean\",dflt:!0},active:{valType:\"number\",min:0,dflt:0},steps:u,lenmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"fraction\"},len:{valType:\"number\",min:0,dflt:1},x:{valType:\"number\",min:-2,max:3,dflt:0},pad:a(i({editType:\"arraydraw\"}),{},{t:{dflt:20}}),xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\"},y:{valType:\"number\",min:-2,max:3,dflt:0},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},transition:{duration:{valType:\"number\",min:0,dflt:150},easing:{valType:\"enumerated\",values:s.transition.easing.values,dflt:\"cubic-in-out\"}},currentvalue:{visible:{valType:\"boolean\",dflt:!0},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\"},offset:{valType:\"number\",dflt:10},prefix:{valType:\"string\"},suffix:{valType:\"string\"},font:n({})},font:n({}),activebgcolor:{valType:\"color\",dflt:c.gripBgActiveColor},bgcolor:{valType:\"color\",dflt:c.railBgColor},bordercolor:{valType:\"color\",dflt:c.railBorderColor},borderwidth:{valType:\"number\",min:0,dflt:c.railBorderWidth},ticklen:{valType:\"number\",min:0,dflt:c.tickLength},tickcolor:{valType:\"color\",dflt:c.tickColor},tickwidth:{valType:\"number\",min:0,dflt:1},minorticklen:{valType:\"number\",min:0,dflt:c.minorTickLength}}),\"arraydraw\",\"from-root\")},{\"../../lib/extend\":505,\"../../plot_api/edit_types\":548,\"../../plot_api/plot_template\":555,\"../../plots/animation_attributes\":560,\"../../plots/font_attributes\":594,\"../../plots/pad_attributes\":627,\"./constants\":472}],472:[function(t,e,r){\"use 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L=(m+.5)/84;e.maskBreaks(i*(1-L)+L*p)!==I&&d++}(h*=d/84)||(t[n].drop=!0),s&&u>A&&(h=u)}(h>0||0===n)&&(t[n].periodX=i+h/2)}}(C,t,t._definedDelta),t.rangebreaks){var at=\"y\"===t._id.charAt(0),ot=1;\"auto\"===t.tickmode&&(ot=t.tickfont?t.tickfont.size:12);var st=NaN;for(r=C.length-1;r>-1;r--)if(C[r].drop)C.splice(r,1);else{C[r].value=It(C[r].value,t);var lt=t.c2p(C[r].value);(at?st>lt-ot:st<lt+ot)?C.splice(f?r+1:r,1):st=lt}}Pt(t)&&360===Math.abs(u[1]-u[0])&&C.pop(),t._tmax=(C[C.length-1]||{}).value,t._prevDateHead=\"\",t._inCalcTicks=!0;var ct,ut,ft=function(e){e.text=\"\",t._prevDateHead=n};for(C=C.concat(P),r=0;r<C.length;r++){var ht=C[r].minor,pt=C[r].value;ht?L.push({x:pt,minor:!0}):(n=t._prevDateHead,ct=q.tickText(t,pt,!1,C[r].simpleLabel),void 0!==(ut=C[r].periodX)&&(ct.periodX=ut,(ut>p||ut<h)&&(ut>p&&(ct.periodX=p),ut<h&&(ct.periodX=h),ft(ct))),C[r].skipLabel&&ft(ct),m.push(ct))}return m=m.concat(L),t._inCalcTicks=!1,c&&m.length&&(m[0].noTick=!0),m};var 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l=Math.max(Math.abs(s[0]),Math.abs(s[1])),c=Math.floor(Math.log(l)/Math.LN10+.01),u=void 0===t.minexponent?3:t.minexponent;Math.abs(c)>u&&(mt(t.exponentformat)&&!gt(c)?t._tickexponent=3*Math.round((c-1)/3):t._tickexponent=c)}else t._tickround=null}function pt(t,e,r){var n=t.tickfont||{};return{x:e,dx:0,dy:0,text:r||\"\",fontSize:n.size,font:n.family,fontColor:n.color}}q.autoTicks=function(t,e,r){var n;function a(t){return Math.pow(t,Math.floor(Math.log(e)/Math.LN10))}if(\"date\"===t.type){t.tick0=s.dateTick0(t.calendar,0);var o=2*e;if(o>v)e/=v,n=a(10),t.dtick=\"M\"+12*ft(e,n,it);else if(o>T)e/=T,t.dtick=\"M\"+ft(e,1,at);else if(o>M){if(t.dtick=ft(e,M,t._hasDayOfWeekBreaks?[1,2,7,14]:st),!r){var l=q.getTickFormat(t),c=\"period\"===t.ticklabelmode;c&&(t._rawTick0=t.tick0),/%[uVW]/.test(l)?t.tick0=s.dateTick0(t.calendar,2):t.tick0=s.dateTick0(t.calendar,1),c&&(t._dowTick0=t.tick0)}}else o>E?t.dtick=ft(e,E,at):o>L?t.dtick=ft(e,L,ot):o>C?t.dtick=ft(e,C,ot):(n=a(10),t.dtick=ft(e,n,it))}else if(\"log\"===t.type){t.tick0=0;var u=s.simpleMap(t.range,t.r2l);if(t._isMinor&&(e*=1.5),e>.7)t.dtick=Math.ceil(e);else if(Math.abs(u[1]-u[0])<1){var f=1.5*Math.abs((u[1]-u[0])/e);e=Math.abs(Math.pow(10,u[1])-Math.pow(10,u[0]))/f,n=a(10),t.dtick=\"L\"+ft(e,n,it)}else t.dtick=e>.3?\"D2\":\"D1\"}else\"category\"===t.type||\"multicategory\"===t.type?(t.tick0=0,t.dtick=Math.ceil(Math.max(e,1))):Pt(t)?(t.tick0=0,n=1,t.dtick=ft(e,n,ut)):(t.tick0=0,n=a(10),t.dtick=ft(e,n,it));if(0===t.dtick&&(t.dtick=1),!i(t.dtick)&&\"string\"!=typeof t.dtick){var h=t.dtick;throw t.dtick=1,\"ax.dtick error: \"+String(h)}},q.tickIncrement=function(t,e,r,a){var o=r?-1:1;if(i(e))return s.increment(t,o*e);var l=e.charAt(0),c=o*Number(e.substr(1));if(\"M\"===l)return s.incrementMonth(t,c,a);if(\"L\"===l)return Math.log(Math.pow(10,t)+c)/Math.LN10;if(\"D\"===l){var u=\"D2\"===e?ct:lt,f=t+.01*o,h=s.roundUp(s.mod(f,1),u,r);return Math.floor(f)+Math.log(n.round(Math.pow(10,h),1))/Math.LN10}throw\"unrecognized dtick 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d=String(e.text).charAt(0);\"0\"!==d&&\"1\"!==d||(\"y\"===t._id.charAt(0)?e.dx-=e.fontSize/4:(e.dy+=e.fontSize/2,e.dx+=(t.range[1]>t.range[0]?1:-1)*e.fontSize*(l<0?.5:.25)))}}(t,o,0,c,m):\"category\"===u?function(t,e){var r=t._categories[Math.round(e.x)];void 0===r&&(r=\"\");e.text=String(r)}(t,o):\"multicategory\"===u?function(t,e,r){var n=Math.round(e.x),i=t._categories[n]||[],a=void 0===i[1]?\"\":String(i[1]),o=void 0===i[0]?\"\":String(i[0]);r?e.text=o+\" - \"+a:(e.text=a,e.text2=o)}(t,o,r):Pt(t)?function(t,e,r,n,i){if(\"radians\"!==t.thetaunit||r)e.text=vt(e.x,t,i,n);else{var a=e.x/180;if(0===a)e.text=\"0\";else{var o=function(t){function e(t,e){return Math.abs(t-e)<=1e-6}var r=function(t){for(var r=1;!e(Math.round(t*r)/r,t);)r*=10;return r}(t),n=t*r,i=Math.abs(function t(r,n){return e(n,0)?r:t(n,r%n)}(n,r));return[Math.round(n/i),Math.round(r/i)]}(a);if(o[1]>=100)e.text=vt(s.deg2rad(e.x),t,i,n);else{var 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a=r[n].yaxis;X[a._id]=a}J=Z(V),K=Z(X),it=D(J,v),at=D(K,m),ot=!at&&!it,nt=Y(t,t._fullLayout._axisMatchGroups,V,X);var o=(rt=Y(t,t._fullLayout._axisConstraintGroups,V,X,nt)).isSubplotConstrained||nt.isSubplotConstrained;st=v||o,lt=m||o;var s=t._fullLayout;ct=s._has(\"scattergl\"),ut=s._has(\"splom\"),ft=s._has(\"svg\")}yt();var xt=function(t,e,r){if(!t)return\"pointer\";if(\"nsew\"===t)return r?\"\":\"pan\"===e?\"move\":\"crosshair\";return t.toLowerCase()+\"-resize\"}(at+it,t._fullLayout.dragmode,gt),bt=z(e,m+v+\"drag\",xt,r,s,c,f);if(ot&&!gt)return bt.onmousedown=null,bt.style.pointerEvents=\"none\",bt;var _t,wt,Tt,kt,At,Mt,St,Et,Lt,Ct,Pt={element:bt,gd:t,plotinfo:e};function It(){Pt.plotinfo.selection=!1,M(t)}function Ot(t,r){var i=Pt.gd;if(i._fullLayout._activeShapeIndex>=0)i._fullLayout._deactivateShape(i);else{var o=i._fullLayout.clickmode;if(H(i),2!==t||vt||qt(),gt)o.indexOf(\"select\")>-1&&S(r,i,J,K,e.id,Pt),o.indexOf(\"event\")>-1&&p.click(i,r,e.id);else if(1===t&&vt){var s=m?O:I,c=\"s\"===m||\"w\"===v?0:1,f=s._name+\".range[\"+c+\"]\",h=function(t,e){var r,n=t.range[e],i=Math.abs(n-t.range[1-e]);return\"date\"===t.type?n:\"log\"===t.type?(r=Math.ceil(Math.max(0,-Math.log(i)/Math.LN10))+3,a(\".\"+r+\"g\")(Math.pow(10,n))):(r=Math.floor(Math.log(Math.abs(n))/Math.LN10)-Math.floor(Math.log(i)/Math.LN10)+4,a(\".\"+String(r)+\"g\")(n))}(s,c),d=\"left\",g=\"middle\";if(s.fixedrange)return;m?(g=\"n\"===m?\"top\":\"bottom\",\"right\"===s.side&&(d=\"right\")):\"e\"===v&&(d=\"right\"),i._context.showAxisRangeEntryBoxes&&n.select(bt).call(u.makeEditable,{gd:i,immediate:!0,background:i._fullLayout.paper_bgcolor,text:String(h),fill:s.tickfont?s.tickfont.color:\"#444\",horizontalAlign:d,verticalAlign:g}).on(\"edit\",(function(t){var e=s.d2r(t);void 0!==e&&l.call(\"_guiRelayout\",i,f,e)}))}}}function zt(e,r){if(t._transitioningWithDuration)return!1;var n=Math.max(0,Math.min(tt,pt*e+_t)),i=Math.max(0,Math.min(et,dt*r+wt)),a=Math.abs(n-_t),o=Math.abs(i-wt);function s(){St=\"\",Tt.r=Tt.l,Tt.t=Tt.b,Lt.attr(\"d\",\"M0,0Z\")}if(Tt.l=Math.min(_t,n),Tt.r=Math.max(_t,n),Tt.t=Math.min(wt,i),Tt.b=Math.max(wt,i),rt.isSubplotConstrained)a>P||o>P?(St=\"xy\",a/tt>o/et?(o=a*et/tt,wt>i?Tt.t=wt-o:Tt.b=wt+o):(a=o*tt/et,_t>n?Tt.l=_t-a:Tt.r=_t+a),Lt.attr(\"d\",G(Tt))):s();else if(nt.isSubplotConstrained)if(a>P||o>P){St=\"xy\";var l=Math.min(Tt.l/tt,(et-Tt.b)/et),c=Math.max(Tt.r/tt,(et-Tt.t)/et);Tt.l=l*tt,Tt.r=c*tt,Tt.b=(1-l)*et,Tt.t=(1-c)*et,Lt.attr(\"d\",G(Tt))}else s();else!at||o<Math.min(Math.max(.6*a,C),P)?a<C||!it?s():(Tt.t=0,Tt.b=et,St=\"x\",Lt.attr(\"d\",function(t,e){return\"M\"+(t.l-.5)+\",\"+(e-P-.5)+\"h-3v\"+(2*P+1)+\"h3ZM\"+(t.r+.5)+\",\"+(e-P-.5)+\"h3v\"+(2*P+1)+\"h-3Z\"}(Tt,wt))):!it||a<Math.min(.6*o,P)?(Tt.l=0,Tt.r=tt,St=\"y\",Lt.attr(\"d\",function(t,e){return\"M\"+(e-P-.5)+\",\"+(t.t-.5)+\"v-3h\"+(2*P+1)+\"v3ZM\"+(e-P-.5)+\",\"+(t.b+.5)+\"v3h\"+(2*P+1)+\"v-3Z\"}(Tt,_t))):(St=\"xy\",Lt.attr(\"d\",G(Tt)));Tt.w=Tt.r-Tt.l,Tt.h=Tt.b-Tt.t,St&&(Ct=!0),t._dragged=Ct,U(Et,Lt,Tt,At,Mt,kt),Dt(),t.emit(\"plotly_relayouting\",ht),Mt=!0}function Dt(){ht={},\"xy\"!==St&&\"x\"!==St||(R(J,Tt.l/tt,Tt.r/tt,ht,rt.xaxes),Vt(\"x\",ht)),\"xy\"!==St&&\"y\"!==St||(R(K,(et-Tt.b)/et,(et-Tt.t)/et,ht,rt.yaxes),Vt(\"y\",ht))}function Rt(){Dt(),H(t),Gt(),q(t)}Pt.prepFn=function(e,r,n){var a=Pt.dragmode,s=t._fullLayout.dragmode;s!==a&&(Pt.dragmode=s),yt(),pt=t._fullLayout._invScaleX,dt=t._fullLayout._invScaleY,ot||(gt?e.shiftKey?\"pan\"===s?s=\"zoom\":y(s)||(s=\"pan\"):e.ctrlKey&&(s=\"pan\"):s=\"pan\"),x(s)?Pt.minDrag=1:Pt.minDrag=void 0,y(s)?(Pt.xaxes=J,Pt.yaxes=K,A(e,r,n,Pt,s)):(Pt.clickFn=Ot,y(a)&&It(),ot||(\"zoom\"===s?(Pt.moveFn=zt,Pt.doneFn=Rt,Pt.minDrag=1,function(e,r,n){var a=bt.getBoundingClientRect();_t=r-a.left,wt=n-a.top,t._fullLayout._calcInverseTransform(t);var s=i.apply3DTransform(t._fullLayout._invTransform)(_t,wt);_t=s[0],wt=s[1],Tt={l:_t,r:_t,w:0,t:wt,b:wt,h:0},kt=t._hmpixcount?t._hmlumcount/t._hmpixcount:o(t._fullLayout.plot_bgcolor).getLuminance(),Mt=!1,St=\"xy\",Ct=!1,Et=N(mt,kt,Q,$,At=\"M0,0H\"+tt+\"V\"+et+\"H0V0\"),Lt=j(mt,Q,$)}(0,r,n)):\"pan\"===s&&(Pt.moveFn=Ut,Pt.doneFn=Gt))),t._fullLayout._redrag=function(){var e=t._dragdata;if(e&&e.element===bt){var r=t._fullLayout.dragmode;y(r)||(yt(),Yt([0,0,tt,et]),Pt.moveFn(e.dx,e.dy))}}},g.init(Pt);var Ft=[0,0,tt,et],Bt=null,Nt=L.REDRAWDELAY,jt=e.mainplot?t._fullLayout._plots[e.mainplot]:e;function Ut(e,r){if(e*=pt,r*=dt,!t._transitioningWithDuration){if(t._fullLayout._replotting=!0,\"ew\"===it||\"ns\"===at){var n=it?-e:0,i=at?-r:0;if(nt.isSubplotConstrained){if(it&&at){var a=(e/tt-r/et)/2;n=-(e=a*tt),i=-(r=-a*et)}at?n=-i*tt/et:i=-n*et/tt}return it&&(F(J,e),Vt(\"x\")),at&&(F(K,r),Vt(\"y\")),Yt([n,i,tt,et]),Ht(),void t.emit(\"plotly_relayouting\",ht)}var o,s,l=\"w\"===it==(\"n\"===at)?1:-1;if(it&&at&&(rt.isSubplotConstrained||nt.isSubplotConstrained)){var c=(e/tt+l*r/et)/2;e=c*tt,r=l*c*et}if(\"w\"===it?e=p(J,0,e):\"e\"===it?e=p(J,1,-e):it||(e=0),\"n\"===at?r=p(K,1,r):\"s\"===at?r=p(K,0,-r):at||(r=0),o=\"w\"===it?e:0,s=\"n\"===at?r:0,rt.isSubplotConstrained&&!nt.isSubplotConstrained||nt.isSubplotConstrained&&it&&at&&l>0){var u;if(nt.isSubplotConstrained||!it&&1===at.length){for(u=0;u<J.length;u++)J[u].range=J[u]._r.slice(),E(J[u],1-r/et);o=(e=r*tt/et)/2}if(nt.isSubplotConstrained||!at&&1===it.length){for(u=0;u<K.length;u++)K[u].range=K[u]._r.slice(),E(K[u],1-e/tt);s=(r=e*et/tt)/2}}nt.isSubplotConstrained&&at||Vt(\"x\"),nt.isSubplotConstrained&&it||Vt(\"y\");var f=tt-e,h=et-r;!nt.isSubplotConstrained||it&&at||(it?(s=o?0:e*et/tt,h=f*et/tt):(o=s?0:r*tt/et,f=h*tt/et)),Yt([o,s,f,h]),Ht(),t.emit(\"plotly_relayouting\",ht)}function p(t,e,r){for(var n,i,a=1-e,o=0;o<t.length;o++){var s=t[o];if(!s.fixedrange){n=s,i=s._rl[a]+(s._rl[e]-s._rl[a])/B(r/s._length);var l=s.l2r(i);!1!==l&&void 0!==l&&(s.range[e]=l)}}return n._length*(n._rl[e]-i)/(n._rl[e]-n._rl[a])}}function Vt(t,e){for(var r=nt.isSubplotConstrained?{x:K,y:J}[t]:nt[t+\"axes\"],n=nt.isSubplotConstrained?{x:J,y:K}[t]:[],i=0;i<r.length;i++){var a=r[i],o=a._id,s=nt.xLinks[o]||nt.yLinks[o],l=n[0]||V[s]||X[s];l&&(e?(e[a._name+\".range[0]\"]=e[l._name+\".range[0]\"],e[a._name+\".range[1]\"]=e[l._name+\".range[1]\"]):a.range=l.range.slice())}}function Ht(){var e,r=[];function n(t){for(e=0;e<t.length;e++)t[e].fixedrange||r.push(t[e]._id)}for(st&&(n(J),n(rt.xaxes),n(nt.xaxes)),lt&&(n(K),n(rt.yaxes),n(nt.yaxes)),ht={},e=0;e<r.length;e++){var i=r[e],a=k(t,i);d.drawOne(t,a,{skipTitle:!0}),ht[a._name+\".range[0]\"]=a.range[0],ht[a._name+\".range[1]\"]=a.range[1]}d.redrawComponents(t,r)}function qt(){if(!t._transitioningWithDuration){var e=t._context.doubleClick,r=[];it&&(r=r.concat(J)),at&&(r=r.concat(K)),nt.xaxes&&(r=r.concat(nt.xaxes)),nt.yaxes&&(r=r.concat(nt.yaxes));var n,i,a,o={};if(\"reset+autosize\"===e)for(e=\"autosize\",i=0;i<r.length;i++)if((n=r[i])._rangeInitial&&(n.range[0]!==n._rangeInitial[0]||n.range[1]!==n._rangeInitial[1])||!n._rangeInitial&&!n.autorange){e=\"reset\";break}if(\"autosize\"===e)for(i=0;i<r.length;i++)(n=r[i]).fixedrange||(o[n._name+\".autorange\"]=!0);else if(\"reset\"===e)for((it||rt.isSubplotConstrained)&&(r=r.concat(rt.xaxes)),at&&!rt.isSubplotConstrained&&(r=r.concat(rt.yaxes)),rt.isSubplotConstrained&&(it?at||(r=r.concat(K)):r=r.concat(J)),i=0;i<r.length;i++)(n=r[i]).fixedrange||(n._rangeInitial?(a=n._rangeInitial,o[n._name+\".range[0]\"]=a[0],o[n._name+\".range[1]\"]=a[1]):o[n._name+\".autorange\"]=!0);t.emit(\"plotly_doubleclick\",null),l.call(\"_guiRelayout\",t,o)}}function Gt(){Yt([0,0,tt,et]),i.syncOrAsync([T.previousPromises,function(){t._fullLayout._replotting=!1,l.call(\"_guiRelayout\",t,ht)}],t)}function Yt(e){var r,n,a,o,s=t._fullLayout,c=s._plots,u=s._subplots.cartesian;if(ut&&l.subplotsRegistry.splom.drag(t),ct)for(r=0;r<u.length;r++)if(a=(n=c[u[r]]).xaxis,o=n.yaxis,n._scene){var f=i.simpleMap(a.range,a.r2l),p=i.simpleMap(o.range,o.r2l);n._scene.update({range:[f[0],p[0],f[1],p[1]]})}if((ut||ct)&&(_(t),w(t)),ft){var d=e[2]/I._length,g=e[3]/O._length;for(r=0;r<u.length;r++){a=(n=c[u[r]]).xaxis,o=n.yaxis;var y,x,b,T,k=(st||nt.isSubplotConstrained)&&!a.fixedrange&&V[a._id],A=(lt||nt.isSubplotConstrained)&&!o.fixedrange&&X[o._id];if(k?(y=d,b=v||nt.isSubplotConstrained?e[0]:Xt(a,y)):nt.xaHash[a._id]?(y=d,b=e[0]*a._length/I._length):nt.yaHash[a._id]?(y=g,b=\"ns\"===at?-e[1]*a._length/O._length:Xt(a,y,{n:\"top\",s:\"bottom\"}[at])):b=Zt(a,y=Wt(a,d,g)),A?(x=g,T=m||nt.isSubplotConstrained?e[1]:Xt(o,x)):nt.yaHash[o._id]?(x=g,T=e[1]*o._length/O._length):nt.xaHash[o._id]?(x=d,T=\"ew\"===it?-e[0]*o._length/I._length:Xt(o,x,{e:\"right\",w:\"left\"}[it])):T=Zt(o,x=Wt(o,d,g)),y||x){y||(y=1),x||(x=1);var M=a._offset-b/y,S=o._offset-T/x;n.clipRect.call(h.setTranslate,b,T).call(h.setScale,y,x),n.plot.call(h.setTranslate,M,S).call(h.setScale,1/y,1/x),y===n.xScaleFactor&&x===n.yScaleFactor||(h.setPointGroupScale(n.zoomScalePts,y,x),h.setTextPointsScale(n.zoomScaleTxt,y,x)),h.hideOutsideRangePoints(n.clipOnAxisFalseTraces,n),n.xScaleFactor=y,n.yScaleFactor=x}}}}function Wt(t,e,r){return t.fixedrange?0:st&&rt.xaHash[t._id]?e:lt&&(rt.isSubplotConstrained?rt.xaHash:rt.yaHash)[t._id]?r:0}function Zt(t,e){return e?(t.range=t._r.slice(),E(t,e),Xt(t,e)):0}function Xt(t,e,r){return t._length*(1-e)*b[r||t.constraintoward||\"middle\"]}return m.length*v.length!=1&&W(bt,(function(e){if(t._context._scrollZoom.cartesian||t._fullLayout._enablescrollzoom){if(It(),t._transitioningWithDuration)return e.preventDefault(),void e.stopPropagation();yt(),clearTimeout(Bt);var r=-e.deltaY;if(isFinite(r)||(r=e.wheelDelta/10),isFinite(r)){var n,a=Math.exp(-Math.min(Math.max(r,-20),20)/200),o=jt.draglayer.select(\".nsewdrag\").node().getBoundingClientRect(),s=(e.clientX-o.left)/o.width,l=(o.bottom-e.clientY)/o.height;if(st){for(v||(s=.5),n=0;n<J.length;n++)c(J[n],s,a);Vt(\"x\"),Ft[2]*=a,Ft[0]+=Ft[2]*s*(1/a-1)}if(lt){for(m||(l=.5),n=0;n<K.length;n++)c(K[n],l,a);Vt(\"y\"),Ft[3]*=a,Ft[1]+=Ft[3]*(1-l)*(1/a-1)}Yt(Ft),Ht(),t.emit(\"plotly_relayouting\",ht),Bt=setTimeout((function(){t._fullLayout&&(Ft=[0,0,tt,et],Gt())}),Nt),e.preventDefault()}else i.log(\"Did not find wheel motion attributes: \",e)}function c(t,e,r){if(!t.fixedrange){var n=i.simpleMap(t.range,t.r2l),a=n[0]+(n[1]-n[0])*e;t.range=n.map((function(e){return t.l2r(a+(e-a)*r)}))}}})),bt},makeDragger:O,makeRectDragger:z,makeZoombox:N,makeCorners:j,updateZoombox:U,xyCorners:G,transitionZoombox:V,removeZoombox:H,showDoubleClickNotifier:q,attachWheelEventHandler:W}},{\"../../components/color\":367,\"../../components/dragelement\":386,\"../../components/dragelement/helpers\":385,\"../../components/drawing\":389,\"../../components/fx\":407,\"../../components/selections\":455,\"../../constants/alignment\":483,\"../../lib\":515,\"../../lib/clear_gl_canvases\":499,\"../../lib/setcursor\":536,\"../../lib/svg_text_utils\":541,\"../../plot_api/subroutines\":556,\"../../registry\":647,\"../plots\":628,\"./axes\":566,\"./axis_ids\":570,\"./constants\":573,\"./scale_zoom\":584,\"@plotly/d3\":58,\"has-passive-events\":229,tinycolor2:313}],576:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../components/fx\"),a=t(\"../../components/dragelement\"),o=t(\"../../lib/setcursor\"),s=t(\"./dragbox\").makeDragBox,l=t(\"./constants\").DRAGGERSIZE;r.initInteractions=function(t){var e=t._fullLayout;if(t._context.staticPlot)n.select(t).selectAll(\".drag\").remove();else if(e._has(\"cartesian\")||e._has(\"splom\")){Object.keys(e._plots||{}).sort((function(t,r){if((e._plots[t].mainplot&&!0)===(e._plots[r].mainplot&&!0)){var n=t.split(\"y\"),i=r.split(\"y\");return n[0]===i[0]?Number(n[1]||1)-Number(i[1]||1):Number(n[0]||1)-Number(i[0]||1)}return e._plots[t].mainplot?1:-1})).forEach((function(r){var n=e._plots[r],o=n.xaxis,c=n.yaxis;if(!n.mainplot){var 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n=t(\"@plotly/d3\"),i=t(\"d3-geo\"),a=i.geoPath,o=i.geoDistance,s=t(\"d3-geo-projection\"),l=t(\"../../registry\"),c=t(\"../../lib\"),u=c.strTranslate,f=t(\"../../components/color\"),h=t(\"../../components/drawing\"),p=t(\"../../components/fx\"),d=t(\"../plots\"),m=t(\"../cartesian/axes\"),g=t(\"../cartesian/autorange\").getAutoRange,v=t(\"../../components/dragelement\"),y=t(\"../../components/selections\").prepSelect,x=t(\"../../components/selections\").clearOutline,b=t(\"../../components/selections\").selectOnClick,_=t(\"./zoom\"),w=t(\"./constants\"),T=t(\"../../lib/geo_location_utils\"),k=t(\"../../lib/topojson_utils\"),A=t(\"topojson-client\").feature;function 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r=this.graphDiv,n=e[this.id],l=e._size,u=n.domain,f=n.projection,h=n.lonaxis,p=n.lataxis,d=h._ax,m=p._ax,v=this.projection=function(t){var e=t.projection,r=e.type,n=w.projNames[r];n=\"geo\"+c.titleCase(n);for(var l=(i[n]||s[n])(),u=t._isSatellite?180*Math.acos(1/e.distance)/Math.PI:t._isClipped?w.lonaxisSpan[r]/2:null,f=[\"center\",\"rotate\",\"parallels\",\"clipExtent\"],h=function(t){return t?l:[]},p=0;p<f.length;p++){var d=f[p];\"function\"!=typeof l[d]&&(l[d]=h)}l.isLonLatOverEdges=function(t){if(null===l(t))return!0;if(u){var e=l.rotate();return o(t,[-e[0],-e[1]])>u*Math.PI/180}return!1},l.getPath=function(){return a().projection(l)},l.getBounds=function(t){return l.getPath().bounds(t)},l.precision(w.precision),t._isSatellite&&l.tilt(e.tilt).distance(e.distance);u&&l.clipAngle(u-w.clipPad);return l}(n),y=[[l.l+l.w*u.x[0],l.t+l.h*(1-u.y[1])],[l.l+l.w*u.x[1],l.t+l.h*(1-u.y[0])]],x=n.center||{},b=f.rotation||{},_=h.range||[],T=p.range||[];if(n.fitbounds){d._length=y[1][0]-y[0][0],m._length=y[1][1]-y[0][1],d.range=g(r,d),m.range=g(r,m);var k=(d.range[0]+d.range[1])/2,A=(m.range[0]+m.range[1])/2;if(n._isScoped)x={lon:k,lat:A};else if(n._isClipped){x={lon:k,lat:A},b={lon:k,lat:A,roll:b.roll};var M=f.type,S=w.lonaxisSpan[M]/2||180,L=w.lataxisSpan[M]/2||90;_=[k-S,k+S],T=[A-L,A+L]}else x={lon:k,lat:A},b={lon:k,lat:b.lat,roll:b.roll}}v.center([x.lon-b.lon,x.lat-b.lat]).rotate([-b.lon,-b.lat,b.roll]).parallels(f.parallels);var C=E(_,T);v.fitExtent(y,C);var P=this.bounds=v.getBounds(C),I=this.fitScale=v.scale(),O=v.translate();if(n.fitbounds){var z=v.getBounds(E(d.range,m.range)),D=Math.min((P[1][0]-P[0][0])/(z[1][0]-z[0][0]),(P[1][1]-P[0][1])/(z[1][1]-z[0][1]));isFinite(D)?v.scale(D*I):c.warn(\"Something went wrong during\"+this.id+\"fitbounds computations.\")}else v.scale(f.scale*I);var 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e=a[t]=n.select(this);\"bg\"===t?r.bgRect=e.append(\"rect\").style(\"pointer-events\",\"all\"):s(t)?o[t]=e.append(\"path\").style(\"fill\",\"none\"):\"backplot\"===t?e.append(\"g\").classed(\"choroplethlayer\",!0):\"frontplot\"===t?e.append(\"g\").classed(\"scatterlayer\",!0):l(t)?o[t]=e.append(\"path\").style(\"fill\",\"none\").style(\"stroke-miterlimit\",2):c(t)&&(o[t]=e.append(\"path\").style(\"stroke\",\"none\"))})),p.order(),p.each((function(r){var n=o[r],a=w.layerNameToAdjective[r];\"frame\"===r?n.datum(w.sphereSVG):l(r)||c(r)?n.datum(A(i,i.objects[r])):s(r)&&n.datum(function(t,e,r){var n,i,a,o=e[t],s=w.scopeDefaults[e.scope];\"lonaxis\"===t?(n=s.lonaxisRange,i=s.lataxisRange,a=function(t,e){return[t,e]}):\"lataxis\"===t&&(n=s.lataxisRange,i=s.lonaxisRange,a=function(t,e){return[e,t]});var l={type:\"linear\",range:[n[0],n[1]-1e-6],tick0:o.tick0,dtick:o.dtick};m.setConvert(l,r);var c=m.calcTicks(l);e.isScoped||\"lonaxis\"!==t||c.pop();for(var u=c.length,f=new Array(u),h=0;h<u;h++)for(var p=c[h].x,d=f[h]=[],g=i[0];g<i[1]+2.5;g+=2.5)d.push(a(p,g));return{type:\"MultiLineString\",coordinates:f}}(r,e,t)).call(f.stroke,e[r].gridcolor).call(h.dashLine,e[r].griddash,e[r].gridwidth),l(r)?n.call(f.stroke,e[a+\"color\"]).call(h.dashLine,\"\",e[a+\"width\"]):c(r)&&n.call(f.fill,e[a+\"color\"])}))},S.updateDims=function(t,e){var r=this.bounds,n=(e.framewidth||0)/2,i=r[0][0]-n,a=r[0][1]-n,o=r[1][0]-i+n,s=r[1][1]-a+n;h.setRect(this.clipRect,i,a,o,s),this.bgRect.call(h.setRect,i,a,o,s).call(f.fill,e.bgcolor),this.xaxis._offset=i,this.xaxis._length=o,this.yaxis._offset=a,this.yaxis._length=s},S.updateFx=function(t,e){var r=this,i=r.graphDiv,a=r.bgRect,o=t.dragmode,s=t.clickmode;if(!r.isStatic){var u={element:r.bgRect.node(),gd:i,plotinfo:{id:r.id,xaxis:r.xaxis,yaxis:r.yaxis,fillRangeItems:function(t,e){e.isRect?(t.range={})[r.id]=[f([e.xmin,e.ymin]),f([e.xmax,e.ymax])]:(t.lassoPoints={})[r.id]=e.map(f)}},xaxes:[r.xaxis],yaxes:[r.yaxis],subplot:r.id,clickFn:function(t){2===t&&x(i)}};\"pan\"===o?(a.node().onmousedown=null,a.call(_(r,e)),a.on(\"dblclick.zoom\",(function(){var t=r.viewInitial,e={};for(var n in t)e[r.id+\".\"+n]=t[n];l.call(\"_guiRelayout\",i,e),i.emit(\"plotly_doubleclick\",null)})),i._context._scrollZoom.geo||a.on(\"wheel.zoom\",null)):\"select\"!==o&&\"lasso\"!==o||(a.on(\".zoom\",null),u.prepFn=function(t,e,r){y(t,e,r,u,o)},v.init(u)),a.on(\"mousemove\",(function(){var t=r.projection.invert(c.getPositionFromD3Event());if(!t)return v.unhover(i,n.event);r.xaxis.p2c=function(){return t[0]},r.yaxis.p2c=function(){return 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l(t,e){this.element=t,this.plot=e,this.mouseListener=null,this.wheelListener=null,this.lastInputTime=Date.now(),this.lastPos=[0,0],this.boxEnabled=!1,this.boxInited=!1,this.boxStart=[0,0],this.boxEnd=[0,0],this.dragStart=[0,0]}e.exports=function(t){var e=t.mouseContainer,r=t.glplot,c=new l(e,r);function u(){t.xaxis.autorange=!1,t.yaxis.autorange=!1}function f(e,n,i){var a,s,l=t.calcDataBox(),f=r.viewBox,h=c.lastPos[0],p=c.lastPos[1],d=o.MINDRAG*r.pixelRatio,m=o.MINZOOM*r.pixelRatio;function g(e,r,n){var i=Math.min(r,n),a=Math.max(r,n);i!==a?(l[e]=i,l[e+2]=a,c.dataBox=l,t.setRanges(l)):(t.selectBox.selectBox=[0,0,1,1],t.glplot.setDirty())}switch(n*=r.pixelRatio,i*=r.pixelRatio,i=f[3]-f[1]-i,t.fullLayout.dragmode){case\"zoom\":if(e){var v=n/(f[2]-f[0])*(l[2]-l[0])+l[0],y=i/(f[3]-f[1])*(l[3]-l[1])+l[1];c.boxInited||(c.boxStart[0]=v,c.boxStart[1]=y,c.dragStart[0]=n,c.dragStart[1]=i),c.boxEnd[0]=v,c.boxEnd[1]=y,c.boxInited=!0,c.boxEnabled||c.boxStart[0]===c.boxEnd[0]&&c.boxStart[1]===c.boxEnd[1]||(c.boxEnabled=!0);var x=Math.abs(c.dragStart[0]-n)<m,b=Math.abs(c.dragStart[1]-i)<m;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,i=0;i<e.length;i++)if(-1!==e[i][r]){if(-1!==e[i][n])return!0;break}return!1}()||x&&b)x&&(c.boxEnd[0]=c.boxStart[0]),b&&(c.boxEnd[1]=c.boxStart[1]);else{a=c.boxEnd[0]-c.boxStart[0],s=c.boxEnd[1]-c.boxStart[1];var _=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*_)>Math.abs(s)?(c.boxEnd[1]=c.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),c.boxEnd[1]<l[1]?(c.boxEnd[1]=l[1],c.boxEnd[0]=c.boxStart[0]+(l[1]-c.boxStart[1])/Math.abs(_)):c.boxEnd[1]>l[3]&&(c.boxEnd[1]=l[3],c.boxEnd[0]=c.boxStart[0]+(l[3]-c.boxStart[1])/Math.abs(_))):(c.boxEnd[0]=c.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),c.boxEnd[0]<l[0]?(c.boxEnd[0]=l[0],c.boxEnd[1]=c.boxStart[1]+(l[0]-c.boxStart[0])*Math.abs(_)):c.boxEnd[0]>l[2]&&(c.boxEnd[0]=l[2],c.boxEnd[1]=c.boxStart[1]+(l[2]-c.boxStart[0])*Math.abs(_)))}}else c.boxEnabled?(a=c.boxStart[0]!==c.boxEnd[0],s=c.boxStart[1]!==c.boxEnd[1],a||s?(a&&(g(0,c.boxStart[0],c.boxEnd[0]),t.xaxis.autorange=!1),s&&(g(1,c.boxStart[1],c.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),c.boxEnabled=!1,c.boxInited=!1):c.boxInited&&(c.boxInited=!1);break;case\"pan\":c.boxEnabled=!1,c.boxInited=!1,e?(c.panning||(c.dragStart[0]=n,c.dragStart[1]=i),Math.abs(c.dragStart[0]-n)<d&&(n=c.dragStart[0]),Math.abs(c.dragStart[1]-i)<d&&(i=c.dragStart[1]),a=(h-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-i)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=a,l[2]+=a,l[1]+=s,l[3]+=s,t.setRanges(l),c.panning=!0,c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations()):c.panning&&(c.panning=!1,t.relayoutCallback())}c.lastPos[0]=n,c.lastPos[1]=i}return c.mouseListener=n(e,f),e.addEventListener(\"touchstart\",(function(t){var r=a(t.changedTouches[0],e);f(0,r[0],r[1]),f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchmove\",(function(t){t.preventDefault();var r=a(t.changedTouches[0],e);f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchend\",(function(t){f(0,c.lastPos[0],c.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),c.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=c.lastPos[0],s=c.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),f=o/(a[2]-a[0])*(i[2]-i[0])+i[0],h=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-f)*l+f,i[2]=(i[2]-f)*l+f,i[1]=(i[1]-h)*l+h,i[3]=(i[3]-h)*l+h,t.setRanges(i),c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),c}},{\"../cartesian/constants\":573,\"has-passive-events\":229,\"mouse-change\":241,\"mouse-event-offset\":242,\"mouse-wheel\":244}],604:[function(t,e,r){\"use strict\";var n=t(\"../cartesian/axes\"),i=t(\"../../lib/str2rgbarray\");function a(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\"x\",\"y\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\"sans-serif\",\"sans-serif\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\"\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\"sans-serif\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=a.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,a,o,l,c,u,f,h,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),h=0;h<2;++h){var d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\"\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;c=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!c,l=this.hasAxisInAltrPos(e,r)&&!c,a=r.mirror||!1,u=c?-1!==String(a).indexOf(\"all\"):!!a,f=c?\"allticks\"===a:-1!==String(a).indexOf(\"ticks\"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||u)&&(this.borderLineEnable[h]=r.showline),(l||u)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},o.getLabelPad=function(t,e){var r=e.title.font.size,n=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?r*(1.5+(n?1:0))-10:r*(1.5+(n?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+r*(1.5+(n?1:.5)):10+r*(1.5+(n?.5:0)):void 0},o.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},e.exports=function(t){return new a(t)}},{\"../../lib/str2rgbarray\":540,\"../cartesian/axes\":566}],605:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"./scene2d\"),a=t(\"../layout_attributes\"),o=t(\"../../constants/xmlns_namespaces\"),s=t(\"../cartesian/constants\"),l=t(\"../cartesian\"),c=t(\"../../components/fx/layout_attributes\"),u=t(\"../get_data\").getSubplotData;r.name=\"gl2d\",r.attr=[\"xaxis\",\"yaxis\"],r.idRoot=[\"x\",\"y\"],r.idRegex=s.idRegex,r.attrRegex=s.attrRegex,r.attributes=t(\"../cartesian/attributes\"),r.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},r.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),r.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:c.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=u(r,\"gl2d\",o),c=s._scene2d;void 0===c&&(c=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];if(s._scene2d){var c=u(t,\"gl2d\",o);0===c.length&&(s._scene2d.destroy(),delete n._plots[o])}}l.clean.apply(this,arguments)},r.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":a,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),i.destroy()}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){e._plots[r[n]]._scene2d.updateFx(e.dragmode)}}},{\"../../components/fx/layout_attributes\":408,\"../../constants/xmlns_namespaces\":492,\"../../plot_api/edit_types\":548,\"../cartesian\":578,\"../cartesian/attributes\":564,\"../cartesian/constants\":573,\"../get_data\":602,\"../layout_attributes\":619,\"./scene2d\":606}],606:[function(t,e,r){\"use strict\";var n,i,a=t(\"../../registry\"),o=t(\"../../plots/cartesian/axes\"),s=t(\"../../components/fx\"),l=t(\"../../../stackgl_modules\").gl_plot2d,c=t(\"../../../stackgl_modules\").gl_spikes2d,u=t(\"../../../stackgl_modules\").gl_select_box,f=t(\"webgl-context\"),h=t(\"./convert\"),p=t(\"./camera\"),d=t(\"../../lib/show_no_webgl_msg\"),m=t(\"../cartesian/constraints\"),g=m.enforce,v=m.clean,y=t(\"../cartesian/autorange\").doAutoRange,x=t(\"../../components/dragelement/helpers\"),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=t(\"../cartesian/constants\").SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=c(this.glplot),this.selectBox=u(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}e.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement(\"canvas\"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r);var a=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},A.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=a[4*(r*o+l)+c];a[4*(r*o+l)+c]=a[4*(r*s+l)+c],a[4*(r*s+l)+c]=u}var f=document.createElement(\"canvas\");f.width=r,f.height=i;var h,p=f.getContext(\"2d\",{willReadFrequently:!0}),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case\"jpeg\":h=f.toDataURL(\"image/jpeg\");break;case\"webp\":h=f.toDataURL(\"image/webp\");break;default:h=f.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),h},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+\".range\"]=e.range.slice(),s=i[r._name+\".range\"]=r.range.slice();i[e._name+\".autorange\"]=e.autorange,i[r._name+\".autorange\"]=r.autorange,a.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var c=n[r._name];c.range=s,c.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};v(s,this.xaxis),v(s,this.yaxis);var l,c,u=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[u.l+f[0]*u.w,u.b+h[0]*u.h,i-u.r-(1-f[1])*u.w,a-u.t-(1-h[1])*u.h],this.mouseContainer.style.width=u.w*(f[1]-f[0])+\"px\",this.mouseContainer.style.height=u.h*(h[1]-h[0])+\"px\",this.mouseContainer.height=u.h*(h[1]-h[0]),this.mouseContainer.style.left=u.l+f[0]*u.w+\"px\",this.mouseContainer.style.top=u.t+(1-h[1])*u.h+\"px\",c=0;c<2;++c)(l=this[w[c]])._length=o.viewBox[c+2]-o.viewBox[c],y(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],c=this.traces[i.uid];c?c.update(i,l):(c=i._module.plot(this,i,l),this.traces[i.uid]=c)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},A.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},A.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var c=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var m=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),m.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var g=this.fullData[m.trace.index]||{},v=m.pointIndex,y=s.castHoverinfo(g,i,v);if(y&&\"all\"!==y){var x=y.split(\"+\");-1===x.indexOf(\"x\")&&(m.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(m.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(m.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(m.textLabel=void 0),-1===x.indexOf(\"name\")&&(m.name=void 0)}s.loneHover({x:m.screenCoord[0],y:m.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",m.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",m.traceCoord[1]),zLabel:m.traceCoord[2],text:m.textLabel,name:m.name,color:s.castHoverOption(g,v,\"bgcolor\")||m.color,borderColor:s.castHoverOption(g,v,\"bordercolor\"),fontFamily:s.castHoverOption(g,v,\"font.family\"),fontSize:s.castHoverOption(g,v,\"font.size\"),fontColor:s.castHoverOption(g,v,\"font.color\"),nameLength:s.castHoverOption(g,v,\"namelength\"),textAlign:s.castHoverOption(g,v,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},{\"../../../stackgl_modules\":1133,\"../../components/dragelement/helpers\":385,\"../../components/fx\":407,\"../../lib/show_no_webgl_msg\":537,\"../../plots/cartesian/axes\":566,\"../../registry\":647,\"../cartesian/autorange\":565,\"../cartesian/constants\":573,\"../cartesian/constraints\":574,\"./camera\":603,\"./convert\":604,\"webgl-context\":332}],607:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"../../components/fx/layout_attributes\"),a=t(\"./scene\"),o=t(\"../get_data\").getSubplotData,s=t(\"../../lib\"),l=t(\"../../constants/xmlns_namespaces\");r.name=\"gl3d\",r.attr=\"scene\",r.idRoot=\"scene\",r.idRegex=r.attrRegex=s.counterRegex(\"scene\"),r.attributes=t(\"./layout/attributes\"),r.layoutAttributes=t(\"./layout/layout_attributes\"),r.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),r.supplyLayoutDefaults=t(\"./layout/defaults\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,i=0;i<n.length;i++){var s=n[i],l=o(r,\"gl3d\",s),c=e[s],u=c.camera,f=c._scene;f||(f=new a({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},e),c._scene=f),f.viewInitial||(f.viewInitial={up:{x:u.up.x,y:u.up.y,z:u.up.z},eye:{x:u.eye.x,y:u.eye.y,z:u.eye.z},center:{x:u.center.x,y:u.center.y,z:u.center.z}}),f.plot(l,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl3d||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,c=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),\"scene\"+e}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++){e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}}},{\"../../components/fx/layout_attributes\":408,\"../../constants/xmlns_namespaces\":492,\"../../lib\":515,\"../../plot_api/edit_types\":548,\"../get_data\":602,\"./layout/attributes\":608,\"./layout/defaults\":612,\"./layout/layout_attributes\":613,\"./scene\":617}],608:[function(t,e,r){\"use strict\";e.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},{}],609:[function(t,e,r){\"use strict\";var n=t(\"../../../components/color\"),i=t(\"../../cartesian/layout_attributes\"),a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../plot_api/edit_types\").overrideAll;e.exports=o({visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,rangemode:i.rangemode,range:a({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:i.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},\"plot\",\"from-root\")},{\"../../../components/color\":367,\"../../../lib/extend\":505,\"../../../plot_api/edit_types\":548,\"../../cartesian/layout_attributes\":579}],610:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,i=t(\"../../../lib\"),a=t(\"../../../plot_api/plot_template\"),o=t(\"./axis_attributes\"),s=t(\"../../cartesian/type_defaults\"),l=t(\"../../cartesian/axis_defaults\"),c=[\"xaxis\",\"yaxis\",\"zaxis\"];e.exports=function(t,e,r){var u,f;function h(t,e){return i.coerce(u,f,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(u,f,h,r),l(u,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h(\"gridcolor\",n(f.color,r.bgColor,13600/187).toRgbString()),h(\"title.text\",d[0]),f.setScale=i.noop,h(\"showspikes\")&&(h(\"spikesides\"),h(\"spikethickness\"),h(\"spikecolor\",f.color)),h(\"showaxeslabels\"),h(\"showbackground\")&&h(\"backgroundcolor\")}}},{\"../../../lib\":515,\"../../../plot_api/plot_template\":555,\"../../cartesian/axis_defaults\":568,\"../../cartesian/type_defaults\":591,\"./axis_attributes\":609,tinycolor2:313}],611:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),i=t(\"../../../lib\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=0;r<3;++r){var o=e[a[r]];o.visible?(this.labels[r]=t._meta?i.templateString(o.title.text,t._meta):o.title.text,\"font\"in o.title&&(o.title.font.color&&(this.labelColor[r]=n(o.title.font.color)),o.title.font.family&&(this.labelFont[r]=o.title.font.family),o.title.font.size&&(this.labelSize[r]=o.title.font.size)),\"showline\"in o&&(this.lineEnable[r]=o.showline),\"linecolor\"in o&&(this.lineColor[r]=n(o.linecolor)),\"linewidth\"in o&&(this.lineWidth[r]=o.linewidth),\"showgrid\"in o&&(this.gridEnable[r]=o.showgrid),\"gridcolor\"in o&&(this.gridColor[r]=n(o.gridcolor)),\"gridwidth\"in o&&(this.gridWidth[r]=o.gridwidth),\"log\"===o.type?this.zeroEnable[r]=!1:\"zeroline\"in o&&(this.zeroEnable[r]=o.zeroline),\"zerolinecolor\"in o&&(this.zeroLineColor[r]=n(o.zerolinecolor)),\"zerolinewidth\"in o&&(this.zeroLineWidth[r]=o.zerolinewidth),\"ticks\"in o&&o.ticks?this.lineTickEnable[r]=!0:this.lineTickEnable[r]=!1,\"ticklen\"in o&&(this.lineTickLength[r]=this._defaultLineTickLength[r]=o.ticklen),\"tickcolor\"in o&&(this.lineTickColor[r]=n(o.tickcolor)),\"tickwidth\"in o&&(this.lineTickWidth[r]=o.tickwidth),\"tickangle\"in o&&(this.tickAngle[r]=\"auto\"===o.tickangle?-3600:Math.PI*-o.tickangle/180),\"showticklabels\"in o&&(this.tickEnable[r]=o.showticklabels),\"tickfont\"in o&&(o.tickfont.color&&(this.tickColor[r]=n(o.tickfont.color)),o.tickfont.family&&(this.tickFont[r]=o.tickfont.family),o.tickfont.size&&(this.tickSize[r]=o.tickfont.size)),\"mirror\"in o?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(o.mirror)?(this.lineTickMirror[r]=!0,this.lineMirror[r]=!0):!0===o.mirror?(this.lineTickMirror[r]=!1,this.lineMirror[r]=!0):(this.lineTickMirror[r]=!1,this.lineMirror[r]=!1):this.lineMirror[r]=!1,\"showbackground\"in o&&!1!==o.showbackground?(this.backgroundEnable[r]=!0,this.backgroundColor[r]=n(o.backgroundcolor)):this.backgroundEnable[r]=!1):(this.tickEnable[r]=!1,this.labelEnable[r]=!1,this.lineEnable[r]=!1,this.lineTickEnable[r]=!1,this.gridEnable[r]=!1,this.zeroEnable[r]=!1,this.backgroundEnable[r]=!1)}},e.exports=function(t,e){var r=new o;return r.merge(t,e),r}},{\"../../../lib\":515,\"../../../lib/str2rgbarray\":540}],612:[function(t,e,r){\"use strict\";var n=t(\"../../../lib\"),i=t(\"../../../components/color\"),a=t(\"../../../registry\"),o=t(\"../../subplot_defaults\"),s=t(\"./axis_defaults\"),l=t(\"./layout_attributes\"),c=t(\"../../get_data\").getSubplotData;function u(t,e,r,n){for(var o=r(\"bgcolor\"),l=i.combine(o,n.paper_bgcolor),u=[\"up\",\"center\",\"eye\"],f=0;f<u.length;f++)r(\"camera.\"+u[f]+\".x\"),r(\"camera.\"+u[f]+\".y\"),r(\"camera.\"+u[f]+\".z\");r(\"camera.projection.type\");var h=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),p=r(\"aspectmode\",h?\"manual\":\"auto\");h||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===p&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var d=c(n.fullData,\"gl3d\",n.id);s(t,e,{font:n.font,scene:n.id,data:d,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var m=n.getDfltFromLayout(\"dragmode\");if(!1!==m&&!m)if(m=\"orbit\",t.camera&&t.camera.up){var g=t.camera.up.x,v=t.camera.up.y,y=t.camera.up.z;0!==y&&(g&&v&&y?y/Math.sqrt(g*g+v*v+y*y)>.999&&(m=\"turntable\"):m=\"turntable\")}else m=\"turntable\";r(\"dragmode\",m),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}e.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:\"gl3d\",attributes:l,handleDefaults:u,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{\"../../../components/color\":367,\"../../../lib\":515,\"../../../registry\":647,\"../../get_data\":602,\"../../subplot_defaults\":641,\"./axis_defaults\":610,\"./layout_attributes\":613}],613:[function(t,e,r){\"use strict\";var n=t(\"./axis_attributes\"),i=t(\"../../domain\").attributes,a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../lib\").counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}e.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:i({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},{\"../../../lib\":515,\"../../../lib/extend\":505,\"../../domain\":593,\"./axis_attributes\":609}],614:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=function(t){var e=new a;return e.merge(t),e}},{\"../../../lib/str2rgbarray\":540}],615:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[a[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var f=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var h=u.nticks||i.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/h)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[c],\"date\"===u.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[c]=p,u.tickmode=f}}e.ticks=l;for(c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=t(\"../../cartesian/axes\"),i=t(\"../../../lib\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},{\"../../../lib\":515,\"../../cartesian/axes\":566}],616:[function(t,e,r){\"use strict\";function n(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}e.exports=function(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}},{}],617:[function(t,e,r){\"use strict\";var n,i,a=t(\"../../../stackgl_modules\").gl_plot3d,o=a.createCamera,s=a.createScene,l=t(\"webgl-context\"),c=t(\"has-passive-events\"),u=t(\"../../registry\"),f=t(\"../../lib\"),h=f.preserveDrawingBuffer(),p=t(\"../../plots/cartesian/axes\"),d=t(\"../../components/fx\"),m=t(\"../../lib/str2rgbarray\"),g=t(\"../../lib/show_no_webgl_msg\"),v=t(\"./project\"),y=t(\"./layout/convert\"),x=t(\"./layout/spikes\"),b=t(\"./layout/tick_marks\");function _(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=y(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=u.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var w=_.prototype;w.prepareOptions=function(){var t={canvas:this.canvas,gl:this.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:this.container,axes:this.axesOptions,spikes:this.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:this.camera,pixelRatio:this.pixelRatio};if(this.staticMode){if(!(i||(n=document.createElement(\"canvas\"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");t.gl=i,t.canvas=n}return t};var T=!0;w.tryCreatePlot=function(){var t=this.prepareOptions(),e=!0;try{this.glplot=s(t)}catch(r){if(this.staticMode||!T||h)e=!1;else{f.warn([\"webgl setup failed possibly due to\",\"false preserveDrawingBuffer config.\",\"The mobile/tablet device may not be detected by is-mobile module.\",\"Enabling preserveDrawingBuffer in second attempt to create webgl scene...\"].join(\" \"));try{h=t.glOptions.preserveDrawingBuffer=!0,this.glplot=s(t)}catch(r){h=t.glOptions.preserveDrawingBuffer=!1,e=!1}}}return T=!1,e},w.initializeGLCamera=function(){var t=this.fullSceneLayout.camera,e=\"orthographic\"===t.projection.type;this.camera=o(this.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:e,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},w.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener(\"mouseup\",(function(){i(t)})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!c&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},w.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var c=Object.keys(e.traces),u=null,h=e.glplot.selection,m=0;m<c.length;++m)\"skip\"!==(t=e.traces[c[m]]).data.hoverinfo&&t.handlePick(h)&&(u=t),t.setContourLevels&&t.setContourLevels();function g(t,r,n){var i=e.fullSceneLayout[t+\"axis\"];return\"log\"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==u){var y=v(e.glplot.cameraParams,h.dataCoordinate);t=u.data;var x,_=r._fullData[t.index],w=h.index,T={xLabel:g(\"x\",h.traceCoordinate[0],t.xhoverformat),yLabel:g(\"y\",h.traceCoordinate[1],t.yhoverformat),zLabel:g(\"z\",h.traceCoordinate[2],t.zhoverformat)},k=d.castHoverinfo(_,e.fullLayout,w),A=(k||\"\").split(\"+\"),M=k&&\"all\"===k;_.hovertemplate||M||(-1===A.indexOf(\"x\")&&(T.xLabel=void 0),-1===A.indexOf(\"y\")&&(T.yLabel=void 0),-1===A.indexOf(\"z\")&&(T.zLabel=void 0),-1===A.indexOf(\"text\")&&(h.textLabel=void 0),-1===A.indexOf(\"name\")&&(u.name=void 0));var S=[];\"cone\"===t.type||\"streamtube\"===t.type?(T.uLabel=g(\"x\",h.traceCoordinate[3],t.uhoverformat),(M||-1!==A.indexOf(\"u\"))&&S.push(\"u: \"+T.uLabel),T.vLabel=g(\"y\",h.traceCoordinate[4],t.vhoverformat),(M||-1!==A.indexOf(\"v\"))&&S.push(\"v: \"+T.vLabel),T.wLabel=g(\"z\",h.traceCoordinate[5],t.whoverformat),(M||-1!==A.indexOf(\"w\"))&&S.push(\"w: \"+T.wLabel),T.normLabel=h.traceCoordinate[6].toPrecision(3),(M||-1!==A.indexOf(\"norm\"))&&S.push(\"norm: \"+T.normLabel),\"streamtube\"===t.type&&(T.divergenceLabel=h.traceCoordinate[7].toPrecision(3),(M||-1!==A.indexOf(\"divergence\"))&&S.push(\"divergence: \"+T.divergenceLabel)),h.textLabel&&S.push(h.textLabel),x=S.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(T.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),S.push(\"value: \"+T.valueLabel),h.textLabel&&S.push(h.textLabel),x=S.join(\"<br>\")):x=h.textLabel;var E={x:h.traceCoordinate[0],y:h.traceCoordinate[1],z:h.traceCoordinate[2],data:_._input,fullData:_,curveNumber:_.index,pointNumber:w};d.appendArrayPointValue(E,_,w),t._module.eventData&&(E=_._module.eventData(E,h,_,{},w));var L={points:[E]};if(e.fullSceneLayout.hovermode){var C=[];d.loneHover({trace:_,x:(.5+.5*y[0]/y[3])*s,y:(.5-.5*y[1]/y[3])*l,xLabel:T.xLabel,yLabel:T.yLabel,zLabel:T.zLabel,text:x,name:u.name,color:d.castHoverOption(_,w,\"bgcolor\")||u.color,borderColor:d.castHoverOption(_,w,\"bordercolor\"),fontFamily:d.castHoverOption(_,w,\"font.family\"),fontSize:d.castHoverOption(_,w,\"font.size\"),fontColor:d.castHoverOption(_,w,\"font.color\"),nameLength:d.castHoverOption(_,w,\"namelength\"),textAlign:d.castHoverOption(_,w,\"align\"),hovertemplate:f.castOption(_,w,\"hovertemplate\"),hovertemplateLabels:f.extendFlat({},E,T),eventData:[E]},{container:n,gd:r,inOut_bbox:C}),E.bbox=C[0]}h.buttons&&h.distance<5?r.emit(\"plotly_click\",L):r.emit(\"plotly_hover\",L),this.oldEventData=L}else d.loneUnhover(n),this.oldEventData&&r.emit(\"plotly_unhover\",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},w.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):f.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")};requestAnimationFrame(e)};var k=[\"xaxis\",\"yaxis\",\"zaxis\"];function A(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=k[i],o=a.charAt(0),s=n[a],l=e[o],c=e[o+\"calendar\"],u=e[\"_\"+o+\"length\"];if(f.isArrayOrTypedArray(l))for(var h,p=0;p<(u||l.length);p++)if(f.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)h=s.d2l(l[p][d],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else h=s.d2l(l[p],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],u-1)}}w.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,i,a,o,s,l,c=e[this.id],u=r[this.id];this.fullLayout=e,this.fullSceneLayout=c,this.axesOptions.merge(e,c),this.spikeOptions.merge(c),this.setViewport(c),this.updateFx(c.dragmode,c.hovermode),this.camera.enableWheel=this.graphDiv._context._scrollZoom.gl3d,this.glplot.setClearColor(m(c.bgcolor)),this.setConvert(s),t?Array.isArray(t)||(t=[t]):t=[];var f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&A(this,n,f);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=k[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var c=n[l];if(c.visible){var u=s.r2l(c[o]);!isNaN(u)&&isFinite(u)&&(e[0][i]=Math.min(e[0][i],u),e[1][i]=Math.max(e[1][i],u))}}}(this,f);var h=[1,1,1];for(o=0;o<3;++o)f[1][o]===f[0][o]?h[o]=1:h[o]=1/(f[1][o]-f[0][o]);for(this.dataScale=h,this.convertAnnotations(this),a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&((i=this.traces[n.uid])?i.data.type===n.type?i.update(n):(i.dispose(),i=n._module.plot(this,n),this.traces[n.uid]=i):(i=n._module.plot(this,n),this.traces[n.uid]=i),i.name=n.name);var p=Object.keys(this.traces);t:for(a=0;a<p.length;++a){for(o=0;o<t.length;++o)if(t[o].uid===p[a]&&!0===t[o].visible&&0!==t[o]._length)continue t;(i=this.traces[p[a]]).dispose(),delete this.traces[p[a]]}this.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var d,g=[[0,0,0],[0,0,0]],v=[],y={};for(a=0;a<3;++a){if((l=(s=c[k[a]]).type)in y?(y[l].acc*=h[a],y[l].count+=1):y[l]={acc:h[a],count:1},s.autorange){g[0][a]=1/0,g[1][a]=-1/0;var x=this.glplot.objects,b=this.fullSceneLayout.annotations||[],_=s._name.charAt(0);for(o=0;o<x.length;o++){var w=x[o],T=w.bounds,M=w._trace.data._pad||0;\"ErrorBars\"===w.constructor.name&&s._lowerLogErrorBound?g[0][a]=Math.min(g[0][a],s._lowerLogErrorBound):g[0][a]=Math.min(g[0][a],T[0][a]/h[a]-M),g[1][a]=Math.max(g[1][a],T[1][a]/h[a]+M)}for(o=0;o<b.length;o++){var S=b[o];if(S.visible){var E=s.r2l(S[_]);g[0][a]=Math.min(g[0][a],E),g[1][a]=Math.max(g[1][a],E)}}if(\"rangemode\"in s&&\"tozero\"===s.rangemode&&(g[0][a]=Math.min(g[0][a],0),g[1][a]=Math.max(g[1][a],0)),g[0][a]>g[1][a])g[0][a]=-1,g[1][a]=1;else{var L=g[1][a]-g[0][a];g[0][a]-=L/32,g[1][a]+=L/32}if(\"reversed\"===s.autorange){var C=g[0][a];g[0][a]=g[1][a],g[1][a]=C}}else{var P=s.range;g[0][a]=s.r2l(P[0]),g[1][a]=s.r2l(P[1])}g[0][a]===g[1][a]&&(g[0][a]-=1,g[1][a]+=1),v[a]=g[1][a]-g[0][a],this.glplot.setBounds(a,{min:g[0][a]*h[a],max:g[1][a]*h[a]})}var I=c.aspectmode;if(\"cube\"===I)d=[1,1,1];else if(\"manual\"===I){var O=c.aspectratio;d=[O.x,O.y,O.z]}else{if(\"auto\"!==I&&\"data\"!==I)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var z=[1,1,1];for(a=0;a<3;++a){var D=y[l=(s=c[k[a]]).type];z[a]=Math.pow(D.acc,1/D.count)/h[a]}d=\"data\"===I||Math.max.apply(null,z)/Math.min.apply(null,z)<=4?z:[1,1,1]}c.aspectratio.x=u.aspectratio.x=d[0],c.aspectratio.y=u.aspectratio.y=d[1],c.aspectratio.z=u.aspectratio.z=d[2],this.glplot.setAspectratio(c.aspectratio),this.viewInitial.aspectratio||(this.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),this.viewInitial.aspectmode||(this.viewInitial.aspectmode=c.aspectmode);var R=c.domain||null,F=e._size||null;if(R&&F){var B=this.container.style;B.position=\"absolute\",B.left=F.l+R.x[0]*F.w+\"px\",B.top=F.t+(1-R.y[1])*F.h+\"px\",B.width=F.w*(R.x[1]-R.x[0])+\"px\",B.height=F.h*(R.y[1]-R.y[0])+\"px\"}this.glplot.redraw()}},w.destroy=function(){this.glplot&&(this.camera.mouseListener.enabled=!1,this.container.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null,this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null)},w.getCamera=function(){var t;return this.camera.view.recalcMatrix(this.camera.view.lastT()),{up:{x:(t=this.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?\"orthographic\":\"perspective\"}}},w.setViewport=function(t){var e,r=t.camera;this.camera.lookAt.apply(this,[[(e=r).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),this.glplot.setAspectratio(t.aspectratio),\"orthographic\"===r.projection.type!==this.camera._ortho&&(this.glplot.redraw(),this.glplot.clearRGBA(),this.glplot.dispose(),this.initializeGLPlot())},w.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var i=[\"up\",\"center\",\"eye\"],a=[\"x\",\"y\",\"z\"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}var i=!1;if(void 0===r)i=!0;else{for(var a=0;a<3;a++)for(var o=0;o<3;o++)if(!n(e,r,a,o)){i=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(i=!0)}return i},w.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=f.nestedProperty(t,this.id+\".aspectratio\").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},w.saveLayout=function(t){var e,r,n,i,a,o,s=this.fullLayout,l=this.isCameraChanged(t),c=this.isAspectChanged(t),h=l||c;if(h){var p={};if(l&&(e=this.getCamera(),n=(r=f.nestedProperty(t,this.id+\".camera\")).get(),p[this.id+\".camera\"]=n),c&&(i=this.glplot.getAspectratio(),o=(a=f.nestedProperty(t,this.id+\".aspectratio\")).get(),p[this.id+\".aspectratio\"]=o),u.call(\"_storeDirectGUIEdit\",t,s._preGUI,p),l)r.set(e),f.nestedProperty(s,this.id+\".camera\").set(e);if(c)a.set(i),f.nestedProperty(s,this.id+\".aspectratio\").set(i),this.glplot.redraw()}return h},w.updateFx=function(t,e){var r=this.camera;if(r)if(\"orbit\"===t)r.mode=\"orbit\",r.keyBindingMode=\"rotate\";else if(\"turntable\"===t){r.up=[0,0,1],r.mode=\"turntable\",r.keyBindingMode=\"rotate\";var n=this.graphDiv,i=n._fullLayout,a=this.fullSceneLayout.camera,o=a.up.x,s=a.up.y,l=a.up.z;if(l/Math.sqrt(o*o+s*s+l*l)<.999){var c=this.id+\".camera.up\",h={x:0,y:0,z:1},p={};p[c]=h;var d=n.layout;u.call(\"_storeDirectGUIEdit\",d,i._preGUI,p),a.up=h,f.nestedProperty(d,c).set(h)}}else r.keyBindingMode=t;this.fullSceneLayout.hovermode=e},w.toImage=function(t){t||(t=\"png\"),this.staticMode&&this.container.appendChild(n),this.glplot.redraw();var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a),function(t,e,r){for(var n=0,i=r-1;n<i;++n,--i)for(var a=0;a<e;++a)for(var o=0;o<4;++o){var s=4*(e*n+a)+o,l=4*(e*i+a)+o,c=t[s];t[s]=t[l],t[l]=c}}(a,r,i),function(t,e,r){for(var n=0;n<r;++n)for(var i=0;i<e;++i){var a=4*(e*n+i),o=t[a+3];if(o>0)for(var s=255/o,l=0;l<3;++l)t[a+l]=Math.min(s*t[a+l],255)}}(a,r,i);var o=document.createElement(\"canvas\");o.width=r,o.height=i;var s,l=o.getContext(\"2d\",{willReadFrequently:!0}),c=l.createImageData(r,i);switch(c.data.set(a),l.putImageData(c,0,0),t){case\"jpeg\":s=o.toDataURL(\"image/jpeg\");break;case\"webp\":s=o.toDataURL(\"image/webp\");break;default:s=o.toDataURL(\"image/png\")}return this.staticMode&&this.container.removeChild(n),s},w.setConvert=function(){for(var t=0;t<3;t++){var e=this.fullSceneLayout[k[t]];p.setConvert(e,this.fullLayout),e.setScale=f.noop}},w.make4thDimension=function(){var t=this.graphDiv._fullLayout;this._mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},p.setConvert(this._mockAxis,t)},e.exports=_},{\"../../../stackgl_modules\":1133,\"../../components/fx\":407,\"../../lib\":515,\"../../lib/show_no_webgl_msg\":537,\"../../lib/str2rgbarray\":540,\"../../plots/cartesian/axes\":566,\"../../registry\":647,\"./layout/convert\":611,\"./layout/spikes\":614,\"./layout/tick_marks\":615,\"./project\":616,\"has-passive-events\":229,\"webgl-context\":332}],618:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){n=n||t.length;for(var i=new Array(n),a=0;a<n;a++)i[a]=[t[a],e[a],r[a]];return i}},{}],619:[function(t,e,r){\"use strict\";var n=t(\"./font_attributes\"),i=t(\"./animation_attributes\"),a=t(\"../components/color/attributes\"),o=t(\"../components/shapes/draw_newshape/attributes\"),s=t(\"../components/selections/draw_newselection/attributes\"),l=t(\"./pad_attributes\"),c=t(\"../lib/extend\").extendFlat,u=n({editType:\"calc\"});u.family.dflt='\"Open Sans\", verdana, arial, sans-serif',u.size.dflt=12,u.color.dflt=a.defaultLine,e.exports={font:u,title:{text:{valType:\"string\",editType:\"layoutstyle\"},font:n({editType:\"layoutstyle\"}),xref:{valType:\"enumerated\",dflt:\"container\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},yref:{valType:\"enumerated\",dflt:\"container\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},x:{valType:\"number\",min:0,max:1,dflt:.5,editType:\"layoutstyle\"},y:{valType:\"number\",min:0,max:1,dflt:\"auto\",editType:\"layoutstyle\"},xanchor:{valType:\"enumerated\",dflt:\"auto\",values:[\"auto\",\"left\",\"center\",\"right\"],editType:\"layoutstyle\"},yanchor:{valType:\"enumerated\",dflt:\"auto\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],editType:\"layoutstyle\"},pad:c(l({editType:\"layoutstyle\"}),{}),editType:\"layoutstyle\"},uniformtext:{mode:{valType:\"enumerated\",values:[!1,\"hide\",\"show\"],dflt:!1,editType:\"plot\"},minsize:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"plot\"},autosize:{valType:\"boolean\",dflt:!1,editType:\"none\"},width:{valType:\"number\",min:10,dflt:700,editType:\"plot\"},height:{valType:\"number\",min:10,dflt:450,editType:\"plot\"},minreducedwidth:{valType:\"number\",min:2,dflt:64,editType:\"plot\"},minreducedheight:{valType:\"number\",min:2,dflt:64,editType:\"plot\"},margin:{l:{valType:\"number\",min:0,dflt:80,editType:\"plot\"},r:{valType:\"number\",min:0,dflt:80,editType:\"plot\"},t:{valType:\"number\",min:0,dflt:100,editType:\"plot\"},b:{valType:\"number\",min:0,dflt:80,editType:\"plot\"},pad:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},autoexpand:{valType:\"boolean\",dflt:!0,editType:\"plot\"},editType:\"plot\"},computed:{valType:\"any\",editType:\"none\"},paper_bgcolor:{valType:\"color\",dflt:a.background,editType:\"plot\"},plot_bgcolor:{valType:\"color\",dflt:a.background,editType:\"layoutstyle\"},autotypenumbers:{valType:\"enumerated\",values:[\"convert types\",\"strict\"],dflt:\"convert types\",editType:\"calc\"},separators:{valType:\"string\",editType:\"plot\"},hidesources:{valType:\"boolean\",dflt:!1,editType:\"plot\"},showlegend:{valType:\"boolean\",editType:\"legend\"},colorway:{valType:\"colorlist\",dflt:a.defaults,editType:\"calc\"},datarevision:{valType:\"any\",editType:\"calc\"},uirevision:{valType:\"any\",editType:\"none\"},editrevision:{valType:\"any\",editType:\"none\"},selectionrevision:{valType:\"any\",editType:\"none\"},template:{valType:\"any\",editType:\"calc\"},newshape:o.newshape,activeshape:o.activeshape,newselection:s.newselection,activeselection:s.activeselection,meta:{valType:\"any\",arrayOk:!0,editType:\"plot\"},transition:c({},i.transition,{editType:\"none\"}),_deprecated:{title:{valType:\"string\",editType:\"layoutstyle\"},titlefont:n({editType:\"layoutstyle\"})}}},{\"../components/color/attributes\":366,\"../components/selections/draw_newselection/attributes\":451,\"../components/shapes/draw_newshape/attributes\":463,\"../lib/extend\":505,\"./animation_attributes\":560,\"./font_attributes\":594,\"./pad_attributes\":627}],620:[function(t,e,r){\"use strict\";var n=t(\"../../lib/sort_object_keys\"),i='\\xa9 <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">OpenStreetMap</a> contributors',a=['\\xa9 <a target=\"_blank\" href=\"https://carto.com/\">Carto</a>',i].join(\" \"),o=['Map tiles by <a target=\"_blank\" href=\"https://stamen.com\">Stamen Design</a>','under <a target=\"_blank\" href=\"https://creativecommons.org/licenses/by/3.0\">CC BY 3.0</a>',\"|\",'Data by <a target=\"_blank\" href=\"https://openstreetmap.org\">OpenStreetMap</a> contributors','under <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">ODbL</a>'].join(\" \"),s={\"open-street-map\":{id:\"osm\",version:8,sources:{\"plotly-osm-tiles\":{type:\"raster\",attribution:i,tiles:[\"https://a.tile.openstreetmap.org/{z}/{x}/{y}.png\",\"https://b.tile.openstreetmap.org/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-osm-tiles\",type:\"raster\",source:\"plotly-osm-tiles\",minzoom:0,maxzoom:22}]},\"white-bg\":{id:\"white-bg\",version:8,sources:{},layers:[{id:\"white-bg\",type:\"background\",paint:{\"background-color\":\"#FFFFFF\"},minzoom:0,maxzoom:22}]},\"carto-positron\":{id:\"carto-positron\",version:8,sources:{\"plotly-carto-positron\":{type:\"raster\",attribution:a,tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/light_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-positron\",type:\"raster\",source:\"plotly-carto-positron\",minzoom:0,maxzoom:22}]},\"carto-darkmatter\":{id:\"carto-darkmatter\",version:8,sources:{\"plotly-carto-darkmatter\":{type:\"raster\",attribution:a,tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/dark_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-darkmatter\",type:\"raster\",source:\"plotly-carto-darkmatter\",minzoom:0,maxzoom:22}]},\"stamen-terrain\":{id:\"stamen-terrain\",version:8,sources:{\"plotly-stamen-terrain\":{type:\"raster\",attribution:o,tiles:[\"https://stamen-tiles.a.ssl.fastly.net/terrain/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-terrain\",type:\"raster\",source:\"plotly-stamen-terrain\",minzoom:0,maxzoom:22}]},\"stamen-toner\":{id:\"stamen-toner\",version:8,sources:{\"plotly-stamen-toner\":{type:\"raster\",attribution:o,tiles:[\"https://stamen-tiles.a.ssl.fastly.net/toner/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-toner\",type:\"raster\",source:\"plotly-stamen-toner\",minzoom:0,maxzoom:22}]},\"stamen-watercolor\":{id:\"stamen-watercolor\",version:8,sources:{\"plotly-stamen-watercolor\":{type:\"raster\",attribution:['Map tiles by <a target=\"_blank\" href=\"https://stamen.com\">Stamen Design</a>','under <a target=\"_blank\" href=\"https://creativecommons.org/licenses/by/3.0\">CC BY 3.0</a>',\"|\",'Data by <a target=\"_blank\" href=\"https://openstreetmap.org\">OpenStreetMap</a> contributors','under <a target=\"_blank\" href=\"https://creativecommons.org/licenses/by-sa/3.0\">CC BY SA</a>'].join(\" \"),tiles:[\"https://stamen-tiles.a.ssl.fastly.net/watercolor/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-watercolor\",type:\"raster\",source:\"plotly-stamen-watercolor\",minzoom:0,maxzoom:22}]}},l=n(s);e.exports={requiredVersion:\"1.10.1\",styleUrlPrefix:\"mapbox://styles/mapbox/\",styleUrlSuffix:\"v9\",styleValuesMapbox:[\"basic\",\"streets\",\"outdoors\",\"light\",\"dark\",\"satellite\",\"satellite-streets\"],styleValueDflt:\"basic\",stylesNonMapbox:s,styleValuesNonMapbox:l,traceLayerPrefix:\"plotly-trace-layer-\",layoutLayerPrefix:\"plotly-layout-layer-\",wrongVersionErrorMsg:[\"Your 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b=u.bBox(x.node()),_=n.w*(h.x[1]-h.x[0]);if(b.width>_/2){var w=v.split(\"|\").join(\"<br>\");x.text(w).attr(\"data-unformatted\",w).call(f.convertToTspans,t),b=u.bBox(x.node())}x.attr(\"transform\",a(-3,8-b.height)),y.insert(\"rect\",\".static-attribution\").attr({x:-b.width-6,y:-b.height-3,width:b.width+6,height:b.height+3,fill:\"rgba(255, 255, 255, 0.75)\"});var T=1;b.width+6>_&&(T=_/(b.width+6));var k=[n.l+n.w*h.x[1],n.t+n.h*(1-h.y[0])];y.attr(\"transform\",a(k[0],k[1])+o(T))}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.mapbox,n=0;n<r.length;n++){e[r[n]]._subplot.updateFx(e)}}},{\"../../components/drawing\":389,\"../../constants/xmlns_namespaces\":492,\"../../lib\":515,\"../../lib/svg_text_utils\":541,\"../../plots/get_data\":602,\"./constants\":620,\"./layout_attributes\":624,\"./layout_defaults\":625,\"./mapbox\":626,\"@plotly/d3\":58,\"mapbox-gl/dist/mapbox-gl-unminified\":239}],623:[function(t,e,r){\"use strict\";var 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e={},r={};switch(t.type){case\"circle\":n.extendFlat(r,{\"circle-radius\":t.circle.radius,\"circle-color\":t.color,\"circle-opacity\":t.opacity});break;case\"line\":n.extendFlat(r,{\"line-width\":t.line.width,\"line-color\":t.color,\"line-opacity\":t.opacity,\"line-dasharray\":t.line.dash});break;case\"fill\":n.extendFlat(r,{\"fill-color\":t.color,\"fill-outline-color\":t.fill.outlinecolor,\"fill-opacity\":t.opacity});break;case\"symbol\":var i=t.symbol,o=a(i.textposition,i.iconsize);n.extendFlat(e,{\"icon-image\":i.icon+\"-15\",\"icon-size\":i.iconsize/10,\"text-field\":i.text,\"text-size\":i.textfont.size,\"text-anchor\":o.anchor,\"text-offset\":o.offset,\"symbol-placement\":i.placement}),n.extendFlat(r,{\"icon-color\":t.color,\"text-color\":i.textfont.color,\"text-opacity\":t.opacity});break;case\"raster\":n.extendFlat(r,{\"raster-fade-duration\":0,\"raster-opacity\":t.opacity})}return{layout:e,paint:r}}l.update=function(t){this.visible?this.needsNewImage(t)?this.updateImage(t):this.needsNewSource(t)?(this.removeLayer(),this.updateSource(t),this.updateLayer(t)):this.needsNewLayer(t)?this.updateLayer(t):this.updateStyle(t):(this.updateSource(t),this.updateLayer(t)),this.visible=c(t)},l.needsNewImage=function(t){return this.subplot.map.getSource(this.idSource)&&\"image\"===this.sourceType&&\"image\"===t.sourcetype&&(this.source!==t.source||JSON.stringify(this.coordinates)!==JSON.stringify(t.coordinates))},l.needsNewSource=function(t){return this.sourceType!==t.sourcetype||JSON.stringify(this.source)!==JSON.stringify(t.source)||this.layerType!==t.type},l.needsNewLayer=function(t){return this.layerType!==t.type||this.below!==this.subplot.belowLookup[\"layout-\"+this.index]},l.lookupBelow=function(){return this.subplot.belowLookup[\"layout-\"+this.index]},l.updateImage=function(t){this.subplot.map.getSource(this.idSource).updateImage({url:t.source,coordinates:t.coordinates});var e=this.findFollowingMapboxLayerId(this.lookupBelow());null!==e&&this.subplot.map.moveLayer(this.idLayer,e)},l.updateSource=function(t){var e=this.subplot.map;if(e.getSource(this.idSource)&&e.removeSource(this.idSource),this.sourceType=t.sourcetype,this.source=t.source,c(t)){var r=function(t){var e,r=t.sourcetype,n=t.source,a={type:r};\"geojson\"===r?e=\"data\":\"vector\"===r?e=\"string\"==typeof n?\"url\":\"tiles\":\"raster\"===r?(e=\"tiles\",a.tileSize=256):\"image\"===r&&(e=\"url\",a.coordinates=t.coordinates);a[e]=n,t.sourceattribution&&(a.attribution=i(t.sourceattribution));return a}(t);e.addSource(this.idSource,r)}},l.findFollowingMapboxLayerId=function(t){if(\"traces\"===t)for(var e=this.subplot.getMapLayers(),r=0;r<e.length;r++){var n=e[r].id;if(\"string\"==typeof n&&0===n.indexOf(o.traceLayerPrefix)){t=n;break}}return t},l.updateLayer=function(t){var e=this.subplot,r=u(t),n=this.lookupBelow(),i=this.findFollowingMapboxLayerId(n);this.removeLayer(),c(t)&&e.addLayer({id:this.idLayer,source:this.idSource,\"source-layer\":t.sourcelayer||\"\",type:t.type,minzoom:t.minzoom,maxzoom:t.maxzoom,layout:r.layout,paint:r.paint},i),this.layerType=t.type,this.below=n},l.updateStyle=function(t){if(c(t)){var e=u(t);this.subplot.setOptions(this.idLayer,\"setLayoutProperty\",e.layout),this.subplot.setOptions(this.idLayer,\"setPaintProperty\",e.paint)}},l.removeLayer=function(){var t=this.subplot.map;t.getLayer(this.idLayer)&&t.removeLayer(this.idLayer)},l.dispose=function(){var t=this.subplot.map;t.getLayer(this.idLayer)&&t.removeLayer(this.idLayer),t.getSource(this.idSource)&&t.removeSource(this.idSource)},e.exports=function(t,e,r){var n=new s(t,e);return n.update(r),n}},{\"../../lib\":515,\"../../lib/svg_text_utils\":541,\"./constants\":620,\"./convert_text_opts\":621}],624:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/color\").defaultLine,a=t(\"../domain\").attributes,o=t(\"../font_attributes\"),s=t(\"../../traces/scatter/attributes\").textposition,l=t(\"../../plot_api/edit_types\").overrideAll,c=t(\"../../plot_api/plot_template\").templatedArray,u=t(\"./constants\"),f=o({});f.family.dflt=\"Open Sans Regular, Arial Unicode MS 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n=t(\"mapbox-gl/dist/mapbox-gl-unminified\"),i=t(\"../../lib\"),a=t(\"../../lib/geo_location_utils\"),o=t(\"../../registry\"),s=t(\"../cartesian/axes\"),l=t(\"../../components/dragelement\"),c=t(\"../../components/fx\"),u=t(\"../../components/dragelement/helpers\"),f=u.drawMode,h=u.selectMode,p=t(\"../../components/selections\").prepSelect,d=t(\"../../components/selections\").clearOutline,m=t(\"../../components/selections\").clearSelectionsCache,g=t(\"../../components/selections\").selectOnClick,v=t(\"./constants\"),y=t(\"./layers\");function x(t,e){this.id=e,this.gd=t;var r=t._fullLayout,n=t._context;this.container=r._glcontainer.node(),this.isStatic=n.staticPlot,this.uid=r._uid+\"-\"+this.id,this.div=null,this.xaxis=null,this.yaxis=null,this.createFramework(r),this.map=null,this.accessToken=null,this.styleObj=null,this.traceHash={},this.layerList=[],this.belowLookup={},this.dragging=!1,this.wheeling=!1}var b=x.prototype;b.plot=function(t,e,r){var n,i=this,a=e[i.id];i.map&&a.accesstoken!==i.accessToken&&(i.map.remove(),i.map=null,i.styleObj=null,i.traceHash={},i.layerList=[]),n=i.map?new Promise((function(r,n){i.updateMap(t,e,r,n)})):new Promise((function(r,n){i.createMap(t,e,r,n)})),r.push(n)},b.createMap=function(t,e,r,i){var o=this,s=e[o.id],l=o.styleObj=w(s.style);o.accessToken=s.accesstoken;var c=s.bounds,u=c?[[c.west,c.south],[c.east,c.north]]:null,f=o.map=new n.Map({container:o.div,style:l.style,center:k(s.center),zoom:s.zoom,bearing:s.bearing,pitch:s.pitch,maxBounds:u,interactive:!o.isStatic,preserveDrawingBuffer:o.isStatic,doubleClickZoom:!1,boxZoom:!1,attributionControl:!1}).addControl(new n.AttributionControl({compact:!0}));f._canvas.style.left=\"0px\",f._canvas.style.top=\"0px\",o.rejectOnError(i),o.isStatic||o.initFx(t,e);var h=[];h.push(new 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u,f,h={};for(u in a)h[n=a[u]]?h[n].push(u):h[n]=[u];for(n in h){var p=h[n];if(p.length>1)for(r=0;r<p.length;r++)0===(u=p[r]).indexOf(\"trace-\")?(f=u.split(\"trace-\")[1],this.traceHash[f]&&(this.traceHash[f].below=null)):0===u.indexOf(\"layout-\")&&(f=u.split(\"layout-\")[1],this.layerList[f]&&(this.layerList[f].below=null))}};var _={choroplethmapbox:0,densitymapbox:1,scattermapbox:2};function w(t){var e={};return i.isPlainObject(t)?(e.id=t.id,e.style=t):\"string\"==typeof t?(e.id=t,-1!==v.styleValuesMapbox.indexOf(t)?e.style=T(t):v.stylesNonMapbox[t]?e.style=v.stylesNonMapbox[t]:e.style=t):(e.id=v.styleValueDflt,e.style=T(v.styleValueDflt)),e.transition={duration:0,delay:0},e}function T(t){return v.styleUrlPrefix+t+\"-\"+v.styleUrlSuffix}function k(t){return[t.lon,t.lat]}b.updateData=function(t){var e,r,n,i,a=this.traceHash,o=t.slice().sort((function(t,e){return _[t[0].trace.type]-_[e[0].trace.type]}));for(n=0;n<o.length;n++){var s=o[n],l=!1;(e=a[(r=s[0].trace).uid])&&(e.type===r.type?(e.update(s),l=!0):e.dispose()),!l&&r._module&&(a[r.uid]=r._module.plot(this,s))}var c=Object.keys(a);t:for(n=0;n<c.length;n++){var u=c[n];for(i=0;i<t.length;i++)if(u===(r=t[i][0].trace).uid)continue t;(e=a[u]).dispose(),delete a[u]}},b.updateLayout=function(t){var e=this.map,r=t[this.id];this.dragging||this.wheeling||(e.setCenter(k(r.center)),e.setZoom(r.zoom),e.setBearing(r.bearing),e.setPitch(r.pitch)),this.updateLayers(t),this.updateFramework(t),this.updateFx(t),this.map.resize(),this.gd._context._scrollZoom.mapbox?e.scrollZoom.enable():e.scrollZoom.disable()},b.resolveOnRender=function(t){var e=this.map;e.on(\"render\",(function r(){e.loaded()&&(e.off(\"render\",r),setTimeout(t,10))}))},b.rejectOnError=function(t){var e=this.map;function r(){t(new 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n=t(\"@plotly/d3\"),i=t(\"tinycolor2\"),a=t(\"../../registry\"),o=t(\"../../lib\"),s=o.strRotate,l=o.strTranslate,c=t(\"../../components/color\"),u=t(\"../../components/drawing\"),f=t(\"../plots\"),h=t(\"../../plots/cartesian/axes\"),p=t(\"../cartesian/set_convert\"),d=t(\"./set_convert\"),m=t(\"../cartesian/autorange\").doAutoRange,g=t(\"../cartesian/dragbox\"),v=t(\"../../components/dragelement\"),y=t(\"../../components/fx\"),x=t(\"../../components/titles\"),b=t(\"../../components/selections\").prepSelect,_=t(\"../../components/selections\").selectOnClick,w=t(\"../../components/selections\").clearOutline,T=t(\"../../lib/setcursor\"),k=t(\"../../lib/clear_gl_canvases\"),A=t(\"../../plot_api/subroutines\").redrawReglTraces,M=t(\"../../constants/alignment\").MID_SHIFT,S=t(\"./constants\"),E=t(\"./helpers\"),L=t(\"../smith/helpers\"),C=L.smith,P=L.reactanceArc,I=L.resistanceArc,O=L.smithTransform,z=o._,D=o.mod,R=o.deg2rad,F=o.rad2deg;function B(t,e,r){this.isSmith=r||!1,this.id=e,this.gd=t,this._hasClipOnAxisFalse=null,this.vangles=null,this.radialAxisAngle=null,this.traceHash={},this.layers={},this.clipPaths={},this.clipIds={},this.viewInitial={};var n=t._fullLayout,i=\"clip\"+n._uid+e;this.clipIds.forTraces=i+\"-for-traces\",this.clipPaths.forTraces=n._clips.append(\"clipPath\").attr(\"id\",this.clipIds.forTraces),this.clipPaths.forTraces.append(\"path\"),this.framework=n[\"_\"+(r?\"smith\":\"polar\")+\"layer\"].append(\"g\").attr(\"class\",e),this.getHole=function(t){return this.isSmith?0:t.hole},this.getSector=function(t){return this.isSmith?[0,360]:t.sector},this.getRadial=function(t){return this.isSmith?t.realaxis:t.radialaxis},this.getAngular=function(t){return this.isSmith?t.imaginaryaxis:t.angularaxis},r||(this.radialTickLayout=null,this.angularTickLayout=null)}var N=B.prototype;function j(t){var e=t.ticks+String(t.ticklen)+String(t.showticklabels);return\"side\"in t&&(e+=t.side),e}function U(t,e){return 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n=t(\"../../components/color/attributes\"),i=t(\"../domain\").attributes,a=t(\"../cartesian/layout_attributes\"),o=t(\"../../plot_api/edit_types\").overrideAll,s=t(\"../../lib/extend\").extendFlat,l={title:{text:a.title.text,font:a.title.font},color:a.color,tickmode:a.tickmode,nticks:s({},a.nticks,{dflt:6,min:1}),tick0:a.tick0,dtick:a.dtick,tickvals:a.tickvals,ticktext:a.ticktext,ticks:a.ticks,ticklen:a.ticklen,tickwidth:a.tickwidth,tickcolor:a.tickcolor,ticklabelstep:a.ticklabelstep,showticklabels:a.showticklabels,showtickprefix:a.showtickprefix,tickprefix:a.tickprefix,showticksuffix:a.showticksuffix,ticksuffix:a.ticksuffix,showexponent:a.showexponent,exponentformat:a.exponentformat,minexponent:a.minexponent,separatethousands:a.separatethousands,tickfont:a.tickfont,tickangle:a.tickangle,tickformat:a.tickformat,tickformatstops:a.tickformatstops,hoverformat:a.hoverformat,showline:s({},a.showline,{dflt:!0}),linecolor:a.linecolor,linewidth:a.linewidth,showgrid:s({},a.showgrid,{dflt:!0}),gridcolor:a.gridcolor,gridwidth:a.gridwidth,griddash:a.griddash,layer:a.layer,min:{valType:\"number\",dflt:0,min:0},_deprecated:{title:a._deprecated.title,titlefont:a._deprecated.titlefont}},c=e.exports=o({domain:i({name:\"ternary\"}),bgcolor:{valType:\"color\",dflt:n.background},sum:{valType:\"number\",dflt:1,min:0},aaxis:l,baxis:l,caxis:l},\"plot\",\"from-root\");c.uirevision={valType:\"any\",editType:\"none\"},c.aaxis.uirevision=c.baxis.uirevision=c.caxis.uirevision={valType:\"any\",editType:\"none\"}},{\"../../components/color/attributes\":366,\"../../lib/extend\":505,\"../../plot_api/edit_types\":548,\"../cartesian/layout_attributes\":579,\"../domain\":593}],645:[function(t,e,r){\"use 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r,n,i,a,o,l,p=this,d=t.domain,m=(d.x[0]+d.x[1])/2,g=(d.y[0]+d.y[1])/2,v=d.x[1]-d.x[0],y=d.y[1]-d.y[0],x=v*e.w,b=y*e.h,_=t.sum,w=t.aaxis.min,T=t.baxis.min,k=t.caxis.min;x>E*b?i=(a=b)*E:a=(i=x)/E,o=v*i/x,l=y*a/b,r=e.l+e.w*m-i/2,n=e.t+e.h*(1-g)-a/2,p.x0=r,p.y0=n,p.w=i,p.h=a,p.sum=_,p.xaxis={type:\"linear\",range:[w+2*k-_,_-w-2*T],domain:[m-o/2,m+o/2],_id:\"x\"},f(p.xaxis,p.graphDiv._fullLayout),p.xaxis.setScale(),p.xaxis.isPtWithinRange=function(t){return t.a>=p.aaxis.range[0]&&t.a<=p.aaxis.range[1]&&t.b>=p.baxis.range[1]&&t.b<=p.baxis.range[0]&&t.c>=p.caxis.range[1]&&t.c<=p.caxis.range[0]},p.yaxis={type:\"linear\",range:[w,_-T-k],domain:[g-l/2,g+l/2],_id:\"y\"},f(p.yaxis,p.graphDiv._fullLayout),p.yaxis.setScale(),p.yaxis.isPtWithinRange=function(){return!0};var A=p.yaxis.domain[0],M=p.aaxis=h({},t.aaxis,{range:[w,_-T-k],side:\"left\",tickangle:(+t.aaxis.tickangle||0)-30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(M,p.graphDiv._fullLayout),M.setScale();var 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n=t(\"../choropleth/attributes\"),i=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat;e.exports=s({locations:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},geojson:{valType:\"any\",editType:\"calc\"},featureidkey:s({},n.featureidkey,{}),below:{valType:\"string\",editType:\"plot\"},text:n.text,hovertext:n.hovertext,marker:{line:{color:s({},n.marker.line.color,{editType:\"plot\"}),width:s({},n.marker.line.width,{editType:\"plot\"}),editType:\"calc\"},opacity:s({},n.marker.opacity,{editType:\"plot\"}),editType:\"calc\"},selected:{marker:{opacity:s({},n.selected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},unselected:{marker:{opacity:s({},n.unselected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},hoverinfo:n.hoverinfo,hovertemplate:a({},{keys:[\"properties\"]}),showlegend:s({},o.showlegend,{dflt:!1})},i(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))},{\"../../components/colorscale/attributes\":374,\"../../lib/extend\":505,\"../../plots/attributes\":562,\"../../plots/template_attributes\":642,\"../choropleth/attributes\":725}],735:[function(t,e,r){\"use 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p,d,m,g=a.makeColorScaleFuncFromTrace(e),v=e.marker,y=v.line||{};i.isArrayOrTypedArray(v.opacity)&&(p=function(t){var e=t.mo;return n(e)?+i.constrain(e,0,1):0}),i.isArrayOrTypedArray(y.color)&&(d=function(t){return t.mlc}),i.isArrayOrTypedArray(y.width)&&(m=function(t){return t.mlw});for(var x=0;x<t.length;x++){var b=t[x],_=b.fOut;if(_){var w=_.properties;w.fc=g(b.z),p&&(w.mo=p(b)),d&&(w.mlc=d(b)),m&&(w.mlw=m(b)),b.ct=w.ct,b._polygons=l.feature2polygons(_)}}var T=p?{type:\"identity\",property:\"mo\"}:v.opacity;return i.extendFlat(o.paint,{\"fill-color\":{type:\"identity\",property:\"fc\"},\"fill-opacity\":T}),i.extendFlat(u.paint,{\"line-color\":d?{type:\"identity\",property:\"mlc\"}:y.color,\"line-width\":m?{type:\"identity\",property:\"mlw\"}:y.width,\"line-opacity\":T}),o.layout.visibility=\"visible\",u.layout.visibility=\"visible\",f.geojson={type:\"FeatureCollection\",features:h},c(t),f},convertOnSelect:c}},{\"../../components/colorscale\":379,\"../../components/drawing\":389,\"../../lib\":515,\"../../lib/geo_location_utils\":508,\"../../lib/geojson_utils\":509,\"fast-isnumeric\":190}],736:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/colorscale/defaults\"),a=t(\"./attributes\");e.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s(\"locations\"),c=s(\"z\"),u=s(\"geojson\");n.isArrayOrTypedArray(l)&&l.length&&n.isArrayOrTypedArray(c)&&c.length&&(\"string\"==typeof 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n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../mesh3d/attributes\"),s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat,c={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},u:{valType:\"data_array\",editType:\"calc\"},v:{valType:\"data_array\",editType:\"calc\"},w:{valType:\"data_array\",editType:\"calc\"},sizemode:{valType:\"enumerated\",values:[\"scaled\",\"absolute\"],editType:\"calc\",dflt:\"scaled\"},sizeref:{valType:\"number\",editType:\"calc\",min:0},anchor:{valType:\"enumerated\",editType:\"calc\",values:[\"tip\",\"tail\",\"cm\",\"center\"],dflt:\"cm\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"},{keys:[\"norm\"]}),uhoverformat:i(\"u\",1),vhoverformat:i(\"v\",1),whoverformat:i(\"w\",1),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),showlegend:l({},s.showlegend,{dflt:!1})};l(c,n(\"\",{colorAttr:\"u/v/w 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f={xaxis:0,yaxis:1,zaxis:2},h={tip:1,tail:0,cm:.25,center:.5},p={tip:1,tail:1,cm:.75,center:.5};function d(t,e){var r=t.fullSceneLayout,i=t.dataScale,c={};function u(t,e){var n=r[e],o=i[f[e]];return a(t,(function(t){return n.d2l(t)*o}))}c.vectors=l(u(e.u,\"xaxis\"),u(e.v,\"yaxis\"),u(e.w,\"zaxis\"),e._len),c.positions=l(u(e.x,\"xaxis\"),u(e.y,\"yaxis\"),u(e.z,\"zaxis\"),e._len);var d=s(e);c.colormap=o(e),c.vertexIntensityBounds=[d.min/e._normMax,d.max/e._normMax],c.coneOffset=h[e.anchor],\"scaled\"===e.sizemode?c.coneSize=e.sizeref||.5:c.coneSize=e.sizeref&&e._normMax?e.sizeref/e._normMax:.5;var m=n(c),g=e.lightposition;return m.lightPosition=[g.x,g.y,g.z],m.ambient=e.lighting.ambient,m.diffuse=e.lighting.diffuse,m.specular=e.lighting.specular,m.roughness=e.lighting.roughness,m.fresnel=e.lighting.fresnel,m.opacity=e.opacity,e._pad=p[e.anchor]*m.vectorScale*m.coneScale*e._normMax,m}u.update=function(t){this.data=t;var 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n=t(\"../../components/colorscale/defaults\"),i=t(\"./label_defaults\");e.exports=function(t,e,r,a,o){var s,l=r(\"contours.coloring\"),c=\"\";\"fill\"===l&&(s=r(\"contours.showlines\")),!1!==s&&(\"lines\"!==l&&(c=r(\"line.color\",\"#000\")),r(\"line.width\",.5),r(\"line.dash\")),\"none\"!==l&&(!0!==t.showlegend&&(e.showlegend=!1),e._dfltShowLegend=!1,n(t,e,a,r,{prefix:\"\",cLetter:\"z\"})),r(\"line.smoothing\"),i(r,a,c,o)}},{\"../../components/colorscale/defaults\":377,\"./label_defaults\":759}],766:[function(t,e,r){\"use strict\";var n=t(\"../heatmap/attributes\"),i=t(\"../contour/attributes\"),a=t(\"../../components/colorscale/attributes\"),o=t(\"../../lib/extend\").extendFlat,s=i.contours;e.exports=o({carpet:{valType:\"string\",editType:\"calc\"},z:n.z,a:n.x,a0:n.x0,da:n.dx,b:n.y,b0:n.y0,db:n.dy,text:n.text,hovertext:n.hovertext,transpose:n.transpose,atype:n.xtype,btype:n.ytype,fillcolor:i.fillcolor,autocontour:i.autocontour,ncontours:i.ncontours,contours:{type:s.type,start:s.start,end:s.end,size:s.size,coloring:{valType:\"enumerated\",values:[\"fill\",\"lines\",\"none\"],dflt:\"fill\",editType:\"calc\"},showlines:s.showlines,showlabels:s.showlabels,labelfont:s.labelfont,labelformat:s.labelformat,operation:s.operation,value:s.value,editType:\"calc\",impliedEdits:{autocontour:!1}},line:{color:i.line.color,width:i.line.width,dash:i.line.dash,smoothing:i.line.smoothing,editType:\"plot\"},transforms:void 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n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/template_attributes\").hovertemplateAttrs,a=t(\"../../plots/attributes\"),o=t(\"../scattermapbox/attributes\"),s=t(\"../../lib/extend\").extendFlat;e.exports=s({lon:o.lon,lat:o.lat,z:{valType:\"data_array\",editType:\"calc\"},radius:{valType:\"number\",editType:\"plot\",arrayOk:!0,min:1,dflt:30},below:{valType:\"string\",editType:\"plot\"},text:o.text,hovertext:o.hovertext,hoverinfo:s({},a.hoverinfo,{flags:[\"lon\",\"lat\",\"z\",\"text\",\"name\"]}),hovertemplate:i(),showlegend:s({},a.showlegend,{dflt:!1})},n(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))},{\"../../components/colorscale/attributes\":374,\"../../lib/extend\":505,\"../../plots/attributes\":562,\"../../plots/template_attributes\":642,\"../scattermapbox/attributes\":1002}],772:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\").isArrayOrTypedArray,a=t(\"../../constants/numerical\").BADNUM,o=t(\"../../components/colorscale/calc\"),s=t(\"../../lib\")._;e.exports=function(t,e){for(var r=e._length,l=new Array(r),c=e.z,u=i(c)&&c.length,f=0;f<r;f++){var h=l[f]={},p=e.lon[f],d=e.lat[f];if(h.lonlat=n(p)&&n(d)?[+p,+d]:[a,a],u){var m=c[f];h.z=n(m)?m:a}}return o(t,e,{vals:u?c:[0,1],containerStr:\"\",cLetter:\"z\"}),r&&(l[0].t={labels:{lat:s(t,\"lat:\")+\" \",lon:s(t,\"lon:\")+\" \"}}),l}},{\"../../components/colorscale/calc\":375,\"../../constants/numerical\":491,\"../../lib\":515,\"fast-isnumeric\":190}],773:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"../../components/color\"),o=t(\"../../components/colorscale\"),s=t(\"../../constants/numerical\").BADNUM,l=t(\"../../lib/geojson_utils\").makeBlank;e.exports=function(t){var e=t[0].trace,r=!0===e.visible&&0!==e._length,c=e._opts={heatmap:{layout:{visibility:\"none\"},paint:{}},geojson:l()};if(!r)return c;var u,f=[],h=e.z,p=e.radius,d=i.isArrayOrTypedArray(h)&&h.length,m=i.isArrayOrTypedArray(p);for(u=0;u<t.length;u++){var g=t[u],v=g.lonlat;if(v[0]!==s){var y={};if(d){var x=g.z;y.z=x!==s?x:0}m&&(y.r=n(p[u])&&p[u]>0?+p[u]:0),f.push({type:\"Feature\",geometry:{type:\"Point\",coordinates:v},properties:y})}}var b=o.extractOpts(e),_=b.reversescale?o.flipScale(b.colorscale):b.colorscale,w=_[0][1],T=[\"interpolate\",[\"linear\"],[\"heatmap-density\"],0,a.opacity(w)<1?w:a.addOpacity(w,0)];for(u=1;u<_.length;u++)T.push(_[u][0],_[u][1]);var k=[\"interpolate\",[\"linear\"],[\"get\",\"z\"],b.min,0,b.max,1];return i.extendFlat(c.heatmap.paint,{\"heatmap-weight\":d?k:1/(b.max-b.min),\"heatmap-color\":T,\"heatmap-radius\":m?{type:\"identity\",property:\"r\"}:e.radius,\"heatmap-opacity\":e.opacity}),c.geojson={type:\"FeatureCollection\",features:f},c.heatmap.layout.visibility=\"visible\",c}},{\"../../components/color\":367,\"../../components/colorscale\":379,\"../../constants/numerical\":491,\"../../lib\":515,\"../../lib/geojson_utils\":509,\"fast-isnumeric\":190}],774:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/colorscale/defaults\"),a=t(\"./attributes\");e.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s(\"lon\")||[],c=s(\"lat\")||[],u=Math.min(l.length,c.length);u?(e._length=u,s(\"z\"),s(\"radius\"),s(\"below\"),s(\"text\"),s(\"hovertext\"),s(\"hovertemplate\"),i(t,e,o,s,{prefix:\"\",cLetter:\"z\"})):e.visible=!1}},{\"../../components/colorscale/defaults\":377,\"../../lib\":515,\"./attributes\":771}],775:[function(t,e,r){\"use 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a&&-1===a.indexOf(\"plotly-\"))return a}},moduleType:\"trace\",name:\"densitymapbox\",basePlotModule:t(\"../../plots/mapbox\"),categories:[\"mapbox\",\"gl\",\"showLegend\"],meta:{hr_name:\"density_mapbox\"}}},{\"../../plots/mapbox\":622,\"../heatmap/colorbar\":804,\"../scattermapbox/format_labels\":1006,\"./attributes\":771,\"./calc\":772,\"./defaults\":774,\"./event_data\":775,\"./hover\":776,\"./plot\":778}],778:[function(t,e,r){\"use strict\";var n=t(\"./convert\"),i=t(\"../../plots/mapbox/constants\").traceLayerPrefix;function a(t,e){this.type=\"densitymapbox\",this.subplot=t,this.uid=e,this.sourceId=\"source-\"+e,this.layerList=[[\"heatmap\",i+e+\"-heatmap\"]],this.below=null}var o=a.prototype;o.update=function(t){var e=this.subplot,r=this.layerList,i=n(t),a=e.belowLookup[\"trace-\"+this.uid];e.map.getSource(this.sourceId).setData(i.geojson),a!==this.below&&(this._removeLayers(),this._addLayers(i,a),this.below=a);for(var o=0;o<r.length;o++){var 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t=i.numbersScaler(h);D+=t[2];var e,r=S(m,\"numbersScale\",1,t[0],D,Math.min);m._scaleNumbers||(r=1),e=m._isAngular?v-r*h.bottom:v-r*(h.top+h.bottom)/2,m._numbersTop=r*h.top+e;var n=h[T];\"center\"===T&&(n=(h.left+h.right)/2);var a=g-r*n;return a=S(m,\"numbersTranslate\",0,a,D,Math.max),l(a,e)+s(r)}))}(t,O,e,{numbersX:m,numbersY:E,numbersScaler:L,transitionOpts:r,onComplete:g}),z&&(C={range:I.gauge.axis.range,color:I.gauge.bgcolor,line:{color:I.gauge.bordercolor,width:0},thickness:1},P={range:I.gauge.axis.range,color:\"rgba(0, 0, 0, 0)\",line:{color:I.gauge.bordercolor,width:I.gauge.borderwidth},thickness:1});var Y=O.selectAll(\"g.angular\").data(D?e:[]);Y.exit().remove();var W=O.selectAll(\"g.angularaxis\").data(D?e:[]);W.exit().remove(),D&&function(t,e,r,a){var o,s,f,h,p=r[0].trace,m=a.size,g=a.radius,v=a.innerRadius,y=a.gaugeBg,x=a.gaugeOutline,b=[m.l+m.w/2,m.t+m.h/2+g/2],_=a.gauge,A=a.layer,M=a.transitionOpts,S=a.onComplete,E=Math.PI/2;function L(t){var e=p.gauge.axis.range[0],r=(t-e)/(p.gauge.axis.range[1]-e)*Math.PI-E;return r<-E?-E:r>E?E:r}function C(t){return n.svg.arc().innerRadius((v+g)/2-t/2*(g-v)).outerRadius((v+g)/2+t/2*(g-v)).startAngle(-E)}function P(t){t.attr(\"d\",(function(t){return C(t.thickness).startAngle(L(t.range[0])).endAngle(L(t.range[1]))()}))}_.enter().append(\"g\").classed(\"angular\",!0),_.attr(\"transform\",l(b[0],b[1])),A.enter().append(\"g\").classed(\"angularaxis\",!0).classed(\"crisp\",!0),A.selectAll(\"g.xangularaxistick,path,text\").remove(),(o=k(t,p.gauge.axis)).type=\"linear\",o.range=p.gauge.axis.range,o._id=\"xangularaxis\",o.ticklabeloverflow=\"allow\",o.setScale();var I=function(t){return(o.range[0]-t.x)/(o.range[1]-o.range[0])*Math.PI+Math.PI},O={},z=d.makeLabelFns(o,0).labelStandoff;O.xFn=function(t){var e=I(t);return Math.cos(e)*z},O.yFn=function(t){var e=I(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(z+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*u)},O.anchorFn=function(t){var e=I(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},O.heightFn=function(t,e,r){var n=I(t);return-.5*(1+Math.sin(n))*r};var D=function(t){return l(b[0]+g*Math.cos(t),b[1]-g*Math.sin(t))};f=function(t){return D(I(t))};if(s=d.calcTicks(o),h=d.getTickSigns(o)[2],o.visible){h=\"inside\"===o.ticks?-1:1;var R=(o.linewidth||1)/2;d.drawTicks(t,o,{vals:s,layer:A,path:\"M\"+h*R+\",0h\"+h*o.ticklen,transFn:function(t){var e=I(t);return D(e)+\"rotate(\"+-c(e)+\")\"}}),d.drawLabels(t,o,{vals:s,layer:A,transFn:f,labelFns:O})}var F=[y].concat(p.gauge.steps),B=_.selectAll(\"g.bg-arc\").data(F);B.enter().append(\"g\").classed(\"bg-arc\",!0).append(\"path\"),B.select(\"path\").call(P).call(T),B.exit().remove();var N=C(p.gauge.bar.thickness),j=_.selectAll(\"g.value-arc\").data([p.gauge.bar]);j.enter().append(\"g\").classed(\"value-arc\",!0).append(\"path\");var U=j.select(\"path\");w(M)?(U.transition().duration(M.duration).ease(M.easing).each(\"end\",(function(){S&&S()})).each(\"interrupt\",(function(){S&&S()})).attrTween(\"d\",(V=N,H=L(r[0].lastY),q=L(r[0].y),function(){var t=i(H,q);return function(e){return V.endAngle(t(e))()}})),p._lastValue=r[0].y):U.attr(\"d\",\"number\"==typeof r[0].y?N.endAngle(L(r[0].y)):\"M0,0Z\");var V,H,q;U.call(T),j.exit().remove(),F=[];var G=p.gauge.threshold.value;(G||0===G)&&F.push({range:[G,G],color:p.gauge.threshold.color,line:{color:p.gauge.threshold.line.color,width:p.gauge.threshold.line.width},thickness:p.gauge.threshold.thickness});var Y=_.selectAll(\"g.threshold-arc\").data(F);Y.enter().append(\"g\").classed(\"threshold-arc\",!0).append(\"path\"),Y.select(\"path\").call(P).call(T),Y.exit().remove();var W=_.selectAll(\"g.gauge-outline\").data([x]);W.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),W.select(\"path\").call(P).call(T),W.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:Y,layer:W,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var Z=O.selectAll(\"g.bullet\").data(R?e:[]);Z.exit().remove();var X=O.selectAll(\"g.bulletaxis\").data(R?e:[]);X.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,c,u=r[0].trace,f=n.gauge,p=n.layer,m=n.gaugeBg,g=n.gaugeOutline,v=n.size,x=u.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append(\"g\").classed(\"bullet\",!0),f.attr(\"transform\",l(v.l,v.t)),p.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),p.selectAll(\"g.xbulletaxistick,path,text\").remove();var A=v.h,M=u.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(u._hasNumber||u._hasDelta?1-h.bulletNumberDomainSize:1);(i=k(t,u.gauge.axis))._id=\"xbulletaxis\",i.domain=[S,E],i.setScale(),a=d.calcTicks(i),o=d.makeTransTickFn(i),s=d.getTickSigns(i)[2],c=v.t+v.h,i.visible&&(d.drawTicks(t,i,{vals:\"inside\"===i.ticks?d.clipEnds(i,a):a,layer:p,path:d.makeTickPath(i,c,s),transFn:o}),d.drawLabels(t,i,{vals:a,layer:p,transFn:o,labelFns:d.makeLabelFns(i,c)}));function L(t){t.attr(\"width\",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr(\"x\",(function(t){return i.c2p(t.range[0])})).attr(\"y\",(function(t){return.5*(1-t.thickness)*A})).attr(\"height\",(function(t){return t.thickness*A}))}var C=[m].concat(u.gauge.steps),P=f.selectAll(\"g.bg-bullet\").data(C);P.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),P.select(\"rect\").call(L).call(T),P.exit().remove();var I=f.selectAll(\"g.value-bullet\").data([u.gauge.bar]);I.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),I.select(\"rect\").attr(\"height\",M).attr(\"y\",(A-M)/2).call(T),w(b)?I.select(\"rect\").transition().duration(b.duration).ease(b.easing).each(\"end\",(function(){_&&_()})).each(\"interrupt\",(function(){_&&_()})).attr(\"width\",Math.max(0,i.c2p(Math.min(u.gauge.axis.range[1],r[0].y)))):I.select(\"rect\").attr(\"width\",\"number\"==typeof r[0].y?Math.max(0,i.c2p(Math.min(u.gauge.axis.range[1],r[0].y))):0);I.exit().remove();var O=r.filter((function(){return u.gauge.threshold.value||0===u.gauge.threshold.value})),z=f.selectAll(\"g.threshold-bullet\").data(O);z.enter().append(\"g\").classed(\"threshold-bullet\",!0).append(\"line\"),z.select(\"line\").attr(\"x1\",i.c2p(u.gauge.threshold.value)).attr(\"x2\",i.c2p(u.gauge.threshold.value)).attr(\"y1\",(1-u.gauge.threshold.thickness)/2*A).attr(\"y2\",(1-(1-u.gauge.threshold.thickness)/2)*A).call(y.stroke,u.gauge.threshold.line.color).style(\"stroke-width\",u.gauge.threshold.line.width),z.exit().remove();var D=f.selectAll(\"g.gauge-outline\").data([g]);D.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"rect\"),D.select(\"rect\").call(L).call(T),D.exit().remove()}(t,0,e,{gauge:Z,layer:X,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var J=O.selectAll(\"text.title\").data(e);J.exit().remove(),J.enter().append(\"text\").classed(\"title\",!0),J.attr(\"text-anchor\",(function(){return R?x.right:x[I.title.align]})).text(I.title.text).call(f.font,I.title.font).call(p.convertToTspans,t),J.attr(\"transform\",(function(){var t,e=B.l+B.w*b[I.title.align],r=h.titlePadding,n=f.bBox(J.node());if(z){if(D)if(I.gauge.axis.visible)t=f.bBox(W.node()).top-r-n.bottom;else t=B.t+B.h/2-U/2-n.bottom-r;R&&(t=E-(n.top+n.bottom)/2,e=B.l-h.bulletPadding*B.w)}else t=I._numbersTop-r-n.bottom;return l(e,t)}))}))}},{\"../../components/color\":367,\"../../components/drawing\":389,\"../../constants/alignment\":483,\"../../lib\":515,\"../../lib/svg_text_utils\":541,\"../../plots/cartesian/axes\":566,\"../../plots/cartesian/axis_defaults\":568,\"../../plots/cartesian/layout_attributes\":579,\"../../plots/cartesian/position_defaults\":582,\"./constants\":867,\"@plotly/d3\":58,\"d3-interpolate\":116}],871:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../mesh3d/attributes\"),s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=t(\"../../plot_api/edit_types\").overrideAll;var 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0===e.isomax||null===e.isomin?s:e.isomax,n(t,e,{vals:[e._vMin,e._vMax],containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":375,\"../streamtube/calc\":1054}],873:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_mesh3d,i=t(\"../../lib/gl_format_color\").parseColorScale,a=t(\"../../lib/str2rgbarray\"),o=t(\"../../components/colorscale\").extractOpts,s=t(\"../../plots/gl3d/zip3\"),l=function(t,e){for(var r=e.length-1;r>0;r--){var n=Math.min(e[r],e[r-1]),i=Math.max(e[r],e[r-1]);if(i>n&&n<t&&t<=i)return{id:r,distRatio:(i-t)/(i-n)}}return{id:0,distRatio:0}};function c(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.data=null,this.showContour=!1}var u=c.prototype;u.handlePick=function(t){if(t.object===this.mesh){var e=t.data.index,r=this.data._meshX[e],n=this.data._meshY[e],i=this.data._meshZ[e],a=this.data._Ys.length,o=this.data._Zs.length,s=l(r,this.data._Xs).id,c=l(n,this.data._Ys).id,u=l(i,this.data._Zs).id,f=t.index=u+o*c+o*a*s;t.traceCoordinate=[this.data._meshX[f],this.data._meshY[f],this.data._meshZ[f],this.data._value[f]];var h=this.data.hovertext||this.data.text;return Array.isArray(h)&&void 0!==h[f]?t.textLabel=h[f]:h&&(t.textLabel=h),!0}},u.update=function(t){var e=this.scene,r=e.fullSceneLayout;function n(t,e,r,n){return e.map((function(e){return t.d2l(e,0,n)*r}))}this.data=h(t);var l={positions:s(n(r.xaxis,t._meshX,e.dataScale[0],t.xcalendar),n(r.yaxis,t._meshY,e.dataScale[1],t.ycalendar),n(r.zaxis,t._meshZ,e.dataScale[2],t.zcalendar)),cells:s(t._meshI,t._meshJ,t._meshK),lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,contourEnable:t.contour.show,contourColor:a(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading},c=o(t);l.vertexIntensity=t._meshIntensity,l.vertexIntensityBounds=[c.min,c.max],l.colormap=i(t),this.mesh.update(l)},u.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()};var f=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"];function h(t){t._meshI=[],t._meshJ=[],t._meshK=[];var 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s=o[0];i(t,s,r,a)}},r.clean=function(t,e,r,n){var i=n._has&&n._has(\"parcats\"),a=e._has&&e._has(\"parcats\");i&&!a&&n._paperdiv.selectAll(\".parcats\").remove()}},{\"../../plots/get_data\":602,\"./plot\":896}],892:[function(t,e,r){\"use strict\";var n=t(\"../../lib/gup\").wrap,i=t(\"../../components/colorscale/helpers\").hasColorscale,a=t(\"../../components/colorscale/calc\"),o=t(\"../../lib/filter_unique.js\"),s=t(\"../../components/drawing\"),l=t(\"../../lib\"),c=t(\"fast-isnumeric\");function u(t,e,r){t.valueInds.push(e),t.count+=r}function f(t,e,r){return{categoryInds:t,color:e,rawColor:r,valueInds:[],count:0}}function h(t,e,r){t.valueInds.push(e),t.count+=r}e.exports=function(t,e){var r=l.filterVisible(e.dimensions);if(0===r.length)return[];var p,d,m,g=r.map((function(t){var e;if(\"trace\"===t.categoryorder)e=null;else if(\"array\"===t.categoryorder)e=t.categoryarray;else{e=o(t.values);for(var r=!0,n=0;n<e.length;n++)if(!c(e[n])){r=!1;break}e.sort(r?l.sorterAsc:void 0),\"category 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r=t._ticktext.length;r<e.uniqueValues.length;r++)t._ticktext.push(e.uniqueValues[r])}(t,g[e])}));var v,y=e.line;y?(i(e,\"line\")&&a(t,e,{vals:e.line.color,containerStr:\"line\",cLetter:\"c\"}),v=s.tryColorscale(y)):v=l.identity;var x,b,_,w,T,k=r[0].values.length,A={},M=g.map((function(t){return t.inds}));for(m=0,x=0;x<k;x++){var S=[];for(b=0;b<M.length;b++)S.push(M[b][x]);d=p[x%p.length],m+=d;var E=(_=x,w=void 0,T=void 0,l.isArrayOrTypedArray(y.color)?T=w=y.color[_%y.color.length]:w=y.color,{color:v(w),rawColor:T}),L=S+\"-\"+E.rawColor;void 0===A[L]&&(A[L]=f(S,E.color,E.rawColor)),h(A[L],x,d)}var C,P=r.map((function(t,e){return function(t,e,r,n,i){return{dimensionInd:t,containerInd:e,displayInd:r,dimensionLabel:n,count:i,categories:[],dragX:null}}(e,t._index,t._displayindex,t.label,m)}));for(x=0;x<k;x++)for(d=p[x%p.length],b=0;b<P.length;b++){var I=P[b].containerInd,O=g[b].inds[x],z=P[b].categories;if(void 0===z[O]){var D=e.dimensions[I]._categoryarray[O],R=e.dimensions[I]._ticktext[O];z[O]={dimensionInd:b,categoryInd:C=O,categoryValue:D,displayInd:C,categoryLabel:R,valueInds:[],count:0,dragY:null}}u(z[O],x,d)}return n(function(t,e,r){var n=t.map((function(t){return t.categories.length})).reduce((function(t,e){return Math.max(t,e)}));return{dimensions:t,paths:e,trace:void 0,maxCats:n,count:r}}(P,A,m))}},{\"../../components/colorscale/calc\":375,\"../../components/colorscale/helpers\":378,\"../../components/drawing\":389,\"../../lib\":515,\"../../lib/filter_unique.js\":506,\"../../lib/gup\":512,\"fast-isnumeric\":190}],893:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/colorscale/helpers\").hasColorscale,a=t(\"../../components/colorscale/defaults\"),o=t(\"../../plots/domain\").defaults,s=t(\"../../plots/array_container_defaults\"),l=t(\"./attributes\"),c=t(\"../parcoords/merge_length\");function u(t,e){function r(r,i){return n.coerce(t,e,l.dimensions,r,i)}var i=r(\"values\"),a=r(\"visible\");if(i&&i.length||(a=e.visible=!1),a){r(\"label\"),r(\"displayindex\",e._index);var o,s=t.categoryarray,c=Array.isArray(s)&&s.length>0;c&&(o=\"array\");var u=r(\"categoryorder\",o);\"array\"===u?(r(\"categoryarray\"),r(\"ticktext\")):(delete t.categoryarray,delete t.ticktext),c||\"array\"!==u||(e.categoryorder=\"trace\")}}e.exports=function(t,e,r,f){function h(r,i){return n.coerce(t,e,l,r,i)}var p=s(t,e,{name:\"dimensions\",handleItemDefaults:u}),d=function(t,e,r,o,s){s(\"line.shape\"),s(\"line.hovertemplate\");var l=s(\"line.color\",o.colorway[0]);if(i(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,f,h);o(e,f,h),Array.isArray(p)&&p.length||(e.visible=!1),c(e,p,\"values\",d),h(\"hoveron\"),h(\"hovertemplate\"),h(\"arrangement\"),h(\"bundlecolors\"),h(\"sortpaths\"),h(\"counts\");var m={family:f.font.family,size:Math.round(f.font.size),color:f.font.color};n.coerceFont(h,\"labelfont\",m);var g={family:f.font.family,size:Math.round(f.font.size/1.2),color:f.font.color};n.coerceFont(h,\"tickfont\",g)}},{\"../../components/colorscale/defaults\":377,\"../../components/colorscale/helpers\":378,\"../../lib\":515,\"../../plots/array_container_defaults\":561,\"../../plots/domain\":593,\"../parcoords/merge_length\":907,\"./attributes\":890}],894:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcats\",basePlotModule:t(\"./base_plot\"),categories:[\"noOpacity\"],meta:{}}},{\"./attributes\":890,\"./base_plot\":891,\"./calc\":892,\"./defaults\":893,\"./plot\":896}],895:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"d3-interpolate\").interpolateNumber,a=t(\"../../plot_api/plot_api\"),o=t(\"../../components/fx\"),s=t(\"../../lib\"),l=s.strTranslate,c=t(\"../../components/drawing\"),u=t(\"tinycolor2\"),f=t(\"../../lib/svg_text_utils\");function h(t,e,r,i){var a=e._context.staticPlot,o=t.map(F.bind(0,e,r)),u=i.selectAll(\"g.parcatslayer\").data([null]);u.enter().append(\"g\").attr(\"class\",\"parcatslayer\").style(\"pointer-events\",a?\"none\":\"all\");var h=u.selectAll(\"g.trace.parcats\").data(o,p),y=h.enter().append(\"g\").attr(\"class\",\"trace parcats\");h.attr(\"transform\",(function(t){return l(t.x,t.y)})),y.append(\"g\").attr(\"class\",\"paths\");var x=h.select(\"g.paths\").selectAll(\"path.path\").data((function(t){return t.paths}),p);x.attr(\"fill\",(function(t){return t.model.color}));var w=x.enter().append(\"path\").attr(\"class\",\"path\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",0);_(w),x.attr(\"d\",(function(t){return t.svgD})),w.empty()||x.sort(m),x.exit().remove(),x.on(\"mouseover\",g).on(\"mouseout\",v).on(\"click\",b),y.append(\"g\").attr(\"class\",\"dimensions\");var A=h.select(\"g.dimensions\").selectAll(\"g.dimension\").data((function(t){return t.dimensions}),p);A.enter().append(\"g\").attr(\"class\",\"dimension\"),A.attr(\"transform\",(function(t){return l(t.x,0)})),A.exit().remove();var M=A.selectAll(\"g.category\").data((function(t){return t.categories}),p),S=M.enter().append(\"g\").attr(\"class\",\"category\");M.attr(\"transform\",(function(t){return l(0,t.y)})),S.append(\"rect\").attr(\"class\",\"catrect\").attr(\"pointer-events\",\"none\"),M.select(\"rect.catrect\").attr(\"fill\",\"none\").attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})),T(S);var E=M.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),p);E.each((function(){s.raiseToTop(this)})),E.attr(\"fill\",(function(t){return t.color}));var z=E.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);E.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(z),E.exit().remove(),S.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var D=e._fullLayout.paper_bgcolor;M.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",f.makeTextShadow(D)).style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return d(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){c.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),S.append(\"text\").attr(\"class\",\"dimlabel\"),M.select(\"text.dimlabel\").attr(\"text-anchor\",\"middle\").attr(\"alignment-baseline\",\"baseline\").attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"ew-resize\"})).attr(\"x\",(function(t){return t.width/2})).attr(\"y\",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){c.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll(\"rect.bandrect\").on(\"mouseover\",L).on(\"mouseout\",C),M.exit().remove(),A.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",P).on(\"drag\",I).on(\"dragend\",O)),h.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),t.dimensionSelection=n.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")})),h.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function m(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function g(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){s.raiseToTop(this),w(n.select(this));var e=y(t),r=x(t);if(t.parcatsViewModel.graphDiv.emit(\"plotly_hover\",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")){var i,a,l,c=n.mouse(this)[0],f=t.parcatsViewModel.graphDiv,h=t.parcatsViewModel.trace,p=f._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),m=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(l=0;l<t.leftXs.length-1;l++)if(t.leftXs[l]+t.dimWidths[l]-2<=c&&c<=t.leftXs[l+1]+2){var g=t.parcatsViewModel.dimensions[l],v=t.parcatsViewModel.dimensions[l+1];i=(g.x+g.width+v.x)/2,a=(t.topYs[l]+t.topYs[l+1]+t.height)/2;break}var b=t.parcatsViewModel.x+i,_=t.parcatsViewModel.y+a,T=u.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,A=k/t.parcatsViewModel.model.count,M={countLabel:k,probabilityLabel:A.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",M.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",M.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+m.left,y:_-d.top+m.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:L<b?\"right\":\"left\",hovertemplate:(h.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:h._input,fullData:h,count:k,probability:A}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:f})}}}function v(t){if(!t.parcatsViewModel.dragDimension&&(_(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(m),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=y(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function y(t){for(var e=[],r=z(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function x(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function b(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=y(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function _(t){t.attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return u.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function T(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function k(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each((function(t){A(t).each((function(t){Array.prototype.push.apply(l,y(t))}))}));var c={};c[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function S(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=A(i),l=[];s.each((function(t){Array.prototype.push.apply(l,y(t))}));var c={};c[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(c.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:c})}function E(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select(\"rect.catrect\"),c=l.node().getBoundingClientRect(),u=l.datum(),f=u.parcatsViewModel,h=f.model.dimensions[u.model.dimensionInd],p=f.trace,d=c.top+c.height/2;f.dimensions.length>1&&h.displayInd===f.dimensions.length-1?(i=c.left,a=\"left\"):(i=c.left+c.width,a=\"right\");var m=u.model.count,g=u.model.categoryLabel,v=m/u.parcatsViewModel.model.count,y={countLabel:m,categoryLabel:g,probabilityLabel:v.toFixed(3)},x=[];-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&x.push([\"Count:\",y.countLabel].join(\" \")),-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&x.push([\"P(\"+y.categoryLabel+\"):\",y.probabilityLabel].join(\" \"));var b=x.join(\"<br>\");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:b,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", 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e=A(t);w(e),e.each((function(){s.raiseToTop(this)}))})),n.select(t.parentNode).select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}(this),M(this,\"plotly_hover\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\"))\"category\"===l?e=E(r,a,this):\"color\"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),c=n.select(r).datum(),f=c.categoryViewModel,h=f.parcatsViewModel,p=h.model.dimensions[f.model.dimensionInd],d=h.trace,m=l.y+l.height/2;h.dimensions.length>1&&p.displayInd===h.dimensions.length-1?(i=l.left,a=\"left\"):(i=l.left+l.width,a=\"right\");var g=f.model.categoryLabel,v=c.parcatsViewModel.model.count,y=0;c.categoryViewModel.bands.forEach((function(t){t.color===c.color&&(y+=t.count)}));var x=f.model.count,b=0;h.pathSelection.each((function(t){t.model.color===c.color&&(b+=t.model.count)}));var _=y/v,w=y/b,T=y/x,k={countLabel:v,categoryLabel:g,probabilityLabel:_.toFixed(3)},A=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&A.push([\"Count:\",k.countLabel].join(\" \")),-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(A.push(\"P(color \\u2229 \"+g+\"): \"+k.probabilityLabel),A.push(\"P(\"+g+\" | color): \"+w.toFixed(3)),A.push(\"P(color | \"+g+\"): \"+T.toFixed(3)));var M=A.join(\"<br>\"),S=u.mostReadable(c.color,[\"black\",\"white\"]);return{trace:d,x:o*(i-e.left),y:s*(m-e.top),text:M,color:c.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:g,count:v,probability:_,categorycount:x,colorcount:b,bandcolorcount:y}]}}(r,a,this):\"dimension\"===l&&(e=function(t,e,r){var i=[];return 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t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function I(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var 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t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[u],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[f],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd)t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null;t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){R(t.parcatsViewModel,!0),D(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function 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e>=.9*t[1]+.1*t[0]?\"n\":e<=.9*t[0]+.1*t[1]?\"s\":\"ns\"}(d,e);m&&(o.interval=l[a],o.intervalPix=d,o.region=m)}}if(t.ordinal&&!o.region){var g=t.unitTickvals,y=t.unitToPaddedPx.invert(e);for(r=0;r<g.length;r++){var x=[.25*g[Math.max(r-1,0)]+.75*g[r],.25*g[Math.min(r+1,g.length-1)]+.75*g[r]];if(y>=x[0]&&y<=x[1]){o.clickableOrdinalRange=x;break}}}return o}function w(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.brush.svgBrush;a.wasDragged=!0,a._dragging=!0,a.grabbingBar?a.newExtent=[r-a.grabPoint,r+a.barLength-a.grabPoint].map(e.unitToPaddedPx.invert):a.newExtent=[a.startExtent,e.unitToPaddedPx.invert(r)].sort(s),e.brush.filterSpecified=!0,a.extent=a.stayingIntervals.concat([a.newExtent]),a.brushCallback(e),b(t.parentNode)}function T(t,e){var r=_(e,e.height-i.mouse(t)[1]-2*n.verticalPadding),a=\"crosshair\";r.clickableOrdinalRange?a=\"pointer\":r.region&&(a=r.region+\"-resize\"),i.select(document.body).style(\"cursor\",a)}function k(t){t.on(\"mousemove\",(function(t){i.event.preventDefault(),t.parent.inBrushDrag||T(this,t)})).on(\"mouseleave\",(function(t){t.parent.inBrushDrag||y()})).call(i.behavior.drag().on(\"dragstart\",(function(t){!function(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.unitToPaddedPx.invert(r),o=e.brush,s=_(e,r),l=s.interval,c=o.svgBrush;if(c.wasDragged=!1,c.grabbingBar=\"ns\"===s.region,c.grabbingBar){var u=l.map(e.unitToPaddedPx);c.grabPoint=r-u[0]-n.verticalPadding,c.barLength=u[1]-u[0]}c.clickableOrdinalRange=s.clickableOrdinalRange,c.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(c.stayingIntervals=c.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),c.startExtent=s.region?l[\"s\"===s.region?1:0]:a,e.parent.inBrushDrag=!0,c.brushStartCallback()}(this,t)})).on(\"drag\",(function(t){w(this,t)})).on(\"dragend\",(function(t){!function(t,e){var r=e.brush,n=r.filter,a=r.svgBrush;a._dragging||(T(t,e),w(t,e),e.brush.svgBrush.wasDragged=!1),a._dragging=!1,i.event.sourceEvent.stopPropagation();var o=a.grabbingBar;if(a.grabbingBar=!1,a.grabLocation=void 0,e.parent.inBrushDrag=!1,y(),!a.wasDragged)return a.wasDragged=void 0,a.clickableOrdinalRange?r.filterSpecified&&e.multiselect?a.extent.push(a.clickableOrdinalRange):(a.extent=[a.clickableOrdinalRange],r.filterSpecified=!0):o?(a.extent=a.stayingIntervals,0===a.extent.length&&M(r)):M(r),a.brushCallback(e),b(t.parentNode),void a.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),a.newExtent=[p(0,l,a.newExtent[0],a.stayingIntervals),p(1,l,a.newExtent[1],a.stayingIntervals)];var c=a.newExtent[1]>a.newExtent[0];a.extent=a.stayingIntervals.concat(c?[a.newExtent]:[]),a.extent.length||M(r),a.brushCallback(e),c?b(t.parentNode,s):(s(),b(t.parentNode))}else s();a.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function A(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function S(t){for(var e,r=t.slice(),n=[],i=r.shift();i;){for(e=i.slice();(i=r.shift())&&i[0]<=e[1];)e[1]=Math.max(e[1],i[1]);n.push(e)}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}e.exports={makeBrush:function(t,e,r,n,i,a){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(A)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e).slice();e.filter.set(r),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e,r){var i=t.selectAll(\".\"+n.cn.axisBrush).data(o,a);i.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t,e,r){var i=r._context.staticPlot,a=t.selectAll(\".background\").data(o);a.enter().append(\"rect\").classed(\"background\",!0).call(d).call(m).style(\"pointer-events\",i?\"none\":\"auto\").attr(\"transform\",l(0,n.verticalPadding)),a.call(k).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var s=t.selectAll(\".highlight-shadow\").data(o);s.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",e).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),s.attr(\"y1\",(function(t){return t.height})).call(x);var c=t.selectAll(\".highlight\").data(o);c.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width-n.bar.strokeWidth).attr(\"stroke\",n.bar.fillColor).attr(\"opacity\",n.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),c.attr(\"y1\",(function(t){return t.height})).call(x)}(i,e,r)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(A)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},{\"../../lib\":515,\"../../lib/gup\":512,\"./constants\":902,\"@plotly/d3\":58}],899:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcoords\",basePlotModule:t(\"./base_plot\"),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},{\"./attributes\":897,\"./base_plot\":900,\"./calc\":901,\"./defaults\":903}],900:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../plots/get_data\").getModuleCalcData,a=t(\"./plot\"),o=t(\"../../constants/xmlns_namespaces\");r.name=\"parcoords\",r.plot=function(t){var e=i(t.calcdata,\"parcoords\")[0];e.length&&a(t,e)},r.clean=function(t,e,r,n){var i=n._has&&n._has(\"parcoords\"),a=e._has&&e._has(\"parcoords\");i&&!a&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},r.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter((function(t,e){return e===r.size()-1})).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each((function(){var t=this.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":t,preserveAspectRatio:\"none\",x:0,y:0,width:this.style.width,height:this.style.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},{\"../../constants/xmlns_namespaces\":492,\"../../plots/get_data\":602,\"./plot\":909,\"@plotly/d3\":58}],901:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isArrayOrTypedArray,i=t(\"../../components/colorscale\"),a=t(\"../../lib/gup\").wrap;e.exports=function(t,e){var r,o;return i.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),a({lineColor:r,cscale:o})}},{\"../../components/colorscale\":379,\"../../lib\":515,\"../../lib/gup\":512}],902:[function(t,e,r){\"use strict\";e.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:[\"contextLineLayer\",\"focusLineLayer\",\"pickLineLayer\"],axisTitleOffset:28,axisExtentOffset:10,bar:{width:4,captureWidth:10,fillColor:\"magenta\",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:\"axis-extent-text\",parcoordsLineLayers:\"parcoords-line-layers\",parcoordsLineLayer:\"parcoords-lines\",parcoords:\"parcoords\",parcoordsControlView:\"parcoords-control-view\",yAxis:\"y-axis\",axisOverlays:\"axis-overlays\",axis:\"axis\",axisHeading:\"axis-heading\",axisTitle:\"axis-title\",axisExtent:\"axis-extent\",axisExtentTop:\"axis-extent-top\",axisExtentTopText:\"axis-extent-top-text\",axisExtentBottom:\"axis-extent-bottom\",axisExtentBottomText:\"axis-extent-bottom-text\",axisBrush:\"axis-brush\"},id:{filterBarPattern:\"filter-bar-pattern\"}}},{}],903:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/colorscale/helpers\").hasColorscale,a=t(\"../../components/colorscale/defaults\"),o=t(\"../../plots/domain\").defaults,s=t(\"../../plots/array_container_defaults\"),l=t(\"../../plots/cartesian/axes\"),c=t(\"./attributes\"),u=t(\"./axisbrush\"),f=t(\"./constants\").maxDimensionCount,h=t(\"./merge_length\");function p(t,e,r,i){function a(r,i){return n.coerce(t,e,c.dimensions,r,i)}var o=a(\"values\"),s=a(\"visible\");if(o&&o.length||(s=e.visible=!1),s){a(\"label\"),a(\"tickvals\"),a(\"ticktext\"),a(\"tickformat\");var f=a(\"range\");e._ax={_id:\"y\",type:\"linear\",showexponent:\"all\",exponentformat:\"B\",range:f},l.setConvert(e._ax,i.layout),a(\"multiselect\");var h=a(\"constraintrange\");h&&(e.constraintrange=u.cleanRanges(h,e))}}e.exports=function(t,e,r,l){function u(r,i){return n.coerce(t,e,c,r,i)}var d=t.dimensions;Array.isArray(d)&&d.length>f&&(n.log(\"parcoords traces support up to \"+f+\" dimensions at the moment\"),d.splice(f));var m=s(t,e,{name:\"dimensions\",layout:l,handleItemDefaults:p}),g=function(t,e,r,o,s){var l=s(\"line.color\",r);if(i(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,u);o(e,l,u),Array.isArray(m)&&m.length||(e.visible=!1),h(e,m,\"values\",g);var v={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(u,\"labelfont\",v),n.coerceFont(u,\"tickfont\",v),n.coerceFont(u,\"rangefont\",v),u(\"labelangle\"),u(\"labelside\"),u(\"unselected.line.color\"),u(\"unselected.line.opacity\")}},{\"../../components/colorscale/defaults\":377,\"../../components/colorscale/helpers\":378,\"../../lib\":515,\"../../plots/array_container_defaults\":561,\"../../plots/cartesian/axes\":566,\"../../plots/domain\":593,\"./attributes\":897,\"./axisbrush\":898,\"./constants\":902,\"./merge_length\":907}],904:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isTypedArray;r.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},r.isOrdinal=function(t){return!!t.tickvals},r.isVisible=function(t){return t.visible||!(\"visible\"in t)}},{\"../../lib\":515}],905:[function(t,e,r){\"use strict\";var n=t(\"./base_index\");n.plot=t(\"./plot\"),e.exports=n},{\"./base_index\":899,\"./plot\":909}],906:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\\n               p17_20, p21_24, p25_28, p29_32,\\n               p33_36, p37_40, p41_44, p45_48,\\n               p49_52, p53_56, p57_60, colors;\\n\\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\nuniform sampler2D maskTexture, palette;\\n\\nbool isPick    = (drwLayer > 1.5);\\nbool isContext = (drwLayer < 0.5);\\n\\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\\n\\nfloat val(mat4 p, mat4 v) {\\n    return dot(matrixCompMult(p, v) * UNITS, UNITS);\\n}\\n\\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\\n    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\\n    return y1 * (1.0 - ratio) + y2 * ratio;\\n}\\n\\nint iMod(int a, int b) {\\n    return a - b * (a / b);\\n}\\n\\nbool fOutside(float p, float lo, float hi) {\\n    return (lo < hi) && (lo > p || p > hi);\\n}\\n\\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\\n    return (\\n        fOutside(p[0], lo[0], hi[0]) ||\\n        fOutside(p[1], lo[1], hi[1]) ||\\n        fOutside(p[2], lo[2], hi[2]) ||\\n        fOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n    return (\\n        vOutside(p[0], lo[0], hi[0]) ||\\n        vOutside(p[1], lo[1], hi[1]) ||\\n        vOutside(p[2], lo[2], hi[2]) ||\\n        vOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    return mOutside(A, loA, hiA) ||\\n           mOutside(B, loB, hiB) ||\\n           mOutside(C, loC, hiC) ||\\n           mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    mat4 pnts[4];\\n    pnts[0] = A;\\n    pnts[1] = B;\\n    pnts[2] = C;\\n    pnts[3] = D;\\n\\n    for(int i = 0; i < 4; ++i) {\\n        for(int j = 0; j < 4; ++j) {\\n            for(int k = 0; k < 4; ++k) {\\n                if(0 == iMod(\\n                    int(255.0 * texture2D(maskTexture,\\n                        vec2(\\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\\n                        ))[3]\\n                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\\n                    2\\n                )) return true;\\n            }\\n        }\\n    }\\n    return false;\\n}\\n\\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float x = 0.5 * sign(v) + 0.5;\\n    float y = axisY(x, A, B, C, D);\\n    float z = 1.0 - abs(v);\\n\\n    z += isContext ? 0.0 : 2.0 * float(\\n        outsideBoundingBox(A, B, C, D) ||\\n        outsideRasterMask(A, B, C, D)\\n    );\\n\\n    return vec4(\\n        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\\n        z,\\n        1.0\\n    );\\n}\\n\\nvoid main() {\\n    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\\n    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\\n    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\\n    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\\n\\n    float v = colors[3];\\n\\n    gl_Position = position(isContext, v, A, B, C, D);\\n\\n    fragColor =\\n        isContext ? vec4(contextColor) :\\n        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\\n}\\n\"]),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n    gl_FragColor = fragColor;\\n}\\n\"]),o=t(\"./constants\").maxDimensionCount,s=t(\"../../lib\"),l=new Uint8Array(4),c=new Uint8Array(4),u={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function f(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function h(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(!function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var c=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],f(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*c,a.offset=2*l*n,e(a),l*n+c<i&&(r.currentRafs[o]=window.requestAnimationFrame((function(){s(l+1)}))),r.drawCompleted=!1)}(0)}function p(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function d(t,e){return(t>>>8*e)%256/255}function m(t,e,r){for(var n=new Array(8*e),i=0,a=0;a<e;a++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=4*t+s,c=r[64*a+l];63===l&&0===o&&(c*=-1),n[i++]=c}return n}function g(t){var e=\"0\"+t;return e.substr(e.length-2)}function v(t){return t<o?\"p\"+g(t+1)+\"_\"+g(t+4):\"colors\"}function y(t,e,r,n,i,a,o,l,c,u,f,h,p,d){for(var m=[[],[]],g=0;g<64;g++)m[0][g]=g===i?1:0,m[1][g]=g===a?1:0;o*=d,l*=d,c*=d,u*=d;var v=t.lines.canvasOverdrag*d,y=t.domain,x=t.canvasWidth*d,b=t.canvasHeight*d,_=t.pad.l*d,w=t.pad.b*d,T=t.layoutHeight*d,k=t.layoutWidth*d,A=t.deselectedLines.color,M=t.deselectedLines.opacity;return 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n=e.indexOf(r),i=t.indexOf(n);return-1===i&&(i+=e.length),i}(e.exports=function(t,e){var r=t._fullLayout;if(i(t,[],o)){var l={},c={},u={},f={},h=r._size;e.forEach((function(e,r){var n=e[0].trace;u[r]=n.index;var i=f[r]=n._fullInput.index;l[r]=t.data[i].dimensions,c[r]=t.data[i].dimensions.slice()}));n(t,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{filterChanged:function(e,n,i){var a=c[e][n],o=i.map((function(t){return t.slice()})),s=\"dimensions[\"+n+\"].constraintrange\",l=r._tracePreGUI[t._fullData[u[e]]._fullInput.uid];if(void 0===l[s]){var h=a.constraintrange;l[s]=h||null}var p=t._fullData[u[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),a.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete a.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit(\"plotly_restyle\",[d,[f[e]]])},hover:function(e){t.emit(\"plotly_hover\",e)},unhover:function(e){t.emit(\"plotly_unhover\",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return s(t,e,r)-s(t,e,n)}}(r,c[e].filter(a));l[e].sort(n),c[e].filter((function(t){return!a(t)})).sort((function(t){return c[e].indexOf(t)})).forEach((function(t){l[e].splice(l[e].indexOf(t),1),l[e].splice(c[e].indexOf(t),0,t)})),t.emit(\"plotly_restyle\",[{dimensions:[l[e]]},[f[e]]])}})}}).reglPrecompiled=o},{\"../../lib/prepare_regl\":528,\"./helpers\":904,\"./parcoords\":908}],910:[function(t,e,r){\"use strict\";var n=t(\"../../plots/attributes\"),i=t(\"../../plots/domain\").attributes,a=t(\"../../plots/font_attributes\"),o=t(\"../../components/color/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../lib/extend\").extendFlat,u=a({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});e.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:c({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:c({},u,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:c({},u,{}),position:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"plot\"},editType:\"plot\"},domain:i({name:\"pie\",trace:!0,editType:\"calc\"}),hole:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},sort:{valType:\"boolean\",dflt:!0,editType:\"calc\"},direction:{valType:\"enumerated\",values:[\"clockwise\",\"counterclockwise\"],dflt:\"counterclockwise\",editType:\"calc\"},rotation:{valType:\"angle\",dflt:0,editType:\"calc\"},pull:{valType:\"number\",min:0,max:1,dflt:0,arrayOk:!0,editType:\"calc\"},_deprecated:{title:{valType:\"string\",dflt:\"\",editType:\"calc\"},titlefont:c({},u,{}),titleposition:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"calc\"}}}},{\"../../components/color/attributes\":366,\"../../lib/extend\":505,\"../../plots/attributes\":562,\"../../plots/domain\":593,\"../../plots/font_attributes\":594,\"../../plots/template_attributes\":642}],911:[function(t,e,r){\"use strict\";var n=t(\"../../plots/plots\");r.name=\"pie\",r.plot=function(t,e,i,a){n.plotBasePlot(r.name,t,e,i,a)},r.clean=function(t,e,i,a){n.cleanBasePlot(r.name,t,e,i,a)}},{\"../../plots/plots\":628}],912:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"tinycolor2\"),a=t(\"../../components/color\"),o={};function s(t){return function(e,r){return!!e&&(!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e))}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r<t.length;r++)a.push(i(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)a.push(i(t[r]).darken(20).toHexString());e[n]=a}return a}e.exports={calc:function(t,e){var r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],c=e.labels,u=e.marker.colors||[],f=e.values,h=e._length,p=e._hasValues&&h;if(e.dlabel)for(c=new Array(h),r=0;r<h;r++)c[r]=String(e.label0+r*e.dlabel);var d={},m=s(o[\"_\"+e.type+\"colormap\"]),g=0,v=!1;for(r=0;r<h;r++){var y,x,b;if(p){if(y=f[r],!n(y))continue;y=+y}else y=1;void 0!==(x=c[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=a.length,(b=-1!==l.indexOf(x))||(g+=y),a.push({v:y,label:x,color:m(u[r],x),i:r,pts:[r],hidden:b})):(v=!0,(i=a[_]).v+=y,i.pts.push(r),i.hidden||(g+=y),!1===i.color&&u[r]&&(i.color=m(u[r],x)))}return a=a.filter((function(t){return t.v>=0})),(\"funnelarea\"===e.type?v:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var c=0,u=0;u<i.length;u++){var f=i[u];if(f[0].trace.type===r)for(var h=0;h<f.length;h++){var p=f[h];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[c%a.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},{\"../../components/color\":367,\"fast-isnumeric\":190,tinycolor2:313}],913:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"./attributes\"),o=t(\"../../plots/domain\").defaults,s=t(\"../bar/defaults\").handleText;function l(t,e){var r=Array.isArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var c=e[l];if(n(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return i.coerce(t,e,a,r,n)}var u=l(c(\"labels\"),c(\"values\")),f=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),f){e._length=f,c(\"marker.line.width\")&&c(\"marker.line.color\"),c(\"marker.colors\"),c(\"scalegroup\");var h,p=c(\"text\"),d=c(\"texttemplate\");if(d||(h=c(\"textinfo\",Array.isArray(p)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),d||h&&\"none\"!==h){var m=c(\"textposition\");s(t,e,n,c,m,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(m)||\"auto\"===m||\"outside\"===m)&&c(\"automargin\"),(\"inside\"===m||\"auto\"===m||Array.isArray(m))&&c(\"insidetextorientation\")}o(e,n,c);var g=c(\"hole\");if(c(\"title.text\")){var v=c(\"title.position\",g?\"middle center\":\"top center\");g||\"middle center\"!==v||(e.title.position=\"top center\"),i.coerceFont(c,\"title.font\",n.font)}c(\"sort\"),c(\"direction\"),c(\"rotation\"),c(\"pull\")}else e.visible=!1}}},{\"../../lib\":515,\"../../plots/domain\":593,\"../bar/defaults\":661,\"./attributes\":910,\"fast-isnumeric\":190}],914:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx/helpers\").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},{\"../../components/fx/helpers\":403}],915:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}r.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},r.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||\"\"===n)return n}},r.castOption=function(t,e){return Array.isArray(t)?r.getFirstFilled(t,e):t||void 0},r.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},{\"../../lib\":515}],916:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\").supplyDefaults,supplyLayoutDefaults:t(\"./layout_defaults\"),layoutAttributes:t(\"./layout_attributes\"),calc:t(\"./calc\").calc,crossTraceCalc:t(\"./calc\").crossTraceCalc,plot:t(\"./plot\").plot,style:t(\"./style\"),styleOne:t(\"./style_one\"),moduleType:\"trace\",name:\"pie\",basePlotModule:t(\"./base_plot\"),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},{\"./attributes\":910,\"./base_plot\":911,\"./calc\":912,\"./defaults\":913,\"./layout_attributes\":917,\"./layout_defaults\":918,\"./plot\":919,\"./style\":920,\"./style_one\":921}],917:[function(t,e,r){\"use strict\";e.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{}],918:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},{\"../../lib\":515,\"./layout_attributes\":917}],919:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../plots/plots\"),a=t(\"../../components/fx\"),o=t(\"../../components/color\"),s=t(\"../../components/drawing\"),l=t(\"../../lib\"),c=l.strScale,u=l.strTranslate,f=t(\"../../lib/svg_text_utils\"),h=t(\"../bar/uniform_text\"),p=h.recordMinTextSize,d=h.clearMinTextSize,m=t(\"../bar/constants\").TEXTPAD,g=t(\"./helpers\"),v=t(\"./event_data\"),y=t(\"../../lib\").isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,c=i.trace,u=\"funnelarea\"===c.type;\"_hasHoverLabel\"in c||(c._hasHoverLabel=!1),\"_hasHoverEvent\"in c||(c._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,f=e._fullData[c.index];if(!e._dragging&&!1!==r.hovermode){var h=f.hoverinfo;if(Array.isArray(h)&&(h=a.castHoverinfo({hoverinfo:[g.castOption(h,t.pts)],_module:c._module},r,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),f.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),m=s+t.pxmid[1]*(1-p),y=r.separators,x=[];if(h&&-1!==h.indexOf(\"label\")&&x.push(t.label),t.text=g.castOption(f.hovertext||f.text,t.pts),h&&-1!==h.indexOf(\"text\")){var b=t.text;l.isValidTextValue(b)&&x.push(b)}t.value=t.v,t.valueLabel=g.formatPieValue(t.v,y),h&&-1!==h.indexOf(\"value\")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,y),h&&-1!==h.indexOf(\"percent\")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:c,x0:d-p*i.r,x1:d+p*i.r,y:m,_x0:u?o+t.TL[0]:d-p*i.r,_x1:u?o+t.TR[0]:d+p*i.r,_y0:u?s+t.TL[1]:m-p*i.r,_y1:u?s+t.BL[1]:m+p*i.r,text:x.join(\"<br>\"),name:f.hovertemplate||-1!==h.indexOf(\"name\")?f.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:g.castOption(_.bgcolor,t.pts)||t.color,borderColor:g.castOption(_.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(_.namelength,t.pts),textAlign:g.castOption(_.align,t.pts),hovertemplate:g.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[v(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],c._hasHoverLabel=!0}c._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[v(t,f)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[c.index],o=n.select(this).datum();c._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[v(o,i)],event:n.event}),c._hasHoverEvent=!1),c._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),c._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[c.index];e._dragging||!1===r.hovermode||(e._hoverdata=[v(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(a).call(s.font,n.title.font).call(f.convertToTspans,e),c=s.bBox(o.node(),!0);r.titleBox={width:c.width,height:c.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,c=e.midangle,u=r.trace.insidetextorientation,f=\"horizontal\"===u,h=\"tangential\"===u,p=\"radial\"===u,d=\"auto\"===u,m=[];if(!d){var g,v=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),c=s<l?s:l;(a=\"tan\"===i?k(t,n,o,c,0):T(t,n,o,c,Math.PI/2)).textPosAngle=r,m.push(a)}};if(f||h){for(g=4;g>=-4;g-=2)v(Math.PI*g,\"tan\");for(g=4;g>=-4;g-=2)v(Math.PI*(g+1),\"tan\")}if(f||p){for(g=4;g>=-4;g-=2)v(Math.PI*(g+1.5),\"rad\");for(g=4;g>=-4;g-=2)v(Math.PI*(g+.5),\"rad\")}}if(s||d||f){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/y,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;m.push(a)}(d||p)&&((a=T(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a)),(d||h)&&((a=k(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a));for(var x=0,b=0,_=0;_<m.length;_++){var w=m[_].scale;if(b<w&&(b=w,x=_),!d&&b>=1)break}return m[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*m);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*m);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=I(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),f=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(f+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?f*=2:-1!==a.title.position.indexOf(\"right\")&&(f+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=f/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function I(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function O(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&\"middle center\"!==a.title.position&&(l-=P(i,e));var c=s/2,u=l/2;\"funnelarea\"!==a.type||a.scalegroup||(u/=a.aspectratio),i.r=Math.min(c,u)/(1+I(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf(\"bottom\")&&(i.cy-=P(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var l;if(\"pie\"===i.type)l=r.r*r.r;else if(\"funnelarea\"===i.type){var c,u;i.aspectratio>1?(c=r.r,u=c/i.aspectratio):(u=r.r,c=u*i.aspectratio),c*=(1+i.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var f=o*r.vTotal;\"funnelarea\"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function z(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function D(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&\"none\"!==o){var s,c=o.split(\"+\"),u=function(t){return-1!==c.indexOf(t)},f=u(\"label\"),h=u(\"text\"),p=u(\"value\"),d=u(\"percent\"),m=n.separators;if(s=f?[e.label]:[],h){var v=g.getFirstFilled(i.text,e.pts);y(v)&&s.push(v)}p&&s.push(g.formatPieValue(e.v,m)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,m)),e.text=s.join(\"<br>\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=g.getFirstFilled(i.text,e.pts);(y(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._context.staticPlot,a=t._fullLayout,h=a._size;d(\"pie\",a),_(e,t),O(e,h);var m=l.makeTraceGroups(a._pielayer,e,\"trace\").each((function(e){var d=n.select(this),m=e[0],v=m.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,c=\"px0\",u=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,c=\"px1\",u=\"px0\"}for(n=z(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=z(a,s),r.midangle=s,s+=l*r.v/2,n=z(a,s),r.stopangle=s,r[u]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),d.attr(\"stroke-linejoin\",\"round\"),d.each((function(){var y=n.select(this).selectAll(\"g.slice\").data(e);y.enter().append(\"g\").classed(\"slice\",!0),y.exit().remove();var _=[[[],[]],[[],[]]],T=!1;y.each((function(i,o){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=v.index,_[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var c=m.cx,u=m.cy,h=n.select(this),d=h.selectAll(\"path.surface\").data([i]);if(d.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":r?\"none\":\"all\"}),h.call(x,t,e),v.pull){var y=+g.castOption(v.pull,i.pts)||0;y>0&&(c+=y*i.pxmid[0],u+=y*i.pxmid[1])}i.cxFinal=c,i.cyFinal=u;var k=v.hole;if(i.v===m.vTotal){var A=\"M\"+(c+i.px0[0])+\",\"+(u+i.px0[1])+P(i.px0,i.pxmid,!0,1)+P(i.pxmid,i.px0,!0,1)+\"Z\";k?d.attr(\"d\",\"M\"+(c+k*i.px0[0])+\",\"+(u+k*i.px0[1])+P(i.px0,i.pxmid,!1,k)+P(i.pxmid,i.px0,!1,k)+\"Z\"+A):d.attr(\"d\",A)}else{var M=P(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr(\"d\",\"M\"+(c+k*i.px1[0])+\",\"+(u+k*i.px1[1])+P(i.px1,i.px0,!1,k)+\"l\"+S*i.px0[0]+\",\"+S*i.px0[1]+M+\"Z\")}else d.attr(\"d\",\"M\"+c+\",\"+u+\"l\"+i.px0[0]+\",\"+i.px0[1]+M+\"Z\")}D(t,i,m);var E=g.castOption(v.textposition,i.pts),C=h.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==E?[0]:[]);C.enter().append(\"g\").classed(\"slicetext\",!0),C.exit().remove(),C.each((function(){var r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===E?function(t,e,r){var n=g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,i=g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:i,size:a}}(v,i,a.font):b(v,i,a.font));r.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var d,y=s.bBox(r.node());if(\"outside\"===E)d=L(y,i);else if(d=w(y,i,m),\"auto\"===E&&d.scale<1){var x=l.ensureUniformFontSize(t,v.outsidetextfont);r.call(s.font,x),d=L(y=s.bBox(r.node()),i)}var _=d.textPosAngle,k=void 0===_?i.pxmid:z(m.r,_);if(d.targetX=c+k[0]*d.rCenter+(d.x||0),d.targetY=u+k[1]*d.rCenter+(d.y||0),R(d,y),d.outside){var A=d.targetY;i.yLabelMin=A-y.height/2,i.yLabelMid=A,i.yLabelMax=A+y.height/2,i.labelExtraX=0,i.labelExtraY=0,T=!0}d.fontSize=h.size,p(v.type,d,a),e[o].transform=d,l.setTransormAndDisplay(r,d)}))}function P(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*m.r+\",\"+n*m.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var k=n.select(this).selectAll(\"g.titletext\").data(v.title.text?[0]:[]);if(k.enter().append(\"g\").classed(\"titletext\",!0),k.exit().remove(),k.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=v.title.text;v._meta&&(i=l.templateString(i,v._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,v.title.font).call(f.convertToTspans,t),e=\"middle center\"===v.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(m):C(m,h),r.attr(\"transform\",u(e.x,e.y)+c(Math.min(1,e.scale))+u(e.tx,e.ty))})),T&&function(t,e){var r,n,i,a,o,s,l,c,u,f,h,p,d;function m(t,e){return t.pxmid[1]-e.pxmid[1]}function v(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var i,c,u,h,p=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),d=n?t.yLabelMin:t.yLabelMax,m=n?t.yLabelMax:t.yLabelMin,v=t.cyFinal+o(t.px0[1],t.px1[1]),y=p-d;if(y*l>0&&(t.labelExtraY=y),Array.isArray(e.pull))for(c=0;c<f.length;c++)(u=f[c])===t||(g.castOption(e.pull,t.pts)||0)>=(g.castOption(e.pull,u.pts)||0)||((t.pxmid[1]-u.pxmid[1])*l>0?(y=u.cyFinal+o(u.px0[1],u.px1[1])-d-t.labelExtraY)*l>0&&(t.labelExtraY+=y):(m+t.labelExtraY-v)*l>0&&(i=3*s*Math.abs(c-f.indexOf(t)),(h=u.cxFinal+a(u.px0[0],u.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=h)))}for(n=0;n<2;n++)for(i=n?m:v,o=n?Math.max:Math.min,l=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(i),u=t[1-n][r],f=u.concat(c),p=[],h=0;h<c.length;h++)void 0!==c[h].yLabelMid&&p.push(c[h]);for(d=!1,h=0;n&&h<u.length;h++)if(void 0!==u[h].yLabelMid){d=u[h];break}for(h=0;h<p.length;h++){var x=h&&p[h-1];d&&!h&&(x=d),y(p[h],x)}}}(_,v),function(t,e){t.each((function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var i=r.select(\"g.slicetext text\");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,l.setTransormAndDisplay(i,t.transform);var a=t.cxFinal+t.pxmid[0],s=\"M\"+a+\",\"+(t.cyFinal+t.pxmid[1]),c=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var u=t.labelExtraX*t.pxmid[1]/t.pxmid[0],f=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(u)>Math.abs(f)?s+=\"l\"+f*t.pxmid[0]/t.pxmid[1]+\",\"+f+\"H\"+(a+t.labelExtraX+c):s+=\"l\"+t.labelExtraX+\",\"+u+\"v\"+(f-u)+\"h\"+c}else s+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+c;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:s,fill:\"none\"})}else r.select(\"path.textline\").remove()}))}(y,v),T&&v.automargin){var A=s.bBox(d.node()),M=v.domain,S=h.w*(M.x[1]-M.x[0]),E=h.h*(M.y[1]-M.y[0]),P=(.5*S-m.r)/h.w,I=(.5*E-m.r)/h.h;i.autoMargin(t,\"pie.\"+v.uid+\".automargin\",{xl:M.x[0]-P,xr:M.x[1]+P,yb:M.y[0]-I,yt:M.y[1]+I,l:Math.max(m.cx-m.r-A.left,0),r:Math.max(A.right-(m.cx+m.r),0),b:Math.max(A.bottom-(m.cy+m.r),0),t:Math.max(m.cy-m.r-A.top,0),pad:5})}}))}));setTimeout((function(){m.selectAll(\"tspan\").each((function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))}))}),0)},formatSliceLabel:D,transformInsideText:w,determineInsideTextFont:b,positionTitleOutside:C,prerenderTitles:_,layoutAreas:O,attachFxHandlers:x,computeTransform:R}},{\"../../components/color\":367,\"../../components/drawing\":389,\"../../components/fx\":407,\"../../lib\":515,\"../../lib/svg_text_utils\":541,\"../../plots/plots\":628,\"../bar/constants\":659,\"../bar/uniform_text\":673,\"./event_data\":914,\"./helpers\":915,\"@plotly/d3\":58}],920:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"./style_one\"),a=t(\"../bar/uniform_text\").resizeText;e.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");a(t,e,\"pie\"),e.each((function(t){var e=t[0].trace,r=n.select(this);r.style({opacity:e.opacity}),r.selectAll(\"path.surface\").each((function(t){n.select(this).call(i,t,e)}))}))}},{\"../bar/uniform_text\":673,\"./style_one\":921,\"@plotly/d3\":58}],921:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"./helpers\").castOption;e.exports=function(t,e,r){var a=r.marker.line,o=i(a.color,e.pts)||n.defaultLine,s=i(a.width,e.pts)||0;t.style(\"stroke-width\",s).call(n.fill,e.color).call(n.stroke,o)}},{\"../../components/color\":367,\"./helpers\":915}],922:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\");e.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},transforms:void 0}},{\"../scatter/attributes\":936}],923:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_pointcloud2d,i=t(\"../../lib/str2rgbarray\"),a=t(\"../../plots/cartesian/autorange\").findExtremes,o=t(\"../scatter/get_trace_color\");function s(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var l=s.prototype;l.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},l.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=o(t,{})},l.updateFast=function(t){var e,r,n,o,s,l,c=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,f=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(f){if(n=f,e=f.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;l<e;l++)o=n[2*l],s=n[2*l+1],o<d[0]&&(d[0]=o),o>d[2]&&(d[2]=o),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;l<e;l++)r[l]=l}else for(e=c.length,n=new Float32Array(2*e),r=new 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n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=i.numberFormat,o=t(\"./render\"),s=t(\"../../components/fx\"),l=t(\"../../components/color\"),c=t(\"./constants\").cn,u=i._;function f(t){return\"\"!==t}function h(t,e){return t.filter((function(t){return t.key===e.traceId}))}function p(t,e){n.select(t).select(\"path\").style(\"fill-opacity\",e),n.select(t).select(\"rect\").style(\"fill-opacity\",e)}function d(t){n.select(t).select(\"text.name\").style(\"fill\",\"black\")}function m(t){return function(e){return-1!==t.node.sourceLinks.indexOf(e.link)||-1!==t.node.targetLinks.indexOf(e.link)}}function g(t){return function(e){return-1!==e.node.sourceLinks.indexOf(t.link)||-1!==e.node.targetLinks.indexOf(t.link)}}function v(t,e,r){e&&r&&h(r,e).selectAll(\".\"+c.sankeyLink).filter(m(e)).call(x.bind(0,e,r,!1))}function y(t,e,r){e&&r&&h(r,e).selectAll(\".\"+c.sankeyLink).filter(m(e)).call(b.bind(0,e,r,!1))}function x(t,e,r,n){var 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x=t._fullLayout._invScaleX,b=t._fullLayout._invScaleY,w=s.loneHover({x0:x*m,x1:x*g,y:b*v,name:a(i.valueFormat)(i.node.value)+i.valueSuffix,text:[i.node.label,A+i.node.targetLinks.length,M+i.node.sourceLinks.length].filter(f).join(\"<br>\"),color:_(o,\"bgcolor\")||i.tinyColorHue,borderColor:_(o,\"bordercolor\"),fontFamily:_(o,\"font.family\"),fontSize:_(o,\"font.size\"),fontColor:_(o,\"font.color\"),nameLength:_(o,\"namelength\"),textAlign:_(o,\"align\"),idealAlign:\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:y,eventData:[i.node]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});p(w,.85),d(w)}}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(y,i,a),\"skip\"!==i.node.trace.node.hoverinfo&&(i.node.fullData=i.node.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[i.node]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r,i){var a=r.node;a.originalEvent=n.event,t._hoverdata=[a],n.select(e).call(y,r,i),s.click(t,{target:!0})}}})}},{\"../../components/color\":367,\"../../components/fx\":407,\"../../lib\":515,\"./constants\":929,\"./render\":933,\"@plotly/d3\":58}],933:[function(t,e,r){\"use strict\";var n=t(\"d3-force\"),i=t(\"d3-interpolate\").interpolateNumber,a=t(\"@plotly/d3\"),o=t(\"@plotly/d3-sankey\"),s=t(\"@plotly/d3-sankey-circular\"),l=t(\"./constants\"),c=t(\"tinycolor2\"),u=t(\"../../components/color\"),f=t(\"../../components/drawing\"),h=t(\"../../lib\"),p=h.strTranslate,d=h.strRotate,m=t(\"../../lib/gup\"),g=m.keyFun,v=m.repeat,y=m.unwrap,x=t(\"../../lib/svg_text_utils\"),b=t(\"../../registry\"),_=t(\"../../constants/alignment\"),w=_.CAP_SHIFT,T=_.LINE_SPACING;function k(t,e,r){var n,i=y(e),a=i.trace,u=a.domain,f=\"h\"===a.orientation,p=a.node.pad,d=a.node.thickness,m=t.width*(u.x[1]-u.x[0]),g=t.height*(u.y[1]-u.y[0]),v=i._nodes,x=i._links,b=i.circular;(n=b?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[m,g]:[g,m]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodes(v).links(x);var _,w,T,k=n();for(var A in n.nodePadding()<p&&h.warn(\"node.pad was reduced to \",n.nodePadding(),\" to fit within the figure.\"),i._groupLookup){var M,S=parseInt(i._groupLookup[A]);for(_=0;_<k.nodes.length;_++)if(k.nodes[_].pointNumber===S){M=k.nodes[_];break}if(M){var E={pointNumber:parseInt(A),x0:M.x0,x1:M.x1,y0:M.y0,y1:M.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};k.nodes.unshift(E),M.childrenNodes.unshift(E)}}if(function(){for(_=0;_<k.nodes.length;_++){var t,e,r=k.nodes[_],n={};for(w=0;w<r.targetLinks.length;w++)t=(e=r.targetLinks[w]).source.pointNumber+\":\"+e.target.pointNumber,n.hasOwnProperty(t)||(n[t]=[]),n[t].push(e);var i=Object.keys(n);for(w=0;w<i.length;w++){var a=n[t=i[w]],o=0,s={};for(T=0;T<a.length;T++)s[(e=a[T]).label]||(s[e.label]=0),s[e.label]+=e.value,o+=e.value;for(T=0;T<a.length;T++)(e=a[T]).flow={value:o,labelConcentration:s[e.label]/o,concentration:e.value/o,links:a},e.concentrationscale&&(e.color=c(e.concentrationscale(e.flow.labelConcentration)))}var l=0;for(w=0;w<r.sourceLinks.length;w++)l+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/l;var u=0;for(w=0;w<r.targetLinks.length;w++)u+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/u}}(),a.node.x.length&&a.node.y.length){for(_=0;_<Math.min(a.node.x.length,a.node.y.length,k.nodes.length);_++)if(a.node.x[_]&&a.node.y[_]){var L=[a.node.x[_]*m,a.node.y[_]*g];k.nodes[_].x0=L[0]-d/2,k.nodes[_].x1=L[0]+d/2;var C=k.nodes[_].y1-k.nodes[_].y0;k.nodes[_].y0=L[1]-C/2,k.nodes[_].y1=L[1]+C/2}if(\"snap\"===a.arrangement)!function(t){t.forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return t.y0-e.y0})),n=0;n<a;++n)(e=t[n]).y0>=i||(r=i-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),i=e.y1+p}))}(function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return 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e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:u.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,linkArrowLength:t.linkArrowLength,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){var e=t.linkArrowLength;if(t.link.circular)return function(t,e){var r=t.width/2,n=t.circularPathData;return\"top\"===t.circularLinkType?\"M \"+(n.targetX-e)+\" \"+(n.targetY+r)+\" L\"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r-e)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r-e)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 \"+(n.rightFullExtent+r-e)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r-e)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 0 \"+(n.rightInnerExtent-e)+\" \"+(n.targetY-r)+\"L\"+(n.targetX-e)+\" \"+(n.targetY-r)+(e>0?\"L\"+n.targetX+\" \"+n.targetY:\"\")+\"Z\":\"M \"+(n.targetX-e)+\" \"+(n.targetY-r)+\" L\"+(n.rightInnerExtent-e)+\" \"+(n.targetY-r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 0 \"+(n.rightFullExtent-r-e)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r-e)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 0 \"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent+r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 0 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r-e)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r-e)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"L\"+(n.targetX-e)+\" \"+(n.targetY+r)+(e>0?\"L\"+n.targetX+\" \"+n.targetY:\"\")+\"Z\"}(t.link,e);var r=Math.abs((t.link.target.x0-t.link.source.x1)/2);e>r&&(e=r);var n=t.link.source.x1,a=t.link.target.x0-e,o=i(n,a),s=o(.5),l=o(.5),c=t.link.y0-t.link.width/2,u=t.link.y0+t.link.width/2,f=t.link.y1-t.link.width/2,h=t.link.y1+t.link.width/2,p=\"M\"+n+\",\"+c,d=\"C\"+s+\",\"+c+\" \"+l+\",\"+f+\" \"+a+\",\"+f,m=\"C\"+l+\",\"+h+\" \"+s+\",\"+u+\" \"+n+\",\"+u,g=e>0?\"L\"+(a+e)+\",\"+(f+t.link.width/2):\"\";return p+d+(g+=\"L\"+a+\",\"+h)+m+\"Z\"}}function S(t,e){var r=c(e.color),n=l.nodePadAcross,i=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var a=e.dx,o=Math.max(.5,e.dy),s=\"node_\"+e.pointNumber;return e.group&&(s=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:s,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:u.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,s].join(\"_\"),interactionState:t.interactionState,figure:t}}function E(t){t.attr(\"transform\",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function L(t){t.call(E)}function C(t,e){t.call(L),e.attr(\"d\",M())}function P(t){t.attr(\"width\",(function(t){return t.node.x1-t.node.x0})).attr(\"height\",(function(t){return t.visibleHeight}))}function I(t){return t.link.width>1||t.linkLineWidth>0}function O(t){return p(t.translateX,t.translateY)+(t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\")}function z(t,e,r){t.on(\".basic\",null).on(\"mouseover.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.hover(this,t,e),t.interactionState.hovered=[this,t])})).on(\"mousemove.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.follow(this,t),t.interactionState.hovered=[this,t])})).on(\"mouseout.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.unhover(this,t,e),t.interactionState.hovered=!1)})).on(\"click.basic\",(function(t){t.interactionState.hovered&&(r.unhover(this,t,e),t.interactionState.hovered=!1),t.interactionState.dragInProgress||t.partOfGroup||r.select(this,t,e)}))}function D(t,e,r,i){var o=a.behavior.drag().origin((function(t){return{x:t.node.x0+t.visibleWidth/2,y:t.node.y0+t.visibleHeight/2}})).on(\"dragstart\",(function(a){if(\"fixed\"!==a.arrangement&&(h.ensureSingle(i._fullLayout._infolayer,\"g\",\"dragcover\",(function(t){i._fullLayout._dragCover=t})),h.raiseToTop(this),a.interactionState.dragInProgress=a.node,F(a.node),a.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,a.interactionState.hovered),a.interactionState.hovered=!1),\"snap\"===a.arrangement)){var o=a.traceId+\"|\"+a.key;a.forceLayouts[o]?a.forceLayouts[o].alpha(1):function(t,e,r,i){!function(t){for(var e=0;e<t.length;e++)t[e].y=(t[e].y0+t[e].y1)/2,t[e].x=(t[e].x0+t[e].x1)/2}(r.graph.nodes);var a=r.graph.nodes.filter((function(t){return t.originalX===r.node.originalX})).filter((function(t){return!t.partOfGroup}));r.forceLayouts[e]=n.forceSimulation(a).alphaDecay(0).force(\"collide\",n.forceCollide().radius((function(t){return t.dy/2+r.nodePad/2})).strength(1).iterations(l.forceIterations)).force(\"constrain\",function(t,e,r,n){return function(){for(var t=0,i=0;i<r.length;i++){var a=r[i];a===n.interactionState.dragInProgress?(a.x=a.lastDraggedX,a.y=a.lastDraggedY):(a.vx=(a.originalX-a.x)/l.forceTicksPerFrame,a.y=Math.min(n.size-a.dy/2,Math.max(a.dy/2,a.y))),t=Math.max(t,Math.abs(a.vx),Math.abs(a.vy))}!n.interactionState.dragInProgress&&t<.1&&n.forceLayouts[e].alpha()>0&&n.forceLayouts[e].alpha(0)}}(0,e,a,r)).stop()}(0,o,a),function(t,e,r,n,i){window.requestAnimationFrame((function a(){var o;for(o=0;o<l.forceTicksPerFrame;o++)r.forceLayouts[n].tick();if(function(t){for(var e=0;e<t.length;e++)t[e].y0=t[e].y-t[e].dy/2,t[e].y1=t[e].y0+t[e].dy,t[e].x0=t[e].x-t[e].dx/2,t[e].x1=t[e].x0+t[e].dx}(r.graph.nodes),r.sankey.update(r.graph),C(t.filter(B(r)),e),r.forceLayouts[n].alpha()>0)window.requestAnimationFrame(a);else{var s=r.node.originalX;r.node.x0=s-r.visibleWidth/2,r.node.x1=s+r.visibleWidth/2,R(r,i)}}))}(t,e,a,o,i)}})).on(\"drag\",(function(r){if(\"fixed\"!==r.arrangement){var n=a.event.x,i=a.event.y;\"snap\"===r.arrangement?(r.node.x0=n-r.visibleWidth/2,r.node.x1=n+r.visibleWidth/2,r.node.y0=i-r.visibleHeight/2,r.node.y1=i+r.visibleHeight/2):(\"freeform\"===r.arrangement&&(r.node.x0=n-r.visibleWidth/2,r.node.x1=n+r.visibleWidth/2),i=Math.max(0,Math.min(r.size-r.visibleHeight/2,i)),r.node.y0=i-r.visibleHeight/2,r.node.y1=i+r.visibleHeight/2),F(r.node),\"snap\"!==r.arrangement&&(r.sankey.update(r.graph),C(t.filter(B(r)),e))}})).on(\"dragend\",(function(t){if(\"fixed\"!==t.arrangement){t.interactionState.dragInProgress=!1;for(var e=0;e<t.node.childrenNodes.length;e++)t.node.childrenNodes[e].x=t.node.x,t.node.childrenNodes[e].y=t.node.y;\"snap\"!==t.arrangement&&R(t,i)}}));t.on(\".drag\",null).call(o)}function R(t,e){for(var r=[],n=[],i=0;i<t.graph.nodes.length;i++){var a=(t.graph.nodes[i].x0+t.graph.nodes[i].x1)/2,o=(t.graph.nodes[i].y0+t.graph.nodes[i].y1)/2;r.push(a/t.figure.width),n.push(o/t.figure.height)}b.call(\"_guiRestyle\",e,{\"node.x\":[r],\"node.y\":[n]},t.trace.index).then((function(){e._fullLayout._dragCover&&e._fullLayout._dragCover.remove()}))}function F(t){t.lastDraggedX=t.x0+t.dx/2,t.lastDraggedY=t.y0+t.dy/2}function B(t){return function(e){return e.node.originalX===t.node.originalX}}e.exports=function(t,e,r,n,i){var o=t._context.staticPlot,s=!1;h.ensureSingle(t._fullLayout._infolayer,\"g\",\"first-render\",(function(){s=!0}));var m=t._fullLayout._dragCover,b=r.filter((function(t){return 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n=t(\"../scatter/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/template_attributes\").texttemplateAttrs,s=t(\"../../components/colorscale/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=n.marker,u=n.line,f=c.line;e.exports={carpet:{valType:\"string\",editType:\"calc\"},a:{valType:\"data_array\",editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},mode:l({},n.mode,{dflt:\"markers\"}),text:l({},n.text,{}),texttemplate:o({editType:\"plot\"},{keys:[\"a\",\"b\",\"text\"]}),hovertext:l({},n.hovertext,{}),line:{color:u.color,width:u.width,dash:u.dash,backoff:u.backoff,shape:l({},u.shape,{values:[\"linear\",\"spline\"]}),smoothing:u.smoothing,editType:\"calc\"},connectgaps:n.connectgaps,fill:l({},n.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:n.fillcolor,marker:l({symbol:c.symbol,opacity:c.opacity,maxdisplayed:c.maxdisplayed,angle:c.angle,angleref:c.angleref,standoff:c.standoff,size:c.size,sizeref:c.sizeref,sizemin:c.sizemin,sizemode:c.sizemode,line:l({width:f.width,editType:\"calc\"},s(\"marker.line\")),gradient:c.gradient,editType:\"calc\"},s(\"marker\")),textfont:n.textfont,textposition:n.textposition,selected:n.selected,unselected:n.unselected,hoverinfo:l({},i.hoverinfo,{flags:[\"a\",\"b\",\"text\",\"name\"]}),hoveron:n.hoveron,hovertemplate:a()}},{\"../../components/colorscale/attributes\":374,\"../../lib/extend\":505,\"../../plots/attributes\":562,\"../../plots/template_attributes\":642,\"../scatter/attributes\":936}],971:[function(t,e,r){\"use 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n=t(\"../../lib\"),i=t(\"../scatter/constants\"),a=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/line_shape_defaults\"),c=t(\"../scatter/text_defaults\"),u=t(\"../scatter/fillcolor_defaults\"),f=t(\"./attributes\");e.exports=function(t,e,r,h){function p(r,i){return n.coerce(t,e,f,r,i)}p(\"carpet\"),e.xaxis=\"x\",e.yaxis=\"y\";var d=p(\"a\"),m=p(\"b\"),g=Math.min(d.length,m.length);if(g){e._length=g,p(\"text\"),p(\"texttemplate\"),p(\"hovertext\"),p(\"mode\",g<i.PTS_LINESONLY?\"lines+markers\":\"lines\"),a.hasLines(e)&&(s(t,e,r,h,p,{backoff:!0}),l(t,e,p),p(\"connectgaps\")),a.hasMarkers(e)&&o(t,e,r,h,p,{gradient:!0}),a.hasText(e)&&c(t,e,h,p);var v=[];(a.hasMarkers(e)||a.hasText(e))&&(p(\"marker.maxdisplayed\"),v.push(\"points\")),p(\"fill\"),\"none\"!==e.fill&&(u(t,e,r,p),a.hasLines(e)||l(t,e,p)),\"tonext\"!==e.fill&&\"toself\"!==e.fill||v.push(\"fills\"),\"fills\"!==p(\"hoveron\",v.join(\"+\")||\"points\")&&p(\"hovertemplate\"),n.coerceSelectionMarkerOpacity(e,p)}else e.visible=!1}},{\"../../lib\":515,\"../scatter/constants\":940,\"../scatter/fillcolor_defaults\":944,\"../scatter/line_defaults\":949,\"../scatter/line_shape_defaults\":951,\"../scatter/marker_defaults\":955,\"../scatter/subtypes\":961,\"../scatter/text_defaults\":962,\"./attributes\":970}],973:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,i){var a=n[i];return t.a=a.a,t.b=a.b,t.y=a.y,t}},{}],974:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r={},n=e._carpet,i=n.ab2ij([t.a,t.b]),a=Math.floor(i[0]),o=i[0]-a,s=Math.floor(i[1]),l=i[1]-s,c=n.evalxy([],a,s,o,l);return r.yLabel=c[1].toFixed(3),r}},{}],975:[function(t,e,r){\"use strict\";var n=t(\"../scatter/hover\"),i=t(\"../../lib\").fillText;e.exports=function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index){var l=1-s.y0/t.ya._length,c=t.xa._length,u=c*l/2,f=c-u;return s.x0=Math.max(Math.min(s.x0,f),u),s.x1=Math.max(Math.min(s.x1,f),u),o}var h=s.cd[s.index];s.a=h.a,s.b=h.b,s.xLabelVal=void 0,s.yLabelVal=void 0;var p=s.trace,d=p._carpet,m=p._module.formatLabels(h,p);s.yLabel=m.yLabel,delete s.text;var g=[];if(!p.hovertemplate){var v=(h.hi||p.hoverinfo).split(\"+\");-1!==v.indexOf(\"all\")&&(v=[\"a\",\"b\",\"text\"]),-1!==v.indexOf(\"a\")&&y(d.aaxis,h.a),-1!==v.indexOf(\"b\")&&y(d.baxis,h.b),g.push(\"y: \"+s.yLabel),-1!==v.indexOf(\"text\")&&i(h,p,g),s.extraText=g.join(\"<br>\")}return o}function y(t,e){var r;r=t.labelprefix&&t.labelprefix.length>0?t.labelprefix.replace(/ = $/,\"\"):t._hovertitle,g.push(r+\": \"+e.toFixed(3)+t.labelsuffix)}}},{\"../../lib\":515,\"../scatter/hover\":947}],976:[function(t,e,r){\"use 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s,l,c,u=r[0][0].carpet,f=i.getFromId(t,u.xaxis||\"x\"),h=i.getFromId(t,u.yaxis||\"y\"),p={xaxis:f,yaxis:h,plot:e.plot};for(s=0;s<r.length;s++)(l=r[s][0].trace)._xA=f,l._yA=h;for(n(t,p,r,o),s=0;s<r.length;s++)l=r[s][0].trace,c=o.selectAll(\"g.trace\"+l.uid+\" .js-line\"),a.setClipUrl(c,r[s][0].carpet._clipPathId,t)}},{\"../../components/drawing\":389,\"../../plots/cartesian/axes\":566,\"../scatter/plot\":957}],978:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,a=t(\"../scatter/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../components/colorscale/attributes\"),l=t(\"../../components/drawing/attributes\").dash,c=t(\"../../lib/extend\").extendFlat,u=t(\"../../plot_api/edit_types\").overrideAll,f=a.marker,h=a.line,p=f.line;e.exports=u({lon:{valType:\"data_array\"},lat:{valType:\"data_array\"},locations:{valType:\"data_array\"},locationmode:{valType:\"enumerated\",values:[\"ISO-3\",\"USA-states\",\"country 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M=p.font[r]={};M.size=(s.isTypedArray(f)?f[r]:Array.isArray(f)?n(f[r])?f[r]:0:f)*d,M.family=Array.isArray(h)?h[r]:h}else p.font={size:f*d,family:h};return p}function x(t,e){var r,n,i=e._length,o=e.marker,l={},c=s.isArrayOrTypedArray(o.symbol),f=s.isArrayOrTypedArray(o.angle),d=s.isArrayOrTypedArray(o.color),m=s.isArrayOrTypedArray(o.line.color),g=s.isArrayOrTypedArray(o.opacity),v=s.isArrayOrTypedArray(o.size),y=s.isArrayOrTypedArray(o.line.width);if(c||(n=p.isOpenSymbol(o.symbol)),c||d||m||g||f){l.symbols=new Array(i),l.angles=new Array(i),l.colors=new Array(i),l.borderColors=new Array(i);var x=o.symbol,b=o.angle,_=u(o,o.opacity,i),w=u(o.line,o.opacity,i);if(!Array.isArray(w[0])){var T=w;for(w=Array(i),r=0;r<i;r++)w[r]=T}if(!Array.isArray(_[0])){var k=_;for(_=Array(i),r=0;r<i;r++)_[r]=k}if(!Array.isArray(x)){var A=x;for(x=Array(i),r=0;r<i;r++)x[r]=A}if(!Array.isArray(b)){var M=b;for(b=Array(i),r=0;r<i;r++)b[r]=M}for(l.symbols=x,l.angles=b,l.colors=_,l.borderColors=w,r=0;r<i;r++)c&&(n=p.isOpenSymbol(o.symbol[r])),n&&(w[r]=_[r].slice(),_[r]=_[r].slice(),_[r][3]=0);for(l.opacity=e.opacity,l.markers=new Array(i),r=0;r<i;r++)l.markers[r]=E({mx:l.symbols[r],ma:l.angles[r]},e)}else n?(l.color=a(o.color,\"uint8\"),l.color[3]=0,l.borderColor=a(o.color,\"uint8\")):(l.color=a(o.color,\"uint8\"),l.borderColor=a(o.line.color,\"uint8\")),l.opacity=e.opacity*o.opacity,l.marker=E({mx:o.symbol,ma:o.angle},e);var S,L=h(e,1);if(v||y){var C,P=l.sizes=new Array(i),I=l.borderSizes=new Array(i),O=0;if(v){for(r=0;r<i;r++)P[r]=L(o.size[r]),O+=P[r];C=O/i}else for(S=L(o.size),r=0;r<i;r++)P[r]=S;if(y)for(r=0;r<i;r++)I[r]=o.line.width[r];else for(S=o.line.width,r=0;r<i;r++)I[r]=S;l.sizeAvg=C}else l.size=L(o&&o.size||10),l.borderSizes=L(o.line.width);return l}function b(t,e,r){var n=e.marker,i={};return r?(r.marker&&r.marker.symbol?i=x(0,s.extendFlat({},n,r.marker)):r.marker&&(r.marker.size&&(i.size=r.marker.size),r.marker.color&&(i.colors=r.marker.color),void 0!==r.marker.opacity&&(i.opacity=r.marker.opacity)),i):i}function _(t,e,r){var n={};if(!r)return n;if(r.textfont){var i={opacity:1,text:e.text,texttemplate:e.texttemplate,textposition:e.textposition,textfont:s.extendFlat({},e.textfont)};r.textfont&&s.extendFlat(i.textfont,r.textfont),n=y(t,i)}return n}function w(t,e,r){var n={capSize:2*e.width*r,lineWidth:e.thickness*r,color:e.color};return e.copy_ystyle&&(n=t.error_y),n}var T=d.SYMBOL_SDF_SIZE,k=d.SYMBOL_SIZE,A=d.SYMBOL_STROKE,M={},S=l.symbolFuncs[0](.05*k);function E(t,e){var r,n,a=t.mx;if(\"circle\"===a)return null;var o=l.symbolNumber(a),s=l.symbolFuncs[o%100],c=!!l.symbolNoDot[o%100],u=!!l.symbolNoFill[o%100],f=p.isDotSymbol(a);if(t.ma&&(a+=\"_\"+t.ma),M[a])return M[a];var h=l.getMarkerAngle(t,e);return r=f&&!c?s(1.1*k,h)+S:s(k,h),n=i(r,{w:T,h:T,viewBox:[-k,-k,k,k],stroke:u?A:-A}),M[a]=n,n||null}e.exports={style:function(t,e){var r,n={marker:void 0,markerSel:void 0,markerUnsel:void 0,line:void 0,fill:void 0,errorX:void 0,errorY:void 0,text:void 0,textSel:void 0,textUnsel:void 0},i=t._context.plotGlPixelRatio;if(!0!==e.visible)return n;if(f.hasText(e)&&(n.text=y(t,e),n.textSel=_(t,e,e.selected),n.textUnsel=_(t,e,e.unselected)),f.hasMarkers(e)&&(n.marker=x(t,e),n.markerSel=b(t,e,e.selected),n.markerUnsel=b(t,e,e.unselected),!e.unselected&&s.isArrayOrTypedArray(e.marker.opacity))){var a=e.marker.opacity;for(n.markerUnsel.opacity=new Array(a.length),r=0;r<a.length;r++)n.markerUnsel.opacity[r]=m*a[r]}if(f.hasLines(e)){n.line={overlay:!0,thickness:e.line.width*i,color:e.line.color,opacity:e.opacity};var o=(d.DASHES[e.line.dash]||[1]).slice();for(r=0;r<o.length;++r)o[r]*=e.line.width*i;n.line.dashes=o}return e.error_x&&e.error_x.visible&&(n.errorX=w(e,e.error_x,i)),e.error_y&&e.error_y.visible&&(n.errorY=w(e,e.error_y,i)),e.fill&&\"none\"!==e.fill&&(n.fill={closed:!0,fill:e.fillcolor,thickness:0}),n},markerStyle:x,markerSelection:b,linePositions:function(t,e,r){var n,i,a=r.length,o=a/2;if(f.hasLines(e)&&o)if(\"hv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i+2],r[2*i+1]));n.push(r[a-2],r[a-1])}else if(\"hvh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var s=(r[2*i]+r[2*i+2])/2;n.push(r[2*i],r[2*i+1],s,r[2*i+1],s,r[2*i+3])}n.push(r[a-2],r[a-1])}else if(\"vhv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var l=(r[2*i+1]+r[2*i+3])/2;n.push(r[2*i],r[2*i+1],r[2*i],l,r[2*i+2],l)}n.push(r[a-2],r[a-1])}else if(\"vh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+3]));n.push(r[a-2],r[a-1])}else n=r;var c=!1;for(i=0;i<n.length;i++)if(isNaN(n[i])){c=!0;break}var u=c||n.length>d.TOO_MANY_POINTS||f.hasMarkers(e)?\"rect\":\"round\";if(c&&e.connectgaps){var h=n[0],p=n[1];for(i=0;i<n.length;i+=2)isNaN(n[i])||isNaN(n[i+1])?(n[i]=h,n[i+1]=p):(h=n[i],p=n[i+1])}return{join:u,positions:n}},errorBarPositions:function(t,e,r,i,a){var s=o.getComponentMethod(\"errorbars\",\"makeComputeError\"),l=c.getFromId(t,e.xaxis,\"x\"),u=c.getFromId(t,e.yaxis,\"y\"),f=r.length/2,h={};function p(t,i){var a=i._id.charAt(0),o=e[\"error_\"+a];if(o&&o.visible&&(\"linear\"===i.type||\"log\"===i.type)){for(var l=s(o),c={x:0,y:1}[a],u={x:[0,1,2,3],y:[2,3,0,1]}[a],p=new Float64Array(4*f),d=1/0,m=-1/0,g=0,v=0;g<f;g++,v+=4){var y=t[g];if(n(y)){var x=r[2*g+c],b=l(y,g),_=b[0],w=b[1];if(n(_)&&n(w)){var T=y-_,k=y+w;p[v+u[0]]=x-i.c2l(T),p[v+u[1]]=i.c2l(k)-x,p[v+u[2]]=0,p[v+u[3]]=0,d=Math.min(d,y-_),m=Math.max(m,y+w)}}}h[a]={positions:r,errors:p,_bnds:[d,m]}}}return p(i,l),p(a,u),h},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(f.hasMarkers(e)){var s=r.font,l=r.align,c=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var u=n.sizes?n.sizes[i]:n.size,h=Array.isArray(s)?s[i].size:s.size,p=Array.isArray(l)?l.length>1?l[i]:l[0]:l,d=Array.isArray(c)?c.length>1?c[i]:c[0]:c,m=g[p],v=g[d],y=u?u/.8+1:0,x=-v*y-.5*v;o.offset[i]=[m*y/h,x/h]}}return o}}},{\"../../components/drawing\":389,\"../../components/fx/helpers\":403,\"../../constants/interactions\":490,\"../../lib\":515,\"../../lib/gl_format_color\":511,\"../../plots/cartesian/axis_ids\":570,\"../../registry\":647,\"../scatter/make_bubble_size_func\":953,\"../scatter/subtypes\":961,\"./constants\":991,\"./helpers\":996,\"color-normalize\":89,\"fast-isnumeric\":190,\"svg-path-sdf\":311}],993:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../registry\"),a=t(\"./helpers\"),o=t(\"./attributes\"),s=t(\"../scatter/constants\"),l=t(\"../scatter/subtypes\"),c=t(\"../scatter/xy_defaults\"),u=t(\"../scatter/period_defaults\"),f=t(\"../scatter/marker_defaults\"),h=t(\"../scatter/line_defaults\"),p=t(\"../scatter/fillcolor_defaults\"),d=t(\"../scatter/text_defaults\");e.exports=function(t,e,r,m){function g(r,i){return n.coerce(t,e,o,r,i)}var v=!!t.marker&&a.isOpenSymbol(t.marker.symbol),y=l.isBubble(t),x=c(t,e,m,g);if(x){u(t,e,m,g),g(\"xhoverformat\"),g(\"yhoverformat\");var b=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",b),l.hasLines(e)&&(g(\"connectgaps\"),h(t,e,r,m,g),g(\"line.shape\")),l.hasMarkers(e)&&(f(t,e,r,m,g,{noAngleRef:!0,noStandOff:!0}),g(\"marker.line.width\",v||y?1:0)),l.hasText(e)&&(g(\"texttemplate\"),d(t,e,m,g));var _=(e.line||{}).color,w=(e.marker||{}).color;g(\"fill\"),\"none\"!==e.fill&&p(t,e,r,g);var T=i.getComponentMethod(\"errorbars\",\"supplyDefaults\");T(t,e,_||w||r,{axis:\"y\"}),T(t,e,_||w||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},{\"../../lib\":515,\"../../registry\":647,\"../scatter/constants\":940,\"../scatter/fillcolor_defaults\":944,\"../scatter/line_defaults\":949,\"../scatter/marker_defaults\":955,\"../scatter/period_defaults\":956,\"../scatter/subtypes\":961,\"../scatter/text_defaults\":962,\"../scatter/xy_defaults\":963,\"./attributes\":988,\"./helpers\":996}],994:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/color\"),a=t(\"../../constants/interactions\").DESELECTDIM;e.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,c=l._scene,u=l.index,f=c.selectBatch[u],h=c.unselectBatch[u],p=c.textOptions[u],d=c.textSelectedOptions[u]||{},m=c.textUnselectedOptions[u]||{},g=n.extendFlat({},p);if(f.length||h.length){var v=d.color,y=m.color,x=p.color,b=Array.isArray(x);for(g.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],g.color[r]=v||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;g.color[r]=y||(v?_:i.addOpacity(_,a))}}c.glText[u].update(g)}}},{\"../../components/color\":367,\"../../constants/interactions\":490,\"../../lib\":515}],995:[function(t,e,r){\"use strict\";var n=t(\"../scatter/format_labels\");e.exports=function(t,e,r){var i=t.i;return\"x\"in t||(t.x=e._x[i]),\"y\"in t||(t.y=e._y[i]),n(t,e,r)}},{\"../scatter/format_labels\":945}],996:[function(t,e,r){\"use strict\";var n=t(\"./constants\");r.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},r.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},{\"./constants\":991}],997:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"../scatter/get_trace_color\");function o(t,e,r,o){var s=t.xa,l=t.ya,c=t.distance,u=t.dxy,f=t.index,h={pointNumber:f,x:e[f],y:r[f]};h.tx=Array.isArray(o.text)?o.text[f]:o.text,h.htx=Array.isArray(o.hovertext)?o.hovertext[f]:o.hovertext,h.data=Array.isArray(o.customdata)?o.customdata[f]:o.customdata,h.tp=Array.isArray(o.textposition)?o.textposition[f]:o.textposition;var p=o.textfont;p&&(h.ts=i.isArrayOrTypedArray(p.size)?p.size[f]:p.size,h.tc=Array.isArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family);var d=o.marker;d&&(h.ms=i.isArrayOrTypedArray(d.size)?d.size[f]:d.size,h.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[f]:d.opacity,h.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[f]:d.symbol,h.ma=i.isArrayOrTypedArray(d.angle)?d.angle[f]:d.angle,h.mc=i.isArrayOrTypedArray(d.color)?d.color[f]:d.color);var m=d&&d.line;m&&(h.mlc=Array.isArray(m.color)?m.color[f]:m.color,h.mlw=i.isArrayOrTypedArray(m.width)?m.width[f]:m.width);var g=d&&d.gradient;g&&\"none\"!==g.type&&(h.mgt=Array.isArray(g.type)?g.type[f]:g.type,h.mgc=Array.isArray(g.color)?g.color[f]:g.color);var v=s.c2p(h.x,!0),y=l.c2p(h.y,!0),x=h.mrc||1,b=o.hoverlabel;b&&(h.hbg=Array.isArray(b.bgcolor)?b.bgcolor[f]:b.bgcolor,h.hbc=Array.isArray(b.bordercolor)?b.bordercolor[f]:b.bordercolor,h.hts=i.isArrayOrTypedArray(b.font.size)?b.font.size[f]:b.font.size,h.htc=Array.isArray(b.font.color)?b.font.color[f]:b.font.color,h.htf=Array.isArray(b.font.family)?b.font.family[f]:b.font.family,h.hnl=i.isArrayOrTypedArray(b.namelength)?b.namelength[f]:b.namelength);var _=o.hoverinfo;_&&(h.hi=Array.isArray(_)?_[f]:_);var w=o.hovertemplate;w&&(h.ht=Array.isArray(w)?w[f]:w);var T={};T[t.index]=h;var k=o._origX,A=o._origY,M=i.extendFlat({},t,{color:a(o,h),x0:v-x,x1:v+x,xLabelVal:k?k[f]:h.x,y0:y-x,y1:y+x,yLabelVal:A?A[f]:h.y,cd:T,distance:c,spikeDistance:u,hovertemplate:h.ht});return h.htx?M.text=h.htx:h.tx?M.text=h.tx:o.text&&(M.text=o.text),i.fillText(h,o,M),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(h,o,M),M}e.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,c,u,f,h,p,d,m=t.cd,g=m[0].t,v=m[0].trace,y=t.xa,x=t.ya,b=g.x,_=g.y,w=y.c2p(e),T=x.c2p(r),k=t.distance;if(g.tree){var A=y.p2c(w-k),M=y.p2c(w+k),S=x.p2c(T-k),E=x.p2c(T+k);i=\"x\"===n?g.tree.range(Math.min(A,M),Math.min(x._rl[0],x._rl[1]),Math.max(A,M),Math.max(x._rl[0],x._rl[1])):g.tree.range(Math.min(A,M),Math.min(S,E),Math.max(A,M),Math.max(S,E))}else i=g.ids;var L=k;if(\"x\"===n){var C=!!v.xperiodalignment,P=!!v.yperiodalignment;for(u=0;u<i.length;u++){if(l=b[a=i[u]],f=Math.abs(y.c2p(l)-w),C){var I=y.c2p(v._xStarts[a]),O=y.c2p(v._xEnds[a]);f=w>=Math.min(I,O)&&w<=Math.max(I,O)?0:1/0}if(f<L){if(L=f,c=_[a],h=x.c2p(c)-T,P){var z=x.c2p(v._yStarts[a]),D=x.c2p(v._yEnds[a]);h=T>=Math.min(z,D)&&T<=Math.max(z,D)?0:1/0}d=Math.sqrt(f*f+h*h),s=i[u]}}}else for(u=i.length-1;u>-1;u--)l=b[a=i[u]],c=_[a],f=y.c2p(l)-w,h=x.c2p(c)-T,(p=Math.sqrt(f*f+h*h))<L&&(L=d=p,s=a);return t.index=s,t.distance=L,t.dxy=d,void 0===s?[t]:[o(t,b,_,v)]},calcHover:o}},{\"../../lib\":515,\"../../registry\":647,\"../scatter/get_trace_color\":946}],998:[function(t,e,r){arguments[4][905][0].apply(r,arguments)},{\"./base_index\":989,\"./plot\":999,dup:905}],999:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),i=t(\"regl-line2d\"),a=t(\"regl-error2d\"),o=t(\"gl-text\"),s=t(\"../../lib\"),l=t(\"../../components/dragelement/helpers\").selectMode,c=t(\"../../lib/prepare_regl\"),u=t(\"../scatter/subtypes\"),f=t(\"../scatter/link_traces\"),h=t(\"./edit_style\").styleTextSelection,p={};function d(t,e,r,n){var i=t._size,a=t.width*n,o=t.height*n,s=i.l*n,l=i.b*n,c=i.r*n,u=i.t*n,f=i.w*n,h=i.h*n;return[s+e.domain[0]*f,l+r.domain[0]*h,a-c-(1-e.domain[1])*f,o-u-(1-r.domain[1])*h]}(e.exports=function(t,e,r){if(r.length){var 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A=(y.errorXOptions||[]).concat(y.errorYOptions||[]);y.error2d.update(A)}y.scatter2d&&y.scatter2d.update(y.markerOptions),y.fillOrder=s.repeat(null,_),y.fill2d&&(y.fillOptions=y.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var i,a,o=n[0],s=o.trace,l=o.t,c=y.lineOptions[e],u=[];s._ownfill&&u.push(e),s._nexttrace&&u.push(e+1),u.length&&(y.fillOrder[e]=u);var f,h,p=[],d=c&&c.positions||l.positions;if(\"tozeroy\"===s.fill){for(f=0;f<d.length&&isNaN(d[f+1]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h+1]);)h-=2;0!==d[f+1]&&(p=[d[f],0]),p=p.concat(d.slice(f,h+2)),0!==d[h+1]&&(p=p.concat([d[h],0]))}else if(\"tozerox\"===s.fill){for(f=0;f<d.length&&isNaN(d[f]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h]);)h-=2;0!==d[f]&&(p=[0,d[f+1]]),p=p.concat(d.slice(f,h+2)),0!==d[h]&&(p=p.concat([0,d[h+1]]))}else if(\"toself\"===s.fill||\"tonext\"===s.fill){for(p=[],i=0,t.splitNull=!0,a=0;a<d.length;a+=2)(isNaN(d[a])||isNaN(d[a+1]))&&((p=p.concat(d.slice(i,a))).push(d[i],d[i+1]),p.push(null,null),i=a+2);p=p.concat(d.slice(i)),i&&p.push(d[i],d[i+1])}else{var m=s._nexttrace;if(m){var g=y.lineOptions[e+1];if(g){var v=g.positions;if(\"tonexty\"===s.fill){for(p=d.slice(),e=Math.floor(v.length/2);e--;){var x=v[2*e],b=v[2*e+1];isNaN(x)||isNaN(b)||p.push(x,b)}t.fill=m.fillcolor}}}}if(s._prevtrace&&\"tonext\"===s._prevtrace.fill){var _=y.lineOptions[e-1].positions,w=p.length/2,T=[i=w];for(a=0;a<_.length;a+=2)(isNaN(_[a])||isNaN(_[a+1]))&&(T.push(a/2+w+1),i=a+2);p=p.concat(_),t.hole=T}return t.fillmode=s.fill,t.opacity=s.opacity,t.positions=p,t}})),y.fill2d.update(y.fillOptions))}var M=v.dragmode,S=l(M),E=v.clickmode.indexOf(\"select\")>-1;for(m=0;m<_;m++){var L=r[m][0],C=L.trace,P=L.t,I=P.index,O=C._length,z=P.x,D=P.y;if(C.selectedpoints||S||E){if(S||(S=!0),C.selectedpoints){var 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V={viewport:d(v,x,b,t._context.plotGlPixelRatio),range:[(x._rl||x.range)[0],(b._rl||b.range)[0],(x._rl||x.range)[1],(b._rl||b.range)[1]]},H=s.repeat(V,y.count);y.fill2d&&y.fill2d.update(H),y.line2d&&y.line2d.update(H),y.error2d&&y.error2d.update(H.concat(H)),y.scatter2d&&y.scatter2d.update(H),y.select2d&&y.select2d.update(H),y.glText&&y.glText.forEach((function(t){t.update(V)}))}else y.init()}}).reglPrecompiled=p},{\"../../components/dragelement/helpers\":385,\"../../lib\":515,\"../../lib/prepare_regl\":528,\"../scatter/link_traces\":952,\"../scatter/subtypes\":961,\"./edit_style\":994,\"gl-text\":225,\"regl-error2d\":280,\"regl-line2d\":281,\"regl-scatter2d\":282}],1e3:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){var r=e._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,a,i)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var i=0;i<r.count;i++)r.glText[i].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,i=r.error2d,a=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,c=r.selectBatch,u=r.unselectBatch,f=0;f<t;f++){if(e&&r.fillOrder[f]&&e.draw(r.fillOrder[f]),a&&r.lineOptions[f]&&a.draw(f),i&&(r.errorXOptions[f]&&i.draw(f),r.errorYOptions[f]&&i.draw(f+t)),o&&r.markerOptions[f])if(u[f].length){var h=n.repeat([],r.count);h[f]=u[f],o.draw(h)}else 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r=t.cd,a=t.xaxis,o=t.yaxis,s=[],l=r[0].trace,c=r[0].t,u=l._length,f=c.x,h=c.y,p=c._scene,d=c.index;if(!p)return s;var m=n.hasText(l),g=n.hasMarkers(l),v=!g&&!m;if(!0!==l.visible||v)return s;var y=[],x=[];if(!1!==e&&!e.degenerate)for(var b=0;b<u;b++)e.contains([c.xpx[b],c.ypx[b]],!1,b,t)?(y.push(b),s.push({pointNumber:b,x:a.c2d(f[b]),y:o.c2d(h[b])})):x.push(b);if(g){var _=p.scatter2d;if(y.length||x.length){if(!p.selectBatch[d].length&&!p.unselectBatch[d].length){var w=new Array(p.count);w[d]=p.markerUnselectedOptions[d],_.update.apply(_,w)}}else{var T=new Array(p.count);T[d]=p.markerOptions[d],_.update.apply(_,T)}}return p.selectBatch[d]=y,p.unselectBatch[d]=x,m&&i(r),s}},{\"../scatter/subtypes\":961,\"./edit_style\":994}],1002:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,a=t(\"../scattergeo/attributes\"),o=t(\"../scatter/attributes\"),s=t(\"../../plots/mapbox/layout_attributes\"),l=t(\"../../plots/attributes\"),c=t(\"../../components/colorscale/attributes\"),u=t(\"../../lib/extend\").extendFlat,f=t(\"../../plot_api/edit_types\").overrideAll,h=t(\"../../plots/mapbox/layout_attributes\"),p=a.line,d=a.marker;e.exports=f({lon:a.lon,lat:a.lat,cluster:{enabled:{valType:\"boolean\"},maxzoom:u({},h.layers.maxzoom,{}),step:{valType:\"number\",arrayOk:!0,dflt:-1,min:-1},size:{valType:\"number\",arrayOk:!0,dflt:20,min:0},color:{valType:\"color\",arrayOk:!0},opacity:u({},d.opacity,{dflt:1})},mode:u({},o.mode,{dflt:\"markers\"}),text:u({},o.text,{}),texttemplate:i({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:u({},o.hovertext,{}),line:{color:p.color,width:p.width},connectgaps:o.connectgaps,marker:u({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},angle:{valType:\"number\",dflt:\"auto\",arrayOk:!0},allowoverlap:{valType:\"boolean\",dflt:!1},opacity:d.opacity,size:d.size,sizeref:d.sizeref,sizemin:d.sizemin,sizemode:d.sizemode},c(\"marker\")),fill:a.fill,fillcolor:o.fillcolor,textfont:s.layers.symbol.textfont,textposition:s.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:o.selected.marker},unselected:{marker:o.unselected.marker},hoverinfo:u({},l.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\")},{\"../../components/colorscale/attributes\":374,\"../../lib/extend\":505,\"../../plot_api/edit_types\":548,\"../../plots/attributes\":562,\"../../plots/mapbox/layout_attributes\":624,\"../../plots/template_attributes\":642,\"../scatter/attributes\":936,\"../scattergeo/attributes\":978}],1003:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"../../constants/numerical\").BADNUM,o=t(\"../../lib/geojson_utils\"),s=t(\"../../components/colorscale\"),l=t(\"../../components/drawing\"),c=t(\"../scatter/make_bubble_size_func\"),u=t(\"../scatter/subtypes\"),f=t(\"../../plots/mapbox/convert_text_opts\"),h=t(\"../../components/fx/helpers\").appendArrayPointValue,p=t(\"../../lib/svg_text_utils\").NEWLINES,d=t(\"../../lib/svg_text_utils\").BR_TAG_ALL;function m(t){return{type:t,geojson:o.makeBlank(),layout:{visibility:\"none\"},filter:null,paint:{}}}function g(t,e){return i.isArrayOrTypedArray(t)?e?function(e){return n(t[e])?+t[e]:0}:function(e){return t[e]}:t?function(){return t}:v}function v(){return\"\"}function y(t){return t[0]===a}function x(t,e){var r;if(i.isArrayOrTypedArray(t)&&i.isArrayOrTypedArray(e)){r=[\"step\",[\"get\",\"point_count\"],t[0]];for(var n=1;n<t.length;n++)r.push(e[n-1],t[n])}else r=t;return r}e.exports=function(t,e){var r,a=e[0].trace,b=!0===a.visible&&0!==a._length,_=\"none\"!==a.fill,w=u.hasLines(a),T=u.hasMarkers(a),k=u.hasText(a),A=T&&\"circle\"===a.marker.symbol,M=T&&\"circle\"!==a.marker.symbol,S=a.cluster&&a.cluster.enabled,E=m(\"fill\"),L=m(\"line\"),C=m(\"circle\"),P=m(\"symbol\"),I={fill:E,line:L,circle:C,symbol:P};if(!b)return I;if((_||w)&&(r=o.calcTraceToLineCoords(e)),_&&(E.geojson=o.makePolygon(r),E.layout.visibility=\"visible\",i.extendFlat(E.paint,{\"fill-color\":a.fillcolor})),w&&(L.geojson=o.makeLine(r),L.layout.visibility=\"visible\",i.extendFlat(L.paint,{\"line-width\":a.line.width,\"line-color\":a.line.color,\"line-opacity\":a.opacity})),A){var O=function(t){var e,r,a,o,u=t[0].trace,f=u.marker,h=u.selectedpoints,p=i.isArrayOrTypedArray(f.color),d=i.isArrayOrTypedArray(f.size),m=i.isArrayOrTypedArray(f.opacity);function g(t){return u.opacity*t}p&&(r=s.hasColorscale(u,\"marker\")?s.makeColorScaleFuncFromTrace(f):i.identity);d&&(a=c(u));m&&(o=function(t){return g(n(t)?+i.constrain(t,0,1):0)});var v,x=[];for(e=0;e<t.length;e++){var b=t[e],_=b.lonlat;if(!y(_)){var w={};r&&(w.mcc=b.mcc=r(b.mc)),a&&(w.mrc=b.mrc=a(b.ms)),o&&(w.mo=o(b.mo)),h&&(w.selected=b.selected||0),x.push({type:\"Feature\",id:e+1,geometry:{type:\"Point\",coordinates:_},properties:w})}}if(h)for(v=l.makeSelectedPointStyleFns(u),e=0;e<x.length;e++){var T=x[e].properties;v.selectedOpacityFn&&(T.mo=g(v.selectedOpacityFn(T))),v.selectedColorFn&&(T.mcc=v.selectedColorFn(T)),v.selectedSizeFn&&(T.mrc=v.selectedSizeFn(T))}return{geojson:{type:\"FeatureCollection\",features:x},mcc:p||v&&v.selectedColorFn?{type:\"identity\",property:\"mcc\"}:f.color,mrc:d||v&&v.selectedSizeFn?{type:\"identity\",property:\"mrc\"}:(k=f.size,k/2),mo:m||v&&v.selectedOpacityFn?{type:\"identity\",property:\"mo\"}:g(f.opacity)};var k}(e);C.geojson=O.geojson,C.layout.visibility=\"visible\",S&&(C.filter=[\"!\",[\"has\",\"point_count\"]],I.cluster={type:\"circle\",filter:[\"has\",\"point_count\"],layout:{visibility:\"visible\"},paint:{\"circle-color\":x(a.cluster.color,a.cluster.step),\"circle-radius\":x(a.cluster.size,a.cluster.step),\"circle-opacity\":x(a.cluster.opacity,a.cluster.step)}},I.clusterCount={type:\"symbol\",filter:[\"has\",\"point_count\"],paint:{},layout:{\"text-field\":\"{point_count_abbreviated}\",\"text-font\":[\"Open Sans Regular\",\"Arial Unicode MS Regular\"],\"text-size\":12}}),i.extendFlat(C.paint,{\"circle-color\":O.mcc,\"circle-radius\":O.mrc,\"circle-opacity\":O.mo})}if(A&&S&&(C.filter=[\"!\",[\"has\",\"point_count\"]]),(M||k)&&(P.geojson=function(t,e){for(var r=e._fullLayout,n=t[0].trace,a=n.marker||{},o=a.symbol,s=a.angle,l=\"circle\"!==o?g(o):v,c=\"auto\"!==s?g(s,!0):v,f=u.hasText(n)?g(n.text):v,m=[],x=0;x<t.length;x++){var b=t[x];if(!y(b.lonlat)){var _,w=n.texttemplate;if(w){var T=Array.isArray(w)?w[x]||\"\":w,k=n._module.formatLabels(b,n,r),A={};h(A,n,b.i);var M=n._meta||{};_=i.texttemplateString(T,k,r._d3locale,A,b,M)}else _=f(x);_&&(_=_.replace(p,\"\").replace(d,\"\\n\")),m.push({type:\"Feature\",geometry:{type:\"Point\",coordinates:b.lonlat},properties:{symbol:l(x),angle:c(x),text:_}})}}return{type:\"FeatureCollection\",features:m}}(e,t),i.extendFlat(P.layout,{visibility:\"visible\",\"icon-image\":\"{symbol}-15\",\"text-field\":\"{text}\"}),M&&(i.extendFlat(P.layout,{\"icon-size\":a.marker.size/10}),\"angle\"in a.marker&&\"auto\"!==a.marker.angle&&i.extendFlat(P.layout,{\"icon-rotate\":{type:\"identity\",property:\"angle\"},\"icon-rotation-alignment\":\"map\"}),P.layout[\"icon-allow-overlap\"]=a.marker.allowoverlap,i.extendFlat(P.paint,{\"icon-opacity\":a.opacity*a.marker.opacity,\"icon-color\":a.marker.color})),k)){var z=(a.marker||{}).size,D=f(a.textposition,z);i.extendFlat(P.layout,{\"text-size\":a.textfont.size,\"text-anchor\":D.anchor,\"text-offset\":D.offset}),i.extendFlat(P.paint,{\"text-color\":a.textfont.color,\"text-opacity\":a.opacity})}return I}},{\"../../components/colorscale\":379,\"../../components/drawing\":389,\"../../components/fx/helpers\":403,\"../../constants/numerical\":491,\"../../lib\":515,\"../../lib/geojson_utils\":509,\"../../lib/svg_text_utils\":541,\"../../plots/mapbox/convert_text_opts\":621,\"../scatter/make_bubble_size_func\":953,\"../scatter/subtypes\":961,\"fast-isnumeric\":190}],1004:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../scatter/subtypes\"),a=t(\"../scatter/marker_defaults\"),o=t(\"../scatter/line_defaults\"),s=t(\"../scatter/text_defaults\"),l=t(\"../scatter/fillcolor_defaults\"),c=t(\"./attributes\");e.exports=function(t,e,r,u){function f(r,i){return n.coerce(t,e,c,r,i)}function h(r,i){return n.coerce2(t,e,c,r,i)}if(function(t,e,r){var 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A={};u.label&&(A.label=u.label),u.hasOwnProperty(\"v\")&&(A.value=u.v,A.valueLabel=b.formatValue(u.v,l)),A.currentPath=b.getPath(t.data),h||(A.percentParent=d/b.getValue(p),A.percentParentLabel=b.formatPercent(A.percentParent,l),A.parent=b.getPtLabel(p)),A.percentEntry=d/b.getValue(e),A.percentEntryLabel=b.formatPercent(A.percentEntry,l),A.entry=b.getPtLabel(e),A.percentRoot=d/b.getValue(f),A.percentRootLabel=b.formatPercent(A.percentRoot,l),A.root=b.getPtLabel(f),u.hasOwnProperty(\"color\")&&(A.color=u.color);var M=s.castOption(r,u.i,\"text\");return(s.isValidTextValue(M)||\"\"===M)&&(A.text=M),A.customdata=s.castOption(r,u.i,\"customdata\"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},{\"../../components/drawing\":389,\"../../lib\":515,\"../../lib/svg_text_utils\":541,\"../bar/style\":671,\"../bar/uniform_text\":673,\"../pie/helpers\":915,\"../pie/plot\":919,\"./constants\":1061,\"./fx\":1063,\"./helpers\":1064,\"./style\":1069,\"@plotly/d3\":58,\"d3-hierarchy\":115,\"d3-interpolate\":116}],1069:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../components/color\"),a=t(\"../../lib\"),o=t(\"../bar/uniform_text\").resizeText;function s(t,e,r){var n=e.data.data,o=!e.children,s=n.i,l=a.castOption(r,s,\"marker.line.color\")||i.defaultLine,c=a.castOption(r,s,\"marker.line.width\")||0;t.style(\"stroke-width\",c).call(i.fill,n.color).call(i.stroke,l).style(\"opacity\",o?r.leaf.opacity:null)}e.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(\".trace\");o(t,e,\"sunburst\"),e.each((function(t){var e=n.select(this),r=t[0].trace;e.style(\"opacity\",r.opacity),e.selectAll(\"path.surface\").each((function(t){n.select(this).call(s,t,r)}))}))},styleOne:s}},{\"../../components/color\":367,\"../../lib\":515,\"../bar/uniform_text\":673,\"@plotly/d3\":58}],1070:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,o=t(\"../../plots/template_attributes\").hovertemplateAttrs,s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=t(\"../../plot_api/edit_types\").overrideAll;function u(t){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:{valType:\"boolean\",dflt:!1},y:{valType:\"boolean\",dflt:!1},z:{valType:\"boolean\",dflt:!1}},color:{valType:\"color\",dflt:n.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:n.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var f=e.exports=c(l({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:o(),xhoverformat:a(\"x\"),yhoverformat:a(\"y\"),zhoverformat:a(\"z\"),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},i(\"\",{colorAttr:\"z or surfacecolor\",showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:\"calc\"}),{contours:{x:u(),y:u(),z:u()},hidesurface:{valType:\"boolean\",dflt:!1},lightposition:{x:{valType:\"number\",min:-1e5,max:1e5,dflt:10},y:{valType:\"number\",min:-1e5,max:1e5,dflt:1e4},z:{valType:\"number\",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:\"number\",min:0,max:1,dflt:.8},diffuse:{valType:\"number\",min:0,max:1,dflt:.8},specular:{valType:\"number\",min:0,max:2,dflt:.05},roughness:{valType:\"number\",min:0,max:1,dflt:.5},fresnel:{valType:\"number\",min:0,max:5,dflt:.2}},opacity:{valType:\"number\",min:0,max:1,dflt:1},opacityscale:{valType:\"any\",editType:\"calc\"},_deprecated:{zauto:l({},i.zauto,{}),zmin:l({},i.zmin,{}),zmax:l({},i.zmax,{})},hoverinfo:l({},s.hoverinfo),showlegend:l({},s.showlegend,{dflt:!1})}),\"calc\",\"nested\");f.x.editType=f.y.editType=f.z.editType=\"calc+clearAxisTypes\",f.transforms=void 0},{\"../../components/color\":367,\"../../components/colorscale/attributes\":374,\"../../lib/extend\":505,\"../../plot_api/edit_types\":548,\"../../plots/attributes\":562,\"../../plots/cartesian/axis_format_attributes\":569,\"../../plots/template_attributes\":642}],1071:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":375}],1072:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_surface3d,i=t(\"../../../stackgl_modules\").ndarray,a=t(\"../../../stackgl_modules\").ndarray_linear_interpolate.d2,o=t(\"../heatmap/interp2d\"),s=t(\"../heatmap/find_empties\"),l=t(\"../../lib\").isArrayOrTypedArray,c=t(\"../../lib/gl_format_color\").parseColorScale,u=t(\"../../lib/str2rgbarray\"),f=t(\"../../components/colorscale\").extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){var o=t.dataCoordinate[a];null!=o&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var s=this.data.hovertext||this.data.text;return Array.isArray(s)&&s[i]&&void 0!==s[i][n]?t.textLabel=s[i][n]:t.textLabel=s||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var d=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function m(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function g(t){for(var e=[],r=0;r<d.length;r++){var n=d[r];e.push(m(t,n))}return e}function v(t){for(var e=g(t),r=t,n=0;n<d.length;n++)if(e[n]>0){r=d[n];break}return r}function y(t,e){if(!(t<1||e<1)){for(var r=g(t),n=g(e),i=1,a=0;a<d.length;a++)i*=Math.pow(d[a],Math.max(r[a],n[a]));return i}}p.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),i=this.getXat(e,0);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r},p.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),i=this.getYat(0,e);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r};var x=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],b=x[9],_=x[13];function w(t,e,r){var n=r[8]+r[2]*e[0]+r[5]*e[1];return t[0]=(r[6]+r[0]*e[0]+r[3]*e[1])/n,t[1]=(r[7]+r[1]*e[0]+r[4]*e[1])/n,t}function T(t,e,r){return function(t,e,r,n){for(var i=[0,0],o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++)r(i,[l,c],n),t.set(l,c,a(e,i[0],i[1]))}(t,e,w,r),t}function k(t,e){for(var r=!1,n=0;n<t.length;n++)if(e===t[n]){r=!0;break}!1===r&&t.push(e)}p.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r<t.length;r++)e=y(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<b;)r*=2;for(;r>_;)r--,r/=v(r),++r<b&&(r=_);var n=Math.round(r/t);return n>1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],a=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,c=1+a+1,u=i(new Float32Array(l*c),[l,c]),f=[1/e,0,0,0,1/r,0,0,0,1],h=0;h<t.length;++h){this.surface.padField(u,t[h]);var p=i(new Float32Array(o*s),[o,s]);T(p,u,f),t[h]=p}},p.setContourLevels=function(){var t,e,r,n=[[],[],[]],i=[!1,!1,!1],a=!1;for(t=0;t<3;++t)if(this.showContour[t]&&(a=!0,this.contourSize[t]>0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(i[t]=!0,e=this.contourStart[t];e<this.contourEnd[t];e+=this.contourSize[t])r=e*this.scene.dataScale[t],k(n[t],r);if(a){var o=[[],[],[]];for(t=0;t<3;++t)this.showContour[t]&&(o[t]=i[t]?n[t]:this.scene.contourLevels[t]);this.surface.update({levels:o})}},p.update=function(t){var e,r,n,a,l=this.scene,h=l.fullSceneLayout,p=this.surface,d=c(t),m=l.dataScale,g=t.z[0].length,v=t._ylength,y=l.contourLevels;this.data=t;var x=[];for(e=0;e<3;e++)for(x[e]=[],r=0;r<g;r++)x[e][r]=[];for(r=0;r<g;r++)for(n=0;n<v;n++)x[0][r][n]=this.getXat(r,n,t.xcalendar,h.xaxis),x[1][r][n]=this.getYat(r,n,t.ycalendar,h.yaxis),x[2][r][n]=this.getZat(r,n,t.zcalendar,h.zaxis);if(t.connectgaps)for(t._emptypoints=s(x[2]),o(x[2],t._emptypoints),t._interpolatedZ=[],r=0;r<g;r++)for(t._interpolatedZ[r]=[],n=0;n<v;n++)t._interpolatedZ[r][n]=x[2][r][n];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)null==(a=x[e][r][n])?x[e][r][n]=NaN:a=x[e][r][n]*=m[e];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)null!=(a=x[e][r][n])&&(this.minValues[e]>a&&(this.minValues[e]=a),this.maxValues[e]<a&&(this.maxValues[e]=a));for(e=0;e<3;e++)this.objectOffset[e]=.5*(this.minValues[e]+this.maxValues[e]);for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)null!=(a=x[e][r][n])&&(x[e][r][n]-=this.objectOffset[e]);var b=[i(new Float32Array(g*v),[g,v]),i(new Float32Array(g*v),[g,v]),i(new Float32Array(g*v),[g,v])];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)b[e].set(r,n,x[e][r][n]);x=[];var w={colormap:d,levels:[[],[],[]],showContour:[!0,!0,!0],showSurface:!t.hidesurface,contourProject:[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],contourWidth:[1,1,1],contourColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],contourTint:[1,1,1],dynamicColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],dynamicWidth:[1,1,1],dynamicTint:[1,1,1],opacityscale:t.opacityscale,opacity:t.opacity},T=f(t);if(w.intensityBounds=[T.min,T.max],t.surfacecolor){var k=i(new Float32Array(g*v),[g,v]);for(r=0;r<g;r++)for(n=0;n<v;n++)k.set(r,n,t.surfacecolor[n][r]);b.push(k)}else w.intensityBounds[0]*=m[2],w.intensityBounds[1]*=m[2];(_<b[0].shape[0]||_<b[0].shape[1])&&(this.refineData=!1),!0===this.refineData&&(this.dataScaleX=this.estimateScale(b[0].shape[0],0),this.dataScaleY=this.estimateScale(b[0].shape[1],1),1===this.dataScaleX&&1===this.dataScaleY||this.refineCoords(b)),t.surfacecolor&&(w.intensity=b.pop());var A=[!0,!0,!0],M=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var S=t.contours[M[e]];A[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=y[e],p.highlightColor[e]=w.contourColor[e]=u(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=u(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,\"lighting\"in t&&(p.ambientLight=t.lighting.ambient,p.diffuseLight=t.lighting.diffuse,p.specularLight=t.lighting.specular,p.roughness=t.lighting.roughness,p.fresnel=t.lighting.fresnel),\"lightposition\"in t&&(p.lightPosition=[t.lightposition.x,t.lightposition.y,t.lightposition.z])},p.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose()},e.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new h(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}},{\"../../../stackgl_modules\":1133,\"../../components/colorscale\":379,\"../../lib\":515,\"../../lib/gl_format_color\":511,\"../../lib/str2rgbarray\":540,\"../heatmap/find_empties\":807,\"../heatmap/interp2d\":810}],1073:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"../../components/colorscale/defaults\"),o=t(\"./attributes\");function s(t,e,r,n){var 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this._expand(r+1),this.words[r]=e?this.words[r]|1<<i:this.words[r]&~(1<<i),this.strip()},a.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a<n.length;a++)e=(0|r.words[a])+(0|n.words[a])+i,this.words[a]=67108863&e,i=e>>>26;for(;0!==i&&a<r.length;a++)e=(0|r.words[a])+i,this.words[a]=67108863&e,i=e>>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;a<r.length;a++)this.words[a]=r.words[a];return this},a.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,c=0,u=0|o[0],f=8191&u,h=u>>>13,p=0|o[1],d=8191&p,m=p>>>13,g=0|o[2],v=8191&g,y=g>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],I=8191&P,O=P>>>13,z=0|o[8],D=8191&z,R=z>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,H=0|s[1],q=8191&H,G=H>>>13,Y=0|s[2],W=8191&Y,Z=Y>>>13,X=0|s[3],J=8191&X,K=X>>>13,Q=0|s[4],$=8191&Q,tt=Q>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ft=8191&ut,ht=ut>>>13,pt=0|s[9],dt=8191&pt,mt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(c+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;c=((a=Math.imul(h,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(m,U)|0,a=Math.imul(m,V);var vt=(c+(n=n+Math.imul(f,q)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,q)|0))<<13)|0;c=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(v,U),i=(i=Math.imul(v,V))+Math.imul(y,U)|0,a=Math.imul(y,V),n=n+Math.imul(d,q)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(m,q)|0,a=a+Math.imul(m,G)|0;var yt=(c+(n=n+Math.imul(f,W)|0)|0)+((8191&(i=(i=i+Math.imul(f,Z)|0)+Math.imul(h,W)|0))<<13)|0;c=((a=a+Math.imul(h,Z)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(v,q)|0,i=(i=i+Math.imul(v,G)|0)+Math.imul(y,q)|0,a=a+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,i=(i=i+Math.imul(d,Z)|0)+Math.imul(m,W)|0,a=a+Math.imul(m,Z)|0;var xt=(c+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;c=((a=a+Math.imul(h,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,q)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(v,W)|0,i=(i=i+Math.imul(v,Z)|0)+Math.imul(y,W)|0,a=a+Math.imul(y,Z)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(m,J)|0,a=a+Math.imul(m,K)|0;var bt=(c+(n=n+Math.imul(f,$)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,$)|0))<<13)|0;c=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,q)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,W)|0,i=(i=i+Math.imul(b,Z)|0)+Math.imul(_,W)|0,a=a+Math.imul(_,Z)|0,n=n+Math.imul(v,J)|0,i=(i=i+Math.imul(v,K)|0)+Math.imul(y,J)|0,a=a+Math.imul(y,K)|0,n=n+Math.imul(d,$)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(m,$)|0,a=a+Math.imul(m,tt)|0;var _t=(c+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;c=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,q)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,i=(i=i+Math.imul(T,Z)|0)+Math.imul(k,W)|0,a=a+Math.imul(k,Z)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(v,$)|0,i=(i=i+Math.imul(v,tt)|0)+Math.imul(y,$)|0,a=a+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0;var wt=(c+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;c=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(I,U),i=(i=Math.imul(I,V))+Math.imul(O,U)|0,a=Math.imul(O,V),n=n+Math.imul(L,q)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,W)|0,i=(i=i+Math.imul(M,Z)|0)+Math.imul(S,W)|0,a=a+Math.imul(S,Z)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(b,$)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,$)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(v,rt)|0,i=(i=i+Math.imul(v,nt)|0)+Math.imul(y,rt)|0,a=a+Math.imul(y,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0;var Tt=(c+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ct)|0)+Math.imul(h,lt)|0))<<13)|0;c=((a=a+Math.imul(h,ct)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),i=(i=Math.imul(D,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(I,q)|0,i=(i=i+Math.imul(I,G)|0)+Math.imul(O,q)|0,a=a+Math.imul(O,G)|0,n=n+Math.imul(L,W)|0,i=(i=i+Math.imul(L,Z)|0)+Math.imul(C,W)|0,a=a+Math.imul(C,Z)|0,n=n+Math.imul(M,J)|0,i=(i=i+Math.imul(M,K)|0)+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(T,$)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,$)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(v,at)|0,i=(i=i+Math.imul(v,ot)|0)+Math.imul(y,at)|0,a=a+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ct)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ct)|0;var kt=(c+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;c=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(D,q)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(I,W)|0,i=(i=i+Math.imul(I,Z)|0)+Math.imul(O,W)|0,a=a+Math.imul(O,Z)|0,n=n+Math.imul(L,J)|0,i=(i=i+Math.imul(L,K)|0)+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(M,$)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,$)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(v,lt)|0,i=(i=i+Math.imul(v,ct)|0)+Math.imul(y,lt)|0,a=a+Math.imul(y,ct)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var At=(c+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,mt)|0)+Math.imul(h,dt)|0))<<13)|0;c=((a=a+Math.imul(h,mt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,q),i=(i=Math.imul(B,G))+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(D,W)|0,i=(i=i+Math.imul(D,Z)|0)+Math.imul(R,W)|0,a=a+Math.imul(R,Z)|0,n=n+Math.imul(I,J)|0,i=(i=i+Math.imul(I,K)|0)+Math.imul(O,J)|0,a=a+Math.imul(O,K)|0,n=n+Math.imul(L,$)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,$)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ct)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ct)|0,n=n+Math.imul(v,ft)|0,i=(i=i+Math.imul(v,ht)|0)+Math.imul(y,ft)|0,a=a+Math.imul(y,ht)|0;var Mt=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,mt)|0)+Math.imul(m,dt)|0))<<13)|0;c=((a=a+Math.imul(m,mt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,W),i=(i=Math.imul(B,Z))+Math.imul(N,W)|0,a=Math.imul(N,Z),n=n+Math.imul(D,J)|0,i=(i=i+Math.imul(D,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(I,$)|0,i=(i=i+Math.imul(I,tt)|0)+Math.imul(O,$)|0,a=a+Math.imul(O,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ct)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ct)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(c+(n=n+Math.imul(v,dt)|0)|0)+((8191&(i=(i=i+Math.imul(v,mt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((a=a+Math.imul(y,mt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(D,$)|0,i=(i=i+Math.imul(D,tt)|0)+Math.imul(R,$)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(I,rt)|0,i=(i=i+Math.imul(I,nt)|0)+Math.imul(O,rt)|0,a=a+Math.imul(O,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ct)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ct)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(c+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,mt)|0)+Math.imul(_,dt)|0))<<13)|0;c=((a=a+Math.imul(_,mt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,$),i=(i=Math.imul(B,tt))+Math.imul(N,$)|0,a=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,i=(i=i+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(I,at)|0,i=(i=i+Math.imul(I,ot)|0)+Math.imul(O,at)|0,a=a+Math.imul(O,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ct)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ct)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(c+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,mt)|0)+Math.imul(k,dt)|0))<<13)|0;c=((a=a+Math.imul(k,mt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(D,at)|0,i=(i=i+Math.imul(D,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(I,lt)|0,i=(i=i+Math.imul(I,ct)|0)+Math.imul(O,lt)|0,a=a+Math.imul(O,ct)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(c+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,mt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((a=a+Math.imul(S,mt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,i=(i=i+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ct)|0,n=n+Math.imul(I,ft)|0,i=(i=i+Math.imul(I,ht)|0)+Math.imul(O,ft)|0,a=a+Math.imul(O,ht)|0;var Pt=(c+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,mt)|0)+Math.imul(C,dt)|0))<<13)|0;c=((a=a+Math.imul(C,mt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ct))+Math.imul(N,lt)|0,a=Math.imul(N,ct),n=n+Math.imul(D,ft)|0,i=(i=i+Math.imul(D,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var It=(c+(n=n+Math.imul(I,dt)|0)|0)+((8191&(i=(i=i+Math.imul(I,mt)|0)+Math.imul(O,dt)|0))<<13)|0;c=((a=a+Math.imul(O,mt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var Ot=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(i=(i=i+Math.imul(D,mt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((a=a+Math.imul(R,mt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863;var zt=(c+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,mt))+Math.imul(N,dt)|0))<<13)|0;return c=((a=Math.imul(N,mt))+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863,l[0]=gt,l[1]=vt,l[2]=yt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=It,l[17]=Ot,l[18]=zt,0!==c&&(l[19]=c,r.length++),r};function m(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?d(this,t,e):r<63?p(this,t,e):r<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),c=Math.max(0,a-t.length+1);c<=l;c++){var u=a-c,f=(0|t.words[u])*(0|e.words[c]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):m(this,t,e)},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),c=Math.sin(2*Math.PI/s),u=0;u<i;u+=s)for(var f=l,h=c,p=0;p<o;p++){var d=r[u+p],m=n[u+p],g=r[u+p+o],v=n[u+p+o],y=f*g-h*v;v=f*v+h*g,g=y,r[u+p]=d+g,n[u+p]=m+v,r[u+p+o]=d-g,n[u+p+o]=m-v,p!==s&&(y=l*f-c*h,h=l*h+c*f,f=y)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),c=new Array(n),u=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,c,n),this.transform(o,a,s,l,n,i),this.transform(c,a,u,f,n,i);for(var p=0;p<n;p++){var d=s[p]*u[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*u[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),m(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n(\"number\"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var c=0;c<o;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,c=0;c<this.length;c++)this.words[c]=this.words[c+o];else this.words[0]=0,this.length=1;var u=0;for(c=this.length-1;c>=0&&(0!==u||c>=i);c--){var f=0|this.words[c];this.words[c]=u<<26-a|f>>>a,u=f&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r)&&!!(this.words[r]&i)},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!==(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=n.clone()._ishlnsubmul(i,1,l);0===u.negative&&(n=u,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(u),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,m=1;0==(r.words[0]&m)&&d<26;++d,m<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return 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numbers\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var v={k256:null,p224:null,p192:null,p25519:null};function y(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){y.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function b(){y.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function _(){y.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){y.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function T(t){if(\"string\"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}y.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},y.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},y.prototype.split=function(t,e){t.iushrn(this.n,0,e)},y.prototype.imulK=function(t){return t.imul(this.k)},i(x,y),x.prototype.split=function(t,e){for(var r=Math.min(t.length,9),n=0;n<r;n++)e.words[n]=t.words[n];if(e.length=r,t.length<=9)return t.words[0]=0,void(t.length=1);var i=t.words[9];for(e.words[e.length++]=4194303&i,n=10;n<t.length;n++){var a=0|t.words[n];t.words[n-10]=(4194303&a)<<4|i>>>22,i=a}i>>>=22,t.words[n-10]=i,0===i&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(b,y),i(_,y),i(w,y),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(v[t])return v[t];var e;if(\"k256\"===t)e=new x;else if(\"p224\"===t)e=new b;else if(\"p192\"===t)e=new _;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new w}return v[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),c=this.m.subn(1).iushrn(1),u=this.m.bitLength();for(u=new a(2*u*u).toRed(this);0!==this.pow(u,c).cmp(l);)u.redIAdd(l);for(var f=this.pow(u,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var m=p,g=0;0!==m.cmp(s);g++)m=m.redSqr();n(g<d);var v=this.pow(f,new a(1).iushln(d-g-1));h=h.redMul(v),f=v.redSqr(),p=p.redMul(f),d=g}return h},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var c=e.words[n],u=l-1;u>=0;u--){var f=c>>u&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4===++s||0===n&&0===u)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new k(t)},i(k,T),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var r=t.mul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),o=i;return i.cmp(this.m)>=0?o=i.isub(this.m):i.cmpn(0)<0&&(o=i.iadd(this.m)),o._forceRed(this)},k.prototype.invm=function(t){return this.imod(t._invmp(this.m).mul(this.r2))._forceRed(this)}}(void 0===e||e,this)},{buffer:2}],34:[function(t,e,r){\"use strict\";e.exports=function(t){var e,r,n,i=t.length,a=0;for(e=0;e<i;++e)a+=t[e].length;var o=new Array(a),s=0;for(e=0;e<i;++e){var l=t[e],c=l.length;for(r=0;r<c;++r){var u=o[s++]=new Array(c-1),f=0;for(n=0;n<c;++n)n!==r&&(u[f++]=l[n]);if(1&r){var h=u[1];u[1]=u[0],u[0]=h}}}return o}},{}],35:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){switch(arguments.length){case 1:return f(t);case 2:return\"function\"==typeof e?c(t,t,e,!0):h(t,e);case 3:return c(t,e,r,!1);default:throw new Error(\"box-intersect: Invalid arguments\")}};var n,i=t(\"typedarray-pool\"),a=t(\"./lib/sweep\"),o=t(\"./lib/intersect\");function s(t,e){for(var r=0;r<t;++r)if(!(e[r]<=e[r+t]))return!0;return!1}function l(t,e,r,n){for(var i=0,a=0,o=0,l=t.length;o<l;++o){var c=t[o];if(!s(e,c)){for(var u=0;u<2*e;++u)r[i++]=c[u];n[a++]=o}}return a}function c(t,e,r,n){var s=t.length,c=e.length;if(!(s<=0||c<=0)){var u=t[0].length>>>1;if(!(u<=0)){var f,h=i.mallocDouble(2*u*s),p=i.mallocInt32(s);if((s=l(t,u,h,p))>0){if(1===u&&n)a.init(s),f=a.sweepComplete(u,r,0,s,h,p,0,s,h,p);else{var d=i.mallocDouble(2*u*c),m=i.mallocInt32(c);(c=l(e,u,d,m))>0&&(a.init(s+c),f=1===u?a.sweepBipartite(u,r,0,s,h,p,0,c,d,m):o(u,r,n,s,h,p,c,d,m),i.free(d),i.free(m))}i.free(h),i.free(p)}return f}}}function u(t,e){n.push([t,e])}function f(t){return n=[],c(t,t,u,!0),n}function h(t,e){return n=[],c(t,e,u,!1),n}},{\"./lib/intersect\":37,\"./lib/sweep\":41,\"typedarray-pool\":308}],36:[function(t,e,r){\"use strict\";function n(t){return t?function(t,e,r,n,i,a,o,s,l,c,u){return i-n>l-s?function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=n,p=f*n;h<i;++h,p+=f){var d=a[e+p],m=a[e+p+t],g=o[h];t:for(var v=s,y=f*s;v<l;++v,y+=f){var x=c[e+y],b=c[e+y+t],_=u[v];if(!(b<d||m<x)){for(var w=e+1;w<t;++w){var T=a[w+p],k=a[w+t+p],A=c[w+y],M=c[w+t+y];if(k<A||M<T)continue t}var S=r(g,_);if(void 0!==S)return S}}}}(t,e,r,n,i,a,o,s,l,c,u):function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=s,p=f*s;h<l;++h,p+=f){var d=c[e+p],m=c[e+p+t],g=u[h];t:for(var v=n,y=f*n;v<i;++v,y+=f){var x=a[e+y],b=a[e+y+t],_=o[v];if(!(m<x||b<d)){for(var w=e+1;w<t;++w){var T=a[w+y],k=a[w+t+y],A=c[w+p],M=c[w+t+p];if(k<A||M<T)continue t}var S=r(_,g);if(void 0!==S)return S}}}}(t,e,r,n,i,a,o,s,l,c,u)}:function(t,e,r,n,i,a,o,s,l,c,u,f){return a-i>c-l?n?function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=n,p=f*n;h<i;++h,p+=f){var d=a[e+p],m=a[e+p+t],g=o[h];t:for(var v=s,y=f*s;v<l;++v,y+=f){var x=c[e+y],b=u[v];if(!(x<=d||m<x)){for(var _=e+1;_<t;++_){var w=a[_+p],T=a[_+t+p],k=c[_+y],A=c[_+t+y];if(T<k||A<w)continue t}var M=r(b,g);if(void 0!==M)return 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e=i.nextPow2(t);o.length<e&&(n.free(o),o=n.mallocInt32(e));s.length<e&&(n.free(s),s=n.mallocInt32(e));l.length<e&&(n.free(l),l=n.mallocInt32(e));c.length<e&&(n.free(c),c=n.mallocInt32(e));u.length<e&&(n.free(u),u=n.mallocInt32(e));f.length<e&&(n.free(f),f=n.mallocInt32(e));var r=8*e;h.length<r&&(n.free(h),h=n.mallocDouble(r))},sweepBipartite:function(t,e,r,n,i,u,f,m,g,v){for(var y=0,x=2*t,b=t-1,_=x-1,w=r;w<n;++w){var T=u[w],k=x*w;h[y++]=i[k+b],h[y++]=-(T+1),h[y++]=i[k+_],h[y++]=T}for(w=f;w<m;++w){T=v[w]+(1<<28);var A=x*w;h[y++]=g[A+b],h[y++]=-T,h[y++]=g[A+_],h[y++]=T}var M=y>>>1;a(h,M);var S=0,E=0;for(w=0;w<M;++w){var L=0|h[2*w+1];if(L>=1<<28)p(l,c,E--,L=L-(1<<28)|0);else if(L>=0)p(o,s,S--,L);else if(L<=-(1<<28)){L=-L-(1<<28)|0;for(var C=0;C<S;++C){if(void 0!==(P=e(o[C],L)))return P}d(l,c,E++,L)}else{L=-L-1|0;for(C=0;C<E;++C){var P;if(void 0!==(P=e(L,l[C])))return P}d(o,s,S++,L)}}},sweepComplete:function(t,e,r,n,i,m,g,v,y,x){for(var b=0,_=2*t,w=t-1,T=_-1,k=r;k<n;++k){var 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e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<=0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new h(this,n)},l.gt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new h(this,n)},l.lt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new h(this,n)},l.le=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>=0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new h(this,n)},l.find=function(t){for(var e=this._compare,r=this.root,n=[];r;){var i=e(t,r.key);if(n.push(r),0===i)return new h(this,n);r=i<=0?r.left:r.right}return new h(this,[])},l.remove=function(t){var e=this.find(t);return e?e.remove():this},l.get=function(t){for(var e=this._compare,r=this.root;r;){var n=e(t,r.key);if(0===n)return r.value;r=n<=0?r.left:r.right}};var p=h.prototype;function d(t,e){t.key=e.key,t.value=e.value,t.left=e.left,t.right=e.right,t._color=e._color,t._count=e._count}function m(t,e){return t<e?-1:t>e?1:0}Object.defineProperty(p,\"valid\",{get:function(){return this._stack.length>0}}),Object.defineProperty(p,\"node\",{get:function(){return this._stack.length>0?this._stack[this._stack.length-1]:null},enumerable:!0}),p.clone=function(){return new h(this.tree,this._stack.slice())},p.remove=function(){var t=this._stack;if(0===t.length)return this.tree;var e=new Array(t.length),r=t[t.length-1];e[e.length-1]=new n(r._color,r.key,r.value,r.left,r.right,r._count);for(var l=t.length-2;l>=0;--l){(r=t[l]).left===t[l+1]?e[l]=new n(r._color,r.key,r.value,e[l+1],r.right,r._count):e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count)}if((r=e[e.length-1]).left&&r.right){var c=e.length;for(r=r.left;r.right;)e.push(r),r=r.right;var u=e[c-1];e.push(new n(r._color,u.key,u.value,r.left,r.right,r._count)),e[c-1].key=r.key,e[c-1].value=r.value;for(l=e.length-2;l>=c;--l)r=e[l],e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count);e[c-1].left=e[c]}if(0===(r=e[e.length-1])._color){var f=e[e.length-2];f.left===r?f.left=null:f.right===r&&(f.right=null),e.pop();for(l=0;l<e.length;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(r.left||r.right){r.left?d(r,r.left):r.right&&d(r,r.right),r._color=1;for(l=0;l<e.length-1;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(1===e.length)return new s(this.tree._compare,null);for(l=0;l<e.length;++l)e[l]._count--;var h=e[e.length-2];return function(t){for(var e,r,n,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((r=t[l-1]).left===e){if((n=r.right).right&&0===n.right._color){if(s=(n=r.right=i(n)).right=i(n.right),r.right=n.left,n.left=r,n.right=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).left===r?c.left=n:c.right=n;return void(t[l-1]=n)}if(n.left&&0===n.left._color){if(s=(n=r.right=i(n)).left=i(n.left),r.right=s.left,n.left=s.right,s.left=r,s.right=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).left===r?c.left=s:c.right=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.right=a(0,n));r.right=a(0,n);continue}n=i(n),r.right=n.left,n.left=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).left===r?c.left=n:c.right=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((n=r.left).left&&0===n.left._color){if(s=(n=r.left=i(n)).left=i(n.left),r.left=n.right,n.right=r,n.left=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).right===r?c.right=n:c.left=n;return void(t[l-1]=n)}if(n.right&&0===n.right._color){if(s=(n=r.left=i(n)).right=i(n.right),r.left=s.right,n.right=s.left,s.right=r,s.left=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).right===r?c.right=s:c.left=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.left=a(0,n));r.left=a(0,n);continue}var c;n=i(n),r.left=n.right,n.right=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).right===r?c.right=n:c.left=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(e),h.left===r?h.left=null:h.right=null,new s(this.tree._compare,e[0])},Object.defineProperty(p,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(p,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(p,\"index\",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),p.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,\"hasNext\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),p.update=function(t){var e=this._stack;if(0===e.length)throw new Error(\"Can't update empty node!\");var r=new Array(e.length),i=e[e.length-1];r[r.length-1]=new n(i._color,i.key,t,i.left,i.right,i._count);for(var a=e.length-2;a>=0;--a)(i=e[a]).left===e[a+1]?r[a]=new n(i._color,i.key,i.value,r[a+1],i.right,i._count):r[a]=new n(i._color,i.key,i.value,i.left,r[a+1],i._count);return new s(this.tree._compare,r[0])},p.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,\"hasPrev\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},{}],70:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=new u(t);return r.update(e),r};var n=t(\"./lib/text.js\"),i=t(\"./lib/lines.js\"),a=t(\"./lib/background.js\"),o=t(\"./lib/cube.js\"),s=t(\"./lib/ticks.js\"),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function c(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function u(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=\"sans-serif\",this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var f=u.prototype;function h(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}f.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),c=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),u=!1,f=!1;if(\"bounds\"in t)for(var h=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)h[p][d]!==this.bounds[p][d]&&(f=!0),this.bounds[p][d]=h[p][d];if(\"ticks\"in t){r=t.ticks,u=!0,this.autoTicks=!1;for(p=0;p<3;++p)this.tickSpacing[p]=0}else a(\"tickSpacing\")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),f=!0,u=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?u=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(u=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),c(\"tickColor\");var m=l(\"labels\");l(\"labelFont\")&&(m=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),c(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),c(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),c(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),c(\"gridColor\"),o(\"zeroEnable\"),c(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),c(\"backgroundColor\"),this._text?this._text&&(m||u)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var f=a,h=s,p=o,d=l;c&1<<u&&(f=s,h=a,p=l,d=o),f[u]=r[0][u],h[u]=r[1][u],i[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var m=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var v=[0,0,0],y=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,u=o(r,n,i,a,s),f=u.cubeEdges,h=u.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E=m;for(A=0;A<3;++A)this.backgroundEnable[A]?E[A]=h[A]:E[A]=0;this._background.draw(r,n,i,a,E,this.backgroundColor),this._lines.bind(r,n,i,this);for(A=0;A<3;++A){var L=[0,0,0];h[A]>0?L[A]=a[1][A]:L[A]=a[0][A];for(var C=0;C<2;++C){var P=(A+1+C)%3,I=(A+1+(1^C))%3;this.gridEnable[P]&&this._lines.drawGrid(P,I,this.bounds,L,this.gridColor[P],this.gridWidth[P]*this.pixelRatio)}for(C=0;C<2;++C){P=(A+1+C)%3,I=(A+1+(1^C))%3;this.zeroEnable[I]&&Math.min(a[0][I],a[1][I])<=0&&Math.max(a[0][I],a[1][I])>=0&&this._lines.drawZero(P,I,this.bounds,L,this.zeroLineColor[I],this.zeroLineWidth[I]*this.pixelRatio)}}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var O=c(v,M[A].primalMinor),z=c(y,M[A].mirrorMinor),D=this.lineTickLength;for(C=0;C<3;++C){var R=k/r[5*C];O[C]*=D[C]*R,z[C]*=D[C]*R}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,O,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio);var F,B;function N(t){(B=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,H=c(x,M[A].primalOffset);for(C=0;C<3;++C)this.lineTickEnable[A]&&(H[C]+=k*U[C]*Math.max(this.lineTickLength[C],0)/r[5*C]);var q=[0,0,0];if(q[A]=1,this.tickEnable[A]){-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]=\"auto\"):this.tickAlign[A]=-1,F=1,\"auto\"===(S=[this.tickAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),B=[0,0,0],j(A,U,V);for(C=0;C<3;++C)H[C]+=k*U[C]*this.tickPad[C]/r[5*C];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],H,this.tickColor[A],q,B,S)}if(this.labelEnable[A]){F=0,B=[0,0,0],this.labels[A].length>4&&(N(A),F=1),\"auto\"===(S=[this.labelAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]);for(C=0;C<3;++C)H[C]+=k*U[C]*this.labelPad[C]/r[5*C];H[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],H,this.labelColor[A],[0,0,0],B,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{\"./lib/background.js\":71,\"./lib/cube.js\":72,\"./lib/lines.js\":73,\"./lib/text.js\":75,\"./lib/ticks.js\":76}],71:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[c]=d;for(var m=-1;m<=1;m+=2)f[u]=m,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=c;c=u,u=g}var v=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:v,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:v,type:t.FLOAT,size:3,offset:12,stride:24}],y),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,v,x,b)};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders\").bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders\":74,\"gl-buffer\":78,\"gl-vao\":150}],72:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=a[x][2];for(var b=0;b<2;++b){u[1]=a[b][1];for(var _=0;_<2;++_)u[0]=a[_][0],h(l[y],u,s),y+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)c[x][k]=l[x][k]/T;p&&(c[x][2]*=-1),T<0&&(w<0||c[x][2]<c[w][2])&&(w=x)}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=(O=C<<A)+(C<<M)+(1-C<<S),I=O+(1-C<<M)+(C<<S);o(c[O],c[P],c[I],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<A);else{for(C=0;C<2;++C){P=(O=C<<A)+(C<<M)+(1-C<<S),I=O+(1-C<<M)+(C<<S);var O,z=d([l[O],l[P],l[I],l[O+(1<<M)+(1<<S)]]);C?E=z:L=z}L>E&&(w|=1<<A)}}}var D=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==D&&(R<0||c[R][1]>c[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x){if((N=R^1<<x)!==w&&N!==D)F<0&&(F=N),(S=c[N])[0]<c[F][0]&&(F=N)}var B=-1;for(x=0;x<3;++x){var N;if((N=R^1<<x)!==w&&N!==D&&N!==F)B<0&&(B=N),(S=c[N])[0]>c[B][0]&&(B=N)}var j=m;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===D?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,H=w;for(A=0;A<3;++A)V[A]=H&1<<A?-1:1;return v};var n=t(\"bit-twiddle\"),i=t(\"gl-mat4/multiply\"),a=t(\"split-polygon\"),o=t(\"robust-orientation\"),s=new Array(16),l=new Array(8),c=new Array(8),u=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],c[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(c*h-u*f)}return o}var m=[1,1,1],g=[0,0,0],v={cubeEdges:m,axis:g}},{\"bit-twiddle\":32,\"gl-mat4/multiply\":100,\"robust-orientation\":284,\"split-polygon\":300}],73:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var m=+r[f][d].x;o.push(m,0,1,m,1,1,m,0,-1,m,0,-1,m,1,1,m,1,-1)}var g=o.length/3|0;s[f]=h,l[f]=g-h;h=o.length/3|0;for(var v=0;v<r[f].length;++v){m=+r[f][v].x;o.push(m,0,1,m,1,1,m,0,-1,m,0,-1,m,1,1,m,1,-1)}g=o.length/3|0;c[f]=h,u[f]=g-h}var y=n(t,new Float32Array(o)),x=i(t,[{buffer:y,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,y,x,b,l,s,u,c)};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders\").line,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,u=h(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var u=f(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=h(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var m=f(l);m[t]=1,this.shader.uniforms.screenAxis=m,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=h(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{\"./shaders\":74,\"gl-buffer\":78,\"gl-vao\":150}],74:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.line=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.text=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);r.bg=function(t){return i(t,c,u,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},{\"gl-shader\":132,glslify:231}],75:[function(t,e,r){(function(r){(function(){\"use strict\";e.exports=function(t,e,r,a,s,l){var u=n(t),f=i(t,[{buffer:u,size:3}]),h=o(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,a,s,l),p};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"vectorize-text\"),o=t(\"./shaders\").text,s=window||r.global||{},l=s.__TEXT_CACHE||{};s.__TEXT_CACHE={};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var u=c.prototype,f=[0,0];u.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,f[0]=this.gl.drawingBufferWidth,f[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=f},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,r,n,i){var o=[];function s(t,e,r,n,i,s){var c=l[r];c||(c=l[r]={});var u=c[e];u||(u=c[e]=function(t,e){try{return a(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=u.positions,p=u.cells,d=0,m=p.length;d<m;++d)for(var g=p[d],v=2;v>=0;--v){var y=h[g[v]];o.push(f*y[0],-f*y[1],t)}}for(var c=[0,0,0],u=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=o.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(o.length/3|0)-f[d],c[d]=o.length/3|0;for(var m=0;m<n[d].length;++m)n[d][m].text&&s(n[d][m].x,n[d][m].text,n[d][m].font||i,n[d][m].fontSize||12,1.25,p);u[d]=(o.length/3|0)-c[d]}this.buffer.update(o),this.tickOffset=c,this.tickCount=u,this.labelOffset=f,this.labelCount=h},u.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},u.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},u.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this)}).call(this,t(\"_process\"))},{\"./shaders\":74,_process:5,\"gl-buffer\":78,\"gl-vao\":150,\"vectorize-text\":311}],76:[function(t,e,r){\"use strict\";function n(t,e){var r=t+\"\",n=r.indexOf(\".\"),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,c=o%a;o<0?(l=0|-Math.ceil(l),c=0|-c):(l=0|Math.floor(l),c|=0);var u=\"\"+l;if(o<0&&(u=\"-\"+u),i){for(var f=\"\"+c;f.length<i;)f=\"0\"+f;return u+\".\"+f}return u}r.create=function(t,e){for(var r=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:n(e[i],o)});for(o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:n(e[i],o)});r.push(a)}return r},r.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}},{}],77:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,l,f){var h=e.model||c,p=e.view||c,v=e.projection||c,y=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,v,x,y)).axis;o(u,p,h),o(u,v,u);for(var _=m,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(u,u));s(u,u);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=g;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var L=0;L<2;++L){S[A]=x[L^w][A];for(var C=0;C<2;++C)S[M]=x[C^L^w][M],E.push(S.slice())}var P=y?5:4;for(L=P;L===P;++L){if(0===E.length)continue t;E=i.positive(E,T[L])}for(L=0;L<E.length;++L){M=E[L];var I=d(g,u,M,r,l);for(C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,M[C]),_[C].hi=Math.max(_[C].hi,M[C]),C!==k&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(I[C])))}}}}return _};var n=t(\"extract-frustum-planes\"),i=t(\"split-polygon\"),a=t(\"./lib/cube.js\"),o=t(\"gl-mat4/multiply\"),s=t(\"gl-mat4/transpose\"),l=t(\"gl-vec4/transformMat4\"),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(u*u+f*f)}return t}var m=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],g=[0,0,0]},{\"./lib/cube.js\":72,\"extract-frustum-planes\":67,\"gl-mat4/multiply\":100,\"gl-mat4/transpose\":109,\"gl-vec4/transformMat4\":221,\"split-polygon\":300}],78:[function(t,e,r){\"use strict\";var n=t(\"typedarray-pool\"),i=t(\"ndarray-ops\"),a=t(\"ndarray\"),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function c(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function u(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER)r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\";if(r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,\"uint16\"):u(t,\"float32\"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},{ndarray:259,\"ndarray-ops\":254,\"typedarray-pool\":308}],79:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\");e.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,f=1/0,h=-1/0,p=null,d=null,m=[],g=1/0,v=!1,y=0;y<r.length;y++){var x=r[y];s=Math.min(x[0],s),l=Math.max(x[0],l),c=Math.min(x[1],c),u=Math.max(x[1],u),f=Math.min(x[2],f),h=Math.max(x[2],h);var b=i[y];if(n.length(b)>o&&(o=n.length(b)),y){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),v=!1):v=!0}v||(p=x,d=b),m.push(b)}var w=[s,c,f],T=[l,u,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(g)||(g=1),a.vectorScale=g;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A;y=0;for(var M=0;y<r.length;y++)for(var S=(x=r[y])[0],E=x[1],L=x[2],C=m[y],P=n.length(C)*k,I=0;I<8;I++){a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var O=a.positions.length;a.cells.push([O-6,O-5,O-4],[O-3,O-2,O-1])}return a};var i=t(\"./lib/shaders\");e.exports.createMesh=t(\"./create_mesh\"),e.exports.createConeMesh=function(t,r){return e.exports.createMesh(t,r,{shaders:i,traceType:\"cone\"})}},{\"./create_mesh\":80,\"./lib/shaders\":81,\"gl-vec3\":169}],80:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"gl-mat4/multiply\"),l=t(\"gl-mat4/invert\"),c=t(\"ndarray\"),u=t(\"colormap\"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,c,u){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;function d(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}function m(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=u({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,m=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],m=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var v=p[g];d=Math.min(d,v),m=Math.max(m,v)}else for(g=0;g<n.length;++g){v=n[g][2];d=Math.min(d,v),m=Math.max(m,v)}this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(g=0;g<n.length;++g)for(var y=n[g],x=0;x<3;++x)!isNaN(y[x])&&isFinite(y[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],y[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],y[x]));var b=0;t:for(g=0;g<r.length;++g){var _=r[g];switch(_.length){case 3:for(x=0;x<3;++x){y=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(y[w])||!isFinite(y[w]))continue t}for(x=0;x<3;++x){var T;y=n[T=_[2-x]];a.push(y[0],y[1],y[2],y[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=h;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),A=p?[(p[T]-d)/(m-d),0]:[(y[2]-d)/(m-d),0],l.push(A[0],A[1]),f.push(g)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var c={model:r,view:n,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};c.inverseModel=l(c.inverseModel,c.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);s(u,c.view,c.model),s(u,c.projection,u),l(u,u);for(o=0;o<3;++o)c.eyePosition[o]=u[12+o]/u[15];var h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];c.lightPosition[o]=p/h}if(this.triangleCount>0){var m=this.triShader;m.bind(),m.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?i.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},e.exports=function(t,e,r){var n=r.shaders;1===arguments.length&&(t=(e=t).gl);var s=d(t,n),l=m(t,n),u=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));u.generateMipmap(),u.minFilter=t.LINEAR_MIPMAP_LINEAR,u.magFilter=t.LINEAR;var f=i(t),p=i(t),g=i(t),v=i(t),y=i(t),x=a(t,[{buffer:f,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:4}]),b=new h(t,u,s,l,f,p,y,g,v,x,r.traceType||\"cone\");return b.update(e),b}},{colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-shader\":132,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259}],81:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * view * conePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},{glslify:231}],82:[function(t,e,r){e.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORM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t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var m=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return m._shape[0]},set:function(t){return m.width=t}},1:{get:function(){return m._shape[1]},set:function(t){return m.height=t}}}),this._shapeVector=g,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,m=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var v=0;v<o;++v)t.color[v]=h(r,i,a,g,r.RGBA,r.COLOR_ATTACHMENT0+v);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var y=r.getExtension(\"WEBGL_depth_texture\");y?d?t.depth=h(r,i,a,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):m&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):m&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):m?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null);for(v=0;v<t.color.length;++v)t.color[v].dispose(),t.color[v]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),f(x)}u(r,e)}(this)}var m=d.prototype;function g(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=c(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),u(n,a),f(s)),u(n,a)}}Object.defineProperties(m,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return g(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,g(this,this._shape[0],t),t},enumerable:!1}}),m.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},m.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{\"gl-texture2d\":146}],87:[function(t,e,r){var n=t(\"sprintf-js\").sprintf,i=t(\"gl-constants/lookup\"),a=t(\"glsl-shader-name\"),o=t(\"add-line-numbers\");e.exports=function(t,e,r){\"use strict\";var s=a(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===i.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var c=n(\"Error compiling %s shader %s:\\n\",l,s),u=n(\"%s%s\",c,t),f=t.split(\"\\n\"),h={},p=0;p<f.length;p++){var d=f[p];if(\"\"!==d&&\"\\0\"!==d){var m=parseInt(d.split(\":\")[2]);if(isNaN(m))throw new Error(n(\"Could not parse error: %s\",d));h[m]=d}}var g=o(e).split(\"\\n\");for(p=0;p<g.length;p++)if(h[p+3]||h[p+2]||h[p+1]){var v=g[p];if(c+=v+\"\\n\",h[p+1]){var y=h[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),c+=n(\"^^^ %s\\n\\n\",y)}}return{long:c.trim(),short:u.trim()}}},{\"add-line-numbers\":9,\"gl-constants/lookup\":83,\"glsl-shader-name\":223,\"sprintf-js\":301}],88:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=t.gl,n=o(r,l.vertex,l.fragment),i=o(r,l.pickVertex,l.pickFragment),a=s(r),u=s(r),f=s(r),h=s(r),p=new c(t,n,i,a,u,f,h);return p.update(e),t.addObject(p),p};var n=t(\"binary-search-bounds\"),i=t(\"iota-array\"),a=t(\"typedarray-pool\"),o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"./lib/shaders\");function c(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var u,f=c.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(u=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],c=a[3]-a[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-a[0])/l-1,u[7]=2*(r[1]-a[1])/c-1,e.bind();var f=e.uniforms;f.viewTransform=u,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=a[2]-a[0],u=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*c/f,t[4]=2*u/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var m=i.attributes;return this.positionBuffer.bind(),m.position.pointer(),this.weightBuffer.bind(),m.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),m.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var c,u,f,p,d=t.colorLevels||[0],m=t.colorValues||[0,0,0,1],g=d.length,v=this.bounds;l?(c=v[0]=r[0],u=v[1]=o[0],f=v[2]=r[r.length-1],p=v[3]=o[o.length-1]):(c=v[0]=r[0]+(r[1]-r[0])/2,u=v[1]=o[0]+(o[1]-o[0])/2,f=v[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=v[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var y=1/(f-c),x=1/(p-u),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var P,I;l?(P=x*(o[C]-u),I=x*(o[C+1]-u)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-u):x*(o[C]-(o[C]-o[C-1])/2-u),I=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-u):x*(o[C]+(o[C]-o[C-1])/2-u));for(var O=0;O<E;++O){var z,D;l?(z=y*(r[O]-c),D=y*(r[O+1]-c)):(z=O<b-1?y*(r[O]-(r[O+1]-r[O])/2-c):y*(r[O]-(r[O]-r[O-1])/2-c),D=O<b-1?y*(r[O]+(r[O+1]-r[O])/2-c):y*(r[O]+(r[O]-r[O-1])/2-c));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],H=s[l?(C+V)*b+(O+U):C*b+O],q=n.le(d,H);if(q<0)F=m[0],B=m[1],N=m[2],j=m[3];else if(q===g-1)F=m[4*g-4],B=m[4*g-3],N=m[4*g-2],j=m[4*g-1];else{var G=(H-d[q])/(d[q+1]-d[q]),Y=1-G,W=4*q,Z=4*(q+1);F=Y*m[W]+G*m[Z],B=Y*m[W+1]+G*m[Z+1],N=Y*m[W+2]+G*m[Z+2],j=Y*m[W+3]+G*m[Z+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*z+.5*D,k[2*S+1]=.5*P+.5*I,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+O,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":89,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132,\"iota-array\":235,\"typedarray-pool\":308}],89:[function(t,e,r){\"use strict\";var n=t(\"glslify\");e.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},{glslify:231}],90:[function(t,e,r){var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];r.createShader=function(t){return i(t,a,o,null,l)},r.createPickShader=function(t){return i(t,a,s,null,l)}},{\"gl-shader\":132,glslify:231}],91:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=a(e,u);d.wrap=e.REPEAT;var m=new v(e,r,o,s,l,d);return m.update(t),m};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"gl-texture2d\"),o=new Uint8Array(4),s=new Float32Array(o.buffer);var l=t(\"binary-search-bounds\"),c=t(\"ndarray\"),u=t(\"./lib/shaders\"),f=u.createShader,h=u.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function m(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function v(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var y=v.prototype;y.isTransparent=function(){return this.hasAlpha},y.isOpaque=function(){return!this.hasAlpha},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:m(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:m(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;\"dashScale\"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,u=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],m=t.lineWidth||1,g=!1;t:for(e=1;e<h.length;++e){var v,y,x,b=h[e-1],_=h[e];for(a.push(s),o.push(b.slice()),r=0;r<3;++r){if(isNaN(b[r])||isNaN(_[r])||!isFinite(b[r])||!isFinite(_[r])){if(!n&&i.length>0){for(var w=0;w<24;++w)i.push(i[i.length-12]);u+=2,g=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(v=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],y=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):v=y=p,3===v.length&&(v=[v[0],v[1],v[2],1]),3===y.length&&(y=[y[0],y[1],y[2],1]),!this.hasAlpha&&v[3]<1&&(this.hasAlpha=!0),x=Array.isArray(m)?m.length>e-1?m[e-1]:m.length>0?m[m.length-1]:[0,0,0,1]:m;var T=s;if(s+=d(b,_),g){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3]);u+=2,g=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,v[0],v[1],v[2],v[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,y[0],y[1],y[2],y[3]),u+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=u,this.points=o,this.arcLength=a,\"dashes\"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e<k.length;++e)k[e]=k[e-1]+k[e];var A=c(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(r=0;r<4;++r)A.set(e,0,r,0);1&l.le(k,k[k.length-1]*e/255)?A.set(e,0,0,0):A.set(e,0,0,255)}this.texture.setPixels(A)}},y.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=function(t,e,r,n){return o[0]=n,o[1]=r,o[2]=e,o[3]=t,s[0]}(t.value[0],t.value[1],t.value[2],0),r=l.le(this.arcLength,e);if(r<0)return null;if(r===this.arcLength.length-1)return new g(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],a=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),c=1-a,u=[0,0,0],f=0;f<3;++f)u[f]=c*n[f]+a*i[f];var h=Math.min(a<.5?r:r+1,this.points.length-1);return new g(e,u,h,this.points[h])}},{\"./lib/shaders\":90,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259}],92:[function(t,e,r){e.exports=function(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}},{}],93:[function(t,e,r){e.exports=function(){var t=new Float32Array(16);return 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t[0]=1-(p+m),t[1]=f+y,t[2]=h-v,t[3]=0,t[4]=f-y,t[5]=1-(u+m),t[6]=d+g,t[7]=0,t[8]=h+v,t[9]=d-g,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],97:[function(t,e,r){e.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],98:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],f=e[9],h=e[10],p=e[11],d=e[12],m=e[13],g=e[14],v=e[15],y=r*s-n*o,x=r*l-i*o,b=r*c-a*o,_=n*l-i*s,w=n*c-a*s,T=i*c-a*l,k=u*m-f*d,A=u*g-h*d,M=u*v-p*d,S=f*g-h*m,E=f*v-p*m,L=h*v-p*g,C=y*L-x*E+b*S+_*M-w*A+T*k;if(!C)return null;return C=1/C,t[0]=(s*L-l*E+c*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(m*T-g*w+v*_)*C,t[3]=(h*w-f*T-p*_)*C,t[4]=(l*M-o*L-c*A)*C,t[5]=(r*L-i*M+a*A)*C,t[6]=(g*b-d*T-v*x)*C,t[7]=(u*T-h*b+p*x)*C,t[8]=(o*E-s*M+c*k)*C,t[9]=(n*M-r*E-a*k)*C,t[10]=(d*w-m*b+v*y)*C,t[11]=(f*b-u*w-p*y)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(m*x-d*_-g*y)*C,t[15]=(u*_-f*x+h*y)*C,t}},{}],99:[function(t,e,r){var n=t(\"./identity\");e.exports=function(t,e,r,i){var a,o,s,l,c,u,f,h,p,d,m=e[0],g=e[1],v=e[2],y=i[0],x=i[1],b=i[2],_=r[0],w=r[1],T=r[2];if(Math.abs(m-_)<1e-6&&Math.abs(g-w)<1e-6&&Math.abs(v-T)<1e-6)return n(t);f=m-_,h=g-w,p=v-T,d=1/Math.sqrt(f*f+h*h+p*p),a=x*(p*=d)-b*(h*=d),o=b*(f*=d)-y*p,s=y*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0);l=h*s-p*o,c=p*a-f*s,u=f*o-h*a,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=c,t[6]=h,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(a*m+o*g+s*v),t[13]=-(l*m+c*g+u*v),t[14]=-(f*m+h*g+p*v),t[15]=1,t}},{\"./identity\":97}],100:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],m=e[12],g=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*m,t[1]=x*i+b*l+_*h+w*g,t[2]=x*a+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*m,t[5]=x*i+b*l+_*h+w*g,t[6]=x*a+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*m,t[9]=x*i+b*l+_*h+w*g,t[10]=x*a+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*m,t[13]=x*i+b*l+_*h+w*g,t[14]=x*a+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],101:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t}},{}],102:[function(t,e,r){e.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},{}],103:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S,E=n[0],L=n[1],C=n[2],P=Math.sqrt(E*E+L*L+C*C);if(Math.abs(P)<1e-6)return null;E*=P=1/P,L*=P,C*=P,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],f=e[4],h=e[5],p=e[6],d=e[7],m=e[8],g=e[9],v=e[10],y=e[11],x=E*E*o+a,b=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,T=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,M=L*C*o-E*i,S=C*C*o+a,t[0]=s*x+f*b+m*_,t[1]=l*x+h*b+g*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+f*T+m*k,t[5]=l*w+h*T+g*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*A+f*M+m*S,t[9]=l*A+h*M+g*S,t[10]=c*A+p*M+v*S,t[11]=u*A+d*M+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],104:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},{}],105:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},{}],106:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],f=e[6],h=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},{}],107:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],108:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o,s,l,c,u,f,h,p,d,m=r[0],g=r[1],v=r[2];e===t?(t[12]=e[0]*m+e[4]*g+e[8]*v+e[12],t[13]=e[1]*m+e[5]*g+e[9]*v+e[13],t[14]=e[2]*m+e[6]*g+e[10]*v+e[14],t[15]=e[3]*m+e[7]*g+e[11]*v+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*m+s*g+f*v+e[12],t[13]=i*m+l*g+h*v+e[13],t[14]=a*m+c*g+p*v+e[14],t[15]=o*m+u*g+d*v+e[15]);return t}},{}],109:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],110:[function(t,e,r){\"use strict\";var n=t(\"barycentric\"),i=t(\"polytope-closest-point/lib/closest_point_2d.js\");function a(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var i=0;i<4;++i)r[i]+=t[4*n+i]*e[n];return r}function o(t,e,r,n,i){for(var o=a(n,a(r,a(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*i[0]*(1+o[0]),.5*i[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var i=t[n],a=e[n],o=0;o<3;++o)r[o]+=a*i[o];return r}e.exports=function(t,e,r,a,l,c){if(1===t.length)return[0,t[0].slice()];for(var u=new Array(t.length),f=0;f<t.length;++f)u[f]=o(t[f],r,a,l,c);var h=0,p=1/0;for(f=0;f<u.length;++f){for(var d=0,m=0;m<2;++m)d+=Math.pow(u[f][m]-e[m],2);d<p&&(p=d,h=f)}var g=function(t,e){if(2===t.length){for(var r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return r=Math.sqrt(r),a=Math.sqrt(a),r+a<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),v=0;for(f=0;f<3;++f){if(g[f]<-.001||g[f]>1.0001)return null;v+=g[f]}if(Math.abs(v-1)>.001)return null;return[h,s(t,g),g]}},{barycentric:14,\"polytope-closest-point/lib/closest_point_2d.js\":270}],111:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n  } else {\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.pointShader={vertex:l,fragment:c,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},r.pickShader={vertex:u,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},r.pointPickShader={vertex:h,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},r.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},{glslify:231}],112:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"normals\"),l=t(\"gl-mat4/multiply\"),c=t(\"gl-mat4/invert\"),u=t(\"ndarray\"),f=t(\"colormap\"),h=t(\"simplicial-complex-contour\"),p=t(\"typedarray-pool\"),d=t(\"./lib/shaders\"),m=t(\"./lib/closest-point\"),g=d.meshShader,v=d.wireShader,y=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=v,this.edgeIds=m,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function S(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function E(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function C(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function P(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var c=r[l],u=0;u<2;++u){var f=c[0];2===c.length&&(f=c[u]);for(var d=n[f][0],m=n[f][1],g=i[f],v=1-g,y=this.positions[d],x=this.positions[m],b=0;b<3;++b)o[s++]=g*y[b]+v*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=f({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3]}return u(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],c=[],h=[],p=[],d=[],m=[],g=[],v=[],y=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,I=t.cellUVs,O=t.cellIntensity,z=1/0,D=-1/0;if(!C&&!I)if(P)if(t.vertexIntensityBounds)z=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];z=Math.min(z,F),D=Math.max(D,F)}else if(O)if(t.cellIntensityBounds)z=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<O.length;++R){F=O[R];z=Math.min(z,F),D=Math.max(D,F)}else for(R=0;R<n.length;++R){F=n[R][2];z=Math.min(z,F),D=Math.max(D,F)}this.intensity=P||(O||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n)),this.pickVertex=!(O||E);var B=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,H=0,q=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;v.push(j[0],j[1],j[2]),Z=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(Z[0],Z[1],Z[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===Z.length?y.push(Z[0],Z[1],Z[2],this.opacity):(y.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)),X=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],x.push(X[0],X[1]),B?b.push(B[W]):b.push(N),_.push(R),q+=1;break;case 2:for(U=0;U<2;++U){j=n[W=G[U]];for(var Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t}for(U=0;U<2;++U){j=n[W=G[U]];p.push(j[0],j[1],j[2]),Z=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(Z[0],Z[1],Z[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===Z.length?d.push(Z[0],Z[1],Z[2],this.opacity):(d.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)),X=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],m.push(X[0],X[1]),g.push(R)}H+=1;break;case 3:for(U=0;U<3;++U)for(j=n[W=G[U]],Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t;for(U=0;U<3;++U){var W,Z,X,J;j=n[W=G[2-U]];i.push(j[0],j[1],j[2]),(Z=S?S[W]:E?E[R]:L)?this.opacityscale&&P?a.push(Z[0],Z[1],Z[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===Z.length?a.push(Z[0],Z[1],Z[2],this.opacity):(a.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),X=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],c.push(X[0],X[1]),J=w?w[W]:T[R],l.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=q,this.edgeCount=H,this.triangleCount=V,this.pointPositions.update(v),this.pointColors.update(y),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(m),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);l(u,s.view,s.model),l(u,s.projection,u),c(u,u);for(o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var f,h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};((s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0)&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],c=this.positions[r[1]],u=this.positions[r[2]],f=[(l[0]+c[0]+u[0])/3,(l[1]+c[1]+u[1])/3,(l[2]+c[2]+u[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=m(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},e.exports=function(t,e){1===arguments.length&&(t=(e=t).gl);var r=t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\");if(!r)throw new Error(\"derivatives not supported\");var n=M(t),s=S(t),l=E(t),c=L(t),f=C(t),h=P(t),p=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),m=i(t),g=i(t),v=i(t),y=i(t),x=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:v,type:t.FLOAT,size:3}]),b=i(t),_=i(t),w=i(t),k=i(t),A=a(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:k,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),I=i(t),O=i(t),z=i(t),D=i(t),R=i(t),F=a(t,[{buffer:I,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:O,type:t.FLOAT,size:4},{buffer:z,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=i(t),N=a(t,[{buffer:B,type:t.FLOAT,size:3}]),j=new T(t,p,n,s,l,c,f,h,d,y,m,g,v,x,b,k,_,w,A,I,R,O,z,D,F,B,N);return j.update(e),j}},{\"./lib/closest-point\":110,\"./lib/shaders\":111,colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-shader\":132,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259,normals:261,\"simplicial-complex-contour\":291,\"typedarray-pool\":308}],113:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[0,0,0,1,1,0,1,1]),s=i(e,a.boxVert,a.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,c=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"gl-buffer\":78,\"gl-shader\":132}],114:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,o.gridVert,o.gridFrag),l=i(e,o.tickVert,o.gridFrag);return new s(t,r,a,l)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"binary-search-bounds\"),o=t(\"./shaders\");function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var c,u,f,h,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,m=0;m<2;++m){var g=a[m],v=a[m+2]-g,y=.5*(o[m+2]+o[m]),x=o[m+2]-o[m];u[m]=2*v/x,c[m]=2*(g-y)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var b=0;for(m=0;m<2;++m){f[0]=f[1]=0,f[m]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[m]/(s[m+2]-s[m])*d,r.uniforms.color=h[m];var _=6*n[m].length;p[m]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,m=s.viewBox,g=s.pixelRatio,v=s.screenBox,y=v[2]-v[0],x=v[3]-v[1],b=m[2]-m[0],_=m[3]-m[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=b/y,t[0]*=b/y,e[1]*=_/x,t[1]*=_/x,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,I=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),O=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),z=0+6*I,D=6*Math.max(0,O-I),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(m[0]-E[1])/y-1,i[1]=(m[3]+m[1])/x-1,o[0]=E[1]*g/y,o[1]=L[1]*g/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(m[2]+m[0])/y-1,i[1]=2*(m[1]-E[0])/x-1,o[0]=L[0]*g/y,o[1]=E[0]*g/x,D&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D)),i[0]=2*(m[2]+E[3])/y-1,i[1]=(m[3]+m[1])/x-1,o[0]=E[3]*g/y,o[1]=L[3]*g/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(m[2]+m[0])/y-1,i[1]=2*(m[3]+E[2])/x-1,o[0]=L[2]*g/y,o[1]=E[2]*g/x,D&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],c=r[o],u=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-c)/(u-c);s.push(d);for(var m=0;m<6;++m)n[i++]=d,n[i++]=h[m],n[i++]=p[m]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{\"./shaders\":116,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132}],115:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[-1,-1,-1,1,1,-1,1,1]),s=i(e,a.lineVert,a.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=i*o.pixelRatio,c.uniforms.color=a,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"gl-buffer\":78,\"gl-shader\":132}],116:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);e.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:i,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:i,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:i,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},{glslify:231}],117:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,s.textVert,s.textFrag);return new l(t,r,a)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"text-cache\"),o=t(\"binary-search-bounds\"),s=t(\"./shaders\");function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var c,u,f,h,p,d,m=l.prototype;m.drawTicks=(c=[0,0],u=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,m=e.tickPad,g=e.tickColor,v=e.tickAngle,y=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];u[1^t]=M*s[1^t]-1,d[t]&&(u[1^t]-=M*p*m[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t],r.uniforms.angle=v[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t]&&T&&(u[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),u[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=M*p*m[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t+2],r.uniforms.angle=v[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t+2]&&T&&(u[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),m.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-a[u])/(a[2+u]-a[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),m.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],f=a[o],m=a[o+2]-f,g=i[o],v=i[o+2]-g;p[o]=2*l/u*m/v,h[o]=2*(s-c)/u*m/v}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),m.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,m=p.text,g=p.font||\"sans-serif\";i=p.fontSize||12;for(var v=1/(c[o+2]-c[o]),y=c[o],x=m.split(\"\\n\"),b=0;b<x.length;b++)for(n=a(g,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-y)*v);u.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=u,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{textAlign:\"center\"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},m.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132,\"text-cache\":303}],118:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[e.drawingBufferWidth,e.drawingBufferHeight]),c=new l(e,r);return c.grid=i(c),c.text=a(c),c.line=o(c),c.box=s(c),c.update(t),c};var n=t(\"gl-select-static\"),i=t(\"./lib/grid\"),a=t(\"./lib/text\"),o=t(\"./lib/line\"),s=t(\"./lib/box\");function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var c=l.prototype;function u(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var m=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(m,e[1],m,e[3],p[d],h[d]):o.drawLine(e[0],m,e[2],m,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,v=this.borderLineWidth,y=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*v[1]*i,r[0],r[3]+.5*v[3]*i,v[1],y[1]),g[0]&&o.drawLine(r[0]-.5*v[0]*i,r[1],r[2]+.5*v[2]*i,r[1],v[0],y[0]),g[3]&&o.drawLine(r[2],r[1]-.5*v[1]*i,r[2],r[3]+.5*v[3]*i,v[3],y[3]),g[2]&&o.drawLine(r[0]-.5*v[0]*i,r[3],r[2]+.5*v[2]*i,r[3],v[2],y[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},c.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var f=c[u].pick(a,o,l);if(f)return f}return null}},c.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},c.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},c.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},c.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=u(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=u(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=u(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=u(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=u(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},c.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},c.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{\"./lib/box\":113,\"./lib/grid\":114,\"./lib/line\":115,\"./lib/text\":117,\"gl-select-static\":131}],119:[function(t,e,r){\"use strict\";e.exports=function(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];\"distanceLimits\"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]);\"zoomMin\"in e&&(r[0]=e.zoomMin);\"zoomMax\"in e&&(r[1]=e.zoomMax);var c=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:c,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:c.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;c.idle(e-r),c.recalcMatrix(i),c.flush(e-(100+2*r));for(var a=!0,o=c.computedMatrix,s=0;s<16;++s)a=a&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(c.computedRadius[0]),!0)},lookAt:function(t,e,r){c.lookAt(c.lastT(),t,e,r)},rotate:function(t,e,r){c.rotate(c.lastT(),t,e,r)},pan:function(t,e,r){c.pan(c.lastT(),t,e,r)},translate:function(t,e,r){c.translate(c.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),r=c.computedEye.slice(),i=c.computedCenter.slice();if(c.setMode(t),\"turntable\"===t){var a=n();c._active.lookAt(a,r,i,e),c._active.lookAt(a+500,r,i,[0,0,1]),c._active.flush(a)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(r)},set:function(t){return c.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,u=\"zoom\"===o,h=!!a.control,p=!!a.alt,m=!!a.shift,g=!!(1&e),v=!!(2&e),y=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&g&&!h&&!p&&!m||g&&!h&&!p&&m)&&c.rotate(A,w*k*b,-T*k*_,0),(l&&g&&!h&&!p&&!m||v||g&&h&&!p&&!m)&&c.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),u&&g&&!h&&!p&&!m||y||g&&!h&&p&&!m)){var M=-d.zoomSpeed*_/window.innerHeight*(A-c.lastT())*100;c.pan(A,0,0,f*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener(\"touchstart\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener(\"touchmove\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchend\",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))c.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-c.lastT())/20;c.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=t(\"right-now\"),i=t(\"3d-view\"),a=t(\"mouse-change\"),o=t(\"mouse-wheel\"),s=t(\"mouse-event-offset\"),l=t(\"has-passive-events\")},{\"3d-view\":7,\"has-passive-events\":232,\"mouse-change\":247,\"mouse-event-offset\":248,\"mouse-wheel\":250,\"right-now\":278}],120:[function(t,e,r){var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);e.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},{\"gl-shader\":132,glslify:231}],121:[function(t,e,r){\"use strict\";var n=t(\"./camera.js\"),i=t(\"gl-axes3d\"),a=t(\"gl-axes3d/properties\"),o=t(\"gl-spikes3d\"),s=t(\"gl-select-static\"),l=t(\"gl-fbo\"),c=t(\"a-big-triangle\"),u=t(\"mouse-change\"),f=t(\"gl-mat4/perspective\"),h=t(\"gl-mat4/ortho\"),p=t(\"./lib/shader\"),d=t(\"is-mobile\")({tablet:!0,featureDetect:!0});function m(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function v(t){return\"boolean\"!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;if(!e){if(e=document.createElement(\"canvas\"),t.container)t.container.appendChild(e);else document.body.appendChild(e)}var r=t.gl;r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d}));if(!r)throw new Error(\"webgl not supported\");var y=t.bounds||[[-10,-10,-10],[10,10,10]],x=new m,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],I=!0,O=!0,z=new Array(16),D=new Array(16),R={view:null,projection:z,model:D,_ortho:!1},F=(O=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),B=t.cameraObject||n(e,T),N={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:B,axes:A,axesPixels:null,spikes:S,bounds:y,objects:E,shape:F,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:v(t.autoResize),autoBounds:v(t.autoBounds),autoScale:!!t.autoScale,autoCenter:v(t.autoCenter),clipToBounds:v(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:R,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,O=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},j=[r.drawingBufferWidth/N.pixelRatio|0,r.drawingBufferHeight/N.pixelRatio|0];function U(){if(!N._stopped&&N.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*N.pixelRatio),a=0|Math.ceil(n*N.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",I=!0}}}N.autoResize&&U();function V(){for(var t=E.length,e=P.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,F);L[n]=e,P.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),P.pop().dispose()}function H(){if(N.contextLost)return!0;r.isContextLost()&&(N.contextLost=!0,N.mouseListener.enabled=!1,N.selection.object=null,N.oncontextloss&&N.oncontextloss())}window.addEventListener(\"resize\",U),N.update=function(t){N._stopped||(t=t||{},I=!0,O=!0)},N.add=function(t){N._stopped||(t.axes=A,E.push(t),L.push(-1),I=!0,O=!0,V())},N.remove=function(t){if(!N._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),I=!0,O=!0,V())}},N.dispose=function(){if(!N._stopped&&(N._stopped=!0,window.removeEventListener(\"resize\",U),e.removeEventListener(\"webglcontextlost\",H),N.mouseListener.enabled=!1,!N.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();b.dispose();for(t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},N._mouseRotating=!1,N._prevButtons=0,N.enableMouseListeners=function(){N.mouseListener=u(e,(function(t,e,r){if(!N._stopped){var n=P.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&N._prevButtons)N._mouseRotating=!0;else{N._mouseRotating&&(O=!0),N._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,j[1]-r-1,N.pickRadius);if(l){if(l.distance>x.distance)continue;for(var c=0;c<i;++c){var u=E[c];if(L[c]===s){var f=u.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=u,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),I=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),I=!0),(o=o||x.object!==a)&&N.onselect&&N.onselect(x),1&t&&!(1&N._prevButtons)&&N.onclick&&N.onclick(x),N._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",H);var q=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],G=[q[0].slice(),q[1].slice()];function Y(){if(!H()){U();var t=N.camera.tick();R.view=N.camera.matrix,I=I||t,O=O||t,A.pixelRatio=N.pixelRatio,S.pixelRatio=N.pixelRatio;var e=E.length,n=q[0],i=q[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=N.pixelRatio,C.axes=N.axes,I=I||!!C.dirty,O=O||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],u[p])}var d=N.bounds;if(N.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var m=.05*(i[p]-n[p]);n[p]=n[p]-m,i[p]=i[p]+m}d[0][p]=n[p],d[1][p]=i[p]}var v=!1;for(p=0;p<3;++p)v=v||G[0][p]!==d[0][p]||G[1][p]!==d[1][p],G[0][p]=d[0][p],G[1][p]=d[1][p];if(O=O||v,I=I||v){if(v){var y=[0,0,0];for(o=0;o<3;++o)y[o]=g((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:y}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;F[0]=T,F[1]=k,j[0]=0|Math.max(T/N.pixelRatio,1),j[1]=0|Math.max(k/N.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,c=t.zFar,u=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,c),n._ortho=!0):(f(i,u,p,l,c),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var m=0;for(d=0;d<3;++d)m=Math.max(m,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/m,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(N,w);for(o=0;o<e;++o){(C=E[o]).axesBounds=d,N.clipToBounds&&(C.clipBounds=d)}x.object&&(N.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),O&&(O=!1,function(){if(!H()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=j,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(R))}i.end()}}}()),N.axesPixels=a(N.axes,R,T,k),N.onrender&&N.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),N.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;A.enable&&(M=M||A.isTransparent(),A.draw(R)),S.axes=A,x.object&&S.draw(R),r.disable(r.CULL_FACE);for(o=0;o<e;++o){(C=E[o]).axes=A,C.pixelRatio=N.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(R),C.isTransparent&&C.isTransparent()&&(M=!0)}if(M){b.shape=F,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(R);for(o=0;o<e;++o){(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(R)}r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(R);for(o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(R)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,c(r),r.disable(r.BLEND)}I=!1;for(o=0;o<e;++o)E[o].dirty=!1}}}return N.enableMouseListeners(),function t(){if(N._stopped||N.contextLost)return;Y(),requestAnimationFrame(t)}(),N.redraw=function(){N._stopped||(I=!0,Y())},N},createCamera:n}},{\"./camera.js\":119,\"./lib/shader\":120,\"a-big-triangle\":8,\"gl-axes3d\":70,\"gl-axes3d/properties\":77,\"gl-fbo\":86,\"gl-mat4/ortho\":101,\"gl-mat4/perspective\":102,\"gl-select-static\":131,\"gl-spikes3d\":141,\"is-mobile\":238,\"mouse-change\":247}],122:[function(t,e,r){var n=t(\"glslify\");r.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),r.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),r.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),r.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},{glslify:231}],123:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"typedarray-pool\"),o=t(\"./lib/shader\");function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}e.exports=function(t,e){var r=t.gl,a=i(r),l=i(r),c=n(r,o.pointVertex,o.pointFragment),u=n(r,o.pickVertex,o.pickFragment),f=new s(t,a,l,c,u);return f.update(e),t.addObject(f),f};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),c=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),i||a.free(l),o||a.free(c),this.pointCount=n,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},{\"./lib/shader\":122,\"gl-buffer\":78,\"gl-shader\":132,\"typedarray-pool\":308}],124:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c=e[0],u=e[1],f=e[2],h=e[3],p=r[0],d=r[1],m=r[2],g=r[3];(a=c*p+u*d+f*m+h*g)<0&&(a=-a,p=-p,d=-d,m=-m,g=-g);1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n);return t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*f+l*m,t[3]=s*h+l*g,t}},{}],125:[function(t,e,r){\"use strict\";e.exports=function(t){return t||0===t?t.toString():\"\"}},{}],126:[function(t,e,r){\"use strict\";var n=t(\"vectorize-text\");e.exports=function(t,e,r){var a=i[e];a||(a=i[e]={});if(t in a)return a[t];var o={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,c,u=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(c=0;c<s.positions[l].length;++c)s.positions[l][c]/=r;for(l=0;l<u.positions.length;++l)for(c=0;c<u.positions[l].length;++c)u.positions[l][c]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=u.positions.length;for(l=0;l<h;++l){var p=u.positions[l];for(c=0;c<2;++c)f[0][c]=Math.min(f[0][c],p[c]),f[1][c]=Math.max(f[1][c],p[c])}return a[t]=[s,u,f]};var i={}},{\"vectorize-text\":311}],127:[function(t,e,r){var n=t(\"gl-shader\"),i=t(\"glslify\"),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),c=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),u=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],f={vertex:a,fragment:l,attributes:u},h={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:a,fragment:c,attributes:u},m={vertex:o,fragment:c,attributes:u},g={vertex:s,fragment:c,attributes:u};function v(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}r.createPerspective=function(t){return v(t,f)},r.createOrtho=function(t){return v(t,h)},r.createProject=function(t){return v(t,p)},r.createPickPerspective=function(t){return v(t,d)},r.createPickOrtho=function(t){return v(t,m)},r.createPickProject=function(t){return v(t,g)}},{\"gl-shader\":132,glslify:231}],128:[function(t,e,r){\"use strict\";var n=t(\"is-string-blank\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"typedarray-pool\"),s=t(\"gl-mat4/multiply\"),l=t(\"./lib/shaders\"),c=t(\"./lib/glyphs\"),u=t(\"./lib/get-simple-string\"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function m(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,c,u,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}e.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),m=a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),v=new g(e,r,n,o,f,h,p,d,m,s,c,u);return v.update(t),v};var v=g.prototype;v.pickSlots=1,v.setPickBase=function(t){this.pickId=t},v.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},v.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var y=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function L(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||f,u=r.view||f,h=r.projection||f,d=e.axesBounds,m=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=h,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=m,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var v=T,L=0;L<16;++L)v[L]=0;for(L=0;L<4;++L)v[5*L]=1;v[5*g]=0,i[g]<0?v[12+g]=d[0][g]:v[12+g]=d[1][g],s(v,c,v),l.model=v;var C=(g+1)%3,P=(g+2)%3,I=M(x),O=M(b);I[C]=1,O[P]=1;var z=p(0,0,0,S(_,I)),D=p(0,0,0,S(w,O));if(Math.abs(z[1])>Math.abs(D[1])){var R=z;z=D,D=R,R=I,I=O,O=R;var F=C;C=P,P=F}z[0]<0&&(I[C]=-1),D[1]>0&&(O[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(c[4*C+L],2),N+=Math.pow(c[4*P+L],2);I[C]/=Math.sqrt(B),O[P]/=Math.sqrt(N),l.axes[0]=I,l.axes[1]=O,l.fragClipBounds[0]=E(k,m[0],g,-1e8),l.fragClipBounds[1]=E(k,m[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}var C=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function P(t,e,r,n,i,a,o){var s=r.gl;if((a===r.projectHasAlpha||o)&&L(e,r,n,i),a===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||f,l.view=n.view||f,l.projection=n.projection||f,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=C,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=i,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth>0&&(s.lineWidth(r.lineWidth*i),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function I(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=u(a);var o=!0;n(a)&&(a=\"\\u25bc\",o=!1);var s=c(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}v.draw=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},v.drawTransparent=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},v.drawPick=function(t){P(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},v.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},v.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},v.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{r=+t.projectOpacity;this.projectOpacity=[r,r,r]}for(var n=0;n<3;++n)this.projectOpacity[n]=m(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=m(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||\"normal\",c=t.alignment||[0,0];if(2===c.length)i=c[0],a=c[1];else{i=[],a=[];for(n=0;n<c.length;++n)i[n]=c[n][0],a[n]=c[n][1]}var u=[1/0,1/0,1/0],f=[-1/0,-1/0,-1/0],h=t.glyph,p=t.color,d=t.size,g=t.angle,v=t.lineColor,y=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],T=0;T<3;++T)if(isNaN(w[T])||!isFinite(w[T]))continue t;var k=(N=I(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;x+=3*k.cells.length,b+=2*A.edges.length}}var S=x+b,E=o.mallocFloat(3*S),L=o.mallocFloat(4*S),C=o.mallocFloat(2*S),P=o.mallocUint32(S);if(S>0){var O=0,z=x,D=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(v)&&Array.isArray(v[0]);t:for(n=0;n<_;++n){y+=1;for(w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T])}k=(N=I(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(T=0;T<3;++T)D[T]=U[T];D[3]=1}else if(4===U.length){for(T=0;T<4;++T)D[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else D[0]=D[1]=D[2]=0,D[3]=1;else D=[1,1,1,0];if(j)if(Array.isArray(v)){var U;if(3===(U=B?n<v.length?v[n]:[0,0,0,0]:v).length){for(T=0;T<3;++T)R[T]=U[T];R[T]=1}else if(4===U.length){for(T=0;T<4;++T)R[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];var V=.5;j?Array.isArray(d)?V=n<d.length?+d[n]:12:d?V=+d:this.useOrtho&&(V=12):V=0;var H=0;Array.isArray(g)?H=n<g.length?+g[n]:0:g&&(H=+g);var q=Math.cos(H),G=Math.sin(H);for(w=s[n],T=0;T<3;++T)f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T]);var Y=i,W=a;Y=0;Array.isArray(i)?Y=n<i.length?i[n]:0:i&&(Y=i);W=0;Array.isArray(a)?W=n<a.length?a[n]:0:a&&(W=a);var Z=[Y*=Y>0?1-M[0][0]:Y<0?1+M[1][0]:1,W*=W>0?1-M[0][1]:W<0?1+M[1][1]:1],X=k.cells||[],J=k.positions||[];for(T=0;T<X.length;++T)for(var K=X[T],Q=0;Q<3;++Q){for(var $=0;$<3;++$)E[3*O+$]=w[$];for($=0;$<4;++$)L[4*O+$]=D[$];P[O]=y;var tt=J[K[Q]];C[2*O]=V*(q*tt[0]-G*tt[1]+Z[0]),C[2*O+1]=V*(G*tt[0]+q*tt[1]+Z[1]),O+=1}for(X=A.edges,J=A.positions,T=0;T<X.length;++T)for(K=X[T],Q=0;Q<2;++Q){for($=0;$<3;++$)E[3*z+$]=w[$];for($=0;$<4;++$)L[4*z+$]=R[$];P[z]=y;tt=J[K[Q]];C[2*z]=V*(q*tt[0]-G*tt[1]+Z[0]),C[2*z+1]=V*(G*tt[0]+q*tt[1]+Z[1]),z+=1}}}this.bounds=[u,f],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(C),this.idBuffer.update(P),o.free(E),o.free(L),o.free(C),o.free(P)},v.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},{\"./lib/get-simple-string\":125,\"./lib/glyphs\":126,\"./lib/shaders\":127,\"gl-buffer\":78,\"gl-mat4/multiply\":100,\"gl-vao\":150,\"is-string-blank\":239,\"typedarray-pool\":308}],129:[function(t,e,r){\"use strict\";var n=t(\"glslify\");r.boxVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid main() {\\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\n}\\n\"]),r.boxFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = color;\\n}\\n\"])},{glslify:231}],130:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"./lib/shaders\");function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}e.exports=function(t,e){var r=t.gl,s=i(r,[0,0,0,1,1,0,1,1]),l=n(r,a.boxVertex,a.boxFragment),c=new o(t,s,l);return c.update(e),t.addOverlay(c),c};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,c=t.viewBox,u=t.pixelRatio,f=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],h=(e[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],p=(e[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(e[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(f=Math.max(f,c[0]),h=Math.max(h,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p<f||d<h)){o.bind();var m=s[2]-s[0],g=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,m,h,i),o.drawBox(0,h,f,d,i),o.drawBox(0,d,m,g,i),o.drawBox(p,h,m,d,i)),this.innerFill&&o.drawBox(f,h,p,d,n),r>0){var v=r*u;o.drawBox(f-v,h-v,p+v,h+v,a),o.drawBox(f-v,d-v,p+v,d+v,a),o.drawBox(f-v,h-v,f+v,d+v,a),o.drawBox(p-v,h-v,p+v,d+v,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{\"./lib/shaders\":129,\"gl-buffer\":78,\"gl-shader\":132}],131:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=e[0],a=e[1],o=n(t,r,a,{}),s=i.mallocUint8(r*a*4);return new l(t,o,s)};var n=t(\"gl-fbo\"),i=t(\"typedarray-pool\"),a=t(\"ndarray\"),o=t(\"bit-twiddle\").nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}var c=l.prototype;Object.defineProperty(c,\"shape\",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){i.free(this.buffer);for(var n=this.buffer=i.mallocUint8(o(r*e*4)),a=0;a<r*e*4;++a)n[a]=255}return t}}}),c.begin=function(){var t=this.gl;this.shape;t&&(this.fbo.bind(),t.clearColor(1,1,1,1),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT))},c.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},c.query=function(t,e,r){if(!this.gl)return null;var n=this.fbo.shape.slice();t|=0,e|=0,\"number\"!=typeof r&&(r=1);var i=0|Math.min(Math.max(t-r,0),n[0]),o=0|Math.min(Math.max(t+r,0),n[0]),l=0|Math.min(Math.max(e-r,0),n[1]),c=0|Math.min(Math.max(e+r,0),n[1]);if(o<=i||c<=l)return null;var u=[o-i,c-l],f=a(this.buffer,[u[0],u[1],4],[4,4*n[0],1],4*(i+n[0]*l)),h=function(t,e,r){for(var n=1e8,i=-1,a=-1,o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++){var u=t.get(l,c,0),f=t.get(l,c,1),h=t.get(l,c,2),p=t.get(l,c,3);if(u<255||f<255||h<255||p<255){var d=e-l,m=r-c,g=d*d+m*m;g<n&&(n=g,i=l,a=c)}}return[i,a,n]}(f.hi(u[0],u[1],1),r,r),p=h[0],d=h[1];return p<0||Math.pow(this.radius,2)<h[2]?null:new s(p+i|0,d+l|0,f.get(p,d,0),[f.get(p,d,1),f.get(p,d,2),f.get(p,d,3)],Math.sqrt(h[2]))},c.dispose=function(){this.gl&&(this.fbo.dispose(),i.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},{\"bit-twiddle\":32,\"gl-fbo\":86,ndarray:259,\"typedarray-pool\":308}],132:[function(t,e,r){\"use strict\";var n=t(\"./lib/create-uniforms\"),i=t(\"./lib/create-attributes\"),a=t(\"./lib/reflect\"),o=t(\"./lib/shader-cache\"),s=t(\"./lib/runtime-reflect\"),l=t(\"./lib/GLError\");function c(t){this.gl=t,this.gl.lastAttribCount=0,this._vref=this._fref=this._relink=this.vertShader=this.fragShader=this.program=this.attributes=this.uniforms=this.types=null}var u=c.prototype;function f(t,e){return t.name<e.name?-1:1}u.bind=function(){var t;this.program||this._relink();var e=this.gl.getProgramParameter(this.program,this.gl.ACTIVE_ATTRIBUTES),r=this.gl.lastAttribCount;if(e>r)for(t=r;t<e;t++)this.gl.enableVertexAttribArray(t);else if(r>e)for(t=e;t<r;t++)this.gl.disableVertexAttribArray(t);this.gl.lastAttribCount=e,this.gl.useProgram(this.program)},u.dispose=function(){for(var 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w=c[y];if(w.type.indexOf(\"mat\")>=0){for(var T=0|w.type.charAt(w.type.length-1),k=new Array(T),A=0;A<T;++A)k[A]=_.length,b.push(w.name+\"[\"+A+\"]\"),\"number\"==typeof w.location?_.push(w.location+A):Array.isArray(w.location)&&w.location.length===T&&\"number\"==typeof w.location[A]?_.push(0|w.location[A]):_.push(-1);x.push({name:w.name,type:w.type,locations:k})}else x.push({name:w.name,type:w.type,locations:[_.length]}),b.push(w.name),\"number\"==typeof w.location?_.push(0|w.location):_.push(-1)}var M=0;for(y=0;y<_.length;++y)if(_[y]<0){for(;_.indexOf(M)>=0;)M+=1;_[y]=M}var S=new Array(r.length);function E(){h.program=o.program(p,h._vref,h._fref,b,_);for(var t=0;t<r.length;++t)S[t]=p.getUniformLocation(h.program,r[t].name)}E(),h._relink=E,h.types={uniforms:a(r),attributes:a(c)},h.attributes=i(p,h,x,_),Object.defineProperty(h,\"uniforms\",n(p,h,r,S))},e.exports=function(t,e,r,n,i){var a=new c(t);return 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h=c,p=u,d=0;d<3;++d)i&&i[d]<0?(h[d]=this.bounds[0][d],p[d]=this.bounds[1][d]):(h[d]=this.bounds[1][d],p[d]=this.bounds[0][d]);f[0]=e.drawingBufferWidth,f[1]=e.drawingBufferHeight,n.uniforms.model=a,n.uniforms.view=s,n.uniforms.projection=l,n.uniforms.coordinates=[this.position,h,p],n.uniforms.colors=this.colors,n.uniforms.screenShape=f;for(d=0;d<3;++d)n.uniforms.lineWidth=this.lineWidth[d]*this.pixelRatio,this.enabled[d]&&(r.draw(e.TRIANGLES,6,6*d),this.drawSides[d]&&r.draw(e.TRIANGLES,12,18+12*d));r.unbind()},l.update=function(t){t&&(\"bounds\"in t&&(this.bounds=t.bounds),\"position\"in t&&(this.position=t.position),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"colors\"in t&&(this.colors=t.colors),\"enabled\"in t&&(this.enabled=t.enabled),\"drawSides\"in t&&(this.drawSides=t.drawSides))},l.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders/index\":140,\"gl-buffer\":78,\"gl-vao\":150}],142:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * tubePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * view * tubePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},{glslify:231}],143:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\"),i=t(\"gl-vec4\"),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++)o=Math.max(o,n.length(l[c]));var u=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],f=[],h=[],p=[],d=[],m=0,g=0,v=i.create(),y=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(_)/a,v=i.create(),n.copy(v,_),v[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;c.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(y,v,v,v,y,y),d.push(m,g,g,g,m,m);var A=c.length;u.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=y;y=v,v=S;var E=m;m=g,g=E}return{positions:c,cells:u,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<u.length;s++){var m=u[s],g=f.length;f=f.concat(m.positions),p=p.concat(m.vectors),d=d.concat(m.vertexIntensity);for(c=0;c<m.cells.length;c++){var v=m.cells[c],y=[];h.push(y);for(var x=0;x<v.length;x++)y.push(v[x]+g)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}},s=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},l=function(t,e,r){return t<e?e:t>r?r:t},c=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};e.exports=function(t,e){var r=t.startingPositions,i=t.maxLength||1e3,u=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||\"+x+y+z\",p={};-1!==h.indexOf(\"-x\")&&(p.reversedX=!0),-1!==h.indexOf(\"-y\")&&(p.reversedY=!0),-1!==h.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,o=t[0],c=t[1],u=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=s(a[0],o),m=s(a[1],c),g=s(a[2],u),v=d+1,y=m+1,x=g+1;if(d=l(d,0,f-1),v=l(v,0,f-1),m=l(m,0,h-1),y=l(y,0,h-1),g=l(g,0,p-1),x=l(x,0,p-1),d<0||m<0||g<0||v>f-1||y>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][v],E=a[1][m],L=a[1][y],C=a[2][g],P=(o-M)/(S-M),I=(c-E)/(L-E),O=(u-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(I)||(I=.5),isFinite(O)||(O=.5),r.reversedX&&(d=f-1-d,v=f-1-v),r.reversedY&&(m=h-1-m,y=h-1-y),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=m*p,T=y*p,b=d*p*h,_=v*p*h;break;case 4:k=g,A=x,b=d*p,_=v*p,w=m*p*f,T=y*p*f;break;case 3:w=m,T=y,k=g*h,A=x*h,b=d*h*p,_=v*h*p;break;case 2:w=m,T=y,b=d*h,_=v*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=v,k=g*f,A=x*f,w=m*f*p,T=y*f*p;break;default:b=d,_=v,w=m*f,T=y*f,k=g*f*h,A=x*f*h}var z=i[b+w+k],D=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),H=n.create(),q=n.create(),G=n.create();n.lerp(V,z,B,P),n.lerp(H,D,N,P),n.lerp(q,R,j,P),n.lerp(G,F,U,P);var Y=n.create(),W=n.create();n.lerp(Y,V,q,I),n.lerp(W,H,G,I);var Z=n.create();return n.lerp(Z,Y,W,O),Z}(e,t,p)},m=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],v=e[0][0],y=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<v||e>b||r<y||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/i,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,l=0;l<s;l++){var u=t[l],f=u[0],h=u[1],p=u[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=c(e),m=c(r),g=c(n),v=Math.min(d,m,g);return isFinite(v)?v:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],I=[],O=d(C),z=C;I.push(O);var D=[],R=m(C,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),g.push({points:P,velocities:I,divergences:D});for(var B=0;B<100*i&&P.length<i&&T(C);){B++;var N=n.clone(O),j=n.squaredLength(N);if(0===j)break;if(j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),O=d(N),n.squaredDistance(z,N)-A>-1e-4*A){P.push(N),z=N,I.push(O);R=m(N,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F)}C=N}}var U=o(g,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*u*M/S),U};var u=t(\"./lib/shaders\"),f=t(\"gl-cone3d\").createMesh;e.exports.createTubeMesh=function(t,e){return f(t,e,{shaders:u,traceType:\"streamtube\"})}},{\"./lib/shaders\":142,\"gl-cone3d\":79,\"gl-vec3\":169,\"gl-vec4\":205}],144:[function(t,e,r){var n=t(\"gl-shader\"),i=t(\"glslify\"),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color \\u2014 in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);r.createShader=function(t){var e=n(t,a,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,a,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{\"gl-shader\":132,glslify:231}],145:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=y(e),n=b(e),s=x(e),l=_(e),c=i(e),u=a(e,[{buffer:c,size:4,stride:40,offset:0},{buffer:c,size:3,stride:40,offset:16},{buffer:c,size:3,stride:40,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),m=o(e,1,256,e.RGBA,e.UNSIGNED_BYTE);m.minFilter=e.LINEAR,m.magFilter=e.LINEAR;var g=new M(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,m,s,l,f,h,p,d,[0,0,0]),v={levels:[[],[],[]]};for(var w in t)v[w]=t[w];return v.colormap=v.colormap||\"jet\",g.update(v),g};var n=t(\"bit-twiddle\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"typedarray-pool\"),l=t(\"colormap\"),c=t(\"ndarray-ops\"),u=t(\"ndarray-pack\"),f=t(\"ndarray\"),h=t(\"surface-nets\"),p=t(\"gl-mat4/multiply\"),d=t(\"gl-mat4/invert\"),m=t(\"binary-search-bounds\"),g=t(\"ndarray-gradient\"),v=t(\"./lib/shaders\"),y=v.createShader,x=v.createContourShader,b=v.createPickShader,_=v.createPickContourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],k=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function A(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=k[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();function M(t,e,r,n,i,a,o,l,c,u,h,p,d,m,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new A([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=m,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var S=M.prototype;S.genColormap=function(t,e){var r=!1,n=u([l({colormap:t,nshades:256,format:\"rgba\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return c.divseq(n,255),this.hasAlphaScale=r,n},S.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},S.isOpaque=function(){return!this.isTransparent()},S.pickSlots=1,S.setPickBase=function(t){this.pickId=t};var E=[0,0,0],L={showSurface:!1,showContour:!1,projections:[w.slice(),w.slice(),w.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function C(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||E,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=L.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var c=L.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)c[i][n]=t.clipBounds[i][n];c[0][r]=-1e8,c[1][r]=1e8}return L.showSurface=o,L.showContour=s,L}var P={model:w,view:w,projection:w,inverseModel:w.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},I=w.slice(),O=[1,0,0,0,1,0,0,0,1];function z(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=P;n.model=t.model||w,n.view=t.view||w,n.projection=t.projection||w,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=O,n.vertexColor=this.vertexColor;var s=I;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var c=s[12+i];for(o=0;o<3;++o)c+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=c/l}var u=C(n,this);if(u.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[i],this._shader.uniforms.clipBounds=u.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=k[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=u.projections[i],f.uniforms.clipBounds=u.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=k[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var m=0;m<this.contourLevels[o].length;++m)m===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==m&&m-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][m]&&(f.uniforms.height=this.contourLevels[o][m],h.draw(r.LINES,this._contourCounts[o][m],this._contourOffsets[o][m]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=k[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=u.projections[o],f.uniforms.clipBounds=u.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}S.draw=function(t){return z.call(this,t,!1)},S.drawTransparent=function(t){return z.call(this,t,!0)};var D={model:w,view:w,projection:w,inverseModel:w,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function R(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function F(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function B(t){if(Array.isArray(t)){if(Array.isArray(t))return[F(t[0]),F(t[1]),F(t[2])];var e=F(t);return[e.slice(),e.slice(),e.slice()]}}S.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=D;r.model=t.model||w,r.view=t.view||w,r.projection=t.projection||w,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=O;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=C(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=k[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=k[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var c=0;c<this.contourLevels[a].length;++c)this._contourCounts[a][c]&&(s.uniforms.height=this.contourLevels[a][c],l.draw(e.LINES,this._contourCounts[a][c],this._contourOffsets[a][c]))}l.unbind()}},S.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var f=u?a:1-a,h=0;h<2;++h)for(var p=i+u,d=s+h,g=f*(h?l:1-l),v=0;v<3;++v)c[v]+=this._field[v].get(p,d)*g;for(var y=this._pickResult.level,x=0;x<3;++x)if(y[x]=m.le(this.contourLevels[x],c[x]),y[x]<0)this.contourLevels[x].length>0&&(y[x]=0);else if(y[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][y[x]],_=this.contourLevels[x][y[x]+1];Math.abs(b-c[x])>Math.abs(_-c[x])&&(y[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],v=0;v<3;++v)r.dataCoordinate[v]=this._field[v].get(r.index[0],r.index[1]);return r},S.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},S.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=R(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=R(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=R(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=B(t.contourColor)),\"contourProject\"in t&&(this.contourProject=R(t.contourProject,(function(t){return R(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=B(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=R(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=R(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0),\"colormap\"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var c=l[o];for(v=0;v<2;++v)if(c.shape[v]!==a[v])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],c)}}else if(t.ticks){var u=t.ticks;if(!Array.isArray(u)||2!==u.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=u[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var m=[0,0];m[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],m,0)}this._field[0].set(0,0,0);for(var v=0;v<a[0];++v)this._field[0].set(v+1,0,v);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),v=0;v<a[1];++v)this._field[1].set(0,v+1,v);this._field[1].set(0,a[1]+1,a[1]-1)}var y=this._field,x=f(s.mallocFloat(3*y[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),y[o],\"mirror\");var b=f(s.mallocFloat(3*y[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(v=0;v<a[1]+2;++v){var _=x.get(0,o,v,0),w=x.get(0,o,v,1),k=x.get(1,o,v,0),A=x.get(1,o,v,1),M=x.get(2,o,v,0),S=x.get(2,o,v,1),E=k*S-A*M,L=M*w-S*_,C=_*A-w*k,P=Math.sqrt(E*E+L*L+C*C);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,v,0,E*P),b.set(o,v,1,L*P),b.set(o,v,2,C*P)}s.free(x.data);var I=[1/0,1/0,1/0],O=[-1/0,-1/0,-1/0],z=1/0,D=-1/0,F=(a[0]-1)*(a[1]-1)*6,N=s.mallocFloat(n.nextPow2(10*F)),j=0,U=0;for(o=0;o<a[0]-1;++o)t:for(v=0;v<a[1]-1;++v){for(var V=0;V<2;++V)for(var H=0;H<2;++H)for(var q=0;q<3;++q){var G=this._field[q].get(1+o+V,1+v+H);if(isNaN(G)||!isFinite(G))continue t}for(q=0;q<6;++q){var Y=o+T[q][0],W=v+T[q][1],Z=this._field[0].get(Y+1,W+1),X=this._field[1].get(Y+1,W+1);G=this._field[2].get(Y+1,W+1),E=b.get(Y+1,W+1,0),L=b.get(Y+1,W+1,1),C=b.get(Y+1,W+1,2),t.intensity&&(J=t.intensity.get(Y,W));var J=t.intensity?t.intensity.get(Y,W):G+this.objectOffset[2];N[j++]=Y,N[j++]=W,N[j++]=Z,N[j++]=X,N[j++]=G,N[j++]=0,N[j++]=J,N[j++]=E,N[j++]=L,N[j++]=C,I[0]=Math.min(I[0],Z+this.objectOffset[0]),I[1]=Math.min(I[1],X+this.objectOffset[1]),I[2]=Math.min(I[2],G+this.objectOffset[2]),z=Math.min(z,J),O[0]=Math.max(O[0],Z+this.objectOffset[0]),O[1]=Math.max(O[1],X+this.objectOffset[1]),O[2]=Math.max(O[2],G+this.objectOffset[2]),D=Math.max(D,J),U+=1}}for(t.intensityBounds&&(z=+t.intensityBounds[0],D=+t.intensityBounds[1]),o=6;o<j;o+=10)N[o]=(N[o]-z)/(D-z);this._vertexCount=U,this._coordinateBuffer.update(N.subarray(0,j)),s.freeFloat(N),s.free(b.data),this.bounds=[I,O],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===z&&this.intensityBounds[1]===D||(r=!0),this.intensityBounds=[z,D]}if(\"levels\"in t){var K=t.levels;for(K=Array.isArray(K[0])?K.slice():[[],[],K],o=0;o<3;++o)K[o]=K[o].slice(),K[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(v=0;v<K[o].length;++v)K[o][v]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(K[o].length!==this.contourLevels[o].length){r=!0;break}for(v=0;v<K[o].length;++v)if(K[o][v]!==this.contourLevels[o][v]){r=!0;break t}}this.contourLevels=K}if(r){y=this._field,a=this.shape;for(var Q=[],$=0;$<3;++$){var tt=this.contourLevels[$],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[$],tt[o]);et.push(Q.length/5|0),U=0;t:for(v=0;v<it.cells.length;++v){var at=it.cells[v];for(q=0;q<2;++q){var ot=it.positions[at[q]],st=ot[0],lt=0|Math.floor(st),ct=st-lt,ut=ot[1],ft=0|Math.floor(ut),ht=ut-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var mt=($+dt+1)%3;for(V=0;V<2;++V){var gt=V?ct:1-ct;for(Y=0|Math.min(Math.max(lt+V,0),a[0]),H=0;H<2;++H){var vt=H?ht:1-ht;if(W=0|Math.min(Math.max(ft+H,0),a[1]),G=dt<2?this._field[mt].get(Y,W):(this.intensity.get(Y,W)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var yt=gt*vt;nt[dt]+=yt*G}}}if(pt){if(q>0){for(var xt=0;xt<5;++xt)Q.pop();U-=1}continue t}Q.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[$]=et,this._contourCounts[$]=rt}var bt=s.mallocFloat(Q.length);for(o=0;o<Q.length;++o)bt[o]=Q[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},S.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},S.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],f=this._field[l],p=this._field[c],d=h(u,r[o]),m=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<m.length;++e)for(var v=m[e],y=0;y<2;++y){var x=g[v[y]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,k=1-T,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,L=1-E,C=k*L,P=k*E,I=T*L,O=T*E,z=C*f.get(_,M)+P*f.get(_,S)+I*f.get(w,M)+O*f.get(w,S),D=C*p.get(_,M)+P*p.get(_,S)+I*p.get(w,M)+O*p.get(w,S);if(isNaN(z)||isNaN(D)){y&&(n-=1);break}a[2*n+0]=z,a[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},{\"./lib/shaders\":144,\"binary-search-bounds\":31,\"bit-twiddle\":32,colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259,\"ndarray-gradient\":252,\"ndarray-ops\":254,\"ndarray-pack\":255,\"surface-nets\":302,\"typedarray-pool\":308}],146:[function(t,e,r){\"use strict\";var n=t(\"ndarray\"),i=t(\"ndarray-ops\"),a=t(\"typedarray-pool\");e.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");o||c(t);if(\"number\"==typeof arguments[1])return v(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return v(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return y(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return x(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function c(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function u(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var f=function(t,e){i.muls(t,e,255)};function h(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function p(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var d=p.prototype;function m(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function g(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function v(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture shape\");if(i===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new p(t,o,e,r,n,i)}function y(t,e,r,n,i,a){var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new p(t,o,r,n,i,a)}function x(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=m(o,e.stride.slice()),c=0;\"float32\"===r?c=t.FLOAT:\"float64\"===r?(c=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?c=t.UNSIGNED_BYTE:(c=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var u,h,d=0;if(2===o.length)d=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])d=t.ALPHA;else if(2===o[2])d=t.LUMINANCE_ALPHA;else if(3===o[2])d=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");d=t.RGBA}}c!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(c=t.UNSIGNED_BYTE,l=!1);var v=e.size;if(l)u=0===e.offset&&e.data.length===v?e.data:e.data.subarray(e.offset,e.offset+v);else{var y=[o[2],o[2]*o[0],1];h=a.malloc(v,r);var x=n(h,o,y,0);\"float32\"!==r&&\"float64\"!==r||c!==t.UNSIGNED_BYTE?i.assign(x,e):f(x,e),u=h.subarray(0,v)}var b=g(t);return t.texImage2D(t.TEXTURE_2D,0,d,o[0],o[1],0,d,c,u),l||a.free(h),new p(t,b,o[0],o[1],d,c)}Object.defineProperties(d,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var 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+       "/*!\n",
+       " * Determine if an object is a Buffer\n",
+       " *\n",
+       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
+       " * @license  MIT\n",
+       " */\n",
+       "e.exports=function(t){return null!=t&&(n(t)||function(t){return\"function\"==typeof t.readFloatLE&&\"function\"==typeof t.slice&&n(t.slice(0,0))}(t)||!!t._isBuffer)}},{}],238:[function(t,e,r){\"use strict\";e.exports=a,e.exports.isMobile=a,e.exports.default=a;var n=/(android|bb\\d+|meego).+mobile|avantgo|bada\\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\\/|plucker|pocket|psp|series[46]0|symbian|treo|up\\.(browser|link)|vodafone|wap|windows (ce|phone)|xda|xiino/i,i=/(android|bb\\d+|meego).+mobile|avantgo|bada\\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\\/|plucker|pocket|psp|series[46]0|symbian|treo|up\\.(browser|link)|vodafone|wap|windows (ce|phone)|xda|xiino|android|ipad|playbook|silk/i;function a(t){t||(t={});var 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l=0;l<3;++l){for(var c=0,f=0;f<3;++f)c+=r[l+4*f]*i[f];r[12+l]=-c}},h.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r},h.idle=function(t){this.center.idle(t),this.radius.idle(t),this.rotation.idle(t)},h.flush=function(t){this.center.flush(t),this.radius.flush(t),this.rotation.flush(t)},h.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var i=this.computedMatrix,a=i[1],o=i[5],s=i[9],c=l(a,o,s);a/=c,o/=c,s/=c;var u=i[0],f=i[4],h=i[8],p=u*a+f*o+h*s,d=l(u-=a*p,f-=o*p,h-=s*p);u/=d,f/=d,h/=d;var m=i[2],g=i[6],v=i[10],y=m*a+g*o+v*s,x=m*u+g*f+v*h,b=l(m-=y*a+x*u,g-=y*o+x*f,v-=y*s+x*h);m/=b,g/=b,v/=b;var _=u*e+a*r,w=f*e+o*r,T=h*e+s*r;this.center.move(t,_,w,T);var k=Math.exp(this.computedRadius[0]);k=Math.max(1e-4,k+n),this.radius.set(t,Math.log(k))},h.rotate=function(t,e,r,n){this.recalcMatrix(t),e=e||0,r=r||0;var i=this.computedMatrix,a=i[0],o=i[4],s=i[8],u=i[1],f=i[5],h=i[9],p=i[2],d=i[6],m=i[10],g=e*a+r*u,v=e*o+r*f,y=e*s+r*h,x=-(d*y-m*v),b=-(m*g-p*y),_=-(p*v-d*g),w=Math.sqrt(Math.max(0,1-Math.pow(x,2)-Math.pow(b,2)-Math.pow(_,2))),T=c(x,b,_,w);T>1e-6?(x/=T,b/=T,_/=T,w/=T):(x=b=_=0,w=1);var k=this.computedRotation,A=k[0],M=k[1],S=k[2],E=k[3],L=A*w+E*x+M*_-S*b,C=M*w+E*b+S*x-A*_,P=S*w+E*_+A*b-M*x,I=E*w-A*x-M*b-S*_;if(n){x=p,b=d,_=m;var O=Math.sin(n)/l(x,b,_);x*=O,b*=O,_*=O,I=I*(w=Math.cos(e))-(L=L*w+I*x+C*_-P*b)*x-(C=C*w+I*b+P*x-L*_)*b-(P=P*w+I*_+L*b-C*x)*_}var z=c(L,C,P,I);z>1e-6?(L/=z,C/=z,P/=z,I/=z):(L=C=P=0,I=1),this.rotation.set(t,L,C,P,I)},h.lookAt=function(t,e,r,n){this.recalcMatrix(t),r=r||this.computedCenter,e=e||this.computedEye,n=n||this.computedUp;var a=this.computedMatrix;i(a,e,r,n);var o=this.computedRotation;s(o,a[0],a[1],a[2],a[4],a[5],a[6],a[8],a[9],a[10]),u(o,o),this.rotation.set(t,o[0],o[1],o[2],o[3]);for(var l=0,c=0;c<3;++c)l+=Math.pow(r[c]-e[c],2);this.radius.set(t,.5*Math.log(Math.max(l,1e-6))),this.center.set(t,r[0],r[1],r[2])},h.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},h.setMatrix=function(t,e){var r=this.computedRotation;s(r,e[0],e[1],e[2],e[4],e[5],e[6],e[8],e[9],e[10]),u(r,r),this.rotation.set(t,r[0],r[1],r[2],r[3]);var n=this.computedMatrix;o(n,e);var i=n[15];if(Math.abs(i)>1e-6){var a=n[12]/i,l=n[13]/i,c=n[14]/i;this.recalcMatrix(t);var f=Math.exp(this.computedRadius[0]);this.center.set(t,a-n[2]*f,l-n[6]*f,c-n[10]*f),this.radius.idle(t)}else this.center.idle(t),this.radius.idle(t)},h.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},h.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-1/0,e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},h.getDistanceLimits=function(t){var e=this.radius.bounds;return t?(t[0]=Math.exp(e[0][0]),t[1]=Math.exp(e[1][0]),t):[Math.exp(e[0][0]),Math.exp(e[1][0])]},h.toJSON=function(){return this.recalcMatrix(this.lastT()),{center:this.computedCenter.slice(),rotation:this.computedRotation.slice(),distance:Math.log(this.computedRadius[0]),zoomMin:this.radius.bounds[0][0],zoomMax:this.radius.bounds[1][0]}},h.fromJSON=function(t){var e=this.lastT(),r=t.center;r&&this.center.set(e,r[0],r[1],r[2]);var n=t.rotation;n&&this.rotation.set(e,n[0],n[1],n[2],n[3]);var i=t.distance;i&&i>0&&this.radius.set(e,Math.log(i)),this.setDistanceLimits(t.zoomMin,t.zoomMax)}},{\"./lib/quatFromFrame\":262,\"filtered-vector\":68,\"gl-mat4/fromQuat\":95,\"gl-mat4/invert\":98,\"gl-mat4/lookAt\":99}],264:[function(t,e,r){\n",
+       "/*!\n",
+       " * pad-left <https://github.com/jonschlinkert/pad-left>\n",
+       " *\n",
+       " * Copyright (c) 2014-2015, Jon Schlinkert.\n",
+       " * Licensed under the MIT license.\n",
+       " */\n",
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+       "/*!\n",
+       " * repeat-string <https://github.com/jonschlinkert/repeat-string>\n",
+       " *\n",
+       " * Copyright (c) 2014-2015, Jon Schlinkert.\n",
+       " * Licensed under the MIT License.\n",
+       " */\n",
+       "\"use strict\";var n,i=\"\";e.exports=function(t,e){if(\"string\"!=typeof t)throw new TypeError(\"expected a string\");if(1===e)return t;if(2===e)return t+t;var r=t.length*e;if(n!==t||void 0===n)n=t,i=\"\";else if(i.length>=r)return i.substr(0,r);for(;r>i.length&&e>1;)1&e&&(i+=t),e>>=1,t+=t;return i=(i+=t).substr(0,r)}},{}],278:[function(t,e,r){(function(t){(function(){e.exports=t.performance&&t.performance.now?function(){return performance.now()}:Date.now||function(){return+new Date}}).call(this)}).call(this,void 0!==n?n:\"undefined\"!=typeof self?self:\"undefined\"!=typeof window?window:{})},{}],279:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=t.length,r=t[t.length-1],n=e,i=e-2;i>=0;--i){var a=r,o=t[i];(l=o-((r=a+o)-a))&&(t[--n]=r,r=l)}var s=0;for(i=n;i<e;++i){var l;a=t[i];(l=(o=r)-((r=a+o)-a))&&(t[s++]=l)}return t[s++]=r,t.length=s,t}},{}],280:[function(t,e,r){\"use strict\";var 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e=this.computedUp,r=this.computedRight,n=0,i=0,a=0;a<3;++a)i+=e[a]*r[a],n+=e[a]*e[a];var l=Math.sqrt(n),u=0;for(a=0;a<3;++a)r[a]-=e[a]*i/n,u+=r[a]*r[a],e[a]/=l;var f=Math.sqrt(u);for(a=0;a<3;++a)r[a]/=f;var h=this.computedToward;o(h,e,r),s(h,h);var p=Math.exp(this.computedRadius[0]),d=this.computedAngle[0],m=this.computedAngle[1],g=Math.cos(d),v=Math.sin(d),y=Math.cos(m),x=Math.sin(m),b=this.computedCenter,_=g*y,w=v*y,T=x,k=-g*x,A=-v*x,M=y,S=this.computedEye,E=this.computedMatrix;for(a=0;a<3;++a){var L=_*r[a]+w*h[a]+T*e[a];E[4*a+1]=k*r[a]+A*h[a]+M*e[a],E[4*a+2]=L,E[4*a+3]=0}var C=E[1],P=E[5],I=E[9],O=E[2],z=E[6],D=E[10],R=P*D-I*z,F=I*O-C*D,B=C*z-P*O,N=c(R,F,B);R/=N,F/=N,B/=N,E[0]=R,E[4]=F,E[8]=B;for(a=0;a<3;++a)S[a]=b[a]+E[2+4*a]*p;for(a=0;a<3;++a){u=0;for(var j=0;j<3;++j)u+=E[a+4*j]*S[j];E[12+a]=-u}E[15]=1},p.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r};var d=[0,0,0];p.rotate=function(t,e,r,n){if(this.angle.move(t,e,r),n){this.recalcMatrix(t);var i=this.computedMatrix;d[0]=i[2],d[1]=i[6],d[2]=i[10];for(var o=this.computedUp,s=this.computedRight,l=this.computedToward,c=0;c<3;++c)i[4*c]=o[c],i[4*c+1]=s[c],i[4*c+2]=l[c];a(i,i,n,d);for(c=0;c<3;++c)o[c]=i[4*c],s[c]=i[4*c+1];this.up.set(t,o[0],o[1],o[2]),this.right.set(t,s[0],s[1],s[2])}},p.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var i=this.computedMatrix,a=(Math.exp(this.computedRadius[0]),i[1]),o=i[5],s=i[9],l=c(a,o,s);a/=l,o/=l,s/=l;var u=i[0],f=i[4],h=i[8],p=u*a+f*o+h*s,d=c(u-=a*p,f-=o*p,h-=s*p),m=(u/=d)*e+a*r,g=(f/=d)*e+o*r,v=(h/=d)*e+s*r;this.center.move(t,m,g,v);var y=Math.exp(this.computedRadius[0]);y=Math.max(1e-4,y+n),this.radius.set(t,Math.log(y))},p.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},p.setMatrix=function(t,e,r,n){var a=1;\"number\"==typeof r&&(a=0|r),(a<0||a>3)&&(a=1);var o=(a+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var s=e[a],l=e[a+4],f=e[a+8];if(n){var h=Math.abs(s),p=Math.abs(l),d=Math.abs(f),m=Math.max(h,p,d);h===m?(s=s<0?-1:1,l=f=0):d===m?(f=f<0?-1:1,s=l=0):(l=l<0?-1:1,s=f=0)}else{var g=c(s,l,f);s/=g,l/=g,f/=g}var v,y,x=e[o],b=e[o+4],_=e[o+8],w=x*s+b*l+_*f,T=c(x-=s*w,b-=l*w,_-=f*w),k=l*(_/=T)-f*(b/=T),A=f*(x/=T)-s*_,M=s*b-l*x,S=c(k,A,M);if(k/=S,A/=S,M/=S,this.center.jump(t,q,G,Y),this.radius.idle(t),this.up.jump(t,s,l,f),this.right.jump(t,x,b,_),2===a){var E=e[1],L=e[5],C=e[9],P=E*x+L*b+C*_,I=E*k+L*A+C*M;v=R<0?-Math.PI/2:Math.PI/2,y=Math.atan2(I,P)}else{var O=e[2],z=e[6],D=e[10],R=O*s+z*l+D*f,F=O*x+z*b+D*_,B=O*k+z*A+D*M;v=Math.asin(u(R)),y=Math.atan2(B,F)}this.angle.jump(t,y,v),this.recalcMatrix(t);var N=e[2],j=e[6],U=e[10],V=this.computedMatrix;i(V,e);var H=V[15],q=V[12]/H,G=V[13]/H,Y=V[14]/H,W=Math.exp(this.computedRadius[0]);this.center.jump(t,q-N*W,G-j*W,Y-U*W)},p.lastT=function(){return 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                       {\"responsive\": true}                    )                };                            </script>        </div>\n",
+       "</body>\n",
+       "</html>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "train_run.artifact('loss_plot').show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": [
+    "#### Getting the model for evaluating and predicting"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "model_path = train_run.outputs['model']"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### **Optimize the model**\n",
+    "\n",
+    "Choosing the `optimize` handler\n",
+    "\n",
+    "The result of using this handled is an onnx optimized model."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "> 2024-03-24 17:12:02,020 [info] Storing function: {'name': 'hugging-face-classifier-trainer-optimize', 'uid': 'fbee1ead18444824a4b5c0308a677bf4', 'db': 'http://mlrun-api:8080'}\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/User/.pythonlibs/mlrun-base/lib/python3.9/site-packages/optimum/onnxruntime/configuration.py:726: FutureWarning:\n",
+      "\n",
+      "disable_embed_layer_norm will be deprecated soon, use disable_embed_layer_norm_fusion instead, disable_embed_layer_norm_fusion is set to True.\n",
+      "\n",
+      "loading configuration file /tmp/config.json\n",
+      "Model config DistilBertConfig {\n",
+      "  \"_name_or_path\": \"/tmp/config.json\",\n",
+      "  \"activation\": \"gelu\",\n",
+      "  \"architectures\": [\n",
+      "    \"DistilBertForSequenceClassification\"\n",
+      "  ],\n",
+      "  \"attention_dropout\": 0.1,\n",
+      "  \"dim\": 768,\n",
+      "  \"dropout\": 0.1,\n",
+      "  \"hidden_dim\": 3072,\n",
+      "  \"initializer_range\": 0.02,\n",
+      "  \"max_position_embeddings\": 512,\n",
+      "  \"model_type\": \"distilbert\",\n",
+      "  \"n_heads\": 12,\n",
+      "  \"n_layers\": 6,\n",
+      "  \"pad_token_id\": 0,\n",
+      "  \"problem_type\": \"single_label_classification\",\n",
+      "  \"qa_dropout\": 0.1,\n",
+      "  \"seq_classif_dropout\": 0.2,\n",
+      "  \"sinusoidal_pos_embds\": false,\n",
+      "  \"tie_weights_\": true,\n",
+      "  \"torch_dtype\": \"float32\",\n",
+      "  \"transformers_version\": \"4.26.1\",\n",
+      "  \"vocab_size\": 30522\n",
+      "}\n",
+      "\n",
+      "loading configuration file /tmp/config.json\n",
+      "Model config DistilBertConfig {\n",
+      "  \"_name_or_path\": \"/tmp\",\n",
+      "  \"activation\": \"gelu\",\n",
+      "  \"architectures\": [\n",
+      "    \"DistilBertForSequenceClassification\"\n",
+      "  ],\n",
+      "  \"attention_dropout\": 0.1,\n",
+      "  \"dim\": 768,\n",
+      "  \"dropout\": 0.1,\n",
+      "  \"hidden_dim\": 3072,\n",
+      "  \"initializer_range\": 0.02,\n",
+      "  \"max_position_embeddings\": 512,\n",
+      "  \"model_type\": \"distilbert\",\n",
+      "  \"n_heads\": 12,\n",
+      "  \"n_layers\": 6,\n",
+      "  \"pad_token_id\": 0,\n",
+      "  \"problem_type\": \"single_label_classification\",\n",
+      "  \"qa_dropout\": 0.1,\n",
+      "  \"seq_classif_dropout\": 0.2,\n",
+      "  \"sinusoidal_pos_embds\": false,\n",
+      "  \"tie_weights_\": true,\n",
+      "  \"torch_dtype\": \"float32\",\n",
+      "  \"transformers_version\": \"4.26.1\",\n",
+      "  \"vocab_size\": 30522\n",
+      "}\n",
+      "\n",
+      "loading weights file /tmp/pytorch_model.bin\n",
+      "All model checkpoint weights were used when initializing DistilBertForSequenceClassification.\n",
+      "\n",
+      "All the weights of DistilBertForSequenceClassification were initialized from the model checkpoint at /tmp.\n",
+      "If your task is similar to the task the model of the checkpoint was trained on, you can already use DistilBertForSequenceClassification for predictions without further training.\n",
+      "/User/.pythonlibs/mlrun-base/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py:218: TracerWarning:\n",
+      "\n",
+      "torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.\n",
+      "\n",
+      "Configuration saved in /tmp/tmp79wjp8m8/config.json\n",
+      "Could not locate the tokenizer configuration file, will try to use the model config instead.\n",
+      "loading configuration file /tmp/config.json\n",
+      "Model config DistilBertConfig {\n",
+      "  \"_name_or_path\": \"/tmp\",\n",
+      "  \"activation\": \"gelu\",\n",
+      "  \"architectures\": [\n",
+      "    \"DistilBertForSequenceClassification\"\n",
+      "  ],\n",
+      "  \"attention_dropout\": 0.1,\n",
+      "  \"dim\": 768,\n",
+      "  \"dropout\": 0.1,\n",
+      "  \"hidden_dim\": 3072,\n",
+      "  \"initializer_range\": 0.02,\n",
+      "  \"max_position_embeddings\": 512,\n",
+      "  \"model_type\": \"distilbert\",\n",
+      "  \"n_heads\": 12,\n",
+      "  \"n_layers\": 6,\n",
+      "  \"pad_token_id\": 0,\n",
+      "  \"problem_type\": \"single_label_classification\",\n",
+      "  \"qa_dropout\": 0.1,\n",
+      "  \"seq_classif_dropout\": 0.2,\n",
+      "  \"sinusoidal_pos_embds\": false,\n",
+      "  \"tie_weights_\": true,\n",
+      "  \"torch_dtype\": \"float32\",\n",
+      "  \"transformers_version\": \"4.26.1\",\n",
+      "  \"vocab_size\": 30522\n",
+      "}\n",
+      "\n",
+      "loading configuration file /tmp/config.json\n",
+      "Model config DistilBertConfig {\n",
+      "  \"_name_or_path\": \"/tmp\",\n",
+      "  \"activation\": \"gelu\",\n",
+      "  \"architectures\": [\n",
+      "    \"DistilBertForSequenceClassification\"\n",
+      "  ],\n",
+      "  \"attention_dropout\": 0.1,\n",
+      "  \"dim\": 768,\n",
+      "  \"dropout\": 0.1,\n",
+      "  \"hidden_dim\": 3072,\n",
+      "  \"initializer_range\": 0.02,\n",
+      "  \"max_position_embeddings\": 512,\n",
+      "  \"model_type\": \"distilbert\",\n",
+      "  \"n_heads\": 12,\n",
+      "  \"n_layers\": 6,\n",
+      "  \"pad_token_id\": 0,\n",
+      "  \"problem_type\": \"single_label_classification\",\n",
+      "  \"qa_dropout\": 0.1,\n",
+      "  \"seq_classif_dropout\": 0.2,\n",
+      "  \"sinusoidal_pos_embds\": false,\n",
+      "  \"tie_weights_\": true,\n",
+      "  \"torch_dtype\": \"float32\",\n",
+      "  \"transformers_version\": \"4.26.1\",\n",
+      "  \"vocab_size\": 30522\n",
+      "}\n",
+      "\n",
+      "Could not locate the tokenizer configuration file, will try to use the model config instead.\n",
+      "loading configuration file /tmp/config.json\n",
+      "Model config DistilBertConfig {\n",
+      "  \"_name_or_path\": \"/tmp\",\n",
+      "  \"activation\": \"gelu\",\n",
+      "  \"architectures\": [\n",
+      "    \"DistilBertForSequenceClassification\"\n",
+      "  ],\n",
+      "  \"attention_dropout\": 0.1,\n",
+      "  \"dim\": 768,\n",
+      "  \"dropout\": 0.1,\n",
+      "  \"hidden_dim\": 3072,\n",
+      "  \"initializer_range\": 0.02,\n",
+      "  \"max_position_embeddings\": 512,\n",
+      "  \"model_type\": \"distilbert\",\n",
+      "  \"n_heads\": 12,\n",
+      "  \"n_layers\": 6,\n",
+      "  \"pad_token_id\": 0,\n",
+      "  \"problem_type\": \"single_label_classification\",\n",
+      "  \"qa_dropout\": 0.1,\n",
+      "  \"seq_classif_dropout\": 0.2,\n",
+      "  \"sinusoidal_pos_embds\": false,\n",
+      "  \"tie_weights_\": true,\n",
+      "  \"torch_dtype\": \"float32\",\n",
+      "  \"transformers_version\": \"4.26.1\",\n",
+      "  \"vocab_size\": 30522\n",
+      "}\n",
+      "\n",
+      "Could not locate the tokenizer configuration file, will try to use the model config instead.\n",
+      "loading configuration file /tmp/tmp79wjp8m8/config.json\n",
+      "Model config DistilBertConfig {\n",
+      "  \"_name_or_path\": \"/tmp/tmp79wjp8m8\",\n",
+      "  \"activation\": \"gelu\",\n",
+      "  \"architectures\": [\n",
+      "    \"DistilBertForSequenceClassification\"\n",
+      "  ],\n",
+      "  \"attention_dropout\": 0.1,\n",
+      "  \"dim\": 768,\n",
+      "  \"dropout\": 0.1,\n",
+      "  \"hidden_dim\": 3072,\n",
+      "  \"initializer_range\": 0.02,\n",
+      "  \"max_position_embeddings\": 512,\n",
+      "  \"model_type\": \"distilbert\",\n",
+      "  \"n_heads\": 12,\n",
+      "  \"n_layers\": 6,\n",
+      "  \"pad_token_id\": 0,\n",
+      "  \"problem_type\": \"single_label_classification\",\n",
+      "  \"qa_dropout\": 0.1,\n",
+      "  \"seq_classif_dropout\": 0.2,\n",
+      "  \"sinusoidal_pos_embds\": false,\n",
+      "  \"tie_weights_\": true,\n",
+      "  \"torch_dtype\": \"float32\",\n",
+      "  \"transformers_version\": \"4.26.1\",\n",
+      "  \"vocab_size\": 30522\n",
+      "}\n",
+      "\n",
+      "loading configuration file /tmp/tmp79wjp8m8/config.json\n",
+      "Model config DistilBertConfig {\n",
+      "  \"_name_or_path\": \"/tmp/tmp79wjp8m8\",\n",
+      "  \"activation\": \"gelu\",\n",
+      "  \"architectures\": [\n",
+      "    \"DistilBertForSequenceClassification\"\n",
+      "  ],\n",
+      "  \"attention_dropout\": 0.1,\n",
+      "  \"dim\": 768,\n",
+      "  \"dropout\": 0.1,\n",
+      "  \"hidden_dim\": 3072,\n",
+      "  \"initializer_range\": 0.02,\n",
+      "  \"max_position_embeddings\": 512,\n",
+      "  \"model_type\": \"distilbert\",\n",
+      "  \"n_heads\": 12,\n",
+      "  \"n_layers\": 6,\n",
+      "  \"pad_token_id\": 0,\n",
+      "  \"problem_type\": \"single_label_classification\",\n",
+      "  \"qa_dropout\": 0.1,\n",
+      "  \"seq_classif_dropout\": 0.2,\n",
+      "  \"sinusoidal_pos_embds\": false,\n",
+      "  \"tie_weights_\": true,\n",
+      "  \"torch_dtype\": \"float32\",\n",
+      "  \"transformers_version\": \"4.26.1\",\n",
+      "  \"vocab_size\": 30522\n",
+      "}\n",
+      "\n",
+      "Could not locate the tokenizer configuration file, will try to use the model config instead.\n",
+      "loading configuration file /tmp/tmp79wjp8m8/config.json\n",
+      "Model config DistilBertConfig {\n",
+      "  \"_name_or_path\": \"/tmp/tmp79wjp8m8\",\n",
+      "  \"activation\": \"gelu\",\n",
+      "  \"architectures\": [\n",
+      "    \"DistilBertForSequenceClassification\"\n",
+      "  ],\n",
+      "  \"attention_dropout\": 0.1,\n",
+      "  \"dim\": 768,\n",
+      "  \"dropout\": 0.1,\n",
+      "  \"hidden_dim\": 3072,\n",
+      "  \"initializer_range\": 0.02,\n",
+      "  \"max_position_embeddings\": 512,\n",
+      "  \"model_type\": \"distilbert\",\n",
+      "  \"n_heads\": 12,\n",
+      "  \"n_layers\": 6,\n",
+      "  \"pad_token_id\": 0,\n",
+      "  \"problem_type\": \"single_label_classification\",\n",
+      "  \"qa_dropout\": 0.1,\n",
+      "  \"seq_classif_dropout\": 0.2,\n",
+      "  \"sinusoidal_pos_embds\": false,\n",
+      "  \"tie_weights_\": true,\n",
+      "  \"torch_dtype\": \"float32\",\n",
+      "  \"transformers_version\": \"4.26.1\",\n",
+      "  \"vocab_size\": 30522\n",
+      "}\n",
+      "\n",
+      "Configuration saved in optimized/config.json\n",
+      "Could not locate the tokenizer configuration file, will try to use the model config instead.\n",
+      "loading configuration file /tmp/tmp79wjp8m8/config.json\n",
+      "Model config DistilBertConfig {\n",
+      "  \"_name_or_path\": \"/tmp/tmp79wjp8m8\",\n",
+      "  \"activation\": \"gelu\",\n",
+      "  \"architectures\": [\n",
+      "    \"DistilBertForSequenceClassification\"\n",
+      "  ],\n",
+      "  \"attention_dropout\": 0.1,\n",
+      "  \"dim\": 768,\n",
+      "  \"dropout\": 0.1,\n",
+      "  \"hidden_dim\": 3072,\n",
+      "  \"initializer_range\": 0.02,\n",
+      "  \"max_position_embeddings\": 512,\n",
+      "  \"model_type\": \"distilbert\",\n",
+      "  \"n_heads\": 12,\n",
+      "  \"n_layers\": 6,\n",
+      "  \"pad_token_id\": 0,\n",
+      "  \"problem_type\": \"single_label_classification\",\n",
+      "  \"qa_dropout\": 0.1,\n",
+      "  \"seq_classif_dropout\": 0.2,\n",
+      "  \"sinusoidal_pos_embds\": false,\n",
+      "  \"tie_weights_\": true,\n",
+      "  \"torch_dtype\": \"float32\",\n",
+      "  \"transformers_version\": \"4.26.1\",\n",
+      "  \"vocab_size\": 30522\n",
+      "}\n",
+      "\n",
+      "loading configuration file /tmp/tmp79wjp8m8/config.json\n",
+      "Model config DistilBertConfig {\n",
+      "  \"_name_or_path\": \"/tmp/tmp79wjp8m8\",\n",
+      "  \"activation\": \"gelu\",\n",
+      "  \"architectures\": [\n",
+      "    \"DistilBertForSequenceClassification\"\n",
+      "  ],\n",
+      "  \"attention_dropout\": 0.1,\n",
+      "  \"dim\": 768,\n",
+      "  \"dropout\": 0.1,\n",
+      "  \"hidden_dim\": 3072,\n",
+      "  \"initializer_range\": 0.02,\n",
+      "  \"max_position_embeddings\": 512,\n",
+      "  \"model_type\": \"distilbert\",\n",
+      "  \"n_heads\": 12,\n",
+      "  \"n_layers\": 6,\n",
+      "  \"pad_token_id\": 0,\n",
+      "  \"problem_type\": \"single_label_classification\",\n",
+      "  \"qa_dropout\": 0.1,\n",
+      "  \"seq_classif_dropout\": 0.2,\n",
+      "  \"sinusoidal_pos_embds\": false,\n",
+      "  \"tie_weights_\": true,\n",
+      "  \"torch_dtype\": \"float32\",\n",
+      "  \"transformers_version\": \"4.26.1\",\n",
+      "  \"vocab_size\": 30522\n",
+      "}\n",
+      "\n",
+      "Could not locate the tokenizer configuration file, will try to use the model config instead.\n",
+      "loading configuration file /tmp/tmp79wjp8m8/config.json\n",
+      "Model config DistilBertConfig {\n",
+      "  \"_name_or_path\": \"/tmp/tmp79wjp8m8\",\n",
+      "  \"activation\": \"gelu\",\n",
+      "  \"architectures\": [\n",
+      "    \"DistilBertForSequenceClassification\"\n",
+      "  ],\n",
+      "  \"attention_dropout\": 0.1,\n",
+      "  \"dim\": 768,\n",
+      "  \"dropout\": 0.1,\n",
+      "  \"hidden_dim\": 3072,\n",
+      "  \"initializer_range\": 0.02,\n",
+      "  \"max_position_embeddings\": 512,\n",
+      "  \"model_type\": \"distilbert\",\n",
+      "  \"n_heads\": 12,\n",
+      "  \"n_layers\": 6,\n",
+      "  \"pad_token_id\": 0,\n",
+      "  \"problem_type\": \"single_label_classification\",\n",
+      "  \"qa_dropout\": 0.1,\n",
+      "  \"seq_classif_dropout\": 0.2,\n",
+      "  \"sinusoidal_pos_embds\": false,\n",
+      "  \"tie_weights_\": true,\n",
+      "  \"torch_dtype\": \"float32\",\n",
+      "  \"transformers_version\": \"4.26.1\",\n",
+      "  \"vocab_size\": 30522\n",
+      "}\n",
+      "\n",
+      "Failed to remove node input: \"/distilbert/transformer/layer.0/attention/Transpose_output_0\"\n",
+      "input: \"/distilbert/transformer/layer.0/attention/Constant_11_output_0\"\n",
+      "output: \"/distilbert/transformer/layer.0/attention/Div_output_0\"\n",
+      "name: \"/distilbert/transformer/layer.0/attention/Div\"\n",
+      "op_type: \"Div\"\n",
+      "\n",
+      "Failed to remove node input: \"/distilbert/transformer/layer.1/attention/Transpose_output_0\"\n",
+      "input: \"/distilbert/transformer/layer.1/attention/Constant_11_output_0\"\n",
+      "output: \"/distilbert/transformer/layer.1/attention/Div_output_0\"\n",
+      "name: \"/distilbert/transformer/layer.1/attention/Div\"\n",
+      "op_type: \"Div\"\n",
+      "\n",
+      "Failed to remove node input: \"/distilbert/transformer/layer.2/attention/Transpose_output_0\"\n",
+      "input: \"/distilbert/transformer/layer.2/attention/Constant_11_output_0\"\n",
+      "output: \"/distilbert/transformer/layer.2/attention/Div_output_0\"\n",
+      "name: \"/distilbert/transformer/layer.2/attention/Div\"\n",
+      "op_type: \"Div\"\n",
+      "\n",
+      "Failed to remove node input: \"/distilbert/transformer/layer.3/attention/Transpose_output_0\"\n",
+      "input: \"/distilbert/transformer/layer.3/attention/Constant_11_output_0\"\n",
+      "output: \"/distilbert/transformer/layer.3/attention/Div_output_0\"\n",
+      "name: \"/distilbert/transformer/layer.3/attention/Div\"\n",
+      "op_type: \"Div\"\n",
+      "\n",
+      "Failed to remove node input: \"/distilbert/transformer/layer.4/attention/Transpose_output_0\"\n",
+      "input: \"/distilbert/transformer/layer.4/attention/Constant_11_output_0\"\n",
+      "output: \"/distilbert/transformer/layer.4/attention/Div_output_0\"\n",
+      "name: \"/distilbert/transformer/layer.4/attention/Div\"\n",
+      "op_type: \"Div\"\n",
+      "\n",
+      "Failed to remove node input: \"/distilbert/transformer/layer.5/attention/Transpose_output_0\"\n",
+      "input: \"/distilbert/transformer/layer.5/attention/Constant_11_output_0\"\n",
+      "output: \"/distilbert/transformer/layer.5/attention/Div_output_0\"\n",
+      "name: \"/distilbert/transformer/layer.5/attention/Div\"\n",
+      "op_type: \"Div\"\n",
+      "\n",
+      "Configuration saved in optimized/config.json\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<style>\n",
+       ".dictlist {\n",
+       "  background-color: #4EC64B;\n",
+       "  text-align: center;\n",
+       "  margin: 4px;\n",
+       "  border-radius: 3px; padding: 0px 3px 1px 3px; display: inline-block;}\n",
+       ".artifact {\n",
+       "  cursor: pointer;\n",
+       "  background-color: #4EC64B;\n",
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+       "  margin: 4px; border-radius: 3px; padding: 0px 3px 1px 3px; display: inline-block;\n",
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+       "div.block.hidden {\n",
+       "  display: none;\n",
+       "}\n",
+       ".clickable {\n",
+       "  cursor: pointer;\n",
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+       ".ellipsis {\n",
+       "  display: inline-block;\n",
+       "  max-width: 60px;\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "}\n",
+       ".master-wrapper {\n",
+       "  display: flex;\n",
+       "  flex-flow: row nowrap;\n",
+       "  justify-content: flex-start;\n",
+       "  align-items: stretch;\n",
+       "}\n",
+       ".master-tbl {\n",
+       "  flex: 3\n",
+       "}\n",
+       ".master-wrapper > div {\n",
+       "  margin: 4px;\n",
+       "  padding: 10px;\n",
+       "}\n",
+       "iframe.fileview {\n",
+       "  border: 0 none;\n",
+       "  height: 100%;\n",
+       "  width: 100%;\n",
+       "  white-space: pre-wrap;\n",
+       "}\n",
+       ".pane-header-title {\n",
+       "  width: 80%;\n",
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+       ".pane-header {\n",
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+       "  background-color: #4EC64B;\n",
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+       ".pane-header .close {\n",
+       "  font-size: 20px;\n",
+       "  font-weight: 700;\n",
+       "  float: right;\n",
+       "  margin-top: -5px;\n",
+       "}\n",
+       ".master-wrapper .right-pane {\n",
+       "  border: 1px inset silver;\n",
+       "  width: 40%;\n",
+       "  min-height: 300px;\n",
+       "  flex: 3\n",
+       "  min-width: 500px;\n",
+       "}\n",
+       ".master-wrapper * {\n",
+       "  box-sizing: border-box;\n",
+       "}\n",
+       "</style><script>\n",
+       "function copyToClipboard(fld) {\n",
+       "    if (document.queryCommandSupported && document.queryCommandSupported('copy')) {\n",
+       "        var textarea = document.createElement('textarea');\n",
+       "        textarea.textContent = fld.innerHTML;\n",
+       "        textarea.style.position = 'fixed';\n",
+       "        document.body.appendChild(textarea);\n",
+       "        textarea.select();\n",
+       "\n",
+       "        try {\n",
+       "            return document.execCommand('copy'); // Security exception may be thrown by some browsers.\n",
+       "        } catch (ex) {\n",
+       "\n",
+       "        } finally {\n",
+       "            document.body.removeChild(textarea);\n",
+       "        }\n",
+       "    }\n",
+       "}\n",
+       "function expandPanel(el) {\n",
+       "  const panelName = \"#\" + el.getAttribute('paneName');\n",
+       "  console.log(el.title);\n",
+       "\n",
+       "  document.querySelector(panelName + \"-title\").innerHTML = el.title\n",
+       "  iframe = document.querySelector(panelName + \"-body\");\n",
+       "\n",
+       "  const tblcss = `<style> body { font-family: Arial, Helvetica, sans-serif;}\n",
+       "    #csv { margin-bottom: 15px; }\n",
+       "    #csv table { border-collapse: collapse;}\n",
+       "    #csv table td { padding: 4px 8px; border: 1px solid silver;} </style>`;\n",
+       "\n",
+       "  function csvToHtmlTable(str) {\n",
+       "    return '<div id=\"csv\"><table><tr><td>' +  str.replace(/[\\n\\r]+$/g, '').replace(/[\\n\\r]+/g, '</td></tr><tr><td>')\n",
+       "      .replace(/,/g, '</td><td>') + '</td></tr></table></div>';\n",
+       "  }\n",
+       "\n",
+       "  function reqListener () {\n",
+       "    if (el.title.endsWith(\".csv\")) {\n",
+       "      iframe.setAttribute(\"srcdoc\", tblcss + csvToHtmlTable(this.responseText));\n",
+       "    } else {\n",
+       "      iframe.setAttribute(\"srcdoc\", this.responseText);\n",
+       "    }\n",
+       "    console.log(this.responseText);\n",
+       "  }\n",
+       "\n",
+       "  const oReq = new XMLHttpRequest();\n",
+       "  oReq.addEventListener(\"load\", reqListener);\n",
+       "  oReq.open(\"GET\", el.title);\n",
+       "  oReq.send();\n",
+       "\n",
+       "\n",
+       "  //iframe.src = el.title;\n",
+       "  const resultPane = document.querySelector(panelName + \"-pane\");\n",
+       "  if (resultPane.classList.contains(\"hidden\")) {\n",
+       "    resultPane.classList.remove(\"hidden\");\n",
+       "  }\n",
+       "}\n",
+       "function closePanel(el) {\n",
+       "  const panelName = \"#\" + el.getAttribute('paneName')\n",
+       "  const resultPane = document.querySelector(panelName + \"-pane\");\n",
+       "  if (!resultPane.classList.contains(\"hidden\")) {\n",
+       "    resultPane.classList.add(\"hidden\");\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "</script>\n",
+       "<div class=\"master-wrapper\">\n",
+       "  <div class=\"block master-tbl\"><div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>project</th>\n",
+       "      <th>uid</th>\n",
+       "      <th>iter</th>\n",
+       "      <th>start</th>\n",
+       "      <th>state</th>\n",
+       "      <th>name</th>\n",
+       "      <th>labels</th>\n",
+       "      <th>inputs</th>\n",
+       "      <th>parameters</th>\n",
+       "      <th>results</th>\n",
+       "      <th>artifacts</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <td>hugging-face-trainer-avia</td>\n",
+       "      <td><div title=\"fbee1ead18444824a4b5c0308a677bf4\"><a href=\"https://dashboard.default-tenant.app.app-lab-2-b688.iguazio-cd2.com/mlprojects/hugging-face-trainer-avia/jobs/monitor/fbee1ead18444824a4b5c0308a677bf4/overview\" target=\"_blank\" >...8a677bf4</a></div></td>\n",
+       "      <td>0</td>\n",
+       "      <td>Mar 24 17:12:02</td>\n",
+       "      <td>completed</td>\n",
+       "      <td>hugging-face-classifier-trainer-optimize</td>\n",
+       "      <td><div class=\"dictlist\">v3io_user=avia</div><div class=\"dictlist\">kind=local</div><div class=\"dictlist\">owner=avia</div><div class=\"dictlist\">host=jupyter-avia-6454bdd4c5-xz8cg</div></td>\n",
+       "      <td></td>\n",
+       "      <td><div class=\"dictlist\">model_path=store://artifacts/hugging-face-trainer-avia/huggingface-model@514d8d5530c842238b1cc81983cd943e</div></td>\n",
+       "      <td></td>\n",
+       "      <td><div title=\"v3io:///projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-optimize/0/model/\">model</div></td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div></div>\n",
+       "  <div id=\"result5fe848aa-pane\" class=\"right-pane block hidden\">\n",
+       "    <div class=\"pane-header\">\n",
+       "      <span id=\"result5fe848aa-title\" class=\"pane-header-title\">Title</span>\n",
+       "      <span onclick=\"closePanel(this)\" paneName=\"result5fe848aa\" class=\"close clickable\">&times;</span>\n",
+       "    </div>\n",
+       "    <iframe class=\"fileview\" id=\"result5fe848aa-body\"></iframe>\n",
+       "  </div>\n",
+       "</div>\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<b> > to track results use the .show() or .logs() methods  or <a href=\"https://dashboard.default-tenant.app.app-lab-2-b688.iguazio-cd2.com/mlprojects/hugging-face-trainer-avia/jobs/monitor/fbee1ead18444824a4b5c0308a677bf4/overview\" target=\"_blank\">click here</a> to open in UI</b>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "> 2024-03-24 17:12:22,721 [info] Run execution finished: {'status': 'completed', 'name': 'hugging-face-classifier-trainer-optimize'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "optimize_run = hugging_face_classifier_trainer.run(params={\n",
+    "                                                        \"model_path\": str(model_path)\n",
+    "                                                    },\n",
+    "                                                    handler=\"optimize\",\n",
+    "                                                    local=True,\n",
+    "                                                )"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'model': 'store://artifacts/hugging-face-trainer-avia/optimized_model@fbee1ead18444824a4b5c0308a677bf4'}"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "optimize_run.outputs"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### **Running the training remotely**\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/User/.pythonlibs/mlrun-base/lib/python3.9/site-packages/mlrun/projects/operations.py:276: OverwriteBuildParamsWarning:\n",
+      "\n",
+      "The `overwrite_build_params` parameter default will change from 'False' to 'True' in 1.8.0.\n",
+      "\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "> 2024-03-24 17:14:22,792 [info] Started building image: .mlrun/func-hugging-face-trainer-avia-hugging-face-classifier-trainer:latest\n",
+      "\u001b[36mINFO\u001b[0m[0000] Retrieving image manifest mlrun/mlrun:1.6.1  \n",
+      "\u001b[36mINFO\u001b[0m[0000] Retrieving image mlrun/mlrun:1.6.1 from registry index.docker.io \n",
+      "\u001b[36mINFO\u001b[0m[0000] Built cross stage deps: map[]                \n",
+      "\u001b[36mINFO\u001b[0m[0000] Retrieving image manifest mlrun/mlrun:1.6.1  \n",
+      "\u001b[36mINFO\u001b[0m[0000] Returning cached image manifest              \n",
+      "\u001b[36mINFO\u001b[0m[0000] Executing 0 build triggers                   \n",
+      "\u001b[36mINFO\u001b[0m[0000] Building stage 'mlrun/mlrun:1.6.1' [idx: '0', base-idx: '-1'] \n",
+      "\u001b[36mINFO\u001b[0m[0000] Unpacking rootfs as cmd RUN echo 'Installing /empty/requirements.txt...'; cat /empty/requirements.txt requires it. \n",
+      "\u001b[36mINFO\u001b[0m[0047] RUN echo 'Installing /empty/requirements.txt...'; cat /empty/requirements.txt \n",
+      "\u001b[36mINFO\u001b[0m[0047] Initializing snapshotter ...                 \n",
+      "\u001b[36mINFO\u001b[0m[0047] Taking snapshot of full filesystem...        \n",
+      "\u001b[36mINFO\u001b[0m[0074] Cmd: /bin/sh                                 \n",
+      "\u001b[36mINFO\u001b[0m[0074] Args: [-c echo 'Installing /empty/requirements.txt...'; cat /empty/requirements.txt] \n",
+      "\u001b[36mINFO\u001b[0m[0074] Running: [/bin/sh -c echo 'Installing /empty/requirements.txt...'; cat /empty/requirements.txt] \n",
+      "Installing /empty/requirements.txt...\n",
+      "mlrun[complete]==1.6.1\n",
+      "onnx~=1.14.1\n",
+      "onnxruntime~=1.16.1\n",
+      "optimum~=1.6.4\n",
+      "transformers~=4.26.1\n",
+      "datasets~=2.10.1\n",
+      "scikit-learn~=1.0.2\n",
+      "\u001b[36mINFO\u001b[0m[0074] Taking snapshot of full filesystem...        \n",
+      "\u001b[36mINFO\u001b[0m[0078] No files were changed, appending empty layer to config. No layer added to image. \n",
+      "\u001b[36mINFO\u001b[0m[0078] RUN python -m pip install -r /empty/requirements.txt \n",
+      "\u001b[36mINFO\u001b[0m[0078] Cmd: /bin/sh                                 \n",
+      "\u001b[36mINFO\u001b[0m[0078] Args: [-c python -m pip install -r /empty/requirements.txt] \n",
+      "\u001b[36mINFO\u001b[0m[0078] Running: [/bin/sh -c python -m pip install -r /empty/requirements.txt] \n",
+      "Requirement already satisfied: mlrun[complete]==1.6.1 in /opt/conda/lib/python3.9/site-packages (from -r /empty/requirements.txt (line 1)) (1.6.1)\n",
+      "Collecting onnx~=1.14.1 (from -r /empty/requirements.txt (line 2))\n",
+      "  Obtaining dependency information for onnx~=1.14.1 from https://files.pythonhosted.org/packages/ff/24/0e522fdcadf0e15fc304145a5b6e5d7246d7f2c507fd9bfe6e1fafb2aa95/onnx-1.14.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata\n",
+      "  Downloading onnx-1.14.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (15 kB)\n",
+      "Collecting onnxruntime~=1.16.1 (from -r /empty/requirements.txt (line 3))\n",
+      "  Obtaining dependency information for onnxruntime~=1.16.1 from https://files.pythonhosted.org/packages/de/ab/ed3ae0d649cee41e870f8b1653cf4a1c1fc321e0ded4e3e1a3d4a25c0131/onnxruntime-1.16.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata\n",
+      "  Downloading onnxruntime-1.16.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (4.3 kB)\n",
+      "Collecting optimum~=1.6.4 (from -r /empty/requirements.txt (line 4))\n",
+      "  Obtaining dependency information for optimum~=1.6.4 from https://files.pythonhosted.org/packages/31/72/a7e3b2c57d6368c5f4bb6fba54a85cbf07d25c385a2db3f1a638f3c0ddb2/optimum-1.6.4-py3-none-any.whl.metadata\n",
+      "  Downloading optimum-1.6.4-py3-none-any.whl.metadata (17 kB)\n",
+      "Collecting transformers~=4.26.1 (from -r /empty/requirements.txt (line 5))\n",
+      "  Obtaining dependency information for transformers~=4.26.1 from https://files.pythonhosted.org/packages/1e/e2/60c3f4691b16d126ee9cfe28f598b13c424b60350ab339aba81aef054b8f/transformers-4.26.1-py3-none-any.whl.metadata\n",
+      "  Downloading transformers-4.26.1-py3-none-any.whl.metadata (100 kB)\n",
+      "     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100.3/100.3 kB 6.2 MB/s eta 0:00:00\n",
+      "Collecting datasets~=2.10.1 (from -r /empty/requirements.txt (line 6))\n",
+      "  Obtaining dependency information for datasets~=2.10.1 from https://files.pythonhosted.org/packages/fe/17/5825fdf034ff1a315becdbb9b6fe5a2bd9d8e724464535f18809593bf9c2/datasets-2.10.1-py3-none-any.whl.metadata\n",
+      "  Downloading datasets-2.10.1-py3-none-any.whl.metadata (20 kB)\n",
+      "Collecting scikit-learn~=1.0.2 (from -r /empty/requirements.txt (line 7))\n",
+      "  Obtaining dependency information for scikit-learn~=1.0.2 from https://files.pythonhosted.org/packages/57/aa/483fbe6b5314bce2d49801e6cec1f2139a9c220d0d51494788fff47233b3/scikit_learn-1.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata\n",
+      "  Downloading scikit_learn-1.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (10 kB)\n",
+      "Requirement already satisfied: urllib3<1.27,>=1.26.9 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (1.26.18)\n",
+      "Requirement already satisfied: GitPython>=3.1.41,~=3.1 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (3.1.42)\n",
+      "Requirement already satisfied: aiohttp~=3.9 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (3.9.3)\n",
+      "Requirement already satisfied: aiohttp-retry~=2.8 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (2.8.3)\n",
+      "Requirement already satisfied: click~=8.1 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (8.1.7)\n",
+      "Requirement already satisfied: kfp~=1.8 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (1.8.22)\n",
+      "Requirement already satisfied: nest-asyncio~=1.0 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (1.6.0)\n",
+      "Requirement already satisfied: ipython~=8.10 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (8.18.1)\n",
+      "Requirement already satisfied: nuclio-jupyter~=0.9.15 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (0.9.16)\n",
+      "Requirement already satisfied: numpy<1.27.0,>=1.16.5 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (1.26.4)\n",
+      "Requirement already satisfied: pandas<2.2,>=1.2 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (2.1.4)\n",
+      "Requirement already satisfied: pyarrow<15,>=10.0 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (14.0.2)\n",
+      "Requirement already satisfied: pyyaml~=5.1 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (5.4.1)\n",
+      "Requirement already satisfied: requests~=2.31 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (2.31.0)\n",
+      "Requirement already satisfied: tabulate~=0.8.6 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (0.8.10)\n",
+      "Requirement already satisfied: v3io~=0.5.21 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (0.5.23)\n",
+      "Requirement already satisfied: pydantic>=1.10.8,~=1.10 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (1.10.14)\n",
+      "Requirement already satisfied: mergedeep~=1.3 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (1.3.4)\n",
+      "Requirement already satisfied: v3io-frames~=0.10.12 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (0.10.13)\n",
+      "Requirement already satisfied: semver~=3.0 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (3.0.2)\n",
+      "Requirement already satisfied: dependency-injector~=4.41 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (4.41.0)\n",
+      "Requirement already satisfied: fsspec==2023.9.2 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (2023.9.2)\n",
+      "Requirement already satisfied: v3iofs~=0.1.17 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (0.1.18)\n",
+      "Requirement already satisfied: storey~=1.6.18 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (1.6.18)\n",
+      "Requirement already satisfied: inflection~=0.5.0 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (0.5.1)\n",
+      "Requirement already satisfied: python-dotenv~=0.17.0 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (0.17.1)\n",
+      "Requirement already satisfied: setuptools~=68.2 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (68.2.2)\n",
+      "Requirement already satisfied: deprecated~=1.2 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (1.2.14)\n",
+      "Requirement already satisfied: jinja2>=3.1.3,~=3.1 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (3.1.3)\n",
+      "Requirement already satisfied: anyio~=3.7 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (3.7.1)\n",
+      "Requirement already satisfied: orjson~=3.9 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (3.9.15)\n",
+      "Requirement already satisfied: adlfs==2023.9.0 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (2023.9.0)\n",
+      "Requirement already satisfied: aiobotocore<2.8,>=2.5.0 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (2.5.4)\n",
+      "Requirement already satisfied: avro~=1.11 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (1.11.3)\n",
+      "Requirement already satisfied: azure-core~=1.24 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (1.30.0)\n",
+      "Requirement already satisfied: azure-identity~=1.5 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (1.15.0)\n",
+      "Requirement already satisfied: azure-keyvault-secrets~=4.2 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (4.8.0)\n",
+      "Requirement already satisfied: boto3<1.29.0,>=1.28.0 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (1.28.17)\n",
+      "Requirement already satisfied: dask~=2023.9.0 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (2023.9.3)\n",
+      "Requirement already satisfied: databricks-sdk~=0.13.0 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (0.13.0)\n",
+      "Requirement already satisfied: distributed~=2023.9.0 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (2023.9.3)\n",
+      "Requirement already satisfied: gcsfs==2023.9.2 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (2023.9.2)\n",
+      "Requirement already satisfied: google-cloud-bigquery[bqstorage,pandas]==3.14.1 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (3.14.1)\n",
+      "Requirement already satisfied: graphviz~=0.20.0 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (0.20.1)\n",
+      "Requirement already satisfied: kafka-python~=2.0 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (2.0.2)\n",
+      "Requirement already satisfied: mlflow~=2.8 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (2.10.2)\n",
+      "Requirement already satisfied: msrest~=0.6.21 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (0.6.21)\n",
+      "Requirement already satisfied: plotly<5.12.0,~=5.4 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (5.11.0)\n",
+      "Requirement already satisfied: pyopenssl>=23 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (24.0.0)\n",
+      "Requirement already satisfied: redis~=4.3 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (4.6.0)\n",
+      "Requirement already satisfied: s3fs==2023.9.2 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (2023.9.2)\n",
+      "Requirement already satisfied: sqlalchemy~=1.4 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (1.4.51)\n",
+      "Requirement already satisfied: azure-datalake-store<0.1,>=0.0.46 in /opt/conda/lib/python3.9/site-packages (from adlfs==2023.9.0->mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (0.0.53)\n",
+      "Requirement already satisfied: azure-storage-blob>=12.12.0 in /opt/conda/lib/python3.9/site-packages (from adlfs==2023.9.0->mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (12.19.0)\n",
+      "Requirement already satisfied: decorator>4.1.2 in /opt/conda/lib/python3.9/site-packages (from gcsfs==2023.9.2->mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (5.1.1)\n",
+      "Requirement already satisfied: google-auth>=1.2 in /opt/conda/lib/python3.9/site-packages (from gcsfs==2023.9.2->mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (2.28.1)\n",
+      "Requirement already satisfied: google-auth-oauthlib in /opt/conda/lib/python3.9/site-packages (from gcsfs==2023.9.2->mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (1.2.0)\n",
+      "Requirement already satisfied: google-cloud-storage in /opt/conda/lib/python3.9/site-packages (from gcsfs==2023.9.2->mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (2.14.0)\n",
+      "Requirement already satisfied: google-api-core!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.0,<3.0.0dev,>=1.31.5 in /opt/conda/lib/python3.9/site-packages (from google-cloud-bigquery[bqstorage,pandas]==3.14.1->mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (2.17.1)\n",
+      "Requirement already satisfied: google-cloud-core<3.0.0dev,>=1.6.0 in /opt/conda/lib/python3.9/site-packages (from google-cloud-bigquery[bqstorage,pandas]==3.14.1->mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (2.4.1)\n",
+      "Requirement already satisfied: google-resumable-media<3.0dev,>=0.6.0 in /opt/conda/lib/python3.9/site-packages (from google-cloud-bigquery[bqstorage,pandas]==3.14.1->mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (2.7.0)\n",
+      "Requirement already satisfied: packaging>=20.0.0 in /opt/conda/lib/python3.9/site-packages (from google-cloud-bigquery[bqstorage,pandas]==3.14.1->mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (23.1)\n",
+      "Requirement already satisfied: python-dateutil<3.0dev,>=2.7.2 in /opt/conda/lib/python3.9/site-packages (from google-cloud-bigquery[bqstorage,pandas]==3.14.1->mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (2.8.2)\n",
+      "Requirement already satisfied: db-dtypes<2.0.0dev,>=0.3.0 in /opt/conda/lib/python3.9/site-packages (from google-cloud-bigquery[bqstorage,pandas]==3.14.1->mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (1.2.0)\n",
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+      "Requirement already satisfied: protobuf>=3.20.2 in /opt/conda/lib/python3.9/site-packages (from onnx~=1.14.1->-r /empty/requirements.txt (line 2)) (3.20.3)\n",
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+      "Collecting coloredlogs (from onnxruntime~=1.16.1->-r /empty/requirements.txt (line 3))\n",
+      "  Obtaining dependency information for coloredlogs from https://files.pythonhosted.org/packages/a7/06/3d6badcf13db419e25b07041d9c7b4a2c331d3f4e7134445ec5df57714cd/coloredlogs-15.0.1-py2.py3-none-any.whl.metadata\n",
+      "  Downloading coloredlogs-15.0.1-py2.py3-none-any.whl.metadata (12 kB)\n",
+      "Collecting flatbuffers (from onnxruntime~=1.16.1->-r /empty/requirements.txt (line 3))\n",
+      "  Obtaining dependency information for flatbuffers from https://files.pythonhosted.org/packages/bf/45/c961e3cb6ddad76b325c163d730562bb6deb1ace5acbed0306f5fbefb90e/flatbuffers-24.3.7-py2.py3-none-any.whl.metadata\n",
+      "  Downloading flatbuffers-24.3.7-py2.py3-none-any.whl.metadata (849 bytes)\n",
+      "Collecting sympy (from onnxruntime~=1.16.1->-r /empty/requirements.txt (line 3))\n",
+      "  Obtaining dependency information for sympy from https://files.pythonhosted.org/packages/d2/05/e6600db80270777c4a64238a98d442f0fd07cc8915be2a1c16da7f2b9e74/sympy-1.12-py3-none-any.whl.metadata\n",
+      "  Downloading sympy-1.12-py3-none-any.whl.metadata (12 kB)\n",
+      "Collecting transformers[sentencepiece]>=4.26.0 (from optimum~=1.6.4->-r /empty/requirements.txt (line 4))\n",
+      "  Obtaining dependency information for transformers[sentencepiece]>=4.26.0 from https://files.pythonhosted.org/packages/0a/fd/280f4385e76f3c1890efc15fa93f7206134fefad6351397e1bfab6d0d0de/transformers-4.39.1-py3-none-any.whl.metadata\n",
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+      "Collecting torch>=1.9 (from optimum~=1.6.4->-r /empty/requirements.txt (line 4))\n",
+      "  Obtaining dependency information for torch>=1.9 from https://files.pythonhosted.org/packages/98/04/95a12556d068786d6505c609daf2805bed91c9210c5185499a7c121eba47/torch-2.2.1-cp39-cp39-manylinux1_x86_64.whl.metadata\n",
+      "  Downloading torch-2.2.1-cp39-cp39-manylinux1_x86_64.whl.metadata (25 kB)\n",
+      "Collecting numpy<1.27.0,>=1.16.5 (from mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1))\n",
+      "  Obtaining dependency information for numpy<1.27.0,>=1.16.5 from https://files.pythonhosted.org/packages/4c/b9/038abd6fbd67b05b03cb1af590cfc02b7f1e5a37af7ac6a868f5093c29f5/numpy-1.23.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata\n",
+      "  Downloading numpy-1.23.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.3 kB)\n",
+      "Collecting huggingface-hub>=0.8.0 (from optimum~=1.6.4->-r /empty/requirements.txt (line 4))\n",
+      "  Obtaining dependency information for huggingface-hub>=0.8.0 from https://files.pythonhosted.org/packages/ab/28/d4b691840d73126d4c9845f8a22dad033ac872509b6d3a0d93b456eef424/huggingface_hub-0.21.4-py3-none-any.whl.metadata\n",
+      "  Downloading huggingface_hub-0.21.4-py3-none-any.whl.metadata (13 kB)\n",
+      "Collecting filelock (from transformers~=4.26.1->-r /empty/requirements.txt (line 5))\n",
+      "  Obtaining dependency information for filelock from https://files.pythonhosted.org/packages/81/54/84d42a0bee35edba99dee7b59a8d4970eccdd44b99fe728ed912106fc781/filelock-3.13.1-py3-none-any.whl.metadata\n",
+      "  Downloading filelock-3.13.1-py3-none-any.whl.metadata (2.8 kB)\n",
+      "Collecting regex!=2019.12.17 (from transformers~=4.26.1->-r /empty/requirements.txt (line 5))\n",
+      "  Obtaining dependency information for regex!=2019.12.17 from https://files.pythonhosted.org/packages/05/9e/80c20f1151432a6025690c9c2037053039b028a7b236fa81d7e7ac9dec60/regex-2023.12.25-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata\n",
+      "  Downloading regex-2023.12.25-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (40 kB)\n",
+      "     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 40.9/40.9 kB 217.5 MB/s eta 0:00:00\n",
+      "Collecting tokenizers!=0.11.3,<0.14,>=0.11.1 (from transformers~=4.26.1->-r /empty/requirements.txt (line 5))\n",
+      "  Obtaining dependency information for tokenizers!=0.11.3,<0.14,>=0.11.1 from https://files.pythonhosted.org/packages/d6/27/07a337087dd507170a1b20fed3bbf8da81401185a7130a6e74e440c52040/tokenizers-0.13.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata\n",
+      "  Downloading tokenizers-0.13.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (6.7 kB)\n",
+      "Requirement already satisfied: tqdm>=4.27 in /opt/conda/lib/python3.9/site-packages (from transformers~=4.26.1->-r /empty/requirements.txt (line 5)) (4.65.0)\n",
+      "Collecting dill<0.3.7,>=0.3.0 (from datasets~=2.10.1->-r /empty/requirements.txt (line 6))\n",
+      "  Obtaining dependency information for dill<0.3.7,>=0.3.0 from https://files.pythonhosted.org/packages/be/e3/a84bf2e561beed15813080d693b4b27573262433fced9c1d1fea59e60553/dill-0.3.6-py3-none-any.whl.metadata\n",
+      "  Downloading dill-0.3.6-py3-none-any.whl.metadata (9.8 kB)\n",
+      "Requirement already satisfied: xxhash in /opt/conda/lib/python3.9/site-packages (from datasets~=2.10.1->-r /empty/requirements.txt (line 6)) (3.4.1)\n",
+      "Collecting multiprocess (from datasets~=2.10.1->-r /empty/requirements.txt (line 6))\n",
+      "  Obtaining dependency information for multiprocess from https://files.pythonhosted.org/packages/da/d9/f7f9379981e39b8c2511c9e0326d212accacb82f12fbfdc1aa2ce2a7b2b6/multiprocess-0.70.16-py39-none-any.whl.metadata\n",
+      "  Downloading multiprocess-0.70.16-py39-none-any.whl.metadata (7.2 kB)\n",
+      "Collecting responses<0.19 (from datasets~=2.10.1->-r /empty/requirements.txt (line 6))\n",
+      "  Obtaining dependency information for responses<0.19 from https://files.pythonhosted.org/packages/79/f3/2b3a6dc5986303b3dd1bbbcf482022acb2583c428cd23f0b6d37b1a1a519/responses-0.18.0-py3-none-any.whl.metadata\n",
+      "  Downloading responses-0.18.0-py3-none-any.whl.metadata (29 kB)\n",
+      "Requirement already satisfied: scipy>=1.1.0 in /opt/conda/lib/python3.9/site-packages (from scikit-learn~=1.0.2->-r /empty/requirements.txt (line 7)) (1.12.0)\n",
+      "Requirement already satisfied: joblib>=0.11 in /opt/conda/lib/python3.9/site-packages (from scikit-learn~=1.0.2->-r /empty/requirements.txt (line 7)) (1.3.2)\n",
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+      "Requirement already satisfied: botocore<1.31.18,>=1.31.17 in /opt/conda/lib/python3.9/site-packages (from aiobotocore<2.8,>=2.5.0->mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (1.31.17)\n",
+      "Requirement already satisfied: wrapt<2.0.0,>=1.10.10 in /opt/conda/lib/python3.9/site-packages (from aiobotocore<2.8,>=2.5.0->mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (1.16.0)\n",
+      "Requirement already satisfied: aioitertools<1.0.0,>=0.5.1 in /opt/conda/lib/python3.9/site-packages (from aiobotocore<2.8,>=2.5.0->mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (0.11.0)\n",
+      "Requirement already satisfied: aiosignal>=1.1.2 in /opt/conda/lib/python3.9/site-packages (from aiohttp~=3.9->mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (1.3.1)\n",
+      "Requirement already satisfied: attrs>=17.3.0 in /opt/conda/lib/python3.9/site-packages (from aiohttp~=3.9->mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (23.2.0)\n",
+      "Requirement already satisfied: frozenlist>=1.1.1 in /opt/conda/lib/python3.9/site-packages (from aiohttp~=3.9->mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (1.4.1)\n",
+      "Requirement already satisfied: multidict<7.0,>=4.5 in /opt/conda/lib/python3.9/site-packages (from aiohttp~=3.9->mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (6.0.5)\n",
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+      "Requirement already satisfied: async-timeout<5.0,>=4.0 in /opt/conda/lib/python3.9/site-packages (from aiohttp~=3.9->mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (4.0.3)\n",
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+      "Requirement already satisfied: six>=1.11.0 in /opt/conda/lib/python3.9/site-packages (from azure-core~=1.24->mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (1.16.0)\n",
+      "Requirement already satisfied: cryptography>=2.5 in /opt/conda/lib/python3.9/site-packages (from azure-identity~=1.5->mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (42.0.2)\n",
+      "Requirement already satisfied: msal<2.0.0,>=1.24.0 in /opt/conda/lib/python3.9/site-packages (from azure-identity~=1.5->mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (1.27.0)\n",
+      "Requirement already satisfied: msal-extensions<2.0.0,>=0.3.0 in /opt/conda/lib/python3.9/site-packages (from azure-identity~=1.5->mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (1.1.0)\n",
+      "Requirement already satisfied: isodate>=0.6.1 in /opt/conda/lib/python3.9/site-packages (from azure-keyvault-secrets~=4.2->mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (0.6.1)\n",
+      "Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /opt/conda/lib/python3.9/site-packages (from boto3<1.29.0,>=1.28.0->mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (1.0.1)\n",
+      "Requirement already satisfied: s3transfer<0.7.0,>=0.6.0 in /opt/conda/lib/python3.9/site-packages (from boto3<1.29.0,>=1.28.0->mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (0.6.2)\n",
+      "Requirement already satisfied: cloudpickle>=1.5.0 in /opt/conda/lib/python3.9/site-packages (from dask~=2023.9.0->mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (2.2.1)\n",
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+      "Requirement already satisfied: msgpack>=1.0.0 in /opt/conda/lib/python3.9/site-packages (from distributed~=2023.9.0->mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (1.0.7)\n",
+      "Requirement already satisfied: psutil>=5.7.2 in /opt/conda/lib/python3.9/site-packages (from distributed~=2023.9.0->mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (5.9.8)\n",
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+      "Requirement already satisfied: tblib>=1.6.0 in /opt/conda/lib/python3.9/site-packages (from distributed~=2023.9.0->mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (3.0.0)\n",
+      "Requirement already satisfied: tornado>=6.0.4 in /opt/conda/lib/python3.9/site-packages (from distributed~=2023.9.0->mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (6.4)\n",
+      "Requirement already satisfied: zict>=3.0.0 in /opt/conda/lib/python3.9/site-packages (from distributed~=2023.9.0->mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (3.0.0)\n",
+      "Requirement already satisfied: gitdb<5,>=4.0.1 in /opt/conda/lib/python3.9/site-packages (from GitPython>=3.1.41,~=3.1->mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (4.0.11)\n",
+      "Requirement already satisfied: jedi>=0.16 in /opt/conda/lib/python3.9/site-packages (from ipython~=8.10->mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (0.19.1)\n",
+      "Requirement already satisfied: matplotlib-inline in /opt/conda/lib/python3.9/site-packages (from ipython~=8.10->mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (0.1.6)\n",
+      "Requirement already satisfied: prompt-toolkit<3.1.0,>=3.0.41 in /opt/conda/lib/python3.9/site-packages (from ipython~=8.10->mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (3.0.43)\n",
+      "Requirement already satisfied: pygments>=2.4.0 in /opt/conda/lib/python3.9/site-packages (from ipython~=8.10->mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (2.17.2)\n",
+      "Requirement already satisfied: stack-data in /opt/conda/lib/python3.9/site-packages (from ipython~=8.10->mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (0.6.3)\n",
+      "Requirement already satisfied: traitlets>=5 in /opt/conda/lib/python3.9/site-packages (from ipython~=8.10->mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (5.14.1)\n",
+      "Requirement already satisfied: pexpect>4.3 in /opt/conda/lib/python3.9/site-packages (from ipython~=8.10->mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (4.9.0)\n",
+      "Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/lib/python3.9/site-packages (from jinja2>=3.1.3,~=3.1->mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (2.1.5)\n",
+      "Requirement already satisfied: absl-py<2,>=0.9 in /opt/conda/lib/python3.9/site-packages (from kfp~=1.8->mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (1.4.0)\n",
+      "Requirement already satisfied: kubernetes<26,>=8.0.0 in /opt/conda/lib/python3.9/site-packages (from kfp~=1.8->mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (25.3.0)\n",
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+      "Requirement already satisfied: sqlparse<1,>=0.4.0 in /opt/conda/lib/python3.9/site-packages (from mlflow~=2.8->mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (0.4.4)\n",
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+      "Requirement already satisfied: docker<8,>=4.0.0 in /opt/conda/lib/python3.9/site-packages (from mlflow~=2.8->mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (7.0.0)\n",
+      "Requirement already satisfied: Flask<4 in /opt/conda/lib/python3.9/site-packages (from mlflow~=2.8->mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (3.0.2)\n",
+      "Requirement already satisfied: querystring-parser<2 in /opt/conda/lib/python3.9/site-packages (from mlflow~=2.8->mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (1.2.4)\n",
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+      "Requirement already satisfied: matplotlib<4 in /opt/conda/lib/python3.9/site-packages (from mlflow~=2.8->mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (3.8.3)\n",
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+      "Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/lib/python3.9/site-packages (from msrest~=0.6.21->mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (2024.2.2)\n",
+      "Requirement already satisfied: nbconvert>=6.4.5 in /opt/conda/lib/python3.9/site-packages (from nuclio-jupyter~=0.9.15->mlrun[complete]==1.6.1->-r /empty/requirements.txt (line 1)) (7.16.1)\n",
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+      "Collecting networkx (from torch>=1.9->optimum~=1.6.4->-r /empty/requirements.txt (line 4))\n",
+      "  Obtaining dependency information for networkx from https://files.pythonhosted.org/packages/d5/f0/8fbc882ca80cf077f1b246c0e3c3465f7f415439bdea6b899f6b19f61f70/networkx-3.2.1-py3-none-any.whl.metadata\n",
+      "  Downloading networkx-3.2.1-py3-none-any.whl.metadata (5.2 kB)\n",
+      "Collecting nvidia-cuda-nvrtc-cu12==12.1.105 (from torch>=1.9->optimum~=1.6.4->-r /empty/requirements.txt (line 4))\n",
+      "  Obtaining dependency information for nvidia-cuda-nvrtc-cu12==12.1.105 from https://files.pythonhosted.org/packages/b6/9f/c64c03f49d6fbc56196664d05dba14e3a561038a81a638eeb47f4d4cfd48/nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-manylinux1_x86_64.whl.metadata\n",
+      "  Downloading nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-manylinux1_x86_64.whl.metadata (1.5 kB)\n",
+      "Collecting nvidia-cuda-runtime-cu12==12.1.105 (from torch>=1.9->optimum~=1.6.4->-r /empty/requirements.txt (line 4))\n",
+      "  Obtaining dependency information for nvidia-cuda-runtime-cu12==12.1.105 from https://files.pythonhosted.org/packages/eb/d5/c68b1d2cdfcc59e72e8a5949a37ddb22ae6cade80cd4a57a84d4c8b55472/nvidia_cuda_runtime_cu12-12.1.105-py3-none-manylinux1_x86_64.whl.metadata\n",
+      "  Downloading nvidia_cuda_runtime_cu12-12.1.105-py3-none-manylinux1_x86_64.whl.metadata (1.5 kB)\n",
+      "Collecting nvidia-cuda-cupti-cu12==12.1.105 (from torch>=1.9->optimum~=1.6.4->-r /empty/requirements.txt (line 4))\n",
+      "  Obtaining dependency information for nvidia-cuda-cupti-cu12==12.1.105 from https://files.pythonhosted.org/packages/7e/00/6b218edd739ecfc60524e585ba8e6b00554dd908de2c9c66c1af3e44e18d/nvidia_cuda_cupti_cu12-12.1.105-py3-none-manylinux1_x86_64.whl.metadata\n",
+      "  Downloading nvidia_cuda_cupti_cu12-12.1.105-py3-none-manylinux1_x86_64.whl.metadata (1.6 kB)\n",
+      "Collecting nvidia-cudnn-cu12==8.9.2.26 (from torch>=1.9->optimum~=1.6.4->-r /empty/requirements.txt (line 4))\n",
+      "  Obtaining dependency information for nvidia-cudnn-cu12==8.9.2.26 from https://files.pythonhosted.org/packages/ff/74/a2e2be7fb83aaedec84f391f082cf765dfb635e7caa9b49065f73e4835d8/nvidia_cudnn_cu12-8.9.2.26-py3-none-manylinux1_x86_64.whl.metadata\n",
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+      "  Downloading nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl.metadata (1.5 kB)\n",
+      "Collecting nvidia-cusolver-cu12==11.4.5.107 (from torch>=1.9->optimum~=1.6.4->-r /empty/requirements.txt (line 4))\n",
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+      "  Downloading nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl.metadata (1.6 kB)\n",
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+      "  Obtaining dependency information for nvidia-cusparse-cu12==12.1.0.106 from https://files.pythonhosted.org/packages/65/5b/cfaeebf25cd9fdec14338ccb16f6b2c4c7fa9163aefcf057d86b9cc248bb/nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl.metadata\n",
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+      "Collecting nvidia-nccl-cu12==2.19.3 (from torch>=1.9->optimum~=1.6.4->-r /empty/requirements.txt (line 4))\n",
+      "  Obtaining dependency information for nvidia-nccl-cu12==2.19.3 from https://files.pythonhosted.org/packages/38/00/d0d4e48aef772ad5aebcf70b73028f88db6e5640b36c38e90445b7a57c45/nvidia_nccl_cu12-2.19.3-py3-none-manylinux1_x86_64.whl.metadata\n",
+      "  Downloading nvidia_nccl_cu12-2.19.3-py3-none-manylinux1_x86_64.whl.metadata (1.8 kB)\n",
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+      "  Obtaining dependency information for nvidia-nvtx-cu12==12.1.105 from https://files.pythonhosted.org/packages/da/d3/8057f0587683ed2fcd4dbfbdfdfa807b9160b809976099d36b8f60d08f03/nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl.metadata\n",
+      "  Downloading nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl.metadata (1.7 kB)\n",
+      "Collecting triton==2.2.0 (from torch>=1.9->optimum~=1.6.4->-r /empty/requirements.txt (line 4))\n",
+      "  Obtaining dependency information for triton==2.2.0 from https://files.pythonhosted.org/packages/6a/5c/01d9f062f719581cf6e60053e1a005d666ec67dcb59630fffaa3a3e5c9d8/triton-2.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata\n",
+      "  Downloading triton-2.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.4 kB)\n",
+      "Collecting nvidia-nvjitlink-cu12 (from nvidia-cusolver-cu12==11.4.5.107->torch>=1.9->optimum~=1.6.4->-r /empty/requirements.txt (line 4))\n",
+      "  Obtaining dependency information for nvidia-nvjitlink-cu12 from https://files.pythonhosted.org/packages/58/d1/d1c80553f9d5d07b6072bc132607d75a0ef3600e28e1890e11c0f55d7346/nvidia_nvjitlink_cu12-12.4.99-py3-none-manylinux2014_x86_64.whl.metadata\n",
+      "  Downloading nvidia_nvjitlink_cu12-12.4.99-py3-none-manylinux2014_x86_64.whl.metadata (1.5 kB)\n",
+      "INFO: pip is looking at multiple versions of transformers[sentencepiece] to determine which version is compatible with other requirements. This could take a while.\n",
+      "Collecting transformers[sentencepiece]>=4.26.0 (from optimum~=1.6.4->-r /empty/requirements.txt (line 4))\n",
+      "  Obtaining dependency information for transformers[sentencepiece]>=4.26.0 from https://files.pythonhosted.org/packages/a4/73/f620d76193954e16db3d5c53a07d956d7b9c800e570758d3bff91906d4a4/transformers-4.39.0-py3-none-any.whl.metadata\n",
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+      "  Obtaining dependency information for transformers[sentencepiece]>=4.26.0 from https://files.pythonhosted.org/packages/b6/4d/fbe6d89fde59d8107f0a02816c4ac4542a8f9a85559fdf33c68282affcc1/transformers-4.38.2-py3-none-any.whl.metadata\n",
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+      "  Obtaining dependency information for transformers[sentencepiece]>=4.26.0 from https://files.pythonhosted.org/packages/3e/6b/1b589f7b69aaea8193cf5bc91cf97410284aecd97b6312cdb08baedbdffe/transformers-4.38.1-py3-none-any.whl.metadata\n",
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+      "  Obtaining dependency information for transformers[sentencepiece]>=4.26.0 from https://files.pythonhosted.org/packages/91/89/5416dc364c7ef0711c564fd61a69b03d1e40eeb5c506c38e53ba8a969e79/transformers-4.38.0-py3-none-any.whl.metadata\n",
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+      "  Obtaining dependency information for transformers[sentencepiece]>=4.26.0 from https://files.pythonhosted.org/packages/85/f6/c5065913119c41ecad148c34e3a861f719e16b89a522287213698da911fc/transformers-4.37.2-py3-none-any.whl.metadata\n",
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+      "  Obtaining dependency information for transformers[sentencepiece]>=4.26.0 from https://files.pythonhosted.org/packages/ad/67/b4d6a51dcaf988cb45b31e26c6e33fb169fe34ba5fb168b086309bd7c028/transformers-4.37.1-py3-none-any.whl.metadata\n",
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+      "  Obtaining dependency information for transformers[sentencepiece]>=4.26.0 from https://files.pythonhosted.org/packages/3c/45/52133ce6bce49a099cc865599803bf1fad93de887276f728e56848d77a70/transformers-4.37.0-py3-none-any.whl.metadata\n",
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+      "INFO: pip is still looking at multiple versions of transformers[sentencepiece] to determine which version is compatible with other requirements. This could take a while.\n",
+      "  Obtaining dependency information for transformers[sentencepiece]>=4.26.0 from https://files.pythonhosted.org/packages/20/0a/739426a81f7635b422fbe6cb8d1d99d1235579a6ac8024c13d743efa6847/transformers-4.36.2-py3-none-any.whl.metadata\n",
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+      "  Obtaining dependency information for transformers[sentencepiece]>=4.26.0 from https://files.pythonhosted.org/packages/fc/04/0aad491cd98b09236c54ab849863ee85421eeda5138bbf9d33ecc594652b/transformers-4.36.1-py3-none-any.whl.metadata\n",
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+      "  Obtaining dependency information for transformers[sentencepiece]>=4.26.0 from https://files.pythonhosted.org/packages/0f/12/d8e27a190ca67811f81deea3183b528d9169f10b74d827e0b9211520ecfa/transformers-4.36.0-py3-none-any.whl.metadata\n",
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+      "  Obtaining dependency information for transformers[sentencepiece]>=4.26.0 from https://files.pythonhosted.org/packages/12/dd/f17b11a93a9ca27728e12512d167eb1281c151c4c6881d3ab59eb58f4127/transformers-4.35.2-py3-none-any.whl.metadata\n",
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+      "  Obtaining dependency information for transformers[sentencepiece]>=4.26.0 from https://files.pythonhosted.org/packages/92/ba/cfff7e01f7070d9fca3964bf42b2257b86964c3e6763b8d5435436cc1d77/transformers-4.35.1-py3-none-any.whl.metadata\n",
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+      "INFO: This is taking longer than usual. You might need to provide the dependency resolver with stricter constraints to reduce runtime. See https://pip.pypa.io/warnings/backtracking for guidance. If you want to abort this run, press Ctrl + C.\n",
+      "  Obtaining dependency information for transformers[sentencepiece]>=4.26.0 from https://files.pythonhosted.org/packages/9a/06/e4ec2a321e57c03b7e9345d709d554a52c33760e5015fdff0919d9459af0/transformers-4.35.0-py3-none-any.whl.metadata\n",
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+      "  Obtaining dependency information for transformers[sentencepiece]>=4.26.0 from https://files.pythonhosted.org/packages/1a/d1/3bba59606141ae808017f6fde91453882f931957f125009417b87a281067/transformers-4.34.0-py3-none-any.whl.metadata\n",
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+      "  Obtaining dependency information for transformers[sentencepiece]>=4.26.0 from https://files.pythonhosted.org/packages/1a/06/3817f9bb923437ead9a794f0ac0d03b8b5e0478ab112db4c413dd37c09da/transformers-4.33.2-py3-none-any.whl.metadata\n",
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+      "  Obtaining dependency information for transformers[sentencepiece]>=4.26.0 from https://files.pythonhosted.org/packages/13/30/54b59e73400df3de506ad8630284e9fd63f4b94f735423d55fc342181037/transformers-4.33.1-py3-none-any.whl.metadata\n",
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+      "  Obtaining dependency information for transformers[sentencepiece]>=4.26.0 from https://files.pythonhosted.org/packages/e1/9d/4d9fe5c3b820db10773392ac5f4a0c8dab668f70b245ce2ce09785166128/transformers-4.33.0-py3-none-any.whl.metadata\n",
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+      "  Obtaining dependency information for transformers[sentencepiece]>=4.26.0 from https://files.pythonhosted.org/packages/83/8d/f65f8138365462ace54458a9e164f4b28ce1141361970190eef36bdef986/transformers-4.32.1-py3-none-any.whl.metadata\n",
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+      "Collecting sentencepiece!=0.1.92,>=0.1.91 (from transformers~=4.26.1->-r /empty/requirements.txt (line 5))\n",
+      "  Obtaining dependency information for sentencepiece!=0.1.92,>=0.1.91 from https://files.pythonhosted.org/packages/5f/01/c95e42eb86282b2c79305d3e0b0ca5a743f85a61262bb7130999c70b9374/sentencepiece-0.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata\n",
+      "  Downloading sentencepiece-0.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (7.7 kB)\n",
+      "Collecting protobuf>=3.20.2 (from onnx~=1.14.1->-r /empty/requirements.txt (line 2))\n",
+      "  Obtaining dependency information for protobuf>=3.20.2 from https://files.pythonhosted.org/packages/38/b1/d9b615dceb67ac38e13cbd7680c27182b40154996022cbb244ba1ac7d30f/protobuf-3.20.2-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata\n",
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+      "Collecting humanfriendly>=9.1 (from coloredlogs->onnxruntime~=1.16.1->-r /empty/requirements.txt (line 3))\n",
+      "  Obtaining dependency information for humanfriendly>=9.1 from https://files.pythonhosted.org/packages/f0/0f/310fb31e39e2d734ccaa2c0fb981ee41f7bd5056ce9bc29b2248bd569169/humanfriendly-10.0-py2.py3-none-any.whl.metadata\n",
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+      "INFO: pip is looking at multiple versions of multiprocess to determine which version is compatible with other requirements. This could take a while.\n",
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+      "  Downloading multiprocess-0.70.15-py39-none-any.whl.metadata (7.2 kB)\n",
+      "  Obtaining dependency information for multiprocess from https://files.pythonhosted.org/packages/6a/f4/fbeb03ef7abdda54db4a6a75c971b88ab73d724ff09e3275cc1e99f1c946/multiprocess-0.70.14-py39-none-any.whl.metadata\n",
+      "  Downloading multiprocess-0.70.14-py39-none-any.whl.metadata (6.6 kB)\n",
+      "Collecting mpmath>=0.19 (from sympy->onnxruntime~=1.16.1->-r /empty/requirements.txt (line 3))\n",
+      "  Obtaining dependency information for mpmath>=0.19 from https://files.pythonhosted.org/packages/43/e3/7d92a15f894aa0c9c4b49b8ee9ac9850d6e63b03c9c32c0367a13ae62209/mpmath-1.3.0-py3-none-any.whl.metadata\n",
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+      "Downloading nvidia_nvjitlink_cu12-12.4.99-py3-none-manylinux2014_x86_64.whl (21.1 MB)\n",
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+      "Installing collected packages: tokenizers, sentencepiece, mpmath, flatbuffers, sympy, regex, protobuf, nvidia-nvtx-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, numpy, networkx, humanfriendly, filelock, dill, triton, responses, onnx, nvidia-cusparse-cu12, nvidia-cudnn-cu12, multiprocess, huggingface-hub, coloredlogs, transformers, scikit-learn, onnxruntime, nvidia-cusolver-cu12, torch, datasets, optimum\n",
+      "  Attempting uninstall: protobuf\n",
+      "    Found existing installation: protobuf 3.20.3\n",
+      "    Uninstalling protobuf-3.20.3:\n",
+      "      Successfully uninstalled protobuf-3.20.3\n",
+      "  Attempting uninstall: numpy\n",
+      "    Found existing installation: numpy 1.26.4\n",
+      "    Uninstalling numpy-1.26.4:\n",
+      "      Successfully uninstalled numpy-1.26.4\n",
+      "  Attempting uninstall: scikit-learn\n",
+      "    Found existing installation: scikit-learn 1.4.1.post1\n",
+      "    Uninstalling scikit-learn-1.4.1.post1:\n",
+      "      Successfully uninstalled scikit-learn-1.4.1.post1\n",
+      "Successfully installed coloredlogs-15.0.1 datasets-2.10.1 dill-0.3.6 filelock-3.13.1 flatbuffers-24.3.7 huggingface-hub-0.21.4 humanfriendly-10.0 mpmath-1.3.0 multiprocess-0.70.14 networkx-3.2.1 numpy-1.23.5 nvidia-cublas-cu12-12.1.3.1 nvidia-cuda-cupti-cu12-12.1.105 nvidia-cuda-nvrtc-cu12-12.1.105 nvidia-cuda-runtime-cu12-12.1.105 nvidia-cudnn-cu12-8.9.2.26 nvidia-cufft-cu12-11.0.2.54 nvidia-curand-cu12-10.3.2.106 nvidia-cusolver-cu12-11.4.5.107 nvidia-cusparse-cu12-12.1.0.106 nvidia-nccl-cu12-2.19.3 nvidia-nvjitlink-cu12-12.4.99 nvidia-nvtx-cu12-12.1.105 onnx-1.14.1 onnxruntime-1.16.3 optimum-1.6.4 protobuf-3.20.2 regex-2023.12.25 responses-0.18.0 scikit-learn-1.0.2 sentencepiece-0.2.0 sympy-1.12 tokenizers-0.13.3 torch-2.2.1 transformers-4.26.1 triton-2.2.0\n",
+      "WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\n",
+      "\u001b[36mINFO\u001b[0m[0238] Taking snapshot of full filesystem...        \n",
+      "\u001b[36mINFO\u001b[0m[0463] Pushing image to docker-registry.default-tenant.app.app-lab-2-b688.iguazio-cd2.com/mlrun/func-hugging-face-trainer-avia-hugging-face-classifier-trainer:latest \n",
+      "\u001b[36mINFO\u001b[0m[0493] Pushed docker-registry.default-tenant.app.app-lab-2-b688.iguazio-cd2.com/mlrun/func-hugging-face-trainer-avia-hugging-face-classifier-trainer@sha256:691d0bb3c23487b4b5d2f84ab323c24735626ee81681475f53a4158b72d4cfee \n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "BuildStatus(ready=True, outputs={'image': '.mlrun/func-hugging-face-trainer-avia-hugging-face-classifier-trainer:latest'})"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "project.build_function(\"hugging-face-classifier-trainer\",with_mlrun=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "> 2024-03-24 17:22:42,252 [info] Storing function: {'name': 'hugging-face-classifier-trainer-train', 'uid': '53252ce7aacb4b1aacf86bf3b862daa2', 'db': 'http://mlrun-api:8080'}\n",
+      "> 2024-03-24 17:22:42,536 [info] Job is running in the background, pod: hugging-face-classifier-trainer-train-dqqfr\n",
+      "> 2024-03-24 17:24:43,288 [info] 'train_test_split_size' is not provided, setting train_test_split_size to 0.2\n",
+      "> 2024-03-24 17:24:43,847 [info] Loading and editing Shayanvsf/US_Airline_Sentiment dataset from Hugging Face hub\n",
+      "Downloading metadata: 100%|██████████| 1.03k/1.03k [00:00<00:00, 6.77MB/s]\n",
+      "Downloading and preparing dataset None/None (download: 265.13 KiB, generated: 1.50 MiB, post-processed: Unknown size, total: 1.76 MiB) to /root/.cache/huggingface/datasets/Shayanvsf___parquet/Shayanvsf--US_Airline_Sentiment-1319c42f87c44b2f/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec...\n",
+      "Downloading data files:   0%|          | 0/3 [00:00<?, ?it/s]\n",
+      "Downloading data: 100%|██████████| 92.6k/92.6k [00:00<00:00, 59.3MB/s]\n",
+      "Downloading data files:  33%|███▎      | 1/3 [00:00<00:00,  6.42it/s]\n",
+      "Downloading data: 100%|██████████| 605k/605k [00:00<00:00, 81.8MB/s]\n",
+      "Downloading data files:  67%|██████▋   | 2/3 [00:00<00:00,  6.59it/s]\n",
+      "Downloading data: 100%|██████████| 179k/179k [00:00<00:00, 50.9MB/s]\n",
+      "Downloading data files: 100%|██████████| 3/3 [00:00<00:00,  6.62it/s]\n",
+      "Extracting data files: 100%|██████████| 3/3 [00:00<00:00, 1263.34it/s]\n",
+      "Dataset parquet downloaded and prepared to /root/.cache/huggingface/datasets/Shayanvsf___parquet/Shayanvsf--US_Airline_Sentiment-1319c42f87c44b2f/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec. Subsequent calls will reuse this data.\n",
+      "100%|██████████| 3/3 [00:00<00:00, 978.99it/s]                              \n",
+      "Some weights of the model checkpoint at distilbert-base-uncased were not used when initializing DistilBertForSequenceClassification: ['vocab_layer_norm.bias', 'vocab_transform.weight', 'vocab_transform.bias', 'vocab_projector.weight', 'vocab_projector.bias', 'vocab_layer_norm.weight']\n",
+      "- This IS expected if you are initializing DistilBertForSequenceClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n",
+      "- This IS NOT expected if you are initializing DistilBertForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n",
+      "Some weights of DistilBertForSequenceClassification were not initialized from the model checkpoint at distilbert-base-uncased and are newly initialized: ['pre_classifier.bias', 'pre_classifier.weight', 'classifier.weight', 'classifier.bias']\n",
+      "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n",
+      "> 2024-03-24 17:24:47,076 [info] training 'huggingface-model'\n",
+      "The following columns in the training set don't have a corresponding argument in `DistilBertForSequenceClassification.forward` and have been ignored: text. If text are not expected by `DistilBertForSequenceClassification.forward`,  you can safely ignore this message.\n",
+      "This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning\n",
+      "***** Running training *****\n",
+      "  Num examples = 100\n",
+      "  Num Epochs = 3\n",
+      "  Instantaneous batch size per device = 16\n",
+      "  Total train batch size (w. parallel, distributed & accumulation) = 16\n",
+      "  Gradient Accumulation steps = 1\n",
+      "  Total optimization steps = 21\n",
+      "  Number of trainable parameters = 66955010\n",
+      "huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n",
+      "To disable this warning, you can either:\n",
+      "\t- Avoid using `tokenizers` before the fork if possible\n",
+      "\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n",
+      "  0%|          | 0/21 [00:00<?, ?it/s]You're using a DistilBertTokenizerFast tokenizer. Please note that with a fast tokenizer, using the `__call__` method is faster than using a method to encode the text followed by a call to the `pad` method to get a padded encoding.\n",
+      " 33%|███▎      | 7/21 [00:16<00:28,  2.02s/it]The following columns in the evaluation set don't have a corresponding argument in `DistilBertForSequenceClassification.forward` and have been ignored: text. If text are not expected by `DistilBertForSequenceClassification.forward`,  you can safely ignore this message.\n",
+      "***** Running Evaluation *****\n",
+      "  Num examples = 24\n",
+      "  Batch size = 16\n",
+      "\n",
+      "{'loss': 0.7005, 'learning_rate': 1.904761904761905e-05, 'epoch': 0.14}\n",
+      "{'loss': 0.6528, 'learning_rate': 1.8095238095238097e-05, 'epoch': 0.29}\n",
+      "{'loss': 0.6468, 'learning_rate': 1.7142857142857142e-05, 'epoch': 0.43}\n",
+      "{'loss': 0.5877, 'learning_rate': 1.6190476190476193e-05, 'epoch': 0.57}\n",
+      "{'loss': 0.6694, 'learning_rate': 1.523809523809524e-05, 'epoch': 0.71}\n",
+      "{'loss': 0.5219, 'learning_rate': 1.4285714285714287e-05, 'epoch': 0.86}\n",
+      "{'loss': 0.7052, 'learning_rate': 1.3333333333333333e-05, 'epoch': 1.0}\n",
+      "  0%|          | 0/2 [00:00<?, ?it/s]\u001b[A\n",
+      "100%|██████████| 2/2 [00:00<00:00,  4.86it/s]\u001b[Amain.py:561: FutureWarning:\n",
+      "\n",
+      "load_metric is deprecated and will be removed in the next major version of datasets. Use 'evaluate.load' instead, from the new library 🤗 Evaluate: https://huggingface.co/docs/evaluate\n",
+      "\n",
+      "\n",
+      "\n",
+      "Downloading builder script: 4.21kB [00:00, 11.4MB/s]                   \u001b[A\u001b[A\n",
+      "\n",
+      "\n",
+      "Downloading builder script: 6.50kB [00:00, 21.8MB/s]                   \u001b[A\u001b[A\n",
+      "                                              \n",
+      " 33%|███▎      | 7/21 [00:18<00:28,  2.02s/it]\n",
+      "100%|██████████| 2/2 [00:00<00:00,  4.86it/s]\u001b[A\n",
+      " 67%|██████▋   | 14/21 [00:34<00:14,  2.07s/it]The following columns in the evaluation set don't have a corresponding argument in `DistilBertForSequenceClassification.forward` and have been ignored: text. If text are not expected by `DistilBertForSequenceClassification.forward`,  you can safely ignore this message.\n",
+      "***** Running Evaluation *****\n",
+      "  Num examples = 24\n",
+      "  Batch size = 16\n",
+      "{'eval_loss': 0.5350419878959656, 'eval_accuracy': 0.7916666666666666, 'eval_f1': 0.0, 'eval_runtime': 1.5536, 'eval_samples_per_second': 15.448, 'eval_steps_per_second': 1.287, 'epoch': 1.0}\n",
+      "{'loss': 0.5942, 'learning_rate': 1.2380952380952383e-05, 'epoch': 1.14}\n",
+      "{'loss': 0.5899, 'learning_rate': 1.1428571428571429e-05, 'epoch': 1.29}\n",
+      "{'loss': 0.5317, 'learning_rate': 1.0476190476190477e-05, 'epoch': 1.43}\n",
+      "{'loss': 0.4516, 'learning_rate': 9.523809523809525e-06, 'epoch': 1.57}\n",
+      "{'loss': 0.5121, 'learning_rate': 8.571428571428571e-06, 'epoch': 1.71}\n",
+      "{'loss': 0.5264, 'learning_rate': 7.61904761904762e-06, 'epoch': 1.86}\n",
+      "{'loss': 0.539, 'learning_rate': 6.666666666666667e-06, 'epoch': 2.0}\n",
+      "\n",
+      "  0%|          | 0/2 [00:00<?, ?it/s]\u001b[A\n",
+      "                                               A\n",
+      " 67%|██████▋   | 14/21 [00:35<00:14,  2.07s/it]\n",
+      "100%|██████████| 2/2 [00:00<00:00,  4.95it/s]\u001b[A\n",
+      "100%|██████████| 21/21 [00:52<00:00,  2.05s/it]The following columns in the evaluation set don't have a corresponding argument in `DistilBertForSequenceClassification.forward` and have been ignored: text. If text are not expected by `DistilBertForSequenceClassification.forward`,  you can safely ignore this message.\n",
+      "***** Running Evaluation *****\n",
+      "  Num examples = 24\n",
+      "  Batch size = 16\n",
+      "{'eval_loss': 0.4877033233642578, 'eval_accuracy': 0.7916666666666666, 'eval_f1': 0.0, 'eval_runtime': 1.1789, 'eval_samples_per_second': 20.357, 'eval_steps_per_second': 1.696, 'epoch': 2.0}\n",
+      "{'loss': 0.4059, 'learning_rate': 5.7142857142857145e-06, 'epoch': 2.14}\n",
+      "{'loss': 0.5851, 'learning_rate': 4.761904761904762e-06, 'epoch': 2.29}\n",
+      "{'loss': 0.4135, 'learning_rate': 3.80952380952381e-06, 'epoch': 2.43}\n",
+      "{'loss': 0.6571, 'learning_rate': 2.8571428571428573e-06, 'epoch': 2.57}\n",
+      "{'loss': 0.4883, 'learning_rate': 1.904761904761905e-06, 'epoch': 2.71}\n",
+      "{'loss': 0.5114, 'learning_rate': 9.523809523809525e-07, 'epoch': 2.86}\n",
+      "{'loss': 0.5215, 'learning_rate': 0.0, 'epoch': 3.0}\n",
+      "\n",
+      "  0%|          | 0/2 [00:00<?, ?it/s]\u001b[A\n",
+      "                                               A\n",
+      "100%|██████████| 21/21 [00:54<00:00,  2.05s/it]\n",
+      "100%|██████████| 2/2 [00:00<00:00,  6.38it/s]\u001b[A\n",
+      "                                             \u001b[A\n",
+      "\n",
+      "Training completed. Do not forget to share your model on huggingface.co/models =)\n",
+      "\n",
+      "\n",
+      "100%|██████████| 21/21 [00:55<00:00,  2.62s/it]\n",
+      "tokenizer config file saved in /tmp/tokenizer/tokenizer_config.json\n",
+      "Special tokens file saved in /tmp/tokenizer/special_tokens_map.json\n",
+      "Configuration saved in /tmp/model/config.json\n",
+      "Model weights saved in /tmp/model/pytorch_model.bin\n",
+      "{'eval_loss': 0.4750453531742096, 'eval_accuracy': 0.7916666666666666, 'eval_f1': 0.0, 'eval_runtime': 1.0524, 'eval_samples_per_second': 22.806, 'eval_steps_per_second': 1.9, 'epoch': 3.0}\n",
+      "{'train_runtime': 55.1543, 'train_samples_per_second': 5.439, 'train_steps_per_second': 0.381, 'train_loss': 0.5624780683290391, 'epoch': 3.0}\n",
+      "> 2024-03-24 17:26:00,230 [info] To track results use the CLI: {'info_cmd': 'mlrun get run 53252ce7aacb4b1aacf86bf3b862daa2 -p hugging-face-trainer-avia', 'logs_cmd': 'mlrun logs 53252ce7aacb4b1aacf86bf3b862daa2 -p hugging-face-trainer-avia'}\n",
+      "> 2024-03-24 17:26:00,231 [info] Or click for UI: {'ui_url': 'https://dashboard.default-tenant.app.app-lab-2-b688.iguazio-cd2.com/mlprojects/hugging-face-trainer-avia/jobs/monitor/53252ce7aacb4b1aacf86bf3b862daa2/overview'}\n",
+      "> 2024-03-24 17:26:00,231 [info] Run execution finished: {'status': 'completed', 'name': 'hugging-face-classifier-trainer-train'}\n"
+     ]
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+       "  flex: 3\n",
+       "  min-width: 500px;\n",
+       "}\n",
+       ".master-wrapper * {\n",
+       "  box-sizing: border-box;\n",
+       "}\n",
+       "</style><script>\n",
+       "function copyToClipboard(fld) {\n",
+       "    if (document.queryCommandSupported && document.queryCommandSupported('copy')) {\n",
+       "        var textarea = document.createElement('textarea');\n",
+       "        textarea.textContent = fld.innerHTML;\n",
+       "        textarea.style.position = 'fixed';\n",
+       "        document.body.appendChild(textarea);\n",
+       "        textarea.select();\n",
+       "\n",
+       "        try {\n",
+       "            return document.execCommand('copy'); // Security exception may be thrown by some browsers.\n",
+       "        } catch (ex) {\n",
+       "\n",
+       "        } finally {\n",
+       "            document.body.removeChild(textarea);\n",
+       "        }\n",
+       "    }\n",
+       "}\n",
+       "function expandPanel(el) {\n",
+       "  const panelName = \"#\" + el.getAttribute('paneName');\n",
+       "  console.log(el.title);\n",
+       "\n",
+       "  document.querySelector(panelName + \"-title\").innerHTML = el.title\n",
+       "  iframe = document.querySelector(panelName + \"-body\");\n",
+       "\n",
+       "  const tblcss = `<style> body { font-family: Arial, Helvetica, sans-serif;}\n",
+       "    #csv { margin-bottom: 15px; }\n",
+       "    #csv table { border-collapse: collapse;}\n",
+       "    #csv table td { padding: 4px 8px; border: 1px solid silver;} </style>`;\n",
+       "\n",
+       "  function csvToHtmlTable(str) {\n",
+       "    return '<div id=\"csv\"><table><tr><td>' +  str.replace(/[\\n\\r]+$/g, '').replace(/[\\n\\r]+/g, '</td></tr><tr><td>')\n",
+       "      .replace(/,/g, '</td><td>') + '</td></tr></table></div>';\n",
+       "  }\n",
+       "\n",
+       "  function reqListener () {\n",
+       "    if (el.title.endsWith(\".csv\")) {\n",
+       "      iframe.setAttribute(\"srcdoc\", tblcss + csvToHtmlTable(this.responseText));\n",
+       "    } else {\n",
+       "      iframe.setAttribute(\"srcdoc\", this.responseText);\n",
+       "    }\n",
+       "    console.log(this.responseText);\n",
+       "  }\n",
+       "\n",
+       "  const oReq = new XMLHttpRequest();\n",
+       "  oReq.addEventListener(\"load\", reqListener);\n",
+       "  oReq.open(\"GET\", el.title);\n",
+       "  oReq.send();\n",
+       "\n",
+       "\n",
+       "  //iframe.src = el.title;\n",
+       "  const resultPane = document.querySelector(panelName + \"-pane\");\n",
+       "  if (resultPane.classList.contains(\"hidden\")) {\n",
+       "    resultPane.classList.remove(\"hidden\");\n",
+       "  }\n",
+       "}\n",
+       "function closePanel(el) {\n",
+       "  const panelName = \"#\" + el.getAttribute('paneName')\n",
+       "  const resultPane = document.querySelector(panelName + \"-pane\");\n",
+       "  if (!resultPane.classList.contains(\"hidden\")) {\n",
+       "    resultPane.classList.add(\"hidden\");\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "</script>\n",
+       "<div class=\"master-wrapper\">\n",
+       "  <div class=\"block master-tbl\"><div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>project</th>\n",
+       "      <th>uid</th>\n",
+       "      <th>iter</th>\n",
+       "      <th>start</th>\n",
+       "      <th>state</th>\n",
+       "      <th>name</th>\n",
+       "      <th>labels</th>\n",
+       "      <th>inputs</th>\n",
+       "      <th>parameters</th>\n",
+       "      <th>results</th>\n",
+       "      <th>artifacts</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <td>hugging-face-trainer-avia</td>\n",
+       "      <td><div title=\"53252ce7aacb4b1aacf86bf3b862daa2\"><a href=\"https://dashboard.default-tenant.app.app-lab-2-b688.iguazio-cd2.com/mlprojects/hugging-face-trainer-avia/jobs/monitor/53252ce7aacb4b1aacf86bf3b862daa2/overview\" target=\"_blank\" >...b862daa2</a></div></td>\n",
+       "      <td>0</td>\n",
+       "      <td>Mar 24 17:24:39</td>\n",
+       "      <td>completed</td>\n",
+       "      <td>hugging-face-classifier-trainer-train</td>\n",
+       "      <td><div class=\"dictlist\">v3io_user=avia</div><div class=\"dictlist\">kind=job</div><div class=\"dictlist\">owner=avia</div><div class=\"dictlist\">mlrun/client_version=1.6.1</div><div class=\"dictlist\">mlrun/client_python_version=3.9.16</div><div class=\"dictlist\">host=hugging-face-classifier-trainer-train-dqqfr</div></td>\n",
+       "      <td></td>\n",
+       "      <td><div class=\"dictlist\">hf_dataset=Shayanvsf/US_Airline_Sentiment</div><div class=\"dictlist\">drop_columns=['airline_sentiment_confidence', 'negativereason_confidence']</div><div class=\"dictlist\">pretrained_tokenizer=distilbert-base-uncased</div><div class=\"dictlist\">pretrained_model=distilbert-base-uncased</div><div class=\"dictlist\">model_class=transformers.AutoModelForSequenceClassification</div><div class=\"dictlist\">label_name=airline_sentiment</div><div class=\"dictlist\">num_of_train_samples=100</div><div class=\"dictlist\">metrics=['accuracy', 'f1']</div><div class=\"dictlist\">random_state=42</div><div class=\"dictlist\">TRAIN_output_dir=finetuning-sentiment-model-3000-samples</div><div class=\"dictlist\">TRAIN_learning_rate=2e-05</div><div class=\"dictlist\">TRAIN_per_device_train_batch_size=16</div><div class=\"dictlist\">TRAIN_per_device_eval_batch_size=16</div><div class=\"dictlist\">TRAIN_num_train_epochs=3</div><div class=\"dictlist\">TRAIN_weight_decay=0.01</div><div class=\"dictlist\">TRAIN_push_to_hub=False</div><div class=\"dictlist\">TRAIN_evaluation_strategy=epoch</div><div class=\"dictlist\">TRAIN_eval_steps=1</div><div class=\"dictlist\">TRAIN_logging_steps=1</div><div class=\"dictlist\">CLASS_num_labels=2</div></td>\n",
+       "      <td><div class=\"dictlist\">loss=0.5215</div><div class=\"dictlist\">learning_rate=0.0</div><div class=\"dictlist\">eval_loss=0.4750453531742096</div><div class=\"dictlist\">eval_accuracy=0.7916666666666666</div><div class=\"dictlist\">eval_f1=0.0</div><div class=\"dictlist\">eval_runtime=1.0524</div><div class=\"dictlist\">eval_samples_per_second=22.806</div><div class=\"dictlist\">eval_steps_per_second=1.9</div><div class=\"dictlist\">train_runtime=55.1543</div><div class=\"dictlist\">train_samples_per_second=5.439</div><div class=\"dictlist\">train_steps_per_second=0.381</div><div class=\"dictlist\">total_flos=3327208489680.0</div></td>\n",
+       "      <td><div class=\"artifact\" onclick=\"expandPanel(this)\" paneName=\"result30f29807\" title=\"files/v3io/projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/loss_plot.html\">loss_plot</div><div class=\"artifact\" onclick=\"expandPanel(this)\" paneName=\"result30f29807\" title=\"files/v3io/projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/learning_rate_plot.html\">learning_rate_plot</div><div class=\"artifact\" onclick=\"expandPanel(this)\" paneName=\"result30f29807\" title=\"files/v3io/projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/eval_loss_plot.html\">eval_loss_plot</div><div class=\"artifact\" onclick=\"expandPanel(this)\" paneName=\"result30f29807\" title=\"files/v3io/projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/eval_accuracy_plot.html\">eval_accuracy_plot</div><div class=\"artifact\" onclick=\"expandPanel(this)\" paneName=\"result30f29807\" title=\"files/v3io/projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/eval_f1_plot.html\">eval_f1_plot</div><div class=\"artifact\" onclick=\"expandPanel(this)\" paneName=\"result30f29807\" title=\"files/v3io/projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/eval_runtime_plot.html\">eval_runtime_plot</div><div class=\"artifact\" onclick=\"expandPanel(this)\" paneName=\"result30f29807\" title=\"files/v3io/projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/eval_samples_per_second_plot.html\">eval_samples_per_second_plot</div><div class=\"artifact\" onclick=\"expandPanel(this)\" paneName=\"result30f29807\" title=\"files/v3io/projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/eval_steps_per_second_plot.html\">eval_steps_per_second_plot</div><div title=\"v3io:///projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/tokenizer.zip\">tokenizer</div><div title=\"v3io:///projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/model/\">model</div></td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div></div>\n",
+       "  <div id=\"result30f29807-pane\" class=\"right-pane block hidden\">\n",
+       "    <div class=\"pane-header\">\n",
+       "      <span id=\"result30f29807-title\" class=\"pane-header-title\">Title</span>\n",
+       "      <span onclick=\"closePanel(this)\" paneName=\"result30f29807\" class=\"close clickable\">&times;</span>\n",
+       "    </div>\n",
+       "    <iframe class=\"fileview\" id=\"result30f29807-body\"></iframe>\n",
+       "  </div>\n",
+       "</div>\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<b> > to track results use the .show() or .logs() methods  or <a href=\"https://dashboard.default-tenant.app.app-lab-2-b688.iguazio-cd2.com/mlprojects/hugging-face-trainer-avia/jobs/monitor/53252ce7aacb4b1aacf86bf3b862daa2/overview\" target=\"_blank\">click here</a> to open in UI</b>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "> 2024-03-24 17:26:09,792 [info] Run execution finished: {'status': 'completed', 'name': 'hugging-face-classifier-trainer-train'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "train_run = hugging_face_classifier_trainer.run(params={\n",
+    "                                                        \"hf_dataset\": \"Shayanvsf/US_Airline_Sentiment\",\n",
+    "                                                        \"drop_columns\": [\n",
+    "                                                            \"airline_sentiment_confidence\",\n",
+    "                                                            \"negativereason_confidence\",\n",
+    "                                                        ],\n",
+    "                                                        \"pretrained_tokenizer\": \"distilbert-base-uncased\",\n",
+    "                                                        \"pretrained_model\": \"distilbert-base-uncased\",\n",
+    "                                                        \"model_class\": \"transformers.AutoModelForSequenceClassification\",\n",
+    "                                                        \"label_name\": \"airline_sentiment\",\n",
+    "                                                        \"num_of_train_samples\": 100,\n",
+    "                                                        \"metrics\": [\"accuracy\", \"f1\"],\n",
+    "                                                        \"random_state\": 42,\n",
+    "                                                        **additional_parameters\n",
+    "                                                    },\n",
+    "                                                    handler=\"train\",                                                    \n",
+    "                                                )"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": [
+    "[Back to the top](#top)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "mlrun-base",
+   "language": "python",
+   "name": "conda-env-mlrun-base-py"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.16"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/functions/master/hugging_face_classifier_trainer/0.3.0/src/hugging_face_classifier_trainer.py b/functions/master/hugging_face_classifier_trainer/0.3.0/src/hugging_face_classifier_trainer.py
new file mode 100755
index 00000000..29d07039
--- /dev/null
+++ b/functions/master/hugging_face_classifier_trainer/0.3.0/src/hugging_face_classifier_trainer.py
@@ -0,0 +1,832 @@
+import os
+import shutil
+import tempfile
+import zipfile
+from abc import ABC
+from typing import Any, Callable, Dict, List, Optional, Tuple, Union
+
+import mlrun
+import mlrun.datastore
+import mlrun.utils
+import numpy as np
+import pandas as pd
+import transformers
+from datasets import Dataset, load_dataset, load_metric
+from mlrun import MLClientCtx
+from mlrun import feature_store as fs
+from mlrun.artifacts import Artifact, PlotlyArtifact
+from mlrun.datastore import DataItem
+from mlrun.frameworks._common import CommonTypes, MLRunInterface
+from mlrun.utils import create_class
+from plotly import graph_objects as go
+from sklearn.model_selection import train_test_split
+from transformers import (
+    AutoTokenizer,
+    DataCollatorWithPadding,
+    EvalPrediction,
+    PreTrainedModel,
+    PreTrainedTokenizer,
+    Trainer,
+    TrainerCallback,
+    TrainerControl,
+    TrainerState,
+    TrainingArguments,
+)
+
+
+# ----------------------from MLRUN--------------------------------
+class HFORTOptimizerMLRunInterface(MLRunInterface, ABC):
+    """
+    Interface for adding MLRun features for tensorflow keras API.
+    """
+
+    # MLRun's context default name:
+    DEFAULT_CONTEXT_NAME = "mlrun-huggingface"
+
+    # Attributes to be inserted so the MLRun interface will be fully enabled.
+    _PROPERTIES = {
+        "_auto_log": False,
+        "_context": None,
+        "_model_name": "model",
+        "_tag": "",
+        "_labels": None,
+        "_extra_data": None,
+    }
+    _METHODS = ["enable_auto_logging"]
+    # Attributes to replace so the MLRun interface will be fully enabled.
+    _REPLACED_METHODS = [
+        "optimize",
+    ]
+
+    @classmethod
+    def add_interface(
+        cls,
+        obj,
+        restoration: CommonTypes.MLRunInterfaceRestorationType = None,
+    ):
+        """
+        Enrich the object with this interface properties, methods and functions, so it will have this TensorFlow.Keras
+        MLRun's features.
+        :param obj:                     The object to enrich his interface.
+        :param restoration: Restoration information tuple as returned from 'remove_interface' in order to
+                                        add the interface in a certain state.
+        """
+        super(HFORTOptimizerMLRunInterface, cls).add_interface(
+            obj=obj, restoration=restoration
+        )
+
+    @classmethod
+    def mlrun_optimize(cls):
+        """
+        MLRun's tf.keras.Model.fit wrapper. It will setup the optimizer when using horovod. The optimizer must be
+        passed in a keyword argument and when using horovod, it must be passed as an Optimizer instance, not a string.
+
+        raise MLRunInvalidArgumentError: In case the optimizer provided did not follow the instructions above.
+        """
+
+        def wrapper(self, *args, **kwargs):
+            save_dir = cls._get_function_argument(
+                self.optimize,
+                argument_name="save_dir",
+                passed_args=args,
+                passed_kwargs=kwargs,
+            )[0]
+
+            # Call the original optimize method:
+            result = self.original_optimize(*args, **kwargs)
+
+            if self._auto_log:
+                # Log the onnx model:
+                self._context.log_model(
+                    key="model",
+                    db_key=self._model_name,
+                    model_file=f"{save_dir}/model_optimized.onnx",
+                    tag=self._tag,
+                    framework="ONNX",
+                    labels=self._labels,
+                    extra_data=self._extra_data,
+                )
+
+            return result
+
+        return wrapper
+
+    def enable_auto_logging(
+        self,
+        context: mlrun.MLClientCtx,
+        model_name: str = "model",
+        tag: str = "",
+        labels: Dict[str, str] = None,
+        extra_data: dict = None,
+    ):
+        self._auto_log = True
+
+        self._context = context
+        self._model_name = model_name
+        self._tag = tag
+        self._labels = labels
+        self._extra_data = extra_data
+
+
+class HFTrainerMLRunInterface(MLRunInterface, ABC):
+    """
+    Interface for adding MLRun features for tensorflow keras API.
+    """
+
+    # MLRuns context default name:
+    DEFAULT_CONTEXT_NAME = "mlrun-huggingface"
+
+    # Attributes to replace so the MLRun interface will be fully enabled.
+    _REPLACED_METHODS = [
+        "train",
+        # "evaluate"
+    ]
+
+    @classmethod
+    def add_interface(
+        cls,
+        obj: Trainer,
+        restoration: CommonTypes.MLRunInterfaceRestorationType = None,
+    ):
+        """
+        Enrich the object with this interface properties, methods and functions, so it will have this TensorFlow.Keras
+        MLRuns features.
+        :param obj:                     The object to enrich his interface.
+        :param restoration: Restoration information tuple as returned from 'remove_interface' in order to
+                                        add the interface in a certain state.
+        """
+
+        super(HFTrainerMLRunInterface, cls).add_interface(
+            obj=obj, restoration=restoration
+        )
+
+    @classmethod
+    def mlrun_train(cls):
+
+        """
+        MLRuns tf.keras.Model.fit wrapper. It will setup the optimizer when using horovod. The optimizer must be
+        passed in a keyword argument and when using horovod, it must be passed as an Optimizer instance, not a string.
+
+        raise MLRunInvalidArgumentError: In case the optimizer provided did not follow the instructions above.
+        """
+
+        def wrapper(self: Trainer, *args, **kwargs):
+            # Restore the evaluation method as `train` will use it:
+            # cls._restore_attribute(obj=self, attribute_name="evaluate")
+
+            # Call the original fit method:
+            result = self.original_train(*args, **kwargs)
+
+            # Replace the evaluation method again:
+            # cls._replace_function(obj=self, function_name="evaluate")
+
+            return result
+
+        return wrapper
+
+
+class MLRunCallback(TrainerCallback):
+    """
+    Callback for collecting logs during training / evaluation of the `Trainer` API.
+    """
+
+    def __init__(
+        self,
+        context: mlrun.MLClientCtx = None,
+        model_name: str = "model",
+        tag: str = "",
+        labels: Dict[str, str] = None,
+        extra_data: dict = None,
+    ):
+        super().__init__()
+
+        # Store the configurations:
+        self._context = (
+            context
+            if context is not None
+            else mlrun.get_or_create_ctx("./mlrun-huggingface")
+        )
+        self._model_name = model_name
+        self._tag = tag
+        self._labels = labels
+        self._extra_data = extra_data if extra_data is not None else {}
+
+        # Set up the logging mode:
+        self._is_training = False
+        self._steps: List[List[int]] = []
+        self._metric_scores: Dict[str, List[float]] = {}
+        self._artifacts: Dict[str, Artifact] = {}
+
+    def on_epoch_begin(
+        self,
+        args: TrainingArguments,
+        state: TrainerState,
+        control: TrainerControl,
+        **kwargs,
+    ):
+        self._steps.append([])
+
+    def on_epoch_end(
+        self,
+        args: TrainingArguments,
+        state: TrainerState,
+        control: TrainerControl,
+        **kwargs,
+    ):
+        self._log_metrics()
+
+    def on_log(
+        self,
+        args: TrainingArguments,
+        state: TrainerState,
+        control: TrainerControl,
+        logs: Dict[str, float] = None,
+        **kwargs,
+    ):
+        recent_logs = state.log_history[-1].copy()
+
+        recent_logs.pop("epoch")
+        current_step = int(recent_logs.pop("step"))
+        if current_step not in self._steps[-1]:
+            self._steps[-1].append(current_step)
+
+        for metric_name, metric_score in recent_logs.items():
+            if metric_name.startswith("train_"):
+                if metric_name.split("train_")[1] not in self._metric_scores:
+                    self._metric_scores[metric_name] = [metric_score]
+                continue
+            if metric_name not in self._metric_scores:
+                self._metric_scores[metric_name] = []
+            self._metric_scores[metric_name].append(metric_score)
+
+    def on_train_begin(
+        self,
+        args: TrainingArguments,
+        state: TrainerState,
+        control: TrainerControl,
+        **kwargs,
+    ):
+        self._is_training = True
+
+    def on_train_end(
+        self,
+        args: TrainingArguments,
+        state: TrainerState,
+        control: TrainerControl,
+        model: PreTrainedModel = None,
+        tokenizer: PreTrainedTokenizer = None,
+        **kwargs,
+    ):
+        self._log_metrics()
+
+        temp_directory = tempfile.gettempdir()
+
+        # Save and log the tokenizer:
+        if tokenizer is not None:
+            # Save tokenizer:
+            tokenizer_dir = os.path.join(temp_directory, "tokenizer")
+            tokenizer.save_pretrained(save_directory=tokenizer_dir)
+            # Zip the tokenizer directory:
+            tokenizer_zip = shutil.make_archive(
+                base_name="tokenizer",
+                format="zip",
+                root_dir=tokenizer_dir,
+            )
+            # Log the zip file:
+            self._artifacts["tokenizer"] = self._context.log_artifact(
+                item="tokenizer", local_path=tokenizer_zip
+            )
+
+        # Save the model:
+        model_dir = os.path.join(temp_directory, "model")
+        model.save_pretrained(save_directory=model_dir)
+
+        # Zip the model directory:
+        shutil.make_archive(
+            base_name="model",
+            format="zip",
+            root_dir=model_dir,
+        )
+
+        # Log the model:
+        self._context.log_model(
+            key="model",
+            db_key=self._model_name,
+            model_file="model.zip",
+            tag=self._tag,
+            framework="Hugging Face",
+            labels=self._labels,
+            extra_data={**self._artifacts, **self._extra_data},
+        )
+
+    def on_evaluate(
+        self,
+        args: TrainingArguments,
+        state: TrainerState,
+        control: TrainerControl,
+        **kwargs,
+    ):
+        self._log_metrics()
+
+        if self._is_training:
+            return
+
+        # TODO: Update the model object
+
+    def _log_metrics(self):
+        for metric_name, metric_scores in self._metric_scores.items():
+            self._context.log_result(key=metric_name, value=metric_scores[-1])
+            if len(metric_scores) > 1:
+                self._log_metric_plot(name=metric_name, scores=metric_scores)
+        self._context.commit(completed=False)
+
+    def _log_metric_plot(self, name: str, scores: List[float]):
+        # Initialize a plotly figure:
+        metric_figure = go.Figure()
+
+        # Add titles:
+        metric_figure.update_layout(
+            title=name.capitalize().replace("_", " "),
+            xaxis_title="Samples",
+            yaxis_title="Scores",
+        )
+
+        # Draw:
+        metric_figure.add_trace(
+            go.Scatter(x=np.arange(len(scores)), y=scores, mode="lines")
+        )
+
+        # Create the plotly artifact:
+        artifact_name = f"{name}_plot"
+        artifact = PlotlyArtifact(key=artifact_name, figure=metric_figure)
+        self._artifacts[artifact_name] = self._context.log_artifact(artifact)
+
+
+def _apply_mlrun_on_trainer(
+    trainer: transformers.Trainer,
+    model_name: str = None,
+    tag: str = "",
+    context: mlrun.MLClientCtx = None,
+    auto_log: bool = True,
+    labels: Dict[str, str] = None,
+    extra_data: dict = None,
+    **kwargs,
+):
+    # Get parameters defaults:
+    if context is None:
+        context = mlrun.get_or_create_ctx(HFTrainerMLRunInterface.DEFAULT_CONTEXT_NAME)
+
+    HFTrainerMLRunInterface.add_interface(obj=trainer)
+
+    if auto_log:
+        trainer.add_callback(
+            MLRunCallback(
+                context=context,
+                model_name=model_name,
+                tag=tag,
+                labels=labels,
+                extra_data=extra_data,
+            )
+        )
+
+
+def _apply_mlrun_on_optimizer(
+    optimizer,
+    model_name: str = None,
+    tag: str = "",
+    context: mlrun.MLClientCtx = None,
+    auto_log: bool = True,
+    labels: Dict[str, str] = None,
+    extra_data: dict = None,
+    **kwargs,
+):
+    # Get parameters defaults:
+    if context is None:
+        context = mlrun.get_or_create_ctx(
+            HFORTOptimizerMLRunInterface.DEFAULT_CONTEXT_NAME
+        )
+
+    HFORTOptimizerMLRunInterface.add_interface(obj=optimizer)
+
+    if auto_log:
+        optimizer.enable_auto_logging(
+            context=context,
+            model_name=model_name,
+            tag=tag,
+            labels=labels,
+            extra_data=extra_data,
+        )
+
+
+def apply_mlrun(
+    huggingface_object,
+    model_name: str = None,
+    tag: str = "",
+    context: mlrun.MLClientCtx = None,
+    auto_log: bool = True,
+    labels: Dict[str, str] = None,
+    extra_data: dict = None,
+    **kwargs,
+):
+    """
+    Wrap the given model with MLRun's interface providing it with mlrun's additional features.
+    :param huggingface_object: The model to wrap. Can be loaded from the model path given as well.
+    :param model_name:         The model name to use for storing the model artifact. Default: "model".
+    :param tag:                The model's tag to log with.
+    :param context:            MLRun context to work with. If no context is given it will be retrieved via
+                               'mlrun.get_or_create_ctx(None)'
+    :param auto_log:           Whether to enable MLRun's auto logging. Default: True.
+    """
+
+    if isinstance(huggingface_object, transformers.Trainer):
+        return _apply_mlrun_on_trainer(
+            trainer=huggingface_object,
+            model_name=model_name,
+            tag=tag,
+            context=context,
+            auto_log=auto_log,
+            labels=labels,
+            extra_data=extra_data,
+        )
+    import optimum.onnxruntime as optimum_ort
+
+    if isinstance(huggingface_object, optimum_ort.ORTOptimizer):
+        return _apply_mlrun_on_optimizer(
+            optimizer=huggingface_object,
+            model_name=model_name,
+            tag=tag,
+            context=context,
+            auto_log=auto_log,
+            labels=labels,
+            extra_data=extra_data,
+        )
+    raise mlrun.errors.MLRunInvalidArgumentError
+
+
+# ---------------------- from auto_trainer--------------------------------
+class KWArgsPrefixes:
+    MODEL_CLASS = "CLASS_"
+    FIT = "FIT_"
+    TRAIN = "TRAIN_"
+    PREDICT = "PREDICT_"
+
+
+def _get_sub_dict_by_prefix(src: Dict, prefix_key: str) -> Dict[str, Any]:
+    """
+    Collect all the keys from the given dict that starts with the given prefix and creates a new dictionary with these
+    keys.
+
+    :param src:         The source dict to extract the values from.
+    :param prefix_key:  Only keys with this prefix will be returned. The keys in the result dict will be without this
+                        prefix.
+    """
+    return {
+        key.replace(prefix_key, ""): val
+        for key, val in src.items()
+        if key.startswith(prefix_key)
+    }
+
+
+def _get_dataframe(
+    context: MLClientCtx,
+    dataset: DataItem,
+    label_columns: Optional[Union[str, List[str]]] = None,
+    drop_columns: Union[str, List[str], int, List[int]] = None,
+) -> Tuple[pd.DataFrame, Optional[Union[str, List[str]]]]:
+    """
+    Getting the DataFrame of the dataset and drop the columns accordingly.
+
+    :param context:         MLRun context.
+    :param dataset:         The dataset to train the model on.
+                            Can be either a list of lists, dict, URI or a FeatureVector.
+    :param label_columns:   The target label(s) of the column(s) in the dataset. for Regression or
+                            Classification tasks.
+    :param drop_columns:    str/int or a list of strings/ints that represent the column names/indices to drop.
+    """
+    if isinstance(dataset, (list, dict)):
+        dataset = pd.DataFrame(dataset)
+        # Checking if drop_columns provided by integer type:
+        if drop_columns:
+            if isinstance(drop_columns, str) or (
+                isinstance(drop_columns, list)
+                and any(isinstance(col, str) for col in drop_columns)
+            ):
+                context.logger.error(
+                    "drop_columns must be an integer/list of integers if not provided with a URI/FeatureVector dataset"
+                )
+                raise ValueError
+            dataset.drop(drop_columns, axis=1, inplace=True)
+
+        return dataset, label_columns
+
+    store_uri_prefix, _ = mlrun.datastore.parse_store_uri(dataset.artifact_url)
+    if mlrun.utils.StorePrefix.FeatureVector == store_uri_prefix:
+        # feature-vector case:
+        label_columns = label_columns or dataset.meta.status.label_column
+        dataset = fs.get_offline_features(
+            dataset.meta.uri, drop_columns=drop_columns
+        ).to_dataframe()
+
+        context.logger.info(f"label columns: {label_columns}")
+    else:
+        # simple URL case:
+        dataset = dataset.as_df()
+        if drop_columns:
+            if all(col in dataset for col in drop_columns):
+                dataset = dataset.drop(drop_columns, axis=1)
+            else:
+                context.logger.info(
+                    "not all of the columns to drop in the dataset, drop columns process skipped"
+                )
+    return dataset, label_columns
+
+
+# ---------------------- Hugging Face Trainer --------------------------------
+
+
+def _create_compute_metrics(metrics: List[str]) -> Callable[[EvalPrediction], Dict]:
+    """
+    This function create and returns a function that will be used to compute metrics at evaluation.
+    :param metrics: List of different metrics for evaluate the model such as f1, accuracy etc.
+
+    :returns: Function that will be used to compute metrics at evaluation.
+             Must take a [`EvalPrediction`] and return a dictionary string to metric values.
+    """
+
+    def _compute_metrics(eval_pred):
+        logits, labels = eval_pred
+        predictions = np.argmax(logits, axis=-1)
+        metric_dict_results = {}
+        for metric in metrics:
+            load_met = load_metric(metric)
+            metric_res = load_met.compute(predictions=predictions, references=labels)[
+                metric
+            ]
+            metric_dict_results[metric] = metric_res
+
+        return metric_dict_results
+
+    return _compute_metrics
+
+
+def _edit_columns(
+    dataset: Dataset,
+    drop_columns: List[str] = None,
+    rename_columns: [str, str] = None,
+) -> Dataset:
+    """
+    Drop and renames that columns of the given dataset
+    :param dataset:         Dataset to process
+    :param drop_columns:    The columns to drop from the dataset.
+    :param rename_columns:  Dict of columns ro rename : {<old_name>: <new_name>, ...}
+
+    :returns: The dataset after the desired process
+    """
+    if drop_columns:
+        dataset = dataset.remove_columns(drop_columns)
+    if rename_columns:
+        dataset = dataset.rename_columns(rename_columns)
+    return dataset
+
+
+def _prepare_dataset(
+    context: MLClientCtx,
+    dataset_name: str,
+    label_name: str = None,
+    drop_columns: Optional[List[str]] = None,
+    num_of_train_samples: int = None,
+    train_test_split_size: float = None,
+    random_state: int = None,
+) -> Tuple[Dataset, Dataset]:
+    """
+    Loading the dataset and editing the columns
+
+    :param context:                 MLRun contex
+    :param dataset_name:            The name of the dataset to get from the HuggingFace hub
+    :param label_name:              The target label of the column in the dataset.
+    :param drop_columns:            The columns to drop from the dataset.
+    :param num_of_train_samples:    Max number of training samples, for debugging.
+    :param train_test_split_size:   Should be between 0.0 and 1.0 and represent the proportion of the dataset to include
+                                    in the test split.
+    :param random_state:            Random state for train_test_split
+
+    """
+
+    context.logger.info(
+        f"Loading and editing {dataset_name} dataset from Hugging Face hub"
+    )
+    rename_cols = {label_name: "labels"}
+
+    # Loading and editing dataset:
+    dataset = load_dataset(dataset_name)
+
+    # train set
+    train_dataset = dataset["train"]
+    if num_of_train_samples:
+        train_dataset = train_dataset.shuffle(seed=random_state).select(
+            list(range(num_of_train_samples))
+        )
+    train_dataset = _edit_columns(train_dataset, drop_columns, rename_cols)
+
+    # test set
+    test_dataset = dataset["test"]
+    if train_test_split_size or num_of_train_samples:
+        train_test_split_size = train_test_split_size or 0.2
+        num_of_test_samples = int(
+            (train_dataset.num_rows * train_test_split_size)
+            // (1 - train_test_split_size)
+        )
+        test_dataset = test_dataset.shuffle(seed=random_state).select(
+            list(range(num_of_test_samples))
+        )
+    test_dataset = _edit_columns(test_dataset, drop_columns, rename_cols)
+
+    return train_dataset, test_dataset
+
+
+def train(
+    context: MLClientCtx,
+    hf_dataset: str = None,
+    dataset: DataItem = None,
+    test_set: DataItem = None,
+    drop_columns: Optional[List[str]] = None,
+    pretrained_tokenizer: str = None,
+    pretrained_model: str = None,
+    model_class: str = None,
+    model_name: str = "huggingface-model",
+    label_name: str = "labels",
+    text_col: str = "text",
+    num_of_train_samples: int = None,
+    train_test_split_size: float = None,
+    metrics: List[str] = None,
+    random_state: int = None,
+):
+    """
+    Training and evaluating a pretrained model with a pretrained tokenizer over a dataset.
+    The dataset can be either be the name of the dataset that contains in the HuggingFace hub,
+    or a URI or a FeatureVector
+
+    :param context:                 MLRun context
+    :param hf_dataset:              The name of the dataset to get from the HuggingFace hub
+    :param dataset:                 The dataset to train the model on. Can be either a URI or a FeatureVector
+    :param test_set:                The test set to train the model with.
+    :param drop_columns:            The columns to drop from the dataset.
+    :param pretrained_tokenizer:    The name of the pretrained tokenizer from the HuggingFace hub.
+    :param pretrained_model:        The name of the pretrained model from the HuggingFace hub.
+    :param model_name:              The model's name to use for storing the model artifact, default to 'model'
+    :param model_class:             The class of the model, e.g. `transformers.AutoModelForSequenceClassification`
+    :param label_name:              The target label of the column in the dataset.
+    :param text_col:                The input text column un the dataset.
+    :param num_of_train_samples:    Max number of training samples, for debugging.
+    :param train_test_split_size:   Should be between 0.0 and 1.0 and represent the proportion of the dataset to include
+                                    in the test split.
+    :param metrics:                 List of different metrics for evaluate the model such as f1, accuracy etc.
+    :param random_state:            Random state for train_test_split
+    """
+
+    if train_test_split_size is None and test_set is None:
+        context.logger.info(
+            "'train_test_split_size' is not provided, setting train_test_split_size to 0.2"
+        )
+        train_test_split_size = 0.2
+
+    # Creating tokenizer:
+    tokenizer = AutoTokenizer.from_pretrained(pretrained_tokenizer)
+
+    def preprocess_function(examples):
+        return tokenizer(examples[text_col], truncation=True)
+
+    # prepare data for training
+    if hf_dataset:
+        train_dataset, test_dataset = _prepare_dataset(
+            context,
+            hf_dataset,
+            label_name,
+            drop_columns,
+            num_of_train_samples,
+            train_test_split_size,
+            random_state=random_state,
+        )
+    elif dataset:
+        # Get DataFrame by URL or by FeatureVector:
+        train_dataset, label_name = _get_dataframe(
+            context=context,
+            dataset=dataset,
+            label_columns=label_name,
+            drop_columns=drop_columns,
+        )
+        if test_set:
+            test_dataset, _ = _get_dataframe(
+                context=context,
+                dataset=test_set,
+                label_columns=label_name,
+                drop_columns=drop_columns,
+            )
+        else:
+            train_dataset, test_dataset = train_test_split(
+                train_dataset,
+                test_size=train_test_split_size,
+                random_state=random_state,
+            )
+        train_dataset = Dataset.from_pandas(train_dataset)
+        test_dataset = Dataset.from_pandas(test_dataset)
+    else:
+        raise mlrun.errors.MLRunInvalidArgumentError(
+            "Training data was not provided. A training dataset is mandatory for training."
+            " Please provide a training set using one of the arguments 'hf_dataset' or 'dataset'."
+        )
+
+    # Mapping datasets with the tokenizer:
+    tokenized_train = train_dataset.map(preprocess_function, batched=True)
+    tokenized_test = test_dataset.map(preprocess_function, batched=True)
+
+    # Creating data collator for batching:
+    data_collator = DataCollatorWithPadding(tokenizer=tokenizer)
+
+    # Parsing kwargs:
+    train_kwargs = _get_sub_dict_by_prefix(
+        src=context.parameters, prefix_key=KWArgsPrefixes.TRAIN
+    )
+    model_class_kwargs = _get_sub_dict_by_prefix(
+        src=context.parameters, prefix_key=KWArgsPrefixes.MODEL_CLASS
+    )
+
+    # Loading our pretrained model:
+    model_class_kwargs["pretrained_model_name_or_path"] = (
+        model_class_kwargs.get("pretrained_model_name_or_path") or pretrained_model
+    )
+    train_kwargs["hub_token"] = train_kwargs.get("hub_token") or pretrained_tokenizer
+    if not model_class_kwargs["pretrained_model_name_or_path"]:
+        raise mlrun.errors.MLRunRuntimeError(
+            "Must provide pretrained_model name as "
+            "function argument or in extra params"
+        )
+    model = create_class(model_class).from_pretrained(**model_class_kwargs)
+
+    # Preparing training arguments:
+    training_args = TrainingArguments(
+        **train_kwargs,
+    )
+
+    compute_metrics = _create_compute_metrics(metrics) if metrics else None
+    trainer = Trainer(
+        model=model,
+        args=training_args,
+        train_dataset=tokenized_train,
+        eval_dataset=tokenized_test,
+        tokenizer=tokenizer,
+        data_collator=data_collator,
+        compute_metrics=compute_metrics,
+    )
+
+    apply_mlrun(trainer, model_name=model_name)
+
+    # Apply training with evaluation:
+    context.logger.info(f"training '{model_name}'")
+    trainer.train()
+
+
+def _get_model_dir(model_uri: str):
+    model_file, _, _ = mlrun.artifacts.get_model(model_uri)
+    model_dir = tempfile.gettempdir()
+    # Unzip the Model:
+    with zipfile.ZipFile(model_file, "r") as zip_file:
+        zip_file.extractall(model_dir)
+
+    return model_dir
+
+
+def optimize(
+    model_path: str,
+    model_name: str = "optimized_model",
+    target_dir: str = "./optimized",
+    optimization_level: int = 1,
+):
+    """
+    Optimizing the transformer model using ONNX optimization.
+
+
+    :param model_path:          The path of the model to optimize.
+    :param model_name:          Name of the optimized model.
+    :param target_dir:          The directory to save the ONNX model.
+    :param optimization_level:  Optimization level performed by ONNX Runtime of the loaded graph. (default is 1)
+    """
+    # We import these in the function scope so ONNX won't be mandatory for the other handlers:
+    from optimum.onnxruntime import ORTModelForSequenceClassification, ORTOptimizer
+    from optimum.onnxruntime.configuration import OptimizationConfig
+
+    model_dir = _get_model_dir(model_uri=model_path)
+    # Creating configuration for optimization step:
+    optimization_config = OptimizationConfig(optimization_level=optimization_level)
+
+    # Converting our pretrained model to an ONNX-Runtime model:
+    ort_model = ORTModelForSequenceClassification.from_pretrained(
+        model_dir, from_transformers=True
+    )
+
+    # Creating an ONNX-Runtime optimizer from ONNX model:
+    optimizer = ORTOptimizer.from_pretrained(ort_model)
+
+    apply_mlrun(optimizer, model_name=model_name)
+    # Optimizing and saving the ONNX model:
+    optimizer.optimize(save_dir=target_dir, optimization_config=optimization_config)
diff --git a/functions/master/hugging_face_classifier_trainer/0.3.0/src/item.yaml b/functions/master/hugging_face_classifier_trainer/0.3.0/src/item.yaml
new file mode 100755
index 00000000..332902b3
--- /dev/null
+++ b/functions/master/hugging_face_classifier_trainer/0.3.0/src/item.yaml
@@ -0,0 +1,33 @@
+apiVersion: v1
+categories:
+- deep-learning
+- huggingface
+- machine-learning
+- model-training
+description: Automatic train and optimize functions for HuggingFace framework
+doc: ''
+example: hugging_face_classifier_trainer.ipynb
+generationDate: 2022-08-28:17-25
+hidden: false
+icon: ''
+labels:
+  author: davids
+maintainers: []
+marketplaceType: ''
+mlrunVersion: 1.6.1
+name: hugging_face_classifier_trainer
+platformVersion: 3.5.5
+spec:
+  filename: hugging_face_classifier_trainer.py
+  handler: train
+  image: mlrun/mlrun
+  kind: job
+  requirements:
+  - onnx~=1.14.1
+  - onnxruntime~=1.16.1
+  - optimum~=1.6.4
+  - transformers~=4.26.1
+  - datasets~=2.10.1
+  - scikit-learn~=1.0.2
+url: ''
+version: 0.3.0
diff --git a/functions/master/hugging_face_classifier_trainer/0.3.0/src/requirements.txt b/functions/master/hugging_face_classifier_trainer/0.3.0/src/requirements.txt
new file mode 100644
index 00000000..9d0db7b4
--- /dev/null
+++ b/functions/master/hugging_face_classifier_trainer/0.3.0/src/requirements.txt
@@ -0,0 +1,6 @@
+onnx~=1.14.1
+onnxruntime~=1.16.1
+optimum~=1.6.4
+transformers~=4.26.1
+datasets~=2.10.1
+scikit-learn~=1.0.2
\ No newline at end of file
diff --git a/functions/master/hugging_face_classifier_trainer/0.3.0/src/test_hugging_face_classifier_trainer.py b/functions/master/hugging_face_classifier_trainer/0.3.0/src/test_hugging_face_classifier_trainer.py
new file mode 100644
index 00000000..a5e0fee9
--- /dev/null
+++ b/functions/master/hugging_face_classifier_trainer/0.3.0/src/test_hugging_face_classifier_trainer.py
@@ -0,0 +1,145 @@
+# Copyright 2019 Iguazio
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+import os
+
+import mlrun
+import pytest
+from mlrun import import_function
+
+REQUIRED_ENV_VARS = [
+    "MLRUN_DBPATH",
+    "MLRUN_ARTIFACT_PATH",
+    "V3IO_USERNAME",
+    "V3IO_API",
+    "V3IO_ACCESS_KEY",
+]
+
+ADDITIONAL_PARAM_FOR_TRAIN = {
+    "TRAIN_output_dir": "finetuning-sentiment-model-3000-samples",
+    "TRAIN_learning_rate": 2e-5,
+    "TRAIN_per_device_train_batch_size": 16,
+    "TRAIN_per_device_eval_batch_size": 16,
+    "TRAIN_num_train_epochs": 2,
+    "TRAIN_weight_decay": 0.01,
+    "TRAIN_push_to_hub": False,
+    "TRAIN_evaluation_strategy": "epoch",
+    "TRAIN_eval_steps": 1,
+    "TRAIN_logging_steps": 1,
+    "CLASS_num_labels": 2,
+}
+
+
+def _validate_environment_variables() -> bool:
+    """
+    Checks that all required Environment variables are set.
+    """
+    environment_keys = os.environ.keys()
+    return all(key in environment_keys for key in REQUIRED_ENV_VARS)
+
+
+def _set_environment(env_file=None):
+    if env_file:
+        mlrun.set_env_from_file(env_file)
+    mlrun.get_or_create_project(
+        "hugging-face-classifier-trainer-test", context="./", user_project=True
+    )
+
+
+@pytest.mark.skipif(
+    condition=not _validate_environment_variables(),
+    reason="Project's environment variables are not set",
+)
+def test_train_sequence_classification():
+    _set_environment()
+
+    # Importing function:
+    fn = import_function("function.yaml")
+
+    train_run = None
+
+    try:
+        train_run = fn.run(
+            params={
+                "hf_dataset": "Shayanvsf/US_Airline_Sentiment",
+                "drop_columns": [
+                    "airline_sentiment_confidence",
+                    "negativereason_confidence",
+                ],
+                "pretrained_tokenizer": "distilbert-base-uncased",
+                "pretrained_model": "distilbert-base-uncased",
+                "model_class": "transformers.AutoModelForSequenceClassification",
+                "label_name": "airline_sentiment",
+                "num_of_train_samples": 100,
+                "metrics": ["accuracy", "f1"],
+                "random_state": 42,
+                **ADDITIONAL_PARAM_FOR_TRAIN,
+            },
+            handler="train",
+            local=True,
+        )
+    except Exception as exception:
+        print(f"- The test failed - raised the following error:\n- {exception}")
+    assert train_run and all(
+        key in train_run.outputs for key in ["model", "loss"]
+    ), "outputs should include more data"
+
+
+@pytest.mark.skipif(
+    condition=not _validate_environment_variables(),
+    reason="Project's environment variables are not set",
+)
+def test_train_and_optimize_sequence_classification():
+    _set_environment()
+
+    # Importing function:
+    fn = import_function("function.yaml")
+
+    train_run = None
+    optimize_run = None
+
+    try:
+        train_run = fn.run(
+            params={
+                "hf_dataset": "Shayanvsf/US_Airline_Sentiment",
+                "drop_columns": [
+                    "airline_sentiment_confidence",
+                    "negativereason_confidence",
+                ],
+                "pretrained_tokenizer": "distilbert-base-uncased",
+                "pretrained_model": "distilbert-base-uncased",
+                "model_class": "transformers.AutoModelForSequenceClassification",
+                "label_name": "airline_sentiment",
+                "num_of_train_samples": 100,
+                "metrics": ["accuracy", "f1"],
+                "random_state": 42,
+                **ADDITIONAL_PARAM_FOR_TRAIN,
+            },
+            handler="train",
+            local=True,
+        )
+
+        optimize_run = fn.run(
+            params={"model_path": train_run.outputs["model"]},
+            handler="optimize",
+            local=True,
+        )
+    except Exception as exception:
+        print(f"- The test failed - raised the following error:\n- {exception}")
+    assert train_run and all(
+        key in train_run.outputs for key in ["model", "loss"]
+    ), "outputs should include more data"
+    assert optimize_run and all(
+        key in optimize_run.outputs for key in ["model"]
+    ), "outputs should include more data"
diff --git a/functions/master/hugging_face_classifier_trainer/0.3.0/static/documentation.html b/functions/master/hugging_face_classifier_trainer/0.3.0/static/documentation.html
new file mode 100644
index 00000000..1652c838
--- /dev/null
+++ b/functions/master/hugging_face_classifier_trainer/0.3.0/static/documentation.html
@@ -0,0 +1,394 @@
+
+<!DOCTYPE html>
+
+<html lang="en">
+<head>
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+<span class="headerbtn__text-container">repository</span>
+</a>
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+<ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#submodules">
+   Submodules
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#module-hugging_face_classifier_trainer.hugging_face_classifier_trainer">
+   hugging_face_classifier_trainer.hugging_face_classifier_trainer module
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#module-hugging_face_classifier_trainer">
+   Module contents
+  </a>
+</li>
+</ul>
+</nav>
+</div>
+</div>
+<div class="article row">
+<div class="col pl-md-3 pl-lg-5 content-container">
+<!-- Table of contents that is only displayed when printing the page -->
+<div class="onlyprint" id="jb-print-docs-body">
+<h1>hugging_face_classifier_trainer package</h1>
+<!-- Table of contents -->
+<div id="print-main-content">
+<div id="jb-print-toc">
+<div>
+<h2> Contents </h2>
+</div>
+<nav aria-label="Page">
+<ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#submodules">
+   Submodules
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#module-hugging_face_classifier_trainer.hugging_face_classifier_trainer">
+   hugging_face_classifier_trainer.hugging_face_classifier_trainer module
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#module-hugging_face_classifier_trainer">
+   Module contents
+  </a>
+</li>
+</ul>
+</nav>
+</div>
+</div>
+</div>
+<main id="main-content" role="main">
+<div>
+<section id="hugging-face-classifier-trainer-package">
+<h1>hugging_face_classifier_trainer package<a class="headerlink" href="#hugging-face-classifier-trainer-package" title="Permalink to this headline">#</a></h1>
+<section id="submodules">
+<h2>Submodules<a class="headerlink" href="#submodules" title="Permalink to this headline">#</a></h2>
+</section>
+<section id="module-hugging_face_classifier_trainer.hugging_face_classifier_trainer">
+<span id="hugging-face-classifier-trainer-hugging-face-classifier-trainer-module"></span><h2>hugging_face_classifier_trainer.hugging_face_classifier_trainer module<a class="headerlink" href="#module-hugging_face_classifier_trainer.hugging_face_classifier_trainer" title="Permalink to this headline">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="hugging_face_classifier_trainer.hugging_face_classifier_trainer.HFORTOptimizerMLRunInterface">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">hugging_face_classifier_trainer.hugging_face_classifier_trainer.</span></span><span class="sig-name descname"><span class="pre">HFORTOptimizerMLRunInterface</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="hugging_face_classifier_trainer.html#HFORTOptimizerMLRunInterface"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#hugging_face_classifier_trainer.hugging_face_classifier_trainer.HFORTOptimizerMLRunInterface" title="Permalink to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">mlrun.frameworks._common.</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">abc.ABC</span></code></p>
+<p>Interface for adding MLRun features for tensorflow keras API.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="hugging_face_classifier_trainer.hugging_face_classifier_trainer.HFORTOptimizerMLRunInterface.DEFAULT_CONTEXT_NAME">
+<span class="sig-name descname"><span class="pre">DEFAULT_CONTEXT_NAME</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'mlrun-huggingface'</span></em><a class="headerlink" href="#hugging_face_classifier_trainer.hugging_face_classifier_trainer.HFORTOptimizerMLRunInterface.DEFAULT_CONTEXT_NAME" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="hugging_face_classifier_trainer.hugging_face_classifier_trainer.HFORTOptimizerMLRunInterface.add_interface">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">add_interface</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">obj</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">restoration</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">mlrun.frameworks._common.CommonTypes.MLRunInterfaceRestorationType</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="hugging_face_classifier_trainer.html#HFORTOptimizerMLRunInterface.add_interface"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#hugging_face_classifier_trainer.hugging_face_classifier_trainer.HFORTOptimizerMLRunInterface.add_interface" title="Permalink to this definition">#</a></dt>
+<dd><p>Enrich the object with this interface properties, methods and functions, so it will have this TensorFlow.Keras
+MLRun’s features.
+:param obj:                     The object to enrich his interface.
+:param restoration: Restoration information tuple as returned from ‘remove_interface’ in order to</p>
+<blockquote>
+<div><p>add the interface in a certain state.</p>
+</div></blockquote>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="hugging_face_classifier_trainer.hugging_face_classifier_trainer.HFORTOptimizerMLRunInterface.enable_auto_logging">
+<span class="sig-name descname"><span class="pre">enable_auto_logging</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">context</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">mlrun.execution.MLClientCtx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'model'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tag</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">''</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">labels</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">extra_data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="hugging_face_classifier_trainer.html#HFORTOptimizerMLRunInterface.enable_auto_logging"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#hugging_face_classifier_trainer.hugging_face_classifier_trainer.HFORTOptimizerMLRunInterface.enable_auto_logging" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="hugging_face_classifier_trainer.hugging_face_classifier_trainer.HFORTOptimizerMLRunInterface.mlrun_optimize">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">mlrun_optimize</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="hugging_face_classifier_trainer.html#HFORTOptimizerMLRunInterface.mlrun_optimize"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#hugging_face_classifier_trainer.hugging_face_classifier_trainer.HFORTOptimizerMLRunInterface.mlrun_optimize" title="Permalink to this definition">#</a></dt>
+<dd><p>MLRun’s tf.keras.Model.fit wrapper. It will setup the optimizer when using horovod. The optimizer must be
+passed in a keyword argument and when using horovod, it must be passed as an Optimizer instance, not a string.</p>
+<p>raise MLRunInvalidArgumentError: In case the optimizer provided did not follow the instructions above.</p>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="hugging_face_classifier_trainer.hugging_face_classifier_trainer.HFTrainerMLRunInterface">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">hugging_face_classifier_trainer.hugging_face_classifier_trainer.</span></span><span class="sig-name descname"><span class="pre">HFTrainerMLRunInterface</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="hugging_face_classifier_trainer.html#HFTrainerMLRunInterface"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#hugging_face_classifier_trainer.hugging_face_classifier_trainer.HFTrainerMLRunInterface" title="Permalink to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">mlrun.frameworks._common.</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">abc.ABC</span></code></p>
+<p>Interface for adding MLRun features for tensorflow keras API.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="hugging_face_classifier_trainer.hugging_face_classifier_trainer.HFTrainerMLRunInterface.DEFAULT_CONTEXT_NAME">
+<span class="sig-name descname"><span class="pre">DEFAULT_CONTEXT_NAME</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'mlrun-huggingface'</span></em><a class="headerlink" href="#hugging_face_classifier_trainer.hugging_face_classifier_trainer.HFTrainerMLRunInterface.DEFAULT_CONTEXT_NAME" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="hugging_face_classifier_trainer.hugging_face_classifier_trainer.HFTrainerMLRunInterface.add_interface">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">add_interface</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">obj</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">transformers.Trainer</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">restoration</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">mlrun.frameworks._common.CommonTypes.MLRunInterfaceRestorationType</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="hugging_face_classifier_trainer.html#HFTrainerMLRunInterface.add_interface"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#hugging_face_classifier_trainer.hugging_face_classifier_trainer.HFTrainerMLRunInterface.add_interface" title="Permalink to this definition">#</a></dt>
+<dd><p>Enrich the object with this interface properties, methods and functions, so it will have this TensorFlow.Keras
+MLRuns features.
+:param obj:                     The object to enrich his interface.
+:param restoration: Restoration information tuple as returned from ‘remove_interface’ in order to</p>
+<blockquote>
+<div><p>add the interface in a certain state.</p>
+</div></blockquote>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="hugging_face_classifier_trainer.hugging_face_classifier_trainer.HFTrainerMLRunInterface.mlrun_train">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">mlrun_train</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="hugging_face_classifier_trainer.html#HFTrainerMLRunInterface.mlrun_train"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#hugging_face_classifier_trainer.hugging_face_classifier_trainer.HFTrainerMLRunInterface.mlrun_train" title="Permalink to this definition">#</a></dt>
+<dd><p>MLRuns tf.keras.Model.fit wrapper. It will setup the optimizer when using horovod. The optimizer must be
+passed in a keyword argument and when using horovod, it must be passed as an Optimizer instance, not a string.</p>
+<p>raise MLRunInvalidArgumentError: In case the optimizer provided did not follow the instructions above.</p>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="hugging_face_classifier_trainer.hugging_face_classifier_trainer.KWArgsPrefixes">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">hugging_face_classifier_trainer.hugging_face_classifier_trainer.</span></span><span class="sig-name descname"><span class="pre">KWArgsPrefixes</span></span><a class="reference internal" href="hugging_face_classifier_trainer.html#KWArgsPrefixes"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#hugging_face_classifier_trainer.hugging_face_classifier_trainer.KWArgsPrefixes" title="Permalink to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="hugging_face_classifier_trainer.hugging_face_classifier_trainer.KWArgsPrefixes.FIT">
+<span class="sig-name descname"><span class="pre">FIT</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'FIT_'</span></em><a class="headerlink" href="#hugging_face_classifier_trainer.hugging_face_classifier_trainer.KWArgsPrefixes.FIT" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="hugging_face_classifier_trainer.hugging_face_classifier_trainer.KWArgsPrefixes.MODEL_CLASS">
+<span class="sig-name descname"><span class="pre">MODEL_CLASS</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'CLASS_'</span></em><a class="headerlink" href="#hugging_face_classifier_trainer.hugging_face_classifier_trainer.KWArgsPrefixes.MODEL_CLASS" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="hugging_face_classifier_trainer.hugging_face_classifier_trainer.KWArgsPrefixes.PREDICT">
+<span class="sig-name descname"><span class="pre">PREDICT</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'PREDICT_'</span></em><a class="headerlink" href="#hugging_face_classifier_trainer.hugging_face_classifier_trainer.KWArgsPrefixes.PREDICT" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="hugging_face_classifier_trainer.hugging_face_classifier_trainer.KWArgsPrefixes.TRAIN">
+<span class="sig-name descname"><span class="pre">TRAIN</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'TRAIN_'</span></em><a class="headerlink" href="#hugging_face_classifier_trainer.hugging_face_classifier_trainer.KWArgsPrefixes.TRAIN" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="hugging_face_classifier_trainer.hugging_face_classifier_trainer.MLRunCallback">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">hugging_face_classifier_trainer.hugging_face_classifier_trainer.</span></span><span class="sig-name descname"><span class="pre">MLRunCallback</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="hugging_face_classifier_trainer.html#MLRunCallback"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#hugging_face_classifier_trainer.hugging_face_classifier_trainer.MLRunCallback" title="Permalink to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">transformers.</span></code></p>
+<p>Callback for collecting logs during training / evaluation of the <cite>Trainer</cite> API.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="hugging_face_classifier_trainer.hugging_face_classifier_trainer.MLRunCallback.on_epoch_begin">
+<span class="sig-name descname"><span class="pre">on_epoch_begin</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">transformers.TrainingArguments</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">state</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">transformers.TrainerState</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">control</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">transformers.TrainerControl</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="hugging_face_classifier_trainer.html#MLRunCallback.on_epoch_begin"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#hugging_face_classifier_trainer.hugging_face_classifier_trainer.MLRunCallback.on_epoch_begin" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="hugging_face_classifier_trainer.hugging_face_classifier_trainer.MLRunCallback.on_epoch_end">
+<span class="sig-name descname"><span class="pre">on_epoch_end</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">transformers.TrainingArguments</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">state</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">transformers.TrainerState</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">control</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">transformers.TrainerControl</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="hugging_face_classifier_trainer.html#MLRunCallback.on_epoch_end"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#hugging_face_classifier_trainer.hugging_face_classifier_trainer.MLRunCallback.on_epoch_end" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="hugging_face_classifier_trainer.hugging_face_classifier_trainer.MLRunCallback.on_evaluate">
+<span class="sig-name descname"><span class="pre">on_evaluate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">transformers.TrainingArguments</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">state</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">transformers.TrainerState</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">control</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">transformers.TrainerControl</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="hugging_face_classifier_trainer.html#MLRunCallback.on_evaluate"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#hugging_face_classifier_trainer.hugging_face_classifier_trainer.MLRunCallback.on_evaluate" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="hugging_face_classifier_trainer.hugging_face_classifier_trainer.MLRunCallback.on_log">
+<span class="sig-name descname"><span class="pre">on_log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">transformers.TrainingArguments</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">state</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">transformers.TrainerState</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">control</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">transformers.TrainerControl</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="hugging_face_classifier_trainer.html#MLRunCallback.on_log"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#hugging_face_classifier_trainer.hugging_face_classifier_trainer.MLRunCallback.on_log" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="hugging_face_classifier_trainer.hugging_face_classifier_trainer.MLRunCallback.on_train_begin">
+<span class="sig-name descname"><span class="pre">on_train_begin</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">transformers.TrainingArguments</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">state</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">transformers.TrainerState</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">control</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">transformers.TrainerControl</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="hugging_face_classifier_trainer.html#MLRunCallback.on_train_begin"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#hugging_face_classifier_trainer.hugging_face_classifier_trainer.MLRunCallback.on_train_begin" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="hugging_face_classifier_trainer.hugging_face_classifier_trainer.MLRunCallback.on_train_end">
+<span class="sig-name descname"><span class="pre">on_train_end</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">transformers.TrainingArguments</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">state</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">transformers.TrainerState</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">control</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">transformers.TrainerControl</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">transformers.PreTrainedModel</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tokenizer</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">transformers.PreTrainedTokenizer</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="hugging_face_classifier_trainer.html#MLRunCallback.on_train_end"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#hugging_face_classifier_trainer.hugging_face_classifier_trainer.MLRunCallback.on_train_end" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="hugging_face_classifier_trainer.hugging_face_classifier_trainer.apply_mlrun">
+<span class="sig-prename descclassname"><span class="pre">hugging_face_classifier_trainer.hugging_face_classifier_trainer.</span></span><span class="sig-name descname"><span class="pre">apply_mlrun</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">huggingface_object</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tag</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">''</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">context</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">mlrun.execution.MLClientCtx</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">auto_log</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">labels</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">extra_data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="hugging_face_classifier_trainer.html#apply_mlrun"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#hugging_face_classifier_trainer.hugging_face_classifier_trainer.apply_mlrun" title="Permalink to this definition">#</a></dt>
+<dd><p>Wrap the given model with MLRun’s interface providing it with mlrun’s additional features.
+:param huggingface_object: The model to wrap. Can be loaded from the model path given as well.
+:param model_name:         The model name to use for storing the model artifact. Default: “model”.
+:param tag:                The model’s tag to log with.
+:param context:            MLRun context to work with. If no context is given it will be retrieved via</p>
+<blockquote>
+<div><p>‘mlrun.get_or_create_ctx(None)’</p>
+</div></blockquote>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>auto_log</strong> – Whether to enable MLRun’s auto logging. Default: True.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="hugging_face_classifier_trainer.hugging_face_classifier_trainer.optimize">
+<span class="sig-prename descclassname"><span class="pre">hugging_face_classifier_trainer.hugging_face_classifier_trainer.</span></span><span class="sig-name descname"><span class="pre">optimize</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'optimized_model'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_dir</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'./optimized'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">optimization_level</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="hugging_face_classifier_trainer.html#optimize"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#hugging_face_classifier_trainer.hugging_face_classifier_trainer.optimize" title="Permalink to this definition">#</a></dt>
+<dd><p>Optimizing the transformer model using ONNX optimization.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>model_path</strong> – The path of the model to optimize.</p></li>
+<li><p><strong>model_name</strong> – Name of the optimized model.</p></li>
+<li><p><strong>target_dir</strong> – The directory to save the ONNX model.</p></li>
+<li><p><strong>optimization_level</strong> – Optimization level performed by ONNX Runtime of the loaded graph. (default is 1)</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="hugging_face_classifier_trainer.hugging_face_classifier_trainer.train">
+<span class="sig-prename descclassname"><span class="pre">hugging_face_classifier_trainer.hugging_face_classifier_trainer.</span></span><span class="sig-name descname"><span class="pre">train</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">context</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">mlrun.execution.MLClientCtx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hf_dataset</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dataset</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">mlrun.datastore.base.DataItem</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">test_set</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">mlrun.datastore.base.DataItem</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_columns</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pretrained_tokenizer</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pretrained_model</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_class</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'huggingface-model'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">label_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'labels'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">text_col</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'text'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_of_train_samples</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_test_split_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metrics</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_state</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="hugging_face_classifier_trainer.html#train"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#hugging_face_classifier_trainer.hugging_face_classifier_trainer.train" title="Permalink to this definition">#</a></dt>
+<dd><p>Training and evaluating a pretrained model with a pretrained tokenizer over a dataset.
+The dataset can be either be the name of the dataset that contains in the HuggingFace hub,
+or a URI or a FeatureVector</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>context</strong> – MLRun context</p></li>
+<li><p><strong>hf_dataset</strong> – The name of the dataset to get from the HuggingFace hub</p></li>
+<li><p><strong>dataset</strong> – The dataset to train the model on. Can be either a URI or a FeatureVector</p></li>
+<li><p><strong>test_set</strong> – The test set to train the model with.</p></li>
+<li><p><strong>drop_columns</strong> – The columns to drop from the dataset.</p></li>
+<li><p><strong>pretrained_tokenizer</strong> – The name of the pretrained tokenizer from the HuggingFace hub.</p></li>
+<li><p><strong>pretrained_model</strong> – The name of the pretrained model from the HuggingFace hub.</p></li>
+<li><p><strong>model_name</strong> – The model’s name to use for storing the model artifact, default to ‘model’</p></li>
+<li><p><strong>model_class</strong> – The class of the model, e.g. <cite>transformers.AutoModelForSequenceClassification</cite></p></li>
+<li><p><strong>label_name</strong> – The target label of the column in the dataset.</p></li>
+<li><p><strong>text_col</strong> – The input text column un the dataset.</p></li>
+<li><p><strong>num_of_train_samples</strong> – Max number of training samples, for debugging.</p></li>
+<li><p><strong>train_test_split_size</strong> – Should be between 0.0 and 1.0 and represent the proportion of the dataset to include
+in the test split.</p></li>
+<li><p><strong>metrics</strong> – List of different metrics for evaluate the model such as f1, accuracy etc.</p></li>
+<li><p><strong>random_state</strong> – Random state for train_test_split</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+</section>
+<section id="module-hugging_face_classifier_trainer">
+<span id="module-contents"></span><h2>Module contents<a class="headerlink" href="#module-hugging_face_classifier_trainer" title="Permalink to this headline">#</a></h2>
+</section>
+</section>
+</div>
+</main>
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diff --git a/functions/master/hugging_face_classifier_trainer/0.3.0/static/example.html b/functions/master/hugging_face_classifier_trainer/0.3.0/static/example.html
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+++ b/functions/master/hugging_face_classifier_trainer/0.3.0/static/example.html
@@ -0,0 +1,2406 @@
+
+<!DOCTYPE html>
+
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+<!-- Table of contents -->
+<div class="col-md-3 bd-toc show noprint">
+<div class="tocsection onthispage pt-5 pb-3">
+<i class="fas fa-list"></i> Contents
+    </div>
+<nav aria-label="Page" id="bd-toc-nav">
+<ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#importing-the-hugging-face-classifier-trainer-function-from-the-marketplace">
+<strong>
+    Importing the hugging_face_classifier_trainer function from the Marketplace
+   </strong>
+</a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#training-a-model">
+<strong>
+    Training a model
+   </strong>
+</a>
+<ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry">
+<a class="reference internal nav-link" href="#define-task-parameters">
+     Define task parameters¶
+    </a>
+</li>
+<li class="toc-h3 nav-item toc-entry">
+<a class="reference internal nav-link" href="#running-the-training-job-with-the-train-handler">
+     Running the Training job with the “train” handler
+    </a>
+</li>
+<li class="toc-h3 nav-item toc-entry">
+<a class="reference internal nav-link" href="#the-result-of-the-train-run">
+     The result of the train run
+    </a>
+</li>
+<li class="toc-h3 nav-item toc-entry">
+<a class="reference internal nav-link" href="#getting-the-model-for-evaluating-and-predicting">
+     Getting the model for evaluating and predicting
+    </a>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#optimize-the-model">
+<strong>
+    Optimize the model
+   </strong>
+</a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#running-the-training-remotely">
+<strong>
+    Running the training remotely
+   </strong>
+</a>
+</li>
+</ul>
+</nav>
+</div>
+</div>
+<div class="article row">
+<div class="col pl-md-3 pl-lg-5 content-container">
+<!-- Table of contents that is only displayed when printing the page -->
+<div class="onlyprint" id="jb-print-docs-body">
+<h1>MLRun Hugging Face Classifier Trainer Tutorial</h1>
+<!-- Table of contents -->
+<div id="print-main-content">
+<div id="jb-print-toc">
+<div>
+<h2> Contents </h2>
+</div>
+<nav aria-label="Page">
+<ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#importing-the-hugging-face-classifier-trainer-function-from-the-marketplace">
+<strong>
+    Importing the hugging_face_classifier_trainer function from the Marketplace
+   </strong>
+</a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#training-a-model">
+<strong>
+    Training a model
+   </strong>
+</a>
+<ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry">
+<a class="reference internal nav-link" href="#define-task-parameters">
+     Define task parameters¶
+    </a>
+</li>
+<li class="toc-h3 nav-item toc-entry">
+<a class="reference internal nav-link" href="#running-the-training-job-with-the-train-handler">
+     Running the Training job with the “train” handler
+    </a>
+</li>
+<li class="toc-h3 nav-item toc-entry">
+<a class="reference internal nav-link" href="#the-result-of-the-train-run">
+     The result of the train run
+    </a>
+</li>
+<li class="toc-h3 nav-item toc-entry">
+<a class="reference internal nav-link" href="#getting-the-model-for-evaluating-and-predicting">
+     Getting the model for evaluating and predicting
+    </a>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#optimize-the-model">
+<strong>
+    Optimize the model
+   </strong>
+</a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#running-the-training-remotely">
+<strong>
+    Running the training remotely
+   </strong>
+</a>
+</li>
+</ul>
+</nav>
+</div>
+</div>
+</div>
+<main id="main-content" role="main">
+<div>
+<p><a id="top"></a></p>
+<section id="mlrun-hugging-face-classifier-trainer-tutorial">
+<h1>MLRun Hugging Face Classifier Trainer Tutorial<a class="headerlink" href="#mlrun-hugging-face-classifier-trainer-tutorial" title="Permalink to this headline">#</a></h1>
+<p>This notebook shows how to use the handlers of the Hugging Face classifier trainer.
+the following handlers are:</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">train</span></code></p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">optimize</span></code></p></li>
+</ul>
+<p>All you need is simply <strong>HF model type</strong> and a <strong>HF dataset name</strong>.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="o">%</span><span class="k">pip</span> install -r requirements.txt
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Requirement already satisfied: onnx~=1.14.1 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from -r requirements.txt (line 1)) (1.14.1)
+Requirement already satisfied: onnxruntime==1.16.1 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from -r requirements.txt (line 2)) (1.16.1)
+Requirement already satisfied: optimum~=1.6.4 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from -r requirements.txt (line 3)) (1.6.4)
+Requirement already satisfied: transformers~=4.26.1 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from -r requirements.txt (line 4)) (4.26.1)
+Requirement already satisfied: datasets~=2.10.1 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from -r requirements.txt (line 5)) (2.10.1)
+Requirement already satisfied: scikit-learn~=1.0.2 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from -r requirements.txt (line 6)) (1.0.2)
+Requirement already satisfied: coloredlogs in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from onnxruntime==1.16.1-&gt;-r requirements.txt (line 2)) (15.0.1)
+Requirement already satisfied: flatbuffers in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from onnxruntime==1.16.1-&gt;-r requirements.txt (line 2)) (1.12)
+Requirement already satisfied: numpy&gt;=1.21.6 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from onnxruntime==1.16.1-&gt;-r requirements.txt (line 2)) (1.23.5)
+Requirement already satisfied: packaging in /conda/envs/mlrun-base/lib/python3.9/site-packages (from onnxruntime==1.16.1-&gt;-r requirements.txt (line 2)) (21.3)
+Requirement already satisfied: protobuf in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from onnxruntime==1.16.1-&gt;-r requirements.txt (line 2)) (3.20.2)
+Requirement already satisfied: sympy in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from onnxruntime==1.16.1-&gt;-r requirements.txt (line 2)) (1.12)
+Requirement already satisfied: typing-extensions&gt;=3.6.2.1 in /conda/envs/mlrun-base/lib/python3.9/site-packages (from onnx~=1.14.1-&gt;-r requirements.txt (line 1)) (4.7.1)
+Requirement already satisfied: torch&gt;=1.9 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from optimum~=1.6.4-&gt;-r requirements.txt (line 3)) (2.1.2)
+Requirement already satisfied: huggingface-hub&gt;=0.8.0 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from optimum~=1.6.4-&gt;-r requirements.txt (line 3)) (0.20.1)
+Requirement already satisfied: filelock in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from transformers~=4.26.1-&gt;-r requirements.txt (line 4)) (3.13.1)
+Requirement already satisfied: pyyaml&gt;=5.1 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from transformers~=4.26.1-&gt;-r requirements.txt (line 4)) (5.4.1)
+Requirement already satisfied: regex!=2019.12.17 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from transformers~=4.26.1-&gt;-r requirements.txt (line 4)) (2023.12.25)
+Requirement already satisfied: requests in /conda/envs/mlrun-base/lib/python3.9/site-packages (from transformers~=4.26.1-&gt;-r requirements.txt (line 4)) (2.31.0)
+Requirement already satisfied: tokenizers!=0.11.3,&lt;0.14,&gt;=0.11.1 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from transformers~=4.26.1-&gt;-r requirements.txt (line 4)) (0.13.3)
+Requirement already satisfied: tqdm&gt;=4.27 in /conda/envs/mlrun-base/lib/python3.9/site-packages (from transformers~=4.26.1-&gt;-r requirements.txt (line 4)) (4.65.0)
+Requirement already satisfied: pyarrow&gt;=6.0.0 in /conda/envs/mlrun-base/lib/python3.9/site-packages (from datasets~=2.10.1-&gt;-r requirements.txt (line 5)) (11.0.0)
+Requirement already satisfied: dill&lt;0.3.7,&gt;=0.3.0 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from datasets~=2.10.1-&gt;-r requirements.txt (line 5)) (0.3.6)
+Requirement already satisfied: pandas in /conda/envs/mlrun-base/lib/python3.9/site-packages (from datasets~=2.10.1-&gt;-r requirements.txt (line 5)) (1.4.4)
+Requirement already satisfied: xxhash in /conda/envs/mlrun-base/lib/python3.9/site-packages (from datasets~=2.10.1-&gt;-r requirements.txt (line 5)) (3.3.0)
+Requirement already satisfied: multiprocess in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from datasets~=2.10.1-&gt;-r requirements.txt (line 5)) (0.70.14)
+Requirement already satisfied: fsspec&gt;=2021.11.1 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from fsspec[http]&gt;=2021.11.1-&gt;datasets~=2.10.1-&gt;-r requirements.txt (line 5)) (2023.9.2)
+Requirement already satisfied: aiohttp in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from datasets~=2.10.1-&gt;-r requirements.txt (line 5)) (3.9.1)
+Requirement already satisfied: responses&lt;0.19 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from datasets~=2.10.1-&gt;-r requirements.txt (line 5)) (0.18.0)
+Requirement already satisfied: scipy&gt;=1.1.0 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from scikit-learn~=1.0.2-&gt;-r requirements.txt (line 6)) (1.11.4)
+Requirement already satisfied: joblib&gt;=0.11 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from scikit-learn~=1.0.2-&gt;-r requirements.txt (line 6)) (1.3.2)
+Requirement already satisfied: threadpoolctl&gt;=2.0.0 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from scikit-learn~=1.0.2-&gt;-r requirements.txt (line 6)) (3.2.0)
+Requirement already satisfied: attrs&gt;=17.3.0 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from aiohttp-&gt;datasets~=2.10.1-&gt;-r requirements.txt (line 5)) (19.1.0)
+Requirement already satisfied: multidict&lt;7.0,&gt;=4.5 in /conda/envs/mlrun-base/lib/python3.9/site-packages (from aiohttp-&gt;datasets~=2.10.1-&gt;-r requirements.txt (line 5)) (6.0.4)
+Requirement already satisfied: yarl&lt;2.0,&gt;=1.0 in /conda/envs/mlrun-base/lib/python3.9/site-packages (from aiohttp-&gt;datasets~=2.10.1-&gt;-r requirements.txt (line 5)) (1.9.2)
+Requirement already satisfied: frozenlist&gt;=1.1.1 in /conda/envs/mlrun-base/lib/python3.9/site-packages (from aiohttp-&gt;datasets~=2.10.1-&gt;-r requirements.txt (line 5)) (1.4.0)
+Requirement already satisfied: aiosignal&gt;=1.1.2 in /conda/envs/mlrun-base/lib/python3.9/site-packages (from aiohttp-&gt;datasets~=2.10.1-&gt;-r requirements.txt (line 5)) (1.3.1)
+Requirement already satisfied: async-timeout&lt;5.0,&gt;=4.0 in /conda/envs/mlrun-base/lib/python3.9/site-packages (from aiohttp-&gt;datasets~=2.10.1-&gt;-r requirements.txt (line 5)) (4.0.3)
+Requirement already satisfied: pyparsing!=3.0.5,&gt;=2.0.2 in /conda/envs/mlrun-base/lib/python3.9/site-packages (from packaging-&gt;onnxruntime==1.16.1-&gt;-r requirements.txt (line 2)) (3.1.1)
+Requirement already satisfied: charset-normalizer&lt;4,&gt;=2 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from requests-&gt;transformers~=4.26.1-&gt;-r requirements.txt (line 4)) (2.1.1)
+Requirement already satisfied: idna&lt;4,&gt;=2.5 in /conda/envs/mlrun-base/lib/python3.9/site-packages (from requests-&gt;transformers~=4.26.1-&gt;-r requirements.txt (line 4)) (3.4)
+Requirement already satisfied: urllib3&lt;3,&gt;=1.21.1 in /conda/envs/mlrun-base/lib/python3.9/site-packages (from requests-&gt;transformers~=4.26.1-&gt;-r requirements.txt (line 4)) (1.26.16)
+Requirement already satisfied: certifi&gt;=2017.4.17 in /conda/envs/mlrun-base/lib/python3.9/site-packages (from requests-&gt;transformers~=4.26.1-&gt;-r requirements.txt (line 4)) (2023.7.22)
+Requirement already satisfied: networkx in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from torch&gt;=1.9-&gt;optimum~=1.6.4-&gt;-r requirements.txt (line 3)) (3.2.1)
+Requirement already satisfied: jinja2 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from torch&gt;=1.9-&gt;optimum~=1.6.4-&gt;-r requirements.txt (line 3)) (3.1.3)
+Requirement already satisfied: nvidia-cuda-nvrtc-cu12==12.1.105 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from torch&gt;=1.9-&gt;optimum~=1.6.4-&gt;-r requirements.txt (line 3)) (12.1.105)
+Requirement already satisfied: nvidia-cuda-runtime-cu12==12.1.105 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from torch&gt;=1.9-&gt;optimum~=1.6.4-&gt;-r requirements.txt (line 3)) (12.1.105)
+Requirement already satisfied: nvidia-cuda-cupti-cu12==12.1.105 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from torch&gt;=1.9-&gt;optimum~=1.6.4-&gt;-r requirements.txt (line 3)) (12.1.105)
+Requirement already satisfied: nvidia-cudnn-cu12==8.9.2.26 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from torch&gt;=1.9-&gt;optimum~=1.6.4-&gt;-r requirements.txt (line 3)) (8.9.2.26)
+Requirement already satisfied: nvidia-cublas-cu12==12.1.3.1 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from torch&gt;=1.9-&gt;optimum~=1.6.4-&gt;-r requirements.txt (line 3)) (12.1.3.1)
+Requirement already satisfied: nvidia-cufft-cu12==11.0.2.54 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from torch&gt;=1.9-&gt;optimum~=1.6.4-&gt;-r requirements.txt (line 3)) (11.0.2.54)
+Requirement already satisfied: nvidia-curand-cu12==10.3.2.106 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from torch&gt;=1.9-&gt;optimum~=1.6.4-&gt;-r requirements.txt (line 3)) (10.3.2.106)
+Requirement already satisfied: nvidia-cusolver-cu12==11.4.5.107 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from torch&gt;=1.9-&gt;optimum~=1.6.4-&gt;-r requirements.txt (line 3)) (11.4.5.107)
+Requirement already satisfied: nvidia-cusparse-cu12==12.1.0.106 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from torch&gt;=1.9-&gt;optimum~=1.6.4-&gt;-r requirements.txt (line 3)) (12.1.0.106)
+Requirement already satisfied: nvidia-nccl-cu12==2.18.1 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from torch&gt;=1.9-&gt;optimum~=1.6.4-&gt;-r requirements.txt (line 3)) (2.18.1)
+Requirement already satisfied: nvidia-nvtx-cu12==12.1.105 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from torch&gt;=1.9-&gt;optimum~=1.6.4-&gt;-r requirements.txt (line 3)) (12.1.105)
+Requirement already satisfied: triton==2.1.0 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from torch&gt;=1.9-&gt;optimum~=1.6.4-&gt;-r requirements.txt (line 3)) (2.1.0)
+Requirement already satisfied: nvidia-nvjitlink-cu12 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from nvidia-cusolver-cu12==11.4.5.107-&gt;torch&gt;=1.9-&gt;optimum~=1.6.4-&gt;-r requirements.txt (line 3)) (12.3.101)
+Requirement already satisfied: sentencepiece!=0.1.92,&gt;=0.1.91 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from transformers[sentencepiece]&gt;=4.26.0-&gt;optimum~=1.6.4-&gt;-r requirements.txt (line 3)) (0.2.0)
+Requirement already satisfied: humanfriendly&gt;=9.1 in /conda/envs/mlrun-base/lib/python3.9/site-packages (from coloredlogs-&gt;onnxruntime==1.16.1-&gt;-r requirements.txt (line 2)) (9.2)
+Requirement already satisfied: python-dateutil&gt;=2.8.1 in /conda/envs/mlrun-base/lib/python3.9/site-packages (from pandas-&gt;datasets~=2.10.1-&gt;-r requirements.txt (line 5)) (2.8.2)
+Requirement already satisfied: pytz&gt;=2020.1 in /conda/envs/mlrun-base/lib/python3.9/site-packages (from pandas-&gt;datasets~=2.10.1-&gt;-r requirements.txt (line 5)) (2023.3.post1)
+Requirement already satisfied: mpmath&gt;=0.19 in /User/.pythonlibs/mlrun-base/lib/python3.9/site-packages (from sympy-&gt;onnxruntime==1.16.1-&gt;-r requirements.txt (line 2)) (1.3.0)
+Requirement already satisfied: six&gt;=1.5 in /conda/envs/mlrun-base/lib/python3.9/site-packages (from python-dateutil&gt;=2.8.1-&gt;pandas-&gt;datasets~=2.10.1-&gt;-r requirements.txt (line 5)) (1.16.0)
+Requirement already satisfied: MarkupSafe&gt;=2.0 in /conda/envs/mlrun-base/lib/python3.9/site-packages (from jinja2-&gt;torch&gt;=1.9-&gt;optimum~=1.6.4-&gt;-r requirements.txt (line 3)) (2.1.3)
+Note: you may need to restart the kernel to use updated packages.
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">mlrun</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">project</span> <span class="o">=</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">get_or_create_project</span><span class="p">(</span><span class="s1">'hugging-face-trainer'</span><span class="p">,</span> <span class="n">context</span><span class="o">=</span><span class="s2">"./"</span><span class="p">,</span> <span class="n">user_project</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&gt; 2024-03-24 17:10:17,091 [info] Project loaded successfully: {'project_name': 'hugging-face-trainer'}
+</pre></div>
+</div>
+</div>
+</div>
+<section id="importing-the-hugging-face-classifier-trainer-function-from-the-marketplace">
+<h2><strong>Importing the hugging_face_classifier_trainer function from the Marketplace</strong><a class="headerlink" href="#importing-the-hugging-face-classifier-trainer-function-from-the-marketplace" title="Permalink to this headline">#</a></h2>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">hugging_face_classifier_trainer</span> <span class="o">=</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">import_function</span><span class="p">(</span><span class="s2">"hub://hugging_face_classifier_trainer"</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="training-a-model">
+<h2><strong>Training a model</strong><a class="headerlink" href="#training-a-model" title="Permalink to this headline">#</a></h2>
+<p>Choosing the <code class="docutils literal notranslate"><span class="pre">train</span></code> handler</p>
+<section id="define-task-parameters">
+<h3>Define task parameters¶<a class="headerlink" href="#define-task-parameters" title="Permalink to this headline">#</a></h3>
+<ul class="simple">
+<li><p>Class parameters should contain the prefix <code class="docutils literal notranslate"><span class="pre">CLASS_</span></code></p></li>
+<li><p>Train parameters should contain the prefix <code class="docutils literal notranslate"><span class="pre">TRAIN_</span></code></p></li>
+</ul>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">model_class</span> <span class="o">=</span> <span class="s2">"transformers.AutoModelForSequenceClassification"</span>
+<span class="n">additional_parameters</span> <span class="o">=</span> <span class="p">{</span>
+    <span class="s2">"TRAIN_output_dir"</span><span class="p">:</span> <span class="s2">"finetuning-sentiment-model-3000-samples"</span><span class="p">,</span>
+    <span class="s2">"TRAIN_learning_rate"</span><span class="p">:</span> <span class="mf">2e-5</span><span class="p">,</span>
+    <span class="s2">"TRAIN_per_device_train_batch_size"</span><span class="p">:</span> <span class="mi">16</span><span class="p">,</span>
+    <span class="s2">"TRAIN_per_device_eval_batch_size"</span><span class="p">:</span> <span class="mi">16</span><span class="p">,</span>
+    <span class="s2">"TRAIN_num_train_epochs"</span><span class="p">:</span> <span class="mi">3</span><span class="p">,</span>
+    <span class="s2">"TRAIN_weight_decay"</span><span class="p">:</span> <span class="mf">0.01</span><span class="p">,</span>
+    <span class="s2">"TRAIN_push_to_hub"</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span>
+    <span class="s2">"TRAIN_evaluation_strategy"</span><span class="p">:</span> <span class="s2">"epoch"</span><span class="p">,</span>
+    <span class="s2">"TRAIN_eval_steps"</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span>
+    <span class="s2">"TRAIN_logging_steps"</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span>
+    <span class="s2">"CLASS_num_labels"</span><span class="p">:</span> <span class="mi">2</span>
+<span class="p">}</span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="running-the-training-job-with-the-train-handler">
+<h3>Running the Training job with the “train” handler<a class="headerlink" href="#running-the-training-job-with-the-train-handler" title="Permalink to this headline">#</a></h3>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">train_run</span> <span class="o">=</span> <span class="n">hugging_face_classifier_trainer</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">params</span><span class="o">=</span><span class="p">{</span>
+                                                        <span class="s2">"hf_dataset"</span><span class="p">:</span> <span class="s2">"Shayanvsf/US_Airline_Sentiment"</span><span class="p">,</span>
+                                                        <span class="s2">"drop_columns"</span><span class="p">:</span> <span class="p">[</span>
+                                                            <span class="s2">"airline_sentiment_confidence"</span><span class="p">,</span>
+                                                            <span class="s2">"negativereason_confidence"</span><span class="p">,</span>
+                                                        <span class="p">],</span>
+                                                        <span class="s2">"pretrained_tokenizer"</span><span class="p">:</span> <span class="s2">"distilbert-base-uncased"</span><span class="p">,</span>
+                                                        <span class="s2">"pretrained_model"</span><span class="p">:</span> <span class="s2">"distilbert-base-uncased"</span><span class="p">,</span>
+                                                        <span class="s2">"model_class"</span><span class="p">:</span> <span class="s2">"transformers.AutoModelForSequenceClassification"</span><span class="p">,</span>
+                                                        <span class="s2">"label_name"</span><span class="p">:</span> <span class="s2">"airline_sentiment"</span><span class="p">,</span>
+                                                        <span class="s2">"num_of_train_samples"</span><span class="p">:</span> <span class="mi">100</span><span class="p">,</span>
+                                                        <span class="s2">"metrics"</span><span class="p">:</span> <span class="p">[</span><span class="s2">"accuracy"</span><span class="p">,</span> <span class="s2">"f1"</span><span class="p">],</span>
+                                                        <span class="s2">"random_state"</span><span class="p">:</span> <span class="mi">42</span><span class="p">,</span>
+                                                        <span class="o">**</span><span class="n">additional_parameters</span>
+                                                    <span class="p">},</span>
+                                                    <span class="n">handler</span><span class="o">=</span><span class="s2">"train"</span><span class="p">,</span>
+                                                    <span class="n">local</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+                                                <span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&gt; 2024-03-24 17:10:21,025 [info] Storing function: {'name': 'hugging-face-classifier-trainer-train', 'uid': '514d8d5530c842238b1cc81983cd943e', 'db': 'http://mlrun-api:8080'}
+&gt; 2024-03-24 17:11:03,727 [info] 'train_test_split_size' is not provided, setting train_test_split_size to 0.2
+&gt; 2024-03-24 17:11:03,882 [info] Loading and editing Shayanvsf/US_Airline_Sentiment dataset from Hugging Face hub
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Found cached dataset parquet (/igz/.cache/huggingface/datasets/Shayanvsf___parquet/Shayanvsf--US_Airline_Sentiment-1319c42f87c44b2f/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec)
+</pre></div>
+</div>
+<script type="application/vnd.jupyter.widget-view+json">{"model_id": "f43b1388d0b344888323bec590baadee", "version_major": 2, "version_minor": 0}</script><div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Loading cached shuffled indices for dataset at /igz/.cache/huggingface/datasets/Shayanvsf___parquet/Shayanvsf--US_Airline_Sentiment-1319c42f87c44b2f/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec/cache-ec18d1773cfb9bb5.arrow
+Loading cached shuffled indices for dataset at /igz/.cache/huggingface/datasets/Shayanvsf___parquet/Shayanvsf--US_Airline_Sentiment-1319c42f87c44b2f/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec/cache-e0c54c494a578ee6.arrow
+</pre></div>
+</div>
+<script type="application/vnd.jupyter.widget-view+json">{"model_id": "", "version_major": 2, "version_minor": 0}</script><script type="application/vnd.jupyter.widget-view+json">{"model_id": "", "version_major": 2, "version_minor": 0}</script><div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Some weights of the model checkpoint at distilbert-base-uncased were not used when initializing DistilBertForSequenceClassification: ['vocab_transform.weight', 'vocab_transform.bias', 'vocab_projector.weight', 'vocab_projector.bias', 'vocab_layer_norm.bias', 'vocab_layer_norm.weight']
+- This IS expected if you are initializing DistilBertForSequenceClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).
+- This IS NOT expected if you are initializing DistilBertForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).
+Some weights of DistilBertForSequenceClassification were not initialized from the model checkpoint at distilbert-base-uncased and are newly initialized: ['pre_classifier.bias', 'classifier.weight', 'pre_classifier.weight', 'classifier.bias']
+You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&gt; 2024-03-24 17:11:08,938 [info] training 'huggingface-model'
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>The following columns in the training set don't have a corresponding argument in `DistilBertForSequenceClassification.forward` and have been ignored: text. If text are not expected by `DistilBertForSequenceClassification.forward`,  you can safely ignore this message.
+This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning
+***** Running training *****
+  Num examples = 100
+  Num Epochs = 3
+  Instantaneous batch size per device = 16
+  Total train batch size (w. parallel, distributed &amp; accumulation) = 16
+  Gradient Accumulation steps = 1
+  Total optimization steps = 21
+  Number of trainable parameters = 66955010
+You're using a DistilBertTokenizerFast tokenizer. Please note that with a fast tokenizer, using the `__call__` method is faster than using a method to encode the text followed by a call to the `pad` method to get a padded encoding.
+</pre></div>
+</div>
+<div class="output text_html">
+<div>
+<progress max="21" style="width:300px; height:20px; vertical-align: middle;" value="21"></progress>
+      [21/21 00:15, Epoch 3/3]
+    </div>
+<table border="1" class="dataframe">
+<thead>
+<tr style="text-align: left;">
+<th>Epoch</th>
+<th>Training Loss</th>
+<th>Validation Loss</th>
+<th>Accuracy</th>
+<th>F1</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td>1</td>
+<td>0.738900</td>
+<td>0.515311</td>
+<td>0.791667</td>
+<td>0.000000</td>
+</tr>
+<tr>
+<td>2</td>
+<td>0.525900</td>
+<td>0.481563</td>
+<td>0.791667</td>
+<td>0.000000</td>
+</tr>
+<tr>
+<td>3</td>
+<td>0.490800</td>
+<td>0.471675</td>
+<td>0.791667</td>
+<td>0.000000</td>
+</tr>
+</tbody>
+</table><p></p></div><div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>The following columns in the evaluation set don't have a corresponding argument in `DistilBertForSequenceClassification.forward` and have been ignored: text. If text are not expected by `DistilBertForSequenceClassification.forward`,  you can safely ignore this message.
+***** Running Evaluation *****
+  Num examples = 24
+  Batch size = 16
+/tmp/tmp0c1aawrq.py:561: FutureWarning:
+
+load_metric is deprecated and will be removed in the next major version of datasets. Use 'evaluate.load' instead, from the new library 🤗 Evaluate: https://huggingface.co/docs/evaluate
+
+The following columns in the evaluation set don't have a corresponding argument in `DistilBertForSequenceClassification.forward` and have been ignored: text. If text are not expected by `DistilBertForSequenceClassification.forward`,  you can safely ignore this message.
+***** Running Evaluation *****
+  Num examples = 24
+  Batch size = 16
+The following columns in the evaluation set don't have a corresponding argument in `DistilBertForSequenceClassification.forward` and have been ignored: text. If text are not expected by `DistilBertForSequenceClassification.forward`,  you can safely ignore this message.
+***** Running Evaluation *****
+  Num examples = 24
+  Batch size = 16
+
+
+Training completed. Do not forget to share your model on huggingface.co/models =)
+
+
+tokenizer config file saved in /tmp/tokenizer/tokenizer_config.json
+Special tokens file saved in /tmp/tokenizer/special_tokens_map.json
+Configuration saved in /tmp/model/config.json
+Model weights saved in /tmp/model/pytorch_model.bin
+</pre></div>
+</div>
+<div class="output text_html"><style>
+.dictlist {
+  background-color: #4EC64B;
+  text-align: center;
+  margin: 4px;
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+</style><script>
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+        textarea.select();
+
+        try {
+            return document.execCommand('copy'); // Security exception may be thrown by some browsers.
+        } catch (ex) {
+
+        } finally {
+            document.body.removeChild(textarea);
+        }
+    }
+}
+function expandPanel(el) {
+  const panelName = "#" + el.getAttribute('paneName');
+  console.log(el.title);
+
+  document.querySelector(panelName + "-title").innerHTML = el.title
+  iframe = document.querySelector(panelName + "-body");
+
+  const tblcss = `<style> body { font-family: Arial, Helvetica, sans-serif;}
+    #csv { margin-bottom: 15px; }
+    #csv table { border-collapse: collapse;}
+    #csv table td { padding: 4px 8px; border: 1px solid silver;} </style>`;
+
+  function csvToHtmlTable(str) {
+    return '<div id="csv"><table><tr><td>' +  str.replace(/[\n\r]+$/g, '').replace(/[\n\r]+/g, '</td></tr><tr><td>')
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+  if (!resultPane.classList.contains("hidden")) {
+    resultPane.classList.add("hidden");
+  }
+}
+
+</script>
+<div class="master-wrapper">
+<div class="block master-tbl"><div>
+<style scoped="">
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+<thead>
+<tr style="text-align: right;">
+<th>project</th>
+<th>uid</th>
+<th>iter</th>
+<th>start</th>
+<th>state</th>
+<th>name</th>
+<th>labels</th>
+<th>inputs</th>
+<th>parameters</th>
+<th>results</th>
+<th>artifacts</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td>hugging-face-trainer-avia</td>
+<td><div title="514d8d5530c842238b1cc81983cd943e"><a href="https://dashboard.default-tenant.app.app-lab-2-b688.iguazio-cd2.com/mlprojects/hugging-face-trainer-avia/jobs/monitor/514d8d5530c842238b1cc81983cd943e/overview" target="_blank">...83cd943e</a></div></td>
+<td>0</td>
+<td>Mar 24 17:10:21</td>
+<td>completed</td>
+<td>hugging-face-classifier-trainer-train</td>
+<td><div class="dictlist">v3io_user=avia</div><div class="dictlist">kind=local</div><div class="dictlist">owner=avia</div><div class="dictlist">host=jupyter-avia-6454bdd4c5-xz8cg</div></td>
+<td></td>
+<td><div class="dictlist">hf_dataset=Shayanvsf/US_Airline_Sentiment</div><div class="dictlist">drop_columns=['airline_sentiment_confidence', 'negativereason_confidence']</div><div class="dictlist">pretrained_tokenizer=distilbert-base-uncased</div><div class="dictlist">pretrained_model=distilbert-base-uncased</div><div class="dictlist">model_class=transformers.AutoModelForSequenceClassification</div><div class="dictlist">label_name=airline_sentiment</div><div class="dictlist">num_of_train_samples=100</div><div class="dictlist">metrics=['accuracy', 'f1']</div><div class="dictlist">random_state=42</div><div class="dictlist">TRAIN_output_dir=finetuning-sentiment-model-3000-samples</div><div class="dictlist">TRAIN_learning_rate=2e-05</div><div class="dictlist">TRAIN_per_device_train_batch_size=16</div><div class="dictlist">TRAIN_per_device_eval_batch_size=16</div><div class="dictlist">TRAIN_num_train_epochs=3</div><div class="dictlist">TRAIN_weight_decay=0.01</div><div class="dictlist">TRAIN_push_to_hub=False</div><div class="dictlist">TRAIN_evaluation_strategy=epoch</div><div class="dictlist">TRAIN_eval_steps=1</div><div class="dictlist">TRAIN_logging_steps=1</div><div class="dictlist">CLASS_num_labels=2</div></td>
+<td><div class="dictlist">loss=0.4908</div><div class="dictlist">learning_rate=0.0</div><div class="dictlist">eval_loss=0.47167453169822693</div><div class="dictlist">eval_accuracy=0.7916666666666666</div><div class="dictlist">eval_f1=0.0</div><div class="dictlist">eval_runtime=0.5186</div><div class="dictlist">eval_samples_per_second=46.276</div><div class="dictlist">eval_steps_per_second=3.856</div><div class="dictlist">train_runtime=17.6054</div><div class="dictlist">train_samples_per_second=17.04</div><div class="dictlist">train_steps_per_second=1.193</div><div class="dictlist">total_flos=3327208489680.0</div></td>
+<td><div class="artifact" onclick="expandPanel(this)" panename="result570a92e7" title="files/v3io/projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/loss_plot.html">loss_plot</div><div class="artifact" onclick="expandPanel(this)" panename="result570a92e7" title="files/v3io/projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/learning_rate_plot.html">learning_rate_plot</div><div class="artifact" onclick="expandPanel(this)" panename="result570a92e7" title="files/v3io/projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/eval_loss_plot.html">eval_loss_plot</div><div class="artifact" onclick="expandPanel(this)" panename="result570a92e7" title="files/v3io/projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/eval_accuracy_plot.html">eval_accuracy_plot</div><div class="artifact" onclick="expandPanel(this)" panename="result570a92e7" title="files/v3io/projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/eval_f1_plot.html">eval_f1_plot</div><div class="artifact" onclick="expandPanel(this)" panename="result570a92e7" title="files/v3io/projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/eval_runtime_plot.html">eval_runtime_plot</div><div class="artifact" onclick="expandPanel(this)" panename="result570a92e7" title="files/v3io/projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/eval_samples_per_second_plot.html">eval_samples_per_second_plot</div><div class="artifact" onclick="expandPanel(this)" panename="result570a92e7" title="files/v3io/projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/eval_steps_per_second_plot.html">eval_steps_per_second_plot</div><div title="v3io:///projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/tokenizer.zip">tokenizer</div><div title="v3io:///projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/model/">model</div></td>
+</tr>
+</tbody>
+</table>
+</div></div>
+<div class="right-pane block hidden" id="result570a92e7-pane">
+<div class="pane-header">
+<span class="pane-header-title" id="result570a92e7-title">Title</span>
+<span class="close clickable" onclick="closePanel(this)" panename="result570a92e7">×</span>
+</div>
+<iframe class="fileview" id="result570a92e7-body"></iframe>
+</div>
+</div>
+</div><div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+<div class="output text_html"><b> &gt; to track results use the .show() or .logs() methods  or <a href="https://dashboard.default-tenant.app.app-lab-2-b688.iguazio-cd2.com/mlprojects/hugging-face-trainer-avia/jobs/monitor/514d8d5530c842238b1cc81983cd943e/overview" target="_blank">click here</a> to open in UI</b></div><div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&gt; 2024-03-24 17:12:01,880 [info] Run execution finished: {'status': 'completed', 'name': 'hugging-face-classifier-trainer-train'}
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="the-result-of-the-train-run">
+<h3>The result of the train run<a class="headerlink" href="#the-result-of-the-train-run" title="Permalink to this headline">#</a></h3>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">train_run</span><span class="o">.</span><span class="n">outputs</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>{'loss': 0.4908,
+ 'learning_rate': 0.0,
+ 'eval_loss': 0.47167453169822693,
+ 'eval_accuracy': 0.7916666666666666,
+ 'eval_f1': 0.0,
+ 'eval_runtime': 0.5186,
+ 'eval_samples_per_second': 46.276,
+ 'eval_steps_per_second': 3.856,
+ 'train_runtime': 17.6054,
+ 'train_samples_per_second': 17.04,
+ 'train_steps_per_second': 1.193,
+ 'total_flos': 3327208489680.0,
+ 'loss_plot': 'v3io:///projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/loss_plot.html',
+ 'learning_rate_plot': 'v3io:///projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/learning_rate_plot.html',
+ 'eval_loss_plot': 'v3io:///projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/eval_loss_plot.html',
+ 'eval_accuracy_plot': 'v3io:///projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/eval_accuracy_plot.html',
+ 'eval_f1_plot': 'v3io:///projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/eval_f1_plot.html',
+ 'eval_runtime_plot': 'v3io:///projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/eval_runtime_plot.html',
+ 'eval_samples_per_second_plot': 'v3io:///projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/eval_samples_per_second_plot.html',
+ 'eval_steps_per_second_plot': 'v3io:///projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/eval_steps_per_second_plot.html',
+ 'tokenizer': 'store://artifacts/hugging-face-trainer-avia/hugging-face-classifier-trainer-train_tokenizer@514d8d5530c842238b1cc81983cd943e',
+ 'model': 'store://artifacts/hugging-face-trainer-avia/huggingface-model@514d8d5530c842238b1cc81983cd943e'}
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">train_run</span><span class="o">.</span><span class="n">artifact</span><span class="p">(</span><span class="s1">'loss_plot'</span><span class="p">)</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_html"><html>
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+<body>
+<div> <script type="text/javascript">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>
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i=e.geoCentroid({type:"MultiPoint",coordinates:[t,r,n]}),a=[-i[0],-i[1]],o=e.geoRotation(a),s=at(ot(o(t)),ot(o(r)),ot(o(n)));s.invert=H(s);var l=e.geoProjection(s).rotate(a),c=l.center;return delete l.rotate,l.center=function(t){return arguments.length?c(o(t)):o.invert(c())},l.clipAngle(90)}function lt(t,e){var r=L(1-m(e));return[2/T*t*r,T*(1-r)]}function ct(t){var e=g(t);function r(t,r){return[t,(t?t/m(t):1)*(m(r)*o(t)-e*o(r))]}return r.invert=e?function(t,r){t&&(r*=m(t)/t);var n=o(t);return[t,2*a(L(n*n+e*e-r*r)-n,e-r)]}:function(t,e){return[t,S(t?e*g(t)/t:e)]},r}lt.invert=function(t,e){var r=(r=e/T-1)*r;return[r>0?t*L(y/r)/2:0,S(1-r)]};var ut=L(3);function ft(t,e){return[ut*t*(2*o(2*e/3)-1)/T,ut*T*m(e/3)]}function ht(t){var e=o(t);function r(t,r){return[t*e,m(r)/e]}return r.invert=function(t,r){return[t/e,S(r*e)]},r}function pt(t){var e=o(t);function r(t,r){return[t*e,(1+e)*g(r/2)]}return r.invert=function(t,r){return[t/e,2*i(r/(1+e))]},r}function dt(t,e){var r=L(8/(3*y));return[r*t*(1-n(e)/y),r*e]}function mt(t,e){var r=L(4-3*m(n(e)));return[2/L(6*y)*t*r,d(e)*L(2*y/3)*(2-r)]}function gt(t,e){var r=L(y*(4+y));return[2/r*t*(1+L(1-4*e*e/(y*y))),4/r*e]}function vt(t,e){var r=(2+x)*m(e);e/=2;for(var i=0,a=1/0;i<10&&n(a)>v;i++){var s=o(e);e-=a=(e+m(e)*(s+2)-r)/(2*s*(1+s))}return[2/L(y*(4+y))*t*(1+o(e)),2*L(y/(4+y))*m(e)]}function yt(t,e){return[t*(1+o(e))/L(2+y),2*e/L(2+y)]}function xt(t,e){for(var r=(1+x)*m(e),i=0,a=1/0;i<10&&n(a)>v;i++)e-=a=(e+m(e)-r)/(1+o(e));return r=L(2+y),[t*(1+o(e))/r,2*e/r]}ft.invert=function(t,e){var r=3*S(e/(ut*T));return[T*t/(ut*(2*o(2*r/3)-1)),r]},dt.invert=function(t,e){var r=L(8/(3*y)),i=e/r;return[t/(r*(1-n(i)/y)),i]},mt.invert=function(t,e){var r=2-n(e)/L(2*y/3);return[t*L(6*y)/(2*r),d(e)*S((4-r*r)/3)]},gt.invert=function(t,e){var r=L(y*(4+y))/2;return[t*r/(1+L(1-e*e*(4+y)/(4*y))),e*r/2]},vt.invert=function(t,e){var r=e*L((4+y)/y)/2,n=S(r),i=o(n);return[t/(2/L(y*(4+y))*(1+i)),S((n+r*(i+2))/(2+x))]},yt.invert=function(t,e){var r=L(2+y),n=e*r/2;return[r*t/(1+o(n)),n]},xt.invert=function(t,e){var r=1+x,n=L(r/2);return[2*t*n/(1+o(e*=n)),S((e+m(e))/r)]};var bt=3+2*w;function _t(t,e){var r=m(t/=2),n=o(t),a=L(o(e)),s=o(e/=2),l=m(e)/(s+w*n*a),u=L(2/(1+l*l)),f=L((w*s+(n+r)*a)/(w*s+(n-r)*a));return[bt*(u*(f-1/f)-2*c(f)),bt*(u*l*(f+1/f)-2*i(l))]}_t.invert=function(t,e){if(!(r=D.invert(t/1.2,1.065*e)))return null;var r,a=r[0],s=r[1],l=20;t/=bt,e/=bt;do{var h=a/2,p=s/2,d=m(h),g=o(h),y=m(p),b=o(p),T=o(s),k=L(T),A=y/(b+w*g*k),M=A*A,S=L(2/(1+M)),E=(w*b+(g+d)*k)/(w*b+(g-d)*k),C=L(E),P=C-1/C,I=C+1/C,O=S*P-2*c(C)-t,z=S*A*I-2*i(A)-e,R=y&&_*k*d*M/y,F=(w*g*b+k)/(2*(b+w*g*k)*(b+w*g*k)*k),B=-.5*A*S*S*S,N=B*R,j=B*F,U=(U=2*b+w*k*(g-d))*U*C,V=(w*g*b*k+T)/U,H=-w*d*y/(k*U),q=P*N-2*V/C+S*(V+V/E),G=P*j-2*H/C+S*(H+H/E),Y=A*I*N-2*R/(1+M)+S*I*R+S*A*(V-V/E),W=A*I*j-2*F/(1+M)+S*I*F+S*A*(H-H/E),Z=G*Y-W*q;if(!Z)break;var 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b=g*g,_=t+b*(e+b*(r+b*i)),w=g*(a-1+b*(s-c+b*l)),T=_*_+w*w,k=2*w,A=T/k,M=A*A,E=S(_/A)/y,C=d*E,P=_*_,I=(2*e+b*(4*r+6*b*i))*g,O=a+b*(3*s+5*b*l),z=(2*(_*I+w*(O-1))*k-T*(2*(O-1)))/(k*k),D=o(C),R=m(C),F=A*D,B=A*R,N=d/y*(1/L(1-P/M))*(I*A-_*z)/M,j=B-u,U=g*(1+b*c)+A-F-f,V=z*R+F*N,H=F*E,q=1+z-(z*D-B*N),G=B*E,Y=V*G-q*H;if(!Y)break;d-=h=(U*V-j*q)/Y,g-=p=(j*G-U*H)/Y}while((n(h)>v||n(p)>v)&&--x>0);return[d,g]},u}Tt.invert=function(t,e){var r=e/(1+wt);return[t&&t/(wt*L(1-r*r)),2*i(r)]},kt.invert=function(t,e){var r=i(e/T),n=o(r),a=2*r;return[t*T/2/(o(a)*n*n),a]};var It=Pt(2.8284,-1.6988,.75432,-.18071,1.76003,-.38914,.042555);var Ot=Pt(2.583819,-.835827,.170354,-.038094,1.543313,-.411435,.082742);var zt=Pt(5/6*y,-.62636,-.0344,0,1.3493,-.05524,0,.045);function Dt(t,e){var r=t*t,n=e*e;return[t*(1-.162388*n)*(.87-952426e-9*r*r),e*(1+n/12)]}Dt.invert=function(t,e){var r,i=t,a=e,o=50;do{var s=a*a;a-=r=(a*(1+s/12)-e)/(1+s/4)}while(n(r)>v&&--o>0);o=50,t/=1-.162388*s;do{var 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n(t);f=m-_,h=g-w,p=v-T,d=1/Math.sqrt(f*f+h*h+p*p),a=x*(p*=d)-b*(h*=d),o=b*(f*=d)-y*p,s=y*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0);l=h*s-p*o,c=p*a-f*s,u=f*o-h*a,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=c,t[6]=h,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(a*m+o*g+s*v),t[13]=-(l*m+c*g+u*v),t[14]=-(f*m+h*g+p*v),t[15]=1,t}},{"./identity":209}],213:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],m=e[12],g=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*m,t[1]=x*i+b*l+_*h+w*g,t[2]=x*a+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*m,t[5]=x*i+b*l+_*h+w*g,t[6]=x*a+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*m,t[9]=x*i+b*l+_*h+w*g,t[10]=x*a+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*m,t[13]=x*i+b*l+_*h+w*g,t[14]=x*a+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],214:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t}},{}],215:[function(t,e,r){e.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},{}],216:[function(t,e,r){e.exports=function(t,e,r,n){var i=Math.tan(e.upDegrees*Math.PI/180),a=Math.tan(e.downDegrees*Math.PI/180),o=Math.tan(e.leftDegrees*Math.PI/180),s=Math.tan(e.rightDegrees*Math.PI/180),l=2/(o+s),c=2/(i+a);return t[0]=l,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=c,t[6]=0,t[7]=0,t[8]=-(o-s)*l*.5,t[9]=(i-a)*c*.5,t[10]=n/(r-n),t[11]=-1,t[12]=0,t[13]=0,t[14]=n*r/(r-n),t[15]=0,t}},{}],217:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S,E=n[0],L=n[1],C=n[2],P=Math.sqrt(E*E+L*L+C*C);if(Math.abs(P)<1e-6)return null;E*=P=1/P,L*=P,C*=P,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],f=e[4],h=e[5],p=e[6],d=e[7],m=e[8],g=e[9],v=e[10],y=e[11],x=E*E*o+a,b=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,T=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,M=L*C*o-E*i,S=C*C*o+a,t[0]=s*x+f*b+m*_,t[1]=l*x+h*b+g*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+f*T+m*k,t[5]=l*w+h*T+g*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*A+f*M+m*S,t[9]=l*A+h*M+g*S,t[10]=c*A+p*M+v*S,t[11]=u*A+d*M+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],218:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},{}],219:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},{}],220:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],f=e[6],h=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},{}],221:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],222:[function(t,e,r){e.exports=function(t){return"mat4("+t[0]+", "+t[1]+", "+t[2]+", "+t[3]+", "+t[4]+", "+t[5]+", "+t[6]+", "+t[7]+", "+t[8]+", "+t[9]+", "+t[10]+", "+t[11]+", "+t[12]+", "+t[13]+", "+t[14]+", "+t[15]+")"}},{}],223:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o,s,l,c,u,f,h,p,d,m=r[0],g=r[1],v=r[2];e===t?(t[12]=e[0]*m+e[4]*g+e[8]*v+e[12],t[13]=e[1]*m+e[5]*g+e[9]*v+e[13],t[14]=e[2]*m+e[6]*g+e[10]*v+e[14],t[15]=e[3]*m+e[7]*g+e[11]*v+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*m+s*g+f*v+e[12],t[13]=i*m+l*g+h*v+e[13],t[14]=a*m+c*g+p*v+e[14],t[15]=o*m+u*g+d*v+e[15]);return t}},{}],224:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],225:[function(t,e,r){"use strict";var n=t("css-font"),i=t("pick-by-alias"),a=t("regl"),o=t("gl-util/context"),s=t("es6-weak-map"),l=t("color-normalize"),c=t("font-atlas"),u=t("typedarray-pool"),f=t("parse-rect"),h=t("is-plain-obj"),p=t("parse-unit"),d=t("to-px"),m=t("detect-kerning"),g=t("object-assign"),v=t("font-measure"),y=t("flatten-vertex-data"),x=t("bit-twiddle").nextPow2,b=new s,_=!1;if(document.body){var w=document.body.appendChild(document.createElement("div"));w.style.font="italic small-caps bold condensed 16px/2 cursive",getComputedStyle(w).fontStretch&&(_=!0),document.body.removeChild(w)}var T=function(t){!function(t){return"function"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||a({gl:this.gl}),this.charBuffer=this.regl.buffer({type:"uint8",usage:"stream"}),this.sizeBuffer=this.regl.buffer({type:"float",usage:"stream"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(h(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:"src alpha",dstRGB:"one minus src alpha",srcAlpha:"one minus dst 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maskY;\n\t\t\t\tcolor.a *= opacity;\n\n\t\t\t\t// color.a += .1;\n\n\t\t\t\t// antialiasing, see yiq color space y-channel formula\n\t\t\t\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\n\n\t\t\t\tgl_FragColor = color;\n\t\t\t}"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if("string"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:"position positions coord coords coordinates",font:"font fontFace fontface typeface cssFont css-font family fontFamily",fontSize:"fontSize fontsize size font-size",text:"text texts chars characters value values symbols",align:"align alignment textAlign textbaseline",baseline:"baseline textBaseline textbaseline",direction:"dir direction textDirection",color:"color colour fill fill-color fillColor textColor textcolor",kerning:"kerning kern",range:"range dataBox",viewport:"vp viewport viewBox viewbox viewPort",opacity:"opacity alpha transparency visible visibility opaque",offset:"offset positionOffset padding 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sn(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};an(t)||(t=cn(t));var e=Wr(t,on);if("error"===e.result)throw new Error(e.value.map((function(t){return t.key+": "+t.message})).join(", "));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:function t(e){if(!Array.isArray(e))return!1;if("within"===e[0])return!0;for(var r=1;r<e.length;r++)if(t(e[r]))return!0;return!1}(t)}}function ln(t,e){return t<e?-1:t>e?1:0}function cn(t){if(!t)return!0;var e,r=t[0];return t.length<=1?"any"!==r:"=="===r?un(t[1],t[2],"=="):"!="===r?pn(un(t[1],t[2],"==")):"<"===r||">"===r||"<="===r||">="===r?un(t[1],t[2],r):"any"===r?(e=t.slice(1),["any"].concat(e.map(cn))):"all"===r?["all"].concat(t.slice(1).map(cn)):"none"===r?["all"].concat(t.slice(1).map(cn).map(pn)):"in"===r?fn(t[1],t.slice(2)):"!in"===r?pn(fn(t[1],t.slice(2))):"has"===r?hn(t[1]):"!has"===r?pn(hn(t[1])):"within"!==r||t}function 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Ct(n,r,'filter array for "'+r[0]+'" operator must have 2 elements')):"string"!==i&&o.push(new Ct(n+"[1]",r[1],"string expected, "+i+" found"));break;case"within":i=Fr(r[1]),2!==r.length?o.push(new Ct(n,r,'filter array for "'+r[0]+'" operator must have 2 elements')):"object"!==i&&o.push(new Ct(n+"[1]",r[1],"object expected, "+i+" found"))}return o}(t)}function mn(t,e){var r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+"_"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if("paint"===e&&l&&s[l[1]]&&s[l[1]].transition)return kn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var c,u=t.valueSpec||s[o];if(!u)return[new Ct(r,a,'unknown property "'+o+'"')];if("string"===Fr(a)&&zr(u)&&!u.tokens&&(c=/^{([^}]+)}$/.exec(a)))return[new Ct(r,a,'"'+o+'" does not support interpolation syntax\nUse an identity property function instead: `{ "type": "identity", "property": '+JSON.stringify(c[1])+" }`.")];var 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e.push(new Ct(n,r,'missing required property "source"'));return e=e.concat(Qr({key:n,value:r,valueSpec:a.layer,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{"*":function(){return[]},type:function(){return kn({key:n+".type",value:r.type,valueSpec:a.layer.type,style:t.style,styleSpec:t.styleSpec,object:r,objectKey:"type"})},filter:dn,layout:function(t){return Qr({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{"*":function(t){return vn(It({layerType:s},t))}}})},paint:function(t){return Qr({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{"*":function(t){return gn(It({layerType:s},t))}}})}}}))}function xn(t){var e=t.value,r=t.key,n=Fr(e);return"string"!==n?[new Ct(r,e,"string expected, "+n+" found")]:[]}var bn={promoteId:function(t){var e=t.key,r=t.value;if("string"===Fr(r))return xn({key:e,value:r});var n=[];for(var i in r)n.push.apply(n,xn({key:e+"."+i,value:r[i]}));return 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i=this._transitionablePaint._values[t],a="cross-faded-data-driven"===i.property.specification["property-type"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||(!!(this.maxzoom&&t>=this.maxzoom)||"none"===this.visibility)},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,"source-layer":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),y(t,(function(t,e){return!(void 0===t||"layout"===e&&!Object.keys(t).length||"paint"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&On(this,t.call(Ln,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Lt,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof bi&&zr(e.property.specification)&&(("source"===e.value.kind||"composite"===e.value.kind)&&e.value.isStateDependent))return!0}return!1},e}(Et),Li={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},Ci=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Pi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ii(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Li[i].BYTES_PER_ELEMENT),o=r=Oi(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:Oi(r,Math.max(n,e)),alignment:e}}function Oi(t,e){return Math.ceil(t/e)*e}Pi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Pi.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Pi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Pi.prototype.clear=function(){this.length=0},Pi.prototype.resize=function(t){this.reserve(t),this.length=t},Pi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Pi.prototype._refreshViews=function(){throw new Error("_refreshViews() must be implemented by each concrete StructArray layout")};var zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Pi);zi.prototype.bytesPerElement=4,Nn("StructArrayLayout2i4",zi);var Di=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t},e}(Pi);Di.prototype.bytesPerElement=8,Nn("StructArrayLayout4i8",Di);var Ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Ri.prototype.bytesPerElement=12,Nn("StructArrayLayout2i4i12",Ri);var Fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Pi);Fi.prototype.bytesPerElement=8,Nn("StructArrayLayout2i4ub8",Fi);var Bi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u){var f=9*t,h=18*t;return this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint8[h+16]=c,this.uint8[h+17]=u,t},e}(Pi);Bi.prototype.bytesPerElement=18,Nn("StructArrayLayout8ui2ub18",Bi);var Ni=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,c,u,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Pi);Ni.prototype.bytesPerElement=24,Nn("StructArrayLayout4i4ui4i24",Ni);var ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Pi);ji.prototype.bytesPerElement=12,Nn("StructArrayLayout3f12",ji);var Ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Pi);Ui.prototype.bytesPerElement=4,Nn("StructArrayLayout1ul4",Ui);var Vi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c){var u=10*t,f=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[f+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t},e}(Pi);Vi.prototype.bytesPerElement=20,Nn("StructArrayLayout6i1ul2ui20",Vi);var Hi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Hi.prototype.bytesPerElement=12,Nn("StructArrayLayout2i2i2i12",Hi);var qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Pi);qi.prototype.bytesPerElement=16,Nn("StructArrayLayout2f1f2i16",qi);var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Pi);Gi.prototype.bytesPerElement=12,Nn("StructArrayLayout2ub2f12",Gi);var Yi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(Pi);Yi.prototype.bytesPerElement=6,Nn("StructArrayLayout3ui6",Yi);var Wi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g){var v=this.length;return this.resize(v+1),this.emplace(v,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v){var y=24*t,x=12*t,b=48*t;return this.int16[y+0]=e,this.int16[y+1]=r,this.uint16[y+2]=n,this.uint16[y+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[y+10]=l,this.uint16[y+11]=c,this.uint16[y+12]=u,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=m,this.uint32[x+10]=g,this.int16[y+22]=v,t},e}(Pi);Wi.prototype.bytesPerElement=48,Nn("StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48",Wi);var Zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=c,this.uint16[L+9]=u,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=m,this.uint16[L+15]=g,this.uint16[L+16]=v,this.uint16[L+17]=y,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Pi);Zi.prototype.bytesPerElement=68,Nn("StructArrayLayout8i15ui1ul4f68",Zi);var Xi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(Pi);Xi.prototype.bytesPerElement=4,Nn("StructArrayLayout1f4",Xi);var Ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(Pi);Ji.prototype.bytesPerElement=6,Nn("StructArrayLayout3i6",Ji);var Ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(Pi);Ki.prototype.bytesPerElement=8,Nn("StructArrayLayout1ul2ui8",Ki);var Qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(Pi);Qi.prototype.bytesPerElement=4,Nn("StructArrayLayout2ui4",Qi);var $i=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(Pi);$i.prototype.bytesPerElement=2,Nn("StructArrayLayout1ui2",$i);var ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(Pi);ta.prototype.bytesPerElement=8,Nn("StructArrayLayout2f8",ta);var ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return 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t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getoffsetX=function(t){return this.float32[1*t+0]},e}(Xi);Nn("GlyphOffsetArray",la);var ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getx=function(t){return this.int16[3*t+0]},e.prototype.gety=function(t){return this.int16[3*t+1]},e.prototype.gettileUnitDistanceFromAnchor=function(t){return this.int16[3*t+2]},e}(Ji);Nn("SymbolLineVertexArray",ca);var ua=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0}};return r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+0]},r.sourceLayerIndex.get=function(){return 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Ra=function(t,e){this.uniformNames=e.map((function(t){return"u_"+t})),this.patternFrom=null,this.patternTo=null,this.pixelRatioFrom=1,this.pixelRatioTo=1};Ra.prototype.setConstantPatternPositions=function(t,e){this.pixelRatioFrom=e.pixelRatio,this.pixelRatioTo=t.pixelRatio,this.patternFrom=e.tlbr,this.patternTo=t.tlbr},Ra.prototype.setUniform=function(t,e,r,n){var i="u_pattern_to"===n?this.patternTo:"u_pattern_from"===n?this.patternFrom:"u_pixel_ratio_to"===n?this.pixelRatioTo:"u_pixel_ratio_from"===n?this.pixelRatioFrom:null;i&&t.set(i)},Ra.prototype.getBinding=function(t,e,r){return"u_pattern"===r.substr(0,9)?new Ca(t,e):new Sa(t,e)};var Fa=function(t,e,r,n){this.expression=t,this.type=r,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:"a_"+t,type:"Float32",components:"color"===r?2:1,offset:0}})),this.paintVertexArray=new n};Fa.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.paintVertexArray.length,o=this.expression.evaluate(new pi(0),e,{},n,[],i);this.paintVertexArray.resize(t),this._setPaintValue(a,t,o)},Fa.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:0},r,n);this._setPaintValue(t,e,i)},Fa.prototype._setPaintValue=function(t,e,r){if("color"===this.type)for(var n=za(r),i=t;i<e;i++)this.paintVertexArray.emplace(i,n[0],n[1]);else{for(var a=t;a<e;a++)this.paintVertexArray.emplace(a,r);this.maxValue=Math.max(this.maxValue,Math.abs(r))}},Fa.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},Fa.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()};var Ba=function(t,e,r,n,i,a){this.expression=t,this.uniformNames=e.map((function(t){return"u_"+t+"_t"})),this.type=r,this.useIntegerZoom=n,this.zoom=i,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:"a_"+t,type:"Float32",components:"color"===r?4:2,offset:0}})),this.paintVertexArray=new a};Ba.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.expression.evaluate(new pi(this.zoom),e,{},n,[],i),o=this.expression.evaluate(new pi(this.zoom+1),e,{},n,[],i),s=this.paintVertexArray.length;this.paintVertexArray.resize(t),this._setPaintValue(s,t,a,o)},Ba.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:this.zoom},r,n),a=this.expression.evaluate({zoom:this.zoom+1},r,n);this._setPaintValue(t,e,i,a)},Ba.prototype._setPaintValue=function(t,e,r,n){if("color"===this.type)for(var i=za(r),a=za(n),o=t;o<e;o++)this.paintVertexArray.emplace(o,i[0],i[1],a[0],a[1]);else{for(var s=t;s<e;s++)this.paintVertexArray.emplace(s,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}},Ba.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},Ba.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},Ba.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=l(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},Ba.prototype.getBinding=function(t,e,r){return new Sa(t,e)};var Na=function(t,e,r,n,i,a){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=a,this.zoomInPaintVertexArray=new i,this.zoomOutPaintVertexArray=new i};Na.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)},Na.prototype.updatePaintArray=function(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)},Na.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var i=r.min,a=r.mid,o=r.max,s=n[i],l=n[a],c=n[o];if(s&&l&&c)for(var u=t;u<e;u++)this.zoomInPaintVertexArray.emplace(u,l.tl[0],l.tl[1],l.br[0],l.br[1],s.tl[0],s.tl[1],s.br[0],s.br[1],l.pixelRatio,s.pixelRatio),this.zoomOutPaintVertexArray.emplace(u,l.tl[0],l.tl[1],l.br[0],l.br[1],c.tl[0],c.tl[1],c.br[0],c.br[1],l.pixelRatio,c.pixelRatio)}},Na.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,ma.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,ma.members,this.expression.isStateDependent))},Na.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var ja=function(t,e,r,n){this.binders={},this.layoutAttributes=n,this._buffers=[];var i=[];for(var a in t.paint._values)if(r(a)){var o=t.paint.get(a);if(o instanceof bi&&zr(o.property.specification)){var s=Va(a,t.type),l=o.value,c=o.property.specification.type,u=o.property.useIntegerZoom,f=o.property.specification["property-type"],h="cross-faded"===f||"cross-faded-data-driven"===f;if("constant"===l.kind)this.binders[a]=h?new Ra(l.value,s):new Da(l.value,s,c),i.push("/u_"+a);else if("source"===l.kind||h){var p=Ha(a,c,"source");this.binders[a]=h?new Na(l,c,u,e,p,t.id):new Fa(l,s,c,p),i.push("/a_"+a)}else{var d=Ha(a,c,"composite");this.binders[a]=new Ba(l,s,c,u,e,d),i.push("/z_"+a)}}}this.cacheKey=i.sort().join("")};ja.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof Fa||e instanceof Ba?e.maxValue:0},ja.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof Fa||o instanceof Ba||o instanceof Na)&&o.populatePaintArray(t,e,r,n,i)}},ja.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders){var n=this.binders[r];n instanceof Ra&&n.setConstantPatternPositions(t,e)}},ja.prototype.updatePaintArrays=function(t,e,r,n,i){var a=!1;for(var o in t)for(var s=0,l=e.getPositions(o);s<l.length;s+=1){var c=l[s],u=r.feature(c.index);for(var f in this.binders){var h=this.binders[f];if((h instanceof Fa||h instanceof Ba||h instanceof Na)&&!0===h.expression.isStateDependent){var p=n.paint.get(f);h.expression=p.value,h.updatePaintArray(c.start,c.end,u,t[o],i),a=!0}}}return a},ja.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof Da||r instanceof Ra)&&t.push.apply(t,r.uniformNames.map((function(t){return"#define HAS_UNIFORM_"+t})))}return t},ja.prototype.getPaintVertexBuffers=function(){return this._buffers},ja.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var i=this.binders[n];if(i instanceof Da||i instanceof Ra||i instanceof Ba)for(var a=0,o=i.uniformNames;a<o.length;a+=1){var s=o[a];if(e[s]){var l=i.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l})}}}return r},ja.prototype.setUniforms=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.name,l=o.property,c=o.binding;this.binders[l].setUniform(c,n,r.get(l),s)}},ja.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof Na){var n=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;n&&this._buffers.push(n)}else(r instanceof Fa||r instanceof Ba)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}},ja.prototype.upload=function(t){for(var e in this.binders){var r=this.binders[e];(r instanceof Fa||r instanceof Ba||r instanceof Na)&&r.upload(t)}this.updatePaintBuffers()},ja.prototype.destroy=function(){for(var t in this.binders){var e=this.binders[t];(e instanceof Fa||e instanceof Ba||e instanceof Na)&&e.destroy()}};var Ua=function(t,e,r,n){void 0===n&&(n=function(){return!0}),this.programConfigurations={};for(var i=0,a=e;i<a.length;i+=1){var o=a[i];this.programConfigurations[o.id]=new ja(o,r,n,t)}this.needsUpload=!1,this._featureMap=new _a,this._bufferOffset=0};function Va(t,e){return{"text-opacity":["opacity"],"icon-opacity":["opacity"],"text-color":["fill_color"],"icon-color":["fill_color"],"text-halo-color":["halo_color"],"icon-halo-color":["halo_color"],"text-halo-blur":["halo_blur"],"icon-halo-blur":["halo_blur"],"text-halo-width":["halo_width"],"icon-halo-width":["halo_width"],"line-gap-width":["gapwidth"],"line-pattern":["pattern_to","pattern_from","pixel_ratio_to","pixel_ratio_from"],"fill-pattern":["pattern_to","pattern_from","pixel_ratio_to","pixel_ratio_from"],"fill-extrusion-pattern":["pattern_to","pattern_from","pixel_ratio_to","pixel_ratio_from"]}[t]||[t.replace(e+"-","").replace(/-/g,"_")]}function Ha(t,e,r){var n={color:{source:ta,composite:ea},number:{source:Xi,composite:ta}},i=function(t){return{"line-pattern":{source:Bi,composite:Bi},"fill-pattern":{source:Bi,composite:Bi},"fill-extrusion-pattern":{source:Bi,composite:Bi}}[t]}(t);return i&&i[r]||n[e][r]}Ua.prototype.populatePaintArrays=function(t,e,r,n,i,a){for(var o in this.programConfigurations)this.programConfigurations[o].populatePaintArrays(t,e,n,i,a);void 0!==e.id&&this._featureMap.add(e.id,r,this._bufferOffset,t),this._bufferOffset=t,this.needsUpload=!0},Ua.prototype.updatePaintArrays=function(t,e,r,n){for(var i=0,a=r;i<a.length;i+=1){var o=a[i];this.needsUpload=this.programConfigurations[o.id].updatePaintArrays(t,this._featureMap,e,o,n)||this.needsUpload}},Ua.prototype.get=function(t){return this.programConfigurations[t]},Ua.prototype.upload=function(t){if(this.needsUpload){for(var e in this.programConfigurations)this.programConfigurations[e].upload(t);this.needsUpload=!1}},Ua.prototype.destroy=function(){for(var t in this.programConfigurations)this.programConfigurations[t].destroy()},Nn("ConstantBinder",Da),Nn("CrossFadedConstantBinder",Ra),Nn("SourceExpressionBinder",Fa),Nn("CrossFadedCompositeBinder",Na),Nn("CompositeExpressionBinder",Ba),Nn("ProgramConfiguration",ja,{omit:["_buffers"]}),Nn("ProgramConfigurationSet",Ua);var qa,Ga=(qa=15,{min:-1*Math.pow(2,qa-1),max:Math.pow(2,qa-1)-1});function Ya(t){for(var e=8192/t.extent,r=t.loadGeometry(),n=0;n<r.length;n++)for(var i=r[n],a=0;a<i.length;a++){var o=i[a];o.x=Math.round(o.x*e),o.y=Math.round(o.y*e),(o.x<Ga.min||o.x>Ga.max||o.y<Ga.min||o.y>Ga.max)&&(_("Geometry exceeds allowed extent, reduce your vector tile buffer size"),o.x=l(o.x,Ga.min,Ga.max),o.y=l(o.y,Ga.min,Ga.max))}return r}function Wa(t,e,r,n,i){t.emplaceBack(2*e+(n+1)/2,2*r+(i+1)/2)}var Za=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new zi,this.indexArray=new Yi,this.segments=new pa,this.programConfigurations=new Ua(ha,t.layers,t.zoom),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function Xa(t,e){for(var r=0;r<t.length;r++)if(io(e,t[r]))return!0;for(var n=0;n<e.length;n++)if(io(t,e[n]))return!0;return!!$a(t,e)}function Ja(t,e,r){return!!io(t,e)||!!eo(e,t,r)}function Ka(t,e){if(1===t.length)return no(e,t[0]);for(var r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++)if(io(t,n[i]))return!0;for(var a=0;a<t.length;a++)if(no(e,t[a]))return!0;for(var o=0;o<e.length;o++)if($a(t,e[o]))return!0;return!1}function Qa(t,e,r){if(t.length>1){if($a(t,e))return!0;for(var n=0;n<e.length;n++)if(eo(e[n],t,r))return!0}for(var i=0;i<t.length;i++)if(eo(t[i],e,r))return!0;return!1}function $a(t,e){if(0===t.length||0===e.length)return!1;for(var r=0;r<t.length-1;r++)for(var n=t[r],i=t[r+1],a=0;a<e.length-1;a++){if(to(n,i,e[a],e[a+1]))return!0}return!1}function to(t,e,r,n){return w(t,r,n)!==w(e,r,n)&&w(t,e,r)!==w(t,e,n)}function eo(t,e,r){var n=r*r;if(1===e.length)return t.distSqr(e[0])<n;for(var i=1;i<e.length;i++){if(ro(t,e[i-1],e[i])<n)return!0}return!1}function ro(t,e,r){var n=e.distSqr(r);if(0===n)return t.distSqr(e);var i=((t.x-e.x)*(r.x-e.x)+(t.y-e.y)*(r.y-e.y))/n;return i<0?t.distSqr(e):i>1?t.distSqr(r):t.distSqr(r.sub(e)._mult(i)._add(e))}function no(t,e){for(var r,n,i,a=!1,o=0;o<t.length;o++)for(var s=0,l=(r=t[o]).length-1;s<r.length;l=s++)n=r[s],i=r[l],n.y>e.y!=i.y>e.y&&e.x<(i.x-n.x)*(e.y-n.y)/(i.y-n.y)+n.x&&(a=!a);return a}function io(t,e){for(var r=!1,n=0,i=t.length-1;n<t.length;i=n++){var a=t[n],o=t[i];a.y>e.y!=o.y>e.y&&e.x<(o.x-a.x)*(e.y-a.y)/(o.y-a.y)+a.x&&(r=!r)}return r}function ao(t,e,r){var n=r[0],i=r[2];if(t.x<n.x&&e.x<n.x||t.x>i.x&&e.x>i.x||t.y<n.y&&e.y<n.y||t.y>i.y&&e.y>i.y)return!1;var a=w(t,e,r[0]);return a!==w(t,e,r[1])||a!==w(t,e,r[2])||a!==w(t,e,r[3])}function oo(t,e,r){var n=e.paint.get(t).value;return"constant"===n.kind?n.value:r.programConfigurations.get(e.id).getMaxValue(t)}function so(t){return Math.sqrt(t[0]*t[0]+t[1]*t[1])}function lo(t,e,r,n,a){if(!e[0]&&!e[1])return t;var o=i.convert(e)._mult(a);"viewport"===r&&o._rotate(-n);for(var s=[],l=0;l<t.length;l++){var c=t[l];s.push(c.sub(o))}return s}Za.prototype.populate=function(t,e,r){var n=this.layers[0],i=[],a=null;"circle"===n.type&&(a=n.layout.get("circle-sort-key"));for(var o=0,s=t;o<s.length;o+=1){var l=s[o],c=l.feature,u=l.id,f=l.index,h=l.sourceLayerIndex,p=this.layers[0]._featureFilter.needGeometry,d={type:c.type,id:u,properties:c.properties,geometry:p?Ya(c):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),d,r)){p||(d.geometry=Ya(c));var m=a?a.evaluate(d,{},r):void 0,g={id:u,properties:c.properties,type:c.type,sourceLayerIndex:h,index:f,geometry:d.geometry,patterns:{},sortKey:m};i.push(g)}}a&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var v=0,y=i;v<y.length;v+=1){var x=y[v],b=x,_=b.geometry,w=b.index,T=b.sourceLayerIndex,k=t[w].feature;this.addFeature(x,_,w,r),e.featureIndex.insert(k,_,w,T,this.index)}},Za.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Za.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Za.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Za.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,ha),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Za.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Za.prototype.addFeature=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1)for(var o=0,s=a[i];o<s.length;o+=1){var l=s[o],c=l.x,u=l.y;if(!(c<0||c>=8192||u<0||u>=8192)){var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray,t.sortKey),h=f.vertexLength;Wa(this.layoutVertexArray,c,u,-1,-1),Wa(this.layoutVertexArray,c,u,1,-1),Wa(this.layoutVertexArray,c,u,1,1),Wa(this.layoutVertexArray,c,u,-1,1),this.indexArray.emplaceBack(h,h+1,h+2),this.indexArray.emplaceBack(h,h+3,h+2),f.vertexLength+=4,f.primitiveLength+=2}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,{},n)},Nn("CircleBucket",Za,{omit:["layers"]});var co=new Si({"circle-sort-key":new Ti(Lt.layout_circle["circle-sort-key"])}),uo={paint:new Si({"circle-radius":new Ti(Lt.paint_circle["circle-radius"]),"circle-color":new Ti(Lt.paint_circle["circle-color"]),"circle-blur":new Ti(Lt.paint_circle["circle-blur"]),"circle-opacity":new Ti(Lt.paint_circle["circle-opacity"]),"circle-translate":new wi(Lt.paint_circle["circle-translate"]),"circle-translate-anchor":new wi(Lt.paint_circle["circle-translate-anchor"]),"circle-pitch-scale":new 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c=e[s]*r,u=s<l-1?e[s+1]*r:t.length;o-=Math.abs(ls(t,c,u,r))}var f=0;for(s=0;s<n.length;s+=3){var h=n[s]*r,p=n[s+1]*r,d=n[s+2]*r;f+=Math.abs((t[h]-t[d])*(t[p+1]-t[h+1])-(t[h]-t[p])*(t[d+1]-t[h+1]))}return 0===o&&0===f?0:Math.abs((f-o)/o)},Fo.flatten=function(t){for(var e=t[0][0].length,r={vertices:[],holes:[],dimensions:e},n=0,i=0;i<t.length;i++){for(var a=0;a<t[i].length;a++)for(var o=0;o<e;o++)r.vertices.push(t[i][a][o]);i>0&&(n+=t[i-1].length,r.holes.push(n))}return r},Do.default=Ro;var gs=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new zi,this.indexArray=new Yi,this.indexArray2=new Qi,this.programConfigurations=new Ua(zo,t.layers,t.zoom),this.segments=new pa,this.segments2=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};gs.prototype.populate=function(t,e,r){this.hasPattern=ds("fill",this.layers,e);for(var n=this.layers[0].layout.get("fill-sort-key"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,c=s.id,u=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:c,properties:l.properties,geometry:h?Ya(l):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),p,r)){h||(p.geometry=Ya(l));var d=n?n.evaluate(p,{},r,e.availableImages):void 0,m={id:c,properties:l.properties,type:l.type,sourceLayerIndex:f,index:u,geometry:p.geometry,patterns:{},sortKey:d};i.push(m)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,v=i;g<v.length;g+=1){var y=v[g],x=y,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=ms("fill",this.layers,y,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(y,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},gs.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},gs.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},gs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},gs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},gs.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,zo),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.indexBuffer2=t.createIndexBuffer(this.indexArray2)),this.programConfigurations.upload(t),this.uploaded=!0},gs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.indexBuffer2.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.segments2.destroy())},gs.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=hs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,c=0,u=s;c<u.length;c+=1){l+=u[c].length}for(var f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray),h=f.vertexLength,p=[],d=[],m=0,g=s;m<g.length;m+=1){var v=g[m];if(0!==v.length){v!==s[0]&&d.push(p.length/2);var y=this.segments2.prepareSegment(v.length,this.layoutVertexArray,this.indexArray2),x=y.vertexLength;this.layoutVertexArray.emplaceBack(v[0].x,v[0].y),this.indexArray2.emplaceBack(x+v.length-1,x),p.push(v[0].x),p.push(v[0].y);for(var b=1;b<v.length;b++)this.layoutVertexArray.emplaceBack(v[b].x,v[b].y),this.indexArray2.emplaceBack(x+b-1,x+b),p.push(v[b].x),p.push(v[b].y);y.vertexLength+=v.length,y.primitiveLength+=v.length}}for(var _=Do(p,d),w=0;w<_.length;w+=3)this.indexArray.emplaceBack(h+_[w],h+_[w+1],h+_[w+2]);f.vertexLength+=l,f.primitiveLength+=_.length/3}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},Nn("FillBucket",gs,{omit:["layers","patternFeatures"]});var vs=new Si({"fill-sort-key":new Ti(Lt.layout_fill["fill-sort-key"])}),ys={paint:new Si({"fill-antialias":new wi(Lt.paint_fill["fill-antialias"]),"fill-opacity":new Ti(Lt.paint_fill["fill-opacity"]),"fill-color":new Ti(Lt.paint_fill["fill-color"]),"fill-outline-color":new Ti(Lt.paint_fill["fill-outline-color"]),"fill-translate":new wi(Lt.paint_fill["fill-translate"]),"fill-translate-anchor":new wi(Lt.paint_fill["fill-translate-anchor"]),"fill-pattern":new ki(Lt.paint_fill["fill-pattern"])}),layout:vs},xs=function(t){function e(e){t.call(this,e,ys)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){t.prototype.recalculate.call(this,e,r);var n=this.paint._values["fill-outline-color"];"constant"===n.value.kind&&void 0===n.value.value&&(this.paint._values["fill-outline-color"]=this.paint._values["fill-color"])},e.prototype.createBucket=function(t){return new gs(t)},e.prototype.queryRadius=function(){return so(this.paint.get("fill-translate"))},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,a,o){return 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c=t.readVarint();n=7&c,a=c>>3}if(a--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new i(o,s));else{if(7!==n)throw new Error("unknown command "+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},ws.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,c=-1/0;t.pos<e;){if(n<=0){var u=t.readVarint();r=7&u,n=u>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>c&&(c=a);else if(7!==r)throw new Error("unknown command "+r)}return[o,l,s,c]},ws.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),c=ws.types[this.type];function u(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var f=[];for(n=0;n<l.length;n++)f[n]=l[n][0];u(l=f);break;case 2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=ks(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}r&&i.push(r);return i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)u(l[n][i])}1===l.length?l=l[0]:c="Multi"+c;var h={type:"Feature",geometry:{type:c,coordinates:l},properties:this.properties};return"id"in this&&(h.id=this.id),h};var As=Ms;function Ms(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(Ss,this,e),this.length=this._features.length}function Ss(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){var e=null,r=t.readVarint()+t.pos;for(;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Es(t,e,r){if(3===t){var n=new As(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Ms.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error("feature index out of bounds");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new _s(this._pbf,e,this.extent,this._keys,this._values)};var Ls={VectorTile:function(t,e){this.layers=t.readFields(Es,{},e)},VectorTileFeature:_s,VectorTileLayer:As},Cs=Ls.VectorTileFeature.types,Ps=Math.pow(2,13);function Is(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*Ps)+o,i*Ps*2,a*Ps*2,Math.round(s))}var Os=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Ri,this.indexArray=new Yi,this.programConfigurations=new Ua(bs,t.layers,t.zoom),this.segments=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function zs(t,e){return t.x===e.x&&(t.x<0||t.x>8192)||t.y===e.y&&(t.y<0||t.y>8192)}function Ds(t){return t.every((function(t){return t.x<0}))||t.every((function(t){return t.x>8192}))||t.every((function(t){return t.y<0}))||t.every((function(t){return t.y>8192}))}Os.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=ds("fill-extrusion",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,c=a.sourceLayerIndex,u=this.layers[0]._featureFilter.needGeometry,f={type:o.type,id:s,properties:o.properties,geometry:u?Ya(o):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),f,r)){var h={id:s,sourceLayerIndex:c,index:l,geometry:u?f.geometry:Ya(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(h.id=o.id),this.hasPattern?this.features.push(ms("fill-extrusion",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,c,this.index,!0)}}},Os.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},Os.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Os.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Os.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Os.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,bs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Os.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Os.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=hs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,c=0,u=s;c<u.length;c+=1){l+=u[c].length}for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!Ds(d))for(var m=0,g=0;g<d.length;g++){var v=d[g];if(g>=1){var y=d[g-1];if(!zs(v,y)){f.vertexLength+4>pa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=v.sub(y)._perp()._unit(),b=y.dist(v);m+b>32768&&(m=0),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,0,m),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,1,m),m+=b,Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,m),Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,m);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>pa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),"Polygon"===Cs[t.type]){for(var w=[],T=[],k=f.vertexLength,A=0,M=s;A<M.length;A+=1){var S=M[A];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var L=S[E];Is(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var 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wi(Lt["paint_fill-extrusion"]["fill-extrusion-vertical-gradient"])})},Fs=function(t){function e(e){t.call(this,e,Rs)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new Os(t)},e.prototype.queryRadius=function(){return so(this.paint.get("fill-extrusion-translate"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,a,o,s,l){var c=lo(t,this.paint.get("fill-extrusion-translate"),this.paint.get("fill-extrusion-translate-anchor"),o.angle,s),u=this.paint.get("fill-extrusion-height").evaluate(e,r),f=this.paint.get("fill-extrusion-base").evaluate(e,r),h=function(t,e,r,n){for(var a=[],o=0,s=t;o<s.length;o+=1){var l=s[o],c=[l.x,l.y,n,1];xo(c,c,e),a.push(new i(c[0]/c[3],c[1]/c[3]))}return a}(c,l,0,0),p=function(t,e,r,n){for(var a=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,m=0,g=t;m<g.length;m+=1){for(var 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a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},qs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},qs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},qs.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,js),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},qs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},qs.prototype.addFeature=function(t,e,r,n,i){for(var a=this.layers[0].layout,o=a.get("line-join").evaluate(t,{}),s=a.get("line-cap"),l=a.get("line-miter-limit"),c=a.get("line-round-limit"),u=0,f=e;u<f.length;u+=1){var h=f[u];this.addLine(h,t,o,s,l,c)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},qs.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty("mapbox_clip_start")&&e.properties.hasOwnProperty("mapbox_clip_end")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance()}for(var s="Polygon"===Us[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var c=0;c<l-1&&t[c].equals(t[c+1]);)c++;if(!(l<(s?3:2))){"bevel"===r&&(i=1.05);var u,f=this.overscaling<=16?122880/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,m=void 0,g=void 0;this.e1=this.e2=-1,s&&(u=t[l-2],g=t[c].sub(u)._unit()._perp());for(var v=c;v<l;v++)if(!(d=v===l-1?s?t[c+1]:void 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O=Math.round(180*w/Math.PI/20),z=1;z<O;z++){var D=z/O;if(.5!==D){var R=D-.5;D+=D*R*(D-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(m)._mult(D)._add(m)._unit()._mult(k?-1:1);this.addHalfVertex(u,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(u,g,-P,-I,h)}else if("butt"===E)this.addCurrentVertex(u,y,0,0,h);else if("square"===E){var B=p?1:-1;this.addCurrentVertex(u,y,B,B,h)}else"round"===E&&(p&&(this.addCurrentVertex(u,m,0,0,h),this.addCurrentVertex(u,m,1,1,h,!0)),d&&(this.addCurrentVertex(u,g,-1,-1,h,!0),this.addCurrentVertex(u,g,0,0,h)));if(T&&v<l-1){var N=u.dist(d);if(N>2*f){var j=u.add(d.sub(u)._mult(f/N)._round());this.updateDistance(u,j),this.addCurrentVertex(j,g,0,0,h),u=j}}}}},qs.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,c=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,c,a,!0,-n,i),this.distance>Hs/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},qs.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,c=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&c)<<2,c>>6);var u=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,u),o.primitiveLength++),i?this.e2=u:this.e1=u},qs.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(Hs-1):this.distance},qs.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},Nn("LineBucket",qs,{omit:["layers","patternFeatures"]});var Gs=new Si({"line-cap":new 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t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(e,r){return r=new pi(Math.floor(r.zoom),{now:r.now,fadeDuration:r.fadeDuration,zoomHistory:r.zoomHistory,transition:r.transition}),t.prototype.possiblyEvaluate.call(this,e,r)},e.prototype.evaluate=function(e,r,n,i){return r=u({},r,{zoom:Math.floor(r.zoom)}),t.prototype.evaluate.call(this,e,r,n,i)},e}(Ti))(Ys.paint.properties["line-width"].specification);Ws.useIntegerZoom=!0;var Zs=function(t){function e(e){t.call(this,e,Ys)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._handleSpecialPaintPropertyUpdate=function(t){"line-gradient"===t&&this._updateGradient()},e.prototype._updateGradient=function(){var 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e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==ol.Bytes)return t.push(this.readFixed64());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==ol.Bytes)return t.push(this.readSFixed64());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===ol.Varint)for(;this.buf[this.pos++]>127;);else if(e===ol.Bytes)this.pos=this.readVarint()+this.pos;else if(e===ol.Fixed32)this.pos+=4;else{if(e!==ol.Fixed64)throw new Error("Unimplemented type: "+e);this.pos+=8}},writeTag:function(t,e){this.writeVarint(t<<3|e)},realloc:function(t){for(var e=this.length||16;e<this.pos+t;)e*=2;if(e!==this.length){var r=new Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e}},finish:function(){return 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r=(7&t)<<4;if(e.buf[e.pos++]|=r|((t>>>=3)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;e.buf[e.pos++]=127&t}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null}else 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n=this.pos-r;n>=128&&ul(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,ol.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,fl,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,hl,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,ml,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,pl,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,dl,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,gl,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,vl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,yl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,xl,e)},writeBytesField:function(t,e){this.writeTag(t,ol.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,ol.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,ol.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,ol.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,ol.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,ol.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,ol.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,ol.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,ol.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,ol.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};function Tl(t,e,r){1===t&&r.readMessage(kl,e)}function kl(t,e,r){if(3===t){var n=r.readMessage(Al,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,c=n.top,u=n.advance;e.push({id:i,bitmap:new So({width:o+6,height:s+6},a),metrics:{width:o,height:s,left:l,top:c,advance:u}})}}function Al(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}function Ml(t){for(var e=0,r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];e+=a.w*a.h,r=Math.max(r,a.w)}t.sort((function(t,e){return e.h-t.h}));for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,c=0,u=t;c<u.length;c+=1)for(var f=u[c],h=o.length-1;h>=0;h--){var p=o[h];if(!(f.w>p.w||f.h>p.h)){if(f.x=p.x,f.y=p.y,l=Math.max(l,f.y+f.h),s=Math.max(s,f.x+f.w),f.w===p.w&&f.h===p.h){var d=o.pop();h<o.length&&(o[h]=d)}else 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Eo({width:o||1,height:s||1});for(var c in t){var u=t[c],f=r[c].paddedRect;Eo.copy(u.data,l,{x:0,y:0},{x:f.x+1,y:f.y+1},u.data)}for(var h in e){var p=e[h],d=n[h].paddedRect,m=d.x+1,g=d.y+1,v=p.data.width,y=p.data.height;Eo.copy(p.data,l,{x:0,y:0},{x:m,y:g},p.data),Eo.copy(p.data,l,{x:0,y:y-1},{x:m,y:g-1},{width:v,height:1}),Eo.copy(p.data,l,{x:0,y:0},{x:m,y:g+y},{width:v,height:1}),Eo.copy(p.data,l,{x:v-1,y:0},{x:m-1,y:g},{width:1,height:y}),Eo.copy(p.data,l,{x:0,y:0},{x:m+v,y:g},{width:1,height:y})}this.image=l,this.iconPositions=r,this.patternPositions=n};Ll.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2,h:i.data.height+2};r.push(a),e[n]=new Sl(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},Ll.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},Ll.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,i=n[0],a=n[1];r.update(e.data,void 0,{x:i,y:a})}},Nn("ImagePosition",Sl),Nn("ImageAtlas",Ll);var Cl={horizontal:1,vertical:2,horizontalOnly:3};var Pl=function(){this.scale=1,this.fontStack="",this.imageName=null};Pl.forText=function(t,e){var r=new Pl;return r.scale=t||1,r.fontStack=e,r},Pl.forImage=function(t){var e=new Pl;return e.imageName=t,e};var Il=function(){this.text="",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function Ol(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m){var g,v=Il.fromFeature(t,i);f===Cl.vertical&&v.verticalizePunctuation();var y=hi.processBidirectionalText,x=hi.processStyledBidirectionalText;if(y&&1===v.sections.length){g=[];for(var b=0,_=y(v.toString(),jl(v,c,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new Il;T.text=w,T.sections=v.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);g.push(T)}}else if(x){g=[];for(var A=0,M=x(v.text,v.sectionIndex,jl(v,c,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new Il;E.text=S[0],E.sectionIndex=S[1],E.sections=v.sections,g.push(E)}}else g=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(v,jl(v,c,a,e,n,p,d));var L=[],C={positionedLines:L,text:v.toString(),top:u[1],bottom:u[1],left:u[0],right:u[0],writingMode:f,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,c,u,f){for(var h=0,p=-17,d=0,m=0,g="right"===s?1:"left"===s?0:.5,v=0,y=0,x=i;y<x.length;y+=1){var b=x[y];b.trim();var _=b.getMaxScale(),w=24*(_-1),T={positionedGlyphs:[],lineOffset:0};t.positionedLines[v]=T;var k=T.positionedGlyphs,A=0;if(b.length()){for(var M=0;M<b.length();M++){var S=b.getSection(M),E=b.getSectionIndex(M),L=b.getCharCode(M),C=0,P=null,I=null,O=null,z=24,D=!(l===Cl.horizontal||!u&&!Xn(L)||u&&(zl[L]||(Y=L,Yn.Arabic(Y)||Yn["Arabic Supplement"](Y)||Yn["Arabic Extended-A"](Y)||Yn["Arabic Presentation Forms-A"](Y)||Yn["Arabic Presentation Forms-B"](Y))));if(S.imageName){var R=n[S.imageName];if(!R)continue;O=S.imageName,t.iconsInText=t.iconsInText||!0,I=R.paddedRect;var F=R.displaySize;S.scale=24*S.scale/f,P={width:F[0],height:F[1],left:1,top:-3,advance:D?F[1]:F[0]};var B=24-F[1]*S.scale;C=w+B,z=P.advance;var N=D?F[0]*S.scale-24*_:F[1]*S.scale-24*_;N>0&&N>A&&(A=N)}else{var j=r[S.fontStack],U=j&&j[L];if(U&&U.rect)I=U.rect,P=U.metrics;else{var V=e[S.fontStack],H=V&&V[L];if(!H)continue;P=H.metrics}C=24*(_-S.scale)}D?(t.verticalizable=!0,k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=z*S.scale+c):(k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=P.advance*S.scale+c)}if(0!==k.length){var q=h-c;d=Math.max(q,d),Vl(k,0,k.length-1,g,A)}h=0;var G=a*_+A;T.lineOffset=Math.max(A,w),p+=G,m=Math.max(G,m),++v}else p+=a,++v}var Y;var W=p- -17,Z=Ul(o),X=Z.horizontalAlign,J=Z.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var c=(e-r)*i,u=0;u=a!==o?-s*n- -17:(-n*l+.5)*o;for(var f=0,h=t;f<h.length;f+=1)for(var p=h[f],d=0,m=p.positionedGlyphs;d<m.length;d+=1){var g=m[d];g.x+=c,g.y+=u}})(t.positionedLines,g,X,J,d,m,a,W,i.length),t.top+=-J*W,t.bottom=t.top+W,t.left+=-X*d,t.right=t.left+d}(C,e,r,n,g,o,s,l,f,c,h,m),!function(t){for(var e=0,r=t;e<r.length;e+=1){if(0!==r[e].positionedGlyphs.length)return!1}return!0}(L)&&C}Il.fromFeature=function(t,e){for(var r=new Il,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},Il.prototype.length=function(){return this.text.length},Il.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},Il.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},Il.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},Il.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e="",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;(!n||!Jn(n)||rl[t[r+1]])&&(!i||!Jn(i)||rl[t[r-1]])&&rl[t[r]]?e+=rl[t[r]]:e+=t[r]}return e}(this.text)},Il.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&zl[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&zl[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},Il.prototype.substring=function(t,e){var r=new Il;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},Il.prototype.toString=function(){return this.text},Il.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return Math.max(e,t.sections[r].scale)}),0)},Il.prototype.addTextSection=function(t,e){this.text+=t.text,this.sections.push(Pl.forText(t.scale,t.fontStack||e));for(var r=this.sections.length-1,n=0;n<t.text.length;++n)this.sectionIndex.push(r)},Il.prototype.addImageSection=function(t){var e=t.image?t.image.name:"";if(0!==e.length){var r=this.getNextImageSectionCharCode();r?(this.text+=String.fromCharCode(r),this.sections.push(Pl.forImage(e)),this.sectionIndex.push(this.sections.length-1)):_("Reached maximum number of images 6401")}else _("Can't add FormattedSection with an empty image.")},Il.prototype.getNextImageSectionCharCode=function(){return this.imageSectionID?this.imageSectionID>=63743?null:++this.imageSectionID:(this.imageSectionID=57344,this.imageSectionID)};var zl={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},Dl={};function Rl(t,e,r,n,i,a){if(e.imageName){var o=n[e.imageName];return o?o.displaySize[0]*e.scale*24/a+i:0}var s=r[e.fontStack],l=s&&s[t];return l?l.metrics.advance*e.scale+i:0}function Fl(t,e,r,n){var i=Math.pow(t-e,2);return n?t<e?i/2:2*i:i+Math.abs(r)*r}function Bl(t,e,r){var n=0;return 10===t&&(n-=1e4),r&&(n+=150),40!==t&&65288!==t||(n+=50),41!==e&&65289!==e||(n+=50),n}function Nl(t,e,r,n,i,a){for(var o=null,s=Fl(e,r,i,a),l=0,c=n;l<c.length;l+=1){var u=c[l],f=Fl(e-u.x,r,i,a)+u.badness;f<=s&&(o=u,s=f)}return{index:t,x:e,priorBreak:o,badness:s}}function jl(t,e,r,n,i,a,o){if("point"!==a)return[];if(!t)return[];for(var s,l=[],c=function(t,e,r,n,i,a){for(var o=0,s=0;s<t.length();s++){var l=t.getSection(s);o+=Rl(t.getCharCode(s),l,n,i,e,a)}return o/Math.max(1,Math.ceil(o/r))}(t,e,r,n,i,o),u=t.text.indexOf("\u200b")>=0,f=0,h=0;h<t.length();h++){var p=t.getSection(h),d=t.getCharCode(h);if(zl[d]||(f+=Rl(d,p,n,i,e,o)),h<t.length()-1){var m=!!(!((s=d)<11904)&&(Yn["Bopomofo Extended"](s)||Yn.Bopomofo(s)||Yn["CJK Compatibility Forms"](s)||Yn["CJK Compatibility Ideographs"](s)||Yn["CJK Compatibility"](s)||Yn["CJK Radicals Supplement"](s)||Yn["CJK Strokes"](s)||Yn["CJK Symbols and Punctuation"](s)||Yn["CJK Unified Ideographs Extension A"](s)||Yn["CJK Unified Ideographs"](s)||Yn["Enclosed CJK Letters and Months"](s)||Yn["Halfwidth and Fullwidth Forms"](s)||Yn.Hiragana(s)||Yn["Ideographic Description Characters"](s)||Yn["Kangxi Radicals"](s)||Yn["Katakana Phonetic Extensions"](s)||Yn.Katakana(s)||Yn["Vertical Forms"](s)||Yn["Yi Radicals"](s)||Yn["Yi Syllables"](s)));(Dl[d]||m||p.imageName)&&l.push(Nl(h+1,f,c,l,Bl(d,t.getCharCode(h+1),m&&u),!1))}}return function t(e){return e?t(e.priorBreak).concat(e.index):[]}(Nl(t.length(),f,c,l,0,!0))}function Ul(t){var e=.5,r=.5;switch(t){case"right":case"top-right":case"bottom-right":e=1;break;case"left":case"top-left":case"bottom-left":e=0}switch(t){case"bottom":case"bottom-right":case"bottom-left":r=1;break;case"top":case"top-right":case"top-left":r=0}return{horizontalAlign:e,verticalAlign:r}}function Vl(t,e,r,n,i){if(n||i)for(var a=t[r],o=a.metrics.advance*a.scale,s=(t[r].x+o)*n,l=e;l<=r;l++)t[l].x-=s,t[l].y+=i}function Hl(t,e,r,n,i,a){var o,s=t.image;if(s.content){var l=s.content,c=s.pixelRatio||1;o=[l[0]/c,l[1]/c,s.displaySize[0]-l[2]/c,s.displaySize[1]-l[3]/c]}var u,f,h,p,d=e.left*a,m=e.right*a;"width"===r||"both"===r?(p=i[0]+d-n[3],f=i[0]+m+n[1]):f=(p=i[0]+(d+m-s.displaySize[0])/2)+s.displaySize[0];var g=e.top*a,v=e.bottom*a;return"height"===r||"both"===r?(u=i[1]+g-n[0],h=i[1]+v+n[2]):h=(u=i[1]+(g+v-s.displaySize[1])/2)+s.displaySize[1],{image:s,top:u,right:f,bottom:h,left:p,collisionPadding:o}}Dl[10]=!0,Dl[32]=!0,Dl[38]=!0,Dl[40]=!0,Dl[41]=!0,Dl[43]=!0,Dl[45]=!0,Dl[47]=!0,Dl[173]=!0,Dl[183]=!0,Dl[8203]=!0,Dl[8208]=!0,Dl[8211]=!0,Dl[8231]=!0;var ql=function(t){function e(e,r,n,i){t.call(this,e,r),this.angle=n,void 0!==i&&(this.segment=i)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.clone=function(){return new e(this.x,this.y,this.angle,this.segment)},e}(i);Nn("Anchor",ql);function Gl(t,e){var r=e.expression;if("constant"===r.kind)return{kind:"constant",layoutSize:r.evaluate(new pi(t+1))};if("source"===r.kind)return{kind:"source"};for(var n=r.zoomStops,i=r.interpolationType,a=0;a<n.length&&n[a]<=t;)a++;for(var o=a=Math.max(0,a-1);o<n.length&&n[o]<t+1;)o++;o=Math.min(n.length-1,o);var s=n[a],l=n[o];return"composite"===r.kind?{kind:"composite",minZoom:s,maxZoom:l,interpolationType:i}:{kind:"camera",minZoom:s,maxZoom:l,minSize:r.evaluate(new pi(s)),maxSize:r.evaluate(new pi(l)),interpolationType:i}}function Yl(t,e,r){var n=e.uSize,i=e.uSizeT,a=r.lowerSize,o=r.upperSize;return"source"===t.kind?a/128:"composite"===t.kind?qe(a/128,o/128,i):n}function Wl(t,e){var r=0,n=0;if("constant"===t.kind)n=t.layoutSize;else if("source"!==t.kind){var i=t.interpolationType,a=t.minZoom,o=t.maxZoom,s=i?l(or.interpolationFactor(i,e,a,o),0,1):0;"camera"===t.kind?n=qe(t.minSize,t.maxSize,s):r=s}return{uSizeT:r,uSize:n}}var Zl=Object.freeze({__proto__:null,getSizeData:Gl,evaluateSizeForFeature:Yl,evaluateSizeForZoom:Wl,SIZE_PACK_FACTOR:128});function Xl(t,e,r,n,i){if(void 0===e.segment)return!0;for(var a=e,o=e.segment+1,s=0;s>-r/2;){if(--o<0)return!1;s-=t[o].dist(a),a=t[o]}s+=t[o].dist(t[o+1]),o++;for(var l=[],c=0;s<r/2;){var u=t[o-1],f=t[o],h=t[o+1];if(!h)return!1;var p=u.angleTo(f)-f.angleTo(h);for(p=Math.abs((p+3*Math.PI)%(2*Math.PI)-Math.PI),l.push({distance:s,angleDelta:p}),c+=p;s-l[0].distance>n;)c-=l.shift().angleDelta;if(c>i)return!1;o++,s+=f.dist(h)}return!0}function Jl(t){for(var e=0,r=0;r<t.length-1;r++)e+=t[r].dist(t[r+1]);return e}function Kl(t,e,r){return t?.6*e*r:0}function Ql(t,e){return Math.max(t?t.right-t.left:0,e?e.right-e.left:0)}function $l(t,e,r,n,i,a){for(var o=Kl(r,i,a),s=Ql(r,n)*a,l=0,c=Jl(t)/2,u=0;u<t.length-1;u++){var f=t[u],h=t[u+1],p=f.dist(h);if(l+p>c){var d=(c-l)/p,m=qe(f.x,h.x,d),g=qe(f.y,h.y,d),v=new ql(m,g,h.angleTo(f),u);return v._round(),!o||Xl(t,v,s,o,e)?v:void 0}l+=p}}function tc(t,e,r,n,i,a,o,s,l){var c=Kl(n,a,o),u=Ql(n,i),f=u*o,h=0===t[0].x||t[0].x===l||0===t[0].y||t[0].y===l;return e-f<e/4&&(e=f+e/4),function t(e,r,n,i,a,o,s,l,c){for(var u=o/2,f=Jl(e),h=0,p=r-n,d=[],m=0;m<e.length-1;m++){for(var g=e[m],v=e[m+1],y=g.dist(v),x=v.angleTo(g);p+n<h+y;){var b=((p+=n)-h)/y,_=qe(g.x,v.x,b),w=qe(g.y,v.y,b);if(_>=0&&_<c&&w>=0&&w<c&&p-u>=0&&p+u<=f){var T=new ql(_,w,x,m);T._round(),i&&!Xl(e,T,o,i,a)||d.push(T)}}h+=y}l||d.length||s||(d=t(e,h/2,n,i,a,o,s,!0,c));return d}(t,h?e/2*s%e:(u/2+2*a)*o*s%e,e,c,r,f,h,!1,l)}function ec(t,e,r,n,a){for(var o=[],s=0;s<t.length;s++)for(var l=t[s],c=void 0,u=0;u<l.length-1;u++){var f=l[u],h=l[u+1];f.x<e&&h.x<e||(f.x<e?f=new i(e,f.y+(h.y-f.y)*((e-f.x)/(h.x-f.x)))._round():h.x<e&&(h=new i(e,f.y+(h.y-f.y)*((e-f.x)/(h.x-f.x)))._round()),f.y<r&&h.y<r||(f.y<r?f=new i(f.x+(h.x-f.x)*((r-f.y)/(h.y-f.y)),r)._round():h.y<r&&(h=new i(f.x+(h.x-f.x)*((r-f.y)/(h.y-f.y)),r)._round()),f.x>=n&&h.x>=n||(f.x>=n?f=new i(n,f.y+(h.y-f.y)*((n-f.x)/(h.x-f.x)))._round():h.x>=n&&(h=new i(n,f.y+(h.y-f.y)*((n-f.x)/(h.x-f.x)))._round()),f.y>=a&&h.y>=a||(f.y>=a?f=new i(f.x+(h.x-f.x)*((a-f.y)/(h.y-f.y)),a)._round():h.y>=a&&(h=new i(f.x+(h.x-f.x)*((a-f.y)/(h.y-f.y)),a)._round()),c&&f.equals(c[c.length-1])||(c=[f],o.push(c)),c.push(h)))))}return o}function rc(t,e,r,n){var a=[],o=t.image,s=o.pixelRatio,l=o.paddedRect.w-2,c=o.paddedRect.h-2,u=t.right-t.left,f=t.bottom-t.top,h=o.stretchX||[[0,l]],p=o.stretchY||[[0,c]],d=function(t,e){return t+e[1]-e[0]},m=h.reduce(d,0),g=p.reduce(d,0),v=l-m,y=c-g,x=0,b=m,_=0,w=g,T=0,k=v,A=0,M=y;if(o.content&&n){var S=o.content;x=nc(h,0,S[0]),_=nc(p,0,S[1]),b=nc(h,S[0],S[2]),w=nc(p,S[1],S[3]),T=S[0]-x,A=S[1]-_,k=S[2]-S[0]-b,M=S[3]-S[1]-w}var E=function(n,a,l,c){var h=ac(n.stretch-x,b,u,t.left),p=oc(n.fixed-T,k,n.stretch,m),d=ac(a.stretch-_,w,f,t.top),v=oc(a.fixed-A,M,a.stretch,g),y=ac(l.stretch-x,b,u,t.left),S=oc(l.fixed-T,k,l.stretch,m),E=ac(c.stretch-_,w,f,t.top),L=oc(c.fixed-A,M,c.stretch,g),C=new i(h,d),P=new i(y,d),I=new i(y,E),O=new i(h,E),z=new i(p/s,v/s),D=new i(S/s,L/s),R=e*Math.PI/180;if(R){var F=Math.sin(R),B=Math.cos(R),N=[B,-F,F,B];C._matMult(N),P._matMult(N),O._matMult(N),I._matMult(N)}var j=n.stretch+n.fixed,U=l.stretch+l.fixed,V=a.stretch+a.fixed,H=c.stretch+c.fixed;return{tl:C,tr:P,bl:O,br:I,tex:{x:o.paddedRect.x+1+j,y:o.paddedRect.y+1+V,w:U-j,h:H-V},writingMode:void 0,glyphOffset:[0,0],sectionIndex:0,pixelOffsetTL:z,pixelOffsetBR:D,minFontScaleX:k/s/u,minFontScaleY:M/s/f,isSDF:r}};if(n&&(o.stretchX||o.stretchY))for(var L=ic(h,v,m),C=ic(p,y,g),P=0;P<L.length-1;P++)for(var I=L[P],O=L[P+1],z=0;z<C.length-1;z++){var D=C[z],R=C[z+1];a.push(E(I,D,O,R))}else a.push(E({fixed:0,stretch:-1},{fixed:0,stretch:-1},{fixed:0,stretch:l+1},{fixed:0,stretch:c+1}));return a}function nc(t,e,r){for(var n=0,i=0,a=t;i<a.length;i+=1){var o=a[i];n+=Math.max(e,Math.min(r,o[1]))-Math.max(e,Math.min(r,o[0]))}return n}function ic(t,e,r){for(var n=[{fixed:-1,stretch:0}],i=0,a=t;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],c=n[n.length-1];n.push({fixed:s-c.stretch,stretch:c.stretch}),n.push({fixed:s-c.stretch,stretch:c.stretch+(l-s)})}return n.push({fixed:e+1,stretch:r}),n}function ac(t,e,r,n){return t/e*r+n}function oc(t,e,r,n){return t-e*r/n}var sc=function(t,e,r,n,a,o,s,l,c,u){if(this.boxStartIndex=t.length,c){var f=o.top,h=o.bottom,p=o.collisionPadding;p&&(f-=p[1],h+=p[3]);var d=h-f;d>0&&(d=Math.max(10,d),this.circleDiameter=d)}else{var m=o.top*s-l,g=o.bottom*s+l,v=o.left*s-l,y=o.right*s+l,x=o.collisionPadding;if(x&&(v-=x[0]*s,m-=x[1]*s,y+=x[2]*s,g+=x[3]*s),u){var b=new i(v,m),_=new i(y,m),w=new i(v,g),T=new i(y,g),k=u*Math.PI/180;b._rotate(k),_._rotate(k),w._rotate(k),T._rotate(k),v=Math.min(b.x,_.x,w.x,T.x),y=Math.max(b.x,_.x,w.x,T.x),m=Math.min(b.y,_.y,w.y,T.y),g=Math.max(b.y,_.y,w.y,T.y)}t.emplaceBack(e.x,e.y,v,m,y,g,r,n,a)}this.boxEndIndex=t.length},lc=function(t,e){if(void 0===t&&(t=[]),void 0===e&&(e=cc),this.data=t,this.length=this.data.length,this.compare=e,this.length>0)for(var r=(this.length>>1)-1;r>=0;r--)this._down(r)};function cc(t,e){return t<e?-1:t>e?1:0}function uc(t,e,r){void 0===e&&(e=1),void 0===r&&(r=!1);for(var n=1/0,a=1/0,o=-1/0,s=-1/0,l=t[0],c=0;c<l.length;c++){var u=l[c];(!c||u.x<n)&&(n=u.x),(!c||u.y<a)&&(a=u.y),(!c||u.x>o)&&(o=u.x),(!c||u.y>s)&&(s=u.y)}var f=o-n,h=s-a,p=Math.min(f,h),d=p/2,m=new lc([],fc);if(0===p)return new i(n,a);for(var g=n;g<o;g+=p)for(var v=a;v<s;v+=p)m.push(new hc(g+d,v+d,d,t));for(var y=function(t){for(var e=0,r=0,n=0,i=t[0],a=0,o=i.length,s=o-1;a<o;s=a++){var l=i[a],c=i[s],u=l.x*c.y-c.x*l.y;r+=(l.x+c.x)*u,n+=(l.y+c.y)*u,e+=3*u}return new hc(r/e,n/e,0,t)}(t),x=m.length;m.length;){var b=m.pop();(b.d>y.d||!y.d)&&(y=b,r&&console.log("found best %d after %d probes",Math.round(1e4*b.d)/1e4,x)),b.max-y.d<=e||(d=b.h/2,m.push(new hc(b.p.x-d,b.p.y-d,d,t)),m.push(new hc(b.p.x+d,b.p.y-d,d,t)),m.push(new hc(b.p.x-d,b.p.y+d,d,t)),m.push(new hc(b.p.x+d,b.p.y+d,d,t)),x+=4)}return r&&(console.log("num probes: "+x),console.log("best distance: "+y.d)),y.p}function fc(t,e){return e.max-t.max}function hc(t,e,r,n){this.p=new i(t,e),this.h=r,this.d=function(t,e){for(var r=!1,n=1/0,i=0;i<e.length;i++)for(var a=e[i],o=0,s=a.length,l=s-1;o<s;l=o++){var c=a[o],u=a[l];c.y>t.y!=u.y>t.y&&t.x<(u.x-c.x)*(t.y-c.y)/(u.y-c.y)+c.x&&(r=!r),n=Math.min(n,ro(t,c,u))}return(r?1:-1)*Math.sqrt(n)}(this.p,n),this.max=this.d+this.h*Math.SQRT2}lc.prototype.push=function(t){this.data.push(t),this.length++,this._up(this.length-1)},lc.prototype.pop=function(){if(0!==this.length){var t=this.data[0],e=this.data.pop();return this.length--,this.length>0&&(this.data[0]=e,this._down(0)),t}},lc.prototype.peek=function(){return this.data[0]},lc.prototype._up=function(t){for(var e=this.data,r=this.compare,n=e[t];t>0;){var i=t-1>>1,a=e[i];if(r(n,a)>=0)break;e[t]=a,t=i}e[t]=n},lc.prototype._down=function(t){for(var e=this.data,r=this.compare,n=this.length>>1,i=e[t];t<n;){var a=1+(t<<1),o=e[a],s=a+1;if(s<this.length&&r(e[s],o)<0&&(a=s,o=e[s]),r(o,i)>=0)break;e[t]=o,t=a}e[t]=i};var pc=Number.POSITIVE_INFINITY;function dc(t,e){return e[1]!==pc?function(t,e,r){var n=0,i=0;switch(e=Math.abs(e),r=Math.abs(r),t){case"top-right":case"top-left":case"top":i=r-7;break;case"bottom-right":case"bottom-left":case"bottom":i=7-r}switch(t){case"top-right":case"bottom-right":case"right":n=-e;break;case"top-left":case"bottom-left":case"left":n=e}return[n,i]}(t,e[0],e[1]):function(t,e){var r=0,n=0;e<0&&(e=0);var i=e/Math.sqrt(2);switch(t){case"top-right":case"top-left":n=i-7;break;case"bottom-right":case"bottom-left":n=7-i;break;case"bottom":n=7-e;break;case"top":n=e-7}switch(t){case"top-right":case"bottom-right":r=-i;break;case"top-left":case"bottom-left":r=i;break;case"left":r=e;break;case"right":r=-e}return[r,n]}(t,e[0])}function mc(t){switch(t){case"right":case"top-right":case"bottom-right":return"right";case"left":case"top-left":case"bottom-left":return"left"}return"center"}function gc(t,e,r,n,a,o,s,l,c,u,f,h,p,d,m){var g=function(t,e,r,n,a,o,s,l){for(var c=n.layout.get("text-rotate").evaluate(o,{})*Math.PI/180,u=[],f=0,h=e.positionedLines;f<h.length;f+=1)for(var p=h[f],d=0,m=p.positionedGlyphs;d<m.length;d+=1){var g=m[d];if(g.rect){var v=g.rect||{},y=4,x=!0,b=1,_=0,w=(a||l)&&g.vertical,T=g.metrics.advance*g.scale/2;if(l&&e.verticalizable){var k=24*(g.scale-1),A=(24-g.metrics.width*g.scale)/2;_=p.lineOffset/2-(g.imageName?-A:k)}if(g.imageName){var M=s[g.imageName];x=M.sdf,y=1/(b=M.pixelRatio)}var S=a?[g.x+T,g.y]:[0,0],E=a?[0,0]:[g.x+T+r[0],g.y+r[1]-_],L=[0,0];w&&(L=E,E=[0,0]);var C=(g.metrics.left-y)*g.scale-T+E[0],P=(-g.metrics.top-y)*g.scale+E[1],I=C+v.w*g.scale/b,O=P+v.h*g.scale/b,z=new i(C,P),D=new i(I,P),R=new i(C,O),F=new i(I,O);if(w){var B=new i(-T,T- -17),N=-Math.PI/2,j=12-T,U=g.imageName?j:0,V=new i(22-j,-U),H=new(Function.prototype.bind.apply(i,[null].concat(L)));z._rotateAround(N,B)._add(V)._add(H),D._rotateAround(N,B)._add(V)._add(H),R._rotateAround(N,B)._add(V)._add(H),F._rotateAround(N,B)._add(V)._add(H)}if(c){var q=Math.sin(c),G=Math.cos(c),Y=[G,-q,q,G];z._matMult(Y),D._matMult(Y),R._matMult(Y),F._matMult(Y)}var W=new i(0,0),Z=new i(0,0);u.push({tl:z,tr:D,bl:R,br:F,tex:v,writingMode:e.writingMode,glyphOffset:S,sectionIndex:g.sectionIndex,isSDF:x,pixelOffsetTL:W,pixelOffsetBR:Z,minFontScaleX:0,minFontScaleY:0})}}return u}(0,r,l,a,o,s,n,t.allowVerticalPlacement),v=t.textSizeData,y=null;"source"===v.kind?(y=[128*a.layout.get("text-size").evaluate(s,{})])[0]>32640&&_(t.layerIds[0]+': Value for "text-size" is >= 255. Reduce your "text-size".'):"composite"===v.kind&&((y=[128*d.compositeTextSizes[0].evaluate(s,{},m),128*d.compositeTextSizes[1].evaluate(s,{},m)])[0]>32640||y[1]>32640)&&_(t.layerIds[0]+': Value for "text-size" is >= 255. Reduce your "text-size".'),t.addSymbols(t.text,g,y,l,o,s,u,e,c.lineStartIndex,c.lineLength,p,m);for(var x=0,b=f;x<b.length;x+=1){h[b[x]]=t.text.placedSymbolArray.length-1}return 4*g.length}function vc(t){for(var e in t)return t[e];return null}function yc(t,e,r,n){var i=t.compareText;if(e in i){for(var a=i[e],o=a.length-1;o>=0;o--)if(n.dist(a[o])<r)return!0}else i[e]=[];return i[e].push(n),!1}var xc=Ls.VectorTileFeature.types,bc=[{name:"a_fade_opacity",components:1,type:"Uint8",offset:0}];function _c(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=s?Math.min(32640,Math.round(s[0])):0,d=s?Math.min(32640,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*c,16*u,256*f,256*h)}function wc(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}function Tc(t){for(var e=0,r=t.sections;e<r.length;e+=1){if($n(r[e].text))return!0}return!1}var kc=function(t){this.layoutVertexArray=new Ni,this.indexArray=new Yi,this.programConfigurations=t,this.segments=new pa,this.dynamicLayoutVertexArray=new ji,this.opacityVertexArray=new Ui,this.placedSymbolArray=new aa};kc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},kc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Js.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Ks.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,bc,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},kc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},Nn("SymbolBuffers",kc);var Ac=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new pa,this.collisionVertexArray=new Gi};Ac.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,Qs.members,!0)},Ac.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},Nn("CollisionBuffers",Ac);var Mc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=ho([]),this.placementViewportMatrix=ho([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Gl(this.zoom,e["text-size"]),this.iconSizeData=Gl(this.zoom,e["icon-size"]);var r=this.layers[0].layout,n=r.get("symbol-sort-key"),i=r.get("symbol-z-order");this.sortFeaturesByKey="viewport-y"!==i&&void 0!==n.constantOr(1);var a="viewport-y"===i||"auto"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&(r.get("text-allow-overlap")||r.get("icon-allow-overlap")||r.get("text-ignore-placement")||r.get("icon-ignore-placement")),"point"===r.get("symbol-placement")&&(this.writingModes=r.get("text-writing-mode").map((function(t){return Cl[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};Mc.prototype.createArrays=function(){this.text=new kc(new Ua(Js.members,this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new kc(new Ua(Js.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new la,this.lineVertexArray=new ca,this.symbolInstances=new sa},Mc.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=rl[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},Mc.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get("text-font"),o=i.get("text-field"),s=i.get("icon-image"),l=("constant"!==o.value.kind||o.value.value instanceof ne&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&("constant"!==a.value.kind||a.value.value.length>0),c="constant"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,u=i.get("symbol-sort-key");if(this.features=[],l||c){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new pi(this.zoom),m=0,g=t;m<g.length;m+=1){var v=g[m],y=v.feature,x=v.id,b=v.index,_=v.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:y.type,id:x,properties:y.properties,geometry:w?Ya(y):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=Ya(y));var k=void 0;if(l){var A=n.getValueAndResolveTokens("text-field",T,r,p),M=ne.factory(A);Tc(M)&&(this.hasRTLText=!0),(!this.hasRTLText||"unavailable"===ui()||this.hasRTLText&&hi.isParsed())&&(k=el(M,n,T))}var S=void 0;if(c){var E=n.getValueAndResolveTokens("icon-image",T,r,p);S=E instanceof ie?E:ie.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?u.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:Ya(y),properties:y.properties,type:xc[y.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var P=a.evaluate(T,{},r).join(","),I="map"===i.get("text-rotation-alignment")&&"point"!==i.get("symbol-placement");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(Cl.vertical)>=0;for(var O=0,z=k.sections;O<z.length;O+=1){var D=z[O];if(D.image)f[D.image.name]=!0;else{var R=Wn(k.toString()),F=D.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(D.text,B,I,this.allowVerticalPlacement,R)}}}}}}"line"===i.get("symbol-placement")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+":"+n.x+":"+n.y}for(var c=0;c<t.length;c++){var u=t[c],f=u.geometry,h=u.text?u.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var m=s(p,d,f),g=o(p,d,n[m].geometry);delete e[p],delete r[d],r[l(h,n[g].geometry,!0)]=g,n[m].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(c),e[p]=i-1,r[d]=i-1)}else a(c)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},Mc.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},Mc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},Mc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},Mc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},Mc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},Mc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},Mc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=a[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},Mc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,c,u,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,a.sortKey),m=this.glyphOffsetArray.length,g=d.vertexLength,v=this.allowVerticalPlacement&&o===Cl.vertical?Math.PI/2:0,y=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,A=b.tex,M=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,P=b.isSDF,I=b.sectionIndex,O=d.vertexLength,z=C[1];_c(p,s.x,s.y,_.x,z+_.y,A.x,A.y,r,P,M.x,M.y,E,L),_c(p,s.x,s.y,w.x,z+w.y,A.x+A.w,A.y,r,P,S.x,M.y,E,L),_c(p,s.x,s.y,T.x,z+T.y,A.x,A.y+A.h,r,P,M.x,S.y,E,L),_c(p,s.x,s.y,k.x,z+k.y,A.x+A.w,A.y+A.h,r,P,S.x,S.y,E,L),wc(t.dynamicLayoutVertexArray,s,v),h.emplaceBack(O,O+1,O+2),h.emplaceBack(O+1,O+2,O+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&I===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,y&&y[I])}t.placedSymbolArray.emplaceBack(s.x,s.y,m,this.glyphOffsetArray.length-m,g,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,u)},Mc.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},Mc.prototype.addCollisionDebugVertices=function(t,e,r,n,a,o,s){var l=a.segments.prepareSegment(4,a.layoutVertexArray,a.indexArray),c=l.vertexLength,u=a.layoutVertexArray,f=a.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(u,f,o,h,p,new i(t,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,n)),this._addCollisionDebugVertex(u,f,o,h,p,new i(t,n)),l.vertexLength+=4;var d=a.indexArray;d.emplaceBack(c,c+1),d.emplaceBack(c+1,c+2),d.emplaceBack(c+2,c+3),d.emplaceBack(c+3,c),l.primitiveLength+=4},Mc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,c=a.y2;this.addCollisionDebugVertices(o,s,l,c,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},Mc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new Ac(Hi,$s.members,Qi),this.iconCollisionBox=new Ac(Hi,$s.members,Qi);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},Mc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var c={},u=e;u<r;u++){var f=t.get(u);c.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},c.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);c.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},c.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var m=t.get(d);c.iconBox={x1:m.x1,y1:m.y1,x2:m.x2,y2:m.y2,anchorPointX:m.anchorPointX,anchorPointY:m.anchorPointY},c.iconFeatureIndex=m.featureIndex;break}for(var g=s;g<l;g++){var v=t.get(g);c.verticalIconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},c.verticalIconFeatureIndex=v.featureIndex;break}return c},Mc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},Mc.prototype.hasTextData=function(){return this.text.segments.get().length>0},Mc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Mc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},Mc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},Mc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},Mc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},Mc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},Mc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},Mc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},Nn("SymbolBucket",Mc,{omit:["layers","collisionBoxArray","features","compareText"]}),Mc.MAX_GLYPHS=65535,Mc.addDynamicAttributes=wc;var Sc=new Si({"symbol-placement":new wi(Lt.layout_symbol["symbol-placement"]),"symbol-spacing":new wi(Lt.layout_symbol["symbol-spacing"]),"symbol-avoid-edges":new wi(Lt.layout_symbol["symbol-avoid-edges"]),"symbol-sort-key":new Ti(Lt.layout_symbol["symbol-sort-key"]),"symbol-z-order":new wi(Lt.layout_symbol["symbol-z-order"]),"icon-allow-overlap":new wi(Lt.layout_symbol["icon-allow-overlap"]),"icon-ignore-placement":new wi(Lt.layout_symbol["icon-ignore-placement"]),"icon-optional":new wi(Lt.layout_symbol["icon-optional"]),"icon-rotation-alignment":new wi(Lt.layout_symbol["icon-rotation-alignment"]),"icon-size":new Ti(Lt.layout_symbol["icon-size"]),"icon-text-fit":new wi(Lt.layout_symbol["icon-text-fit"]),"icon-text-fit-padding":new wi(Lt.layout_symbol["icon-text-fit-padding"]),"icon-image":new Ti(Lt.layout_symbol["icon-image"]),"icon-rotate":new Ti(Lt.layout_symbol["icon-rotate"]),"icon-padding":new wi(Lt.layout_symbol["icon-padding"]),"icon-keep-upright":new wi(Lt.layout_symbol["icon-keep-upright"]),"icon-offset":new Ti(Lt.layout_symbol["icon-offset"]),"icon-anchor":new Ti(Lt.layout_symbol["icon-anchor"]),"icon-pitch-alignment":new wi(Lt.layout_symbol["icon-pitch-alignment"]),"text-pitch-alignment":new wi(Lt.layout_symbol["text-pitch-alignment"]),"text-rotation-alignment":new wi(Lt.layout_symbol["text-rotation-alignment"]),"text-field":new Ti(Lt.layout_symbol["text-field"]),"text-font":new Ti(Lt.layout_symbol["text-font"]),"text-size":new Ti(Lt.layout_symbol["text-size"]),"text-max-width":new Ti(Lt.layout_symbol["text-max-width"]),"text-line-height":new wi(Lt.layout_symbol["text-line-height"]),"text-letter-spacing":new Ti(Lt.layout_symbol["text-letter-spacing"]),"text-justify":new Ti(Lt.layout_symbol["text-justify"]),"text-radial-offset":new Ti(Lt.layout_symbol["text-radial-offset"]),"text-variable-anchor":new wi(Lt.layout_symbol["text-variable-anchor"]),"text-anchor":new Ti(Lt.layout_symbol["text-anchor"]),"text-max-angle":new wi(Lt.layout_symbol["text-max-angle"]),"text-writing-mode":new wi(Lt.layout_symbol["text-writing-mode"]),"text-rotate":new Ti(Lt.layout_symbol["text-rotate"]),"text-padding":new wi(Lt.layout_symbol["text-padding"]),"text-keep-upright":new wi(Lt.layout_symbol["text-keep-upright"]),"text-transform":new Ti(Lt.layout_symbol["text-transform"]),"text-offset":new Ti(Lt.layout_symbol["text-offset"]),"text-allow-overlap":new wi(Lt.layout_symbol["text-allow-overlap"]),"text-ignore-placement":new wi(Lt.layout_symbol["text-ignore-placement"]),"text-optional":new wi(Lt.layout_symbol["text-optional"])}),Ec={paint:new Si({"icon-opacity":new Ti(Lt.paint_symbol["icon-opacity"]),"icon-color":new Ti(Lt.paint_symbol["icon-color"]),"icon-halo-color":new Ti(Lt.paint_symbol["icon-halo-color"]),"icon-halo-width":new Ti(Lt.paint_symbol["icon-halo-width"]),"icon-halo-blur":new Ti(Lt.paint_symbol["icon-halo-blur"]),"icon-translate":new wi(Lt.paint_symbol["icon-translate"]),"icon-translate-anchor":new wi(Lt.paint_symbol["icon-translate-anchor"]),"text-opacity":new Ti(Lt.paint_symbol["text-opacity"]),"text-color":new Ti(Lt.paint_symbol["text-color"],{runtimeType:Ut,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),"text-halo-color":new Ti(Lt.paint_symbol["text-halo-color"]),"text-halo-width":new Ti(Lt.paint_symbol["text-halo-width"]),"text-halo-blur":new Ti(Lt.paint_symbol["text-halo-blur"]),"text-translate":new wi(Lt.paint_symbol["text-translate"]),"text-translate-anchor":new wi(Lt.paint_symbol["text-translate-anchor"])}),layout:Sc},Lc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Ft,this.defaultValue=t};Lc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},Lc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},Lc.prototype.outputDefined=function(){return!1},Lc.prototype.serialize=function(){return null},Nn("FormatSectionOverride",Lc,{omit:["defaultValue"]});var Cc=function(t){function e(e){t.call(this,e,Ec)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),"auto"===this.layout.get("icon-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["icon-rotation-alignment"]="map":this.layout._values["icon-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["text-rotation-alignment"]="map":this.layout._values["text-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-pitch-alignment")&&(this.layout._values["text-pitch-alignment"]=this.layout.get("text-rotation-alignment")),"auto"===this.layout.get("icon-pitch-alignment")&&(this.layout._values["icon-pitch-alignment"]=this.layout.get("icon-rotation-alignment")),"point"===this.layout.get("symbol-placement")){var n=this.layout.get("text-writing-mode");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values["text-writing-mode"]=i}else this.layout._values["text-writing-mode"]=["horizontal"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||Yr(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):""}))}(e.properties,i)},e.prototype.createBucket=function(t){return new Mc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=Ec.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i=this.paint.get(n),a=new Lc(i),o=new Gr(a,i.property.specification),s=null;s="constant"===i.value.kind||"source"===i.value.kind?new Zr("source",o):new Xr("composite",o,i.value.zoomStops,i.value._interpolationType),this.paint._values[n]=new bi(i.property,s,i.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get("text-field"),n=Ec.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if("constant"===r.value.kind&&r.value.value instanceof ne)a(r.value.value.sections);else if("source"===r.value.kind){var o=function(t){if(!i)if(t instanceof ce&&se(t.value)===Gt){var e=t.value;a(e.sections)}else t instanceof pe?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Ei),Pc={paint:new Si({"background-color":new wi(Lt.paint_background["background-color"]),"background-pattern":new Ai(Lt.paint_background["background-pattern"]),"background-opacity":new wi(Lt.paint_background["background-opacity"])})},Ic=function(t){function e(e){t.call(this,e,Pc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei),Oc={paint:new Si({"raster-opacity":new wi(Lt.paint_raster["raster-opacity"]),"raster-hue-rotate":new wi(Lt.paint_raster["raster-hue-rotate"]),"raster-brightness-min":new wi(Lt.paint_raster["raster-brightness-min"]),"raster-brightness-max":new wi(Lt.paint_raster["raster-brightness-max"]),"raster-saturation":new wi(Lt.paint_raster["raster-saturation"]),"raster-contrast":new wi(Lt.paint_raster["raster-contrast"]),"raster-resampling":new wi(Lt.paint_raster["raster-resampling"]),"raster-fade-duration":new wi(Lt.paint_raster["raster-fade-duration"])})},zc=function(t){function e(e){t.call(this,e,Oc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei);var Dc=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return"3d"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Ei),Rc={circle:_o,heatmap:Po,hillshade:Oo,fill:xs,"fill-extrusion":Fs,line:Zs,symbol:Cc,background:Ic,raster:zc};var Fc=self.HTMLImageElement,Bc=self.HTMLCanvasElement,Nc=self.HTMLVideoElement,jc=self.ImageData,Uc=self.ImageBitmap,Vc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Vc.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Vc.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Vc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Vc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Hc=function(t){var e=this;this._callback=t,this._triggered=!1,"undefined"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};Hc.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},Hc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var qc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},m(["receive","process"],this),this.invoker=new Hc(this.process),this.target.addEventListener("message",this.receive,!1),this.globalScope=k()?t:self};function Gc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}qc.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=S(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:Hn(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:"<cancel>",targetMapId:n,sourceMapId:a.mapId})}}},qc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if("<cancel>"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else k()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},qc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},qc.prototype.processTask=function(t,e){var r=this;if("<response>"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(qn(e.error)):n(null,qn(e.data)))}else{var i=!1,a=S(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:"<response>",sourceMapId:r.mapId,error:e?Hn(e):null,data:Hn(n,a)},a)}:function(t){i=!0},s=null,l=qn(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(".");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o)}else o(new Error("Could not find function "+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},qc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener("message",this.receive,!1)};var Yc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Yc.prototype.setNorthEast=function(t){return this._ne=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.setSouthWest=function(t){return this._sw=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Wc)e=t,r=t;else{if(!(t instanceof Yc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Yc.convert(a))}var o=t;return this.extend(Wc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Wc(e.lng,e.lat),this._ne=new Wc(r.lng,r.lat)),this},Yc.prototype.getCenter=function(){return new Wc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Yc.prototype.getSouthWest=function(){return this._sw},Yc.prototype.getNorthEast=function(){return this._ne},Yc.prototype.getNorthWest=function(){return new Wc(this.getWest(),this.getNorth())},Yc.prototype.getSouthEast=function(){return new Wc(this.getEast(),this.getSouth())},Yc.prototype.getWest=function(){return this._sw.lng},Yc.prototype.getSouth=function(){return this._sw.lat},Yc.prototype.getEast=function(){return this._ne.lng},Yc.prototype.getNorth=function(){return this._ne.lat},Yc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Yc.prototype.toString=function(){return"LngLatBounds("+this._sw.toString()+", "+this._ne.toString()+")"},Yc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Yc.prototype.contains=function(t){var e=Wc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Yc.convert=function(t){return!t||t instanceof Yc?t:new Yc(t)};var Wc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error("Invalid LngLat object: ("+t+", "+e+")");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error("Invalid LngLat latitude value: must be between -90 and 90")};Wc.prototype.wrap=function(){return new Wc(c(this.lng,-180,180),this.lat)},Wc.prototype.toArray=function(){return[this.lng,this.lat]},Wc.prototype.toString=function(){return"LngLat("+this.lng+", "+this.lat+")"},Wc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return 6371008.8*Math.acos(Math.min(i,1))},Wc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Yc(new Wc(this.lng-r,this.lat-e),new Wc(this.lng+r,this.lat+e))},Wc.convert=function(t){if(t instanceof Wc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Wc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&"object"==typeof t&&null!==t)return new Wc(Number("lng"in t?t.lng:t.lon),Number(t.lat));throw new Error("`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]")};var Zc=2*Math.PI*6371008.8;function Xc(t){return Zc*Math.cos(t*Math.PI/180)}function Jc(t){return(180+t)/360}function Kc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Qc(t,e){return t/Xc(e)}function $c(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var tu=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};tu.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Wc.convert(t);return new tu(Jc(r.lng),Kc(r.lat),Qc(e,r.lat))},tu.prototype.toLngLat=function(){return new Wc(360*this.x-180,$c(this.y))},tu.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Xc($c(e));var t,e},tu.prototype.meterInMercatorCoordinateUnits=function(){return 1/Zc*(t=$c(this.y),1/Math.cos(t*Math.PI/180));var t};var eu=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=iu(0,t,t,e,r)};eu.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},eu.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Gc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Gc(256*(r+1),256*(n+1),i),a[0]+","+a[1]+","+o[0]+","+o[1]),l=function(t,e,r){for(var n,i="",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace("{prefix}",(this.x%16).toString(16)+(this.y%16).toString(16)).replace("{z}",String(this.z)).replace("{x}",String(this.x)).replace("{y}",String("tms"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace("{quadkey}",l).replace("{bbox-epsg-3857}",s)},eu.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new i(8192*(t.x*e-this.x),8192*(t.y*e-this.y))},eu.prototype.toString=function(){return this.z+"/"+this.x+"/"+this.y};var ru=function(t,e){this.wrap=t,this.canonical=e,this.key=iu(t,e.z,e.z,e.x,e.y)},nu=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new eu(r,+n,+i),this.key=iu(e,t,r,n,i)};function iu(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}nu.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},nu.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new nu(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new nu(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},nu.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?iu(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):iu(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},nu.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},nu.prototype.children=function(t){if(this.overscaledZ>=t)return[new nu(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new nu(e,this.wrap,e,r,n),new nu(e,this.wrap,e,r+1,n),new nu(e,this.wrap,e,r,n+1),new nu(e,this.wrap,e,r+1,n+1)]},nu.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},nu.prototype.wrapped=function(){return new nu(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.unwrapTo=function(t){return new nu(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},nu.prototype.toUnwrapped=function(){return new ru(this.wrap,this.canonical)},nu.prototype.toString=function(){return this.overscaledZ+"/"+this.canonical.x+"/"+this.canonical.y},nu.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new tu(t.x-this.wrap,t.y))},Nn("CanonicalTileID",eu),Nn("OverscaledTileID",nu,{omit:["posMatrix"]});var au=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError("DEM tiles must be square");if(r&&"mapbox"!==r&&"terrarium"!==r)return _('"'+r+'" is not a valid encoding type. Valid types include "mapbox" and "terrarium".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||"mapbox";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};au.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return("terrarium"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},au.prototype.getUnpackVector=function(){return"terrarium"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},au.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError("out of range source coordinates for DEM data");return(e+1)*this.stride+(t+1)},au.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},au.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},au.prototype.getPixels=function(){return new Eo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},au.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error("dem dimension mismatch");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,c=a;c<o;c++)for(var u=n;u<i;u++)this.data[this._idx(u,c)]=t.data[this._idx(u+s,c+l)]},Nn("DEMData",au);var ou=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};ou.prototype.encode=function(t){return this._stringToNumber[t]},ou.prototype.decode=function(t){return this._numberToString[t]};var su=function(t,e,r,n,i){this.type="Feature",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},lu={geometry:{configurable:!0}};lu.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},lu.geometry.set=function(t){this._geometry=t},su.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)"_geometry"!==e&&"_vectorTileFeature"!==e&&(t[e]=this[e]);return t},Object.defineProperties(su.prototype,lu);var cu=function(){this.state={},this.stateChanges={},this.deletedStates={}};cu.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},u(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r){this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]}},cu.prototype.removeFeatureState=function(t,e,r){if(!(null===this.deletedStates[t])){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e){if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null}else this.deletedStates[t]=null}},cu.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=u({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},cu.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},cu.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),u(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var f=0,h=Object.keys(this.deletedStates[o][c]);f<h.length;f+=1){var p=h[f];delete this.state[o][c][p]}s[c]=this.state[o][c]}r[o]=r[o]||{},u(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t){t[d].setFeatureState(r,e)}};var uu=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new zn(8192,16,0),this.grid3D=new zn(8192,16,0),this.featureIndexArray=new fa,this.promoteId=e};function fu(t,e,r,n,i){return v(t,(function(t,a){var o=e instanceof _i?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function hu(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function pu(t,e){return e-t}uu.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],f=0;f<c.length;f++){var h=c[f];u[0]=Math.min(u[0],h.x),u[1]=Math.min(u[1],h.y),u[2]=Math.max(u[2],h.x),u[3]=Math.max(u[3],h.y)}u[0]<8192&&u[1]<8192&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},uu.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Ls.VectorTile(new al(this.rawTileData)).layers,this.sourceLayerCoder=new ou(this.vtLayers?Object.keys(this.vtLayers).sort():["_geojsonTileLayer"])),this.vtLayers},uu.prototype.query=function(t,e,r,n){var a=this;this.loadVTLayers();for(var o=t.params||{},s=8192/t.tileSize/t.scale,l=sn(o.filter),c=t.queryGeometry,u=t.queryPadding*s,f=hu(c),h=this.grid.query(f.minX-u,f.minY-u,f.maxX+u,f.maxY+u),p=hu(t.cameraQueryGeometry),d=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(function(e,r,n,a){return function(t,e,r,n,a){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&a>=l.y)return!0}var c=[new i(e,r),new i(e,a),new i(n,a),new i(n,r)];if(t.length>2)for(var u=0,f=c;u<f.length;u+=1){if(io(t,f[u]))return!0}for(var h=0;h<t.length-1;h++){if(ao(t[h],t[h+1],c))return!0}return!1}(t.cameraQueryGeometry,e-u,r-u,n+u,a+u)})),m=0,g=d;m<g.length;m+=1){var v=g[m];h.push(v)}h.sort(pu);for(var y,x={},b=function(i){var u=h[i];if(u!==y){y=u;var f=a.featureIndexArray.get(u),p=null;a.loadMatchingFeature(x,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=Ya(e)),r.queryIntersectsFeature(c,e,n,p,a.z,t.transform,s,t.pixelPosMatrix)}))}},_=0;_<h.length;_++)b(_);return x},uu.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,c,u){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new pi(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),m=0;m<f.length;m++){var g=f[m];if(!(a&&a.indexOf(g)<0)){var v=s[g];if(v){var y={};void 0!==d&&c&&(y=c.getState(v.sourceLayer||"_geojsonTileLayer",d));var x=l[g];x.paint=fu(x.paint,v.paint,p,y,o),x.layout=fu(x.layout,v.layout,p,y,o);var b=!u||u(p,v,y);if(b){var _=new su(p,this.z,this.x,this.y,d);_.layer=x;var w=t[g];void 0===w&&(w=t[g]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},uu.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var c=sn(i),u=0,f=t;u<f.length;u+=1){var h=f[u];this.loadMatchingFeature(l,r,n,h,c,a,o,s,e)}return l},uu.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1){if(t===i[n])return!0}return!1},uu.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n="string"==typeof this.promoteId?this.promoteId:this.promoteId[e];"boolean"==typeof(r=t.properties[n])&&(r=Number(r))}return r},Nn("FeatureIndex",uu,{omit:["rawTileData","sourceLayerCoder"]});var du=function(t,e){this.tileID=t,this.uid=h(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state="loading"};du.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<R.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},du.prototype.wasRequested=function(){return"errored"===this.state||"loaded"===this.state||"reloading"===this.state},du.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state="loaded",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof Mc){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof Mc&&o.hasRTLText){this.hasRTLText=!0,hi.isLoading()||hi.isLoaded()||"deferred"!==ui()||fi();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new na},du.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state="unloaded"},du.prototype.getBucket=function(t){return this.buckets[t.id]},du.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Vc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Vc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},du.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},du.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},du.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:"",a=n._geojsonTileLayer||n[i];if(a)for(var o=sn(e&&e.filter),s=this.tileID.canonical,l=s.z,c=s.x,u=s.y,f={z:l,x:c,y:u},h=0;h<a.length;h++){var p=a.feature(h);if(o.filter(new pi(this.tileID.overscaledZ),p)){var d=r.getId(p,i),m=new su(p,l,c,u,d);m.tile=f,t.push(m)}}}},du.prototype.hasData=function(){return"loaded"===this.state||"reloading"===this.state||"expired"===this.state},du.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},du.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=A(t.cacheControl);r["max-age"]&&(this.expirationTime=Date.now()+1e3*r["max-age"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state="expired"):this.expiredRequestCount=0}},du.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},du.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||"_geojsonTileLayer",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},du.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},du.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<R.now()},du.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},du.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=R.now()+t},du.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){r[i[n]]=!0}this.dependencies[t]=r},du.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1){if(a[s[o]])return!0}}return!1};var mu=self.performance,gu=function(t){this._marks={start:[t.url,"start"].join("#"),end:[t.url,"end"].join("#"),measure:t.url.toString()},mu.mark(this._marks.start)};gu.prototype.finish=function(){mu.mark(this._marks.end);var t=mu.getEntriesByName(this._marks.measure);return 0===t.length&&(mu.measure(this._marks.measure,this._marks.start,this._marks.end),t=mu.getEntriesByName(this._marks.measure),mu.clearMarks(this._marks.start),mu.clearMarks(this._marks.end),mu.clearMeasures(this._marks.measure)),t},t.Actor=qc,t.AlphaImage=So,t.CanonicalTileID=eu,t.CollisionBoxArray=na,t.Color=te,t.DEMData=au,t.DataConstantProperty=wi,t.DictionaryCoder=ou,t.EXTENT=8192,t.ErrorEvent=St,t.EvaluationParameters=pi,t.Event=Mt,t.Evented=Et,t.FeatureIndex=uu,t.FillBucket=gs,t.FillExtrusionBucket=Os,t.ImageAtlas=Ll,t.ImagePosition=Sl,t.LineBucket=qs,t.LngLat=Wc,t.LngLatBounds=Yc,t.MercatorCoordinate=tu,t.ONE_EM=24,t.OverscaledTileID=nu,t.Point=i,t.Point$1=i,t.Properties=Si,t.Protobuf=al,t.RGBAImage=Eo,t.RequestManager=H,t.RequestPerformance=gu,t.ResourceType=dt,t.SegmentVector=pa,t.SourceFeatureState=cu,t.StructArrayLayout1ui2=$i,t.StructArrayLayout2f1f2i16=qi,t.StructArrayLayout2i4=zi,t.StructArrayLayout3ui6=Yi,t.StructArrayLayout4i8=Di,t.SymbolBucket=Mc,t.Texture=Vc,t.Tile=du,t.Transitionable=gi,t.Uniform1f=Sa,t.Uniform1i=Ma,t.Uniform2f=Ea,t.Uniform3f=La,t.Uniform4f=Ca,t.UniformColor=Pa,t.UniformMatrix4f=Oa,t.UnwrappedTileID=ru,t.ValidationError=Ct,t.WritingMode=Cl,t.ZoomHistory=Gn,t.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},t.addDynamicAttributes=wc,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,i=new Array(t.length),a=null;t.forEach((function(t,o){e(t,(function(t,e){t&&(a=t),i[o]=e,0==--n&&r(a,i)}))}))},t.bezier=o,t.bindAll=m,t.browser=R,t.cacheEntryPossiblyAdded=function(t){++ht>ot&&(t.getActor().send("enforceCacheSizeLimit",at),ht=0)},t.clamp=l,t.clearTileCache=function(t){var e=self.caches.delete("mapbox-tiles");t&&e.catch(t).then((function(){return t()}))},t.clipLine=ec,t.clone=function(t){var e=new fo(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=x,t.clone$2=function(t){var e=new fo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=tl,t.config=F,t.create=function(){var t=new fo(16);return fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new fo(9);return fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},t.create$2=function(){var t=new fo(4);return fo!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=Wr,t.createLayout=Ii,t.createStyleLayer=function(t){return"custom"===t.type?new Dc(t):new Rc[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n<e.length;n++)if(!t(e[n],r[n]))return!1;return!0}if("object"==typeof e&&null!==e&&null!==r){if("object"!=typeof r)return!1;if(Object.keys(e).length!==Object.keys(r).length)return!1;for(var i in e)if(!t(e[i],r[i]))return!1;return!0}return e===r},t.dot=function(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]},t.dot$1=function(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]+t[3]*e[3]},t.ease=s,t.emitValidationErrors=On,t.endsWith=g,t.enforceCacheSizeLimit=function(t){st(),Q&&Q.then((function(e){e.keys().then((function(r){for(var n=0;n<r.length-t;n++)e.delete(r[n])}))}))},t.evaluateSizeForFeature=Yl,t.evaluateSizeForZoom=Wl,t.evaluateVariableOffset=dc,t.evented=ci,t.extend=u,t.featureFilter=sn,t.filterObject=y,t.fromRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=r,t[2]=0,t[3]=-r,t[4]=n,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},t.getAnchorAlignment=Ul,t.getAnchorJustification=mc,t.getArrayBuffer=xt,t.getImage=Tt,t.getJSON=function(t,e){return yt(u(t,{type:"json"}),e)},t.getRTLTextPluginStatus=ui,t.getReferrer=gt,t.getVideo=function(t,e){var r,n,i=self.document.createElement("video");i.muted=!0,i.onloadstart=function(){e(null,i)};for(var a=0;a<t.length;a++){var o=self.document.createElement("source");r=t[a],n=void 0,(n=self.document.createElement("a")).href=r,(n.protocol!==self.document.location.protocol||n.host!==self.document.location.host)&&(i.crossOrigin="Anonymous"),o.src=t[a],i.appendChild(o)}return{cancel:function(){}}},t.identity=ho,t.invert=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],f=e[9],h=e[10],p=e[11],d=e[12],m=e[13],g=e[14],v=e[15],y=r*s-n*o,x=r*l-i*o,b=r*c-a*o,_=n*l-i*s,w=n*c-a*s,T=i*c-a*l,k=u*m-f*d,A=u*g-h*d,M=u*v-p*d,S=f*g-h*m,E=f*v-p*m,L=h*v-p*g,C=y*L-x*E+b*S+_*M-w*A+T*k;return C?(C=1/C,t[0]=(s*L-l*E+c*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(m*T-g*w+v*_)*C,t[3]=(h*w-f*T-p*_)*C,t[4]=(l*M-o*L-c*A)*C,t[5]=(r*L-i*M+a*A)*C,t[6]=(g*b-d*T-v*x)*C,t[7]=(u*T-h*b+p*x)*C,t[8]=(o*E-s*M+c*k)*C,t[9]=(n*M-r*E-a*k)*C,t[10]=(d*w-m*b+v*y)*C,t[11]=(f*b-u*w-p*y)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(m*x-d*_-g*y)*C,t[15]=(u*_-f*x+h*y)*C,t):null},t.isChar=Yn,t.isMapboxURL=q,t.keysDifference=function(t,e){var r=[];for(var n in t)n in e||r.push(n);return r},t.makeRequest=yt,t.mapObject=v,t.mercatorXfromLng=Jc,t.mercatorYfromLat=Kc,t.mercatorZfromAltitude=Qc,t.mul=mo,t.multiply=po,t.mvt=Ls,t.normalize=function(t,e){var r=e[0],n=e[1],i=e[2],a=r*r+n*n+i*i;return a>0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t},t.number=qe,t.offscreenCanvasSupported=pt,t.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t},t.parseGlyphPBF=function(t){return new al(t).readFields(Tl,[])},t.pbf=al,t.performSymbolLayout=function(t,e,r,n,i,a,o){t.createArrays();var s=512*t.overscaling;t.tilePixelRatio=8192/s,t.compareText={},t.iconsNeedLinear=!1;var l=t.layers[0].layout,c=t.layers[0]._unevaluatedLayout._values,u={};if("composite"===t.textSizeData.kind){var f=t.textSizeData,h=f.minZoom,p=f.maxZoom;u.compositeTextSizes=[c["text-size"].possiblyEvaluate(new 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i,a=t[n],o=a.type;if("Point"===o||"MultiPoint"===o||"LineString"===o)i=mt(a.geometry,e);else if("MultiLineString"===o||"Polygon"===o){i=[];for(var s=0;s<a.geometry.length;s++)i.push(mt(a.geometry[s],e))}else if("MultiPolygon"===o)for(i=[],s=0;s<a.geometry.length;s++){for(var l=[],c=0;c<a.geometry[s].length;c++)l.push(mt(a.geometry[s][c],e));i.push(l)}r.push(Q(a.id,o,i,a.tags))}return r}function mt(t,e){var r=[];r.size=t.size,void 0!==t.start&&(r.start=t.start,r.end=t.end);for(var n=0;n<t.length;n+=3)r.push(t[n]+e,t[n+1],t[n+2]);return r}function gt(t,e){if(t.transformed)return t;var r,n,i,a=1<<t.z,o=t.x,s=t.y;for(r=0;r<t.features.length;r++){var l=t.features[r],c=l.geometry,u=l.type;if(l.geometry=[],1===u)for(n=0;n<c.length;n+=2)l.geometry.push(vt(c[n],c[n+1],e,a,o,s));else for(n=0;n<c.length;n++){var f=[];for(i=0;i<c[n].length;i+=2)f.push(vt(c[n][i],c[n][i+1],e,a,o,s));l.geometry.push(f)}}return t.transformed=!0,t}function vt(t,e,r,n,i,a){return[Math.round(r*(t*n-i)),Math.round(r*(e*n-a))]}function yt(t,e,r,n,i){for(var a=e===i.maxZoom?0:i.tolerance/((1<<e)*i.extent),o={features:[],numPoints:0,numSimplified:0,numFeatures:0,source:null,x:r,y:n,z:e,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0},s=0;s<t.length;s++){o.numFeatures++,xt(o,t[s],a,i);var l=t[s].minX,c=t[s].minY,u=t[s].maxX,f=t[s].maxY;l<o.minX&&(o.minX=l),c<o.minY&&(o.minY=c),u>o.maxX&&(o.maxX=u),f>o.maxY&&(o.maxY=f)}return o}function xt(t,e,r,n){var i=e.geometry,a=e.type,o=[];if("Point"===a||"MultiPoint"===a)for(var s=0;s<i.length;s+=3)o.push(i[s]),o.push(i[s+1]),t.numPoints++,t.numSimplified++;else if("LineString"===a)bt(o,i,t,r,!1,!1);else if("MultiLineString"===a||"Polygon"===a)for(s=0;s<i.length;s++)bt(o,i[s],t,r,"Polygon"===a,0===s);else if("MultiPolygon"===a)for(var l=0;l<i.length;l++){var c=i[l];for(s=0;s<c.length;s++)bt(o,c[s],t,r,!0,0===s)}if(o.length){var u=e.tags||null;if("LineString"===a&&n.lineMetrics){for(var f in u={},e.tags)u[f]=e.tags[f];u.mapbox_clip_start=i.start/i.size,u.mapbox_clip_end=i.end/i.size}var h={geometry:o,type:"Polygon"===a||"MultiPolygon"===a?3:"LineString"===a||"MultiLineString"===a?2:1,tags:u};null!==e.id&&(h.id=e.id),t.features.push(h)}}function bt(t,e,r,n,i,a){var o=n*n;if(n>0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n<i;a=n,n+=2)r+=(t[n]-t[a])*(t[n+1]+t[a+1]);if(r>0===e)for(n=0,i=t.length;n<i/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[i-2-n],t[n+1]=t[i-1-n],t[i-2-n]=o,t[i-1-n]=s}}(s,a),t.push(s)}}function _t(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time("preprocess data"),e.maxZoom<0||e.maxZoom>24)throw new Error("maxZoom should be in the 0-24 range");if(e.promoteId&&e.generateId)throw new Error("promoteId and generateId cannot be used together.");var n=function(t,e){var r=[];if("FeatureCollection"===t.type)for(var n=0;n<t.features.length;n++)tt(r,t.features[n],e,n);else"Feature"===t.type?tt(r,t,e):tt(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd("preprocess data"),console.log("index: maxZoom: %d, maxPoints: %d",e.indexMaxZoom,e.indexMaxPoints),console.time("generate tiles"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=ot(t,1,-1-r,r,0,-1,2,e),a=ot(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=ot(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=dt(i,1).concat(n)),a&&(n=n.concat(dt(a,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log("features: %d, points: %d",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd("generate tiles"),console.log("tiles generated:",this.total,JSON.stringify(this.stats)))}function wt(t,e,r){return 32*((1<<t)*r+e)+t}function Tt(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}U.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time("total time");var o="prepare "+t.length+" points";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(H(t[l],l));this.trees[i+1]=new N(s,X,J,a,Float32Array),r&&console.timeEnd(o);for(var c=i;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new N(s,X,J,a,Float32Array),r&&console.log("z%d: %d clusters in %dms",c,s.length,+Date.now()-u)}return r&&console.timeEnd("total time"),this},U.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,f=l.range(Y(r),W(a),Y(i),W(n));u<f.length;u+=1){var h=f[u],p=l.points[h];c.push(p.numPoints?q(p):this.points[p.index])}return c},U.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n="No cluster with the specified id.",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,c=i.within(a.x,a.y,o);l<c.length;l+=1){var u=c[l],f=i.points[u];f.parentId===t&&s.push(f.numPoints?q(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},U.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},U.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,c=(r+1+s)/i,u={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,c),n.points,e,r,i,u),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,c),n.points,i,r,i,u),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,c),n.points,-1,r,i,u),u.features.length?u:null},U.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},U.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},U.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c=l.numPoints,u={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:c?G(l):this.points[l.index].properties},f=void 0;c?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(u.id=f),a.features.push(u)}},U.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},U.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=i/(a*Math.pow(2,e)),l=0;l<t.length;l++){var c=t[l];if(!(c.zoom<=e)){c.zoom=e;for(var u=this.trees[e+1],f=u.within(c.x,c.y,s),h=c.numPoints||1,p=c.x*h,d=c.y*h,m=o&&h>1?this._map(c,!0):null,g=(l<<5)+(e+1)+this.points.length,v=0,y=f;v<y.length;v+=1){var x=y[v],b=u.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,h+=_,b.parentId=g,o&&(m||(m=this._map(c,!0)),o(m,this._map(b)))}}1===h?r.push(c):(c.parentId=g,r.push(V(p/h,d/h,g,h,m)))}}return r},U.prototype._getOriginId=function(t){return t-this.points.length>>5},U.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},U.prototype._map=function(t,e){if(t.numPoints)return e?Z({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?Z({},n):n},_t.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},_t.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,f=wt(e,r,n),h=this.tiles[f];if(!h&&(c>1&&console.time("creation"),h=this.tiles[f]=yt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log("tile z%d-%d-%d (features: %d, points: %d, simplified: %d)",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd("creation"));var p="z"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){c>1&&console.time("clipping");var m,g,v,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;m=g=v=y=null,x=ot(t,u,r-_,r+T,0,h.minX,h.maxX,l),b=ot(t,u,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(m=ot(x,u,n-_,n+T,1,h.minY,h.maxY,l),g=ot(x,u,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(v=ot(b,u,n-_,n+T,1,h.minY,h.maxY,l),y=ot(b,u,n+w,n+k,1,h.minY,h.maxY,l),b=null),c>1&&console.timeEnd("clipping"),s.push(m||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(v||[],e+1,2*r+1,2*n),s.push(y||[],e+1,2*r+1,2*n+1)}}},_t.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=wt(t,e=(e%o+o)%o,r);if(this.tiles[s])return gt(this.tiles[s],i);a>1&&console.log("drilling down to z%d-%d-%d",t,e,r);for(var l,c=t,u=e,f=r;!l&&c>0;)c--,u=Math.floor(u/2),f=Math.floor(f/2),l=this.tiles[wt(c,u,f)];return l&&l.source?(a>1&&console.log("found parent tile z%d-%d-%d",c,u,f),a>1&&console.time("drilling down"),this.splitTile(l.source,c,u,f,t,e,r),a>1&&console.timeEnd("drilling down"),this.tiles[s]?gt(this.tiles[s],i):null):null};var kt=function(e){function r(t,r,n,i){e.call(this,t,r,n,Tt),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&"Idle"!==this._state?this._state="NeedsLoadData":(this._state="Coalescing",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if("object"!=typeof o)return r(new Error("Input data given to '"+n.source+"' is not a valid GeoJSON object."));f(o,!0);try{e._geoJSONIndex=n.cluster?new U(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c<u.length;c+=1){var f=u[c],h=n[f],p=h[0],d=h[1],m=t.createExpression(d),g=t.createExpression("string"==typeof p?[p,["accumulated"],["get",f]]:p);i[f]=m.value,a[f]=g.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var a=n[r];e[a]=i[a].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new _t(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var s={};if(i){var l=i.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)}))}},r.prototype.coalesce=function(){"Coalescing"===this._state?this._state="Idle":"NeedsLoadData"===this._state&&(this._state="Coalescing",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if("string"!=typeof e.data)return r(new Error("Input data given to '"+e.source+"' is not a valid GeoJSON object."));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error("Input data given to '"+e.source+"' is not a valid GeoJSON object."))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l);var At=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:kt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name "'+t+'" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isParsed())throw new Error("RTL text plugin already registered.");t.plugin.applyArabicShaping=e.applyArabicShaping,t.plugin.processBidirectionalText=e.processBidirectionalText,t.plugin.processStyledBidirectionalText=e.processStyledBidirectionalText}};return At.prototype.setReferrer=function(t,e){this.referrer=e},At.prototype.setImages=function(t,e,r){for(var n in this.availableImages[t]=e,this.workerSources[t]){var i=this.workerSources[t][n];for(var a in i)i[a].availableImages=e}r()},At.prototype.setLayers=function(t,e,r){this.getLayerIndex(t).replace(e),r()},At.prototype.updateLayers=function(t,e,r){this.getLayerIndex(t).update(e.layers,e.removedIds),r()},At.prototype.loadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).loadTile(e,r)},At.prototype.loadDEMTile=function(t,e,r){this.getDEMWorkerSource(t,e.source).loadTile(e,r)},At.prototype.reloadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).reloadTile(e,r)},At.prototype.abortTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).abortTile(e,r)},At.prototype.removeTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).removeTile(e,r)},At.prototype.removeDEMTile=function(t,e){this.getDEMWorkerSource(t,e.source).removeTile(e)},At.prototype.removeSource=function(t,e,r){if(this.workerSources[t]&&this.workerSources[t][e.type]&&this.workerSources[t][e.type][e.source]){var n=this.workerSources[t][e.type][e.source];delete this.workerSources[t][e.type][e.source],void 0!==n.removeSource?n.removeSource(e,r):r()}},At.prototype.loadWorkerSource=function(t,e,r){try{this.self.importScripts(e.url),r()}catch(t){r(t.toString())}},At.prototype.syncRTLPluginState=function(e,r,n){try{t.plugin.setState(r);var i=t.plugin.getPluginURL();if(t.plugin.isLoaded()&&!t.plugin.isParsed()&&null!=i){this.self.importScripts(i);var a=t.plugin.isParsed();n(a?void 0:new Error("RTL Text Plugin failed to import scripts from "+i),a)}}catch(t){n(t.toString())}},At.prototype.getAvailableImages=function(t){var e=this.availableImages[t];return e||(e=[]),e},At.prototype.getLayerIndex=function(t){var e=this.layerIndexes[t];return e||(e=this.layerIndexes[t]=new n),e},At.prototype.getWorkerSource=function(t,e,r){var n=this;if(this.workerSources[t]||(this.workerSources[t]={}),this.workerSources[t][e]||(this.workerSources[t][e]={}),!this.workerSources[t][e][r]){var i={send:function(e,r,i){n.actor.send(e,r,i,t)}};this.workerSources[t][e][r]=new this.workerSourceTypes[e](i,this.getLayerIndex(t),this.getAvailableImages(t))}return this.workerSources[t][e][r]},At.prototype.getDEMWorkerSource=function(t,e){return this.demWorkerSources[t]||(this.demWorkerSources[t]={}),this.demWorkerSources[t][e]||(this.demWorkerSources[t][e]=new u),this.demWorkerSources[t][e]},At.prototype.enforceCacheSizeLimit=function(e,r){t.enforceCacheSizeLimit(r)},"undefined"!=typeof WorkerGlobalScope&&void 0!==t.window&&t.window instanceof WorkerGlobalScope&&(t.window.worker=new At(t.window)),At})),n(0,(function(t){var e=t.createCommonjsModule((function(t){function e(t){return!r(t)}function r(t){return"undefined"==typeof window||"undefined"==typeof document?"not a 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e=t.getContext("2d");if(!e)return!1;var r=e.getImageData(0,0,1,1);return r&&r.width===t.width}()?function(t){void 0===n[t]&&(n[t]=function(t){var r=function(t){var r=document.createElement("canvas"),n=Object.create(e.webGLContextAttributes);return n.failIfMajorPerformanceCaveat=t,r.probablySupportsContext?r.probablySupportsContext("webgl",n)||r.probablySupportsContext("experimental-webgl",n):r.supportsContext?r.supportsContext("webgl",n)||r.supportsContext("experimental-webgl",n):r.getContext("webgl",n)||r.getContext("experimental-webgl",n)}(t);if(!r)return!1;var n=r.createShader(r.VERTEX_SHADER);if(!n||r.isContextLost())return!1;return r.shaderSource(n,"void main() {}"),r.compileShader(n),!0===r.getShaderParameter(n,r.COMPILE_STATUS)}(t));return n[t]}(t&&t.failIfMajorPerformanceCaveat)?void 0:"insufficient WebGL support":"insufficient Canvas/getImageData support":"insufficient ArrayBuffer support":"insufficient Uint8ClampedArray support":"insufficient worker support":"insufficient JSON support":"insufficient Object support":"insufficient Function support":"insufficent Array support"}t.exports?t.exports=e:window&&(window.mapboxgl=window.mapboxgl||{},window.mapboxgl.supported=e,window.mapboxgl.notSupportedReason=r);var n={};e.webGLContextAttributes={antialias:!1,alpha:!0,stencil:!0,depth:!0}})),r={create:function(e,r,n){var i=t.window.document.createElement(e);return void 0!==r&&(i.className=r),n&&n.appendChild(i),i},createNS:function(e,r){return t.window.document.createElementNS(e,r)}},n=t.window.document.documentElement.style;function i(t){if(!n)return t[0];for(var e=0;e<t.length;e++)if(t[e]in n)return t[e];return t[0]}var a,o=i(["userSelect","MozUserSelect","WebkitUserSelect","msUserSelect"]);r.disableDrag=function(){n&&o&&(a=n[o],n[o]="none")},r.enableDrag=function(){n&&o&&(n[o]=a)};var s=i(["transform","WebkitTransform"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var c=Object.defineProperty({},"passive",{get:function(){l=!0}});t.window.addEventListener("test",c,c),t.window.removeEventListener("test",c,c)}catch(t){l=!1}r.addEventListener=function(t,e,r,n){void 0===n&&(n={}),"passive"in n&&l?t.addEventListener(e,r,n):t.addEventListener(e,r,n.capture)},r.removeEventListener=function(t,e,r,n){void 0===n&&(n={}),"passive"in n&&l?t.removeEventListener(e,r,n):t.removeEventListener(e,r,n.capture)};var u=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener("click",u,!0)};function f(t){var e=t.userImage;if(e&&e.render&&e.render())return t.data.replace(new Uint8Array(e.data.buffer)),!0;return!1}r.suppressClick=function(){t.window.addEventListener("click",u,!0),t.window.setTimeout((function(){t.window.removeEventListener("click",u,!0)}),0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect();return new t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var 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this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image "'+e+'" has invalid "stretchX" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image "'+e+'" has invalid "stretchY" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image "'+e+'" has invalid "content" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];if(a[0]<r||a[1]<a[0]||e<a[1])return!1;r=a[1]}return!0},r.prototype._validateContent=function(t,e){return!t||4===t.length&&(!(t[0]<0||e.data.width<t[0])&&(!(t[1]<0||e.data.height<t[1])&&(!(t[2]<0||e.data.width<t[2])&&(!(t[3]<0||e.data.height<t[3])&&(!(t[2]<t[0])&&!(t[3]<t[1]))))))},r.prototype.updateImage=function(t,e){var r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.images[a]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event("styleimagemissing",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image "'+o+'" could not be loaded. Please make sure you have added the image with map.addImage() or a "sprite" property in your style. 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o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,c=l.x+1,u=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:c,y:u-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:c-1,y:u},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c+h,y:u},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];f(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=g,d=g,m=1e20;function g(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||"sans-serif",this.fontWeight=a||"normal",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement("canvas"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext("2d"),this.ctx.font=this.fontWeight+" "+this.fontSize+"px "+this.fontFamily,this.ctx.textBaseline="middle",this.ctx.fillStyle="black",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf("Gecko/")>=0?1.2:1))}function v(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(y(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(y(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function y(t,e,r,n,i){r[0]=0,n[0]=-m,n[1]=+m;for(var a=1,o=0;a<i;a++){for(var 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x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error("glyphs > 65535 not supported"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1){(0,o[i])(t,e)}delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else 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o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace("{fontstack}",e).replace("{range}",o+"-"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,"-transition")?this._transitionable.setTransition(n.slice(0,-"-transition".length),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),T=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};T.prototype.getDash=function(t,e){var r=t.join(",")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},T.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var c=t[l];i=s*r,a=(s+=c)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===c})}return n},T.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=void 0,d=i/r*(n+1);if(l.isDash){var m=n-Math.abs(d);p=Math.sqrt(h*h+m*m)}else p=n-Math.sqrt(h*h+d*d);this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=l.isDash?h:-h;this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce("LineAtlas out of space"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var c={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,c},T.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var k=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name="Worker "+a,this.actors.push(s)}};function A(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),["tiles","minzoom","maxzoom","attribution","mapbox_logo","bounds","scheme","tileSize","encoding"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}k.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},k.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},k.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},k.Actor=t.Actor;var M=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};M.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},M.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var S=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type="vector",this.minzoom=0,this.maxzoom=22,this.scheme="xyz",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,["url","scheme","tileSize","promoteId"])),this._options=t.extend({type:"vector"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error("vector tile sources must have a tileSize of 512");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this._tileJSONRequest=A(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new M(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&"expired"!==e.state?"loading"===e.state?e.reloadCallback=r:e.request=e.actor.send("reloadTile",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send("loadTile",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send("abortTile",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send("removeTile",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),E=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type="raster",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme="xyz",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:"raster"},n),t.extend(this,t.pick(n,["url","scheme","tileSize"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this._tileJSONRequest=A(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new M(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state="unloaded",r(null);else if(i)e.state="errored",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state="loaded",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type="raster-dem",this.maxzoom=22,this._options=t.extend({type:"raster-dem"},n),this.encoding=n.encoding||"mapbox"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:"raster-dem",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state="errored",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state="loaded",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state="unloaded",r(null);else if(n)e.state="errored",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&"expired"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send("loadDEMTile",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state="unloaded",t.actor&&t.actor.send("removeDEMTile",{uid:t.uid,source:this.id})},r}(E),C=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type="geojson",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event("dataloading",{dataType:"source"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:"source",sourceDataType:"metadata"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event("data",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event("dataloading",{dataType:"source"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:"source",sourceDataType:"content"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event("data",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send("geojson.getClusterExpansionZoom",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send("geojson.getClusterChildren",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send("geojson.getClusterLeaves",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;"string"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+".loadData",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+".coalesce",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?"reloadTile":"loadTile";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,"reloadTile"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send("removeTile",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send("removeSource",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=t.createLayout([{name:"a_pos",type:"Int16",components:2},{name:"a_texture_pos",type:"Int16",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type="image",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var c=i-r,u=a-n,f=Math.max(c,u),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];"loaded"!==i.state&&(i.state="loaded",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state="errored",e(null))},r.prototype.serialize=function(){return{type:"image",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var O=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type="video",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener("playing",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError("sources."+this.id,null,"Playback for this video can be set only between the "+r.start(0)+" and "+r.end(0)+"-second mark."))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];"loaded"!==i.state&&(i.state="loaded",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"video",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return"number"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"coordinates" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "coordinates"'))),n.animate&&"boolean"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'optional "animate" property must be a boolean value'))),n.canvas?"string"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"canvas" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "canvas"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error("Canvas dimensions cannot be less than or equal to zero."))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];"loaded"!==a.state&&(a.state="loaded",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"canvas",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(I),D={vector:S,raster:E,"raster-dem":L,geojson:C,video:O,image:I,canvas:z};function R(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function F(t,e,r,n,i,a){var o=function(t,e,r){if(t)for(var n=0,i=t;n<i.length;n+=1){var a=e[i[n]];if(a&&a.source===r&&"fill-extrusion"===a.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&"fill-extrusion"===s.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(B);for(var c=[],u=0,f=l;u<f.length;u+=1){var h=f[u];c.push({wrappedTileID:h.tileID.wrapped().key,queryResults:h.tile.queryRenderedFeatures(e,r,t._state,h.queryGeometry,h.cameraQueryGeometry,h.scale,i,a,s,R(t.transform,h.tileID))})}var p=function(t){for(var e={},r={},n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.queryResults,s=a.wrappedTileID,l=r[s]=r[s]||{};for(var c in o)for(var u=o[c],f=l[c]=l[c]||{},h=e[c]=e[c]||[],p=0,d=u;p<d.length;p+=1){var m=d[p];f[m.featureIndex]||(f[m.featureIndex]=!0,h.push(m))}}return e}(c);for(var d in p)p[d].forEach((function(e){var r=e.feature,n=t.getFeatureState(r.layer["source-layer"],r.id);r.source=r.layer.source,r.layer["source-layer"]&&(r.sourceLayer=r.layer["source-layer"]),r.state=n}));return p}function B(t,e){var r=t.tileID,n=e.tileID;return r.overscaledZ-n.overscaledZ||r.canonical.y-n.canonical.y||r.wrap-n.wrap||r.canonical.x-n.canonical.x}var N=function(t,e){this.max=t,this.onRemove=e,this.reset()};N.prototype.reset=function(){for(var t in this.data)for(var e=0,r=this.data[t];e<r.length;e+=1){var n=r[e];n.timeout&&clearTimeout(n.timeout),this.onRemove(n.value)}return this.data={},this.order=[],this},N.prototype.add=function(t,e,r){var n=this,i=t.wrapped().key;void 0===this.data[i]&&(this.data[i]=[]);var a={value:e,timeout:void 0};if(void 0!==r&&(a.timeout=setTimeout((function(){n.remove(t,a)}),r)),this.data[i].push(a),this.order.push(i),this.order.length>this.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},N.prototype.has=function(t){return t.wrapped().key in this.data},N.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},N.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},N.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},N.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},N.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this},N.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},N.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,i=this.data[r];n<i.length;n+=1){var a=i[n];t(a.value)||e.push(a)}for(var o=0,s=e;o<s.length;o+=1){var l=s[o];this.remove(l.value.tileID,l)}};var j=function(t,e,r){this.context=t;var n=t.gl;this.buffer=n.createBuffer(),this.dynamicDraw=Boolean(r),this.context.unbindVAO(),t.bindElementBuffer.set(this.buffer),n.bufferData(n.ELEMENT_ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?n.DYNAMIC_DRAW:n.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};j.prototype.bind=function(){this.context.bindElementBuffer.set(this.buffer)},j.prototype.updateData=function(t){var e=this.context.gl;this.context.unbindVAO(),this.bind(),e.bufferSubData(e.ELEMENT_ARRAY_BUFFER,0,t.arrayBuffer)},j.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)};var U={Int8:"BYTE",Uint8:"UNSIGNED_BYTE",Int16:"SHORT",Uint16:"UNSIGNED_SHORT",Int32:"INT",Uint32:"UNSIGNED_INT",Float32:"FLOAT"},V=function(t,e,r,n){this.length=e.length,this.attributes=r,this.itemSize=e.bytesPerElement,this.dynamicDraw=n,this.context=t;var i=t.gl;this.buffer=i.createBuffer(),t.bindVertexBuffer.set(this.buffer),i.bufferData(i.ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?i.DYNAMIC_DRAW:i.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};V.prototype.bind=function(){this.context.bindVertexBuffer.set(this.buffer)},V.prototype.updateData=function(t){var e=this.context.gl;this.bind(),e.bufferSubData(e.ARRAY_BUFFER,0,t.arrayBuffer)},V.prototype.enableAttributes=function(t,e){for(var r=0;r<this.attributes.length;r++){var n=this.attributes[r],i=e.attributes[n.name];void 0!==i&&t.enableVertexAttribArray(i)}},V.prototype.setVertexAttribPointers=function(t,e,r){for(var n=0;n<this.attributes.length;n++){var i=this.attributes[n],a=e.attributes[i.name];void 0!==a&&t.vertexAttribPointer(a,i.components,t[U[i.type]],!1,this.itemSize,i.offset+this.itemSize*(r||0))}},V.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)};var H=function(t){this.gl=t.gl,this.default=this.getDefault(),this.current=this.default,this.dirty=!1};H.prototype.get=function(){return this.current},H.prototype.set=function(t){},H.prototype.getDefault=function(){return this.default},H.prototype.setDefault=function(){this.set(this.default)};var q=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.clearColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)},r}(H),G=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 1},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearDepth(t),this.current=t,this.dirty=!1)},e}(H),Y=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearStencil(t),this.current=t,this.dirty=!1)},e}(H),W=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return[!0,!0,!0,!0]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.colorMask(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(H),Z=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.depthMask(t),this.current=t,this.dirty=!1)},e}(H),X=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 255},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.stencilMask(t),this.current=t,this.dirty=!1)},e}(H),J=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return{func:this.gl.ALWAYS,ref:0,mask:255}},e.prototype.set=function(t){var e=this.current;(t.func!==e.func||t.ref!==e.ref||t.mask!==e.mask||this.dirty)&&(this.gl.stencilFunc(t.func,t.ref,t.mask),this.current=t,this.dirty=!1)},e}(H),K=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){var t=this.gl;return[t.KEEP,t.KEEP,t.KEEP]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||this.dirty)&&(this.gl.stencilOp(t[0],t[1],t[2]),this.current=t,this.dirty=!1)},e}(H),Q=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;t?e.enable(e.STENCIL_TEST):e.disable(e.STENCIL_TEST),this.current=t,this.dirty=!1}},e}(H),$=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return[0,1]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||this.dirty)&&(this.gl.depthRange(t[0],t[1]),this.current=t,this.dirty=!1)},e}(H),tt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var 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t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;t?e.enable(e.CULL_FACE):e.disable(e.CULL_FACE),this.current=t,this.dirty=!1}},e}(H),st=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return this.gl.BACK},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.cullFace(t),this.current=t,this.dirty=!1)},e}(H),lt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return this.gl.CCW},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.frontFace(t),this.current=t,this.dirty=!1)},e}(H),ct=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.useProgram(t),this.current=t,this.dirty=!1)},e}(H),ut=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return this.gl.TEXTURE0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.activeTexture(t),this.current=t,this.dirty=!1)},e}(H),ft=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){var t=this.gl;return[0,0,t.drawingBufferWidth,t.drawingBufferHeight]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.viewport(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(H),ht=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindFramebuffer(e.FRAMEBUFFER,t),this.current=t,this.dirty=!1}},e}(H),pt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindRenderbuffer(e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(H),dt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindTexture(e.TEXTURE_2D,t),this.current=t,this.dirty=!1}},e}(H),mt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindBuffer(e.ARRAY_BUFFER,t),this.current=t,this.dirty=!1}},e}(H),gt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){var e=this.gl;e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,t),this.current=t,this.dirty=!1},e}(H),vt=function(t){function e(e){t.call(this,e),this.vao=e.extVertexArrayObject}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){this.vao&&(t!==this.current||this.dirty)&&(this.vao.bindVertexArrayOES(t),this.current=t,this.dirty=!1)},e}(H),yt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 4},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_ALIGNMENT,t),this.current=t,this.dirty=!1}},e}(H),xt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_PREMULTIPLY_ALPHA_WEBGL,t),this.current=t,this.dirty=!1}},e}(H),bt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_FLIP_Y_WEBGL,t),this.current=t,this.dirty=!1}},e}(H),_t=function(t){function e(e,r){t.call(this,e),this.context=e,this.parent=r}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e}(H),wt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.setDirty=function(){this.dirty=!0},e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}},e}(_t),Tt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(_t),kt=function(t,e,r,n){this.context=t,this.width=e,this.height=r;var i=t.gl,a=this.framebuffer=i.createFramebuffer();this.colorAttachment=new wt(t,a),n&&(this.depthAttachment=new Tt(t,a))};kt.prototype.destroy=function(){var t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r)}t.deleteFramebuffer(this.framebuffer)};var At=function(t,e,r){this.func=t,this.mask=e,this.range=r};At.ReadOnly=!1,At.ReadWrite=!0,At.disabled=new At(519,At.ReadOnly,[0,1]);var Mt=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Mt.disabled=new Mt({func:519,mask:0},0,0,7680,7680,7680);var St=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};St.disabled=new St(St.Replace=[1,0],t.Color.transparent,[!1,!1,!1,!1]),St.unblended=new St(St.Replace,t.Color.transparent,[!0,!0,!0,!0]),St.alphaBlended=new St([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Et=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Et.disabled=new Et(!1,1029,2305),Et.backCCW=new Et(!0,1029,2305);var Lt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension("OES_vertex_array_object"),this.clearColor=new q(this),this.clearDepth=new G(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new Z(this),this.stencilMask=new X(this),this.stencilFunc=new J(this),this.stencilOp=new K(this),this.stencilTest=new Q(this),this.depthRange=new $(this),this.depthTest=new tt(this),this.depthFunc=new et(this),this.blend=new rt(this),this.blendFunc=new nt(this),this.blendColor=new it(this),this.blendEquation=new at(this),this.cullFace=new ot(this),this.cullFaceSide=new st(this),this.frontFace=new lt(this),this.program=new ct(this),this.activeTexture=new ut(this),this.viewport=new ft(this),this.bindFramebuffer=new ht(this),this.bindRenderbuffer=new pt(this),this.bindTexture=new dt(this),this.bindVertexBuffer=new mt(this),this.bindElementBuffer=new gt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new vt(this),this.pixelStoreUnpack=new yt(this),this.pixelStoreUnpackPremultiplyAlpha=new xt(this),this.pixelStoreUnpackFlipY=new bt(this),this.extTextureFilterAnisotropic=t.getExtension("EXT_texture_filter_anisotropic")||t.getExtension("MOZ_EXT_texture_filter_anisotropic")||t.getExtension("WEBKIT_EXT_texture_filter_anisotropic"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension("OES_texture_half_float"),this.extTextureHalfFloat&&(t.getExtension("OES_texture_half_float_linear"),this.extRenderToTextureHalfFloat=t.getExtension("EXT_color_buffer_half_float")),this.extTimerQuery=t.getExtension("EXT_disjoint_timer_query")};Lt.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Lt.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Lt.prototype.createIndexBuffer=function(t,e){return new j(this,t,e)},Lt.prototype.createVertexBuffer=function(t,e,r){return new V(this,t,e,r)},Lt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Lt.prototype.createFramebuffer=function(t,e,r){return new kt(this,t,e,r)},Lt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Lt.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Lt.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Lt.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Lt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,St.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Lt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ct=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on("data",(function(t){"source"===t.dataType&&"metadata"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&"source"===t.dataType&&"content"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on("error",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new D[r.type](e,r,n,i);if(a.id!==e)throw new Error("Expected Source id to be "+e+" instead of "+a.id);return t.bindAll(["load","abort","unload","serialize","prepare"],a),a}(r,n,i,this),this._tiles={},this._cache=new N(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if("loaded"!==e.state&&"errored"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)"errored"!==this._tiles[t].state&&this._reloadTile(t,"reloading")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&("loading"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state="errored",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),"expired"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),"raster-dem"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event("data",{dataType:"source",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n="number"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(It(this._source.type)){for(var c={},u={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],m=this._tiles[p];if(m&&!(m.fadeEndTime&&m.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),c[g.tileID.key]=g.tileID),u[p]=d}}for(var v in this._retainLoadedChildren(u,a,s,l),c)l[v]||(this._coveredTiles[v]=!0,l[v]=c[v])}for(var y in l)this._tiles[y].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,c=t;l<c.length;l+=1){var u=c[l],f=this._addTile(u);n[u.key]=u,f.hasData()||e<this._source.maxzoom&&(s[u.key]=u)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],m=this._tiles[d.key];if(!m.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],v=this.getTile(g);if(v&&v.hasData()){n[g.key]=g;continue}}else{var y=d.children(this._source.maxzoom);if(n[y[0].key]&&n[y[1].key]&&n[y[2].key]&&n[y[3].key])continue}for(var x=m.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(m=this.getTile(_))&&x&&(m=this._addTile(_)),m&&(n[_.key]=_,x=m.wasRequested(),m.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event("dataloading",{tile:r,coord:r.tileID,dataType:"source"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,"expired"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&"reloading"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,m=0,g=c;m<g.length;m+=1){var v=g[m];f=Math.min(f,v.x),h=Math.min(h,v.y),p=Math.max(p,v.x),d=Math.max(d,v.y)}for(var y=function(e){var n=i._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,m=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/m,v=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(v[0].x-g<t.EXTENT&&v[0].y-g<t.EXTENT&&v[1].x+g>=0&&v[1].y+g>=0){var y=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:m})}}},x=0;x<u.length;x++)y(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(It(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||"_geojsonTileLayer",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles){this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,"reloading")}this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function Pt(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function It(t){return"raster"===t||"image"===t||"video"===t}function Ot(){return new t.window.Worker(Xi.workerUrl)}Ct.maxOverzooming=10,Ct.maxUnderzooming=3;var zt="mapboxgl_preloaded_worker_pool",Dt=function(){this.active={}};Dt.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Dt.workerCount;)this.workers.push(new Ot);return this.active[t]=!0,this.workers.slice()},Dt.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Dt.prototype.isPreloaded=function(){return!!this.active[zt]},Dt.prototype.numActive=function(){return Object.keys(this.active).length};var Rt,Ft=Math.floor(t.browser.hardwareConcurrency/2);function Bt(){return Rt||(Rt=new Dt),Rt}function Nt(e,r){var n={};for(var i in e)"ref"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function jt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)"ref"in t[n]&&(t[n]=Nt(t[n],e[t[n].ref]));return t}Dt.workerCount=Math.max(Math.min(Ft,6),1);var Ut={setStyle:"setStyle",addLayer:"addLayer",removeLayer:"removeLayer",setPaintProperty:"setPaintProperty",setLayoutProperty:"setLayoutProperty",setFilter:"setFilter",addSource:"addSource",removeSource:"removeSource",setGeoJSONSourceData:"setGeoJSONSourceData",setLayerZoomRange:"setLayerZoomRange",setLayerProperty:"setLayerProperty",setCenter:"setCenter",setZoom:"setZoom",setBearing:"setBearing",setPitch:"setPitch",setSprite:"setSprite",setGlyphs:"setGlyphs",setTransition:"setTransition",setLight:"setLight"};function Vt(t,e,r){r.push({command:Ut.addSource,args:[t,e[t]]})}function Ht(t,e,r){e.push({command:Ut.removeSource,args:[t]}),r[t]=!0}function qt(t,e,r,n){Ht(t,r,n),Vt(t,e,r)}function Gt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&"data"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&"data"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Yt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Wt(t){return t.id}function Zt(t,e){return t[e.id]=e,t}function Xt(e,r){if(!e)return[{command:Ut.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ut.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ut.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ut.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ut.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ut.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ut.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ut.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ut.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ut.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Ht(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||("geojson"===e[a].type&&"geojson"===r[a].type&&Gt(e,r,a)?n.push({command:Ut.setGeoJSONSourceData,args:[a,r[a].data]}):qt(a,r,n,i)):Vt(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:Ut.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,c,u,f=(e=e||[]).map(Wt),h=r.map(Wt),p=e.reduce(Zt,{}),d=r.reduce(Zt,{}),m=f.slice(),g=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:Ut.removeLayer,args:[o]}),m.splice(m.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],m[m.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:Ut.removeLayer,args:[o]}),m.splice(m.lastIndexOf(o,m.length-a),1)):a++,c=m[m.length-i],n.push({command:Ut.addLayer,args:[d[o],c]}),m.splice(m.length-i,0,o),g[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s["source-layer"],l["source-layer"])&&t.deepEqual(s.type,l.type)){for(u in Yt(s.layout,l.layout,n,o,null,Ut.setLayoutProperty),Yt(s.paint,l.paint,n,o,null,Ut.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ut.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ut.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(u)&&"layout"!==u&&"paint"!==u&&"filter"!==u&&"metadata"!==u&&"minzoom"!==u&&"maxzoom"!==u&&(0===u.indexOf("paint.")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}));for(u in l)l.hasOwnProperty(u)&&!s.hasOwnProperty(u)&&"layout"!==u&&"paint"!==u&&"filter"!==u&&"metadata"!==u&&"minzoom"!==u&&"maxzoom"!==u&&(0===u.indexOf("paint.")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:Ut.removeLayer,args:[o]}),c=m[m.lastIndexOf(o)+1],n.push({command:Ut.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn("Unable to compute style diff:",t),n=[{command:Ut.setStyle,args:[r]}]}return n}var Jt=function(t,e){this.reset(t,e)};Jt.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},Jt.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Kt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function Qt(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function $t(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function te(e,r){var n=[e.x,e.y,0,1];fe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ee(t,e){return.5+t/e*.5}function re(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ne(e,r,n,i,a,o,s,l){var c=i?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,m=n.transform.width/n.transform.height,g=!1,v=0;v<d.length;v++){var y=d.get(v);if(y.hidden||y.writingMode===t.WritingMode.vertical&&!g)ue(y.numGlyphs,h);else{g=!1;var x=[y.anchorX,y.anchorY,0,1];if(t.transformMat4(x,x,r),re(x,f)){var b=x[3],_=ee(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(c,u,y),T=s?w/_:w*_,k=new t.Point(y.anchorX,y.anchorY),A=te(k,a).point,M={},S=oe(y,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,m);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&oe(y,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,m).notEnoughRoom)&&ue(y.numGlyphs,h)}else ue(y.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function ie(t,e,r,n,i,a,o,s,l,c,u){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),m=e.getoffsetX(f-1),g=le(t*d,r,n,i,a,o,s.segment,h,p,l,c,u);if(!g)return null;var v=le(t*m,r,n,i,a,o,s.segment,h,p,l,c,u);return v?{first:g,last:v}:null}function ae(e,r,n,i){if(e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i)return{useVertical:!0};return(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function oe(e,r,n,i,a,o,s,l,c,u,f,h,p,d){var m,g=r/24,v=e.lineOffsetX*g,y=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=ie(g,l,v,y,n,f,h,e,c,o,p);if(!w)return{notEnoughRoom:!0};var T=te(w.first.point,s).point,k=te(w.last.point,s).point;if(i&&!n){var A=ae(e.writingMode,T,k,d);if(A)return A}m=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)m.push(le(g*l.getoffsetX(M),v,y,n,f,h,e.segment,b,_,c,o,p));m.push(w.last)}else{if(i&&!n){var S=te(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(c.getx(E),c.gety(E)),C=te(L,a),P=C.signedDistanceFromCamera>0?C.point:se(h,L,S,1,a),I=ae(e.writingMode,S,P,d);if(I)return I}var O=le(g*l.getoffsetX(e.glyphStartIndex),v,y,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!O)return{notEnoughRoom:!0};m=[O]}for(var z=0,D=m;z<D.length;z+=1){var R=D[z];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function se(t,e,r,n,i){var a=te(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function le(e,r,n,i,a,o,s,l,c,u,f,h){var p=i?e-r:e+r,d=p>0?1:-1,m=0;i&&(d*=-1,m=Math.PI),d<0&&(m+=Math.PI);for(var g=d>0?l+s:l+s+1,v=a,y=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)<l||g>=c)return null;if(y=v,w.push(v),void 0===(v=h[g])){var T=new t.Point(u.getx(g),u.gety(g)),k=te(T,f);if(k.signedDistanceFromCamera>0)v=h[g]=k.point;else{var A=g-d;v=se(0===x?o:new t.Point(u.getx(A),u.gety(A)),T,y,_-x+1,f)}}x+=b,b=y.dist(v)}var M=(_-x)/b,S=v.sub(y),E=S.mult(M)._add(y);E._add(S._unit()._perp()._mult(n*d));var L=m+Math.atan2(v.y-y.y,v.x-y.x);return w.push(E),{point:E,angle:L,path:w}}Kt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Kt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Kt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Kt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Kt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Kt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var c=this.circles[3*l],u=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:c-f,y1:u-f,x2:c+f,y2:u+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,a),i?o.length>0:o},Kt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var c=[],u={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,c,u,i),n?c.length>0:c},Kt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Kt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Kt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Kt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,c=this.boxCells[i];if(null!==c)for(var u=this.bboxes,f=0,h=c;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=u[d+2]&&e<=u[d+3]&&r>=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var m=this.circleCells[i];if(null!==m)for(var g=this.circles,v=0,y=m;v<y.length;v+=1){var x=y[v];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(g[b],g[b+1],g[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=g[b],w=g[b+1],T=g[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Kt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[i];if(null!==u)for(var f=this.bboxes,h=0,p=u;h<p.length;h+=1){var d=p[h];if(!c.box[d]){c.box[d]=!0;var m=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[m+0],f[m+1],f[m+2],f[m+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var v=this.circles,y=0,x=g;y<x.length;y+=1){var b=x[y];if(!c.circle[b]){c.circle[b]=!0;var _=3*b;if(this._circlesCollide(v[_],v[_+1],v[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Kt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=u;h++)for(var p=c;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Kt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Kt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Kt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Kt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var f=l-s,h=u-c;return f*f+h*h<=r*r};var ce=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ue(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(ce,3*n)}}function fe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var he=function(t,e,r){void 0===e&&(e=new Kt(t.width+200,t.height+200,25)),void 0===r&&(r=new Kt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+100,this.screenBottomBoundary=t.height+100,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function pe(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}he.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,c=t.x2*o+a.point.x,u=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,i)?{box:[],offscreen:!1}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},he.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,c,u,f,h,p){var d=[],m=new t.Point(r.anchorX,r.anchorY),g=te(m,o),v=ee(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),y=(u?a/v:a*v)/t.ONE_EM,x=te(m,s).point,b=ie(y,i,r.lineOffsetX*y,r.lineOffsetY*y,!1,x,m,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*v+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new Jt,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var I=1;I<L.path.length;I++)C.push(L.path[I]);var O=2.5*k;if(l){var z=C.map((function(t){return te(t,l)}));C=z.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:z.map((function(t){return t.point}))}var D=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);D=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=D;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V=0;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/O)+1;for(var H=0;H<V;H++){var q=H/Math.max(V-1,1),G=S.lerp(q),Y=G.x+100,W=G.y+100;d.push(Y,W,k,0);var Z=Y-k,X=W-k,J=Y+k,K=W+k;if(T=T&&this.isOffscreen(Z,X,J,K),w=w||this.isInsideGrid(Z,X,J,K),!e&&this.grid.hitTestCircle(Y,W,k,f)&&(_=!0,!c))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!c&&_||!w?[]:d,offscreen:T,collisionDetected:_}},he.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+100,c.y+100);n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y),r.push(u)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var m=d[p],g=m.key;if(void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]={}),!f[g.bucketInstanceId][g.featureIndex]){var v=[new t.Point(m.x1,m.y1),new t.Point(m.x2,m.y1),new t.Point(m.x2,m.y2),new t.Point(m.x1,m.y2)];t.polygonIntersectsPolygon(r,v)&&(f[g.bucketInstanceId][g.featureIndex]=!0,void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]=[]),h[g.bucketInstanceId].push(g.featureIndex))}}return h},he.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},he.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},he.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return fe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+100,(-i[1]/i[3]+1)/2*this.transform.height+100),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},he.prototype.isOffscreen=function(t,e,r,n){return r<100||t>=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},he.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},he.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var de=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};de.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var me=function(t,e,r,n,i){this.text=new de(t?t.text:null,e,r,i),this.icon=new de(t?t.icon:null,e,n,i)};me.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var ge=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},ve=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},ye=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},xe=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function be(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point(s+c[0]*a,l+c[1]*a)}function _e(e,r,n,i,a,o){var s=e.x1,l=e.x2,c=e.y1,u=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:f,anchorPointY:h}}xe.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var we=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new he(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new xe(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Te(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}we.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,c=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),u=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h="map"===l.get("text-pitch-alignment"),p="map"===l.get("text-rotation-alignment"),d=pe(n,1,this.transform.zoom),m=Qt(f,h,p,this.transform,d),g=null;if(h){var v=$t(f,h,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,v)}this.retainedQueryData[a.bucketInstanceId]=new ye(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var y={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:m,labelToScreenMatrix:g,scale:c,textPixelRatio:u,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,k=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:y})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:y})}},we.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d){var m,g=[f.textOffset0,f.textOffset1],v=be(t,r,n,g,i),y=this.collisionIndex.placeCollisionBox(_e(e,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate);if(d&&0===this.collisionIndex.placeCollisionBox(_e(d,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate).box.length)return;if(y.box.length>0)return this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(m=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:m},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:v,placedGlyphBoxes:y}},we.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,c=a.textLabelPlaneMatrix,u=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,m=a.collisionGroup,g=s.get("text-optional"),v=s.get("icon-optional"),y=s.get("text-allow-overlap"),x=s.get("icon-allow-overlap"),b="map"===s.get("text-rotation-alignment"),_="map"===s.get("text-pitch-alignment"),w="none"!==s.get("icon-text-fit"),T="viewport-y"===s.get("symbol-z-order"),k=y&&(x||!o.hasIconData()||v),A=x&&(y||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new ge(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,I=null,O=0,z=0,D=0;a.textFeatureIndex?O=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(O=e.featureIndex),a.verticalTextFeatureIndex&&(z=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length;i+=1){if(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),L&&L.box&&L.box.length)break}else L=r()};if(s.get("text-variable-anchor")){var N=s.get("text-variable-anchor");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,h={box:[],offscreen:!1},p=y?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],v=d>=N.length,k=i.attemptAnchorPlacement(g,t,a,s,c,b,_,f,l,m,v,e,o,n,u);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var H=i.prevPlacement.variableOffsets[e.crossTileID];H&&(i.variableOffsets[e.crossTileID]=H,i.markUsedJustification(o,H.anchor,e,V))}}else{var q=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,y,f,l,m.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return q(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?q(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Y=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get("text-padding"),Z=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(y,G,o.lineVertexArray,o.glyphOffsetArray,Y,l,c,u,n,_,m.predicate,Z,W),T=y||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(D=a.iconFeatureIndex),a.iconBox){var X=function(t){var e=w&&E?_e(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,m.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(I=X(a.verticalIconBox)).box.length>0:(I=X(a.iconBox)).box.length>0,S=S&&I.offscreen}var J=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=v||0===e.numIconVertices;if(J||K?K?J||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&z?i.collisionIndex.insertCollisionBox(p.box,s.get("text-ignore-placement"),o.bucketInstanceId,z,m.ID):i.collisionIndex.insertCollisionBox(p.box,s.get("text-ignore-placement"),o.bucketInstanceId,O,m.ID)),M&&I&&i.collisionIndex.insertCollisionBox(I.box,s.get("icon-ignore-placement"),o.bucketInstanceId,D,m.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get("text-ignore-placement"),o.bucketInstanceId,O,m.ID),n)){var Q=o.bucketInstanceId,$=i.collisionCircleArrays[Q];void 0===$&&($=i.collisionCircleArrays[Q]=new ve);for(var tt=0;tt<P.circles.length;tt+=4)$.circles.push(P.circles[tt+0]),$.circles.push(P.circles[tt+1]),$.circles.push(P.circles[tt+2]),$.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new ge(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)M(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},we.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var c=l[s];c>=0&&(e.text.placedSymbolArray.get(c).crossTileID=a>=0&&c!==a?0:n.crossTileID)}},we.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},we.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],c=i[s];c?(this.opacities[s]=new me(c,n,l.text,l.icon),r=r||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new me(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var u in i){var f=i[u];if(!this.opacities[u]){var h=new me(f,n,!1,!1);h.isHidden()||(this.opacities[u]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:"number"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},we.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},we.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new me(null,0,!1,!1,!0),s=a.get("text-allow-overlap"),l=a.get("icon-allow-overlap"),c=a.get("text-variable-anchor"),u="map"===a.get("text-rotation-alignment"),f="map"===a.get("text-pitch-alignment"),h="none"!==a.get("icon-text-fit"),p=new me(null,0,s&&(l||!e.hasIconData()||a.get("icon-optional")),l&&(s||!e.hasTextData()||a.get("text-optional")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},m=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,m=a.crossTileID,g=r[m],v=i.opacities[m];g?v=o:v||(v=p,i.opacities[m]=v),r[m]=!0;var y=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(y){var T=Pe(v.text),k=_?Ie:T;d(e.text,s,k);var A=w?Ie:T;d(e.text,l,A);var M=v.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,"left",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=Pe(v.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:Ie;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=v.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var I=C?Ie:L;d(e.icon,a.numVerticalIconVertices,I),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=v.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var O=e.collisionArrays[n];if(O){var z=new t.Point(0,0);if(O.textBox||O.verticalTextBox){var D=!0;if(c){var R=i.variableOffsets[m];R?(z=be(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),u&&z._rotate(f?i.transform.angle:-i.transform.angle)):D=!1}O.textBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||_,z.x,z.y),O.verticalTextBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||w,z.x,z.y)}var F=Boolean(!w&&O.verticalIconBox);O.iconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,F,h?z.x:0,h?z.y:0),O.verticalIconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,!F,h?z.x:0,h?z.y:0)}}},g=0;g<e.symbolInstances.length;g++)m(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var v=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=v.invProjMatrix,e.placementViewportMatrix=v.viewportMatrix,e.collisionCircleArray=v.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},we.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},we.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},we.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},we.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},we.prototype.setStale=function(){this.stale=!0};var ke=Math.pow(2,25),Ae=Math.pow(2,24),Me=Math.pow(2,17),Se=Math.pow(2,16),Ee=Math.pow(2,9),Le=Math.pow(2,8),Ce=Math.pow(2,1);function Pe(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*ke+e*Ae+r*Me+e*Se+r*Ee+e*Le+r*Ce+e}var Ie=0,Oe=function(t){this._sortAcrossTiles="viewport-y"!==t.layout.get("symbol-z-order")&&void 0!==t.layout.get("symbol-sort-key").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Oe.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var ze=function(t,e,r,n,i,a,o){this.placement=new we(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};ze.prototype.isDone=function(){return this._done},ze.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if("symbol"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Oe(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},ze.prototype.commit=function(t){return this.placement.commit(t),this.placement};var De=512/t.EXTENT/2,Re=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Re.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=De/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Re.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,c=o;l<c.length;l+=1){var u=c[l];if(Math.abs(u.coord.x-s.x)<=n&&Math.abs(u.coord.y-s.y)<=n&&!r[u.crossTileID]){r[u.crossTileID]=!0,a.crossTileID=u.crossTileID;break}}}}};var Fe=function(){this.maxCrossTileID=0};Fe.prototype.generate=function(){return++this.maxCrossTileID};var Be=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Be.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Be.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++){e.symbolInstances.get(n).crossTileID=0}this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var c=o[t.scaledTo(Number(a)).key];c&&c.findMatches(e.symbolInstances,t,i)}}for(var u=0;u<e.symbolInstances.length;u++){var f=e.symbolInstances.get(u);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Re(t,e.symbolInstances,e.bucketInstanceId),!0},Be.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Be.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ne=function(){this.layerIndexes={},this.crossTileIDs=new Fe,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ne.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Be);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,c,this.crossTileIDs)&&(i=!0),a[c.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ne.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var je=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return"source.canvas"!==t.identifier})))},Ue=t.pick(Ut,["addLayer","removeLayer","setPaintProperty","setLayoutProperty","setFilter","addSource","removeSource","setLayerZoomRange","setLight","setTransition","setGeoJSONSourceData"]),Ve=t.pick(Ut,["setCenter","setZoom","setBearing","setPitch"]),He=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a=null;null!=(a="version"===n?r:"array"===i.type?[]:{})&&(e[n]=a)}}return e}(),qe=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new k(Bt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new T(256,512),this.crossTileSymbolIndex=new Ne,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast("setReferrer",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast("syncRTLPluginState",r,(function(e,r){if((t.triggerPluginCompletionEvent(e),r)&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on("data",(function(t){if("source"===t.dataType&&"metadata"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event("dataloading",{dataType:"style"}));var i="boolean"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event("dataloading",{dataType:"style"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event("dataloading",{dataType:"style"})),this._load(He,!1)},r.prototype._load=function(e,r){if(!r||!je(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=jt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast("setLayers",this._serializeLayers(this._order)),this.light=new w(this.stylesheet.light),this.fire(new t.Event("data",{dataType:"style"})),this.fire(new t.Event("style.load"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?"@2x":"",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,".json"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,".png"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,a=e,u())}));function u(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],c=l.width,u=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,m=l.stretchX,g=l.stretchY,v=l.content,y=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,y,{x:f,y:h},{x:0,y:0},{width:c,height:u}),r[s]={data:y,pixelRatio:d,sdf:p,stretchX:m,stretchY:g,content:v}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast("setImages",r._availableImages),r.fire(new t.Event("data",{dataType:"style"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();("geojson"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer "'+n+'" does not exist on source "'+i.id+'" as specified by style layer "'+e.id+'"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];"custom"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error("Style is not done loading")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];"reload"===o?this._reloadSource(a):"clear"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var c=0,u=this._order;c<u.length;c+=1){var f=u[c],h=this._layers[f];h.recalculate(e,this._availableImages),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event("data",{dataType:"style"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies(["icons","patterns"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast("updateLayers",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),je(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=jt(e.layers);var n=Xt(this.serialize(),e).filter((function(t){return!(t.command in Ve)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in Ue)}));if(i.length>0)throw new Error("Unimplemented: "+i.map((function(t){return t.command})).join(", ")+".");return n.forEach((function(t){"setTransition"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error("An image with this name already exists.")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event("data",{dataType:"style"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error("No image with this name exists.")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event("data",{dataType:"style"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error("There is already a source with this ID");if(!r.type)throw new Error("The type property must be defined, but the only the following properties were given: "+Object.keys(r).join(", ")+".");if(!(["vector","raster","geojson","video","image"].indexOf(r.type)>=0)||!this._validate(t.validateStyle.source,"sources."+e,r,null,n)){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ct(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error("There is no source with this ID");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source "'+e+'" cannot be removed while layer "'+r+'" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event("data",{sourceDataType:"metadata",dataType:"source",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id "'+i+'" already exists on this map')));else{var a;if("custom"===e.type){if(je(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if("object"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,"layers."+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&"custom"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]="clear":(this._updatedSources[a.source]="reload",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be moved.")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be removed.")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot have zoom extent.")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,"layers."+i.id+".filter",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be filtered.")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style.")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;"geojson"===o&&i?this.fire(new t.ErrorEvent(new Error("GeoJSON sources cannot have a sourceLayer parameter."))):"vector"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided."))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o="vector"===a?e.sourceLayer:void 0;"vector"!==a||o?r&&"string"!=typeof e.id&&"number"!=typeof e.id?this.fire(new t.ErrorEvent(new Error("A feature id is requred to remove its specific state property."))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if("vector"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided."))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+r+"' does not exist in the map's style.")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&"raster"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]="reload",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return"fill-extrusion"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var c=l[s][o];if(c)for(var u=0,f=c;u<f.length;u+=1){var h=f[u];i.push(h)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var m=this._order[d];if(r(m))for(var g=i.length-1;g>=0;g--){var v=i[g].feature;if(n[v.layer.id]<d)break;p.push(v),i.pop()}else for(var y=0,x=t;y<x.length;y+=1){var b=x[y][m];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,"queryRenderedFeatures.filter",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error("parameters.layers must be an Array."))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error("The layer '"+s+"' does not exist in the map's style and cannot be queried for features."))),[];i[l.source]=!0}}var c=[];for(var u in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[u]||c.push(F(this.sourceCaches[u],this._layers,this._serializedLayers,e,r,n));return this.placement&&c.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),c=[],u=0,f=Object.keys(l).map(Number);u<f.length;u+=1){var h=f[u];c.push(o[h])}c.sort(B);for(var p=function(){var r=m[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],c=n[a];c.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var u=0,f=c;u<f.length;u+=1){var h=f[u];o.push(h)}}},d=0,m=c;d<m.length;d+=1)p();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer["source-layer"],i.id);i.source=i.layer.source,i.layer["source-layer"]&&(i.sourceLayer=i.layer["source-layer"]),i.state=o}))};for(var v in s)g(v);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(c)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,"querySourceFeatures.filter",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called "'+t+'" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast("loadWorkerSource",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&je(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off("pluginStateChange",this._rtlTextPluginCallback),this._layers){this._layers[e].setEventedParent(null)}for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},c=0,u=this._order;c<u.length;c+=1){var f=u[c],h=this._layers[f];if("symbol"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new ze(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var m=0,g=this._order;m<g.length;m+=1){var v=g[m],y=this._layers[v];"symbol"===y.type&&this.placement.updateLayerOpacities(y,l[y.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);qe.getSourceType=function(t){return D[t]},qe.setSourceType=function(t,e){D[t]=e},qe.registerForPluginStateChange=t.registerForPluginStateChange;var Ge=t.createLayout([{name:"a_pos",type:"Int16",components:2}]),Ye=yr("#ifdef GL_ES\nprecision mediump float;\n#else\n#if !defined(lowp)\n#define lowp\n#endif\n#if !defined(mediump)\n#define mediump\n#endif\n#if !defined(highp)\n#define highp\n#endif\n#endif","#ifdef GL_ES\nprecision highp float;\n#else\n#if !defined(lowp)\n#define lowp\n#endif\n#if !defined(mediump)\n#define mediump\n#endif\n#if !defined(highp)\n#define highp\n#endif\n#endif\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}"),We=yr("uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}"),Ze=yr("uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}"),Xe=yr("varying vec3 v_data;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define mediump float radius\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define highp vec4 stroke_color\n#pragma mapbox: define mediump float stroke_width\n#pragma mapbox: define lowp float stroke_opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize mediump float radius\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize highp vec4 stroke_color\n#pragma mapbox: initialize mediump float stroke_width\n#pragma mapbox: initialize lowp float stroke_opacity\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define mediump float radius\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define highp vec4 stroke_color\n#pragma mapbox: define mediump float stroke_width\n#pragma mapbox: define lowp float stroke_opacity\nvoid main(void) {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize mediump float radius\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize highp vec4 stroke_color\n#pragma mapbox: initialize mediump float stroke_width\n#pragma mapbox: initialize lowp float stroke_opacity\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}"),Je=yr("void main() {gl_FragColor=vec4(1.0);}","attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}"),Ke=yr("uniform highp float u_intensity;varying vec2 v_extrude;\n#pragma mapbox: define highp float weight\n#define GAUSS_COEF 0.3989422804014327\nvoid main() {\n#pragma mapbox: initialize highp float weight\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\n#pragma mapbox: define highp float weight\n#pragma mapbox: define mediump float radius\nconst highp float ZERO=1.0/255.0/16.0;\n#define GAUSS_COEF 0.3989422804014327\nvoid main(void) {\n#pragma mapbox: initialize highp float weight\n#pragma mapbox: initialize mediump float radius\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}"),Qe=yr("uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(0.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}"),$e=yr("varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}","attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}"),tr=yr("varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}","attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}"),er=yr("uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}","attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}"),rr=yr("#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_FragColor=color*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);}"),nr=yr("varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),ir=yr("uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),ar=yr("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}"),or=yr("varying vec4 v_color;void main() {gl_FragColor=v_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\n#pragma mapbox: define highp float base\n#pragma mapbox: define highp float height\n#pragma mapbox: define highp vec4 color\nvoid main() {\n#pragma mapbox: initialize highp float base\n#pragma mapbox: initialize highp float height\n#pragma mapbox: initialize highp vec4 color\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}"),sr=yr("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\n? a_pos\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}"),lr=yr("#ifdef GL_ES\nprecision highp float;\n#endif\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}"),cr=yr("uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\n#define PI 3.141592653589793\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}"),ur=yr("uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),fr=yr("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define MAX_LINE_DISTANCE 32767.0\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),hr=yr("uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float pixel_ratio_from\n#pragma mapbox: define lowp float pixel_ratio_to\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float pixel_ratio_from\n#pragma mapbox: initialize lowp float pixel_ratio_to\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}"),pr=yr("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}"),dr=yr("uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}"),mr=yr("uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}"),gr=yr("#define SDF_PX 8.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}"),vr=yr("#define SDF_PX 8.0\n#define SDF 1.0\n#define ICON 0.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}");function yr(t,e){var r=/#pragma mapbox: ([\w]+) ([\w]+) ([\w]+) ([\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,i,a){return n[a]=!0,"define"===e?"\n#ifndef HAS_UNIFORM_u_"+a+"\nvarying "+r+" "+i+" "+a+";\n#else\nuniform "+r+" "+i+" u_"+a+";\n#endif\n":"\n#ifdef HAS_UNIFORM_u_"+a+"\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n"})),vertexSource:e=e.replace(r,(function(t,e,r,i,a){var o="float"===i?"vec2":"vec4",s=a.match(/color/)?"color":o;return n[a]?"define"===e?"\n#ifndef HAS_UNIFORM_u_"+a+"\nuniform lowp float u_"+a+"_t;\nattribute "+r+" "+o+" a_"+a+";\nvarying "+r+" "+i+" "+a+";\n#else\nuniform "+r+" "+i+" u_"+a+";\n#endif\n":"vec4"===s?"\n#ifndef HAS_UNIFORM_u_"+a+"\n    "+a+" = a_"+a+";\n#else\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+a+"\n    "+a+" = unpack_mix_"+s+"(a_"+a+", u_"+a+"_t);\n#else\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n":"define"===e?"\n#ifndef HAS_UNIFORM_u_"+a+"\nuniform lowp float u_"+a+"_t;\nattribute "+r+" "+o+" a_"+a+";\n#else\nuniform "+r+" "+i+" u_"+a+";\n#endif\n":"vec4"===s?"\n#ifndef HAS_UNIFORM_u_"+a+"\n    "+r+" "+i+" "+a+" = a_"+a+";\n#else\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+a+"\n    "+r+" "+i+" "+a+" = unpack_mix_"+s+"(a_"+a+", u_"+a+"_t);\n#else\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n"}))}}var xr=Object.freeze({__proto__:null,prelude:Ye,background:We,backgroundPattern:Ze,circle:Xe,clippingMask:Je,heatmap:Ke,heatmapTexture:Qe,collisionBox:$e,collisionCircle:tr,debug:er,fill:rr,fillOutline:nr,fillOutlinePattern:ir,fillPattern:ar,fillExtrusion:or,fillExtrusionPattern:sr,hillshadePrepare:lr,hillshade:cr,line:ur,lineGradient:fr,linePattern:hr,lineSDF:pr,raster:dr,symbolIcon:mr,symbolSDF:gr,symbolTextAndIcon:vr}),br=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};br.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c<n.length;c++)this.boundPaintVertexBuffers[c]!==n[c]&&(l=!0);var u=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||u?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},br.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var f=l;f<s;f++)u.disableVertexAttribArray(f)}e.enableAttributes(u,t);for(var h=0,p=r;h<p.length;h+=1){p[h].enableAttributes(u,t)}a&&a.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,i);for(var d=0,m=r;d<m.length;d+=1){var g=m[d];g.bind(),g.setVertexAttribPointers(u,t,i)}a&&(a.bind(),a.setVertexAttribPointers(u,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,i)),c.currentNumAttributes=l},br.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var _r=function(t,e,r,n,i){var a=t.gl;this.program=a.createProgram();var o=r?r.defines():[];i&&o.push("#define OVERDRAW_INSPECTOR;");var s=o.concat(Ye.fragmentSource,e.fragmentSource).join("\n"),l=o.concat(Ye.vertexSource,e.vertexSource).join("\n"),c=a.createShader(a.FRAGMENT_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(c,s),a.compileShader(c),a.attachShader(this.program,c);var u=a.createShader(a.VERTEX_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(u,l),a.compileShader(u),a.attachShader(this.program,u);for(var f=r?r.layoutAttributes:[],h=0;h<f.length;h++)a.bindAttribLocation(this.program,h,f[h].name);a.linkProgram(this.program),a.deleteShader(u),a.deleteShader(c),this.numAttributes=a.getProgramParameter(this.program,a.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var m=a.getActiveAttrib(this.program,d);m&&(this.attributes[m.name]=a.getAttribLocation(this.program,m.name))}for(var g=a.getProgramParameter(this.program,a.ACTIVE_UNIFORMS),v=0;v<g;v++){var y=a.getActiveUniform(this.program,v);y&&(p[y.name]=a.getUniformLocation(this.program,y.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function wr(t,e,r){var n=1/pe(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}_r.prototype.draw=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m){var g,v=t.gl;if(!this.failedToCreate){for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[v.LINES]=2,g[v.TRIANGLES]=3,g[v.LINE_STRIP]=1,g)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new br)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,m),v.drawElements(e,w.primitiveLength*x,v.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Tr=function(e,r,n,i){var a=r.style.light,o=a.properties.get("position"),s=[o.x,o.y,o.z],l=t.create$1();"viewport"===a.properties.get("anchor")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=a.properties.get("color");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get("intensity"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},kr=function(e,r,n,i,a,o,s){return t.extend(Tr(e,r,n,i),wr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Ar=function(t){return{u_matrix:t}},Mr=function(e,r,n,i){return t.extend(Ar(e),wr(n,r,i))},Sr=function(t,e){return{u_matrix:t,u_world:e}},Er=function(e,r,n,i,a){return t.extend(Mr(e,r,n,i),{u_world:a})},Lr=function(e,r,n,i){var a,o,s=e.transform;if("map"===i.paint.get("circle-pitch-alignment")){var l=pe(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+("map"===i.paint.get("circle-pitch-scale")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get("circle-translate"),i.paint.get("circle-translate-anchor")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Cr=function(t,e,r){var n=pe(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Pr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Ir=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Or=function(t){return{u_matrix:t}},zr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:pe(e,1,r),u_intensity:n}};function Dr(e,r){var n=Math.pow(2,r.canonical.z),i=r.canonical.y;return[new t.MercatorCoordinate(0,i/n).toLngLat().lat,new t.MercatorCoordinate(0,(i+1)/n).toLngLat().lat]}var Rr=function(e,r,n){var i=e.transform;return{u_matrix:Ur(e,r,n),u_ratio:1/pe(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Fr=function(e,r,n){return t.extend(Rr(e,r,n),{u_image:0})},Br=function(e,r,n,i){var a=e.transform,o=jr(r,a);return{u_matrix:Ur(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/pe(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Nr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=jr(r,o),c="round"===n.layout.get("line-cap"),u=s.getDash(i.from,c),f=s.getDash(i.to,c),h=u.width*a.fromScale,p=f.width*a.toScale;return t.extend(Rr(e,r,n),{u_patternscale_a:[l/h,-u.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:u.y,u_tex_y_b:f.y,u_mix:a.t})};function jr(t,e){return 1/pe(t,1,e.tileZoom)}function Ur(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get("line-translate"),r.paint.get("line-translate-anchor"))}var Vr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get("raster-opacity"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get("raster-brightness-min"),u_brightness_high:i.paint.get("raster-brightness-max"),u_saturation_factor:(o=i.paint.get("raster-saturation"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get("raster-contrast"),a>0?1/(1-a):1+a),u_spin_weights:Hr(i.paint.get("raster-hue-rotate"))};var a,o};function Hr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var qr,Gr=function(t,e,r,n,i,a,o,s,l,c){var u=i.transform;return{u_is_size_zoom_constant:+("constant"===t||"source"===t),u_is_size_feature_constant:+("constant"===t||"camera"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Yr=function(e,r,n,i,a,o,s,l,c,u,f){var h=a.transform;return t.extend(Gr(e,r,n,i,a,o,s,l,c,u),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Wr=function(e,r,n,i,a,o,s,l,c,u){return t.extend(Yr(e,r,n,i,a,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},Zr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Xr=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,f=u*(n.tileID.canonical.x+n.tileID.wrap*c),h=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/pe(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},Jr={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function Kr(e,r,n,i,a,o,s){for(var l=e.context,c=l.gl,u=e.useProgram("collisionBox"),f=[],h=0,p=0,d=0;d<i.length;d++){var m=i[d],g=r.getTile(m),v=g.getBucket(n);if(v){var y=m.posMatrix;0===a[0]&&0===a[1]||(y=e.translatePosMatrix(m.posMatrix,g,a,o));var x=s?v.textCollisionBox:v.iconCollisionBox,b=v.collisionCircleArray;if(b.length>0){var _=t.create(),w=y;t.mul(_,v.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,v.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&u.draw(l,c.LINES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,Cr(y,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram("collisionCircle"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,P=E.circleArray[C+0],I=E.circleArray[C+1],O=E.circleArray[C+2],z=E.circleArray[C+3];k.emplace(A++,P,I,O,z,0),k.emplace(A++,P,I,O,z,1),k.emplace(A++,P,I,O,z,2),k.emplace(A++,P,I,O,z,3)}(!qr||qr.length<2*h)&&(qr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var D=l.createIndexBuffer(qr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=Pr(N.transform,N.invTransform,e.transform);T.draw(l,c.TRIANGLES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,j,n.id,R,D,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),D.destroy()}}var Qr=t.identity(new Float32Array(16));function $r(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point((l/a+u[0])*o,(c/a+u[1])*o)}function tn(e,r,n,i,a,o,s,l,c,u,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,m={};p.clear();for(var g=0;g<h.length;g++){var v=h.get(g),y=e.allowVerticalPlacement&&!v.placedOrientation,x=v.hidden||!v.crossTileID||y?null:i[v.crossTileID];if(x){var b=new t.Point(v.anchorX,v.anchorY),_=te(b,n?l:s),w=ee(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,u,v)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/c);for(var k=x.width,A=x.height,M=$r(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?te(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&v.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<v.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&v.associatedIconIndex>=0&&(m[v.associatedIconIndex]={shiftedAnchor:S,angle:E})}else ue(v.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var I=C.get(P);if(I.hidden)ue(I.numGlyphs,d);else{var O=m[P];if(O)for(var z=0;z<I.numGlyphs;z++)t.addDynamicAttributes(d,O.shiftedAnchor,O.angle);else ue(I.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function en(t,e,r){return r.iconsInText&&e?"symbolTextAndIcon":t?"symbolSDF":"symbolIcon"}function rn(e,r,n,i,a,o,s,l,c,u,f,h){for(var p=e.context,d=p.gl,m=e.transform,g="map"===l,v="map"===c,y=g&&"point"!==n.layout.get("symbol-placement"),x=g&&!v&&!y,b=void 0!==n.layout.get("symbol-sort-key").constantOr(1),_=e.depthModeForSublayer(0,At.ReadOnly),w=n.layout.get("text-variable-anchor"),T=[],k=0,A=i;k<A.length;k+=1){var M=A[k],S=r.getTile(M),E=S.getBucket(n);if(E){var L=a?E.text:E.icon;if(L&&L.segments.get().length){var C=L.programConfigurations.get(n.id),P=a||E.sdfIcons,I=a?E.textSizeData:E.iconSizeData,O=v||0!==m.pitch,z=e.useProgram(en(P,a,E),C),D=t.evaluateSizeForZoom(I,m.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(a){if(B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText){F=S.imageAtlasTexture.size,j=S.imageAtlasTexture;var V="composite"===I.kind||"camera"===I.kind;U=O||e.options.rotating||e.options.zooming||V?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get("icon-size").constantOr(0)||E.iconsNeedLinear;B=S.imageAtlasTexture,N=P||e.options.rotating||e.options.zooming||H||O?d.LINEAR:d.NEAREST,R=S.imageAtlasTexture.size}var q=pe(S,1,e.transform.zoom),G=Qt(M.posMatrix,v,g,e.transform,q),Y=$t(M.posMatrix,v,g,e.transform,q),W=w&&E.hasTextData(),Z="none"!==n.layout.get("icon-text-fit")&&W&&E.hasIconData();y&&ne(E,M.posMatrix,e,a,G,Y,v,u);var X=e.translatePosMatrix(M.posMatrix,S,o,s),J=y||a&&w||Z?Qr:G,K=e.translatePosMatrix(Y,S,o,s,!0),Q=P&&0!==n.paint.get(a?"text-halo-width":"icon-halo-width").constantOr(1),$={program:z,buffers:L,uniformValues:P?E.iconsInText?Wr(I.kind,D,x,v,e,X,J,K,R,F):Yr(I.kind,D,x,v,e,X,J,K,a,R,!0):Gr(I.kind,D,x,v,e,X,J,K,a,R),atlasTexture:B,atlasTextureIcon:j,atlasInterpolation:N,atlasInterpolationIcon:U,isSDF:P,hasHalo:Q};if(b)for(var tt=0,et=L.segments.get();tt<et.length;tt+=1){var rt=et[tt];T.push({segments:new t.SegmentVector([rt]),sortKey:rt.sortKey,state:$})}else T.push({segments:L.segments,sortKey:0,state:$})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var nt=0,it=T;nt<it.length;nt+=1){var at=it[nt],ot=at.state;if(p.activeTexture.set(d.TEXTURE0),ot.atlasTexture.bind(ot.atlasInterpolation,d.CLAMP_TO_EDGE),ot.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),ot.atlasTextureIcon&&ot.atlasTextureIcon.bind(ot.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),ot.isSDF){var st=ot.uniformValues;ot.hasHalo&&(st.u_is_halo=1,nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,st)),st.u_is_halo=0}nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,ot.uniformValues)}}function nn(t,e,r,n,i,a,o,s,l){var c=n.context,u=c.gl;i.draw(c,u.TRIANGLES,a,o,s,Et.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function an(t,e,r,n,i,a,o){var s,l,c,u,f,h=t.context.gl,p=r.paint.get("fill-pattern"),d=p&&p.constantOr(1),m=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty("fill-outline-color")?"fillOutlinePattern":"fillOutline",s=h.LINES):(l=d?"fillPattern":"fill",s=h.TRIANGLES);for(var g=0,v=n;g<v.length;g+=1){var y=v[g],x=e.getTile(y);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(m));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&_.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(y.posMatrix,x,r.paint.get("fill-translate"),r.paint.get("fill-translate-anchor"));if(o){u=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];c="fillOutlinePattern"===l&&d?Er(S,t,m,x,E):Sr(S,E)}else u=b.indexBuffer,f=b.segments,c=d?Mr(S,t,m,x):Ar(S);w.draw(t.context,s,i,t.stencilModeForClipping(y),a,Et.disabled,c,r.id,b.layoutVertexBuffer,u,f,r.paint,t.transform.zoom,_)}}}}function on(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,c=r.paint.get("fill-extrusion-pattern"),u=c.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get("fill-extrusion-opacity"),p=0,d=n;p<d.length;p+=1){var m=d[p],g=e.getTile(m),v=g.getBucket(r);if(v){var y=v.programConfigurations.get(r.id),x=t.useProgram(u?"fillExtrusionPattern":"fillExtrusion",y);u&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePaintBuffers(f));var b=c.constantOr(null);if(b&&g.imageAtlas){var _=g.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&y.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(m.posMatrix,g,r.paint.get("fill-extrusion-translate"),r.paint.get("fill-extrusion-translate-anchor")),A=r.paint.get("fill-extrusion-vertical-gradient"),M=u?kr(k,t,A,h,m,f,g):Tr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Et.backCCW,M,r.id,v.layoutVertexBuffer,v.indexBuffer,v.segments,r.paint,t.transform.zoom,y)}}}function sn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var c=t.useProgram("hillshade");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var u=function(t,e,r){var n=r.paint.get("hillshade-shadow-color"),i=r.paint.get("hillshade-highlight-color"),a=r.paint.get("hillshade-accent-color"),o=r.paint.get("hillshade-illumination-direction")*(Math.PI/180);"viewport"===r.paint.get("hillshade-illumination-anchor")&&(o-=t.transform.angle);var s=!t.options.moving;return{u_matrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped(),s),u_image:0,u_latrange:Dr(t,e.tileID),u_light:[r.paint.get("hillshade-exaggeration"),o],u_shadow:n,u_highlight:i,u_accent:a}}(t,e,r);c.draw(o,s.TRIANGLES,n,i,a,Et.disabled,u,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function ln(e,r,n,i,a,o,s){var l=e.context,c=l.gl,u=r.dem;if(u&&u.data){var f=u.dim,h=u.stride,p=u.getPixels();if(l.activeTexture.set(c.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(c.NEAREST,c.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,c.RGBA,{premultiply:!1}),r.demTexture.bind(c.NEAREST,c.CLAMP_TO_EDGE);l.activeTexture.set(c.TEXTURE0);var m=r.fbo;if(!m){var g=new t.Texture(l,{width:f,height:f,data:null},c.RGBA);g.bind(c.LINEAR,c.CLAMP_TO_EDGE),(m=r.fbo=l.createFramebuffer(f,f,!0)).colorAttachment.set(g.texture)}l.bindFramebuffer.set(m.framebuffer),l.viewport.set([0,0,f,f]),e.useProgram("hillshadePrepare").draw(l,c.TRIANGLES,a,o,s,Et.disabled,function(e,r,n){var i=r.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[i,i],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}}(r.tileID,u,i),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function cn(e,r,n,i,a){var o=i.paint.get("raster-fade-duration");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),f=a.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var un=new t.Color(1,0,0,1),fn=new t.Color(0,1,0,1),hn=new t.Color(0,0,1,1),pn=new t.Color(1,0,1,1),dn=new t.Color(0,1,1,1);function mn(t){var e=t.transform.padding;gn(t,t.transform.height-(e.top||0),3,un),gn(t,e.bottom||0,3,fn),vn(t,e.left||0,3,hn),vn(t,t.transform.width-(e.right||0),3,pn);var r=t.transform.centerPoint;!function(t,e,r,n){yn(t,e-1,r-10,2,20,n),yn(t,e-10,r-1,20,2,n)}(t,r.x,t.transform.height-r.y,dn)}function gn(t,e,r,n){yn(t,0,e+r/2,t.transform.width,r,n)}function vn(t,e,r,n){yn(t,e-r/2,0,r,t.transform.height,n)}function yn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function xn(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram("debug"),l=At.disabled,c=Mt.disabled,u=e.colorModeForRenderPass();i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,c,u,Et.disabled,Ir(o,t.Color.red),"$debug",e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var f=r.getTileByID(n.key).latestRawTileData,h=f&&f.byteLength||0,p=Math.floor(h/1024),d=r.getTile(n).tileSize,m=512/Math.min(d,512)*(n.overscaledZ/e.transform.zoom)*.5,g=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(g+=" => "+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext("2d");i.clearRect(0,0,r.width,r.height),i.shadowColor="white",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle="white",i.textBaseline="top",i.font="bold 36px Open Sans, sans-serif",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,g+" "+p+"kb"),s.draw(i,a.TRIANGLES,l,c,St.alphaBlended,Et.disabled,Ir(o,t.Color.transparent,m),"$debug",e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var bn={symbol:function(e,r,n,i,a){if("translucent"===e.renderPass){var o=Mt.disabled,s=e.colorModeForRenderPass();n.layout.get("text-variable-anchor")&&function(e,r,n,i,a,o,s){for(var l=r.transform,c="map"===a,u="map"===o,f=0,h=e;f<h.length;f+=1){var p=h[f],d=i.getTile(p),m=d.getBucket(n);if(m&&m.text&&m.text.segments.get().length){var g=m.textSizeData,v=t.evaluateSizeForZoom(g,l.zoom),y=pe(d,1,r.transform.zoom),x=Qt(p.posMatrix,u,c,r.transform,y),b="none"!==n.layout.get("icon-text-fit")&&m.hasIconData();if(v){var _=Math.pow(2,l.zoom-d.tileID.overscaledZ);tn(m,c,u,s,t.symbolSize,l,x,p.posMatrix,_,v,b)}}}}(i,e,n,r,n.layout.get("text-rotation-alignment"),n.layout.get("text-pitch-alignment"),a),0!==n.paint.get("icon-opacity").constantOr(1)&&rn(e,r,n,i,!1,n.paint.get("icon-translate"),n.paint.get("icon-translate-anchor"),n.layout.get("icon-rotation-alignment"),n.layout.get("icon-pitch-alignment"),n.layout.get("icon-keep-upright"),o,s),0!==n.paint.get("text-opacity").constantOr(1)&&rn(e,r,n,i,!0,n.paint.get("text-translate"),n.paint.get("text-translate-anchor"),n.layout.get("text-rotation-alignment"),n.layout.get("text-pitch-alignment"),n.layout.get("text-keep-upright"),o,s),r.map.showCollisionBoxes&&(Kr(e,r,n,i,n.paint.get("text-translate"),n.paint.get("text-translate-anchor"),!0),Kr(e,r,n,i,n.paint.get("icon-translate"),n.paint.get("icon-translate-anchor"),!1))}},circle:function(e,r,n,i){if("translucent"===e.renderPass){var a=n.paint.get("circle-opacity"),o=n.paint.get("circle-stroke-width"),s=n.paint.get("circle-stroke-opacity"),l=void 0!==n.layout.get("circle-sort-key").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var c=e.context,u=c.gl,f=e.depthModeForSublayer(0,At.ReadOnly),h=Mt.disabled,p=e.colorModeForRenderPass(),d=[],m=0;m<i.length;m++){var g=i[m],v=r.getTile(g),y=v.getBucket(n);if(y){var x=y.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram("circle",x),layoutVertexBuffer:y.layoutVertexBuffer,indexBuffer:y.indexBuffer,uniformValues:Lr(e,g,v,n)};if(l)for(var _=0,w=y.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:y.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,I=S.uniformValues,O=M.segments;L.draw(c,u.TRIANGLES,f,h,p,Et.disabled,I,n.id,C,P,O,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get("heatmap-opacity"))if("offscreen"===e.renderPass){var a=e.context,o=a.gl,s=Mt.disabled,l=new St([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);!function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}}(a,e,n),a.clear({color:t.Color.transparent});for(var c=0;c<i.length;c++){var u=i[c];if(!r.hasRenderableParent(u)){var f=r.getTile(u),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram("heatmap",p),m=e.transform.zoom;d.draw(a,o.TRIANGLES,At.disabled,s,l,Et.disabled,zr(u.posMatrix,f,m,n.paint.get("heatmap-intensity")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else"translucent"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(!a)return;n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA));o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram("heatmapTexture").draw(n,i.TRIANGLES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get("heatmap-opacity")}}(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}(e,n))},line:function(e,r,n,i){if("translucent"===e.renderPass){var a=n.paint.get("line-opacity"),o=n.paint.get("line-width");if(0!==a.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,At.ReadOnly),l=e.colorModeForRenderPass(),c=n.paint.get("line-dasharray"),u=n.paint.get("line-pattern"),f=u.constantOr(1),h=n.paint.get("line-gradient"),p=n.getCrossfadeParameters(),d=f?"linePattern":c?"lineSDF":h?"lineGradient":"line",m=e.context,g=m.gl,v=!0;if(h){m.activeTexture.set(g.TEXTURE0);var y=n.gradientTexture;if(!n.gradient)return;y||(y=n.gradientTexture=new t.Texture(m,n.gradient,g.RGBA)),y.bind(g.LINEAR,g.CLAMP_TO_EDGE)}for(var x=0,b=i;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!f||w.patternsLoaded()){var T=w.getBucket(n);if(T){var k=T.programConfigurations.get(n.id),A=e.context.program.get(),M=e.useProgram(d,k),S=v||M.program!==A,E=u.constantOr(null);if(E&&w.imageAtlas){var L=w.imageAtlas,C=L.patternPositions[E.to.toString()],P=L.patternPositions[E.from.toString()];C&&P&&k.setConstantPatternPositions(C,P)}var I=f?Br(e,w,n,p):c?Nr(e,w,n,c,p):h?Fr(e,w,n):Rr(e,w,n);f?(m.activeTexture.set(g.TEXTURE0),w.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),k.updatePaintBuffers(p)):c&&(S||e.lineAtlas.dirty)&&(m.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(m)),M.draw(m,g.TRIANGLES,s,e.stencilModeForClipping(_),l,Et.disabled,I,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,k),v=!1}}}}}},fill:function(e,r,n,i){var a=n.paint.get("fill-color"),o=n.paint.get("fill-opacity");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get("fill-pattern"),c=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?"opaque":"translucent";if(e.renderPass===c){var u=e.depthModeForSublayer(1,"opaque"===e.renderPass?At.ReadWrite:At.ReadOnly);an(e,r,n,i,u,s,!1)}if("translucent"===e.renderPass&&n.paint.get("fill-antialias")){var f=e.depthModeForSublayer(n.getPaintProperty("fill-outline-color")?2:0,At.ReadOnly);an(e,r,n,i,f,s,!0)}}},"fill-extrusion":function(t,e,r,n){var i=r.paint.get("fill-extrusion-opacity");if(0!==i&&"translucent"===t.renderPass){var a=new At(t.context.gl.LEQUAL,At.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get("fill-extrusion-pattern").constantOr(1))on(t,e,r,n,a,Mt.disabled,St.disabled),on(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();on(t,e,r,n,a,Mt.disabled,o)}}},hillshade:function(t,e,r,n){if("offscreen"===t.renderPass||"translucent"===t.renderPass){for(var i=t.context,a=e.getSource().maxzoom,o=t.depthModeForSublayer(0,At.ReadOnly),s=t.colorModeForRenderPass(),l="translucent"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],c=l[0],u=0,f=l[1];u<f.length;u+=1){var h=f[u],p=e.getTile(h);p.needsHillshadePrepare&&"offscreen"===t.renderPass?ln(t,p,r,a,o,Mt.disabled,s):"translucent"===t.renderPass&&sn(t,p,r,o,c[h.overscaledZ],s)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if("translucent"===t.renderPass&&0!==r.paint.get("raster-opacity")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram("raster"),l=t.colorModeForRenderPass(),c=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),u=c[0],f=c[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,m=f;d<m.length;d+=1){var g=m[d],v=t.depthModeForSublayer(g.overscaledZ-h,1===r.paint.get("raster-opacity")?At.ReadWrite:At.ReadOnly,a.LESS),y=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);y.registerFadeDuration(r.paint.get("raster-fade-duration"));var b=e.findLoadedParent(g,0),_=cn(y,b,e,r,t.transform),w=void 0,T=void 0,k="nearest"===r.paint.get("raster-resampling")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-y.tileID.overscaledZ),T=[y.tileID.canonical.x*w%1,y.tileID.canonical.y*w%1]):y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Vr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,v,Mt.disabled,l,Et.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,v,u[g.overscaledZ],l,Et.disabled,A,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get("background-color"),i=r.paint.get("background-opacity");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,c=r.paint.get("background-pattern");if(!t.isPatternMissing(c)){var u=!c&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?"opaque":"translucent";if(t.renderPass===u){var f=Mt.disabled,h=t.depthModeForSublayer(0,"opaque"===u?At.ReadWrite:At.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?"backgroundPattern":"background"),m=s.coveringTiles({tileSize:l});c&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),v=0,y=m;v<y.length;v+=1){var x=y[v],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=c?Xr(b,i,t,c,{tileID:x,tileSize:l},g):Zr(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Et.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)xn(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if("offscreen"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if("translucent"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Mt.disabled);var o="3d"===i.renderingMode?new At(t.context.gl.LEQUAL,At.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,At.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},_n=function(t,e){this.context=new Lt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ct.maxUnderzooming+Ct.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ne,this.gpuTimers={}};_n.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},_n.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,Ge.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,Ge.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,P.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,Ge.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Mt({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},_n.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram("clippingMask").draw(e,r.TRIANGLES,At.disabled,this.stencilClearMode,St.disabled,Et.disabled,Or(n),"$clipping",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},_n.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(At.disabled);var i=this.useProgram("clippingMask");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,At.disabled,new Mt({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),St.disabled,Et.disabled,Or(s.posMatrix),"$clipping",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},_n.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Mt({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Mt({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Mt({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Mt.disabled,e),n]},_n.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){return new St([e.CONSTANT_COLOR,e.ONE],new t.Color(1/8,1/8,1/8,0),[!0,!0,!0,!0])}return"opaque"===this.renderPass?St.unblended:St.alphaBlended},_n.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return At.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new At(r||this.context.gl.LEQUAL,e,[n,n])},_n.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},_n.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,c,u={},f={},h={};for(var p in a){var d=a[p];u[p]=d.getVisibleCoordinates(),f[p]=u[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var m=0;m<i.length;m++){var g=i[m];if(this.style._layers[g].is3D()){this.opaquePassCutoff=m;break}}this.renderPass="offscreen";for(var v=0,y=i;v<y.length;v+=1){var x=y[v],b=this.style._layers[x];if(b.hasOffscreenPass()&&!b.isHidden(this.transform.zoom)){var _=f[b.source];("custom"===b.type||_.length)&&this.renderLayer(this,a[b.source],b,_)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass="opaque",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=u[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass="translucent",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=("symbol"===A.type?h:f)[A.source];this._renderTileClippingMasks(A,u[A.source]),this.renderLayer(this,M,A,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(c&&c.id)&&(c=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<c.getSource().maxzoom)&&(l=c))})),l&&bn.debug(this,l,l.getVisibleCoordinates()));this.options.showPadding&&mn(this),this.context.setDefault()},_n.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||("background"===r.type||"custom"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),bn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},_n.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},_n.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},_n.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},_n.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},_n.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?"map"===i?this.transform.angle:0:"viewport"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var c=[a?n[0]:pe(r,n[0],this.transform.zoom),a?n[1]:pe(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},_n.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},_n.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},_n.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},_n.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=""+t+(e?e.cacheKey:"")+(this._showOverdrawInspector?"/overdraw":"");return this.cache[r]||(this.cache[r]=new _r(this.context,xr[t],e,Jr[t],this._showOverdrawInspector)),this.cache[r]},_n.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},_n.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},_n.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement("canvas"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},_n.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var wn=function(t,e){this.points=t,this.planes=e};wn.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new wn(a,o)};var Tn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Tn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new Tn(n,i)},Tn.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},Tn.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},Tn.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var c=Number.MAX_VALUE,u=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];c=Math.min(c,h),u=Math.max(u,h)}if(u<0||c>this.max[l]-this.min[l])return 0}return 1};var kn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error("Invalid value for edge-insets, top, bottom, left and right must all be numbers");this.top=t,this.bottom=e,this.left=r,this.right=n};kn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},kn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},kn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},kn.prototype.clone=function(){return new kn(this.top,this.bottom,this.left,this.right)},kn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var An=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new kn,this._posMatrixCache={},this._alignedPosMatrixCache={}},Mn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};An.prototype.clone=function(){var t=new An(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Mn.minZoom.get=function(){return this._minZoom},Mn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Mn.maxZoom.get=function(){return this._maxZoom},Mn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Mn.minPitch.get=function(){return this._minPitch},Mn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Mn.maxPitch.get=function(){return this._maxPitch},Mn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Mn.renderWorldCopies.get=function(){return this._renderWorldCopies},Mn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Mn.worldSize.get=function(){return this.tileSize*this.scale},Mn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Mn.size.get=function(){return new t.Point(this.width,this.height)},Mn.bearing.get=function(){return-this.angle/Math.PI*180},Mn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Mn.pitch.get=function(){return this._pitch/Math.PI*180},Mn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Mn.fov.get=function(){return this._fov/Math.PI*180},Mn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},Mn.zoom.get=function(){return this._zoom},Mn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},Mn.center.get=function(){return this._center},Mn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Mn.padding.get=function(){return this._edgeInsets.toJSON()},Mn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Mn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},An.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},An.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},An.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},An.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},An.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=wn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var c=function(t){return{aabb:new Tn([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},u=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)u.push(c(-d)),u.push(c(d));for(u.push(c(0));u.length>0;){var m=u.pop(),g=m.x,v=m.y,y=m.fullyVisible;if(!y){var x=m.aabb.intersects(s);if(0===x)continue;y=2===x}var b=m.aabb.distanceX(o),_=m.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-m.zoom)-2;if(m.zoom===h||w>T&&m.zoom>=l)f.push({tileID:new t.OverscaledTileID(m.zoom===h?p:m.zoom,m.wrap,m.zoom,g,v),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-v])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(v<<1)+(k>>1);u.push({aabb:m.aabb.quadrant(k),zoom:m.zoom+1,x:A,y:M,wrap:m.wrap,fullyVisible:y})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},An.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Mn.unmodified.get=function(){return this._unmodified},An.prototype.zoomScale=function(t){return Math.pow(2,t)},An.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},An.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},An.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Mn.point.get=function(){return this.project(this.center)},An.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},An.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},An.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},An.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},An.prototype.coordinateLocation=function(t){return t.toLngLat()},An.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,c=n[1]/a,u=r[2]/i,f=n[2]/a,h=u===f?0:(0-u)/(f-u);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,c,h)/this.worldSize)},An.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},An.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},An.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},An.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},An.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},An.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},An.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<c.y?c.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<c.x?c.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var m=p.y,g=c.y/2;m-g<a&&(i=a+g),m+g>o&&(i=o-g)}if(this.lngRange){var v=p.x,y=c.x/2;v-y<s&&(n=s+y),v+y>l&&(n=l-y)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=u,this._constraining=!1}},An.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,c=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),u=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,u,c),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),m=Math.sin(this.angle),g=s-Math.round(s)+d*h+m*p,v=l-Math.round(l)+d*p+m*h,y=new Float64Array(f);if(t.translate(y,y,[g>.5?g-1:g,v>.5?v-1:v,0]),this.alignedProjMatrix=y,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error("failed to invert matrix");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},An.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},An.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},An.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(An.prototype,Mn);var Sn=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll(["_getCurrentHash","_onHashChange","_updateHash"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};Sn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener("hashchange",this._onHashChange,!1),this._map.on("moveend",this._updateHash),this},Sn.prototype.remove=function(){return t.window.removeEventListener("hashchange",this._onHashChange,!1),this._map.off("moveend",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},Sn.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),c=this._map.getPitch(),u="";if(u+=e?"/"+o+"/"+s+"/"+n:n+"/"+s+"/"+o,(l||c)&&(u+="/"+Math.round(10*l)/10),c&&(u+="/"+Math.round(c)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split("&").map((function(t){var e=t.split("=")[0];return e===f?(h=!0,e+"="+u):t})).filter((function(t){return t}));return h||p.push(f+"="+u),"#"+p.join("&")}return"#"+u},Sn.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace("#","");return this._hashName?(n.split("&").map((function(t){return t.split("=")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||"").split("/")):n.split("/")},Sn.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},Sn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,"",e)}catch(t){}};var En={linearity:.3,easing:t.bezier(0,0,.3,1)},Ln=t.extend({deceleration:2500,maxSpeed:1400},En),Cn=t.extend({deceleration:20,maxSpeed:1400},En),Pn=t.extend({deceleration:1e3,maxSpeed:360},En),In=t.extend({deceleration:1e3,maxSpeed:90},En),On=function(t){this._map=t,this.clear()};function zn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Dn(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}On.prototype.clear=function(){this._inertiaBuffer=[]},On.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},On.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},On.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Dn(r.pan.mag(),o,t.extend({},Ln,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,zn(s,l)}if(r.zoom){var c=Dn(r.zoom,o,Cn);s.zoom=this._map.transform.zoom+c.amount,zn(s,c)}if(r.bearing){var u=Dn(r.bearing,o,Pn);s.bearing=this._map.transform.bearing+t.clamp(u.amount,-179,179),zn(s,u)}if(r.pitch){var f=Dn(r.pitch,o,In);s.pitch=this._map.transform.pitch+f.amount,zn(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Rn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Fn=function(e){function n(n,i,a){var o="touchend"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),c=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),u=i.unproject(c);e.call(this,n,{points:s,point:c,lngLats:l,lngLat:u,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Bn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Nn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Nn.prototype.reset=function(){delete this._mousedownPos},Nn.prototype.wheel=function(t){return this._firePreventable(new Bn(t.type,this._map,t))},Nn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseup=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.dblclick=function(t){return this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseover=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.mouseout=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.touchstart=function(t){return this._firePreventable(new Fn(t.type,this._map,t))},Nn.prototype.touchmove=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchend=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchcancel=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Nn.prototype.isEnabled=function(){return!0},Nn.prototype.isActive=function(){return!1},Nn.prototype.enable=function(){},Nn.prototype.disable=function(){};var jn=function(t){this._map=t};jn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},jn.prototype.mousemove=function(t){this._map.fire(new Rn(t.type,this._map,t))},jn.prototype.mousedown=function(){this._delayContextMenu=!0},jn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Rn("contextmenu",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},jn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Rn(t.type,this._map,t)),this._map.listens("contextmenu")&&t.preventDefault()},jn.prototype.isEnabled=function(){return!0},jn.prototype.isActive=function(){return!1},jn.prototype.enable=function(){},jn.prototype.disable=function(){};var Un=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Vn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Un.prototype.isEnabled=function(){return!!this._enabled},Un.prototype.isActive=function(){return!!this._active},Un.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Un.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Un.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Un.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create("div","mapboxgl-boxzoom",this._container),this._container.classList.add("mapboxgl-crosshair"),this._fireEvent("boxzoomstart",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,"translate("+a+"px,"+s+"px)"),this._box.style.width=o-a+"px",this._box.style.height=l-s+"px"}}},Un.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event("boxzoomend",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent("boxzoomcancel",e)}},Un.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent("boxzoomcancel",t))},Un.prototype.reset=function(){this._active=!1,this._container.classList.remove("mapboxgl-crosshair"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Un.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Hn=function(t){this.reset(),this.numTouches=t.numTouches};Hn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Hn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=Vn(n,r)))},Hn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Vn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Hn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var qn=function(t){this.singleTap=new Hn(t),this.numTaps=t.numTaps,this.reset()};qn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},qn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},qn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},qn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Gn=function(){this._zoomIn=new qn({numTouches:1,numTaps:2}),this._zoomOut=new qn({numTouches:2,numTaps:1}),this.reset()};Gn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Gn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Gn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Gn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Gn.prototype.touchcancel=function(){this.reset()},Gn.prototype.enable=function(){this._enabled=!0},Gn.prototype.disable=function(){this._enabled=!1,this.reset()},Gn.prototype.isEnabled=function(){return this._enabled},Gn.prototype.isActive=function(){return this._active};var Yn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Yn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Yn.prototype._correctButton=function(t,e){return!1},Yn.prototype._move=function(t,e){return{}},Yn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Yn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Yn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Yn.prototype.enable=function(){this._enabled=!0},Yn.prototype.disable=function(){this._enabled=!1,this.reset()},Yn.prototype.isEnabled=function(){return this._enabled},Yn.prototype.isActive=function(){return this._active};var Wn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Yn),Zn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Xn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Jn=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};Jn.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},Jn.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},Jn.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},Jn.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Vn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var c=i[l],u=this._touches[l];u&&(a._add(c),o._add(c.sub(u)),s++,i[l]=c)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var Kn=function(){this.reset()};function Qn(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}Kn.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},Kn.prototype._start=function(t){},Kn.prototype._move=function(t,e,r){return{}},Kn.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},Kn.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=Qn(r,e,i),s=Qn(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},Kn.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=Qn(n,e,a),l=Qn(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},Kn.prototype.touchcancel=function(){this.reset()},Kn.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&"center"===t.around},Kn.prototype.disable=function(){this._enabled=!1,this.reset()},Kn.prototype.isEnabled=function(){return this._enabled},Kn.prototype.isActive=function(){return this._active};function $n(t,e){return Math.log(t/e)/Math.LN2}var ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs($n(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:$n(this._distance,r),pinchAround:e}},e}(Kn);function ei(t,e){return 180*t.angleWith(e)/Math.PI}var ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:ei(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=ei(t,this._startVector);return Math.abs(r)<e},e}(Kn);function ni(t){return Math.abs(t.y)>Math.abs(t.x)}var ii=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ni(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid){this._lastPoints=t,this._active=!0;return{pitchDelta:-.5*((n.y+i.y)/2)}}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ni(t)&&ni(e)&&a}},e}(Kn),ai={panStep:100,bearingStep:15,pitchStep:10},oi=function(){var t=ai;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function si(t){return t*(2-t)}oi.prototype.reset=function(){this._active=!1},oi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:"keyboardHandler",easing:si,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},oi.prototype.enable=function(){this._enabled=!0},oi.prototype.disable=function(){this._enabled=!1,this.reset()},oi.prototype.isEnabled=function(){return this._enabled},oi.prototype.isActive=function(){return this._active};var li=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll(["_onWheel","_onTimeout","_onScrollFrame","_onScrollFinished"],this)};li.prototype.setZoomRate=function(t){this._defaultZoomRate=t},li.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},li.prototype.isEnabled=function(){return!!this._enabled},li.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},li.prototype.isZooming=function(){return!!this._zooming},li.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&"center"===t.around)},li.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},li.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%4.000244140625==0?this._type="wheel":0!==r&&Math.abs(r)<4?this._type="trackpad":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?"trackpad":"wheel",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},li.prototype._onTimeout=function(t){this._type="wheel",this._delta-=this._lastValue,this._active||this._start(t)},li.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},li.prototype.renderFrame=function(){return this._onScrollFrame()},li.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n="wheel"===this._type&&Math.abs(this._delta)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a="number"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),"wheel"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s="number"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,c=this._easing,u=!1;if("wheel"===this._type&&l&&c){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=c(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},li.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},li.prototype.reset=function(){this._active=!1};var ci=function(t,e){this._clickZoom=t,this._tapZoom=e};ci.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},ci.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},ci.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},ci.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var ui=function(){this.reset()};ui.prototype.reset=function(){this._active=!1},ui.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},ui.prototype.enable=function(){this._enabled=!0},ui.prototype.disable=function(){this._enabled=!1,this.reset()},ui.prototype.isEnabled=function(){return this._enabled},ui.prototype.isActive=function(){return this._active};var fi=function(){this._tap=new qn({numTouches:1,numTaps:1}),this.reset()};fi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},fi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},fi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},fi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},fi.prototype.touchcancel=function(){this.reset()},fi.prototype.enable=function(){this._enabled=!0},fi.prototype.disable=function(){this._enabled=!1,this.reset()},fi.prototype.isEnabled=function(){return this._enabled},fi.prototype.isActive=function(){return this._active};var hi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};hi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add("mapboxgl-touch-drag-pan")},hi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove("mapboxgl-touch-drag-pan")},hi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},hi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var pi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};pi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},pi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},pi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},pi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var di=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};di.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add("mapboxgl-touch-zoom-rotate")},di.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove("mapboxgl-touch-zoom-rotate")},di.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},di.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},di.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},di.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var mi=function(t){return t.zoom||t.drag||t.pitch||t.rotate},gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function vi(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var yi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new On(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll(["handleEvent","handleWindowEvent"],this);var i=this._el;this._listeners=[[i,"touchstart",{passive:!1}],[i,"touchmove",{passive:!1}],[i,"touchend",void 0],[i,"touchcancel",void 0],[i,"mousedown",void 0],[i,"mousemove",void 0],[i,"mouseup",void 0],[t.window.document,"mousemove",{capture:!0}],[t.window.document,"mouseup",void 0],[i,"mouseover",void 0],[i,"mouseout",void 0],[i,"dblclick",void 0],[i,"click",void 0],[i,"keydown",{capture:!1}],[i,"keyup",void 0],[i,"wheel",{passive:!1}],[i,"contextmenu",void 0],[t.window,"blur",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1],u=s[2];r.addEventListener(l,c,l===t.window.document?this.handleWindowEvent:this.handleEvent,u)}};yi.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},yi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add("mapEvent",new Nn(e,t));var n=e.boxZoom=new Un(e,t);this._add("boxZoom",n);var i=new Gn,a=new ui;e.doubleClickZoom=new ci(a,i),this._add("tapZoom",i),this._add("clickZoom",a);var o=new fi;this._add("tapDragZoom",o);var s=e.touchPitch=new ii;this._add("touchPitch",s);var l=new Zn(t),c=new Xn(t);e.dragRotate=new pi(t,l,c),this._add("mouseRotate",l,["mousePitch"]),this._add("mousePitch",c,["mouseRotate"]);var u=new Wn(t),f=new Jn(t);e.dragPan=new hi(r,u,f),this._add("mousePan",u),this._add("touchPan",f,["touchZoom","touchRotate"]);var h=new ri,p=new ti;e.touchZoomRotate=new di(r,p,h,o),this._add("touchRotate",h,["touchPan","touchZoom"]),this._add("touchZoom",p,["touchPan","touchRotate"]);var d=e.scrollZoom=new li(e,this);this._add("scrollZoom",d,["mousePan"]);var m=e.keyboard=new oi;this._add("keyboard",m),this._add("blockableMapEvent",new jn(e));for(var g=0,v=["boxZoom","doubleClickZoom","tapDragZoom","touchPitch","dragRotate","dragPan","touchZoomRotate","scrollZoom","keyboard"];g<v.length;g+=1){var y=v[g];t.interactive&&t[y]&&e[y].enable(t[y])}},yi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},yi.prototype.stop=function(){if(!this._updatingCamera){for(var t=0,e=this._handlers;t<e.length;t+=1){e[t].handler.reset()}this._inertia.clear(),this._fireEvents({},{}),this._changes=[]}},yi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1){if(e[t].handler.isActive())return!0}return!1},yi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},yi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},yi.prototype.isMoving=function(){return Boolean(mi(this._eventsInProgress))||this.isZooming()},yi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},yi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+"Window")},yi.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},yi.prototype.handleEvent=function(t,e){if("blur"!==t.type){this._updatingCamera=!0;for(var n="renderFrame"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),c=0,u=this._handlers;c<u.length;c+=1){var f=u[c],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var m=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(m=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,m,h,n),m&&m.needsRenderFrame&&this._triggerRenderFrame()),(m||p.isActive())&&(o[h]=p)}}var g={};for(var v in this._previousActiveHandlers)o[v]||(g[v]=n);this._previousActiveHandlers=o,(Object.keys(g).length||vi(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||vi(i))&&this._map._stop(!0),this._updatingCamera=!1;var y=i.cameraAnimation;y&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],y(this._map))}else this.stop()},yi.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},yi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],c=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,c)}this._updateMapTransform(e,r,n),this._changes=[]},yi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!vi(t))return this._fireEvents(e,r);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,c=t.around,u=t.pinchAround;void 0!==u&&(c=u),n._stop(!0),c=c||n.transform.centerPoint;var f=i.pointLocation(a?c.sub(a):c);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,c),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},yi.prototype._fireEvents=function(e,r){var n=this,i=mi(this._eventsInProgress),a=mi(e),o={};for(var s in e){var l=e[s].originalEvent;this._eventsInProgress[s]||(o[s+"start"]=l),this._eventsInProgress[s]=e[s]}for(var c in!i&&a&&this._fireEvent("movestart",a.originalEvent),o)this._fireEvent(c,o[c]);for(var u in e.rotate&&(this._bearingChanged=!0),a&&this._fireEvent("move",a.originalEvent),e){var f=e[u].originalEvent;this._fireEvent(u,f)}var h,p={};for(var d in this._eventsInProgress){var m=this._eventsInProgress[d],g=m.handlerName,v=m.originalEvent;this._handlersById[g].isActive()||(delete this._eventsInProgress[d],h=r[g]||v,p[d+"end"]=h)}for(var y in p)this._fireEvent(y,p[y]);var x=mi(this._eventsInProgress);if((i||a)&&!x){this._updatingCamera=!0;var b=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),_=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};b?(_(b.bearing||this._map.getBearing())&&(b.bearing=0),this._map.easeTo(b,{originalEvent:h})):(this._map.fire(new t.Event("moveend",{originalEvent:h})),_(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},yi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},yi.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new gi("renderFrame",{timeStamp:e})),t._applyChanges()})))};var xi=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll(["_renderFrameCallback"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if("number"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,c=s.project(t.LngLat.convert(e)),u=s.project(t.LngLat.convert(r)),f=c.rotate(-n*Math.PI/180),h=u.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),m=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/m.x,v=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/m.y;if(!(v<0||g<0)){var y=Math.min(s.scaleZoom(s.scale*Math.min(g,v)),i.maxZoom),x=t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(x.x+b,x.y+_).mult(s.scale/s.zoomScale(y));return{center:s.unproject(c.add(u).div(2).sub(w)),zoom:y,bearing:n}}t.warnOnce("Map cannot fit within canvas with the given bounds, padding, and/or offset.")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return"zoom"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),"bearing"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),"pitch"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event("movestart",r)).fire(new t.Event("move",r)),i&&this.fire(new t.Event("zoomstart",r)).fire(new t.Event("zoom",r)).fire(new t.Event("zoomend",r)),a&&this.fire(new t.Event("rotatestart",r)).fire(new t.Event("rotate",r)).fire(new t.Event("rotateend",r)),o&&this.fire(new t.Event("pitchstart",r)).fire(new t.Event("pitch",r)).fire(new t.Event("pitchend",r)),this.fire(new t.Event("moveend",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),c="zoom"in e?+e.zoom:a,u="bearing"in e?this._normalizeBearing(e.bearing,o):o,f="pitch"in e?+e.pitch:s,h="padding"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),m=i.pointLocation(d),g=t.LngLat.convert(e.center||m);this._normalizeCenter(g);var v,y,x=i.project(m),b=i.project(g).sub(x),_=i.zoomScale(c-a);e.around&&(v=t.LngLat.convert(e.around),y=i.locationPoint(v));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||c!==a,this._rotating=this._rotating||o!==u,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,c,e)),n._rotating&&(i.bearing=t.number(o,u,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),v)i.setLocationAtPoint(v,y);else{var m=i.zoomScale(i.zoom-a),g=c>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(m));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event("movestart",e)),this._zooming&&!n.zooming&&this.fire(new t.Event("zoomstart",e)),this._rotating&&!n.rotating&&this.fire(new t.Event("rotatestart",e)),this._pitching&&!n.pitching&&this.fire(new t.Event("pitchstart",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event("move",e)),this._zooming&&this.fire(new t.Event("zoom",e)),this._rotating&&this.fire(new t.Event("rotate",e)),this._pitching&&this.fire(new t.Event("pitch",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event("zoomend",e)),i&&this.fire(new t.Event("rotateend",e)),a&&this.fire(new t.Event("pitchend",e)),this.fire(new t.Event("moveend",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,["center","zoom","bearing","pitch","around"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u="zoom"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f="bearing"in e?this._normalizeBearing(e.bearing,s):s,h="pitch"in e?+e.pitch:l,p="padding"in e?e.padding:a.padding,d=a.zoomScale(u-o),m=t.Point.convert(e.offset),g=a.centerPoint.add(m),v=a.pointLocation(g),y=t.LngLat.convert(e.center||v);this._normalizeCenter(y);var x=a.project(v),b=a.project(y).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if("minZoom"in e){var A=t.clamp(Math.min(e.minZoom,o,u),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),I=function(t){return C(P)/C(P+_*t)},O=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},z=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(z)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=T<w?-1:1;z=Math.abs(Math.log(T/w))/_,O=function(){return 0},I=function(t){return Math.exp(D*_*t)}}if("duration"in e)e.duration=+e.duration;else{var R="screenSpeed"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*z/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*z,d=1/I(i);a.zoom=1===e?u:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(c,p,e),g=a.centerPoint.add(m));var v=1===e?y:a.unproject(x.add(b.mult(O(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?v.wrap():v,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),bi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll(["_updateEditLink","_updateData","_updateCompact"],this)};bi.prototype.getDefaultPosition=function(){return"bottom-right"},bi.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-attrib"),this._innerContainer=r.create("div","mapboxgl-ctrl-attrib-inner",this._container),e&&this._container.classList.add("mapboxgl-compact"),this._updateAttributions(),this._updateEditLink(),this._map.on("styledata",this._updateData),this._map.on("sourcedata",this._updateData),this._map.on("moveend",this._updateEditLink),void 0===e&&(this._map.on("resize",this._updateCompact),this._updateCompact()),this._container},bi.prototype.onRemove=function(){r.remove(this._container),this._map.off("styledata",this._updateData),this._map.off("sourcedata",this._updateData),this._map.off("moveend",this._updateEditLink),this._map.off("resize",this._updateCompact),this._map=void 0,this._attribHTML=void 0},bi.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(".mapbox-improve-map"));var r=[{key:"owner",value:this.styleOwner},{key:"id",value:this.styleId},{key:"access_token",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+"="+e.value+(n<r.length-1?"&":"")),t}),"?");e.href=t.config.FEEDBACK_URL+"/"+n+(this._map._hash?this._map._hash.getHashString(!0):""),e.rel="noopener nofollow"}},bi.prototype._updateData=function(t){!t||"metadata"!==t.sourceDataType&&"style"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},bi.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return"string"!=typeof t?"":t}))):"string"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(" | ");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove("mapboxgl-attrib-empty")):this._container.classList.add("mapboxgl-attrib-empty"),this._editLink=null)}},bi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add("mapboxgl-compact"):this._container.classList.remove("mapboxgl-compact")};var _i=function(){t.bindAll(["_updateLogo"],this),t.bindAll(["_updateCompact"],this)};_i.prototype.onAdd=function(t){this._map=t,this._container=r.create("div","mapboxgl-ctrl");var e=r.create("a","mapboxgl-ctrl-logo");return e.target="_blank",e.rel="noopener nofollow",e.href="https://www.mapbox.com/",e.setAttribute("aria-label",this._map._getUIString("LogoControl.Title")),e.setAttribute("rel","noopener nofollow"),this._container.appendChild(e),this._container.style.display="none",this._map.on("sourcedata",this._updateLogo),this._updateLogo(),this._map.on("resize",this._updateCompact),this._updateCompact(),this._container},_i.prototype.onRemove=function(){r.remove(this._container),this._map.off("sourcedata",this._updateLogo),this._map.off("resize",this._updateCompact)},_i.prototype.getDefaultPosition=function(){return"bottom-left"},_i.prototype._updateLogo=function(t){t&&"metadata"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?"block":"none")},_i.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t){if(t[e].getSource().mapbox_logo)return!0}return!1}},_i.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add("mapboxgl-compact"):e.classList.remove("mapboxgl-compact")}};var wi=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};wi.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},wi.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},wi.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},wi.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Ti={"FullscreenControl.Enter":"Enter fullscreen","FullscreenControl.Exit":"Exit fullscreen","GeolocateControl.FindMyLocation":"Find my location","GeolocateControl.LocationNotAvailable":"Location not available","LogoControl.Title":"Mapbox logo","NavigationControl.ResetBearing":"Reset bearing to north","NavigationControl.ZoomIn":"Zoom in","NavigationControl.ZoomOut":"Zoom out","ScaleControl.Feet":"ft","ScaleControl.Meters":"m","ScaleControl.Kilometers":"km","ScaleControl.Miles":"mi","ScaleControl.NauticalMiles":"nm"},ki=t.window.HTMLImageElement,Ai=t.window.HTMLElement,Mi=t.window.ImageBitmap,Si={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:60,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:"sans-serif",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Ei=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Si,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error("maxZoom must be greater than or equal to minZoom");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error("maxPitch must be greater than or equal to minPitch");if(null!=e.minPitch&&e.minPitch<0)throw new Error("minPitch must be greater than or equal to 0");if(null!=e.maxPitch&&e.maxPitch>60)throw new Error("maxPitch must be less than or equal to 60");var i=new An(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new wi,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Ti,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),"string"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error("Container '"+e.container+"' not found.")}else{if(!(e.container instanceof Ai))throw new Error("Invalid type: 'container' must be a String or HTMLElement.");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll(["_onWindowOnline","_onWindowResize","_contextLost","_contextRestored"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error("Failed to initialize WebGL.");this.on("move",(function(){return r._update(!1)})),this.on("moveend",(function(){return r._update(!1)})),this.on("zoom",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener("online",this._onWindowOnline,!1),t.window.addEventListener("resize",this._onWindowResize,!1)),this.handlers=new yi(this,e);var a="string"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new Sn(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new bi({customAttribution:e.customAttribution})),this.addControl(new _i,e.logoPosition),this.on("style.load",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on("data",(function(e){r._update("style"===e.dataType),r.fire(new t.Event(e.dataType+"data",e))})),this.on("dataloading",(function(e){r.fire(new t.Event(e.dataType+"dataloading",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r="top-right"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf("bottom")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event("movestart",e)).fire(new t.Event("move",e))),this.fire(new t.Event("resize",e)),a&&this.fire(new t.Event("moveend",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error("minZoom must be between -2 and the current maxZoom, inclusive")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error("maxZoom must be greater than the current minZoom")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error("minPitch must be greater than or equal to 0");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error("minPitch must be between 0 and the current maxPitch, inclusive")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?60:t)>60)throw new Error("maxPitch must be less than or equal to 60");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error("maxPitch must be greater than the current minPitch")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if("mouseenter"===t||"mouseover"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Rn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if("mouseleave"===t||"mouseout"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Rn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Rn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||"number"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error("Missing UI string '"+t+"'");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new qe(this,e||{}),this.style.setEventedParent(this,{style:this.style}),"string"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new qe(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if("string"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else"object"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce("Unable to perform style diff: "+(n.message||n.error||n)+".  Rebuilding the style from scratch."),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce("There is no style added to the map.")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error("There is no source with ID '"+e+"'")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if("loaded"!==i.state&&"errored"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof ki||Mi&&r instanceof Mi){var c=t.browser.getImageData(r),u=c.width,f=c.height,h=c.data;this.style.addImage(e,{data:new t.RGBAImage({width:u,height:f},h),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error("Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`")));var p=r.width,d=r.height,m=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(m)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error("The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.")));var i=r instanceof ki||Mi&&r instanceof Mi?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error("Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error("The width and height of the updated image must be that same as the previous version of the image")));var l=!(r instanceof ki||Mi&&r instanceof Mi);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error("Missing required image id"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){"rgb(250, 128, 114)"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue("background-color")&&t.warnOnce("This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add("mapboxgl-map"),(this._missingCSSCanary=r.create("div","mapboxgl-canary",t)).style.visibility="hidden",this._detectMissingCSS();var e=this._canvasContainer=r.create("div","mapboxgl-canvas-container",t);this._interactive&&e.classList.add("mapboxgl-interactive"),this._canvas=r.create("canvas","mapboxgl-canvas",e),this._canvas.addEventListener("webglcontextlost",this._contextLost,!1),this._canvas.addEventListener("webglcontextrestored",this._contextRestored,!1),this._canvas.setAttribute("tabindex","0"),this._canvas.setAttribute("aria-label","Map");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create("div","mapboxgl-control-container",t),a=this._controlPositions={};["top-left","top-right","bottom-left","bottom-right"].forEach((function(t){a[t]=r.create("div","mapboxgl-ctrl-"+t,i)}))},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+"px",this._canvas.style.height=r+"px"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext("webgl",r)||this._canvas.getContext("experimental-webgl",r);n?(this.painter=new _n(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error("Failed to initialize WebGL")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event("webglcontextlost",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event("webglcontextrestored",{originalEvent:e}))},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens("gpu-timing-frame")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var c=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),u=c.crossFadingFactor();1===u&&u===this._crossFadingFactor||(o=!0,this._crossFadingFactor=u),this.style.update(c)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens("gpu-timing-layer")}),this.fire(new t.Event("render")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event("load"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens("gpu-timing-frame")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event("gpu-timing-frame",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens("gpu-timing-layer")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event("gpu-timing-layer",{layerTimes:e}))}),50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event("idle"))),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1){r[e].onRemove(this)}this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener("resize",this._onWindowResize,!1),t.window.removeEventListener("online",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension("WEBGL_lose_context");n&&n.loseContext(),Li(this._canvasContainer),Li(this._controlContainer),Li(this._missingCSSCanary),this._container.classList.remove("mapboxgl-map"),this._removed=!0,this.fire(new t.Event("remove"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(xi);function Li(t){t.parentNode&&t.parentNode.removeChild(t)}var Ci={showCompass:!0,showZoom:!0,visualizePitch:!1},Pi=function(e){var n=this;this.options=t.extend({},Ci,e),this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),this._container.addEventListener("contextmenu",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll(["_setButtonTitle","_updateZoomButtons"],this),this._zoomInButton=this._createButton("mapboxgl-ctrl-zoom-in",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create("span","mapboxgl-ctrl-icon",this._zoomInButton).setAttribute("aria-hidden",!0),this._zoomOutButton=this._createButton("mapboxgl-ctrl-zoom-out",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create("span","mapboxgl-ctrl-icon",this._zoomOutButton).setAttribute("aria-hidden",!0)),this.options.showCompass&&(t.bindAll(["_rotateCompassArrow"],this),this._compass=this._createButton("mapboxgl-ctrl-compass",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create("span","mapboxgl-ctrl-icon",this._compass),this._compassIcon.setAttribute("aria-hidden",!0))};Pi.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},Pi.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?"scale("+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+") rotateX("+this._map.transform.pitch+"deg) rotateZ("+this._map.transform.angle*(180/Math.PI)+"deg)":"rotate("+this._map.transform.angle*(180/Math.PI)+"deg)";this._compassIcon.style.transform=t},Pi.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,"ZoomIn"),this._setButtonTitle(this._zoomOutButton,"ZoomOut"),this._map.on("zoom",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,"ResetBearing"),this.options.visualizePitch&&this._map.on("pitch",this._rotateCompassArrow),this._map.on("rotate",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ii(this._map,this._compass,this.options.visualizePitch)),this._container},Pi.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off("zoom",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off("pitch",this._rotateCompassArrow),this._map.off("rotate",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},Pi.prototype._createButton=function(t,e){var n=r.create("button",t,this._container);return n.type="button",n.addEventListener("click",e),n},Pi.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString("NavigationControl."+e);t.title=r,t.setAttribute("aria-label",r)};var Ii=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Zn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new Xn({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll(["mousedown","mousemove","mouseup","touchstart","touchmove","touchend","reset"],this),r.addEventListener(n,"mousedown",this.mousedown),r.addEventListener(n,"touchstart",this.touchstart,{passive:!1}),r.addEventListener(n,"touchmove",this.touchmove),r.addEventListener(n,"touchend",this.touchend),r.addEventListener(n,"touchcancel",this.reset)};function Oi(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ii.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ii.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ii.prototype.off=function(){var t=this.element;r.removeEventListener(t,"mousedown",this.mousedown),r.removeEventListener(t,"touchstart",this.touchstart,{passive:!1}),r.removeEventListener(t,"touchmove",this.touchmove),r.removeEventListener(t,"touchend",this.touchend),r.removeEventListener(t,"touchcancel",this.reset),this.offTemp()},Ii.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,"mousemove",this.mousemove),r.removeEventListener(t.window,"mouseup",this.mouseup)},Ii.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,"mousemove",this.mousemove),r.addEventListener(t.window,"mouseup",this.mouseup)},Ii.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ii.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ii.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:"mousedown",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ii.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ii.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ii.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var zi={center:"translate(-50%,-50%)",top:"translate(-50%,0)","top-left":"translate(0,0)","top-right":"translate(-100%,0)",bottom:"translate(-50%,-100%)","bottom-left":"translate(0,-100%)","bottom-right":"translate(-100%,-100%)",left:"translate(0,-50%)",right:"translate(-100%,-50%)"};function Di(t,e,r){var n=t.classList;for(var i in zi)n.remove("mapboxgl-"+r+"-anchor-"+i);n.add("mapboxgl-"+r+"-anchor-"+e)}var Ri,Fi=function(e){function n(n,i){var a=this;if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll(["_update","_onMove","_onUp","_addDragHandler","_onMapClick","_onKeyPress"],this),this._anchor=n&&n.anchor||"center",this._color=n&&n.color||"#3FB1CE",this._draggable=n&&n.draggable||!1,this._state="inactive",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||"auto",this._pitchAlignment=n&&n.pitchAlignment&&"auto"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create("div"),this._element.setAttribute("aria-label","Map marker");var o=r.createNS("http://www.w3.org/2000/svg","svg");o.setAttributeNS(null,"display","block"),o.setAttributeNS(null,"height","41px"),o.setAttributeNS(null,"width","27px"),o.setAttributeNS(null,"viewBox","0 0 27 41");var s=r.createNS("http://www.w3.org/2000/svg","g");s.setAttributeNS(null,"stroke","none"),s.setAttributeNS(null,"stroke-width","1"),s.setAttributeNS(null,"fill","none"),s.setAttributeNS(null,"fill-rule","evenodd");var l=r.createNS("http://www.w3.org/2000/svg","g");l.setAttributeNS(null,"fill-rule","nonzero");var c=r.createNS("http://www.w3.org/2000/svg","g");c.setAttributeNS(null,"transform","translate(3.0, 29.0)"),c.setAttributeNS(null,"fill","#000000");for(var u=0,f=[{rx:"10.5",ry:"5.25002273"},{rx:"10.5",ry:"5.25002273"},{rx:"9.5",ry:"4.77275007"},{rx:"8.5",ry:"4.29549936"},{rx:"7.5",ry:"3.81822308"},{rx:"6.5",ry:"3.34094679"},{rx:"5.5",ry:"2.86367051"},{rx:"4.5",ry:"2.38636864"}];u<f.length;u+=1){var h=f[u],p=r.createNS("http://www.w3.org/2000/svg","ellipse");p.setAttributeNS(null,"opacity","0.04"),p.setAttributeNS(null,"cx","10.5"),p.setAttributeNS(null,"cy","5.80029008"),p.setAttributeNS(null,"rx",h.rx),p.setAttributeNS(null,"ry",h.ry),c.appendChild(p)}var d=r.createNS("http://www.w3.org/2000/svg","g");d.setAttributeNS(null,"fill",this._color);var m=r.createNS("http://www.w3.org/2000/svg","path");m.setAttributeNS(null,"d","M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z"),d.appendChild(m);var g=r.createNS("http://www.w3.org/2000/svg","g");g.setAttributeNS(null,"opacity","0.25"),g.setAttributeNS(null,"fill","#000000");var v=r.createNS("http://www.w3.org/2000/svg","path");v.setAttributeNS(null,"d","M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z"),g.appendChild(v);var y=r.createNS("http://www.w3.org/2000/svg","g");y.setAttributeNS(null,"transform","translate(6.0, 7.0)"),y.setAttributeNS(null,"fill","#FFFFFF");var x=r.createNS("http://www.w3.org/2000/svg","g");x.setAttributeNS(null,"transform","translate(8.0, 8.0)");var b=r.createNS("http://www.w3.org/2000/svg","circle");b.setAttributeNS(null,"fill","#000000"),b.setAttributeNS(null,"opacity","0.25"),b.setAttributeNS(null,"cx","5.5"),b.setAttributeNS(null,"cy","5.5"),b.setAttributeNS(null,"r","5.4999962");var _=r.createNS("http://www.w3.org/2000/svg","circle");_.setAttributeNS(null,"fill","#FFFFFF"),_.setAttributeNS(null,"cx","5.5"),_.setAttributeNS(null,"cy","5.5"),_.setAttributeNS(null,"r","5.4999962"),x.appendChild(b),x.appendChild(_),l.appendChild(c),l.appendChild(d),l.appendChild(g),l.appendChild(y),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add("mapboxgl-marker"),this._element.addEventListener("dragstart",(function(t){t.preventDefault()})),this._element.addEventListener("mousedown",(function(t){t.preventDefault()})),this._element.addEventListener("focus",(function(){var t=a._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Di(this._element,this._anchor,"marker"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on("move",this._update),t.on("moveend",this._update),this.setDraggable(this._draggable),this._update(),this._map.on("click",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off("click",this._onMapClick),this._map.off("move",this._update),this._map.off("moveend",this._update),this._map.off("mousedown",this._addDragHandler),this._map.off("touchstart",this._addDragHandler),this._map.off("mouseup",this._onUp),this._map.off("touchend",this._onUp),this._map.off("mousemove",this._onMove),this._map.off("touchmove",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener("keypress",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute("tabindex")),t){if(!("offset"in t.options)){var e=Math.sqrt(Math.pow(13.5,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],"top-left":[0,0],"top-right":[0,0],bottom:[0,-38.1],"bottom-left":[e,-1*(24.6+e)],"bottom-right":[-e,-1*(24.6+e)],left:[13.5,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute("tabindex"),this._originalTabIndex||this._element.setAttribute("tabindex","0"),this._element.addEventListener("keypress",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;"Space"!==e&&"Enter"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e="";"viewport"===this._rotationAlignment||"auto"===this._rotationAlignment?e="rotateZ("+this._rotation+"deg)":"map"===this._rotationAlignment&&(e="rotateZ("+(this._rotation-this._map.getBearing())+"deg)");var n="";"viewport"===this._pitchAlignment||"auto"===this._pitchAlignment?n="rotateX(0deg)":"map"===this._pitchAlignment&&(n="rotateX("+this._map.getPitch()+"deg)"),t&&"moveend"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,zi[this._anchor]+" translate("+this._pos.x+"px, "+this._pos.y+"px) "+n+" "+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents="none","pending"===this._state&&(this._state="active",this.fire(new t.Event("dragstart"))),this.fire(new t.Event("drag"))},n.prototype._onUp=function(){this._element.style.pointerEvents="auto",this._positionDelta=null,this._map.off("mousemove",this._onMove),this._map.off("touchmove",this._onMove),"active"===this._state&&this.fire(new t.Event("dragend")),this._state="inactive"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state="pending",this._map.on("mousemove",this._onMove),this._map.on("touchmove",this._onMove),this._map.once("mouseup",this._onUp),this._map.once("touchend",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on("mousedown",this._addDragHandler),this._map.on("touchstart",this._addDragHandler)):(this._map.off("mousedown",this._addDragHandler),this._map.off("touchstart",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||"auto",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&"auto"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Bi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Ni=0,ji=!1,Ui=function(e){function n(r){e.call(this),this.options=t.extend({},Bi,r),t.bindAll(["_onSuccess","_onError","_onZoom","_finish","_setupUI","_updateCamera","_updateMarker"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){var n;return this._map=e,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),n=this._setupUI,void 0!==Ri?n(Ri):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:"geolocation"}).then((function(t){Ri="denied"!==t.state,n(Ri)})):(Ri=!!t.window.navigator.geolocation,n(Ri)),this._container},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off("zoom",this._onZoom),this._map=void 0,Ni=0,ji=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case"WAITING_ACTIVE":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"ACTIVE_LOCK":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting");break;case"BACKGROUND":this._watchState="BACKGROUND_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event("outofmaxbounds",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"BACKGROUND":case"BACKGROUND_ERROR":this._watchState="BACKGROUND",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background")}this.options.showUserLocation&&"OFF"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&"ACTIVE_LOCK"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("geolocate",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+"px",this._circleElement.style.height=i+"px"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.disabled=!0;var r=this._map._getUIString("GeolocateControl.LocationNotAvailable");this._geolocateButton.title=r,this._geolocateButton.setAttribute("aria-label",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&ji)return;this._setErrorState()}"OFF"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("error",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener("contextmenu",(function(t){return t.preventDefault()})),this._geolocateButton=r.create("button","mapboxgl-ctrl-geolocate",this._container),r.create("span","mapboxgl-ctrl-icon",this._geolocateButton).setAttribute("aria-hidden",!0),this._geolocateButton.type="button",!1===e){t.warnOnce("Geolocation support is not available so the GeolocateControl will be disabled.");var i=this._map._getUIString("GeolocateControl.LocationNotAvailable");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute("aria-label",i)}else{var a=this._map._getUIString("GeolocateControl.FindMyLocation");this._geolocateButton.title=a,this._geolocateButton.setAttribute("aria-label",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute("aria-pressed","false"),this._watchState="OFF"),this.options.showUserLocation&&(this._dotElement=r.create("div","mapboxgl-user-location-dot"),this._userLocationDotMarker=new Fi(this._dotElement),this._circleElement=r.create("div","mapboxgl-user-location-accuracy-circle"),this._accuracyCircleMarker=new Fi({element:this._circleElement,pitchAlignment:"map"}),this.options.trackUserLocation&&(this._watchState="OFF"),this._map.on("zoom",this._onZoom)),this._geolocateButton.addEventListener("click",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on("movestart",(function(e){var r=e.originalEvent&&"resize"===e.originalEvent.type;e.geolocateSource||"ACTIVE_LOCK"!==n._watchState||r||(n._watchState="BACKGROUND",n._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background"),n._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),n.fire(new t.Event("trackuserlocationend")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce("Geolocate control triggered before added to a map"),!1;if(this.options.trackUserLocation){switch(this._watchState){case"OFF":this._watchState="WAITING_ACTIVE",this.fire(new t.Event("trackuserlocationstart"));break;case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":case"BACKGROUND_ERROR":Ni--,ji=!1,this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this.fire(new t.Event("trackuserlocationend"));break;case"BACKGROUND":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event("trackuserlocationstart"))}switch(this._watchState){case"WAITING_ACTIVE":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_LOCK":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"BACKGROUND":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background");break;case"BACKGROUND_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error")}if("OFF"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","true"),++Ni>1?(e={maximumAge:6e5,timeout:0},ji=!0):(e=this.options.positionOptions,ji=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","false"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Vi={maxWidth:100,unit:"metric"},Hi=function(e){this.options=t.extend({},Vi,e),t.bindAll(["_onMove","setUnit"],this)};function qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&"imperial"===r.unit){var l=3.2808*s;if(l>5280)Gi(e,n,l/5280,t._getUIString("ScaleControl.Miles"));else Gi(e,n,l,t._getUIString("ScaleControl.Feet"))}else if(r&&"nautical"===r.unit){Gi(e,n,s/1852,t._getUIString("ScaleControl.NauticalMiles"))}else s>=1e3?Gi(e,n,s/1e3,t._getUIString("ScaleControl.Kilometers")):Gi(e,n,s,t._getUIString("ScaleControl.Meters"))}function Gi(t,e,r,n){var i,a,o,s=(i=r,a=Math.pow(10,(""+Math.floor(i)).length-1),o=(o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o),a*o),l=s/r;t.style.width=e*l+"px",t.innerHTML=s+"&nbsp;"+n}Hi.prototype.getDefaultPosition=function(){return"bottom-left"},Hi.prototype._onMove=function(){qi(this._map,this._container,this.options)},Hi.prototype.onAdd=function(t){return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-scale",t.getContainer()),this._map.on("move",this._onMove),this._onMove(),this._container},Hi.prototype.onRemove=function(){r.remove(this._container),this._map.off("move",this._onMove),this._map=void 0},Hi.prototype.setUnit=function(t){this.options.unit=t,qi(this._map,this._container,this.options)};var Yi=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce("Full screen control 'container' must be a DOM element.")),t.bindAll(["_onClickFullscreen","_changeIcon"],this),"onfullscreenchange"in t.window.document?this._fullscreenchange="fullscreenchange":"onmozfullscreenchange"in t.window.document?this._fullscreenchange="mozfullscreenchange":"onwebkitfullscreenchange"in t.window.document?this._fullscreenchange="webkitfullscreenchange":"onmsfullscreenchange"in t.window.document&&(this._fullscreenchange="MSFullscreenChange")};Yi.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display="none",t.warnOnce("This device does not support fullscreen mode.")),this._controlContainer},Yi.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Yi.prototype._setupUI=function(){var e=this._fullscreenButton=r.create("button","mapboxgl-ctrl-fullscreen",this._controlContainer);r.create("span","mapboxgl-ctrl-icon",e).setAttribute("aria-hidden",!0),e.type="button",this._updateTitle(),this._fullscreenButton.addEventListener("click",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute("aria-label",t),this._fullscreenButton.title=t},Yi.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?"FullscreenControl.Exit":"FullscreenControl.Enter")},Yi.prototype._isFullscreen=function(){return this._fullscreen},Yi.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle("mapboxgl-ctrl-shrink"),this._fullscreenButton.classList.toggle("mapboxgl-ctrl-fullscreen"),this._updateTitle())},Yi.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Wi={closeButton:!0,closeOnClick:!0,className:"",maxWidth:"240px"},Zi=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Wi),r),t.bindAll(["_update","_onClose","remove","_onMouseMove","_onMouseUp","_onDrag"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on("click",this._onClose),this.options.closeOnMove&&this._map.on("move",this._onClose),this._map.on("remove",this.remove),this._update(),this._trackPointer?(this._map.on("mousemove",this._onMouseMove),this._map.on("mouseup",this._onMouseUp),this._container&&this._container.classList.add("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.add("mapboxgl-track-pointer")):this._map.on("move",this._update),this.fire(new t.Event("open")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off("move",this._update),this._map.off("move",this._onClose),this._map.off("click",this._onClose),this._map.off("remove",this.remove),this._map.off("mousemove",this._onMouseMove),this._map.off("mouseup",this._onMouseUp),this._map.off("drag",this._onDrag),delete this._map),this.fire(new t.Event("close")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on("move",this._update),this._map.off("mousemove",this._onMouseMove),this._container&&this._container.classList.remove("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.remove("mapboxgl-track-pointer")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off("move",this._update),this._map.on("mousemove",this._onMouseMove),this._map.on("drag",this._onDrag),this._container&&this._container.classList.add("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.add("mapboxgl-track-pointer")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement("body");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create("div","mapboxgl-popup-content",this._container),this.options.closeButton&&(this._closeButton=r.create("button","mapboxgl-popup-close-button",this._content),this._closeButton.type="button",this._closeButton.setAttribute("aria-label","Close popup"),this._closeButton.innerHTML="&#215;",this._closeButton.addEventListener("click",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(e){var n=this,i=this._lngLat||this._trackPointer;if(this._map&&i&&this._content&&(this._container||(this._container=r.create("div","mapboxgl-popup",this._map.getContainer()),this._tip=r.create("div","mapboxgl-popup-tip",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(" ").forEach((function(t){return n._container.classList.add(t)})),this._trackPointer&&this._container.classList.add("mapboxgl-popup-track-pointer")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var a=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),o=this.options.anchor,s=function e(r){if(r){if("number"==typeof r){var n=Math.round(Math.sqrt(.5*Math.pow(r,2)));return{center:new t.Point(0,0),top:new t.Point(0,r),"top-left":new t.Point(n,n),"top-right":new t.Point(-n,n),bottom:new t.Point(0,-r),"bottom-left":new t.Point(n,-n),"bottom-right":new t.Point(-n,-n),left:new t.Point(r,0),right:new t.Point(-r,0)}}if(r instanceof t.Point||Array.isArray(r)){var i=t.Point.convert(r);return{center:i,top:i,"top-left":i,"top-right":i,bottom:i,"bottom-left":i,"bottom-right":i,left:i,right:i}}return{center:t.Point.convert(r.center||[0,0]),top:t.Point.convert(r.top||[0,0]),"top-left":t.Point.convert(r["top-left"]||[0,0]),"top-right":t.Point.convert(r["top-right"]||[0,0]),bottom:t.Point.convert(r.bottom||[0,0]),"bottom-left":t.Point.convert(r["bottom-left"]||[0,0]),"bottom-right":t.Point.convert(r["bottom-right"]||[0,0]),left:t.Point.convert(r.left||[0,0]),right:t.Point.convert(r.right||[0,0])}}return e(new t.Point(0,0))}(this.options.offset);if(!o){var l,c=this._container.offsetWidth,u=this._container.offsetHeight;l=a.y+s.bottom.y<u?["top"]:a.y>this._map.transform.height-u?["bottom"]:[],a.x<c/2?l.push("left"):a.x>this._map.transform.width-c/2&&l.push("right"),o=0===l.length?"bottom":l.join("-")}var f=a.add(s[o]).round();r.setTransform(this._container,zi[o]+" translate("+f.x+"px,"+f.y+"px)"),Di(this._container,o,"popup")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);var Xi={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Ei,NavigationControl:Pi,GeolocateControl:Ui,AttributionControl:bi,ScaleControl:Hi,FullscreenControl:Yi,Popup:Zi,Marker:Fi,Style:qe,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){Bt().acquire(zt)},clearPrewarmedResources:function(){var t=Rt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(zt),Rt=null):console.warn("Could not clear WebWorkers since there are active Map instances that still reference it. 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+ */
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t.regions.forEach(e.addRegion),{segments:e.calculate(t.inverted),inverted:t.inverted}},combine:function(t,e){return{combined:o(!1,f,u).calculate(t.segments,t.inverted,e.segments,e.inverted),inverted1:t.inverted,inverted2:e.inverted}},selectUnion:function(t){return{segments:l.union(t.combined,u),inverted:t.inverted1||t.inverted2}},selectIntersect:function(t){return{segments:l.intersect(t.combined,u),inverted:t.inverted1&&t.inverted2}},selectDifference:function(t){return{segments:l.difference(t.combined,u),inverted:t.inverted1&&!t.inverted2}},selectDifferenceRev:function(t){return{segments:l.differenceRev(t.combined,u),inverted:!t.inverted1&&t.inverted2}},selectXor:function(t){return{segments:l.xor(t.combined,u),inverted:t.inverted1!==t.inverted2}},polygon:function(t){return{regions:s(t.segments,f,u),inverted:t.inverted}},polygonFromGeoJSON:function(t){return c.toPolygon(n,t)},polygonToGeoJSON:function(t){return c.fromPolygon(n,f,t)},union:function(t,e){return h(t,e,n.selectUnion)},intersect:function(t,e){return h(t,e,n.selectIntersect)},difference:function(t,e){return h(t,e,n.selectDifference)},differenceRev:function(t,e){return h(t,e,n.selectDifferenceRev)},xor:function(t,e){return h(t,e,n.selectXor)}},"object"==typeof window&&(window.PolyBool=n),e.exports=n},{"./lib/build-log":256,"./lib/epsilon":257,"./lib/geojson":258,"./lib/intersecter":259,"./lib/segment-chainer":261,"./lib/segment-selector":262}],256:[function(t,e,r){e.exports=function(){var t,e=0,r=!1;function n(e,r){return t.list.push({type:e,data:r?JSON.parse(JSON.stringify(r)):void 0}),t}return t={list:[],segmentId:function(){return e++},checkIntersection:function(t,e){return n("check",{seg1:t,seg2:e})},segmentChop:function(t,e){return n("div_seg",{seg:t,pt:e}),n("chop",{seg:t,pt:e})},statusRemove:function(t){return n("pop_seg",{seg:t})},segmentUpdate:function(t){return n("seg_update",{seg:t})},segmentNew:function(t,e){return n("new_seg",{seg:t,primary:e})},segmentRemove:function(t){return n("rem_seg",{seg:t})},tempStatus:function(t,e,r){return n("temp_status",{seg:t,above:e,below:r})},rewind:function(t){return n("rewind",{seg:t})},status:function(t,e,r){return n("status",{seg:t,above:e,below:r})},vert:function(e){return e===r?t:(r=e,n("vert",{x:e}))},log:function(t){return"string"!=typeof t&&(t=JSON.stringify(t,!1,"  ")),n("log",{txt:t})},reset:function(){return n("reset")},selected:function(t){return n("selected",{segs:t})},chainStart:function(t){return n("chain_start",{seg:t})},chainRemoveHead:function(t,e){return n("chain_rem_head",{index:t,pt:e})},chainRemoveTail:function(t,e){return n("chain_rem_tail",{index:t,pt:e})},chainNew:function(t,e){return n("chain_new",{pt1:t,pt2:e})},chainMatch:function(t){return n("chain_match",{index:t})},chainClose:function(t){return n("chain_close",{index:t})},chainAddHead:function(t,e){return n("chain_add_head",{index:t,pt:e})},chainAddTail:function(t,e){return n("chain_add_tail",{index:t,pt:e})},chainConnect:function(t,e){return n("chain_con",{index1:t,index2:e})},chainReverse:function(t){return n("chain_rev",{index:t})},chainJoin:function(t,e){return n("chain_join",{index1:t,index2:e})},done:function(){return n("done")}}}},{}],257:[function(t,e,r){e.exports=function(t){"number"!=typeof t&&(t=1e-10);var e={epsilon:function(e){return"number"==typeof e&&(t=e),t},pointAboveOrOnLine:function(e,r,n){var i=r[0],a=r[1],o=n[0],s=n[1],l=e[0];return(o-i)*(e[1]-a)-(s-a)*(l-i)>=-t},pointBetween:function(e,r,n){var i=e[1]-r[1],a=n[0]-r[0],o=e[0]-r[0],s=n[1]-r[1],l=o*a+i*s;return!(l<t)&&!(l-(a*a+s*s)>-t)},pointsSameX:function(e,r){return Math.abs(e[0]-r[0])<t},pointsSameY:function(e,r){return Math.abs(e[1]-r[1])<t},pointsSame:function(t,r){return e.pointsSameX(t,r)&&e.pointsSameY(t,r)},pointsCompare:function(t,r){return e.pointsSameX(t,r)?e.pointsSameY(t,r)?0:t[1]<r[1]?-1:1:t[0]<r[0]?-1:1},pointsCollinear:function(e,r,n){var i=e[0]-r[0],a=e[1]-r[1],o=r[0]-n[0],s=r[1]-n[1];return Math.abs(i*s-o*a)<t},linesIntersect:function(e,r,n,i){var a=r[0]-e[0],o=r[1]-e[1],s=i[0]-n[0],l=i[1]-n[1],c=a*l-o*s;if(Math.abs(c)<t)return!1;var u=e[0]-n[0],f=e[1]-n[1],h=(s*f-l*u)/c,p=(a*f-o*u)/c,d={alongA:0,alongB:0,pt:[e[0]+h*a,e[1]+h*o]};return d.alongA=h<=-t?-2:h<t?-1:h-1<=-t?0:h-1<t?1:2,d.alongB=p<=-t?-2:p<t?-1:p-1<=-t?0:p-1<t?1:2,d},pointInsideRegion:function(e,r){for(var n=e[0],i=e[1],a=r[r.length-1][0],o=r[r.length-1][1],s=!1,l=0;l<r.length;l++){var c=r[l][0],u=r[l][1];u-i>t!=o-i>t&&(a-c)*(i-u)/(o-u)+c-n>t&&(s=!s),a=c,o=u}return s}};return e}},{}],258:[function(t,e,r){var n={toPolygon:function(t,e){function r(e){if(e.length<=0)return t.segments({inverted:!1,regions:[]});function r(e){var r=e.slice(0,e.length-1);return t.segments({inverted:!1,regions:[r]})}for(var n=r(e[0]),i=1;i<e.length;i++)n=t.selectDifference(t.combine(n,r(e[i])));return n}if("Polygon"===e.type)return t.polygon(r(e.coordinates));if("MultiPolygon"===e.type){for(var n=t.segments({inverted:!1,regions:[]}),i=0;i<e.coordinates.length;i++)n=t.selectUnion(t.combine(n,r(e.coordinates[i])));return t.polygon(n)}throw new Error("PolyBool: Cannot convert GeoJSON object to PolyBool polygon")},fromPolygon:function(t,e,r){function n(t,r){return e.pointInsideRegion([.5*(t[0][0]+t[1][0]),.5*(t[0][1]+t[1][1])],r)}function i(t){return{region:t,children:[]}}r=t.polygon(t.segments(r));var a=i(null);function o(t,e){for(var r=0;r<t.children.length;r++){if(n(e,(s=t.children[r]).region))return void o(s,e)}var a=i(e);for(r=0;r<t.children.length;r++){var s;n((s=t.children[r]).region,e)&&(a.children.push(s),t.children.splice(r,1),r--)}t.children.push(a)}for(var s=0;s<r.regions.length;s++){var l=r.regions[s];l.length<3||o(a,l)}function c(t,e){for(var r=0,n=t[t.length-1][0],i=t[t.length-1][1],a=[],o=0;o<t.length;o++){var s=t[o][0],l=t[o][1];a.push([s,l]),r+=l*n-s*i,n=s,i=l}return r<0!==e&&a.reverse(),a.push([a[0][0],a[0][1]]),a}var u=[];function f(t){var e=[c(t.region,!1)];u.push(e);for(var r=0;r<t.children.length;r++)e.push(h(t.children[r]))}function h(t){for(var e=0;e<t.children.length;e++)f(t.children[e]);return c(t.region,!0)}for(s=0;s<a.children.length;s++)f(a.children[s]);return u.length<=0?{type:"Polygon",coordinates:[]}:1==u.length?{type:"Polygon",coordinates:u[0]}:{type:"MultiPolygon",coordinates:u}}};e.exports=n},{}],259:[function(t,e,r){var n=t("./linked-list");e.exports=function(t,e,r){function i(t,e,n){return{id:r?r.segmentId():-1,start:t,end:e,myFill:{above:n.myFill.above,below:n.myFill.below},otherFill:null}}var a=n.create();function o(t,r){a.insertBefore(t,(function(n){return function(t,r,n,i,a,o){var s=e.pointsCompare(r,a);return 0!==s?s:e.pointsSame(n,o)?0:t!==i?t?1:-1:e.pointAboveOrOnLine(n,i?a:o,i?o:a)?1:-1}(t.isStart,t.pt,r,n.isStart,n.pt,n.other.pt)<0}))}function s(t,e){var r=function(t,e){var r=n.node({isStart:!0,pt:t.start,seg:t,primary:e,other:null,status:null});return o(r,t.end),r}(t,e);return function(t,e,r){var i=n.node({isStart:!1,pt:e.end,seg:e,primary:r,other:t,status:null});t.other=i,o(i,t.pt)}(r,t,e),r}function l(t,e){var n=i(e,t.seg.end,t.seg);return function(t,e){r&&r.segmentChop(t.seg,e),t.other.remove(),t.seg.end=e,t.other.pt=e,o(t.other,t.pt)}(t,e),s(n,t.primary)}function c(i,o){var s=n.create();function c(t){return s.findTransition((function(r){var n,i,a,o,s,l;return(n=t,i=r.ev,a=n.seg.start,o=n.seg.end,s=i.seg.start,l=i.seg.end,e.pointsCollinear(a,s,l)?e.pointsCollinear(o,s,l)||e.pointAboveOrOnLine(o,s,l)?1:-1:e.pointAboveOrOnLine(a,s,l)?1:-1)>0}))}function u(t,n){var i=t.seg,a=n.seg,o=i.start,s=i.end,c=a.start,u=a.end;r&&r.checkIntersection(i,a);var f=e.linesIntersect(o,s,c,u);if(!1===f){if(!e.pointsCollinear(o,s,c))return!1;if(e.pointsSame(o,u)||e.pointsSame(s,c))return!1;var h=e.pointsSame(o,c),p=e.pointsSame(s,u);if(h&&p)return n;var d=!h&&e.pointBetween(o,c,u),m=!p&&e.pointBetween(s,c,u);if(h)return m?l(n,s):l(t,u),n;d&&(p||(m?l(n,s):l(t,u)),l(n,o))}else 0===f.alongA&&(-1===f.alongB?l(t,c):0===f.alongB?l(t,f.pt):1===f.alongB&&l(t,u)),0===f.alongB&&(-1===f.alongA?l(n,o):0===f.alongA?l(n,f.pt):1===f.alongA&&l(n,s));return!1}for(var f=[];!a.isEmpty();){var h=a.getHead();if(r&&r.vert(h.pt[0]),h.isStart){r&&r.segmentNew(h.seg,h.primary);var p=c(h),d=p.before?p.before.ev:null,m=p.after?p.after.ev:null;function g(){if(d){var t=u(h,d);if(t)return t}return!!m&&u(h,m)}r&&r.tempStatus(h.seg,!!d&&d.seg,!!m&&m.seg);var v,y=g();if(y){var x;if(t)(x=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below)&&(y.seg.myFill.above=!y.seg.myFill.above);else y.seg.otherFill=h.seg.myFill;r&&r.segmentUpdate(y.seg),h.other.remove(),h.remove()}if(a.getHead()!==h){r&&r.rewind(h.seg);continue}if(t)x=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below,h.seg.myFill.below=m?m.seg.myFill.above:i,h.seg.myFill.above=x?!h.seg.myFill.below:h.seg.myFill.below;else if(null===h.seg.otherFill)v=m?h.primary===m.primary?m.seg.otherFill.above:m.seg.myFill.above:h.primary?o:i,h.seg.otherFill={above:v,below:v};r&&r.status(h.seg,!!d&&d.seg,!!m&&m.seg),h.other.status=p.insert(n.node({ev:h}))}else{var b=h.status;if(null===b)throw new Error("PolyBool: Zero-length segment detected; your epsilon is probably too small or too large");if(s.exists(b.prev)&&s.exists(b.next)&&u(b.prev.ev,b.next.ev),r&&r.statusRemove(b.ev.seg),b.remove(),!h.primary){var _=h.seg.myFill;h.seg.myFill=h.seg.otherFill,h.seg.otherFill=_}f.push(h.seg)}a.getHead().remove()}return r&&r.done(),f}return t?{addRegion:function(t){for(var n,i,a,o=t[t.length-1],l=0;l<t.length;l++){n=o,o=t[l];var c=e.pointsCompare(n,o);0!==c&&s((i=c<0?n:o,a=c<0?o:n,{id:r?r.segmentId():-1,start:i,end:a,myFill:{above:null,below:null},otherFill:null}),!0)}},calculate:function(t){return c(t,!1)}}:{calculate:function(t,e,r,n){return t.forEach((function(t){s(i(t.start,t.end,t),!0)})),r.forEach((function(t){s(i(t.start,t.end,t),!1)})),c(e,n)}}}},{"./linked-list":260}],260:[function(t,e,r){e.exports={create:function(){var t={root:{root:!0,next:null},exists:function(e){return null!==e&&e!==t.root},isEmpty:function(){return null===t.root.next},getHead:function(){return t.root.next},insertBefore:function(e,r){for(var n=t.root,i=t.root.next;null!==i;){if(r(i))return e.prev=i.prev,e.next=i,i.prev.next=e,void(i.prev=e);n=i,i=i.next}n.next=e,e.prev=n,e.next=null},findTransition:function(e){for(var r=t.root,n=t.root.next;null!==n&&!e(n);)r=n,n=n.next;return{before:r===t.root?null:r,after:n,insert:function(t){return t.prev=r,t.next=n,r.next=t,null!==n&&(n.prev=t),t}}}};return t},node:function(t){return t.prev=null,t.next=null,t.remove=function(){t.prev.next=t.next,t.next&&(t.next.prev=t.prev),t.prev=null,t.next=null},t}}},{}],261:[function(t,e,r){e.exports=function(t,e,r){var n=[],i=[];return t.forEach((function(t){var a=t.start,o=t.end;if(e.pointsSame(a,o))console.warn("PolyBool: Warning: Zero-length segment detected; your epsilon is probably too small or too large");else{r&&r.chainStart(t);for(var s={index:0,matches_head:!1,matches_pt1:!1},l={index:0,matches_head:!1,matches_pt1:!1},c=s,u=0;u<n.length;u++){var f=(g=n[u])[0],h=(g[1],g[g.length-1]);g[g.length-2];if(e.pointsSame(f,a)){if(k(u,!0,!0))break}else if(e.pointsSame(f,o)){if(k(u,!0,!1))break}else if(e.pointsSame(h,a)){if(k(u,!1,!0))break}else if(e.pointsSame(h,o)&&k(u,!1,!1))break}if(c===s)return n.push([a,o]),void(r&&r.chainNew(a,o));if(c===l){r&&r.chainMatch(s.index);var p=s.index,d=s.matches_pt1?o:a,m=s.matches_head,g=n[p],v=m?g[0]:g[g.length-1],y=m?g[1]:g[g.length-2],x=m?g[g.length-1]:g[0],b=m?g[g.length-2]:g[1];return e.pointsCollinear(y,v,d)&&(m?(r&&r.chainRemoveHead(s.index,d),g.shift()):(r&&r.chainRemoveTail(s.index,d),g.pop()),v=y),e.pointsSame(x,d)?(n.splice(p,1),e.pointsCollinear(b,x,v)&&(m?(r&&r.chainRemoveTail(s.index,v),g.pop()):(r&&r.chainRemoveHead(s.index,v),g.shift())),r&&r.chainClose(s.index),void i.push(g)):void(m?(r&&r.chainAddHead(s.index,d),g.unshift(d)):(r&&r.chainAddTail(s.index,d),g.push(d)))}var _=s.index,w=l.index;r&&r.chainConnect(_,w);var T=n[_].length<n[w].length;s.matches_head?l.matches_head?T?(A(_),M(_,w)):(A(w),M(w,_)):M(w,_):l.matches_head?M(_,w):T?(A(_),M(w,_)):(A(w),M(_,w))}function k(t,e,r){return c.index=t,c.matches_head=e,c.matches_pt1=r,c===s?(c=l,!1):(c=null,!0)}function A(t){r&&r.chainReverse(t),n[t].reverse()}function M(t,i){var a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],c=o[0],u=o[1];e.pointsCollinear(l,s,c)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,c,u)&&(r&&r.chainRemoveHead(i,c),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},{}],262:[function(t,e,r){function n(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var i={union:function(t,e){return n(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],e)},intersect:function(t,e){return n(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],e)},difference:function(t,e){return n(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],e)},differenceRev:function(t,e){return n(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],e)},xor:function(t,e){return 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t[e+3]|t[e+2]<<8|t[e+1]<<16|16777216*t[e]},o.prototype=Object.create(Error.prototype),o.prototype.constructor=o,r.ProbeError=o},{stream:286,"stream-parser":302}],264:[function(t,e,r){"use strict";function n(t,e){var r=new Error(t);return r.code=e,r}function i(t){try{return decodeURIComponent(escape(t))}catch(e){return t}}function a(t,e,r){this.input=t.subarray(e,r),this.start=e;var i=String.fromCharCode.apply(null,this.input.subarray(0,4));if("II*\0"!==i&&"MM\0*"!==i)throw n("invalid TIFF signature","EBADDATA");this.big_endian="M"===i[0]}a.prototype.each=function(t){this.aborted=!1;var e=this.read_uint32(4);for(this.ifds_to_read=[{id:0,offset:e}];this.ifds_to_read.length>0&&!this.aborted;){var r=this.ifds_to_read.shift();r.offset&&this.scan_ifd(r.id,r.offset,t)}},a.prototype.read_uint16=function(t){var e=this.input;if(t+2>e.length)throw n("unexpected EOF","EBADDATA");return this.big_endian?256*e[t]+e[t+1]:e[t]+256*e[t+1]},a.prototype.read_uint32=function(t){var e=this.input;if(t+4>e.length)throw n("unexpected EOF","EBADDATA");return this.big_endian?16777216*e[t]+65536*e[t+1]+256*e[t+2]+e[t+3]:e[t]+256*e[t+1]+65536*e[t+2]+16777216*e[t+3]},a.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},a.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},a.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return r=this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return r=this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return r=this.read_uint32(e);case 9:return 0|(r=this.read_uint32(e));case 5:case 10:case 11:case 12:case 7:default:return null}},a.prototype.scan_ifd=function(t,e,r){var a=this.read_uint16(e);e+=2;for(var o=0;o<a;o++){var s=this.read_uint16(e),l=this.read_uint16(e+2),c=this.read_uint32(e+4),u=this.exif_format_length(l),f=c*u,h=f<=4?e+8:this.read_uint32(e+8),p=!1;if(h+f>this.input.length)throw n("unexpected EOF","EBADDATA");for(var d=[],m=h,g=0;g<c;g++,m+=u){var v=this.exif_format_read(l,m);if(null===v){d=null;break}d.push(v)}if(Array.isArray(d)&&2===l&&(d=i(String.fromCharCode.apply(null,d)))&&"\0"===d[d.length-1]&&(d=d.slice(0,-1)),this.is_subifd_link(t,s)&&Array.isArray(d)&&Number.isInteger(d[0])&&d[0]>0&&(this.ifds_to_read.push({id:s,offset:d[0]}),p=!0),!1===r({is_big_endian:this.big_endian,ifd:t,tag:s,format:l,count:c,entry_offset:e+this.start,data_length:f,data_offset:h+this.start,value:d,is_subifd_link:p}))return void(this.aborted=!0);e+=12}0===t&&this.ifds_to_read.push({id:1,offset:this.read_uint32(e)})},e.exports.ExifParser=a,e.exports.get_orientation=function(t){var e=0;try{return new a(t,0,t.length).each((function(t){if(0===t.ifd&&274===t.tag&&Array.isArray(t.value))return e=t.value[0],!1})),e}catch(t){return-1}}},{}],265:[function(t,e,r){"use strict";var n=t("./common").readUInt16BE,i=t("./common").readUInt32BE;function a(t,e){if(t.length<4+e)return null;var r=i(t,e);return t.length<r+e||r<8?null:{boxtype:String.fromCharCode.apply(null,t.slice(e+4,e+8)),data:t.slice(e+8,e+r),end:e+r}}function o(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;switch(n.boxtype){case"ispe":e.sizes.push({width:i(n.data,4),height:i(n.data,8)});break;case"irot":e.transforms.push({type:"irot",value:3&n.data[0]});break;case"imir":e.transforms.push({type:"imir",value:1&n.data[0]})}r=n.end}}function s(t,e,r){for(var n=0,i=0;i<r;i++)n=256*n+(t[e+i]||0);return n}function l(t,e){for(var r=t[4]>>4&15,i=15&t[4],a=t[5]>>4&15,o=n(t,6),l=8,c=0;c<o;c++){var u=n(t,l),f=n(t,l+=2),h=s(t,l+=2,a),p=n(t,l+=a);if(l+=2,0===f&&1===p){var d=s(t,l,r),m=s(t,l+r,i);e.item_loc[u]={length:m,offset:d+h}}l+=p*(r+i)}}function c(t,e){for(var r=n(t,4),i=6,o=0;o<r;o++){var s=a(t,i);if(!s)break;if("infe"===s.boxtype){for(var l=n(s.data,4),c="",u=8;u<s.data.length&&s.data[u];u++)c+=String.fromCharCode(s.data[u]);e.item_inf[c]=l}i=s.end}}function u(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;"ipco"===n.boxtype&&o(n.data,e),r=n.end}}e.exports.unbox=a,e.exports.readSizeFromMeta=function(t){var e={sizes:[],transforms:[],item_inf:{},item_loc:{}};if(function(t,e){for(var r=4;;){var n=a(t,r);if(!n)break;"iprp"===n.boxtype&&u(n.data,e),"iloc"===n.boxtype&&l(n.data,e),"iinf"===n.boxtype&&c(n.data,e),r=n.end}}(t,e),e.sizes.length){var r,n,i,o=(r=e.sizes,n=r.reduce((function(t,e){return t.width>e.width||t.width===e.width&&t.height>e.height?t:e})),i=r.reduce((function(t,e){return t.height>e.height||t.height===e.height&&t.width>e.width?t:e})),n.width>i.height||n.width===i.height&&n.height>i.width?n:i),s=1;e.transforms.forEach((function(t){var e={1:6,2:5,3:8,4:7,5:4,6:3,7:2,8:1},r={1:4,2:3,3:2,4:1,5:6,6:5,7:8,8:7};if("imir"===t.type&&(s=0===t.value?r[s]:e[s=e[s=r[s]]]),"irot"===t.type)for(var n=0;n<t.value;n++)s=e[s]}));var f=null;return e.item_inf.Exif&&(f=e.item_loc[e.item_inf.Exif]),{width:o.width,height:o.height,orientation:e.transforms.length?s:null,variants:e.sizes,exif_location:f}}},e.exports.getMimeType=function(t){var e=String.fromCharCode.apply(null,t.slice(0,4)),r={};r[e]=!0;for(var n=8;n<t.length;n+=4)r[String.fromCharCode.apply(null,t.slice(n,n+4))]=!0;if(r.mif1||r.msf1||r.miaf)return"avif"===e||"avis"===e||"avio"===e?{type:"avif",mime:"image/avif"}:"heic"===e||"heix"===e?{type:"heic",mime:"image/heic"}:"hevc"===e||"hevx"===e?{type:"heic",mime:"image/heic-sequence"}:r.avif||r.avis?{type:"avif",mime:"image/avif"}:r.heic||r.heix||r.hevc||r.hevx||r.heis?r.msf1?{type:"heif",mime:"image/heif-sequence"}:{type:"heif",mime:"image/heif"}:{type:"avif",mime:"image/avif"}}},{"./common":263}],266:[function(t,e,r){"use 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n=t("../common").str2arr,i=t("../common").sliceEq,a=t("../common").readUInt16LE,o=n("BM");e.exports=function(t){if(!(t.length<26)&&i(t,0,o))return{width:a(t,18),height:a(t,22),type:"bmp",mime:"image/bmp",wUnits:"px",hUnits:"px"}}},{"../common":263}],268:[function(t,e,r){"use strict";var n=t("../common").str2arr,i=t("../common").sliceEq,a=t("../common").readUInt16LE,o=n("GIF87a"),s=n("GIF89a");e.exports=function(t){if(!(t.length<10)&&(i(t,0,o)||i(t,0,s)))return{width:a(t,6),height:a(t,8),type:"gif",mime:"image/gif",wUnits:"px",hUnits:"px"}}},{"../common":263}],269:[function(t,e,r){"use strict";var n=t("../common").readUInt16LE;e.exports=function(t){var e=n(t,0),r=n(t,2),i=n(t,4);if(0===e&&1===r&&i){for(var a=[],o={width:0,height:0},s=0;s<i;s++){var l=t[6+16*s]||256,c=t[6+16*s+1]||256,u={width:l,height:c};a.push(u),(l>o.width||c>o.height)&&(o=u)}return{width:o.width,height:o.height,variants:a,type:"ico",mime:"image/x-icon",wUnits:"px",hUnits:"px"}}}},{"../common":263}],270:[function(t,e,r){"use strict";var n=t("../common").readUInt16BE,i=t("../common").str2arr,a=t("../common").sliceEq,o=t("../exif_utils"),s=i("Exif\0\0");e.exports=function(t){if(!(t.length<2)&&255===t[0]&&216===t[1]&&255===t[2])for(var e=2;;){for(;;){if(t.length-e<2)return;if(255===t[e++])break}for(var r,i,l=t[e++];255===l;)l=t[e++];if(208<=l&&l<=217||1===l)r=0;else{if(!(192<=l&&l<=254))return;if(t.length-e<2)return;r=n(t,e)-2,e+=2}if(217===l||218===l)return;if(225===l&&r>=10&&a(t,e,s)&&(i=o.get_orientation(t.slice(e+6,e+r))),r>=5&&192<=l&&l<=207&&196!==l&&200!==l&&204!==l){if(t.length-e<r)return;var c={width:n(t,e+3),height:n(t,e+1),type:"jpg",mime:"image/jpeg",wUnits:"px",hUnits:"px"};return i>0&&(c.orientation=i),c}e+=r}}},{"../common":263,"../exif_utils":264}],271:[function(t,e,r){"use strict";var n=t("../common").str2arr,i=t("../common").sliceEq,a=t("../common").readUInt32BE,o=n("\x89PNG\r\n\x1a\n"),s=n("IHDR");e.exports=function(t){if(!(t.length<24)&&i(t,0,o)&&i(t,12,s))return{width:a(t,16),height:a(t,20),type:"png",mime:"image/png",wUnits:"px",hUnits:"px"}}},{"../common":263}],272:[function(t,e,r){"use strict";var n=t("../common").str2arr,i=t("../common").sliceEq,a=t("../common").readUInt32BE,o=n("8BPS\0\x01");e.exports=function(t){if(!(t.length<22)&&i(t,0,o))return{width:a(t,18),height:a(t,14),type:"psd",mime:"image/vnd.adobe.photoshop",wUnits:"px",hUnits:"px"}}},{"../common":263}],273:[function(t,e,r){"use strict";function n(t){return"number"==typeof t&&isFinite(t)&&t>0}var i=/<[-_.:a-zA-Z0-9][^>]*>/,a=/^<([-_.:a-zA-Z0-9]+:)?svg\s/,o=/[^-]\bwidth="([^%]+?)"|[^-]\bwidth='([^%]+?)'/,s=/\bheight="([^%]+?)"|\bheight='([^%]+?)'/,l=/\bview[bB]ox="(.+?)"|\bview[bB]ox='(.+?)'/,c=/in$|mm$|cm$|pt$|pc$|px$|em$|ex$/;function u(t){return c.test(t)?t.match(c)[0]:"px"}e.exports=function(t){if(function(t){var e,r=0,n=t.length;for(239===t[0]&&187===t[1]&&191===t[2]&&(r=3);r<n&&(32===(e=t[r])||9===e||13===e||10===e);)r++;return r!==n&&60===t[r]}(t)){for(var e="",r=0;r<t.length;r++)e+=String.fromCharCode(t[r]);var c=(e.match(i)||[""])[0];if(a.test(c)){var f=function(t){var e=t.match(o),r=t.match(s),n=t.match(l);return{width:e&&(e[1]||e[2]),height:r&&(r[1]||r[2]),viewbox:n&&(n[1]||n[2])}}(c),h=parseFloat(f.width),p=parseFloat(f.height);if(f.width&&f.height){if(!n(h)||!n(p))return;return{width:h,height:p,type:"svg",mime:"image/svg+xml",wUnits:u(f.width),hUnits:u(f.height)}}var d=(f.viewbox||"").split(" 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e=77===t[0],r=h(t,4,e)-8;if(!(r<0)){var n=r+8;if(!(t.length-n<2)){var a=12*f(t,n+0,e);if(!(a<=0||(n+=2,t.length-n<a))){var o,s,l,d;for(o=0;o<a;o+=12)256===(d=f(t,n+o,e))?s=p(t,n+o,e):257===d&&(l=p(t,n+o,e));return s&&l?{width:s,height:l,type:"tiff",mime:"image/tiff",wUnits:"px",hUnits:"px"}:void 0}}}}}},{"../common":263}],275:[function(t,e,r){"use strict";var n=t("../common").str2arr,i=t("../common").sliceEq,a=t("../common").readUInt16LE,o=t("../common").readUInt32LE,s=t("../exif_utils"),l=n("RIFF"),c=n("WEBP");function u(t,e){if(157===t[e+3]&&1===t[e+4]&&42===t[e+5])return{width:16383&a(t,e+6),height:16383&a(t,e+8),type:"webp",mime:"image/webp",wUnits:"px",hUnits:"px"}}function f(t,e){if(47===t[e]){var r=o(t,e+1);return{width:1+(16383&r),height:1+(r>>14&16383),type:"webp",mime:"image/webp",wUnits:"px",hUnits:"px"}}}function h(t,e){return{width:1+(t[e+6]<<16|t[e+5]<<8|t[e+4]),height:1+(t[e+9]<<e|t[e+8]<<8|t[e+7]),type:"webp",mime:"image/webp",wUnits:"px",hUnits:"px"}}e.exports=function(t){if(!(t.length<16)&&(i(t,0,l)||i(t,8,c))){var e=12,r=null,n=0,a=o(t,4)+8;if(!(a>t.length)){for(;e+8<a;)if(0!==t[e]){var p=String.fromCharCode.apply(null,t.slice(e,e+4)),d=o(t,e+4);"VP8 "===p&&d>=10?r=r||u(t,e+8):"VP8L"===p&&d>=9?r=r||f(t,e+8):"VP8X"===p&&d>=10?r=r||h(t,e+8):"EXIF"===p&&(n=s.get_orientation(t.slice(e+8,e+8+d)),e=1/0),e+=8+d}else e++;if(r)return n>0&&(r.orientation=n),r}}}},{"../common":263,"../exif_utils":264}],276:[function(t,e,r){"use 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opacity;\n\t\t}\n\t\t",uniforms:{range:t.prop("range"),lineWidth:t.prop("lineWidth"),capSize:t.prop("capSize"),opacity:t.prop("opacity"),scale:t.prop("scale"),translate:t.prop("translate"),scaleFract:t.prop("scaleFract"),translateFract:t.prop("translateFract"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]}},attributes:{color:{buffer:d,offset:function(t,e){return 4*e.offset},divisor:1},position:{buffer:c,offset:function(t,e){return 8*e.offset},divisor:1},positionFract:{buffer:p,offset:function(t,e){return 8*e.offset},divisor:1},error:{buffer:m,offset:function(t,e){return 16*e.offset},divisor:1},direction:{buffer:g,stride:24,offset:0},lineOffset:{buffer:g,stride:24,offset:8},capOffset:{buffer:g,stride:24,offset:16}},primitive:"triangles",blend:{enable:!0,color:[0,0,0,0],equation:{rgb:"add",alpha:"add"},func:{srcRGB:"src alpha",dstRGB:"one minus src alpha",srcAlpha:"one minus dst 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t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=f(e.scale),e.translateFract=f(e.translate),t},viewport:function(t){var e;return Array.isArray(t)?e={x:t[0],y:t[1],width:t[2]-t[0],height:t[3]-t[1]}:t?(e={x:t.x||t.left||0,y:t.y||t.top||0},t.right?e.width=t.right-e.x:e.width=t.w||t.width||0,t.bottom?e.height=t.bottom-e.y:e.height=t.h||t.height||0):e={x:0,y:0,width:v.drawingBufferWidth,height:v.drawingBufferHeight},e}}]),u):u})),e||r){var h=x.reduce((function(t,e,r){return t+(e?e.count:0)}),0),g=new Float64Array(2*h),_=new Uint8Array(4*h),w=new Float32Array(4*h);x.forEach((function(t,e){if(t){var r=t.positions,n=t.count,i=t.offset,a=t.color,o=t.errors;n&&(_.set(a,4*i),w.set(o,4*i),g.set(r,2*i))}}));var T=u(g);c(T);var k=f(g,T);p(k),d(_),m(w)}}}function k(){c.destroy(),p.destroy(),d.destroy(),m.destroy(),g.destroy()}};var 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n=t("color-normalize"),i=t("array-bounds"),a=t("object-assign"),o=t("glslify"),s=t("pick-by-alias"),l=t("flatten-vertex-data"),c=t("earcut"),u=t("array-normalize"),f=t("to-float32"),h=f.float32,p=f.fract32,d=t("es6-weak-map"),m=t("parse-rect"),g=t("array-find-index");function v(t,e){if(!(this instanceof v))return new v(t,e);if("function"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension("ANGLE_instanced_arrays"))throw Error("regl-error2d: `ANGLE_instanced_arrays` extension should be enabled");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=v.shaders.has(t)?v.shaders.get(t):v.shaders.set(t,v.createShaders(t)).get(t),this.update(e)}e.exports=v,v.dashMult=2,v.maxPatternLength=256,v.precisionThreshold=3e6,v.maxPoints=1e4,v.maxLines=2048,v.shaders=new d,v.createShaders=function(t){var e,r=t.buffer({usage:"static",type:"float",data:[0,1,0,0,1,1,1,0]}),n={primitive:"triangle 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color;\nattribute float lineEnd, lineTop;\n\nuniform vec2 scale, scaleFract, translate, translateFract;\nuniform float thickness, pixelRatio, id, depth;\nuniform vec4 viewport;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\n\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\n\t// the order is important\n\treturn position * scale + translate\n       + positionFract * scale + translateFract\n       + position * scaleFract\n       + positionFract * scaleFract;\n}\n\nvoid main() {\n\tfloat lineStart = 1. - lineEnd;\n\tfloat lineOffset = lineTop * 2. - 1.;\n\n\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\n\ttangent = normalize(diff * scale * viewport.zw);\n\tvec2 normal = vec2(-tangent.y, tangent.x);\n\n\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\n\t\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\n\n\t\t+ thickness * normal * .5 * lineOffset / viewport.zw;\n\n\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\n\n\tfragColor = color / 255.;\n}\n"]),frag:o(["precision highp float;\n#define GLSLIFY 1\n\nuniform float dashLength, pixelRatio, thickness, opacity, id;\nuniform sampler2D dashTexture;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\n\nvoid main() {\n\tfloat alpha = 1.;\n\n\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\n\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\n\n\tgl_FragColor = fragColor;\n\tgl_FragColor.a *= alpha * opacity * dash;\n}\n"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop("positionFractBuffer"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop("positionFractBuffer"),stride:8,offset:16,divisor:1},color:{buffer:t.prop("colorBuffer"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:"back"},vert:o(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\nattribute vec4 aColor, bColor;\nattribute float lineEnd, lineTop;\n\nuniform vec2 scale, translate;\nuniform float thickness, pixelRatio, id, depth;\nuniform vec4 viewport;\nuniform float miterLimit, miterMode;\n\nvarying vec4 fragColor;\nvarying vec4 startCutoff, endCutoff;\nvarying vec2 tangent;\nvarying vec2 startCoord, endCoord;\nvarying float enableStartMiter, enableEndMiter;\n\nconst float REVERSE_THRESHOLD = -.875;\nconst float MIN_DIFF = 1e-6;\n\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\n// TODO: precalculate dot products, normalize things beforehead etc.\n// TODO: refactor to rectangular algorithm\n\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\n\tvec2 diff = b - a;\n\tvec2 perp = normalize(vec2(-diff.y, diff.x));\n\treturn dot(p - a, perp);\n}\n\nbool isNaN( float val ){\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\n}\n\nvoid main() {\n\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\n\n  vec2 adjustedScale;\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\n\n  vec2 scaleRatio = adjustedScale * viewport.zw;\n\tvec2 normalWidth = thickness / scaleRatio;\n\n\tfloat lineStart = 1. - lineEnd;\n\tfloat lineBot = 1. - lineTop;\n\n\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\n\n\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\n\n\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\n\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\n\n\tvec2 prevDiff = aCoord - prevCoord;\n\tvec2 currDiff = bCoord - aCoord;\n\tvec2 nextDiff = nextCoord - bCoord;\n\n\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\n\tvec2 currTangent = normalize(currDiff * scaleRatio);\n\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\n\n\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\n\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\n\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\n\n\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\n\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\n\n\t// collapsed/unidirectional segment cases\n\t// FIXME: there should be more elegant solution\n\tvec2 prevTanDiff = abs(prevTangent - currTangent);\n\tvec2 nextTanDiff = abs(nextTangent - currTangent);\n\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\n\t\tstartJoinDirection = currNormal;\n\t}\n\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\n\t\tendJoinDirection = currNormal;\n\t}\n\tif (aCoord == bCoord) {\n\t\tendJoinDirection = startJoinDirection;\n\t\tcurrNormal = prevNormal;\n\t\tcurrTangent = prevTangent;\n\t}\n\n\ttangent = currTangent;\n\n\t//calculate join shifts relative to normals\n\tfloat startJoinShift = dot(currNormal, startJoinDirection);\n\tfloat endJoinShift = dot(currNormal, endJoinDirection);\n\n\tfloat startMiterRatio = abs(1. / startJoinShift);\n\tfloat endMiterRatio = abs(1. / endJoinShift);\n\n\tvec2 startJoin = startJoinDirection * startMiterRatio;\n\tvec2 endJoin = endJoinDirection * endMiterRatio;\n\n\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\n\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\n\tstartBotJoin = -startTopJoin;\n\n\tendTopJoin = sign(endJoinShift) * endJoin * .5;\n\tendBotJoin = -endTopJoin;\n\n\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\n\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\n\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\n\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\n\n\t//miter anti-clipping\n\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\n\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\n\n\t//prevent close to reverse direction switch\n\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\n\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\n\n\tif (prevReverse) {\n\t\t//make join rectangular\n\t\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\n\t\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\n\t\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\n\t\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\n\t}\n\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\n\t\t//handle miter clipping\n\t\tbTopCoord -= normalWidth * endTopJoin;\n\t\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\n\t}\n\n\tif (nextReverse) {\n\t\t//make join rectangular\n\t\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\n\t\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\n\t\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\n\t\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\n\t}\n\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\n\t\t//handle miter clipping\n\t\taBotCoord -= normalWidth * startBotJoin;\n\t\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\n\t}\n\n\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\n\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\n\n\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\n\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\n\n\t//position is normalized 0..1 coord on the screen\n\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\n\n\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\n\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\n\n\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\n\n\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\n\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\n\n\t//bevel miter cutoffs\n\tif (miterMode == 1.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\n\t\t\tstartCutoff = vec4(aCoord, aCoord);\n\t\t\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\n\t\t\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tstartCutoff += viewport.xyxy;\n\t\t\tstartCutoff += startMiterWidth.xyxy;\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\n\t\t\tendCutoff = vec4(bCoord, bCoord);\n\t\t\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\n\t\t\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tendCutoff += viewport.xyxy;\n\t\t\tendCutoff += endMiterWidth.xyxy;\n\t\t}\n\t}\n\n\t//round miter cutoffs\n\telse if (miterMode == 2.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\n\t\t\tstartCutoff = vec4(aCoord, aCoord);\n\t\t\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\n\t\t\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tstartCutoff += viewport.xyxy;\n\t\t\tstartCutoff += startMiterWidth.xyxy;\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\n\t\t\tendCutoff = vec4(bCoord, bCoord);\n\t\t\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\n\t\t\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tendCutoff += viewport.xyxy;\n\t\t\tendCutoff += endMiterWidth.xyxy;\n\t\t}\n\t}\n}\n"]),frag:o(["precision highp float;\n#define GLSLIFY 1\n\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\nuniform sampler2D dashTexture;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\nvarying vec4 startCutoff, endCutoff;\nvarying vec2 startCoord, endCoord;\nvarying float enableStartMiter, enableEndMiter;\n\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\n\tvec2 diff = b - a;\n\tvec2 perp = normalize(vec2(-diff.y, diff.x));\n\treturn dot(p - a, perp);\n}\n\nvoid main() {\n\tfloat alpha = 1., distToStart, distToEnd;\n\tfloat cutoff = thickness * .5;\n\n\t//bevel miter\n\tif (miterMode == 1.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n\t\t\tif (distToStart < -1.) {\n\t\t\t\tdiscard;\n\t\t\t\treturn;\n\t\t\t}\n\t\t\talpha *= min(max(distToStart + 1., 0.), 1.);\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n\t\t\tif (distToEnd < -1.) {\n\t\t\t\tdiscard;\n\t\t\t\treturn;\n\t\t\t}\n\t\t\talpha *= min(max(distToEnd + 1., 0.), 1.);\n\t\t}\n\t}\n\n\t// round miter\n\telse if (miterMode == 2.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n\t\t\tif (distToStart < 0.) {\n\t\t\t\tfloat radius = length(gl_FragCoord.xy - startCoord);\n\n\t\t\t\tif(radius > cutoff + .5) {\n\t\t\t\t\tdiscard;\n\t\t\t\t\treturn;\n\t\t\t\t}\n\n\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n\t\t\t}\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n\t\t\tif (distToEnd < 0.) {\n\t\t\t\tfloat radius = length(gl_FragCoord.xy - endCoord);\n\n\t\t\t\tif(radius > cutoff + .5) {\n\t\t\t\t\tdiscard;\n\t\t\t\t\treturn;\n\t\t\t\t}\n\n\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n\t\t\t}\n\t\t}\n\t}\n\n\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\n\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\n\n\tgl_FragColor = fragColor;\n\tgl_FragColor.a *= alpha * opacity * dash;\n}\n"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop("colorBuffer"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop("colorBuffer"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=i}return{fill:t({primitive:"triangle",elements:function(t,e){return e.triangles},offset:0,vert:o(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec2 position, positionFract;\n\nuniform vec4 color;\nuniform vec2 scale, scaleFract, translate, translateFract;\nuniform float pixelRatio, id;\nuniform vec4 viewport;\nuniform float opacity;\n\nvarying vec4 fragColor;\n\nconst float MAX_LINES = 256.;\n\nvoid main() {\n\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\n\n\tvec2 position = position * scale + translate\n       + positionFract * scale + translateFract\n       + position * scaleFract\n       + positionFract * scaleFract;\n\n\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\n\n\tfragColor = color / 255.;\n\tfragColor.a *= opacity;\n}\n"]),frag:o(["precision highp float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor;\n\nvoid main() {\n\tgl_FragColor = fragColor;\n}\n"]),uniforms:{scale:t.prop("scale"),color:t.prop("fill"),scaleFract:t.prop("scaleFract"),translateFract:t.prop("translateFract"),translate:t.prop("translate"),opacity:t.prop("opacity"),pixelRatio:t.context("pixelRatio"),id:t.prop("id"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]}},attributes:{position:{buffer:t.prop("positionBuffer"),stride:8,offset:8},positionFract:{buffer:t.prop("positionFractBuffer"),stride:8,offset:8}},blend:n.blend,depth:{enable:!1},scissor:n.scissor,stencil:n.stencil,viewport:n.viewport}),rect:i,miter:e}},v.defaults={dashes:null,join:"miter",miterLimit:1,thickness:10,cap:"square",color:"black",opacity:1,overlay:!1,viewport:null,range:null,close:!1,fill:null},v.prototype.render=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];e.length&&(t=this).update.apply(t,e),this.draw()},v.prototype.draw=function(){for(var t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach((function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);"number"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>v.precisionThreshold||e.scale[1]*e.viewport.height>v.precisionThreshold||"rect"===e.join||!e.join&&(e.thickness<=2||e.count>=v.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},v.prototype.update=function(t){var e=this;if(t){null!=t.length?"number"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach((function(t,f){var d=e.passes[f];if(void 0!==t)if(null!==t){if("number"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:"positions points data coords",thickness:"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth",join:"lineJoin linejoin join type mode",miterLimit:"miterlimit miterLimit",dashes:"dash dashes dasharray dash-array dashArray",color:"color colour stroke colors colours stroke-color strokeColor",fill:"fill fill-color fillColor",opacity:"alpha opacity",overlay:"overlay crease overlap intersect",close:"closed close closed-path closePath",range:"range dataBox",viewport:"viewport viewBox",hole:"holes hole hollow",splitNull:"splitNull"}),d||(e.passes[f]=d={id:f,scale:null,scaleFract:null,translate:null,translateFract:null,count:0,hole:[],depth:0,dashLength:1,dashTexture:r.texture({channels:1,data:new Uint8Array([255]),width:1,height:1,mag:"linear",min:"linear"}),colorBuffer:r.buffer({usage:"dynamic",type:"uint8",data:new Uint8Array}),positionBuffer:r.buffer({usage:"dynamic",type:"float",data:new Uint8Array}),positionFractBuffer:r.buffer({usage:"dynamic",type:"float",data:new Uint8Array})},t=a({},v.defaults,t)),null!=t.thickness&&(d.thickness=parseFloat(t.thickness)),null!=t.opacity&&(d.opacity=parseFloat(t.opacity)),null!=t.miterLimit&&(d.miterLimit=parseFloat(t.miterLimit)),null!=t.overlay&&(d.overlay=!!t.overlay,f<v.maxLines&&(d.depth=2*(v.maxLines-1-f%v.maxLines)/v.maxLines-1)),null!=t.join&&(d.join=t.join),null!=t.hole&&(d.hole=t.hole),null!=t.fill&&(d.fill=t.fill?n(t.fill,"uint8"):null),null!=t.viewport&&(d.viewport=m(t.viewport)),d.viewport||(d.viewport=m([o.drawingBufferWidth,o.drawingBufferHeight])),null!=t.close&&(d.close=t.close),null===t.positions&&(t.positions=[]),t.positions){var y,x;if(t.positions.x&&t.positions.y){var b=t.positions.x,_=t.positions.y;x=d.count=Math.max(b.length,_.length),y=new Float64Array(2*x);for(var w=0;w<x;w++)y[2*w]=b[w],y[2*w+1]=_[w]}else y=l(t.positions,"float64"),x=d.count=Math.floor(y.length/2);var T=d.bounds=i(y,2);if(d.fill){for(var k=[],A={},M=0,S=0,E=0,L=d.count;S<L;S++){var C=y[2*S],P=y[2*S+1];isNaN(C)||isNaN(P)||null==C||null==P?(C=y[2*M],P=y[2*M+1],A[S]=M):M=S,k[E++]=C,k[E++]=P}if(t.splitNull){d.count-1 in A||(A[d.count]=d.count-1);var I=Object.keys(A).map(Number).sort((function(t,e){return t-e})),O=[],z=0,D=null!=d.hole?d.hole[0]:null;if(null!=D){var R=g(I,(function(t){return t>=D}));(I=I.slice(0,R)).push(D)}for(var F=function(t){var e=k.slice(2*z,2*I[t]).concat(D?k.slice(2*D):[]),r=(d.hole||[]).map((function(e){return e-D+(I[t]-z)})),n=c(e,r);n=n.map((function(e){return e+z+(e+z<I[t]?0:D-I[t])})),O.push.apply(O,n),z=I[t]+1},B=0;B<I.length;B++)F(B);for(var N=0,j=O.length;N<j;N++)null!=A[O[N]]&&(O[N]=A[O[N]]);d.triangles=O}else{for(var U=c(k,d.hole||[]),V=0,H=U.length;V<H;V++)null!=A[U[V]]&&(U[V]=A[U[V]]);d.triangles=U}}var q=new Float64Array(y);u(q,2,T);var G=new Float64Array(2*x+6);d.close?y[0]===y[2*x-2]&&y[1]===y[2*x-1]?(G[0]=q[2*x-4],G[1]=q[2*x-3]):(G[0]=q[2*x-2],G[1]=q[2*x-1]):(G[0]=q[0],G[1]=q[1]),G.set(q,2),d.close?y[0]===y[2*x-2]&&y[1]===y[2*x-1]?(G[2*x+2]=q[2],G[2*x+3]=q[3],d.count-=1):(G[2*x+2]=q[0],G[2*x+3]=q[1],G[2*x+4]=q[2],G[2*x+5]=q[3]):(G[2*x+2]=q[2*x-2],G[2*x+3]=q[2*x-1],G[2*x+4]=q[2*x-2],G[2*x+5]=q[2*x-1]);var Y=h(G);d.positionBuffer(Y);var W=p(G,Y);d.positionFractBuffer(W)}if(t.range?d.range=t.range:d.range||(d.range=d.bounds),(t.range||t.positions)&&d.count){var Z=d.bounds,X=Z[2]-Z[0],J=Z[3]-Z[1],K=d.range[2]-d.range[0],Q=d.range[3]-d.range[1];d.scale=[X/K,J/Q],d.translate=[-d.range[0]/K+Z[0]/K||0,-d.range[1]/Q+Z[1]/Q||0],d.scaleFract=p(d.scale),d.translateFract=p(d.translate)}if(t.dashes){var $,tt=0;if(!t.dashes||t.dashes.length<2)tt=1,$=new Uint8Array([255,255,255,255,255,255,255,255]);else{tt=0;for(var et=0;et<t.dashes.length;++et)tt+=t.dashes[et];$=new Uint8Array(tt*v.dashMult);for(var rt=0,nt=255,it=0;it<2;it++)for(var 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e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return e.yAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:4}},size:function(t,e){return e.size.length?{buffer:e.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(255*e.size/r.maxSize)]}},borderSize:function(t,e){return e.borderSize.length?{buffer:e.sizeBuffer,stride:2,offset:1}:{constant:[Math.round(255*e.borderSize/r.maxSize)]}},colorId:function(t,e){return e.color.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:0}:{constant:r.tooManyColors?a.slice(4*e.color,4*e.color+4):[e.color]}},borderColorId:function(t,e){return e.borderColor.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:r.tooManyColors?4:2}:{constant:r.tooManyColors?a.slice(4*e.borderColor,4*e.borderColor+4):[e.borderColor]}},isActive:function(t,e){return!0===e.activation?{constant:[1]}:e.activation?e.activation:{constant:[0]}}},blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:"src alpha",dstRGB:"one minus src alpha",srcAlpha:"one minus dst alpha",dstAlpha:"one"}},scissor:{enable:!0,box:t.prop("viewport")},viewport:t.prop("viewport"),stencil:{enable:!1},depth:{enable:!1},elements:t.prop("elements"),count:t.prop("count"),offset:t.prop("offset"),primitive:"points"},s=f({},o);s.frag=h(["precision highp float;\n#define GLSLIFY 1\n\nuniform float opacity;\nuniform sampler2D markerTexture;\n\nvarying vec4 fragColor, fragBorderColor;\nvarying float fragWidth, fragBorderColorLevel, fragColorLevel;\n\nfloat smoothStep(float x, float y) {\n  return 1.0 / (1.0 + exp(50.0*(x - y)));\n}\n\nvoid main() {\n  float dist = texture2D(markerTexture, gl_PointCoord).r, delta = fragWidth;\n\n  // max-distance alpha\n  if (dist < 0.003) discard;\n\n  // null-border case\n  if (fragBorderColorLevel == fragColorLevel || fragBorderColor.a == 0.) {\n    float colorAmt = smoothstep(.5 - delta, .5 + delta, dist);\n    gl_FragColor = vec4(fragColor.rgb, colorAmt * fragColor.a * opacity);\n  }\n  else {\n    float borderColorAmt = smoothstep(fragBorderColorLevel - delta, fragBorderColorLevel + delta, dist);\n    float colorAmt = smoothstep(fragColorLevel - delta, fragColorLevel + delta, dist);\n\n    vec4 color = fragBorderColor;\n    color.a *= borderColorAmt;\n    color = mix(color, fragColor, colorAmt);\n    color.a *= opacity;\n\n    gl_FragColor = color;\n  }\n\n}\n"]),s.vert=h(["precision highp float;\n#define GLSLIFY 1\n\nattribute float x, y, xFract, yFract;\nattribute float size, borderSize;\nattribute vec4 colorId, borderColorId;\nattribute float isActive;\n\nuniform bool constPointSize;\nuniform float pixelRatio;\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\nuniform sampler2D paletteTexture;\n\nconst float maxSize = 100.;\nconst float borderLevel = .5;\n\nvarying vec4 fragColor, fragBorderColor;\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\n\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\n\nbool isDirect = (paletteSize.x < 1.);\n\nvec4 getColor(vec4 id) {\n  return isDirect ? id / 255. : texture2D(paletteTexture,\n    vec2(\n      (id.x + .5) / paletteSize.x,\n      (id.y + .5) / paletteSize.y\n    )\n  );\n}\n\nvoid main() {\n  // ignore inactive points\n  if (isActive == 0.) return;\n\n  vec2 position = vec2(x, y);\n  vec2 positionFract = vec2(xFract, yFract);\n\n  vec4 color = getColor(colorId);\n  vec4 borderColor = getColor(borderColorId);\n\n  float size = size * maxSize / 255.;\n  float borderSize = borderSize * maxSize / 255.;\n\n  gl_PointSize = 2. * size * pointSizeScale;\n  fragPointSize = size * pixelRatio;\n\n  vec2 pos = (position + translate) * scale\n      + (positionFract + translateFract) * scale\n      + (position + translate) * scaleFract\n      + (positionFract + translateFract) * scaleFract;\n\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\n\n  fragColor = color;\n  fragBorderColor = borderColor;\n  fragWidth = 1. / gl_PointSize;\n\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\n}"]),this.drawMarker=t(s);var l=f({},o);l.frag=h(["precision highp float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor, fragBorderColor;\nvarying float fragBorderRadius, fragWidth;\n\nuniform float opacity;\n\nfloat smoothStep(float edge0, float edge1, float x) {\n\tfloat t;\n\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\n\treturn t * t * (3.0 - 2.0 * t);\n}\n\nvoid main() {\n\tfloat radius, alpha = 1.0, delta = fragWidth;\n\n\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\n\n\tif (radius > 1.0 + delta) {\n\t\tdiscard;\n\t}\n\n\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\n\n\tfloat borderRadius = fragBorderRadius;\n\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\n\tvec4 color = mix(fragColor, fragBorderColor, ratio);\n\tcolor.a *= alpha * opacity;\n\tgl_FragColor = color;\n}\n"]),l.vert=h(["precision highp float;\n#define GLSLIFY 1\n\nattribute float x, y, xFract, yFract;\nattribute float size, borderSize;\nattribute vec4 colorId, borderColorId;\nattribute float isActive;\n\nuniform bool constPointSize;\nuniform float pixelRatio;\nuniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\nuniform sampler2D paletteTexture;\n\nconst float maxSize = 100.;\n\nvarying vec4 fragColor, fragBorderColor;\nvarying float fragBorderRadius, fragWidth;\n\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\n\nbool isDirect = (paletteSize.x < 1.);\n\nvec4 getColor(vec4 id) {\n  return isDirect ? id / 255. : texture2D(paletteTexture,\n    vec2(\n      (id.x + .5) / paletteSize.x,\n      (id.y + .5) / paletteSize.y\n    )\n  );\n}\n\nvoid main() {\n  // ignore inactive points\n  if (isActive == 0.) return;\n\n  vec2 position = vec2(x, y);\n  vec2 positionFract = vec2(xFract, yFract);\n\n  vec4 color = getColor(colorId);\n  vec4 borderColor = getColor(borderColorId);\n\n  float size = size * maxSize / 255.;\n  float borderSize = borderSize * maxSize / 255.;\n\n  gl_PointSize = (size + borderSize) * pointSizeScale;\n\n  vec2 pos = (position + translate) * scale\n      + (positionFract + translateFract) * scale\n      + (position + translate) * scaleFract\n      + (positionFract + translateFract) * scaleFract;\n\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\n\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\n  fragColor = color;\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\n  fragWidth = 1. / gl_PointSize;\n}\n"]),g&&(l.frag=l.frag.replace("smoothstep","smoothStep"),s.frag=s.frag.replace("smoothstep","smoothStep")),this.drawCircle=t(l)}b.defaults={color:"black",borderColor:"transparent",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},b.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},b.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},b.prototype.drawItem=function(t,e){var r=this.groups,n=r[t];if("number"==typeof e&&(t=e,n=r[e],e=null),n&&n.count&&n.opacity){n.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,n,e));for(var a=[],o=1;o<n.activation.length;o++)n.activation[o]&&(!0===n.activation[o]||n.activation[o].data.length)&&a.push.apply(a,i(this.getMarkerDrawOptions(o,n,e)));a.length&&this.drawMarker(a)}},b.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,c=e.count;this.regl;if(!a)return r?[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var u=[],h=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(c),m=0;m<r.length;m++){var g=r[m];d[g]=p?p[g]:1}l.subdata(d)}for(var v=h.length;v--;){var y=n(h[v],2),x=y[0],b=y[1];u.push(f({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return u},b.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,s=this.maxSize,c=this.maxColors,h=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:"function"==typeof e?e={ondraw:e}:"number"==typeof e[0]&&(e={positions:e}),null===(e=p(e,{positions:"positions data points",snap:"snap cluster lod tree",size:"sizes size radius",borderSize:"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline",color:"colors color fill fill-color fillColor",borderColor:"borderColors borderColor stroke stroke-color strokeColor",marker:"markers marker shape",range:"range dataBox databox",viewport:"viewport viewPort viewBox viewbox",opacity:"opacity alpha transparency",bounds:"bound bounds boundaries limits",tooManyColors:"tooManyColors palette paletteMode optimizePalette enablePalette"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(i[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:"stream",type:"uint8"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:"dynamic",type:"uint8"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:"dynamic",type:"uint8"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:"dynamic",type:"float"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:"dynamic",type:"float"})},e=f({},b.defaults,e)),e.positions&&!("marker"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!("positions"in e)&&(e.positions=n.positions,delete n.positions);var g=0,x=0;if(d(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=b.defaults.size),g+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=b.defaults.borderSize),g+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=b.defaults.color),e=t.updateColor(e),x++,e},borderColor:function(e,r){return null==e&&(e=b.defaults.borderColor),e=t.updateColor(e),x++,e},bounds:function(t,e,r){return"range"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,i=e.positionBuffer,a=e.positionFractBuffer,s=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=m(t,"float64");var c=e.count=Math.floor(t.length/2),f=e.bounds=c?l(t,2):null;if(r.range||e.range||(delete e.range,r.range=f),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:f}):n&&n.length&&(e.tree=n),e.tree){var h={primitive:"points",usage:"static",data:e.tree,type:"uint32"};e.elements?e.elements(h):e.elements=o.elements(h)}var p=v.float32(t);return i({data:p,usage:"dynamic"}),a({data:v.fract32(t,p),usage:"dynamic"}),s({data:new Uint8Array(c),type:"uint8",usage:"stream"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach((function(t){return t&&t.destroy&&t.destroy()})),i.length=0,e&&"number"!=typeof e[0]){for(var a=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var c=t.addMarker(e[s]);a[c]||(a[c]=new Uint8Array(r.count)),a[c][s]=1}for(var u=0;u<a.length;u++)if(a[u]){var f={data:a[u],type:"uint8",usage:"static"};i[u]?i[u](f):i[u]=o.buffer(f),i[u].data=a[u]}}else{i[t.addMarker(e)]=!0}return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=v.fract(e.scale),e.translateFract=v.fract(e.translate),t},viewport:function(t){return y(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),g){var _=n,w=_.count,T=_.size,k=_.borderSize,A=_.sizeBuffer,M=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)M[2*S]=Math.round(255*(null==T[S]?T:T[S])/s),M[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/s);A({data:M,usage:"dynamic"})}if(x){var E,L=n,C=L.count,P=L.color,I=L.borderColor,O=L.colorBuffer;if(t.tooManyColors){if(P.length||I.length){E=new Uint8Array(8*C);for(var z=0;z<C;z++){var D=P[z];E[8*z]=h[4*D],E[8*z+1]=h[4*D+1],E[8*z+2]=h[4*D+2],E[8*z+3]=h[4*D+3];var R=I[z];E[8*z+4]=h[4*R],E[8*z+5]=h[4*R+1],E[8*z+6]=h[4*R+2],E[8*z+7]=h[4*R+3]}}}else if(P.length||I.length){E=new Uint8Array(4*C+2);for(var F=0;F<C;F++)null!=P[F]&&(E[4*F]=P[F]%c,E[4*F+1]=Math.floor(P[F]/c)),null!=I[F]&&(E[4*F+2]=I[F]%c,E[4*F+3]=Math.floor(I[F]/c))}O({data:E||new Uint8Array(0),type:"uint8",usage:"dynamic"})}return n}))}},b.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,i=this.markerCache,a=null==t?0:i.indexOf(t);if(a>=0)return a;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return a=r.length,i.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:"linear",min:"linear"})),a},b.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var i=[];if("number"==typeof t[0]){var a=[];if(Array.isArray(t))for(var o=0;o<t.length;o+=4)a.push(t.slice(o,o+4));else for(var l=0;l<t.length;l+=4)a.push(t.subarray(l,l+4));t=a}for(var u=0;u<t.length;u++){var f=t[u];f=s(f,"uint8");var h=c(f,!1);if(null==e[h]){var p=r.length;e[h]=Math.floor(p/4),r[p]=f[0],r[p+1]=f[1],r[p+2]=f[2],r[p+3]=f[3]}i[u]=e[h]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===i.length?i[0]:i},b.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var i=.25*(t=t.slice()).length%e;i<n*e;i++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},b.prototype.destroy=function(){return this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var _=t("object-assign");e.exports=function(t,e){var r=new x(t,e),n=r.render.bind(r);return _(n,{render:n,update:r.update.bind(r),draw:r.draw.bind(r),destroy:r.destroy.bind(r),regl:r.regl,gl:r.gl,canvas:r.gl.canvas,groups:r.groups,markers:r.markerCache,palette:r.palette}),n}},{"@plotly/point-cluster":59,"array-bounds":71,"color-id":87,"color-normalize":89,"flatten-vertex-data":191,glslify:227,"is-iexplorer":233,"object-assign":247,"parse-rect":249,"pick-by-alias":253,"to-float32":314,"update-diff":330}],283:[function(t,e,r){"use strict";var n=t("regl-scatter2d"),i=t("pick-by-alias"),a=t("array-bounds"),o=t("raf"),s=t("array-range"),l=t("parse-rect"),c=t("flatten-vertex-data");function u(t,e){if(!(this instanceof u))return new u(t,e);this.traces=[],this.passes={},this.regl=t,this.scatter=n(t),this.canvas=this.scatter.canvas}function f(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function h(t,e,r){var n,i,a,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],i=s[3]):s.length?(n=s[0],i=s[1]):(s.x,n=s.y,s.x+s.width,i=s.y+s.height),l.length>2?(a=l[0],o=l[2],l[1],l[3]):l.length?(a=l[0],o=l[1]):(a=l.x,l.y,o=l.x+l.width,l.y+l.height),[a,n,o,i]}function p(t){if("number"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}e.exports=u,u.prototype.render=function(){for(var t,e=this,r=[],n=arguments.length;n--;)r[n]=arguments[n];return r.length&&(t=this).update.apply(t,r),this.regl.attributes.preserveDrawingBuffer?this.draw():(this.dirty?null==this.planned&&(this.planned=o((function(){e.draw(),e.dirty=!0,e.planned=null}))):(this.draw(),this.dirty=!0,o((function(){e.dirty=!1}))),this)},u.prototype.update=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=0;n<e.length;n++)this.updateItem(n,e[n]);this.traces=this.traces.filter(Boolean);for(var i=[],a=0,o=0;o<this.traces.length;o++){for(var s=this.traces[o],l=this.traces[o].passes,c=0;c<l.length;c++)i.push(this.passes[l[c]]);s.passOffset=a,a+=s.passes.length}return(t=this.scatter).update.apply(t,i),this}},u.prototype.updateItem=function(t,e){var r=this.regl;if(null===e)return this.traces[t]=null,this;if(!e)return this;var n,o=i(e,{data:"data items columns rows values dimensions samples x",snap:"snap cluster",size:"sizes size radius",color:"colors color fill fill-color fillColor",opacity:"opacity alpha transparency opaque",borderSize:"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline",borderColor:"borderColors borderColor bordercolor stroke stroke-color strokeColor",marker:"markers marker shape",range:"range ranges databox dataBox",viewport:"viewport viewBox viewbox",domain:"domain domains area areas",padding:"pad padding paddings pads margin margins",transpose:"transpose transposed",diagonal:"diagonal diag showDiagonal",upper:"upper 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[""].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return 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t=i.year()+(i.year()<0?1:0),e=i.month(),(r=i.day())+(e>1?16:0)+(e>2?32*(e-2):0)+400*(t-1)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t+.5)-Math.floor(this.jdEpoch)-1;var e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:"Fruitbat",21:"Anchovy"};n.calendars.discworld=a},{"../main":347,"object-assign":247}],336:[function(t,e,r){var n=t("../main"),i=t("object-assign");function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}a.prototype=new 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n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return this.newDate(r,n,i)}}),n.calendars.ethiopian=a},{"../main":347,"object-assign":247}],337:[function(t,e,r){var n=t("../main"),i=t("object-assign");function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}function o(t,e){return t-e*Math.floor(t/e)}a.prototype=new 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a=t<=0?t+1:t,o=this.jdEpoch+this._delay1(a)+this._delay2(a)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.hebrew=a},{"../main":347,"object-assign":247}],338:[function(t,e,r){var n=t("../main"),i=t("object-assign");function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}a.prototype=new n.baseCalendar,i(a.prototype,{name:"Islamic",jdEpoch:1948439.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Islamic",epochs:["BH","AH"],monthNames:["Muharram","Safar","Rabi' al-awwal","Rabi' al-thani","Jumada al-awwal","Jumada al-thani","Rajab","Sha'aban","Ramadan","Shawwal","Dhu al-Qi'dah","Dhu al-Hijjah"],monthNamesShort:["Muh","Saf","Rab1","Rab2","Jum1","Jum2","Raj","Sha'","Ram","Shaw","DhuQ","DhuH"],dayNames:["Yawm al-ahad","Yawm al-ithnayn","Yawm ath-thulaathaa'","Yawm al-arbi'aa'","Yawm al-kham\u012bs","Yawm al-jum'a","Yawm as-sabt"],dayNamesShort:["Aha","Ith","Thu","Arb","Kha","Jum","Sab"],dayNamesMin:["Ah","It","Th","Ar","Kh","Ju","Sa"],digits:null,dateFormat:"yyyy/mm/dd",firstDay:6,isRTL:!1}},leapYear:function(t){return(11*this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year()+14)%30<11},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return this.leapYear(t)?355:354},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),t=t<=0?t+1:t,(r=i.day())+Math.ceil(29.5*(e-1))+354*(t-1)+Math.floor((3+11*t)/30)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t)+.5;var e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=a},{"../main":347,"object-assign":247}],339:[function(t,e,r){var n=t("../main"),i=t("object-assign");function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}a.prototype=new n.baseCalendar,i(a.prototype,{name:"Julian",jdEpoch:1721423.5,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Julian",epochs:["BC","AD"],monthNames:["January","February","March","April","May","June","July","August","September","October","November","December"],monthNamesShort:["Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec"],dayNames:["Sunday","Monday","Tuesday","Wednesday","Thursday","Friday","Saturday"],dayNamesShort:["Sun","Mon","Tue","Wed","Thu","Fri","Sat"],dayNamesMin:["Su","Mo","Tu","We","Th","Fr","Sa"],digits:null,dateFormat:"mm/dd/yyyy",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()<0?e.year()+1:e.year())%4==0},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(4-(n.dayOfWeek()||7),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),r=i.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),i=Math.floor((e-n)/30.6001),a=i-Math.floor(i<14?1:13),o=r-Math.floor(a>2?4716:4715),s=e-n-Math.floor(30.6001*i);return o<=0&&o--,this.newDate(o,a,s)}}),n.calendars.julian=a},{"../main":347,"object-assign":247}],340:[function(t,e,r){var n=t("../main"),i=t("object-assign");function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}function o(t,e){return t-e*Math.floor(t/e)}function s(t,e){return o(t-1,e)+1}a.prototype=new n.baseCalendar,i(a.prototype,{name:"Mayan",jdEpoch:584282.5,hasYearZero:!0,minMonth:0,firstMonth:0,minDay:0,regionalOptions:{"":{name:"Mayan",epochs:["",""],monthNames:["0","1","2","3","4","5","6","7","8","9","10","11","12","13","14","15","16","17"],monthNamesShort:["0","1","2","3","4","5","6","7","8","9","10","11","12","13","14","15","16","17"],dayNames:["0","1","2","3","4","5","6","7","8","9","10","11","12","13","14","15","16","17","18","19"],dayNamesShort:["0","1","2","3","4","5","6","7","8","9","10","11","12","13","14","15","16","17","18","19"],dayNamesMin:["0","1","2","3","4","5","6","7","8","9","10","11","12","13","14","15","16","17","18","19"],digits:null,dateFormat:"YYYY.m.d",firstDay:0,isRTL:!1,haabMonths:["Pop","Uo","Zip","Zotz","Tzec","Xul","Yaxkin","Mol","Chen","Yax","Zac","Ceh","Mac","Kankin","Muan","Pax","Kayab","Cumku","Uayeb"],tzolkinMonths:["Imix","Ik","Akbal","Kan","Chicchan","Cimi","Manik","Lamat","Muluc","Oc","Chuen","Eb","Ben","Ix","Men","Cib","Caban","Etznab","Cauac","Ahau"]}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+"."+Math.floor(t/20)+"."+t%20},forYear:function(t){if((t=t.split(".")).length<3)throw"Invalid Mayan year";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw"Invalid Mayan year";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate).toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o((t-=this.jdEpoch)+8+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s((t-=this.jdEpoch)+20,20),s(t+4,13)]},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return i.day()+20*i.month()+360*i.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=a},{"../main":347,"object-assign":247}],341:[function(t,e,r){var n=t("../main"),i=t("object-assign");function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}a.prototype=new n.baseCalendar;var o=n.instance("gregorian");i(a.prototype,{name:"Nanakshahi",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Nanakshahi",epochs:["BN","AN"],monthNames:["Chet","Vaisakh","Jeth","Harh","Sawan","Bhadon","Assu","Katak","Maghar","Poh","Magh","Phagun"],monthNamesShort:["Che","Vai","Jet","Har","Saw","Bha","Ass","Kat","Mgr","Poh","Mgh","Pha"],dayNames:["Somvaar","Mangalvar","Budhvaar","Veervaar","Shukarvaar","Sanicharvaar","Etvaar"],dayNamesShort:["Som","Mangal","Budh","Veer","Shukar","Sanichar","Et"],dayNamesMin:["So","Ma","Bu","Ve","Sh","Sa","Et"],digits:null,dateFormat:"dd-mm-yyyy",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[""].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s<i.month();s++)a+=this.daysPerMonth[s-1];return a+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=a},{"../main":347,"object-assign":247}],342:[function(t,e,r){var n=t("../main"),i=t("object-assign");function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}a.prototype=new n.baseCalendar,i(a.prototype,{name:"Nepali",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{"":{name:"Nepali",epochs:["BBS","ABS"],monthNames:["Baisakh","Jestha","Ashadh","Shrawan","Bhadra","Ashwin","Kartik","Mangsir","Paush","Mangh","Falgun","Chaitra"],monthNamesShort:["Bai","Je","As","Shra","Bha","Ash","Kar","Mang","Pau","Ma","Fal","Chai"],dayNames:["Aaitabaar","Sombaar","Manglbaar","Budhabaar","Bihibaar","Shukrabaar","Shanibaar"],dayNamesShort:["Aaita","Som","Mangl","Budha","Bihi","Shukra","Shani"],dayNamesMin:["Aai","So","Man","Bu","Bi","Shu","Sha"],digits:null,dateFormat:"dd/mm/yyyy",firstDay:1,isRTL:!1}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return 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9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(c,1,1).add(o,"d").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var c=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 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n.baseCalendar,i(a.prototype,{name:"UmmAlQura",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Umm al-Qura",epochs:["BH","AH"],monthNames:["Al-Muharram","Safar","Rabi' al-awwal","Rabi' Al-Thani","Jumada Al-Awwal","Jumada Al-Thani","Rajab","Sha'aban","Ramadan","Shawwal","Dhu al-Qi'dah","Dhu al-Hijjah"],monthNamesShort:["Muh","Saf","Rab1","Rab2","Jum1","Jum2","Raj","Sha'","Ram","Shaw","DhuQ","DhuH"],dayNames:["Yawm al-Ahad","Yawm al-Ithnain","Yawm al-Thal\u0101th\u0101\u2019","Yawm al-Arba\u2018\u0101\u2019","Yawm al-Kham\u012bs","Yawm al-Jum\u2018a","Yawm al-Sabt"],dayNamesMin:["Ah","Ith","Th","Ar","Kh","Ju","Sa"],digits:null,dateFormat:"yyyy/mm/dd",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,i=0,a=0;a<o.length;a++){if(o[a]>r)return o[i]-o[i-1];i++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate),a=12*(i.year()-1)+i.month()-15292;return i.day()+o[a-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),s=a+1,l=i-12*a,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var i=n.baseCalendar.prototype.isValid.apply(this,arguments);return i&&(i=(t=null!=t.year?t.year:t)>=1276&&t<=1500),i},_validate:function(t,e,r,i){var a=n.baseCalendar.prototype._validate.apply(this,arguments);if(a.year<1276||a.year>1500)throw i.replace(/\{0\}/,this.local.name);return a}}),n.calendars.ummalqura=a;var 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n=t("object-assign");function i(){this.regionalOptions=[],this.regionalOptions[""]={invalidCalendar:"Calendar {0} not found",invalidDate:"Invalid {0} date",invalidMonth:"Invalid {0} month",invalidYear:"Invalid {0} year",differentCalendars:"Cannot mix {0} and {1} dates"},this.local=this.regionalOptions[""],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[""].invalidDate).replace(/\{0\}/,this._calendar.local.name)}function o(t,e){return"000000".substring(0,e-(t=""+t).length)+t}function s(){this.shortYearCutoff="+10"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[""]}n(i.prototype,{instance:function(t,e){t=(t||"gregorian").toLowerCase(),e=e||"";var r=this._localCals[t+"-"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+"-"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[""].invalidCalendar).replace(/\{0\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():"string"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+"").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n="",i=0;r>0;){var a=r%10;n=(0===a?"":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,"y")},month:function(t){return 0===arguments.length?this._month:this.set(t,"m")},day:function(t){return 0===arguments.length?this._day:this.set(t,"d")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[""].invalidDate).replace(/\{0\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[""].differentCalendars).replace(/\{0\}/,this._calendar.local.name).replace(/\{1\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?"-":"")+o(Math.abs(this.year()),4)+"-"+o(this.month(),2)+"-"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[""].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[""].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[""].invalidYear);return(e.year()<0?"-":"")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[""].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[""].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[""].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[""].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[""].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[""].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[""].invalidDate),{}},add:function(t,e,r){return 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":r._dfltTitle.annotation),a("textangle"),n.coerceFont(a,"font",r.font),a("width"),a("align"),a("height")&&a("valign"),u){var f,h,p=a("arrowside");-1!==p.indexOf("end")&&(f=a("arrowhead"),h=a("arrowsize")),-1!==p.indexOf("start")&&(a("startarrowhead",f),a("startarrowsize",h)),a("arrowcolor",l?e.bordercolor:i.defaultLine),a("arrowwidth",2*(l&&c||1)),a("standoff"),a("startstandoff")}var d=a("hovertext"),m=r.hoverlabel||{};if(d){var g=a("hoverlabel.bgcolor",m.bgcolor||(i.opacity(o)?i.rgb(o):i.defaultLine)),v=a("hoverlabel.bordercolor",m.bordercolor||i.contrast(g));n.coerceFont(a,"hoverlabel.font",{family:m.font.family,size:m.font.size,color:m.font.color||v})}a("captureevents",!!d)}},{"../../lib":515,"../color":367}],354:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../lib/to_log_range");e.exports=function(t,e,r,a){e=e||{};var o="log"===r&&"linear"===e.type,s="linear"===r&&"log"===e.type;if(o||s)for(var l,c,u=t._fullLayout.annotations,f=e._id.charAt(0),h=0;h<u.length;h++)l=u[h],c="annotations["+h+"].",l[f+"ref"]===e._id&&p(f),l["a"+f+"ref"]===e._id&&p("a"+f);function p(t){var r=l[t],s=null;s=o?i(r,e.range):Math.pow(10,r),n(s)||(s=null),a(c+t,s)}}},{"../../lib/to_log_range":543,"fast-isnumeric":190}],355:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../plots/cartesian/axes"),a=t("../../plots/array_container_defaults"),o=t("./common_defaults"),s=t("./attributes");function l(t,e,r){function a(r,i){return n.coerce(t,e,s,r,i)}var l=a("visible"),c=a("clicktoshow");if(l||c){o(t,e,r,a);for(var u=e.showarrow,f=["x","y"],h=[-10,-30],p={_fullLayout:r},d=0;d<2;d++){var m=f[d],g=i.coerceRef(t,e,p,m,"","paper");if("paper"!==g)i.getFromId(p,g)._annIndices.push(e._index);if(i.coercePosition(e,p,a,g,m,.5),u){var v="a"+m,y=i.coerceRef(t,e,p,v,"pixel",["pixel","paper"]);"pixel"!==y&&y!==g&&(y=e[v]="pixel");var x="pixel"===y?h[d]:.4;i.coercePosition(e,p,a,y,v,x)}a(m+"anchor"),a(m+"shift")}if(n.noneOrAll(t,e,["x","y"]),u&&n.noneOrAll(t,e,["ax","ay"]),c){var b=a("xclick"),_=a("yclick");e._xclick=void 0===b?e.x:i.cleanPosition(b,p,e.xref),e._yclick=void 0===_?e.y:i.cleanPosition(_,p,e.yref)}}}e.exports=function(t,e){a(t,e,{name:"annotations",handleItemDefaults:l})}},{"../../lib":515,"../../plots/array_container_defaults":561,"../../plots/cartesian/axes":566,"./attributes":350,"./common_defaults":353}],356:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../registry"),a=t("../../plots/plots"),o=t("../../lib"),s=o.strTranslate,l=t("../../plots/cartesian/axes"),c=t("../color"),u=t("../drawing"),f=t("../fx"),h=t("../../lib/svg_text_utils"),p=t("../../lib/setcursor"),d=t("../dragelement"),m=t("../../plot_api/plot_template").arrayEditor,g=t("./draw_arrow_head");function v(t,e){var r=t._fullLayout.annotations[e]||{},n=l.getFromId(t,r.xref),i=l.getFromId(t,r.yref);n&&n.setScale(),i&&i.setScale(),x(t,r,e,!1,n,i)}function y(t,e,r,n,i){var a=i[r],o=i[r+"ref"],s=-1!==r.indexOf("y"),c="domain"===l.getRefType(o),u=s?n.h:n.w;return t?c?a+(s?-e:e)/t._length:t.p2r(t.r2p(a)+e):a+(s?-e:e)/u}function x(t,e,r,a,v,x){var b,_,w=t._fullLayout,T=t._fullLayout._size,k=t._context.edits;a?(b="annotation-"+a,_=a+".annotations"):(b="annotation",_="annotations");var A=m(t.layout,_,e),M=A.modifyBase,S=A.modifyItem,E=A.getUpdateObj;w._infolayer.selectAll("."+b+'[data-index="'+r+'"]').remove();var L="clip"+w._uid+"_ann"+r;if(e._input&&!1!==e.visible){var C={x:{},y:{}},P=+e.textangle||0,I=w._infolayer.append("g").classed(b,!0).attr("data-index",String(r)).style("opacity",e.opacity),O=I.append("g").classed("annotation-text-g",!0),z=k[e.showarrow?"annotationTail":"annotationPosition"],D=e.captureevents||k.annotationText||z,R=O.append("g").style("pointer-events",D?"all":null).call(p,"pointer").on("click",(function(){t._dragging=!1,t.emit("plotly_clickannotation",Y(n.event))}));e.hovertext&&R.on("mouseover",(function(){var r=e.hoverlabel,n=r.font,i=this.getBoundingClientRect(),a=t.getBoundingClientRect();f.loneHover({x0:i.left-a.left,x1:i.right-a.left,y:(i.top+i.bottom)/2-a.top,text:e.hovertext,color:r.bgcolor,borderColor:r.bordercolor,fontFamily:n.family,fontSize:n.size,fontColor:n.color},{container:w._hoverlayer.node(),outerContainer:w._paper.node(),gd:t})})).on("mouseout",(function(){f.loneUnhover(w._hoverlayer.node())}));var F=e.borderwidth,B=e.borderpad,N=F+B,j=R.append("rect").attr("class","bg").style("stroke-width",F+"px").call(c.stroke,e.bordercolor).call(c.fill,e.bgcolor),U=e.width||e.height,V=w._topclips.selectAll("#"+L).data(U?[0]:[]);V.enter().append("clipPath").classed("annclip",!0).attr("id",L).append("rect"),V.exit().remove();var H=e.font,q=w._meta?o.templateString(e.text,w._meta):e.text,G=R.append("text").classed("annotation-text",!0).text(q);k.annotationText?G.call(h.makeEditable,{delegate:R,gd:t}).call(W).on("edit",(function(r){e.text=r,this.call(W),S("text",r),v&&v.autorange&&M(v._name+".autorange",!0),x&&x.autorange&&M(x._name+".autorange",!0),i.call("_guiRelayout",t,E())})):G.call(W)}else n.selectAll("#"+L).remove();function Y(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return a&&(n.subplotId=a),n}function W(r){return r.call(u.font,H).attr({"text-anchor":{left:"start",right:"end"}[e.align]||"middle"}),h.convertToTspans(r,t,Z),r}function Z(){var r=G.selectAll("a");1===r.size()&&r.text()===G.text()&&R.insert("a",":first-child").attr({"xlink:xlink:href":r.attr("xlink:href"),"xlink:xlink:show":r.attr("xlink:show")}).style({cursor:"pointer"}).node().appendChild(j.node());var n=R.select(".annotation-text-math-group"),f=!n.empty(),m=u.bBox((f?n:G).node()),b=m.width,_=m.height,A=e.width||b,D=e.height||_,B=Math.round(A+2*N),H=Math.round(D+2*N);function q(t,e){return"auto"===e&&(e=t<1/3?"left":t>2/3?"right":"center"),{center:0,middle:0,left:.5,bottom:-.5,right:-.5,top:.5}[e]}for(var W=!1,Z=["x","y"],X=0;X<Z.length;X++){var J,K,Q,$,tt,et=Z[X],rt=e[et+"ref"]||et,nt=e["a"+et+"ref"],it={x:v,y:x}[et],at=(P+("x"===et?0:-90))*Math.PI/180,ot=B*Math.cos(at),st=H*Math.sin(at),lt=Math.abs(ot)+Math.abs(st),ct=e[et+"anchor"],ut=e[et+"shift"]*("x"===et?1:-1),ft=C[et],ht=l.getRefType(rt);if(it&&"domain"!==ht){var pt=it.r2fraction(e[et]);(pt<0||pt>1)&&(nt===rt?((pt=it.r2fraction(e["a"+et]))<0||pt>1)&&(W=!0):W=!0),J=it._offset+it.r2p(e[et]),$=.5}else{var dt="domain"===ht;"x"===et?(Q=e[et],J=dt?it._offset+it._length*Q:J=T.l+T.w*Q):(Q=1-e[et],J=dt?it._offset+it._length*Q:J=T.t+T.h*Q),$=e.showarrow?.5:Q}if(e.showarrow){ft.head=J;var mt=e["a"+et];if(tt=ot*q(.5,e.xanchor)-st*q(.5,e.yanchor),nt===rt){var gt=l.getRefType(nt);"domain"===gt?("y"===et&&(mt=1-mt),ft.tail=it._offset+it._length*mt):"paper"===gt?"y"===et?(mt=1-mt,ft.tail=T.t+T.h*mt):ft.tail=T.l+T.w*mt:ft.tail=it._offset+it.r2p(mt),K=tt}else ft.tail=J+mt,K=tt+mt;ft.text=ft.tail+tt;var vt=w["x"===et?"width":"height"];if("paper"===rt&&(ft.head=o.constrain(ft.head,1,vt-1)),"pixel"===nt){var yt=-Math.max(ft.tail-3,ft.text),xt=Math.min(ft.tail+3,ft.text)-vt;yt>0?(ft.tail+=yt,ft.text+=yt):xt>0&&(ft.tail-=xt,ft.text-=xt)}ft.tail+=ut,ft.head+=ut}else K=tt=lt*q($,ct),ft.text=J+tt;ft.text+=ut,tt+=ut,K+=ut,e["_"+et+"padplus"]=lt/2+K,e["_"+et+"padminus"]=lt/2-K,e["_"+et+"size"]=lt,e["_"+et+"shift"]=tt}if(W)R.remove();else{var bt=0,_t=0;if("left"!==e.align&&(bt=(A-b)*("center"===e.align?.5:1)),"top"!==e.valign&&(_t=(D-_)*("middle"===e.valign?.5:1)),f)n.select("svg").attr({x:N+bt-1,y:N+_t}).call(u.setClipUrl,U?L:null,t);else{var wt=N+_t-m.top,Tt=N+bt-m.left;G.call(h.positionText,Tt,wt).call(u.setClipUrl,U?L:null,t)}V.select("rect").call(u.setRect,N,N,A,D),j.call(u.setRect,F/2,F/2,B-F,H-F),R.call(u.setTranslate,Math.round(C.x.text-B/2),Math.round(C.y.text-H/2)),O.attr({transform:"rotate("+P+","+C.x.text+","+C.y.text+")"});var kt,At=function(r,n){I.selectAll(".annotation-arrow-g").remove();var l=C.x.head,f=C.y.head,h=C.x.tail+r,p=C.y.tail+n,m=C.x.text+r,b=C.y.text+n,_=o.rotationXYMatrix(P,m,b),w=o.apply2DTransform(_),A=o.apply2DTransform2(_),L=+j.attr("width"),z=+j.attr("height"),D=m-.5*L,F=D+L,B=b-.5*z,N=B+z,U=[[D,B,D,N],[D,N,F,N],[F,N,F,B],[F,B,D,B]].map(A);if(!U.reduce((function(t,e){return t^!!o.segmentsIntersect(l,f,l+1e6,f+1e6,e[0],e[1],e[2],e[3])}),!1)){U.forEach((function(t){var e=o.segmentsIntersect(h,p,l,f,t[0],t[1],t[2],t[3]);e&&(h=e.x,p=e.y)}));var V=e.arrowwidth,H=e.arrowcolor,q=e.arrowside,G=I.append("g").style({opacity:c.opacity(H)}).classed("annotation-arrow-g",!0),Y=G.append("path").attr("d","M"+h+","+p+"L"+l+","+f).style("stroke-width",V+"px").call(c.stroke,c.rgb(H));if(g(Y,q,e),k.annotationPosition&&Y.node().parentNode&&!a){var W=l,Z=f;if(e.standoff){var X=Math.sqrt(Math.pow(l-h,2)+Math.pow(f-p,2));W+=e.standoff*(h-l)/X,Z+=e.standoff*(p-f)/X}var J,K,Q=G.append("path").classed("annotation-arrow",!0).classed("anndrag",!0).classed("cursor-move",!0).attr({d:"M3,3H-3V-3H3ZM0,0L"+(h-W)+","+(p-Z),transform:s(W,Z)}).style("stroke-width",V+6+"px").call(c.stroke,"rgba(0,0,0,0)").call(c.fill,"rgba(0,0,0,0)");d.init({element:Q.node(),gd:t,prepFn:function(){var t=u.getTranslate(R);J=t.x,K=t.y,v&&v.autorange&&M(v._name+".autorange",!0),x&&x.autorange&&M(x._name+".autorange",!0)},moveFn:function(t,r){var n=w(J,K),i=n[0]+t,a=n[1]+r;R.call(u.setTranslate,i,a),S("x",y(v,t,"x",T,e)),S("y",y(x,r,"y",T,e)),e.axref===e.xref&&S("ax",y(v,t,"ax",T,e)),e.ayref===e.yref&&S("ay",y(x,r,"ay",T,e)),G.attr("transform",s(t,r)),O.attr({transform:"rotate("+P+","+i+","+a+")"})},doneFn:function(){i.call("_guiRelayout",t,E());var e=document.querySelector(".js-notes-box-panel");e&&e.redraw(e.selectedObj)}})}}};if(e.showarrow&&At(0,0),z)d.init({element:R.node(),gd:t,prepFn:function(){kt=O.attr("transform")},moveFn:function(t,r){var n="pointer";if(e.showarrow)e.axref===e.xref?S("ax",y(v,t,"ax",T,e)):S("ax",e.ax+t),e.ayref===e.yref?S("ay",y(x,r,"ay",T.w,e)):S("ay",e.ay+r),At(t,r);else{if(a)return;var i,o;if(v)i=y(v,t,"x",T,e);else{var l=e._xsize/T.w,c=e.x+(e._xshift-e.xshift)/T.w-l/2;i=d.align(c+t/T.w,l,0,1,e.xanchor)}if(x)o=y(x,r,"y",T,e);else{var u=e._ysize/T.h,f=e.y-(e._yshift+e.yshift)/T.h-u/2;o=d.align(f-r/T.h,u,0,1,e.yanchor)}S("x",i),S("y",o),v&&x||(n=d.getCursor(v?.5:i,x?.5:o,e.xanchor,e.yanchor))}O.attr({transform:s(t,r)+kt}),p(R,n)},clickFn:function(r,n){e.captureevents&&t.emit("plotly_clickannotation",Y(n))},doneFn:function(){p(R),i.call("_guiRelayout",t,E());var e=document.querySelector(".js-notes-box-panel");e&&e.redraw(e.selectedObj)}})}}}e.exports={draw:function(t){var e=t._fullLayout;e._infolayer.selectAll(".annotation").remove();for(var r=0;r<e.annotations.length;r++)e.annotations[r].visible&&v(t,r);return a.previousPromises(t)},drawOne:v,drawRaw:x}},{"../../lib":515,"../../lib/setcursor":536,"../../lib/svg_text_utils":541,"../../plot_api/plot_template":555,"../../plots/cartesian/axes":566,"../../plots/plots":628,"../../registry":647,"../color":367,"../dragelement":386,"../drawing":389,"../fx":407,"./draw_arrow_head":357,"@plotly/d3":58}],357:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../color"),a=t("./arrow_paths"),o=t("../../lib"),s=o.strScale,l=o.strRotate,c=o.strTranslate;e.exports=function(t,e,r){var o,u,f,h,p=t.node(),d=a[r.arrowhead||0],m=a[r.startarrowhead||0],g=(r.arrowwidth||1)*(r.arrowsize||1),v=(r.arrowwidth||1)*(r.startarrowsize||1),y=e.indexOf("start")>=0,x=e.indexOf("end")>=0,b=d.backoff*g+r.standoff,_=m.backoff*v+r.startstandoff;if("line"===p.nodeName){o={x:+t.attr("x1"),y:+t.attr("y1")},u={x:+t.attr("x2"),y:+t.attr("y2")};var w=o.x-u.x,T=o.y-u.y;if(h=(f=Math.atan2(T,w))+Math.PI,b&&_&&b+_>Math.sqrt(w*w+T*T))return void z();if(b){if(b*b>w*w+T*T)return void z();var k=b*Math.cos(f),A=b*Math.sin(f);u.x+=k,u.y+=A,t.attr({x2:u.x,y2:u.y})}if(_){if(_*_>w*w+T*T)return void z();var M=_*Math.cos(f),S=_*Math.sin(f);o.x-=M,o.y-=S,t.attr({x1:o.x,y1:o.y})}}else if("path"===p.nodeName){var E=p.getTotalLength(),L="";if(E<b+_)return void z();var C=p.getPointAtLength(0),P=p.getPointAtLength(.1);f=Math.atan2(C.y-P.y,C.x-P.x),o=p.getPointAtLength(Math.min(_,E)),L="0px,"+_+"px,";var I=p.getPointAtLength(E),O=p.getPointAtLength(E-.1);h=Math.atan2(I.y-O.y,I.x-O.x),u=p.getPointAtLength(Math.max(0,E-b)),L+=E-(L?_+b:b)+"px,"+E+"px",t.style("stroke-dasharray",L)}function z(){t.style("stroke-dasharray","0px,100px")}function D(e,a,o,u){e.path&&(e.noRotate&&(o=0),n.select(p.parentNode).append("path").attr({class:t.attr("class"),d:e.path,transform:c(a.x,a.y)+l(180*o/Math.PI)+s(u)}).style({fill:i.rgb(r.arrowcolor),"stroke-width":0}))}y&&D(m,o,f,v),x&&D(d,u,h,g)}},{"../../lib":515,"../color":367,"./arrow_paths":349,"@plotly/d3":58}],358:[function(t,e,r){"use strict";var n=t("./draw"),i=t("./click");e.exports={moduleType:"component",name:"annotations",layoutAttributes:t("./attributes"),supplyLayoutDefaults:t("./defaults"),includeBasePlot:t("../../plots/cartesian/include_components")("annotations"),calcAutorange:t("./calc_autorange"),draw:n.draw,drawOne:n.drawOne,drawRaw:n.drawRaw,hasClickToShow:i.hasClickToShow,onClick:i.onClick,convertCoords:t("./convert_coords")}},{"../../plots/cartesian/include_components":577,"./attributes":350,"./calc_autorange":351,"./click":352,"./convert_coords":354,"./defaults":355,"./draw":356}],359:[function(t,e,r){"use strict";var n=t("../annotations/attributes"),i=t("../../plot_api/edit_types").overrideAll,a=t("../../plot_api/plot_template").templatedArray;e.exports=i(a("annotation",{visible:n.visible,x:{valType:"any"},y:{valType:"any"},z:{valType:"any"},ax:{valType:"number"},ay:{valType:"number"},xanchor:n.xanchor,xshift:n.xshift,yanchor:n.yanchor,yshift:n.yshift,text:n.text,textangle:n.textangle,font:n.font,width:n.width,height:n.height,opacity:n.opacity,align:n.align,valign:n.valign,bgcolor:n.bgcolor,bordercolor:n.bordercolor,borderpad:n.borderpad,borderwidth:n.borderwidth,showarrow:n.showarrow,arrowcolor:n.arrowcolor,arrowhead:n.arrowhead,startarrowhead:n.startarrowhead,arrowside:n.arrowside,arrowsize:n.arrowsize,startarrowsize:n.startarrowsize,arrowwidth:n.arrowwidth,standoff:n.standoff,startstandoff:n.startstandoff,hovertext:n.hovertext,hoverlabel:n.hoverlabel,captureevents:n.captureevents}),"calc","from-root")},{"../../plot_api/edit_types":548,"../../plot_api/plot_template":555,"../annotations/attributes":350}],360:[function(t,e,r){"use 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V,H,q,G,Y,W,Z,X,J,K,Q,$,tt,et=[],rt=[],nt={hLinePoint:null,vLinePoint:null},it=!1;if(Array.isArray(e))for(P="array",q=0;q<e.length;q++)(Y=t.calcdata[e[q].curveNumber||0])&&(W=Y[0].trace,"skip"!==Y[0].trace.hoverinfo&&(rt.push(Y),"h"===W.orientation&&(it=!0)));else{for(G=0;G<t.calcdata.length;G++)Y=t.calcdata[G],"skip"!==(W=Y[0].trace).hoverinfo&&v.isTraceInSubplots(W,l)&&(rt.push(Y),"h"===W.orientation&&(it=!0));var at,ot;if(!s)at="xpx"in e?e.xpx:_[0]._length/2,ot="ypx"in e?e.ypx:w[0]._length/2;else{if(!1===c.triggerHandler(t,"plotly_beforehover",e))return;var st=s.getBoundingClientRect();at=e.clientX-st.left,ot=e.clientY-st.top,u._calcInverseTransform(t);var lt=o.apply3DTransform(u._invTransform)(at,ot);if(at=lt[0],ot=lt[1],at<0||at>_[0]._length||ot<0||ot>w[0]._length)return d.unhoverRaw(t,e)}if(e.pointerX=at+_[0]._offset,e.pointerY=ot+w[0]._offset,V="xval"in e?v.flat(l,e.xval):v.p2c(_,at),H="yval"in e?v.flat(l,e.yval):v.p2c(w,ot),!i(V[0])||!i(H[0]))return o.warn("Fx.hover failed",e,t),d.unhoverRaw(t,e)}var ct=1/0;function ut(t,r){for(G=0;G<rt.length;G++)if((Y=rt[G])&&Y[0]&&Y[0].trace&&!0===(W=Y[0].trace).visible&&0!==W._length&&-1===["carpet","contourcarpet"].indexOf(W._module.name)){if("splom"===W.type?Z=l[X=0]:(Z=v.getSubplot(W),X=l.indexOf(Z)),J=P,v.isUnifiedHover(J)&&(J=J.charAt(0)),$={cd:Y,trace:W,xa:_[X],ya:w[X],maxHoverDistance:O,maxSpikeDistance:B,index:!1,distance:Math.min(ct,O),spikeDistance:1/0,xSpike:void 0,ySpike:void 0,color:p.defaultLine,name:W.name,x0:void 0,x1:void 0,y0:void 0,y1:void 0,xLabelVal:void 0,yLabelVal:void 0,zLabelVal:void 0,text:void 0},u[Z]&&($.subplot=u[Z]._subplot),u._splomScenes&&u._splomScenes[W.uid]&&($.scene=u._splomScenes[W.uid]),tt=et.length,"array"===J){var n=e[G];"pointNumber"in n?($.index=n.pointNumber,J="closest"):(J="","xval"in n&&(K=n.xval,J="x"),"yval"in n&&(Q=n.yval,J=J?"closest":"y"))}else void 0!==t&&void 0!==r?(K=t,Q=r):(K=V[X],Q=H[X]);if(0!==O)if(W._module&&W._module.hoverPoints){var a=W._module.hoverPoints($,K,Q,J,{finiteRange:!0,hoverLayer:u._hoverlayer});if(a)for(var s,c=0;c<a.length;c++)s=a[c],i(s.x0)&&i(s.y0)&&et.push(D(s,P))}else o.log("Unrecognized trace type in hover:",W);if("closest"===P&&et.length>tt&&(et.splice(0,tt),ct=et[0].distance),y&&0!==B&&0===et.length){$.distance=B,$.index=!1;var f=W._module.hoverPoints($,K,Q,"closest",{hoverLayer:u._hoverlayer});if(f&&(f=f.filter((function(t){return t.spikeDistance<=B}))),f&&f.length){var h,d=f.filter((function(t){return t.xa.showspikes&&"hovered data"!==t.xa.spikesnap}));if(d.length){var m=d[0];i(m.x0)&&i(m.y0)&&(h=ht(m),(!nt.vLinePoint||nt.vLinePoint.spikeDistance>h.spikeDistance)&&(nt.vLinePoint=h))}var g=f.filter((function(t){return t.ya.showspikes&&"hovered data"!==t.ya.spikesnap}));if(g.length){var x=g[0];i(x.x0)&&i(x.y0)&&(h=ht(x),(!nt.hLinePoint||nt.hLinePoint.spikeDistance>h.spikeDistance)&&(nt.hLinePoint=h))}}}}}function ft(t,e,r){for(var n,i=null,a=1/0,o=0;o<t.length;o++)n=t[o].spikeDistance,r&&0===o&&(n=-1/0),n<=a&&n<=e&&(i=t[o],a=n);return i}function ht(t){return t?{xa:t.xa,ya:t.ya,x:void 0!==t.xSpike?t.xSpike:(t.x0+t.x1)/2,y:void 0!==t.ySpike?t.ySpike:(t.y0+t.y1)/2,distance:t.distance,spikeDistance:t.spikeDistance,curveNumber:t.trace.index,color:t.color,pointNumber:t.index}:null}ut();var pt={fullLayout:u,container:u._hoverlayer,event:e},dt=t._spikepoints,mt={vLinePoint:nt.vLinePoint,hLinePoint:nt.hLinePoint};t._spikepoints=mt;var gt=function(){et.sort((function(t,e){return t.distance-e.distance})),et=function(t,e){for(var r=e.charAt(0),n=[],i=[],a=[],o=0;o<t.length;o++){var s=t[o];g.traceIs(s.trace,"bar-like")||g.traceIs(s.trace,"box-violin")?a.push(s):s.trace[r+"period"]?i.push(s):n.push(s)}return n.concat(i).concat(a)}(et,P)};gt();var vt=P.charAt(0),yt=("x"===vt||"y"===vt)&&et[0]&&L[et[0].trace.type];if(y&&0!==B&&0!==et.length){var xt=ft(et.filter((function(t){return t.ya.showspikes})),B,yt);nt.hLinePoint=ht(xt);var bt=ft(et.filter((function(t){return t.xa.showspikes})),B,yt);nt.vLinePoint=ht(bt)}if(0===et.length){var _t=d.unhoverRaw(t,e);return!y||null===nt.hLinePoint&&null===nt.vLinePoint||F(dt)&&R(t,nt,pt),_t}y&&F(dt)&&R(t,nt,pt);if(v.isXYhover(J)&&0!==et[0].length&&"splom"!==et[0].trace.type){var wt=et[0],Tt=(et=E[wt.trace.type]?et.filter((function(t){return t.trace.index===wt.trace.index})):[wt]).length,kt=N("x",wt,u),At=N("y",wt,u);ut(kt,At);var Mt,St=[],Et={},Lt=0,Ct=function(t){var e=E[t.trace.type]?C(t):t.trace.index;if(Et[e]){var r=Et[e]-1,n=St[r];r>0&&Math.abs(t.distance)<Math.abs(n.distance)&&(St[r]=t)}else Lt++,Et[e]=Lt,St.push(t)};for(Mt=0;Mt<Tt;Mt++)Ct(et[Mt]);for(Mt=et.length-1;Mt>Tt-1;Mt--)Ct(et[Mt]);et=St,gt()}var Pt=t._hoverdata,It=[],Ot=j(t),zt=U(t);for(q=0;q<et.length;q++){var Dt=et[q],Rt=v.makeEventData(Dt,Dt.trace,Dt.cd);if(!1!==Dt.hovertemplate){var Ft=!1;Dt.cd[Dt.index]&&Dt.cd[Dt.index].ht&&(Ft=Dt.cd[Dt.index].ht),Dt.hovertemplate=Ft||Dt.trace.hovertemplate||!1}if(Dt.xa&&Dt.ya){var Bt=Dt.x0+Dt.xa._offset,Nt=Dt.x1+Dt.xa._offset,jt=Dt.y0+Dt.ya._offset,Ut=Dt.y1+Dt.ya._offset,Vt=Math.min(Bt,Nt),Ht=Math.max(Bt,Nt),qt=Math.min(jt,Ut),Gt=Math.max(jt,Ut);Rt.bbox={x0:Vt+zt,x1:Ht+zt,y0:qt+Ot,y1:Gt+Ot}}Dt.eventData=[Rt],It.push(Rt)}t._hoverdata=It;var Yt="y"===P&&(rt.length>1||et.length>1)||"closest"===P&&it&&et.length>1,Wt=p.combine(u.plot_bgcolor||p.background,u.paper_bgcolor),Zt=I(et,{gd:t,hovermode:P,rotateLabels:Yt,bgColor:Wt,container:u._hoverlayer,outerContainer:u._paper.node(),commonLabelOpts:u.hoverlabel,hoverdistance:u.hoverdistance});v.isUnifiedHover(P)||(!function(t,e,r){var n,i,a,o,s,l,c,u=0,f=1,h=t.size(),p=new Array(h),d=0;function m(t){var e=t[0],r=t[t.length-1];if(i=e.pmin-e.pos-e.dp+e.size,a=r.pos+r.dp+r.size-e.pmax,i>.01){for(s=t.length-1;s>=0;s--)t[s].dp+=i;n=!1}if(!(a<.01)){if(i<-.01){for(s=t.length-1;s>=0;s--)t[s].dp-=a;n=!1}if(n){var c=0;for(o=0;o<t.length;o++)(l=t[o]).pos+l.dp+l.size>e.pmax&&c++;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos>e.pmax-1&&(l.del=!0,c--);for(o=0;o<t.length&&!(c<=0);o++)if((l=t[o]).pos<e.pmin+1)for(l.del=!0,c--,a=2*l.size,s=t.length-1;s>=0;s--)t[s].dp-=a;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos+l.dp+l.size>e.pmax&&(l.del=!0,c--)}}}t.each((function(t){var n=t[e],i="x"===n._id.charAt(0),a=n.range;0===d&&a&&a[0]>a[1]!==i&&(f=-1),p[d++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(i?T:1)/2,pmin:0,pmax:i?r.width:r.height}]})),p.sort((function(t,e){return t[0].posref-e[0].posref||f*(e[0].traceIndex-t[0].traceIndex)}));for(;!n&&u<=h;){for(u++,n=!0,o=0;o<p.length-1;){var g=p[o],v=p[o+1],y=g[g.length-1],x=v[0];if((i=y.pos+y.dp+y.size-x.pos-x.dp+x.size)>.01&&y.pmin===x.pmin&&y.pmax===x.pmax){for(s=v.length-1;s>=0;s--)v[s].dp+=i;for(g.push.apply(g,v),p.splice(o+1,1),c=0,s=g.length-1;s>=0;s--)c+=g[s].dp;for(a=c/g.length,s=g.length-1;s>=0;s--)g[s].dp-=a;n=!1}else o++}p.forEach(m)}for(o=p.length-1;o>=0;o--){var b=p[o];for(s=b.length-1;s>=0;s--){var _=b[s],w=_.datum;w.offset=_.dp,w.del=_.del}}}(Zt,Yt?"xa":"ya",u),z(Zt,Yt,u._invScaleX,u._invScaleY));if(s&&s.tagName){var Xt=g.getComponentMethod("annotations","hasClickToShow")(t,It);f(n.select(s),Xt?"pointer":"")}if(!s||a||!function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Pt))return;Pt&&t.emit("plotly_unhover",{event:e,points:Pt});t.emit("plotly_hover",{event:e,points:t._hoverdata,xaxes:_,yaxes:w,xvals:V,yvals:H})}(t,e,r,a,s)}))},r.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=j(i),o=U(i),s=I(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,c=t.eventData;if(c){var u=Math.min(r,n),f=Math.max(r,n),h=Math.min(s,l),d=Math.max(s,l),m=t.trace;if(g.traceIs(m,"gl3d")){var v=i._fullLayout[m.scene]._scene.container,y=v.offsetLeft,x=v.offsetTop;u+=y,f+=y,h+=x,d+=x}c.bbox={x0:u+o,x1:f+o,y0:h+a,y1:d+a},e.inOut_bbox&&e.inOut_bbox.push(c.bbox)}else c=!1;return{color:t.color||p.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:""},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:c}})),{gd:i,hovermode:"closest",rotateLabels:!1,bgColor:e.bgColor||p.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}),l=0,c=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5<l?l-n+5:0,l=n+t.by+t.offset,r===e.anchorIndex&&(c=t.offset)})).each((function(t){t.offset-=c})),z(s,!1,i._fullLayout._invScaleX,i._fullLayout._invScaleY),r?s:s.node()};var P=/<extra>([\s\S]*)<\/extra>/;function I(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,c=e.rotateLabels,f=e.bgColor,d=e.container,m=e.outerContainer,w=e.commonLabelOpts||{};if(0===t.length)return[[]];var T=e.fontFamily||y.HOVERFONT,k=e.fontSize||y.HOVERFONTSIZE,A=t[0],E=A.xa,L=A.ya,P=a.charAt(0),I=A[P+"Label"],z=V(r,m),D=z.top,R=z.width,F=z.height,B=void 0!==I&&A.distance<=e.hoverdistance&&("x"===a||"y"===a);if(B){var N,j,U=!0;for(N=0;N<t.length;N++)if(U&&void 0===t[N].zLabel&&(U=!1),j=t[N].hoverinfo||t[N].trace.hoverinfo){var H=Array.isArray(j)?j:j.split("+");if(-1===H.indexOf("all")&&-1===H.indexOf(a)){B=!1;break}}U&&(B=!1)}var q=d.selectAll("g.axistext").data(B?[0]:[]);if(q.enter().append("g").classed("axistext",!0),q.exit().remove(),q.each((function(){var t=n.select(this),e=o.ensureSingle(t,"path","",(function(t){t.style({"stroke-width":"1px"})})),l=o.ensureSingle(t,"text","",(function(t){t.attr("data-notex",1)})),c=w.bgcolor||p.defaultLine,f=w.bordercolor||p.contrast(c),d=p.contrast(c),m={family:w.font.family||T,size:w.font.size||k,color:w.font.color||d};e.style({fill:c,stroke:f}),l.text(I).call(h.font,m).call(u.positionText,0,0).call(u.convertToTspans,r),t.attr("transform","");var g,v,y=V(r,l.node());if("x"===a){var x="top"===E.side?"-":"";l.attr("text-anchor","middle").call(u.positionText,0,"top"===E.side?D-y.bottom-M-S:D-y.top+M+S),g=E._offset+(A.x0+A.x1)/2,v=L._offset+("top"===E.side?0:L._length);var b=y.width/2+S;g<b?(g=b,e.attr("d","M-"+(b-M)+",0L-"+(b-2*M)+","+x+M+"H"+(S+y.width/2)+"v"+x+(2*S+y.height)+"H-"+b+"V"+x+M+"Z")):g>i.width-b?(g=i.width-b,e.attr("d","M"+(b-M)+",0L"+b+","+x+M+"v"+x+(2*S+y.height)+"H-"+b+"V"+x+M+"H"+(b-2*M)+"Z")):e.attr("d","M0,0L"+M+","+x+M+"H"+(S+y.width/2)+"v"+x+(2*S+y.height)+"H-"+(S+y.width/2)+"V"+x+M+"H-"+M+"Z")}else{var _,C,P;"right"===L.side?(_="start",C=1,P="",g=E._offset+E._length):(_="end",C=-1,P="-",g=E._offset),v=L._offset+(A.y0+A.y1)/2,l.attr("text-anchor",_),e.attr("d","M0,0L"+P+M+","+M+"V"+(S+y.height/2)+"h"+P+(2*S+y.width)+"V-"+(S+y.height/2)+"H"+P+M+"V-"+M+"Z");var O,z=y.height/2,R=D-y.top-z,F="clip"+i._uid+"commonlabel"+L._id;if(g<y.width+2*S+M){O="M-"+(M+S)+"-"+z+"h-"+(y.width-S)+"V"+z+"h"+(y.width-S)+"Z";var B=y.width-g+S;u.positionText(l,B,R),"end"===_&&l.selectAll("tspan").each((function(){var t=n.select(this),e=h.tester.append("text").text(t.text()).call(h.font,m),i=V(r,e.node());Math.round(i.width)<Math.round(y.width)&&t.attr("x",B-i.width),e.remove()}))}else u.positionText(l,C*(S+M),R),O=null;var N=i._topclips.selectAll("#"+F).data(O?[0]:[]);N.enter().append("clipPath").attr("id",F).append("path"),N.exit().remove(),N.select("path").attr("d",O),h.setClipUrl(l,O?F:null,r)}t.attr("transform",s(g,v))})),v.isUnifiedHover(a)){d.selectAll("g.hovertext").remove();var G=t.filter((function(t){return"none"!==t.hoverinfo}));if(0===G.length)return;var Y=i.hoverlabel,W=Y.font,Z={showlegend:!0,legend:{title:{text:I,font:W},font:W,bgcolor:Y.bgcolor,bordercolor:Y.bordercolor,borderwidth:1,tracegroupgap:7,traceorder:i.legend?i.legend.traceorder:void 0,orientation:"v"}},X={font:W};x(Z,X,r._fullData);var J=X.legend;J.entries=[];for(var K=0;K<G.length;K++){var Q=G[K];if("none"!==Q.hoverinfo){var $=O(Q,!0,a,i,I),tt=$[0],et=$[1];Q.name=et,Q.text=""!==et?et+" : "+tt:tt;var rt=Q.cd[Q.index];rt&&(rt.mc&&(Q.mc=rt.mc),rt.mcc&&(Q.mc=rt.mcc),rt.mlc&&(Q.mlc=rt.mlc),rt.mlcc&&(Q.mlc=rt.mlcc),rt.mlw&&(Q.mlw=rt.mlw),rt.mrc&&(Q.mrc=rt.mrc),rt.dir&&(Q.dir=rt.dir)),Q._distinct=!0,J.entries.push([Q])}}J.entries.sort((function(t,e){return t[0].trace.index-e[0].trace.index})),J.layer=d,J._inHover=!0,J._groupTitleFont=Y.grouptitlefont,b(r,J);var nt,it,at,ot,st=d.select("g.legend"),lt=V(r,st.node()),ct=lt.width+2*S,ut=lt.height+2*S,ft=G[0],ht=(ft.x0+ft.x1)/2,pt=(ft.y0+ft.y1)/2,dt=!(g.traceIs(ft.trace,"bar-like")||g.traceIs(ft.trace,"box-violin"));"y"===P?dt?(it=pt-S,nt=pt+S):(it=Math.min.apply(null,G.map((function(t){return Math.min(t.y0,t.y1)}))),nt=Math.max.apply(null,G.map((function(t){return Math.max(t.y0,t.y1)})))):it=nt=o.mean(G.map((function(t){return(t.y0+t.y1)/2})))-ut/2,"x"===P?dt?(at=ht+S,ot=ht-S):(at=Math.max.apply(null,G.map((function(t){return Math.max(t.x0,t.x1)}))),ot=Math.min.apply(null,G.map((function(t){return 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n=t("../../plots/cartesian/constants"),i=t("../../plot_api/plot_template").templatedArray;t("../../constants/axis_placeable_objects");e.exports=i("image",{visible:{valType:"boolean",dflt:!0,editType:"arraydraw"},source:{valType:"string",editType:"arraydraw"},layer:{valType:"enumerated",values:["below","above"],dflt:"above",editType:"arraydraw"},sizex:{valType:"number",dflt:0,editType:"arraydraw"},sizey:{valType:"number",dflt:0,editType:"arraydraw"},sizing:{valType:"enumerated",values:["fill","contain","stretch"],dflt:"contain",editType:"arraydraw"},opacity:{valType:"number",min:0,max:1,dflt:1,editType:"arraydraw"},x:{valType:"any",dflt:0,editType:"arraydraw"},y:{valType:"any",dflt:0,editType:"arraydraw"},xanchor:{valType:"enumerated",values:["left","center","right"],dflt:"left",editType:"arraydraw"},yanchor:{valType:"enumerated",values:["top","middle","bottom"],dflt:"top",editType:"arraydraw"},xref:{valType:"enumerated",values:["paper",n.idRegex.x.toString()],dflt:"paper",editType:"arraydraw"},yref:{valType:"enumerated",values:["paper",n.idRegex.y.toString()],dflt:"paper",editType:"arraydraw"},editType:"arraydraw"})},{"../../constants/axis_placeable_objects":484,"../../plot_api/plot_template":555,"../../plots/cartesian/constants":573}],413:[function(t,e,r){"use 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d={left:{sizing:"xMin",offset:0},center:{sizing:"xMid",offset:-.5},right:{sizing:"xMax",offset:-1}},m={top:{sizing:"YMin",offset:0},middle:{sizing:"YMid",offset:-.5},bottom:{sizing:"YMax",offset:-1}};function g(e){var r=n.select(this);if(this._imgSrc!==e.source)if(r.attr("xmlns",s.svg),e.source&&"data:"===e.source.slice(0,5))r.attr("xlink:href",e.source),this._imgSrc=e.source;else{var i=new Promise(function(t){var n=new Image;function i(){r.remove(),t()}this.img=n,n.setAttribute("crossOrigin","anonymous"),n.onerror=i,n.onload=function(){var e=document.createElement("canvas");e.width=this.width,e.height=this.height,e.getContext("2d",{willReadFrequently:!0}).drawImage(this,0,0);var n=e.toDataURL("image/png");r.attr("xlink:href",n),t()},r.on("error",i),n.src=e.source,this._imgSrc=e.source}.bind(this));t._promises.push(i)}}function v(e){var r,o,s=n.select(this),c=a.getFromId(t,e.xref),u=a.getFromId(t,e.yref),f="domain"===a.getRefType(e.xref),h="domain"===a.getRefType(e.yref),p=l._size;r=void 0!==c?"string"==typeof e.xref&&f?c._length*e.sizex:Math.abs(c.l2p(e.sizex)-c.l2p(0)):e.sizex*p.w,o=void 0!==u?"string"==typeof e.yref&&h?u._length*e.sizey:Math.abs(u.l2p(e.sizey)-u.l2p(0)):e.sizey*p.h;var g,v,y=r*d[e.xanchor].offset,x=o*m[e.yanchor].offset,b=d[e.xanchor].sizing+m[e.yanchor].sizing;switch(g=void 0!==c?"string"==typeof e.xref&&f?c._length*e.x+c._offset:c.r2p(e.x)+c._offset:e.x*p.w+p.l,g+=y,v=void 0!==u?"string"==typeof e.yref&&h?u._length*(1-e.y)+u._offset:u.r2p(e.y)+u._offset:p.h-e.y*p.h+p.t,v+=x,e.sizing){case"fill":b+=" slice";break;case"stretch":b="none"}s.attr({x:g,y:v,width:r,height:o,preserveAspectRatio:b,opacity:e.opacity});var _=(c&&"domain"!==a.getRefType(e.xref)?c._id:"")+(u&&"domain"!==a.getRefType(e.yref)?u._id:"");i.setClipUrl(s,_?"clip"+l._uid+_:null,t)}var y=l._imageLowerLayer.selectAll("image").data(f),x=l._imageUpperLayer.selectAll("image").data(c);y.enter().append("image"),x.enter().append("image"),y.exit().remove(),x.exit().remove(),y.each((function(t){g.bind(this)(t),v.bind(this)(t)})),x.each((function(t){g.bind(this)(t),v.bind(this)(t)}));var b=Object.keys(l._plots);for(r=0;r<b.length;r++){e=b[r];var _=l._plots[e];if(_.imagelayer){var w=_.imagelayer.selectAll("image").data(u[e]||[]);w.enter().append("image"),w.exit().remove(),w.each((function(t){g.bind(this)(t),v.bind(this)(t)}))}}}},{"../../constants/xmlns_namespaces":492,"../../plots/cartesian/axes":566,"../../plots/cartesian/axis_ids":570,"../drawing":389,"@plotly/d3":58}],416:[function(t,e,r){"use 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n=t("../../plots/font_attributes"),i=t("../color/attributes");e.exports={bgcolor:{valType:"color",editType:"legend"},bordercolor:{valType:"color",dflt:i.defaultLine,editType:"legend"},borderwidth:{valType:"number",min:0,dflt:0,editType:"legend"},font:n({editType:"legend"}),grouptitlefont:n({editType:"legend"}),orientation:{valType:"enumerated",values:["v","h"],dflt:"v",editType:"legend"},traceorder:{valType:"flaglist",flags:["reversed","grouped"],extras:["normal"],editType:"legend"},tracegroupgap:{valType:"number",min:0,dflt:10,editType:"legend"},entrywidth:{valType:"number",min:0,editType:"legend"},entrywidthmode:{valType:"enumerated",values:["fraction","pixels"],dflt:"pixels",editType:"legend"},itemsizing:{valType:"enumerated",values:["trace","constant"],dflt:"trace",editType:"legend"},itemwidth:{valType:"number",min:30,dflt:30,editType:"legend"},itemclick:{valType:"enumerated",values:["toggle","toggleothers",!1],dflt:"toggle",editType:"legend"},itemdoubleclick:{valType:"enumerated",values:["toggle","toggleothers",!1],dflt:"toggleothers",editType:"legend"},groupclick:{valType:"enumerated",values:["toggleitem","togglegroup"],dflt:"togglegroup",editType:"legend"},x:{valType:"number",min:-2,max:3,editType:"legend"},xanchor:{valType:"enumerated",values:["auto","left","center","right"],dflt:"left",editType:"legend"},y:{valType:"number",min:-2,max:3,editType:"legend"},yanchor:{valType:"enumerated",values:["auto","top","middle","bottom"],editType:"legend"},uirevision:{valType:"any",editType:"none"},valign:{valType:"enumerated",values:["top","middle","bottom"],dflt:"middle",editType:"legend"},title:{text:{valType:"string",dflt:"",editType:"legend"},font:n({editType:"legend"}),side:{valType:"enumerated",values:["top","left","top 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n=t("@plotly/d3"),i=t("../../lib"),a=t("../../plots/plots"),o=t("../../registry"),s=t("../../lib/events"),l=t("../dragelement"),c=t("../drawing"),u=t("../color"),f=t("../../lib/svg_text_utils"),h=t("./handle_click"),p=t("./constants"),d=t("../../constants/alignment"),m=d.LINE_SPACING,g=d.FROM_TL,v=d.FROM_BR,y=t("./get_legend_data"),x=t("./style"),b=t("./helpers");function _(t,e,r){var n=t[0],i=n.width,a=e.entrywidthmode,o=n.trace.legendwidth||e.entrywidth;return"fraction"===a?e._maxWidth*o:r+(o||i)}function w(t,e,r,n,i){var a=r.data()[0][0].trace,l={event:i,node:r.node(),curveNumber:a.index,expandedIndex:a._expandedIndex,data:t.data,layout:t.layout,frames:t._transitionData._frames,config:t._context,fullData:t._fullData,fullLayout:t._fullLayout};if(a._group&&(l.group=a._group),o.traceIs(a,"pie-like")&&(l.label=r.datum()[0].label),!1!==s.triggerHandler(t,"plotly_legendclick",l))if(1===n)e._clickTimeout=setTimeout((function(){t._fullLayout&&h(r,t,n)}),t._context.doubleClickDelay);else 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n}(t))}},u.resetViewMapbox={name:"resetViewMapbox",_cat:"resetView",title:function(t){return c(t,"Reset view")},attr:"reset",icon:o.home,click:function(t){x(t,"mapbox")}},u.zoomInMapbox={name:"zoomInMapbox",_cat:"zoomin",title:function(t){return c(t,"Zoom in")},attr:"zoom",val:"in",icon:o.zoom_plus,click:y},u.zoomOutMapbox={name:"zoomOutMapbox",_cat:"zoomout",title:function(t){return c(t,"Zoom out")},attr:"zoom",val:"out",icon:o.zoom_minus,click:y}},{"../../fonts/ploticon":494,"../../lib":515,"../../plots/cartesian/axis_ids":570,"../../plots/plots":628,"../../registry":647,"../shapes/draw":462}],428:[function(t,e,r){"use strict";var n=t("./buttons"),i=Object.keys(n),a=["drawline","drawopenpath","drawclosedpath","drawcircle","drawrect","eraseshape"],o=["v1hovermode","hoverclosest","hovercompare","togglehover","togglespikelines"].concat(a),s=[];i.forEach((function(t){!function(t){if(-1===o.indexOf(t._cat||t.name)){var 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r=this.graphInfo._context,n=this.graphInfo._fullLayout,i="modebar-"+n._uid;this.element.setAttribute("id",i),this._uid=i,this.element.className="modebar","hover"===r.displayModeBar&&(this.element.className+=" modebar--hover ease-bg"),"v"===n.modebar.orientation&&(this.element.className+=" vertical",e=e.reverse());var o=n.modebar,s="hover"===r.displayModeBar?".js-plotly-plot .plotly:hover ":"";a.deleteRelatedStyleRule(i),a.addRelatedStyleRule(i,s+"#"+i+" .modebar-group","background-color: "+o.bgcolor),a.addRelatedStyleRule(i,"#"+i+" .modebar-btn .icon path","fill: "+o.color),a.addRelatedStyleRule(i,"#"+i+" .modebar-btn:hover .icon path","fill: "+o.activecolor),a.addRelatedStyleRule(i,"#"+i+" .modebar-btn.active .icon path","fill: "+o.activecolor);var l=!this.hasButtons(e),c=this.hasLogo!==r.displaylogo,u=this.locale!==r.locale;if(this.locale=r.locale,(l||c||u)&&(this.removeAllButtons(),this.updateButtons(e),r.watermark||r.displaylogo)){var f=this.getLogo();r.watermark&&(f.className=f.className+" watermark"),"v"===n.modebar.orientation?this.element.insertBefore(f,this.element.childNodes[0]):this.element.appendChild(f),this.hasLogo=!0}this.updateActiveButton()},u.updateButtons=function(t){var e=this;this.buttons=t,this.buttonElements=[],this.buttonsNames=[],this.buttons.forEach((function(t){var r=e.createGroup();t.forEach((function(t){var n=t.name;if(!n)throw new Error("must provide button 'name' in button config");if(-1!==e.buttonsNames.indexOf(n))throw new Error("button name '"+n+"' is taken");e.buttonsNames.push(n);var i=e.createButton(t);e.buttonElements.push(i),r.appendChild(i)})),e.element.appendChild(r)}))},u.createGroup=function(){var t=document.createElement("div");return t.className="modebar-group",t},u.createButton=function(t){var e=this,r=document.createElement("a");r.setAttribute("rel","tooltip"),r.className="modebar-btn";var i=t.title;void 0===i?i=t.name:"function"==typeof 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a=document.createElementNS(n,"path");a.setAttribute("d",t.path),t.transform?a.setAttribute("transform",t.transform):void 0!==t.ascent&&a.setAttribute("transform","matrix(1 0 0 -1 0 "+t.ascent+")"),e.appendChild(a)}t.svg&&(e=l.parseFromString(t.svg,"application/xml").childNodes[0]);return e.setAttribute("height","1em"),e.setAttribute("width","1em"),e},u.updateActiveButton=function(t){var e=this.graphInfo._fullLayout,r=void 0!==t?t.getAttribute("data-attr"):null;this.buttonElements.forEach((function(t){var i=t.getAttribute("data-val")||!0,o=t.getAttribute("data-attr"),s="true"===t.getAttribute("data-toggle"),l=n.select(t);if(s)o===r&&l.classed("active",!l.classed("active"));else{var c=null===o?o:a.nestedProperty(e,o).get();l.classed("active",c===i)}}))},u.hasButtons=function(t){var e=this.buttons;if(!e)return!1;if(t.length!==e.length)return!1;for(var r=0;r<t.length;++r){if(t[r].length!==e[r].length)return!1;for(var 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n=t("../../plots/font_attributes"),i=t("../color/attributes"),a=(0,t("../../plot_api/plot_template").templatedArray)("button",{visible:{valType:"boolean",dflt:!0,editType:"plot"},step:{valType:"enumerated",values:["month","year","day","hour","minute","second","all"],dflt:"month",editType:"plot"},stepmode:{valType:"enumerated",values:["backward","todate"],dflt:"backward",editType:"plot"},count:{valType:"number",min:0,dflt:1,editType:"plot"},label:{valType:"string",editType:"plot"},editType:"plot"});e.exports={visible:{valType:"boolean",editType:"plot"},buttons:a,x:{valType:"number",min:-2,max:3,editType:"plot"},xanchor:{valType:"enumerated",values:["auto","left","center","right"],dflt:"left",editType:"plot"},y:{valType:"number",min:-2,max:3,editType:"plot"},yanchor:{valType:"enumerated",values:["auto","top","middle","bottom"],dflt:"bottom",editType:"plot"},font:n({editType:"plot"}),bgcolor:{valType:"color",dflt:i.lightLine,editType:"plot"},activecolor:{valType:"color",editType:"plot"},bordercolor:{valType:"color",dflt:i.defaultLine,editType:"plot"},borderwidth:{valType:"number",min:0,dflt:0,editType:"plot"},editType:"plot"}},{"../../plot_api/plot_template":555,"../../plots/font_attributes":594,"../color/attributes":366}],434:[function(t,e,r){"use 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n=l.ensureSingle(t,"rect","selector-rect",(function(t){t.attr("shape-rendering","crispEdges")}));n.attr({rx:g.rx,ry:g.ry}),n.call(o.stroke,e.bordercolor).call(o.fill,function(t,e){return e._isActive||e._isHovered?t.activecolor:t.bgcolor}(e,r)).style("stroke-width",e.borderwidth+"px")}function b(t,e,r,n){l.ensureSingle(t,"text","selector-text",(function(t){t.attr("text-anchor","middle")})).call(s.font,e.font).text(function(t,e){if(t.label)return e?l.templateString(t.label,e):t.label;return"all"===t.step?"all":t.count+t.step.charAt(0)}(r,n._fullLayout._meta)).call((function(t){u.convertToTspans(t,n)}))}e.exports=function(t){var e=t._fullLayout._infolayer.selectAll(".rangeselector").data(function(t){for(var e=f.list(t,"x",!0),r=[],n=0;n<e.length;n++){var i=e[n];i.rangeselector&&i.rangeselector.visible&&r.push(i)}return r}(t),y);e.enter().append("g").classed("rangeselector",!0),e.exit().remove(),e.style({cursor:"pointer","pointer-events":"all"}),e.each((function(e){var 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n=t("../annotations/attributes"),i=t("../../traces/scatter/attributes").line,a=t("../drawing/attributes").dash,o=t("../../lib/extend").extendFlat,s=t("../../plot_api/edit_types").overrideAll,l=t("../../plot_api/plot_template").templatedArray;t("../../constants/axis_placeable_objects");e.exports=s(l("selection",{type:{valType:"enumerated",values:["rect","path"]},xref:o({},n.xref,{}),yref:o({},n.yref,{}),x0:{valType:"any"},x1:{valType:"any"},y0:{valType:"any"},y1:{valType:"any"},path:{valType:"string",editType:"arraydraw"},opacity:{valType:"number",min:0,max:1,dflt:.7,editType:"arraydraw"},line:{color:i.color,width:o({},i.width,{min:1,dflt:1}),dash:o({},a,{dflt:"dot"})}}),"arraydraw","from-root")},{"../../constants/axis_placeable_objects":484,"../../lib/extend":505,"../../plot_api/edit_types":548,"../../plot_api/plot_template":555,"../../traces/scatter/attributes":936,"../annotations/attributes":350,"../drawing/attributes":388}],448:[function(t,e,r){"use 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r=e.selections,n=0;n<r.length;n++){var i=r[n];i&&(void 0===i.path&&(void 0!==i.x0&&void 0!==i.x1&&void 0!==i.y0&&void 0!==i.y1||(e.selections[n]=null)))}}},{"../../lib":515,"../../plots/array_container_defaults":561,"../../plots/cartesian/axes":566,"../shapes/helpers":469,"./attributes":447}],450:[function(t,e,r){"use strict";var n=t("../shapes/draw_newshape/helpers").readPaths,i=t("../shapes/display_outlines"),a=t("../shapes/handle_outline").clearOutlineControllers,o=t("../color"),s=t("../drawing"),l=t("../../plot_api/plot_template").arrayEditor,c=t("../shapes/helpers"),u=c.getPathString;function f(t){var e=t._fullLayout;for(var r in a(t),e._selectionLayer.selectAll("path").remove(),e._plots){var n=e._plots[r].selectionLayer;n&&n.selectAll("path").remove()}for(var i=0;i<e.selections.length;i++)p(t,i)}function h(t){return t._context.editSelection}function p(t,e){t._fullLayout._paperdiv.selectAll('.selectionlayer [data-index="'+e+'"]').remove();var r=c.makeSelectionsOptionsAndPlotinfo(t,e),a=r.options,p=r.plotinfo;a._input&&function(r){var c=u(t,a),g={"data-index":e,"fill-rule":"evenodd",d:c},v=a.opacity,y="rgba(0,0,0,0)",x=a.line.color||o.contrast(t._fullLayout.plot_bgcolor),b=a.line.width,_=a.line.dash;b||(b=5,_="solid");var w=h(t)&&t._fullLayout._activeSelectionIndex===e;w&&(y=t._fullLayout.activeselection.fillcolor,v=t._fullLayout.activeselection.opacity);for(var T=[],k=1;k>=0;k--){var A=r.append("path").attr(g).style("opacity",k?.1:v).call(o.stroke,x).call(o.fill,y).call(s.dashLine,k?"solid":_,k?4+b:b);if(d(A,t,a),w){var M=l(t.layout,"selections",a);A.style({cursor:"move"});var S={element:A.node(),plotinfo:p,gd:t,editHelpers:M,isActiveSelection:!0},E=n(c,t);i(E,A,S)}else A.style("pointer-events",k?"all":"none");T[k]=A}var L=T[0];T[1].node().addEventListener("click",(function(){return function(t,e){if(!h(t))return;var r=+e.node().getAttribute("data-index");if(r>=0){if(r===t._fullLayout._activeSelectionIndex)return void m(t);t._fullLayout._activeSelectionIndex=r,t._fullLayout._deactivateSelection=m,f(t)}}(t,L)}))}(t._fullLayout._selectionLayer)}function d(t,e,r){var n=r.xref+r.yref;s.setClipUrl(t,"clip"+e._fullLayout._uid+n,e)}function m(t){h(t)&&(t._fullLayout._activeSelectionIndex>=0&&(a(t),delete t._fullLayout._activeSelectionIndex,f(t)))}e.exports={draw:f,drawOne:p,activateLastSelection:function(t){if(!h(t))return;var e=t._fullLayout.selections.length-1;t._fullLayout._activeSelectionIndex=e,t._fullLayout._deactivateSelection=m,f(t)}}},{"../../plot_api/plot_template":555,"../color":367,"../drawing":389,"../shapes/display_outlines":461,"../shapes/draw_newshape/helpers":466,"../shapes/handle_outline":468,"../shapes/helpers":469}],451:[function(t,e,r){"use strict";var n=t("../../drawing/attributes").dash,i=t("../../../lib/extend").extendFlat;e.exports={newselection:{mode:{valType:"enumerated",values:["immediate","gradual"],dflt:"immediate",editType:"none"},line:{color:{valType:"color",editType:"none"},width:{valType:"number",min:1,dflt:1,editType:"none"},dash:i({},n,{dflt:"dot",editType:"none"}),editType:"none"},editType:"none"},activeselection:{fillcolor:{valType:"color",dflt:"rgba(0,0,0,0)",editType:"none"},opacity:{valType:"number",min:0,max:1,dflt:.5,editType:"none"},editType:"none"}}},{"../../../lib/extend":505,"../../drawing/attributes":388}],452:[function(t,e,r){"use strict";e.exports=function(t,e,r){r("newselection.mode"),r("newselection.line.width")&&(r("newselection.line.color"),r("newselection.line.dash")),r("activeselection.fillcolor"),r("activeselection.opacity")}},{}],453:[function(t,e,r){"use strict";var n=t("../../dragelement/helpers").selectMode,i=t("../../shapes/handle_outline").clearOutline,a=t("../../shapes/draw_newshape/helpers"),o=a.readPaths,s=a.writePaths,l=a.fixDatesForPaths;e.exports=function(t,e){if(t.length){var r=t[0][0];if(r){var a=r.getAttribute("d"),c=e.gd,u=c._fullLayout.newselection,f=e.plotinfo,h=f.xaxis,p=f.yaxis,d=e.isActiveSelection,m=e.dragmode,g=(c.layout||{}).selections||[];if(!n(m)&&void 0!==d){var v=c._fullLayout._activeSelectionIndex;if(v<g.length)switch(c._fullLayout.selections[v].type){case"rect":m="select";break;case"path":m="lasso"}}var y,x=o(a,c,f,d),b={xref:h._id,yref:p._id,opacity:u.opacity,line:{color:u.line.color,width:u.line.width,dash:u.line.dash}};1===x.length&&(y=x[0]),y&&5===y.length&&"select"===m?(b.type="rect",b.x0=y[0][1],b.y0=y[0][2],b.x1=y[2][1],b.y1=y[2][2]):(b.type="path",h&&p&&l(x,h,p),b.path=s(x),y=null),i(c);for(var _=e.editHelpers,w=(_||{}).modifyItem,T=[],k=0;k<g.length;k++){var 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n=t("./draw"),i=t("./select");e.exports={moduleType:"component",name:"selections",layoutAttributes:t("./attributes"),supplyLayoutDefaults:t("./defaults"),supplyDrawNewSelectionDefaults:t("./draw_newselection/defaults"),includeBasePlot:t("../../plots/cartesian/include_components")("selections"),draw:n.draw,drawOne:n.drawOne,reselect:i.reselect,prepSelect:i.prepSelect,clearOutline:i.clearOutline,clearSelectionsCache:i.clearSelectionsCache,selectOnClick:i.selectOnClick}},{"../../plots/cartesian/include_components":577,"./attributes":447,"./defaults":449,"./draw":450,"./draw_newselection/defaults":452,"./select":456}],456:[function(t,e,r){"use strict";var n=t("polybooljs"),i=t("point-in-polygon/nested"),a=t("../../registry"),o=t("../drawing").dashStyle,s=t("../color"),l=t("../fx"),c=t("../fx/helpers").makeEventData,u=t("../dragelement/helpers"),f=u.freeMode,h=u.rectMode,p=u.drawMode,d=u.openMode,m=u.selectMode,g=t("../shapes/helpers"),v=t("../shapes/constants"),y=t("../shapes/display_outlines"),x=t("../shapes/handle_outline").clearOutline,b=t("../shapes/draw_newshape/helpers"),_=b.handleEllipse,w=b.readPaths,T=t("../shapes/draw_newshape/newshapes"),k=t("./draw_newselection/newselections"),A=t("./draw").activateLastSelection,M=t("../../lib"),S=M.sorterAsc,E=t("../../lib/polygon"),L=t("../../lib/throttle"),C=t("../../plots/cartesian/axis_ids").getFromId,P=t("../../lib/clear_gl_canvases"),I=t("../../plot_api/subroutines").redrawReglTraces,O=t("./constants"),z=O.MINSELECT,D=E.filter,R=E.tester,F=t("./helpers"),B=F.p2r,N=F.axValue,j=F.getTransform;function U(t){return void 0!==t.subplot}function V(t,e,r,n,i,a,o){var 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e,r,n,i=0;for(n=0;n<t.length;n++)if(e=t[n],(r=e.cd[0].trace).selectedpoints){if(r.selectedpoints.length>1)return!1;if((i+=r.selectedpoints.length)>1)return!1}return 1===i}(s)&&(h=K(_))){for(o&&o.remove(),g=0;g<s.length;g++)(l=s[g])._module.selectPoints(l,!1);Q(e,s),W(a),x&&ht(e)}else{for(p=t.shiftKey&&(void 0!==h?h:K(_)),c=function(t,e,r){return{pointNumber:t,searchInfo:e,subtract:!!r}}(_.pointNumber,_.searchInfo,p),u=G(a.selectionDefs.concat([c])),g=0;g<s.length;g++)if(f=tt(s[g]._module.selectPoints(s[g],u),s[g]),b.length)for(var w=0;w<f.length;w++)b.push(f[w]);else b=f;if(Q(e,s,m={points:b}),c&&a&&a.selectionDefs.push(c),o){var T=a.mergedPolygons,k=d(a.dragmode);y(et(T,k),o,a)}x&&ft(e,m)}}}function H(t){return"pointNumber"in t&&"searchInfo"in t}function q(t){return{xmin:0,xmax:0,ymin:0,ymax:0,pts:[],contains:function(e,r,n,i){var a=t.searchInfo.cd[0].trace._expandedIndex;return 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r=t.dragmode,n=t.plotinfo,i=t.gd;(function(t){return t._fullLayout._activeShapeIndex>=0})(i)&&i._fullLayout._deactivateShape(i),function(t){return t._fullLayout._activeSelectionIndex>=0}(i)&&i._fullLayout._deactivateSelection(i);var o=i._fullLayout._zoomlayer,s=p(r),l=m(r);if(s||l){var c,u,f=o.selectAll(".select-outline-"+n.id);if(f&&i._fullLayout._outlining)s&&(c=T(f,t)),c&&a.call("_guiRelayout",i,{shapes:c}),l&&!U(t)&&(u=k(f,t)),u&&(i._fullLayout._noEmitSelectedAtStart=!0,a.call("_guiRelayout",i,{selections:u}).then((function(){e&&A(i)}))),i._fullLayout._outlining=!1}n.selection={},n.selection.selectionDefs=t.selectionDefs=[],n.selection.mergedPolygons=t.mergedPolygons=[]}function Z(t){return t._id}function X(t,e,r,n){if(!t.calcdata)return[];var i,a,o,s=[],l=e.map(Z),c=r.map(Z);for(o=0;o<t.calcdata.length;o++)if(!0===(a=(i=t.calcdata[o])[0].trace).visible&&a._module&&a._module.selectPoints)if(!U({subplot:n})||a.subplot!==n&&a.geo!==n)if("splom"===a.type){if(a._xaxes[l[0]]&&a._yaxes[c[0]]){var u=J(a._module,i,e[0],r[0]);u.scene=t._fullLayout._splomScenes[a.uid],s.push(u)}}else if("sankey"===a.type){var f=J(a._module,i,e[0],r[0]);s.push(f)}else{if(-1===l.indexOf(a.xaxis))continue;if(-1===c.indexOf(a.yaxis))continue;s.push(J(a._module,i,C(t,a.xaxis),C(t,a.yaxis)))}else s.push(J(a._module,i,e[0],r[0]));return s}function J(t,e,r,n){return{_module:t,cd:e,xaxis:r,yaxis:n}}function K(t){var e=t.searchInfo.cd[0].trace,r=t.pointNumber,n=t.pointNumbers,i=n.length>0?n[0]:r;return!!e.selectedpoints&&e.selectedpoints.indexOf(i)>-1}function Q(t,e,r){var n,i;for(n=0;n<e.length;n++){var o=e[n].cd[0].trace._fullInput,s=t._fullLayout._tracePreGUI[o.uid]||{};void 0===s.selectedpoints&&(s.selectedpoints=o._input.selectedpoints||null)}if(r){var 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v=t("./search");f.findBin=v.findBin,f.sorterAsc=v.sorterAsc,f.sorterDes=v.sorterDes,f.distinctVals=v.distinctVals,f.roundUp=v.roundUp,f.sort=v.sort,f.findIndexOfMin=v.findIndexOfMin,f.sortObjectKeys=t("./sort_object_keys");var y=t("./stats");f.aggNums=y.aggNums,f.len=y.len,f.mean=y.mean,f.median=y.median,f.midRange=y.midRange,f.variance=y.variance,f.stdev=y.stdev,f.interp=y.interp;var x=t("./matrix");f.init2dArray=x.init2dArray,f.transposeRagged=x.transposeRagged,f.dot=x.dot,f.translationMatrix=x.translationMatrix,f.rotationMatrix=x.rotationMatrix,f.rotationXYMatrix=x.rotationXYMatrix,f.apply3DTransform=x.apply3DTransform,f.apply2DTransform=x.apply2DTransform,f.apply2DTransform2=x.apply2DTransform2,f.convertCssMatrix=x.convertCssMatrix,f.inverseTransformMatrix=x.inverseTransformMatrix;var b=t("./angles");f.deg2rad=b.deg2rad,f.rad2deg=b.rad2deg,f.angleDelta=b.angleDelta,f.angleDist=b.angleDist,f.isFullCircle=b.isFullCircle,f.isAngleInsideSector=b.isAngleInsideSector,f.isPtInsideSector=b.isPtInsideSector,f.pathArc=b.pathArc,f.pathSector=b.pathSector,f.pathAnnulus=b.pathAnnulus;var _=t("./anchor_utils");f.isLeftAnchor=_.isLeftAnchor,f.isCenterAnchor=_.isCenterAnchor,f.isRightAnchor=_.isRightAnchor,f.isTopAnchor=_.isTopAnchor,f.isMiddleAnchor=_.isMiddleAnchor,f.isBottomAnchor=_.isBottomAnchor;var w=t("./geometry2d");f.segmentsIntersect=w.segmentsIntersect,f.segmentDistance=w.segmentDistance,f.getTextLocation=w.getTextLocation,f.clearLocationCache=w.clearLocationCache,f.getVisibleSegment=w.getVisibleSegment,f.findPointOnPath=w.findPointOnPath;var T=t("./extend");f.extendFlat=T.extendFlat,f.extendDeep=T.extendDeep,f.extendDeepAll=T.extendDeepAll,f.extendDeepNoArrays=T.extendDeepNoArrays;var k=t("./loggers");f.log=k.log,f.warn=k.warn,f.error=k.error;var 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T=!1!==(i.increasing||{}).showlegend,k=!1!==(i.decreasing||{}).showlegend,A=m(i.increasing),M=m(i.decreasing);if(!1!==A&&!1!==M){var S=g(A,M,T,k);S&&(i.name=S)}else!A&&!M||i.name||(i.name=A||M)}if(Array.isArray(i.transforms)){var E=i.transforms;for(n=0;n<E.length;n++){var L=E[n];if(o.isPlainObject(L))switch(L.type){case"filter":L.filtersrc&&(L.target=L.filtersrc,delete L.filtersrc),L.calendar&&(L.valuecalendar||(L.valuecalendar=L.calendar),delete L.calendar);break;case"groupby":if(L.styles=L.styles||L.style,L.styles&&!Array.isArray(L.styles)){var C=L.styles,P=Object.keys(C);L.styles=[];for(var I=0;I<P.length;I++)L.styles.push({target:P[I],value:C[P[I]]})}}}}y(i,"line")&&delete i.line,"marker"in i&&(y(i.marker,"line")&&delete i.marker.line,y(i,"marker")&&delete i.marker),c.clean(i),i.autobinx&&(delete i.autobinx,delete i.xbins),i.autobiny&&(delete i.autobiny,delete 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n=e[this.id];this.hasChoropleth=!1;for(var i=0;i<t.length;i++){var a=t[i],o=a[0].trace;"choropleth"===o.type&&(this.hasChoropleth=!0),!0===o.visible&&o._length>0&&o._module.calcGeoJSON(a,e)}if(!r){if(this.updateProjection(t,e))return;this.viewInitial&&this.scope===n.scope||this.saveViewInitial(n)}this.scope=n.scope,this.updateBaseLayers(e,n),this.updateDims(e,n),this.updateFx(e,n),d.generalUpdatePerTraceModule(this.graphDiv,this,t,n);var s=this.layers.frontplot.select(".scatterlayer");this.dataPoints.point=s.selectAll(".point"),this.dataPoints.text=s.selectAll("text"),this.dataPaths.line=s.selectAll(".js-line");var l=this.layers.backplot.select(".choroplethlayer");this.dataPaths.choropleth=l.selectAll("path"),this._render()},S.updateProjection=function(t,e){var r=this.graphDiv,n=e[this.id],l=e._size,u=n.domain,f=n.projection,h=n.lonaxis,p=n.lataxis,d=h._ax,m=p._ax,v=this.projection=function(t){var e=t.projection,r=e.type,n=w.projNames[r];n="geo"+c.titleCase(n);for(var l=(i[n]||s[n])(),u=t._isSatellite?180*Math.acos(1/e.distance)/Math.PI:t._isClipped?w.lonaxisSpan[r]/2:null,f=["center","rotate","parallels","clipExtent"],h=function(t){return t?l:[]},p=0;p<f.length;p++){var d=f[p];"function"!=typeof l[d]&&(l[d]=h)}l.isLonLatOverEdges=function(t){if(null===l(t))return!0;if(u){var e=l.rotate();return o(t,[-e[0],-e[1]])>u*Math.PI/180}return!1},l.getPath=function(){return a().projection(l)},l.getBounds=function(t){return l.getPath().bounds(t)},l.precision(w.precision),t._isSatellite&&l.tilt(e.tilt).distance(e.distance);u&&l.clipAngle(u-w.clipPad);return l}(n),y=[[l.l+l.w*u.x[0],l.t+l.h*(1-u.y[1])],[l.l+l.w*u.x[1],l.t+l.h*(1-u.y[0])]],x=n.center||{},b=f.rotation||{},_=h.range||[],T=p.range||[];if(n.fitbounds){d._length=y[1][0]-y[0][0],m._length=y[1][1]-y[0][1],d.range=g(r,d),m.range=g(r,m);var k=(d.range[0]+d.range[1])/2,A=(m.range[0]+m.range[1])/2;if(n._isScoped)x={lon:k,lat:A};else if(n._isClipped){x={lon:k,lat:A},b={lon:k,lat:A,roll:b.roll};var M=f.type,S=w.lonaxisSpan[M]/2||180,L=w.lataxisSpan[M]/2||90;_=[k-S,k+S],T=[A-L,A+L]}else x={lon:k,lat:A},b={lon:k,lat:b.lat,roll:b.roll}}v.center([x.lon-b.lon,x.lat-b.lat]).rotate([-b.lon,-b.lat,b.roll]).parallels(f.parallels);var C=E(_,T);v.fitExtent(y,C);var P=this.bounds=v.getBounds(C),I=this.fitScale=v.scale(),O=v.translate();if(n.fitbounds){var z=v.getBounds(E(d.range,m.range)),D=Math.min((P[1][0]-P[0][0])/(z[1][0]-z[0][0]),(P[1][1]-P[0][1])/(z[1][1]-z[0][1]));isFinite(D)?v.scale(D*I):c.warn("Something went wrong during"+this.id+"fitbounds computations.")}else v.scale(f.scale*I);var R=this.midPt=[(P[0][0]+P[1][0])/2,(P[0][1]+P[1][1])/2];if(v.translate([O[0]+(R[0]-O[0]),O[1]+(R[1]-O[1])]).clipExtent(P),n._isAlbersUsa){var F=v([x.lon,x.lat]),B=v.translate();v.translate([B[0]-(F[0]-B[0]),B[1]-(F[1]-B[1])])}},S.updateBaseLayers=function(t,e){var r=this,i=r.topojson,a=r.layers,o=r.basePaths;function s(t){return"lonaxis"===t||"lataxis"===t}function l(t){return Boolean(w.lineLayers[t])}function c(t){return Boolean(w.fillLayers[t])}var u=(this.hasChoropleth?w.layersForChoropleth:w.layers).filter((function(t){return l(t)||c(t)?e["show"+t]:!s(t)||e[t].showgrid})),p=r.framework.selectAll(".layer").data(u,String);p.exit().each((function(t){delete a[t],delete o[t],n.select(this).remove()})),p.enter().append("g").attr("class",(function(t){return"layer "+t})).each((function(t){var e=a[t]=n.select(this);"bg"===t?r.bgRect=e.append("rect").style("pointer-events","all"):s(t)?o[t]=e.append("path").style("fill","none"):"backplot"===t?e.append("g").classed("choroplethlayer",!0):"frontplot"===t?e.append("g").classed("scatterlayer",!0):l(t)?o[t]=e.append("path").style("fill","none").style("stroke-miterlimit",2):c(t)&&(o[t]=e.append("path").style("stroke","none"))})),p.order(),p.each((function(r){var n=o[r],a=w.layerNameToAdjective[r];"frame"===r?n.datum(w.sphereSVG):l(r)||c(r)?n.datum(A(i,i.objects[r])):s(r)&&n.datum(function(t,e,r){var n,i,a,o=e[t],s=w.scopeDefaults[e.scope];"lonaxis"===t?(n=s.lonaxisRange,i=s.lataxisRange,a=function(t,e){return[t,e]}):"lataxis"===t&&(n=s.lataxisRange,i=s.lonaxisRange,a=function(t,e){return[e,t]});var l={type:"linear",range:[n[0],n[1]-1e-6],tick0:o.tick0,dtick:o.dtick};m.setConvert(l,r);var c=m.calcTicks(l);e.isScoped||"lonaxis"!==t||c.pop();for(var u=c.length,f=new Array(u),h=0;h<u;h++)for(var p=c[h].x,d=f[h]=[],g=i[0];g<i[1]+2.5;g+=2.5)d.push(a(p,g));return{type:"MultiLineString",coordinates:f}}(r,e,t)).call(f.stroke,e[r].gridcolor).call(h.dashLine,e[r].griddash,e[r].gridwidth),l(r)?n.call(f.stroke,e[a+"color"]).call(h.dashLine,"",e[a+"width"]):c(r)&&n.call(f.fill,e[a+"color"])}))},S.updateDims=function(t,e){var r=this.bounds,n=(e.framewidth||0)/2,i=r[0][0]-n,a=r[0][1]-n,o=r[1][0]-i+n,s=r[1][1]-a+n;h.setRect(this.clipRect,i,a,o,s),this.bgRect.call(h.setRect,i,a,o,s).call(f.fill,e.bgcolor),this.xaxis._offset=i,this.xaxis._length=o,this.yaxis._offset=a,this.yaxis._length=s},S.updateFx=function(t,e){var r=this,i=r.graphDiv,a=r.bgRect,o=t.dragmode,s=t.clickmode;if(!r.isStatic){var u={element:r.bgRect.node(),gd:i,plotinfo:{id:r.id,xaxis:r.xaxis,yaxis:r.yaxis,fillRangeItems:function(t,e){e.isRect?(t.range={})[r.id]=[f([e.xmin,e.ymin]),f([e.xmax,e.ymax])]:(t.lassoPoints={})[r.id]=e.map(f)}},xaxes:[r.xaxis],yaxes:[r.yaxis],subplot:r.id,clickFn:function(t){2===t&&x(i)}};"pan"===o?(a.node().onmousedown=null,a.call(_(r,e)),a.on("dblclick.zoom",(function(){var t=r.viewInitial,e={};for(var n in t)e[r.id+"."+n]=t[n];l.call("_guiRelayout",i,e),i.emit("plotly_doubleclick",null)})),i._context._scrollZoom.geo||a.on("wheel.zoom",null)):"select"!==o&&"lasso"!==o||(a.on(".zoom",null),u.prepFn=function(t,e,r){y(t,e,r,u,o)},v.init(u)),a.on("mousemove",(function(){var t=r.projection.invert(c.getPositionFromD3Event());if(!t)return v.unhover(i,n.event);r.xaxis.p2c=function(){return t[0]},r.yaxis.p2c=function(){return t[1]},p.hover(i,n.event,r.id)})),a.on("mouseout",(function(){i._dragging||v.unhover(i,n.event)})),a.on("click",(function(){"select"!==o&&"lasso"!==o&&(s.indexOf("select")>-1&&b(n.event,i,[r.xaxis],[r.yaxis],r.id,u),s.indexOf("event")>-1&&p.click(i,n.event))}))}function f(t){return r.projection.invert([t[0]+r.xaxis._offset,t[1]+r.yaxis._offset])}},S.makeFramework=function(){var t=this,e=t.graphDiv,r=e._fullLayout,i="clip"+r._uid+t.id;t.clipDef=r._clips.append("clipPath").attr("id",i),t.clipRect=t.clipDef.append("rect"),t.framework=n.select(t.container).append("g").attr("class","geo "+t.id).call(h.setClipUrl,i,e),t.project=function(e){var r=t.projection(e);return r?[r[0]-t.xaxis._offset,r[1]-t.yaxis._offset]:[null,null]},t.xaxis={_id:"x",c2p:function(e){return t.project(e)[0]}},t.yaxis={_id:"y",c2p:function(e){return t.project(e)[1]}},t.mockAxis={type:"linear",showexponent:"all",exponentformat:"B"},m.setConvert(t.mockAxis,r)},S.saveViewInitial=function(t){var e,r=t.center||{},n=t.projection,i=n.rotation||{};this.viewInitial={fitbounds:t.fitbounds,"projection.scale":n.scale},e=t._isScoped?{"center.lon":r.lon,"center.lat":r.lat}:t._isClipped?{"projection.rotation.lon":i.lon,"projection.rotation.lat":i.lat}:{"center.lon":r.lon,"center.lat":r.lat,"projection.rotation.lon":i.lon},c.extendFlat(this.viewInitial,e)},S.render=function(t){this._hasMarkerAngles&&t?this.plot(this._geoCalcData,this._fullLayout,[],!0):this._render()},S._render=function(){var t,e=this.projection,r=e.getPath();function n(t){var r=e(t.lonlat);return r?u(r[0],r[1]):null}function i(t){return e.isLonLatOverEdges(t.lonlat)?"none":null}for(t in this.basePaths)this.basePaths[t].attr("d",r);for(t in this.dataPaths)this.dataPaths[t].attr("d",(function(t){return r(t.geojson)}));for(t in this.dataPoints)this.dataPoints[t].attr("display",i).attr("transform",n)}},{"../../components/color":367,"../../components/dragelement":386,"../../components/drawing":389,"../../components/fx":407,"../../components/selections":455,"../../lib":515,"../../lib/geo_location_utils":508,"../../lib/topojson_utils":544,"../../registry":647,"../cartesian/autorange":565,"../cartesian/axes":566,"../plots":628,"./constants":596,"./zoom":601,"@plotly/d3":58,"d3-geo":114,"d3-geo-projection":113,"topojson-client":316}],598:[function(t,e,r){"use strict";var n=t("../../plots/get_data").getSubplotCalcData,i=t("../../lib").counterRegex,a=t("./geo"),o="geo",s=i(o),l={};l.geo={valType:"subplotid",dflt:o,editType:"calc"},e.exports={attr:o,name:o,idRoot:o,idRegex:s,attrRegex:s,attributes:l,layoutAttributes:t("./layout_attributes"),supplyLayoutDefaults:t("./layout_defaults"),plot:function(t){for(var e=t._fullLayout,r=t.calcdata,i=e._subplots.geo,s=0;s<i.length;s++){var l=i[s],c=n(r,o,l),u=e[l]._subplot;u||(u=a({id:l,graphDiv:t,container:e._geolayer.node(),topojsonURL:t._context.topojsonURL,staticPlot:t._context.staticPlot}),e[l]._subplot=u),u.plot(c,e,t._promises)}},updateFx:function(t){for(var e=t._fullLayout,r=e._subplots.geo,n=0;n<r.length;n++){var i=e[r[n]];i._subplot.updateFx(e,i)}},clean:function(t,e,r,n){for(var i=n._subplots.geo||[],a=0;a<i.length;a++){var o=i[a],s=n[o]._subplot;!e[o]&&s&&(s.framework.remove(),s.clipDef.remove())}}}},{"../../lib":515,"../../plots/get_data":602,"./geo":597,"./layout_attributes":599,"./layout_defaults":600}],599:[function(t,e,r){"use strict";var n=t("../../components/color/attributes"),i=t("../domain").attributes,a=t("../../components/drawing/attributes").dash,o=t("./constants"),s=t("../../plot_api/edit_types").overrideAll,l=t("../../lib/sort_object_keys"),c={range:{valType:"info_array",items:[{valType:"number"},{valType:"number"}]},showgrid:{valType:"boolean",dflt:!1},tick0:{valType:"number",dflt:0},dtick:{valType:"number"},gridcolor:{valType:"color",dflt:n.lightLine},gridwidth:{valType:"number",min:0,dflt:1},griddash:a};(e.exports=s({domain:i({name:"geo"},{}),fitbounds:{valType:"enumerated",values:[!1,"locations","geojson"],dflt:!1,editType:"plot"},resolution:{valType:"enumerated",values:[110,50],dflt:110,coerceNumber:!0},scope:{valType:"enumerated",values:l(o.scopeDefaults),dflt:"world"},projection:{type:{valType:"enumerated",values:l(o.projNames)},rotation:{lon:{valType:"number"},lat:{valType:"number"},roll:{valType:"number"}},tilt:{valType:"number",dflt:0},distance:{valType:"number",min:1.001,dflt:2},parallels:{valType:"info_array",items:[{valType:"number"},{valType:"number"}]},scale:{valType:"number",min:0,dflt:1}},center:{lon:{valType:"number"},lat:{valType:"number"}},visible:{valType:"boolean",dflt:!0},showcoastlines:{valType:"boolean"},coastlinecolor:{valType:"color",dflt:n.defaultLine},coastlinewidth:{valType:"number",min:0,dflt:1},showland:{valType:"boolean",dflt:!1},landcolor:{valType:"color",dflt:o.landColor},showocean:{valType:"boolean",dflt:!1},oceancolor:{valType:"color",dflt:o.waterColor},showlakes:{valType:"boolean",dflt:!1},lakecolor:{valType:"color",dflt:o.waterColor},showrivers:{valType:"boolean",dflt:!1},rivercolor:{valType:"color",dflt:o.waterColor},riverwidth:{valType:"number",min:0,dflt:1},showcountries:{valType:"boolean"},countrycolor:{valType:"color",dflt:n.defaultLine},countrywidth:{valType:"number",min:0,dflt:1},showsubunits:{valType:"boolean"},subunitcolor:{valType:"color",dflt:n.defaultLine},subunitwidth:{valType:"number",min:0,dflt:1},showframe:{valType:"boolean"},framecolor:{valType:"color",dflt:n.defaultLine},framewidth:{valType:"number",min:0,dflt:1},bgcolor:{valType:"color",dflt:n.background},lonaxis:c,lataxis:c},"plot","from-root")).uirevision={valType:"any",editType:"none"}},{"../../components/color/attributes":366,"../../components/drawing/attributes":388,"../../lib/sort_object_keys":538,"../../plot_api/edit_types":548,"../domain":593,"./constants":596}],600:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../subplot_defaults"),a=t("../get_data").getSubplotData,o=t("./constants"),s=t("./layout_attributes"),l=o.axesNames;function c(t,e,r,i){var s=a(i.fullData,"geo",i.id).map((function(t){return t._expandedIndex})),c=r("resolution"),u=r("scope"),f=o.scopeDefaults[u],h=r("projection.type",f.projType),p=e._isAlbersUsa="albers usa"===h;p&&(u=e.scope="usa");var d=e._isScoped="world"!==u,m=e._isSatellite="satellite"===h,g=e._isConic=-1!==h.indexOf("conic")||"albers"===h,v=e._isClipped=!!o.lonaxisSpan[h];if(!1===t.visible){var y=n.extendDeep({},e._template);y.showcoastlines=!1,y.showcountries=!1,y.showframe=!1,y.showlakes=!1,y.showland=!1,y.showocean=!1,y.showrivers=!1,y.showsubunits=!1,y.lonaxis&&(y.lonaxis.showgrid=!1),y.lataxis&&(y.lataxis.showgrid=!1),e._template=y}for(var x=r("visible"),b=0;b<l.length;b++){var _,w=l[b],T=[30,10][b];if(d)_=f[w+"Range"];else{var k=o[w+"Span"],A=(k[h]||k["*"])/2,M=r("projection.rotation."+w.substr(0,3),f.projRotate[b]);_=[M-A,M+A]}var S=r(w+".range",_);r(w+".tick0"),r(w+".dtick",T),r(w+".showgrid",!!x&&void 0)&&(r(w+".gridcolor"),r(w+".gridwidth"),r(w+".griddash")),e[w]._ax={type:"linear",_id:w.slice(0,3),_traceIndices:s,setScale:n.identity,c2l:n.identity,r2l:n.identity,autorange:!0,range:S.slice(),_m:1,_input:{}}}var E=e.lonaxis.range,L=e.lataxis.range,C=E[0],P=E[1];C>0&&P<0&&(P+=360);var I,O,z,D=(C+P)/2;if(!p){var R=d?f.projRotate:[D,0,0];I=r("projection.rotation.lon",R[0]),r("projection.rotation.lat",R[1]),r("projection.rotation.roll",R[2]),r("showcoastlines",!d&&x)&&(r("coastlinecolor"),r("coastlinewidth")),r("showocean",!!x&&void 0)&&r("oceancolor")}(p?(O=-96.6,z=38.7):(O=d?D:I,z=(L[0]+L[1])/2),r("center.lon",O),r("center.lat",z),m&&(r("projection.tilt"),r("projection.distance")),g)&&r("projection.parallels",f.projParallels||[0,60]);r("projection.scale"),r("showland",!!x&&void 0)&&r("landcolor"),r("showlakes",!!x&&void 0)&&r("lakecolor"),r("showrivers",!!x&&void 0)&&(r("rivercolor"),r("riverwidth")),r("showcountries",d&&"usa"!==u&&x)&&(r("countrycolor"),r("countrywidth")),("usa"===u||"north america"===u&&50===c)&&(r("showsubunits",x),r("subunitcolor"),r("subunitwidth")),d||r("showframe",x)&&(r("framecolor"),r("framewidth")),r("bgcolor"),r("fitbounds")&&(delete e.projection.scale,d?(delete e.center.lon,delete e.center.lat):v?(delete e.center.lon,delete e.center.lat,delete e.projection.rotation.lon,delete e.projection.rotation.lat,delete e.lonaxis.range,delete e.lataxis.range):(delete e.center.lon,delete e.center.lat,delete e.projection.rotation.lon))}e.exports=function(t,e,r){i(t,e,r,{type:"geo",attributes:s,handleDefaults:c,fullData:r,partition:"y"})}},{"../../lib":515,"../get_data":602,"../subplot_defaults":641,"./constants":596,"./layout_attributes":599}],601:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../lib"),a=t("../../registry"),o=Math.PI/180,s=180/Math.PI,l={cursor:"pointer"},c={cursor:"auto"};function u(t,e){return n.behavior.zoom().translate(e.translate()).scale(e.scale())}function f(t,e,r){var n=t.id,o=t.graphDiv,s=o.layout,l=s[n],c=o._fullLayout,u=c[n],f={},h={};function p(t,e){f[n+"."+t]=i.nestedProperty(l,t).get(),a.call("_storeDirectGUIEdit",s,c._preGUI,f);var r=i.nestedProperty(u,t);r.get()!==e&&(r.set(e),i.nestedProperty(l,t).set(e),h[n+"."+t]=e)}r(p),p("projection.scale",e.scale()/t.fitScale),p("fitbounds",!1),o.emit("plotly_relayout",h)}function h(t,e){var r=u(0,e);function i(r){var n=e.invert(t.midPt);r("center.lon",n[0]),r("center.lat",n[1])}return r.on("zoomstart",(function(){n.select(this).style(l)})).on("zoom",(function(){e.scale(n.event.scale).translate(n.event.translate),t.render(!0);var r=e.invert(t.midPt);t.graphDiv.emit("plotly_relayouting",{"geo.projection.scale":e.scale()/t.fitScale,"geo.center.lon":r[0],"geo.center.lat":r[1]})})).on("zoomend",(function(){n.select(this).style(c),f(t,e,i)})),r}function p(t,e){var r,i,a,o,s,h,p,d,m,g=u(0,e);function v(t){return e.invert(t)}function y(r){var n=e.rotate(),i=e.invert(t.midPt);r("projection.rotation.lon",-n[0]),r("center.lon",i[0]),r("center.lat",i[1])}return g.on("zoomstart",(function(){n.select(this).style(l),r=n.mouse(this),i=e.rotate(),a=e.translate(),o=i,s=v(r)})).on("zoom",(function(){if(h=n.mouse(this),function(t){var r=v(t);if(!r)return!0;var n=e(r);return Math.abs(n[0]-t[0])>2||Math.abs(n[1]-t[1])>2}(r))return g.scale(e.scale()),void g.translate(e.translate());e.scale(n.event.scale),e.translate([a[0],n.event.translate[1]]),s?v(h)&&(d=v(h),p=[o[0]+(d[0]-s[0]),i[1],i[2]],e.rotate(p),o=p):s=v(r=h),m=!0,t.render(!0);var l=e.rotate(),c=e.invert(t.midPt);t.graphDiv.emit("plotly_relayouting",{"geo.projection.scale":e.scale()/t.fitScale,"geo.center.lon":c[0],"geo.center.lat":c[1],"geo.projection.rotation.lon":-l[0]})})).on("zoomend",(function(){n.select(this).style(c),m&&f(t,e,y)})),g}function d(t,e){var r,i={r:e.rotate(),k:e.scale()},a=u(0,e),o=function(t){var e=0,r=arguments.length,i=[];for(;++e<r;)i.push(arguments[e]);var a=n.dispatch.apply(null,i);return a.of=function(e,r){return function(i){var o;try{o=i.sourceEvent=n.event,i.target=t,n.event=i,a[i.type].apply(e,r)}finally{n.event=o}}},a}(a,"zoomstart","zoom","zoomend"),s=0,h=a.on;function p(t){s++||t({type:"zoomstart"})}function d(t){t({type:"zoom"})}function b(t){--s||t({type:"zoomend"})}function _(t){var r=e.rotate();t("projection.rotation.lon",-r[0]),t("projection.rotation.lat",-r[1])}return a.on("zoomstart",(function(){n.select(this).style(l);var t=n.mouse(this),s=e.rotate(),c=s,u=e.translate(),f=g(s);r=m(e,t),h.call(a,"zoom",(function(){var 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v(t,e){var r=t[0],n=t[1],i=t[2],a=t[3],o=e[0],s=e[1],l=e[2],c=e[3];return[r*o-n*s-i*l-a*c,r*s+n*o+i*c-a*l,r*l-n*c+i*o+a*s,r*c+n*l-i*s+a*o]}function y(t,e){if(t&&e){var r=function(t,e){return[t[1]*e[2]-t[2]*e[1],t[2]*e[0]-t[0]*e[2],t[0]*e[1]-t[1]*e[0]]}(t,e),n=Math.sqrt(k(r,r)),i=.5*Math.acos(Math.max(-1,Math.min(1,k(t,e)))),a=Math.sin(i)/n;return n&&[Math.cos(i),r[2]*a,-r[1]*a,r[0]*a]}}function x(t,e,r){var n=w(e,2,t[0]);n=w(n,1,t[1]),n=w(n,0,t[2]-r[2]);var i,a,o=e[0],l=e[1],c=e[2],u=n[0],f=n[1],h=n[2],p=Math.atan2(l,o)*s,d=Math.sqrt(o*o+l*l);Math.abs(f)>d?(a=(f>0?90:-90)-p,i=0):(a=Math.asin(f/d)*s-p,i=Math.sqrt(d*d-f*f));var m=180-a-2*p,g=(Math.atan2(h,u)-Math.atan2(c,i))*s,v=(Math.atan2(h,u)-Math.atan2(c,-i))*s;return b(r[0],r[1],a,g)<=b(r[0],r[1],m,v)?[a,g,r[2]]:[m,v,r[2]]}function b(t,e,r,n){var i=_(r-t),a=_(n-e);return Math.sqrt(i*i+a*a)}function _(t){return(t%360+540)%360-180}function w(t,e,r){var n=r*o,i=t.slice(),a=0===e?1:0,s=2===e?1:2,l=Math.cos(n),c=Math.sin(n);return 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s=t[o],l=s[0].trace;!0===l.visible&&0!==l._length&&(l._module.plot===r?i.push(s):a.push(s))}return[i,a]},r.getSubplotData=function(t,e,r){if(!n.subplotsRegistry[e])return[];var a,o,s,l=n.subplotsRegistry[e].attr,c=[];if("gl2d"===e){var u=r.match(i);o="x"+u[1],s="y"+u[2]}for(var f=0;f<t.length;f++)a=t[f],"gl2d"===e&&n.traceIs(a,"gl2d")?a[l[0]]===o&&a[l[1]]===s&&c.push(a):a[l]===r&&c.push(a);return c}},{"../registry":647,"./cartesian/constants":573}],603:[function(t,e,r){"use strict";var n=t("mouse-change"),i=t("mouse-wheel"),a=t("mouse-event-offset"),o=t("../cartesian/constants"),s=t("has-passive-events");function l(t,e){this.element=t,this.plot=e,this.mouseListener=null,this.wheelListener=null,this.lastInputTime=Date.now(),this.lastPos=[0,0],this.boxEnabled=!1,this.boxInited=!1,this.boxStart=[0,0],this.boxEnd=[0,0],this.dragStart=[0,0]}e.exports=function(t){var e=t.mouseContainer,r=t.glplot,c=new l(e,r);function u(){t.xaxis.autorange=!1,t.yaxis.autorange=!1}function f(e,n,i){var a,s,l=t.calcDataBox(),f=r.viewBox,h=c.lastPos[0],p=c.lastPos[1],d=o.MINDRAG*r.pixelRatio,m=o.MINZOOM*r.pixelRatio;function g(e,r,n){var i=Math.min(r,n),a=Math.max(r,n);i!==a?(l[e]=i,l[e+2]=a,c.dataBox=l,t.setRanges(l)):(t.selectBox.selectBox=[0,0,1,1],t.glplot.setDirty())}switch(n*=r.pixelRatio,i*=r.pixelRatio,i=f[3]-f[1]-i,t.fullLayout.dragmode){case"zoom":if(e){var v=n/(f[2]-f[0])*(l[2]-l[0])+l[0],y=i/(f[3]-f[1])*(l[3]-l[1])+l[1];c.boxInited||(c.boxStart[0]=v,c.boxStart[1]=y,c.dragStart[0]=n,c.dragStart[1]=i),c.boxEnd[0]=v,c.boxEnd[1]=y,c.boxInited=!0,c.boxEnabled||c.boxStart[0]===c.boxEnd[0]&&c.boxStart[1]===c.boxEnd[1]||(c.boxEnabled=!0);var x=Math.abs(c.dragStart[0]-n)<m,b=Math.abs(c.dragStart[1]-i)<m;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,i=0;i<e.length;i++)if(-1!==e[i][r]){if(-1!==e[i][n])return!0;break}return!1}()||x&&b)x&&(c.boxEnd[0]=c.boxStart[0]),b&&(c.boxEnd[1]=c.boxStart[1]);else{a=c.boxEnd[0]-c.boxStart[0],s=c.boxEnd[1]-c.boxStart[1];var _=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*_)>Math.abs(s)?(c.boxEnd[1]=c.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),c.boxEnd[1]<l[1]?(c.boxEnd[1]=l[1],c.boxEnd[0]=c.boxStart[0]+(l[1]-c.boxStart[1])/Math.abs(_)):c.boxEnd[1]>l[3]&&(c.boxEnd[1]=l[3],c.boxEnd[0]=c.boxStart[0]+(l[3]-c.boxStart[1])/Math.abs(_))):(c.boxEnd[0]=c.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),c.boxEnd[0]<l[0]?(c.boxEnd[0]=l[0],c.boxEnd[1]=c.boxStart[1]+(l[0]-c.boxStart[0])*Math.abs(_)):c.boxEnd[0]>l[2]&&(c.boxEnd[0]=l[2],c.boxEnd[1]=c.boxStart[1]+(l[2]-c.boxStart[0])*Math.abs(_)))}}else c.boxEnabled?(a=c.boxStart[0]!==c.boxEnd[0],s=c.boxStart[1]!==c.boxEnd[1],a||s?(a&&(g(0,c.boxStart[0],c.boxEnd[0]),t.xaxis.autorange=!1),s&&(g(1,c.boxStart[1],c.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),c.boxEnabled=!1,c.boxInited=!1):c.boxInited&&(c.boxInited=!1);break;case"pan":c.boxEnabled=!1,c.boxInited=!1,e?(c.panning||(c.dragStart[0]=n,c.dragStart[1]=i),Math.abs(c.dragStart[0]-n)<d&&(n=c.dragStart[0]),Math.abs(c.dragStart[1]-i)<d&&(i=c.dragStart[1]),a=(h-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-i)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=a,l[2]+=a,l[1]+=s,l[3]+=s,t.setRanges(l),c.panning=!0,c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations()):c.panning&&(c.panning=!1,t.relayoutCallback())}c.lastPos[0]=n,c.lastPos[1]=i}return c.mouseListener=n(e,f),e.addEventListener("touchstart",(function(t){var r=a(t.changedTouches[0],e);f(0,r[0],r[1]),f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener("touchmove",(function(t){t.preventDefault();var r=a(t.changedTouches[0],e);f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener("touchend",(function(t){f(0,c.lastPos[0],c.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),c.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=c.lastPos[0],s=c.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),f=o/(a[2]-a[0])*(i[2]-i[0])+i[0],h=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-f)*l+f,i[2]=(i[2]-f)*l+f,i[1]=(i[1]-h)*l+h,i[3]=(i[3]-h)*l+h,t.setRanges(i),c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),c}},{"../cartesian/constants":573,"has-passive-events":229,"mouse-change":241,"mouse-event-offset":242,"mouse-wheel":244}],604:[function(t,e,r){"use strict";var n=t("../cartesian/axes"),i=t("../../lib/str2rgbarray");function a(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=["x","y"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=["sans-serif","sans-serif"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title="",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont="sans-serif",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=a.prototype,s=["xaxis","yaxis"];o.merge=function(t){var e,r,n,a,o,l,c,u,f,h,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),h=0;h<2;++h){var d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?"":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]="auto"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;c=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!c,l=this.hasAxisInAltrPos(e,r)&&!c,a=r.mirror||!1,u=c?-1!==String(a).indexOf("all"):!!a,f=c?"allticks"===a:-1!==String(a).indexOf("ticks"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||u)&&(this.borderLineEnable[h]=r.showline),(l||u)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return"xaxis"===t?"bottom"===r:"yaxis"===t?"left"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return"xaxis"===t?"top"===r:"yaxis"===t?"right"===r:void 0},o.getLabelPad=function(t,e){var r=e.title.font.size,n=e.showticklabels;return"xaxis"===t?"top"===e.side?r*(1.5+(n?1:0))-10:r*(1.5+(n?.5:0))-10:"yaxis"===t?"right"===e.side?10+r*(1.5+(n?1:.5)):10+r*(1.5+(n?.5:0)):void 0},o.getTickPad=function(t){return"outside"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return"inside"===t.ticks?-e:e},e.exports=function(t){return new a(t)}},{"../../lib/str2rgbarray":540,"../cartesian/axes":566}],605:[function(t,e,r){"use strict";var n=t("../../plot_api/edit_types").overrideAll,i=t("./scene2d"),a=t("../layout_attributes"),o=t("../../constants/xmlns_namespaces"),s=t("../cartesian/constants"),l=t("../cartesian"),c=t("../../components/fx/layout_attributes"),u=t("../get_data").getSubplotData;r.name="gl2d",r.attr=["xaxis","yaxis"],r.idRoot=["x","y"],r.idRegex=s.idRegex,r.attrRegex=s.attrRegex,r.attributes=t("../cartesian/attributes"),r.supplyLayoutDefaults=function(t,e,r){e._has("cartesian")||l.supplyLayoutDefaults(t,e,r)},r.layoutAttrOverrides=n(l.layoutAttributes,"plot","from-root"),r.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:c.hoverlabel},"plot","nested"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=u(r,"gl2d",o),c=s._scene2d;void 0===c&&(c=new i({id:o,graphDiv:t,container:t.querySelector(".gl-container"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];if(s._scene2d){var c=u(t,"gl2d",o);0===c.length&&(s._scene2d.destroy(),delete n._plots[o])}}l.clean.apply(this,arguments)},r.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage("png");e._glimages.append("svg:image").attr({xmlns:o.svg,"xlink:href":a,x:0,y:0,width:"100%",height:"100%",preserveAspectRatio:"none"}),i.destroy()}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){e._plots[r[n]]._scene2d.updateFx(e.dragmode)}}},{"../../components/fx/layout_attributes":408,"../../constants/xmlns_namespaces":492,"../../plot_api/edit_types":548,"../cartesian":578,"../cartesian/attributes":564,"../cartesian/constants":573,"../get_data":602,"../layout_attributes":619,"./scene2d":606}],606:[function(t,e,r){"use strict";var n,i,a=t("../../registry"),o=t("../../plots/cartesian/axes"),s=t("../../components/fx"),l=t("../../../stackgl_modules").gl_plot2d,c=t("../../../stackgl_modules").gl_spikes2d,u=t("../../../stackgl_modules").gl_select_box,f=t("webgl-context"),h=t("./convert"),p=t("./camera"),d=t("../../lib/show_no_webgl_msg"),m=t("../cartesian/constraints"),g=m.enforce,v=m.clean,y=t("../cartesian/autorange").doAutoRange,x=t("../../components/dragelement/helpers"),b=x.drawMode,_=x.selectMode,w=["xaxis","yaxis"],T=t("../cartesian/constants").SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=c(this.glplot),this.selectBox=u(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}e.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement("canvas"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error("Error creating static canvas/context for image server");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(".gl-canvas-focus"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width="100%",r.style.height="100%",r.style.position="absolute",r.style.top="0px",r.style.left="0px",r.style["pointer-events"]="none",this.updateSize(r);var a=this.svgContainer=document.createElementNS("http://www.w3.org/2000/svg","svg");a.style.position="absolute",a.style.top=a.style.left="0px",a.style.width=a.style.height="100%",a.style["z-index"]=20,a.style["pointer-events"]="none";var o=this.mouseContainer=document.createElement("div");o.style.position="absolute",o.style["pointer-events"]="auto",this.pickCanvas=this.container.querySelector(".gl-canvas-pick");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener("mouseout",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener("mouseover",(function(){l.isMouseOver=!0}))},A.toImage=function(t){t||(t="png"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=a[4*(r*o+l)+c];a[4*(r*o+l)+c]=a[4*(r*s+l)+c],a[4*(r*s+l)+c]=u}var f=document.createElement("canvas");f.width=r,f.height=i;var h,p=f.getContext("2d",{willReadFrequently:!0}),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case"jpeg":h=f.toDataURL("image/jpeg");break;case"webp":h=f.toDataURL("image/webp");break;default:h=f.toDataURL("image/png")}return this.staticPlot&&this.container.removeChild(n),h},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+"";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r="xaxis"+e[1],n="yaxis"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+".range"]=e.range.slice(),s=i[r._name+".range"]=r.range.slice();i[e._name+".autorange"]=e.autorange,i[r._name+".autorange"]=r.autorange,a.call("_storeDirectGUIEdit",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var c=n[r._name];c.range=s,c.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit("plotly_relayout",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod("annotations","drawOne")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener("wheel",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};v(s,this.xaxis),v(s,this.yaxis);var l,c,u=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[u.l+f[0]*u.w,u.b+h[0]*u.h,i-u.r-(1-f[1])*u.w,a-u.t-(1-h[1])*u.h],this.mouseContainer.style.width=u.w*(f[1]-f[0])+"px",this.mouseContainer.style.height=u.h*(h[1]-h[0])+"px",this.mouseContainer.height=u.h*(h[1]-h[0]),this.mouseContainer.style.left=u.l+f[0]*u.w+"px",this.mouseContainer.style.top=u.t+(1-h[1])*u.h+"px",c=0;c<2;++c)(l=this[w[c]])._length=o.viewBox[c+2]-o.viewBox[c],y(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],c=this.traces[i.uid];c?c.update(i,l):(c=i._module.plot(this,i,l),this.traces[i.uid]=c)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style["pointer-events"]="none",this.mouseContainer.style["pointer-events"]="none"):(this.pickCanvas.style["pointer-events"]="auto",this.mouseContainer.style["pointer-events"]="auto"),this.mouseContainer.style.cursor="pan"===t?"move":"zoom"===t?"crosshair":null},A.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},A.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&"zoom"===i.dragmode){this.selectBox.enabled=!0;for(var c=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,"plotly_click"),a&&"skip"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var m=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),m.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,"plotly_hover");var g=this.fullData[m.trace.index]||{},v=m.pointIndex,y=s.castHoverinfo(g,i,v);if(y&&"all"!==y){var x=y.split("+");-1===x.indexOf("x")&&(m.traceCoord[0]=void 0),-1===x.indexOf("y")&&(m.traceCoord[1]=void 0),-1===x.indexOf("z")&&(m.traceCoord[2]=void 0),-1===x.indexOf("text")&&(m.textLabel=void 0),-1===x.indexOf("name")&&(m.name=void 0)}s.loneHover({x:m.screenCoord[0],y:m.screenCoord[1],xLabel:this.hoverFormatter("xaxis",m.traceCoord[0]),yLabel:this.hoverFormatter("yaxis",m.traceCoord[1]),zLabel:m.traceCoord[2],text:m.textLabel,name:m.name,color:s.castHoverOption(g,v,"bgcolor")||m.color,borderColor:s.castHoverOption(g,v,"bordercolor"),fontFamily:s.castHoverOption(g,v,"font.family"),fontSize:s.castHoverOption(g,v,"font.size"),fontColor:s.castHoverOption(g,v,"font.color"),nameLength:s.castHoverOption(g,v,"namelength"),textAlign:s.castHoverOption(g,v,"align")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit("plotly_unhover"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),"hover").text}}},{"../../../stackgl_modules":1133,"../../components/dragelement/helpers":385,"../../components/fx":407,"../../lib/show_no_webgl_msg":537,"../../plots/cartesian/axes":566,"../../registry":647,"../cartesian/autorange":565,"../cartesian/constants":573,"../cartesian/constraints":574,"./camera":603,"./convert":604,"webgl-context":332}],607:[function(t,e,r){"use strict";var n=t("../../plot_api/edit_types").overrideAll,i=t("../../components/fx/layout_attributes"),a=t("./scene"),o=t("../get_data").getSubplotData,s=t("../../lib"),l=t("../../constants/xmlns_namespaces");r.name="gl3d",r.attr="scene",r.idRoot="scene",r.idRegex=r.attrRegex=s.counterRegex("scene"),r.attributes=t("./layout/attributes"),r.layoutAttributes=t("./layout/layout_attributes"),r.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},"plot","nested"),r.supplyLayoutDefaults=t("./layout/defaults"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,i=0;i<n.length;i++){var s=n[i],l=o(r,"gl3d",s),c=e[s],u=c.camera,f=c._scene;f||(f=new a({id:s,graphDiv:t,container:t.querySelector(".gl-container"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},e),c._scene=f),f.viewInitial||(f.viewInitial={up:{x:u.up.x,y:u.up.y,z:u.up.z},eye:{x:u.eye.x,y:u.eye.y,z:u.eye.z},center:{x:u.center.x,y:u.center.y,z:u.center.z}}),f.plot(l,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl3d||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(".annotation-"+o).remove())}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,c=s.toImage("png");e._glimages.append("svg:image").attr({xmlns:l.svg,"xlink:href":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:"none"}),s.destroy()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return"1"===e&&(e=""),"scene"+e}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++){e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}}},{"../../components/fx/layout_attributes":408,"../../constants/xmlns_namespaces":492,"../../lib":515,"../../plot_api/edit_types":548,"../get_data":602,"./layout/attributes":608,"./layout/defaults":612,"./layout/layout_attributes":613,"./scene":617}],608:[function(t,e,r){"use strict";e.exports={scene:{valType:"subplotid",dflt:"scene",editType:"calc+clearAxisTypes"}}},{}],609:[function(t,e,r){"use strict";var n=t("../../../components/color"),i=t("../../cartesian/layout_attributes"),a=t("../../../lib/extend").extendFlat,o=t("../../../plot_api/edit_types").overrideAll;e.exports=o({visible:i.visible,showspikes:{valType:"boolean",dflt:!0},spikesides:{valType:"boolean",dflt:!0},spikethickness:{valType:"number",min:0,dflt:2},spikecolor:{valType:"color",dflt:n.defaultLine},showbackground:{valType:"boolean",dflt:!1},backgroundcolor:{valType:"color",dflt:"rgba(204, 204, 204, 0.5)"},showaxeslabels:{valType:"boolean",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:["-","linear","log","date","category"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,rangemode:i.rangemode,range:a({},i.range,{items:[{valType:"any",editType:"plot",impliedEdits:{"^autorange":!1}},{valType:"any",editType:"plot",impliedEdits:{"^autorange":!1}}],anim:!1}),tickmode:i.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:"rgb(204, 204, 204)"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},"plot","from-root")},{"../../../components/color":367,"../../../lib/extend":505,"../../../plot_api/edit_types":548,"../../cartesian/layout_attributes":579}],610:[function(t,e,r){"use strict";var n=t("tinycolor2").mix,i=t("../../../lib"),a=t("../../../plot_api/plot_template"),o=t("./axis_attributes"),s=t("../../cartesian/type_defaults"),l=t("../../cartesian/axis_defaults"),c=["xaxis","yaxis","zaxis"];e.exports=function(t,e,r){var u,f;function h(t,e){return i.coerce(u,f,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(u,f,h,r),l(u,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h("gridcolor",n(f.color,r.bgColor,13600/187).toRgbString()),h("title.text",d[0]),f.setScale=i.noop,h("showspikes")&&(h("spikesides"),h("spikethickness"),h("spikecolor",f.color)),h("showaxeslabels"),h("showbackground")&&h("backgroundcolor")}}},{"../../../lib":515,"../../../plot_api/plot_template":555,"../../cartesian/axis_defaults":568,"../../cartesian/type_defaults":591,"./axis_attributes":609,tinycolor2:313}],611:[function(t,e,r){"use strict";var n=t("../../../lib/str2rgbarray"),i=t("../../../lib"),a=["xaxis","yaxis","zaxis"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=["sans-serif","sans-serif","sans-serif"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=["x","y","z"],this.labelEnable=[!0,!0,!0],this.labelFont=["Open Sans","Open Sans","Open Sans"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=0;r<3;++r){var o=e[a[r]];o.visible?(this.labels[r]=t._meta?i.templateString(o.title.text,t._meta):o.title.text,"font"in o.title&&(o.title.font.color&&(this.labelColor[r]=n(o.title.font.color)),o.title.font.family&&(this.labelFont[r]=o.title.font.family),o.title.font.size&&(this.labelSize[r]=o.title.font.size)),"showline"in o&&(this.lineEnable[r]=o.showline),"linecolor"in o&&(this.lineColor[r]=n(o.linecolor)),"linewidth"in o&&(this.lineWidth[r]=o.linewidth),"showgrid"in o&&(this.gridEnable[r]=o.showgrid),"gridcolor"in o&&(this.gridColor[r]=n(o.gridcolor)),"gridwidth"in o&&(this.gridWidth[r]=o.gridwidth),"log"===o.type?this.zeroEnable[r]=!1:"zeroline"in o&&(this.zeroEnable[r]=o.zeroline),"zerolinecolor"in o&&(this.zeroLineColor[r]=n(o.zerolinecolor)),"zerolinewidth"in o&&(this.zeroLineWidth[r]=o.zerolinewidth),"ticks"in o&&o.ticks?this.lineTickEnable[r]=!0:this.lineTickEnable[r]=!1,"ticklen"in o&&(this.lineTickLength[r]=this._defaultLineTickLength[r]=o.ticklen),"tickcolor"in o&&(this.lineTickColor[r]=n(o.tickcolor)),"tickwidth"in o&&(this.lineTickWidth[r]=o.tickwidth),"tickangle"in o&&(this.tickAngle[r]="auto"===o.tickangle?-3600:Math.PI*-o.tickangle/180),"showticklabels"in o&&(this.tickEnable[r]=o.showticklabels),"tickfont"in o&&(o.tickfont.color&&(this.tickColor[r]=n(o.tickfont.color)),o.tickfont.family&&(this.tickFont[r]=o.tickfont.family),o.tickfont.size&&(this.tickSize[r]=o.tickfont.size)),"mirror"in o?-1!==["ticks","all","allticks"].indexOf(o.mirror)?(this.lineTickMirror[r]=!0,this.lineMirror[r]=!0):!0===o.mirror?(this.lineTickMirror[r]=!1,this.lineMirror[r]=!0):(this.lineTickMirror[r]=!1,this.lineMirror[r]=!1):this.lineMirror[r]=!1,"showbackground"in o&&!1!==o.showbackground?(this.backgroundEnable[r]=!0,this.backgroundColor[r]=n(o.backgroundcolor)):this.backgroundEnable[r]=!1):(this.tickEnable[r]=!1,this.labelEnable[r]=!1,this.lineEnable[r]=!1,this.lineTickEnable[r]=!1,this.gridEnable[r]=!1,this.zeroEnable[r]=!1,this.backgroundEnable[r]=!1)}},e.exports=function(t,e){var r=new o;return r.merge(t,e),r}},{"../../../lib":515,"../../../lib/str2rgbarray":540}],612:[function(t,e,r){"use strict";var n=t("../../../lib"),i=t("../../../components/color"),a=t("../../../registry"),o=t("../../subplot_defaults"),s=t("./axis_defaults"),l=t("./layout_attributes"),c=t("../../get_data").getSubplotData;function u(t,e,r,n){for(var o=r("bgcolor"),l=i.combine(o,n.paper_bgcolor),u=["up","center","eye"],f=0;f<u.length;f++)r("camera."+u[f]+".x"),r("camera."+u[f]+".y"),r("camera."+u[f]+".z");r("camera.projection.type");var h=!!r("aspectratio.x")&&!!r("aspectratio.y")&&!!r("aspectratio.z"),p=r("aspectmode",h?"manual":"auto");h||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},"manual"===p&&(e.aspectmode="auto"),t.aspectmode=e.aspectmode);var d=c(n.fullData,"gl3d",n.id);s(t,e,{font:n.font,scene:n.id,data:d,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod("annotations3d","handleDefaults")(t,e,n);var m=n.getDfltFromLayout("dragmode");if(!1!==m&&!m)if(m="orbit",t.camera&&t.camera.up){var g=t.camera.up.x,v=t.camera.up.y,y=t.camera.up.z;0!==y&&(g&&v&&y?y/Math.sqrt(g*g+v*v+y*y)>.999&&(m="turntable"):m="turntable")}else m="turntable";r("dragmode",m),r("hovermode",n.getDfltFromLayout("hovermode"))}e.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:"gl3d",attributes:l,handleDefaults:u,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{"../../../components/color":367,"../../../lib":515,"../../../registry":647,"../../get_data":602,"../../subplot_defaults":641,"./axis_defaults":610,"./layout_attributes":613}],613:[function(t,e,r){"use strict";var n=t("./axis_attributes"),i=t("../../domain").attributes,a=t("../../../lib/extend").extendFlat,o=t("../../../lib").counterRegex;function s(t,e,r){return{x:{valType:"number",dflt:t,editType:"camera"},y:{valType:"number",dflt:e,editType:"camera"},z:{valType:"number",dflt:r,editType:"camera"},editType:"camera"}}e.exports={_arrayAttrRegexps:[o("scene",".annotations",!0)],bgcolor:{valType:"color",dflt:"rgba(0,0,0,0)",editType:"plot"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:"enumerated",values:["perspective","orthographic"],dflt:"perspective",editType:"calc"},editType:"calc"},editType:"camera"},domain:i({name:"scene",editType:"plot"}),aspectmode:{valType:"enumerated",values:["auto","cube","data","manual"],dflt:"auto",editType:"plot",impliedEdits:{"aspectratio.x":void 0,"aspectratio.y":void 0,"aspectratio.z":void 0}},aspectratio:{x:{valType:"number",min:0,editType:"plot",impliedEdits:{"^aspectmode":"manual"}},y:{valType:"number",min:0,editType:"plot",impliedEdits:{"^aspectmode":"manual"}},z:{valType:"number",min:0,editType:"plot",impliedEdits:{"^aspectmode":"manual"}},editType:"plot",impliedEdits:{aspectmode:"manual"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:"enumerated",values:["orbit","turntable","zoom","pan",!1],editType:"plot"},hovermode:{valType:"enumerated",values:["closest",!1],dflt:"closest",editType:"modebar"},uirevision:{valType:"any",editType:"none"},editType:"plot",_deprecated:{cameraposition:{valType:"info_array",editType:"camera"}}}},{"../../../lib":515,"../../../lib/extend":505,"../../domain":593,"./axis_attributes":609}],614:[function(t,e,r){"use strict";var n=t("../../../lib/str2rgbarray"),i=["xaxis","yaxis","zaxis"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=function(t){var e=new a;return e.merge(t),e}},{"../../../lib/str2rgbarray":540}],615:[function(t,e,r){"use strict";e.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[a[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var f=u.tickmode;if("auto"===u.tickmode){u.tickmode="linear";var h=u.nticks||i.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/h)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[c],"date"===u.type&&(p[d].text=p[d].text.replace(/\<br\>/g," "));l[c]=p,u.tickmode=f}}e.ticks=l;for(c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=t("../../cartesian/axes"),i=t("../../../lib"),a=["xaxis","yaxis","zaxis"],o=[0,0,0]},{"../../../lib":515,"../../cartesian/axes":566}],616:[function(t,e,r){"use strict";function n(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}e.exports=function(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}},{}],617:[function(t,e,r){"use strict";var n,i,a=t("../../../stackgl_modules").gl_plot3d,o=a.createCamera,s=a.createScene,l=t("webgl-context"),c=t("has-passive-events"),u=t("../../registry"),f=t("../../lib"),h=f.preserveDrawingBuffer(),p=t("../../plots/cartesian/axes"),d=t("../../components/fx"),m=t("../../lib/str2rgbarray"),g=t("../../lib/show_no_webgl_msg"),v=t("./project"),y=t("./layout/convert"),x=t("./layout/spikes"),b=t("./layout/tick_marks");function _(t,e){var r=document.createElement("div"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS("http://www.w3.org/2000/svg","svg");i.style.position="absolute",i.style.top=i.style.left="0px",i.style.width=i.style.height="100%",i.style["z-index"]=20,i.style["pointer-events"]="none",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position="absolute",r.style.top=r.style.left="0px",r.style.width=r.style.height="100%",n.appendChild(r),this.fullLayout=e,this.id=t.id||"scene",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=y(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod("annotations3d","convert"),this.drawAnnotations=u.getComponentMethod("annotations3d","draw"),this.initializeGLPlot()}var w=_.prototype;w.prepareOptions=function(){var t={canvas:this.canvas,gl:this.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:this.container,axes:this.axesOptions,spikes:this.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:this.camera,pixelRatio:this.pixelRatio};if(this.staticMode){if(!(i||(n=document.createElement("canvas"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error("error creating static canvas/context for image server");t.gl=i,t.canvas=n}return t};var T=!0;w.tryCreatePlot=function(){var t=this.prepareOptions(),e=!0;try{this.glplot=s(t)}catch(r){if(this.staticMode||!T||h)e=!1;else{f.warn(["webgl setup failed possibly due to","false preserveDrawingBuffer config.","The mobile/tablet device may not be detected by is-mobile module.","Enabling preserveDrawingBuffer in second attempt to create webgl scene..."].join(" "));try{h=t.glOptions.preserveDrawingBuffer=!0,this.glplot=s(t)}catch(r){h=t.glOptions.preserveDrawingBuffer=!1,e=!1}}}return T=!1,e},w.initializeGLCamera=function(){var t=this.fullSceneLayout.camera,e="orthographic"===t.projection.type;this.camera=o(this.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:e,zoomMin:.01,zoomMax:100,mode:"orbit"})},w.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+".camera"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+".aspectratio"]=t.glplot.getAspectratio(),"manual"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+".aspectmode"]="manual")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit("plotly_relayout",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener("mouseup",(function(){i(t)})),t.glplot.canvas.addEventListener("wheel",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!c&&{passive:!1}),t.glplot.canvas.addEventListener("mousemove",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit("plotly_relayouting",e)}})),t.staticMode||t.glplot.canvas.addEventListener("webglcontextlost",(function(r){e&&e.emit&&e.emit("plotly_webglcontextlost",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},w.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,"viewBox","0 0 "+s+" "+l),n.setAttributeNS(null,"width",s),n.setAttributeNS(null,"height",l),b(e),e.glplot.axes.update(e.axesOptions);for(var c=Object.keys(e.traces),u=null,h=e.glplot.selection,m=0;m<c.length;++m)"skip"!==(t=e.traces[c[m]]).data.hoverinfo&&t.handlePick(h)&&(u=t),t.setContourLevels&&t.setContourLevels();function g(t,r,n){var i=e.fullSceneLayout[t+"axis"];return"log"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==u){var y=v(e.glplot.cameraParams,h.dataCoordinate);t=u.data;var x,_=r._fullData[t.index],w=h.index,T={xLabel:g("x",h.traceCoordinate[0],t.xhoverformat),yLabel:g("y",h.traceCoordinate[1],t.yhoverformat),zLabel:g("z",h.traceCoordinate[2],t.zhoverformat)},k=d.castHoverinfo(_,e.fullLayout,w),A=(k||"").split("+"),M=k&&"all"===k;_.hovertemplate||M||(-1===A.indexOf("x")&&(T.xLabel=void 0),-1===A.indexOf("y")&&(T.yLabel=void 0),-1===A.indexOf("z")&&(T.zLabel=void 0),-1===A.indexOf("text")&&(h.textLabel=void 0),-1===A.indexOf("name")&&(u.name=void 0));var S=[];"cone"===t.type||"streamtube"===t.type?(T.uLabel=g("x",h.traceCoordinate[3],t.uhoverformat),(M||-1!==A.indexOf("u"))&&S.push("u: "+T.uLabel),T.vLabel=g("y",h.traceCoordinate[4],t.vhoverformat),(M||-1!==A.indexOf("v"))&&S.push("v: "+T.vLabel),T.wLabel=g("z",h.traceCoordinate[5],t.whoverformat),(M||-1!==A.indexOf("w"))&&S.push("w: "+T.wLabel),T.normLabel=h.traceCoordinate[6].toPrecision(3),(M||-1!==A.indexOf("norm"))&&S.push("norm: "+T.normLabel),"streamtube"===t.type&&(T.divergenceLabel=h.traceCoordinate[7].toPrecision(3),(M||-1!==A.indexOf("divergence"))&&S.push("divergence: "+T.divergenceLabel)),h.textLabel&&S.push(h.textLabel),x=S.join("<br>")):"isosurface"===t.type||"volume"===t.type?(T.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),S.push("value: "+T.valueLabel),h.textLabel&&S.push(h.textLabel),x=S.join("<br>")):x=h.textLabel;var E={x:h.traceCoordinate[0],y:h.traceCoordinate[1],z:h.traceCoordinate[2],data:_._input,fullData:_,curveNumber:_.index,pointNumber:w};d.appendArrayPointValue(E,_,w),t._module.eventData&&(E=_._module.eventData(E,h,_,{},w));var L={points:[E]};if(e.fullSceneLayout.hovermode){var C=[];d.loneHover({trace:_,x:(.5+.5*y[0]/y[3])*s,y:(.5-.5*y[1]/y[3])*l,xLabel:T.xLabel,yLabel:T.yLabel,zLabel:T.zLabel,text:x,name:u.name,color:d.castHoverOption(_,w,"bgcolor")||u.color,borderColor:d.castHoverOption(_,w,"bordercolor"),fontFamily:d.castHoverOption(_,w,"font.family"),fontSize:d.castHoverOption(_,w,"font.size"),fontColor:d.castHoverOption(_,w,"font.color"),nameLength:d.castHoverOption(_,w,"namelength"),textAlign:d.castHoverOption(_,w,"align"),hovertemplate:f.castOption(_,w,"hovertemplate"),hovertemplateLabels:f.extendFlat({},E,T),eventData:[E]},{container:n,gd:r,inOut_bbox:C}),E.bbox=C[0]}h.buttons&&h.distance<5?r.emit("plotly_click",L):r.emit("plotly_hover",L),this.oldEventData=L}else d.loneUnhover(n),this.oldEventData&&r.emit("plotly_unhover",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},w.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):f.error("Catastrophic and unrecoverable WebGL error. Context lost.")};requestAnimationFrame(e)};var k=["xaxis","yaxis","zaxis"];function A(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=k[i],o=a.charAt(0),s=n[a],l=e[o],c=e[o+"calendar"],u=e["_"+o+"length"];if(f.isArrayOrTypedArray(l))for(var h,p=0;p<(u||l.length);p++)if(f.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)h=s.d2l(l[p][d],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else h=s.d2l(l[p],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],u-1)}}w.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,i,a,o,s,l,c=e[this.id],u=r[this.id];this.fullLayout=e,this.fullSceneLayout=c,this.axesOptions.merge(e,c),this.spikeOptions.merge(c),this.setViewport(c),this.updateFx(c.dragmode,c.hovermode),this.camera.enableWheel=this.graphDiv._context._scrollZoom.gl3d,this.glplot.setClearColor(m(c.bgcolor)),this.setConvert(s),t?Array.isArray(t)||(t=[t]):t=[];var f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&A(this,n,f);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=k[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var c=n[l];if(c.visible){var u=s.r2l(c[o]);!isNaN(u)&&isFinite(u)&&(e[0][i]=Math.min(e[0][i],u),e[1][i]=Math.max(e[1][i],u))}}}(this,f);var h=[1,1,1];for(o=0;o<3;++o)f[1][o]===f[0][o]?h[o]=1:h[o]=1/(f[1][o]-f[0][o]);for(this.dataScale=h,this.convertAnnotations(this),a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&((i=this.traces[n.uid])?i.data.type===n.type?i.update(n):(i.dispose(),i=n._module.plot(this,n),this.traces[n.uid]=i):(i=n._module.plot(this,n),this.traces[n.uid]=i),i.name=n.name);var p=Object.keys(this.traces);t:for(a=0;a<p.length;++a){for(o=0;o<t.length;++o)if(t[o].uid===p[a]&&!0===t[o].visible&&0!==t[o]._length)continue t;(i=this.traces[p[a]]).dispose(),delete this.traces[p[a]]}this.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var d,g=[[0,0,0],[0,0,0]],v=[],y={};for(a=0;a<3;++a){if((l=(s=c[k[a]]).type)in y?(y[l].acc*=h[a],y[l].count+=1):y[l]={acc:h[a],count:1},s.autorange){g[0][a]=1/0,g[1][a]=-1/0;var x=this.glplot.objects,b=this.fullSceneLayout.annotations||[],_=s._name.charAt(0);for(o=0;o<x.length;o++){var w=x[o],T=w.bounds,M=w._trace.data._pad||0;"ErrorBars"===w.constructor.name&&s._lowerLogErrorBound?g[0][a]=Math.min(g[0][a],s._lowerLogErrorBound):g[0][a]=Math.min(g[0][a],T[0][a]/h[a]-M),g[1][a]=Math.max(g[1][a],T[1][a]/h[a]+M)}for(o=0;o<b.length;o++){var S=b[o];if(S.visible){var E=s.r2l(S[_]);g[0][a]=Math.min(g[0][a],E),g[1][a]=Math.max(g[1][a],E)}}if("rangemode"in s&&"tozero"===s.rangemode&&(g[0][a]=Math.min(g[0][a],0),g[1][a]=Math.max(g[1][a],0)),g[0][a]>g[1][a])g[0][a]=-1,g[1][a]=1;else{var L=g[1][a]-g[0][a];g[0][a]-=L/32,g[1][a]+=L/32}if("reversed"===s.autorange){var C=g[0][a];g[0][a]=g[1][a],g[1][a]=C}}else{var P=s.range;g[0][a]=s.r2l(P[0]),g[1][a]=s.r2l(P[1])}g[0][a]===g[1][a]&&(g[0][a]-=1,g[1][a]+=1),v[a]=g[1][a]-g[0][a],this.glplot.setBounds(a,{min:g[0][a]*h[a],max:g[1][a]*h[a]})}var I=c.aspectmode;if("cube"===I)d=[1,1,1];else if("manual"===I){var O=c.aspectratio;d=[O.x,O.y,O.z]}else{if("auto"!==I&&"data"!==I)throw new Error("scene.js aspectRatio was not one of the enumerated types");var z=[1,1,1];for(a=0;a<3;++a){var D=y[l=(s=c[k[a]]).type];z[a]=Math.pow(D.acc,1/D.count)/h[a]}d="data"===I||Math.max.apply(null,z)/Math.min.apply(null,z)<=4?z:[1,1,1]}c.aspectratio.x=u.aspectratio.x=d[0],c.aspectratio.y=u.aspectratio.y=d[1],c.aspectratio.z=u.aspectratio.z=d[2],this.glplot.setAspectratio(c.aspectratio),this.viewInitial.aspectratio||(this.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),this.viewInitial.aspectmode||(this.viewInitial.aspectmode=c.aspectmode);var R=c.domain||null,F=e._size||null;if(R&&F){var B=this.container.style;B.position="absolute",B.left=F.l+R.x[0]*F.w+"px",B.top=F.t+(1-R.y[1])*F.h+"px",B.width=F.w*(R.x[1]-R.x[0])+"px",B.height=F.h*(R.y[1]-R.y[0])+"px"}this.glplot.redraw()}},w.destroy=function(){this.glplot&&(this.camera.mouseListener.enabled=!1,this.container.removeEventListener("wheel",this.camera.wheelListener),this.camera=null,this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null)},w.getCamera=function(){var t;return this.camera.view.recalcMatrix(this.camera.view.lastT()),{up:{x:(t=this.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?"orthographic":"perspective"}}},w.setViewport=function(t){var e,r=t.camera;this.camera.lookAt.apply(this,[[(e=r).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),this.glplot.setAspectratio(t.aspectratio),"orthographic"===r.projection.type!==this.camera._ortho&&(this.glplot.redraw(),this.glplot.clearRGBA(),this.glplot.dispose(),this.initializeGLPlot())},w.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+".camera").get();function n(t,e,r,n){var i=["up","center","eye"],a=["x","y","z"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}var i=!1;if(void 0===r)i=!0;else{for(var a=0;a<3;a++)for(var o=0;o<3;o++)if(!n(e,r,a,o)){i=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(i=!0)}return i},w.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=f.nestedProperty(t,this.id+".aspectratio").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},w.saveLayout=function(t){var e,r,n,i,a,o,s=this.fullLayout,l=this.isCameraChanged(t),c=this.isAspectChanged(t),h=l||c;if(h){var p={};if(l&&(e=this.getCamera(),n=(r=f.nestedProperty(t,this.id+".camera")).get(),p[this.id+".camera"]=n),c&&(i=this.glplot.getAspectratio(),o=(a=f.nestedProperty(t,this.id+".aspectratio")).get(),p[this.id+".aspectratio"]=o),u.call("_storeDirectGUIEdit",t,s._preGUI,p),l)r.set(e),f.nestedProperty(s,this.id+".camera").set(e);if(c)a.set(i),f.nestedProperty(s,this.id+".aspectratio").set(i),this.glplot.redraw()}return h},w.updateFx=function(t,e){var r=this.camera;if(r)if("orbit"===t)r.mode="orbit",r.keyBindingMode="rotate";else if("turntable"===t){r.up=[0,0,1],r.mode="turntable",r.keyBindingMode="rotate";var n=this.graphDiv,i=n._fullLayout,a=this.fullSceneLayout.camera,o=a.up.x,s=a.up.y,l=a.up.z;if(l/Math.sqrt(o*o+s*s+l*l)<.999){var c=this.id+".camera.up",h={x:0,y:0,z:1},p={};p[c]=h;var d=n.layout;u.call("_storeDirectGUIEdit",d,i._preGUI,p),a.up=h,f.nestedProperty(d,c).set(h)}}else r.keyBindingMode=t;this.fullSceneLayout.hovermode=e},w.toImage=function(t){t||(t="png"),this.staticMode&&this.container.appendChild(n),this.glplot.redraw();var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a),function(t,e,r){for(var n=0,i=r-1;n<i;++n,--i)for(var a=0;a<e;++a)for(var o=0;o<4;++o){var s=4*(e*n+a)+o,l=4*(e*i+a)+o,c=t[s];t[s]=t[l],t[l]=c}}(a,r,i),function(t,e,r){for(var n=0;n<r;++n)for(var i=0;i<e;++i){var a=4*(e*n+i),o=t[a+3];if(o>0)for(var s=255/o,l=0;l<3;++l)t[a+l]=Math.min(s*t[a+l],255)}}(a,r,i);var o=document.createElement("canvas");o.width=r,o.height=i;var s,l=o.getContext("2d",{willReadFrequently:!0}),c=l.createImageData(r,i);switch(c.data.set(a),l.putImageData(c,0,0),t){case"jpeg":s=o.toDataURL("image/jpeg");break;case"webp":s=o.toDataURL("image/webp");break;default:s=o.toDataURL("image/png")}return this.staticMode&&this.container.removeChild(n),s},w.setConvert=function(){for(var t=0;t<3;t++){var e=this.fullSceneLayout[k[t]];p.setConvert(e,this.fullLayout),e.setScale=f.noop}},w.make4thDimension=function(){var t=this.graphDiv._fullLayout;this._mockAxis={type:"linear",showexponent:"all",exponentformat:"B"},p.setConvert(this._mockAxis,t)},e.exports=_},{"../../../stackgl_modules":1133,"../../components/fx":407,"../../lib":515,"../../lib/show_no_webgl_msg":537,"../../lib/str2rgbarray":540,"../../plots/cartesian/axes":566,"../../registry":647,"./layout/convert":611,"./layout/spikes":614,"./layout/tick_marks":615,"./project":616,"has-passive-events":229,"webgl-context":332}],618:[function(t,e,r){"use strict";e.exports=function(t,e,r,n){n=n||t.length;for(var i=new Array(n),a=0;a<n;a++)i[a]=[t[a],e[a],r[a]];return i}},{}],619:[function(t,e,r){"use strict";var n=t("./font_attributes"),i=t("./animation_attributes"),a=t("../components/color/attributes"),o=t("../components/shapes/draw_newshape/attributes"),s=t("../components/selections/draw_newselection/attributes"),l=t("./pad_attributes"),c=t("../lib/extend").extendFlat,u=n({editType:"calc"});u.family.dflt='"Open Sans", verdana, arial, sans-serif',u.size.dflt=12,u.color.dflt=a.defaultLine,e.exports={font:u,title:{text:{valType:"string",editType:"layoutstyle"},font:n({editType:"layoutstyle"}),xref:{valType:"enumerated",dflt:"container",values:["container","paper"],editType:"layoutstyle"},yref:{valType:"enumerated",dflt:"container",values:["container","paper"],editType:"layoutstyle"},x:{valType:"number",min:0,max:1,dflt:.5,editType:"layoutstyle"},y:{valType:"number",min:0,max:1,dflt:"auto",editType:"layoutstyle"},xanchor:{valType:"enumerated",dflt:"auto",values:["auto","left","center","right"],editType:"layoutstyle"},yanchor:{valType:"enumerated",dflt:"auto",values:["auto","top","middle","bottom"],editType:"layoutstyle"},pad:c(l({editType:"layoutstyle"}),{}),editType:"layoutstyle"},uniformtext:{mode:{valType:"enumerated",values:[!1,"hide","show"],dflt:!1,editType:"plot"},minsize:{valType:"number",min:0,dflt:0,editType:"plot"},editType:"plot"},autosize:{valType:"boolean",dflt:!1,editType:"none"},width:{valType:"number",min:10,dflt:700,editType:"plot"},height:{valType:"number",min:10,dflt:450,editType:"plot"},minreducedwidth:{valType:"number",min:2,dflt:64,editType:"plot"},minreducedheight:{valType:"number",min:2,dflt:64,editType:"plot"},margin:{l:{valType:"number",min:0,dflt:80,editType:"plot"},r:{valType:"number",min:0,dflt:80,editType:"plot"},t:{valType:"number",min:0,dflt:100,editType:"plot"},b:{valType:"number",min:0,dflt:80,editType:"plot"},pad:{valType:"number",min:0,dflt:0,editType:"plot"},autoexpand:{valType:"boolean",dflt:!0,editType:"plot"},editType:"plot"},computed:{valType:"any",editType:"none"},paper_bgcolor:{valType:"color",dflt:a.background,editType:"plot"},plot_bgcolor:{valType:"color",dflt:a.background,editType:"layoutstyle"},autotypenumbers:{valType:"enumerated",values:["convert types","strict"],dflt:"convert types",editType:"calc"},separators:{valType:"string",editType:"plot"},hidesources:{valType:"boolean",dflt:!1,editType:"plot"},showlegend:{valType:"boolean",editType:"legend"},colorway:{valType:"colorlist",dflt:a.defaults,editType:"calc"},datarevision:{valType:"any",editType:"calc"},uirevision:{valType:"any",editType:"none"},editrevision:{valType:"any",editType:"none"},selectionrevision:{valType:"any",editType:"none"},template:{valType:"any",editType:"calc"},newshape:o.newshape,activeshape:o.activeshape,newselection:s.newselection,activeselection:s.activeselection,meta:{valType:"any",arrayOk:!0,editType:"plot"},transition:c({},i.transition,{editType:"none"}),_deprecated:{title:{valType:"string",editType:"layoutstyle"},titlefont:n({editType:"layoutstyle"})}}},{"../components/color/attributes":366,"../components/selections/draw_newselection/attributes":451,"../components/shapes/draw_newshape/attributes":463,"../lib/extend":505,"./animation_attributes":560,"./font_attributes":594,"./pad_attributes":627}],620:[function(t,e,r){"use strict";var n=t("../../lib/sort_object_keys"),i='\xa9 <a target="_blank" href="https://www.openstreetmap.org/copyright">OpenStreetMap</a> contributors',a=['\xa9 <a target="_blank" href="https://carto.com/">Carto</a>',i].join(" "),o=['Map tiles by <a target="_blank" href="https://stamen.com">Stamen Design</a>','under <a target="_blank" href="https://creativecommons.org/licenses/by/3.0">CC BY 3.0</a>',"|",'Data by <a target="_blank" href="https://openstreetmap.org">OpenStreetMap</a> contributors','under <a target="_blank" href="https://www.openstreetmap.org/copyright">ODbL</a>'].join(" "),s={"open-street-map":{id:"osm",version:8,sources:{"plotly-osm-tiles":{type:"raster",attribution:i,tiles:["https://a.tile.openstreetmap.org/{z}/{x}/{y}.png","https://b.tile.openstreetmap.org/{z}/{x}/{y}.png"],tileSize:256}},layers:[{id:"plotly-osm-tiles",type:"raster",source:"plotly-osm-tiles",minzoom:0,maxzoom:22}]},"white-bg":{id:"white-bg",version:8,sources:{},layers:[{id:"white-bg",type:"background",paint:{"background-color":"#FFFFFF"},minzoom:0,maxzoom:22}]},"carto-positron":{id:"carto-positron",version:8,sources:{"plotly-carto-positron":{type:"raster",attribution:a,tiles:["https://cartodb-basemaps-c.global.ssl.fastly.net/light_all/{z}/{x}/{y}.png"],tileSize:256}},layers:[{id:"plotly-carto-positron",type:"raster",source:"plotly-carto-positron",minzoom:0,maxzoom:22}]},"carto-darkmatter":{id:"carto-darkmatter",version:8,sources:{"plotly-carto-darkmatter":{type:"raster",attribution:a,tiles:["https://cartodb-basemaps-c.global.ssl.fastly.net/dark_all/{z}/{x}/{y}.png"],tileSize:256}},layers:[{id:"plotly-carto-darkmatter",type:"raster",source:"plotly-carto-darkmatter",minzoom:0,maxzoom:22}]},"stamen-terrain":{id:"stamen-terrain",version:8,sources:{"plotly-stamen-terrain":{type:"raster",attribution:o,tiles:["https://stamen-tiles.a.ssl.fastly.net/terrain/{z}/{x}/{y}.png"],tileSize:256}},layers:[{id:"plotly-stamen-terrain",type:"raster",source:"plotly-stamen-terrain",minzoom:0,maxzoom:22}]},"stamen-toner":{id:"stamen-toner",version:8,sources:{"plotly-stamen-toner":{type:"raster",attribution:o,tiles:["https://stamen-tiles.a.ssl.fastly.net/toner/{z}/{x}/{y}.png"],tileSize:256}},layers:[{id:"plotly-stamen-toner",type:"raster",source:"plotly-stamen-toner",minzoom:0,maxzoom:22}]},"stamen-watercolor":{id:"stamen-watercolor",version:8,sources:{"plotly-stamen-watercolor":{type:"raster",attribution:['Map tiles by <a target="_blank" href="https://stamen.com">Stamen Design</a>','under <a target="_blank" href="https://creativecommons.org/licenses/by/3.0">CC BY 3.0</a>',"|",'Data by <a target="_blank" href="https://openstreetmap.org">OpenStreetMap</a> contributors','under <a target="_blank" href="https://creativecommons.org/licenses/by-sa/3.0">CC BY SA</a>'].join(" "),tiles:["https://stamen-tiles.a.ssl.fastly.net/watercolor/{z}/{x}/{y}.png"],tileSize:256}},layers:[{id:"plotly-stamen-watercolor",type:"raster",source:"plotly-stamen-watercolor",minzoom:0,maxzoom:22}]}},l=n(s);e.exports={requiredVersion:"1.10.1",styleUrlPrefix:"mapbox://styles/mapbox/",styleUrlSuffix:"v9",styleValuesMapbox:["basic","streets","outdoors","light","dark","satellite","satellite-streets"],styleValueDflt:"basic",stylesNonMapbox:s,styleValuesNonMapbox:l,traceLayerPrefix:"plotly-trace-layer-",layoutLayerPrefix:"plotly-layout-layer-",wrongVersionErrorMsg:["Your custom plotly.js bundle is not using the correct mapbox-gl version","Please install mapbox-gl@1.10.1."].join("\n"),noAccessTokenErrorMsg:["Missing Mapbox access token.","Mapbox trace type require a Mapbox access token to be registered.","For example:","  Plotly.newPlot(gd, data, layout, { mapboxAccessToken: 'my-access-token' });","More info here: https://www.mapbox.com/help/define-access-token/"].join("\n"),missingStyleErrorMsg:["No valid mapbox style found, please set `mapbox.style` to one of:",l.join(", "),"or register a Mapbox access token to use a Mapbox-served style."].join("\n"),multipleTokensErrorMsg:["Set multiple mapbox access token across different mapbox subplot,","using first token found as mapbox-gl does not allow multipleaccess tokens on the same page."].join("\n"),mapOnErrorMsg:"Mapbox error.",mapboxLogo:{path0:"m 10.5,1.24 c -5.11,0 -9.25,4.15 -9.25,9.25 0,5.1 4.15,9.25 9.25,9.25 5.1,0 9.25,-4.15 9.25,-9.25 0,-5.11 -4.14,-9.25 -9.25,-9.25 z m 4.39,11.53 c -1.93,1.93 -4.78,2.31 -6.7,2.31 -0.7,0 -1.41,-0.05 -2.1,-0.16 0,0 -1.02,-5.64 2.14,-8.81 0.83,-0.83 1.95,-1.28 3.13,-1.28 1.27,0 2.49,0.51 3.39,1.42 1.84,1.84 1.89,4.75 0.14,6.52 z",path1:"M 10.5,-0.01 C 4.7,-0.01 0,4.7 0,10.49 c 0,5.79 4.7,10.5 10.5,10.5 5.8,0 10.5,-4.7 10.5,-10.5 C 20.99,4.7 16.3,-0.01 10.5,-0.01 Z m 0,19.75 c -5.11,0 -9.25,-4.15 -9.25,-9.25 0,-5.1 4.14,-9.26 9.25,-9.26 5.11,0 9.25,4.15 9.25,9.25 0,5.13 -4.14,9.26 -9.25,9.26 z",path2:"M 14.74,6.25 C 12.9,4.41 9.98,4.35 8.23,6.1 5.07,9.27 6.09,14.91 6.09,14.91 c 0,0 5.64,1.02 8.81,-2.14 C 16.64,11 16.59,8.09 14.74,6.25 Z m -2.27,4.09 -0.91,1.87 -0.9,-1.87 -1.86,-0.91 1.86,-0.9 0.9,-1.87 0.91,1.87 1.86,0.9 z",polygon:"11.56,12.21 10.66,10.34 8.8,9.43 10.66,8.53 11.56,6.66 12.47,8.53 14.33,9.43 12.47,10.34"},styleRules:{map:"overflow:hidden;position:relative;","missing-css":"display:none;",canary:"background-color:salmon;","ctrl-bottom-left":"position: absolute; pointer-events: none; z-index: 2; bottom: 0; left: 0;","ctrl-bottom-right":"position: absolute; pointer-events: none; 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n,i=this,a=e[i.id];i.map&&a.accesstoken!==i.accessToken&&(i.map.remove(),i.map=null,i.styleObj=null,i.traceHash={},i.layerList=[]),n=i.map?new Promise((function(r,n){i.updateMap(t,e,r,n)})):new Promise((function(r,n){i.createMap(t,e,r,n)})),r.push(n)},b.createMap=function(t,e,r,i){var o=this,s=e[o.id],l=o.styleObj=w(s.style);o.accessToken=s.accesstoken;var c=s.bounds,u=c?[[c.west,c.south],[c.east,c.north]]:null,f=o.map=new n.Map({container:o.div,style:l.style,center:k(s.center),zoom:s.zoom,bearing:s.bearing,pitch:s.pitch,maxBounds:u,interactive:!o.isStatic,preserveDrawingBuffer:o.isStatic,doubleClickZoom:!1,boxZoom:!1,attributionControl:!1}).addControl(new n.AttributionControl({compact:!0}));f._canvas.style.left="0px",f._canvas.style.top="0px",o.rejectOnError(i),o.isStatic||o.initFx(t,e);var h=[];h.push(new 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I=C.selectAll("text").data(P);function O(e,r,n,i){if(!e.match("s")||n>=0==i>=0||r(n).slice(-1).match(_)||r(i).slice(-1).match(_))return r;var a=e.slice().replace("s","f").replace(/\d+/,(function(t){return parseInt(t)-1})),o=k(t,{tickformat:a});return function(t){return Math.abs(t)<1?d.tickText(o,t).text:r(t)}}I.enter().append("text"),I.attr("text-anchor",(function(){return A})).attr("class",(function(t){return t})).attr("x",null).attr("y",null).attr("dx",null).attr("dy",null),I.exit().remove();var z,D=m.mode+m.align;m._hasDelta&&(z=function(){var e=k(t,{tickformat:m.delta.valueformat},m._range);e.setScale(),d.prepTicks(e);var i=function(t){return d.tickText(e,t).text},o=m.delta.suffix,s=m.delta.prefix,l=function(t){return m.delta.relative?t.relativeDelta:t.delta},c=function(t,e){return 0===t||"number"!=typeof t||isNaN(t)?"-":(t>0?m.delta.increasing.symbol:m.delta.decreasing.symbol)+s+e(t)+o},h=function(t){return t.delta>=0?m.delta.increasing.color:m.delta.decreasing.color};void 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e="number"==typeof r[0].y?s+i(r[0].y)+o:"-";l.text(e).call(f.font,m.number.font).call(p.convertToTspans,t)}w(E)?l.transition().duration(E.duration).ease(E.easing).each("end",(function(){u(),L&&L()})).each("interrupt",(function(){u(),L&&L()})).attrTween("text",(function(){var t=n.select(this),e=a(r[0].lastY,r[0].y);m._lastValue=r[0].y;var l=O(m.number.valueformat,i,r[0].lastY,r[0].y);return function(r){t.text(s+l(e(r))+o)}})):u(),c=M(s+i(r[0].y)+o,m.number.font,A,t)}(),D+=m.number.font.size+m.number.font.family+m.number.valueformat+m.number.suffix+m.number.prefix,h=c);if(m._hasDelta&&m._hasNumber){var R,F,B=[(c.left+c.right)/2,(c.top+c.bottom)/2],N=[(u.left+u.right)/2,(u.top+u.bottom)/2],j=.75*m.delta.font.size;"left"===m.delta.position&&(R=S(m,"deltaPos",0,-1*(c.width*b[m.align]+u.width*(1-b[m.align])+j),D,Math.min),F=B[1]-N[1],h={width:c.width+u.width+j,height:Math.max(c.height,u.height),left:u.left+R,right:c.right,top:Math.min(c.top,u.top+F),bottom:Math.max(c.bottom,u.bottom+F)}),"right"===m.delta.position&&(R=S(m,"deltaPos",0,c.width*(1-b[m.align])+u.width*b[m.align]+j,D,Math.max),F=B[1]-N[1],h={width:c.width+u.width+j,height:Math.max(c.height,u.height),left:c.left,right:u.right+R,top:Math.min(c.top,u.top+F),bottom:Math.max(c.bottom,u.bottom+F)}),"bottom"===m.delta.position&&(R=null,F=u.height,h={width:Math.max(c.width,u.width),height:c.height+u.height,left:Math.min(c.left,u.left),right:Math.max(c.right,u.right),top:c.bottom-c.height,bottom:c.bottom+u.height}),"top"===m.delta.position&&(R=null,F=c.top,h={width:Math.max(c.width,u.width),height:c.height+u.height,left:Math.min(c.left,u.left),right:Math.max(c.right,u.right),top:c.bottom-c.height-u.height,bottom:c.bottom}),z.attr({dx:R,dy:F})}(m._hasNumber||m._hasDelta)&&C.attr("transform",(function(){var t=i.numbersScaler(h);D+=t[2];var e,r=S(m,"numbersScale",1,t[0],D,Math.min);m._scaleNumbers||(r=1),e=m._isAngular?v-r*h.bottom:v-r*(h.top+h.bottom)/2,m._numbersTop=r*h.top+e;var n=h[T];"center"===T&&(n=(h.left+h.right)/2);var a=g-r*n;return a=S(m,"numbersTranslate",0,a,D,Math.max),l(a,e)+s(r)}))}(t,O,e,{numbersX:m,numbersY:E,numbersScaler:L,transitionOpts:r,onComplete:g}),z&&(C={range:I.gauge.axis.range,color:I.gauge.bgcolor,line:{color:I.gauge.bordercolor,width:0},thickness:1},P={range:I.gauge.axis.range,color:"rgba(0, 0, 0, 0)",line:{color:I.gauge.bordercolor,width:I.gauge.borderwidth},thickness:1});var Y=O.selectAll("g.angular").data(D?e:[]);Y.exit().remove();var W=O.selectAll("g.angularaxis").data(D?e:[]);W.exit().remove(),D&&function(t,e,r,a){var o,s,f,h,p=r[0].trace,m=a.size,g=a.radius,v=a.innerRadius,y=a.gaugeBg,x=a.gaugeOutline,b=[m.l+m.w/2,m.t+m.h/2+g/2],_=a.gauge,A=a.layer,M=a.transitionOpts,S=a.onComplete,E=Math.PI/2;function L(t){var e=p.gauge.axis.range[0],r=(t-e)/(p.gauge.axis.range[1]-e)*Math.PI-E;return r<-E?-E:r>E?E:r}function C(t){return n.svg.arc().innerRadius((v+g)/2-t/2*(g-v)).outerRadius((v+g)/2+t/2*(g-v)).startAngle(-E)}function P(t){t.attr("d",(function(t){return C(t.thickness).startAngle(L(t.range[0])).endAngle(L(t.range[1]))()}))}_.enter().append("g").classed("angular",!0),_.attr("transform",l(b[0],b[1])),A.enter().append("g").classed("angularaxis",!0).classed("crisp",!0),A.selectAll("g.xangularaxistick,path,text").remove(),(o=k(t,p.gauge.axis)).type="linear",o.range=p.gauge.axis.range,o._id="xangularaxis",o.ticklabeloverflow="allow",o.setScale();var I=function(t){return(o.range[0]-t.x)/(o.range[1]-o.range[0])*Math.PI+Math.PI},O={},z=d.makeLabelFns(o,0).labelStandoff;O.xFn=function(t){var e=I(t);return Math.cos(e)*z},O.yFn=function(t){var e=I(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(z+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*u)},O.anchorFn=function(t){var e=I(t),r=Math.cos(e);return 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U=j.select("path");w(M)?(U.transition().duration(M.duration).ease(M.easing).each("end",(function(){S&&S()})).each("interrupt",(function(){S&&S()})).attrTween("d",(V=N,H=L(r[0].lastY),q=L(r[0].y),function(){var t=i(H,q);return function(e){return V.endAngle(t(e))()}})),p._lastValue=r[0].y):U.attr("d","number"==typeof r[0].y?N.endAngle(L(r[0].y)):"M0,0Z");var V,H,q;U.call(T),j.exit().remove(),F=[];var G=p.gauge.threshold.value;(G||0===G)&&F.push({range:[G,G],color:p.gauge.threshold.color,line:{color:p.gauge.threshold.line.color,width:p.gauge.threshold.line.width},thickness:p.gauge.threshold.thickness});var Y=_.selectAll("g.threshold-arc").data(F);Y.enter().append("g").classed("threshold-arc",!0).append("path"),Y.select("path").call(P).call(T),Y.exit().remove();var W=_.selectAll("g.gauge-outline").data([x]);W.enter().append("g").classed("gauge-outline",!0).append("path"),W.select("path").call(P).call(T),W.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:Y,layer:W,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var Z=O.selectAll("g.bullet").data(R?e:[]);Z.exit().remove();var X=O.selectAll("g.bulletaxis").data(R?e:[]);X.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,c,u=r[0].trace,f=n.gauge,p=n.layer,m=n.gaugeBg,g=n.gaugeOutline,v=n.size,x=u.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append("g").classed("bullet",!0),f.attr("transform",l(v.l,v.t)),p.enter().append("g").classed("bulletaxis",!0).classed("crisp",!0),p.selectAll("g.xbulletaxistick,path,text").remove();var A=v.h,M=u.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(u._hasNumber||u._hasDelta?1-h.bulletNumberDomainSize:1);(i=k(t,u.gauge.axis))._id="xbulletaxis",i.domain=[S,E],i.setScale(),a=d.calcTicks(i),o=d.makeTransTickFn(i),s=d.getTickSigns(i)[2],c=v.t+v.h,i.visible&&(d.drawTicks(t,i,{vals:"inside"===i.ticks?d.clipEnds(i,a):a,layer:p,path:d.makeTickPath(i,c,s),transFn:o}),d.drawLabels(t,i,{vals:a,layer:p,transFn:o,labelFns:d.makeLabelFns(i,c)}));function L(t){t.attr("width",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr("x",(function(t){return i.c2p(t.range[0])})).attr("y",(function(t){return.5*(1-t.thickness)*A})).attr("height",(function(t){return t.thickness*A}))}var C=[m].concat(u.gauge.steps),P=f.selectAll("g.bg-bullet").data(C);P.enter().append("g").classed("bg-bullet",!0).append("rect"),P.select("rect").call(L).call(T),P.exit().remove();var I=f.selectAll("g.value-bullet").data([u.gauge.bar]);I.enter().append("g").classed("value-bullet",!0).append("rect"),I.select("rect").attr("height",M).attr("y",(A-M)/2).call(T),w(b)?I.select("rect").transition().duration(b.duration).ease(b.easing).each("end",(function(){_&&_()})).each("interrupt",(function(){_&&_()})).attr("width",Math.max(0,i.c2p(Math.min(u.gauge.axis.range[1],r[0].y)))):I.select("rect").attr("width","number"==typeof r[0].y?Math.max(0,i.c2p(Math.min(u.gauge.axis.range[1],r[0].y))):0);I.exit().remove();var O=r.filter((function(){return u.gauge.threshold.value||0===u.gauge.threshold.value})),z=f.selectAll("g.threshold-bullet").data(O);z.enter().append("g").classed("threshold-bullet",!0).append("line"),z.select("line").attr("x1",i.c2p(u.gauge.threshold.value)).attr("x2",i.c2p(u.gauge.threshold.value)).attr("y1",(1-u.gauge.threshold.thickness)/2*A).attr("y2",(1-(1-u.gauge.threshold.thickness)/2)*A).call(y.stroke,u.gauge.threshold.line.color).style("stroke-width",u.gauge.threshold.line.width),z.exit().remove();var D=f.selectAll("g.gauge-outline").data([g]);D.enter().append("g").classed("gauge-outline",!0).append("rect"),D.select("rect").call(L).call(T),D.exit().remove()}(t,0,e,{gauge:Z,layer:X,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var J=O.selectAll("text.title").data(e);J.exit().remove(),J.enter().append("text").classed("title",!0),J.attr("text-anchor",(function(){return R?x.right:x[I.title.align]})).text(I.title.text).call(f.font,I.title.font).call(p.convertToTspans,t),J.attr("transform",(function(){var t,e=B.l+B.w*b[I.title.align],r=h.titlePadding,n=f.bBox(J.node());if(z){if(D)if(I.gauge.axis.visible)t=f.bBox(W.node()).top-r-n.bottom;else t=B.t+B.h/2-U/2-n.bottom-r;R&&(t=E-(n.top+n.bottom)/2,e=B.l-h.bulletPadding*B.w)}else t=I._numbersTop-r-n.bottom;return l(e,t)}))}))}},{"../../components/color":367,"../../components/drawing":389,"../../constants/alignment":483,"../../lib":515,"../../lib/svg_text_utils":541,"../../plots/cartesian/axes":566,"../../plots/cartesian/axis_defaults":568,"../../plots/cartesian/layout_attributes":579,"../../plots/cartesian/position_defaults":582,"./constants":867,"@plotly/d3":58,"d3-interpolate":116}],871:[function(t,e,r){"use strict";var n=t("../../components/colorscale/attributes"),i=t("../../plots/cartesian/axis_format_attributes").axisHoverFormat,a=t("../../plots/template_attributes").hovertemplateAttrs,o=t("../mesh3d/attributes"),s=t("../../plots/attributes"),l=t("../../lib/extend").extendFlat,c=t("../../plot_api/edit_types").overrideAll;var u=e.exports=c(l({x:{valType:"data_array"},y:{valType:"data_array"},z:{valType:"data_array"},value:{valType:"data_array"},isomin:{valType:"number"},isomax:{valType:"number"},surface:{show:{valType:"boolean",dflt:!0},count:{valType:"integer",dflt:2,min:1},fill:{valType:"number",min:0,max:1,dflt:1},pattern:{valType:"flaglist",flags:["A","B","C","D","E"],extras:["all","odd","even"],dflt:"all"}},spaceframe:{show:{valType:"boolean",dflt:!1},fill:{valType:"number",min:0,max:1,dflt:.15}},slices:{x:{show:{valType:"boolean",dflt:!1},locations:{valType:"data_array",dflt:[]},fill:{valType:"number",min:0,max:1,dflt:1}},y:{show:{valType:"boolean",dflt:!1},locations:{valType:"data_array",dflt:[]},fill:{valType:"number",min:0,max:1,dflt:1}},z:{show:{valType:"boolean",dflt:!1},locations:{valType:"data_array",dflt:[]},fill:{valType:"number",min:0,max:1,dflt:1}}},caps:{x:{show:{valType:"boolean",dflt:!0},fill:{valType:"number",min:0,max:1,dflt:1}},y:{show:{valType:"boolean",dflt:!0},fill:{valType:"number",min:0,max:1,dflt:1}},z:{show:{valType:"boolean",dflt:!0},fill:{valType:"number",min:0,max:1,dflt:1}}},text:{valType:"string",dflt:"",arrayOk:!0},hovertext:{valType:"string",dflt:"",arrayOk:!0},hovertemplate:a(),xhoverformat:i("x"),yhoverformat:i("y"),zhoverformat:i("z"),valuehoverformat:i("value",1),showlegend:l({},s.showlegend,{dflt:!1})},n("",{colorAttr:"`value`",showScaleDflt:!0,editTypeOverride:"calc"}),{opacity:o.opacity,lightposition:o.lightposition,lighting:o.lighting,flatshading:o.flatshading,contour:o.contour,hoverinfo:l({},s.hoverinfo)}),"calc","nested");u.flatshading.dflt=!0,u.lighting.facenormalsepsilon.dflt=0,u.x.editType=u.y.editType=u.z.editType=u.value.editType="calc+clearAxisTypes",u.transforms=void 0},{"../../components/colorscale/attributes":374,"../../lib/extend":505,"../../plot_api/edit_types":548,"../../plots/attributes":562,"../../plots/cartesian/axis_format_attributes":569,"../../plots/template_attributes":642,"../mesh3d/attributes":876}],872:[function(t,e,r){"use strict";var n=t("../../components/colorscale/calc"),i=t("../streamtube/calc").processGrid,a=t("../streamtube/calc").filter;e.exports=function(t,e){e._len=Math.min(e.x.length,e.y.length,e.z.length,e.value.length),e._x=a(e.x,e._len),e._y=a(e.y,e._len),e._z=a(e.z,e._len),e._value=a(e.value,e._len);var r=i(e);e._gridFill=r.fill,e._Xs=r.Xs,e._Ys=r.Ys,e._Zs=r.Zs,e._len=r.len;for(var o=1/0,s=-1/0,l=0;l<e._len;l++){var c=e._value[l];o=Math.min(o,c),s=Math.max(s,c)}e._minValues=o,e._maxValues=s,e._vMin=void 0===e.isomin||null===e.isomin?o:e.isomin,e._vMax=void 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e=t.data.index,r=this.data._meshX[e],n=this.data._meshY[e],i=this.data._meshZ[e],a=this.data._Ys.length,o=this.data._Zs.length,s=l(r,this.data._Xs).id,c=l(n,this.data._Ys).id,u=l(i,this.data._Zs).id,f=t.index=u+o*c+o*a*s;t.traceCoordinate=[this.data._meshX[f],this.data._meshY[f],this.data._meshZ[f],this.data._value[f]];var h=this.data.hovertext||this.data.text;return Array.isArray(h)&&void 0!==h[f]?t.textLabel=h[f]:h&&(t.textLabel=h),!0}},u.update=function(t){var e=this.scene,r=e.fullSceneLayout;function n(t,e,r,n){return e.map((function(e){return t.d2l(e,0,n)*r}))}this.data=h(t);var 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n=t("@plotly/d3"),i=t("../../components/drawing"),a=t("../../components/color");e.exports=function(t,e,r){var o=r||n.select(t).selectAll("g.ohlclayer").selectAll("g.trace");o.style("opacity",(function(t){return t[0].trace.opacity})),o.each((function(t){var e=t[0].trace;n.select(this).selectAll("path").each((function(t){if(!t.empty){var r=e[t.dir].line;n.select(this).style("fill","none").call(a.stroke,r.color).call(i.dashLine,r.dash,r.width).style("opacity",e.selectedpoints&&!t.selected?.3:1)}}))}))}},{"../../components/color":367,"../../components/drawing":389,"@plotly/d3":58}],890:[function(t,e,r){"use strict";var n=t("../../lib/extend").extendFlat,i=t("../../plots/attributes"),a=t("../../plots/font_attributes"),o=t("../../components/colorscale/attributes"),s=t("../../plots/template_attributes").hovertemplateAttrs,l=t("../../plots/domain").attributes,c=n({editType:"calc"},o("line",{editTypeOverride:"calc"}),{shape:{valType:"enumerated",values:["linear","hspline"],dflt:"linear",editType:"plot"},hovertemplate:s({editType:"plot",arrayOk:!1},{keys:["count","probability"]})});e.exports={domain:l({name:"parcats",trace:!0,editType:"calc"}),hoverinfo:n({},i.hoverinfo,{flags:["count","probability"],editType:"plot",arrayOk:!1}),hoveron:{valType:"enumerated",values:["category","color","dimension"],dflt:"category",editType:"plot"},hovertemplate:s({editType:"plot",arrayOk:!1},{keys:["count","probability","category","categorycount","colorcount","bandcolorcount"]}),arrangement:{valType:"enumerated",values:["perpendicular","freeform","fixed"],dflt:"perpendicular",editType:"plot"},bundlecolors:{valType:"boolean",dflt:!0,editType:"plot"},sortpaths:{valType:"enumerated",values:["forward","backward"],dflt:"forward",editType:"plot"},labelfont:a({editType:"calc"}),tickfont:a({editType:"calc"}),dimensions:{_isLinkedToArray:"dimension",label:{valType:"string",editType:"calc"},categoryorder:{valType:"enumerated",values:["trace","category 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i=n._has&&n._has("parcats"),a=e._has&&e._has("parcats");i&&!a&&n._paperdiv.selectAll(".parcats").remove()}},{"../../plots/get_data":602,"./plot":896}],892:[function(t,e,r){"use strict";var n=t("../../lib/gup").wrap,i=t("../../components/colorscale/helpers").hasColorscale,a=t("../../components/colorscale/calc"),o=t("../../lib/filter_unique.js"),s=t("../../components/drawing"),l=t("../../lib"),c=t("fast-isnumeric");function u(t,e,r){t.valueInds.push(e),t.count+=r}function f(t,e,r){return{categoryInds:t,color:e,rawColor:r,valueInds:[],count:0}}function h(t,e,r){t.valueInds.push(e),t.count+=r}e.exports=function(t,e){var r=l.filterVisible(e.dimensions);if(0===r.length)return[];var p,d,m,g=r.map((function(t){var e;if("trace"===t.categoryorder)e=null;else if("array"===t.categoryorder)e=t.categoryarray;else{e=o(t.values);for(var r=!0,n=0;n<e.length;n++)if(!c(e[n])){r=!1;break}e.sort(r?l.sorterAsc:void 0),"category descending"===t.categoryorder&&(e=e.reverse())}return function(t,e){e=null==e?[]:e.map((function(t){return t}));var r={},n={},i=[];e.forEach((function(t,e){r[t]=0,n[t]=e}));for(var a=0;a<t.length;a++){var o,s=t[a];void 0===r[s]?(r[s]=1,o=e.push(s)-1,n[s]=o):(r[s]++,o=n[s]),i.push(o)}var l=e.map((function(t){return r[t]}));return{uniqueValues:e,uniqueCounts:l,inds:i}}(t.values,e)}));p=l.isArrayOrTypedArray(e.counts)?e.counts:[e.counts],function(t){var e;if(function(t){for(var e=new Array(t.length),r=0;r<t.length;r++){if(t[r]<0||t[r]>=t.length)return!1;if(void 0!==e[t[r]])return!1;e[t[r]]=!0}return!0}(t.map((function(t){return t.displayindex}))))for(e=0;e<t.length;e++)t[e]._displayindex=t[e].displayindex;else for(e=0;e<t.length;e++)t[e]._displayindex=e}(r),r.forEach((function(t,e){!function(t,e){t._categoryarray=e.uniqueValues,null===t.ticktext||void 0===t.ticktext?t._ticktext=[]:t._ticktext=t.ticktext.slice();for(var r=t._ticktext.length;r<e.uniqueValues.length;r++)t._ticktext.push(e.uniqueValues[r])}(t,g[e])}));var v,y=e.line;y?(i(e,"line")&&a(t,e,{vals:e.line.color,containerStr:"line",cLetter:"c"}),v=s.tryColorscale(y)):v=l.identity;var x,b,_,w,T,k=r[0].values.length,A={},M=g.map((function(t){return t.inds}));for(m=0,x=0;x<k;x++){var S=[];for(b=0;b<M.length;b++)S.push(M[b][x]);d=p[x%p.length],m+=d;var E=(_=x,w=void 0,T=void 0,l.isArrayOrTypedArray(y.color)?T=w=y.color[_%y.color.length]:w=y.color,{color:v(w),rawColor:T}),L=S+"-"+E.rawColor;void 0===A[L]&&(A[L]=f(S,E.color,E.rawColor)),h(A[L],x,d)}var C,P=r.map((function(t,e){return function(t,e,r,n,i){return{dimensionInd:t,containerInd:e,displayInd:r,dimensionLabel:n,count:i,categories:[],dragX:null}}(e,t._index,t._displayindex,t.label,m)}));for(x=0;x<k;x++)for(d=p[x%p.length],b=0;b<P.length;b++){var I=P[b].containerInd,O=g[b].inds[x],z=P[b].categories;if(void 0===z[O]){var D=e.dimensions[I]._categoryarray[O],R=e.dimensions[I]._ticktext[O];z[O]={dimensionInd:b,categoryInd:C=O,categoryValue:D,displayInd:C,categoryLabel:R,valueInds:[],count:0,dragY:null}}u(z[O],x,d)}return n(function(t,e,r){var n=t.map((function(t){return t.categories.length})).reduce((function(t,e){return Math.max(t,e)}));return{dimensions:t,paths:e,trace:void 0,maxCats:n,count:r}}(P,A,m))}},{"../../components/colorscale/calc":375,"../../components/colorscale/helpers":378,"../../components/drawing":389,"../../lib":515,"../../lib/filter_unique.js":506,"../../lib/gup":512,"fast-isnumeric":190}],893:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/colorscale/helpers").hasColorscale,a=t("../../components/colorscale/defaults"),o=t("../../plots/domain").defaults,s=t("../../plots/array_container_defaults"),l=t("./attributes"),c=t("../parcoords/merge_length");function u(t,e){function r(r,i){return n.coerce(t,e,l.dimensions,r,i)}var i=r("values"),a=r("visible");if(i&&i.length||(a=e.visible=!1),a){r("label"),r("displayindex",e._index);var o,s=t.categoryarray,c=Array.isArray(s)&&s.length>0;c&&(o="array");var u=r("categoryorder",o);"array"===u?(r("categoryarray"),r("ticktext")):(delete t.categoryarray,delete t.ticktext),c||"array"!==u||(e.categoryorder="trace")}}e.exports=function(t,e,r,f){function h(r,i){return n.coerce(t,e,l,r,i)}var p=s(t,e,{name:"dimensions",handleItemDefaults:u}),d=function(t,e,r,o,s){s("line.shape"),s("line.hovertemplate");var l=s("line.color",o.colorway[0]);if(i(t,"line")&&n.isArrayOrTypedArray(l)){if(l.length)return s("line.colorscale"),a(t,e,o,s,{prefix:"line.",cLetter:"c"}),l.length;e.line.color=r}return 1/0}(t,e,r,f,h);o(e,f,h),Array.isArray(p)&&p.length||(e.visible=!1),c(e,p,"values",d),h("hoveron"),h("hovertemplate"),h("arrangement"),h("bundlecolors"),h("sortpaths"),h("counts");var m={family:f.font.family,size:Math.round(f.font.size),color:f.font.color};n.coerceFont(h,"labelfont",m);var g={family:f.font.family,size:Math.round(f.font.size/1.2),color:f.font.color};n.coerceFont(h,"tickfont",g)}},{"../../components/colorscale/defaults":377,"../../components/colorscale/helpers":378,"../../lib":515,"../../plots/array_container_defaults":561,"../../plots/domain":593,"../parcoords/merge_length":907,"./attributes":890}],894:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),calc:t("./calc"),plot:t("./plot"),colorbar:{container:"line",min:"cmin",max:"cmax"},moduleType:"trace",name:"parcats",basePlotModule:t("./base_plot"),categories:["noOpacity"],meta:{}}},{"./attributes":890,"./base_plot":891,"./calc":892,"./defaults":893,"./plot":896}],895:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("d3-interpolate").interpolateNumber,a=t("../../plot_api/plot_api"),o=t("../../components/fx"),s=t("../../lib"),l=s.strTranslate,c=t("../../components/drawing"),u=t("tinycolor2"),f=t("../../lib/svg_text_utils");function h(t,e,r,i){var a=e._context.staticPlot,o=t.map(F.bind(0,e,r)),u=i.selectAll("g.parcatslayer").data([null]);u.enter().append("g").attr("class","parcatslayer").style("pointer-events",a?"none":"all");var h=u.selectAll("g.trace.parcats").data(o,p),y=h.enter().append("g").attr("class","trace parcats");h.attr("transform",(function(t){return l(t.x,t.y)})),y.append("g").attr("class","paths");var x=h.select("g.paths").selectAll("path.path").data((function(t){return t.paths}),p);x.attr("fill",(function(t){return t.model.color}));var w=x.enter().append("path").attr("class","path").attr("stroke-opacity",0).attr("fill",(function(t){return t.model.color})).attr("fill-opacity",0);_(w),x.attr("d",(function(t){return t.svgD})),w.empty()||x.sort(m),x.exit().remove(),x.on("mouseover",g).on("mouseout",v).on("click",b),y.append("g").attr("class","dimensions");var A=h.select("g.dimensions").selectAll("g.dimension").data((function(t){return t.dimensions}),p);A.enter().append("g").attr("class","dimension"),A.attr("transform",(function(t){return l(t.x,0)})),A.exit().remove();var M=A.selectAll("g.category").data((function(t){return t.categories}),p),S=M.enter().append("g").attr("class","category");M.attr("transform",(function(t){return l(0,t.y)})),S.append("rect").attr("class","catrect").attr("pointer-events","none"),M.select("rect.catrect").attr("fill","none").attr("width",(function(t){return t.width})).attr("height",(function(t){return t.height})),T(S);var E=M.selectAll("rect.bandrect").data((function(t){return t.bands}),p);E.each((function(){s.raiseToTop(this)})),E.attr("fill",(function(t){return t.color}));var z=E.enter().append("rect").attr("class","bandrect").attr("stroke-opacity",0).attr("fill",(function(t){return t.color})).attr("fill-opacity",0);E.attr("fill",(function(t){return t.color})).attr("width",(function(t){return t.width})).attr("height",(function(t){return t.height})).attr("y",(function(t){return t.y})).attr("cursor",(function(t){return"fixed"===t.parcatsViewModel.arrangement?"default":"perpendicular"===t.parcatsViewModel.arrangement?"ns-resize":"move"})),k(z),E.exit().remove(),S.append("text").attr("class","catlabel").attr("pointer-events","none");var D=e._fullLayout.paper_bgcolor;M.select("text.catlabel").attr("text-anchor",(function(t){return d(t)?"start":"end"})).attr("alignment-baseline","middle").style("text-shadow",f.makeTextShadow(D)).style("fill","rgb(0, 0, 0)").attr("x",(function(t){return d(t)?t.width+5:-5})).attr("y",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){c.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),S.append("text").attr("class","dimlabel"),M.select("text.dimlabel").attr("text-anchor","middle").attr("alignment-baseline","baseline").attr("cursor",(function(t){return"fixed"===t.parcatsViewModel.arrangement?"default":"ew-resize"})).attr("x",(function(t){return t.width/2})).attr("y",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){c.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll("rect.bandrect").on("mouseover",L).on("mouseout",C),M.exit().remove(),A.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on("dragstart",P).on("drag",I).on("dragend",O)),h.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll("g.paths").selectAll("path.path"),t.dimensionSelection=n.select(this).selectAll("g.dimensions").selectAll("g.dimension")})),h.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function m(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function g(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")){s.raiseToTop(this),w(n.select(this));var e=y(t),r=x(t);if(t.parcatsViewModel.graphDiv.emit("plotly_hover",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf("none")){var i,a,l,c=n.mouse(this)[0],f=t.parcatsViewModel.graphDiv,h=t.parcatsViewModel.trace,p=f._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),m=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(l=0;l<t.leftXs.length-1;l++)if(t.leftXs[l]+t.dimWidths[l]-2<=c&&c<=t.leftXs[l+1]+2){var g=t.parcatsViewModel.dimensions[l],v=t.parcatsViewModel.dimensions[l+1];i=(g.x+g.width+v.x)/2,a=(t.topYs[l]+t.topYs[l+1]+t.height)/2;break}var b=t.parcatsViewModel.x+i,_=t.parcatsViewModel.y+a,T=u.mostReadable(t.model.color,["black","white"]),k=t.model.count,A=k/t.parcatsViewModel.model.count,M={countLabel:k,probabilityLabel:A.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf("count")&&S.push(["Count:",M.countLabel].join(" ")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf("probability")&&S.push(["P:",M.probabilityLabel].join(" "));var E=S.join("<br>"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+m.left,y:_-d.top+m.top,text:E,color:t.model.color,borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontSize:10,fontColor:T,idealAlign:L<b?"right":"left",hovertemplate:(h.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:h._input,fullData:h,count:k,probability:A}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:f})}}}function v(t){if(!t.parcatsViewModel.dragDimension&&(_(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(m),-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip"))){var e=y(t),r=x(t);t.parcatsViewModel.graphDiv.emit("plotly_unhover",{points:e,event:n.event,constraints:r})}}function y(t){for(var e=[],r=z(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function x(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function b(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")){var e=y(t),r=x(t);t.parcatsViewModel.graphDiv.emit("plotly_click",{points:e,event:n.event,constraints:r})}}function _(t){t.attr("fill",(function(t){return t.model.color})).attr("fill-opacity",.6).attr("stroke","lightgray").attr("stroke-width",.2).attr("stroke-opacity",1)}function w(t){t.attr("fill-opacity",.8).attr("stroke",(function(t){return u.mostReadable(t.model.color,["black","white"])})).attr("stroke-width",.3)}function T(t){t.select("rect.catrect").attr("stroke","black").attr("stroke-width",1).attr("stroke-opacity",1)}function k(t){t.attr("stroke","black").attr("stroke-width",.2).attr("stroke-opacity",1).attr("fill-opacity",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll("rect.bandrect"),l=[];s.each((function(t){A(t).each((function(t){Array.prototype.push.apply(l,y(t))}))}));var c={};c[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function S(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=A(i),l=[];s.each((function(t){Array.prototype.push.apply(l,y(t))}));var c={};c[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(c.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:c})}function E(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select("rect.catrect"),c=l.node().getBoundingClientRect(),u=l.datum(),f=u.parcatsViewModel,h=f.model.dimensions[u.model.dimensionInd],p=f.trace,d=c.top+c.height/2;f.dimensions.length>1&&h.displayInd===f.dimensions.length-1?(i=c.left,a="left"):(i=c.left+c.width,a="right");var m=u.model.count,g=u.model.categoryLabel,v=m/u.parcatsViewModel.model.count,y={countLabel:m,categoryLabel:g,probabilityLabel:v.toFixed(3)},x=[];-1!==u.parcatsViewModel.hoverinfoItems.indexOf("count")&&x.push(["Count:",y.countLabel].join(" ")),-1!==u.parcatsViewModel.hoverinfoItems.indexOf("probability")&&x.push(["P("+y.categoryLabel+"):",y.probabilityLabel].join(" "));var b=x.join("<br>");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:b,color:"lightgray",borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontSize:12,fontColor:"black",idealAlign:a,hovertemplate:p.hovertemplate,hovertemplateLabels:y,eventData:[{data:p._input,fullData:p,count:m,category:g,probability:v}]}}function L(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")){if(n.mouse(this)[1]<-1)return;var e,r=t.parcatsViewModel.graphDiv,i=r._fullLayout,a=i._paperdiv.node().getBoundingClientRect(),l=t.parcatsViewModel.hoveron;if("color"===l?(!function(t){var e=n.select(t).datum(),r=A(e);w(r),r.each((function(){s.raiseToTop(this)})),n.select(t.parentNode).selectAll("rect.bandrect").filter((function(t){return t.color===e.color})).each((function(){s.raiseToTop(this),n.select(this).attr("stroke","black").attr("stroke-width",1.5)}))}(this),S(this,"plotly_hover",n.event)):(!function(t){n.select(t.parentNode).selectAll("rect.bandrect").each((function(t){var e=A(t);w(e),e.each((function(){s.raiseToTop(this)}))})),n.select(t.parentNode).select("rect.catrect").attr("stroke","black").attr("stroke-width",2.5)}(this),M(this,"plotly_hover",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf("none"))"category"===l?e=E(r,a,this):"color"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),c=n.select(r).datum(),f=c.categoryViewModel,h=f.parcatsViewModel,p=h.model.dimensions[f.model.dimensionInd],d=h.trace,m=l.y+l.height/2;h.dimensions.length>1&&p.displayInd===h.dimensions.length-1?(i=l.left,a="left"):(i=l.left+l.width,a="right");var g=f.model.categoryLabel,v=c.parcatsViewModel.model.count,y=0;c.categoryViewModel.bands.forEach((function(t){t.color===c.color&&(y+=t.count)}));var x=f.model.count,b=0;h.pathSelection.each((function(t){t.model.color===c.color&&(b+=t.model.count)}));var _=y/v,w=y/b,T=y/x,k={countLabel:v,categoryLabel:g,probabilityLabel:_.toFixed(3)},A=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf("count")&&A.push(["Count:",k.countLabel].join(" ")),-1!==f.parcatsViewModel.hoverinfoItems.indexOf("probability")&&(A.push("P(color \u2229 "+g+"): "+k.probabilityLabel),A.push("P("+g+" | color): "+w.toFixed(3)),A.push("P(color | "+g+"): "+T.toFixed(3)));var M=A.join("<br>"),S=u.mostReadable(c.color,["black","white"]);return{trace:d,x:o*(i-e.left),y:s*(m-e.top),text:M,color:c.color,borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:g,count:v,probability:_,categorycount:x,colorcount:b,bandcolorcount:y}]}}(r,a,this):"dimension"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll("g.category").select("rect.catrect").each((function(){i.push(E(t,e,this))})),i}(r,a,this)),e&&o.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r})}}function C(t){var e=t.parcatsViewModel;if(!e.dragDimension&&(_(e.pathSelection),T(e.dimensionSelection.selectAll("g.category")),k(e.dimensionSelection.selectAll("g.category").selectAll("rect.bandrect")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(m),-1===e.hoverinfoItems.indexOf("skip"))){"color"===t.parcatsViewModel.hoveron?S(this,"plotly_unhover",n.event):M(this,"plotly_unhover",n.event)}}function P(t){"fixed"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll("g.category").select("rect.catrect").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll("rect.bandrect").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function I(t){if("fixed"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,c=a.categories,u=c[l-1],f=c[l+1];void 0!==u&&s<u.y+u.height/2&&(o.model.displayInd=u.model.displayInd,u.model.displayInd=l),void 0!==f&&s+o.height>f.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||"freeform"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragX<h.x+h.width&&(a.model.displayInd=h.model.displayInd,h.model.displayInd=e),void 0!==p&&a.model.dragX+a.width>p.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),D(t.parcatsViewModel)}}function O(t){if("fixed"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll("text").attr("font-weight","normal");var e={},r=z(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e["dimensions["+i+"].displayindex"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),f=c.map((function(t){return t.categoryLabel}));e["dimensions["+t.model.containerInd+"].categoryarray"]=[u],e["dimensions["+t.model.containerInd+"].ticktext"]=[f],e["dimensions["+t.model.containerInd+"].categoryorder"]="array"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")&&!t.dragHasMoved&&t.potentialClickBand&&("color"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,"plotly_click",n.event.sourceEvent):M(t.potentialClickBand,"plotly_click",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd)t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null;t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease("cubic-in-out").each((function(){R(t.parcatsViewModel,!0),D(t.parcatsViewModel,!0)})).each("end",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function z(t){for(var e,r=t.graphDiv._fullData,n=0;n<r.length;n++)if(t.key===r[n].uid){e=n;break}return e}function D(t,e){var r;void 0===e&&(e=!1),t.pathSelection.data((function(t){return t.paths}),p),(r=t.pathSelection,e?r.transition():r).attr("d",(function(t){return t.svgD}))}function R(t,e){function r(t){return e?t.transition():t}void 0===e&&(e=!1),t.dimensionSelection.data((function(t){return t.dimensions}),p);var i=t.dimensionSelection.selectAll("g.category").data((function(t){return t.categories}),p);r(t.dimensionSelection).attr("transform",(function(t){return l(t.x,0)})),r(i).attr("transform",(function(t){return l(0,t.y)})),i.select(".dimlabel").text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})),i.select(".catlabel").attr("text-anchor",(function(t){return d(t)?"start":"end"})).attr("x",(function(t){return d(t)?t.width+5:-5})).each((function(t){var e,r;d(t)?(e=t.width+5,r="start"):(e=-5,r="end"),n.select(this).selectAll("tspan").attr("x",e).attr("text-anchor",r)}));var a=i.selectAll("rect.bandrect").data((function(t){return t.bands}),p),o=a.enter().append("rect").attr("class","bandrect").attr("cursor","move").attr("stroke-opacity",0).attr("fill",(function(t){return t.color})).attr("fill-opacity",0);a.attr("fill",(function(t){return t.color})).attr("width",(function(t){return t.width})).attr("height",(function(t){return t.height})).attr("y",(function(t){return t.y})),k(o),a.each((function(){s.raiseToTop(this)})),a.exit().remove()}function F(t,e,r){var n,i=r[0],a=e.margin||{l:80,r:80,t:100,b:80},o=i.trace,s=o.domain,l=e.width,c=e.height,u=Math.floor(l*(s.x[1]-s.x[0])),f=Math.floor(c*(s.y[1]-s.y[0])),h=s.x[0]*l+a.l,p=e.height-s.y[1]*e.height+a.t,d=o.line.shape;n="all"===o.hoverinfo?["count","probability"]:(o.hoverinfo||"").split("+");var m={trace:o,key:o.uid,model:i,x:h,y:p,width:u,height:f,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:a,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return i.dimensions&&(j(m),N(m)),m}function B(t,e,r,n,a){var o,s,l=[],c=[];for(s=0;s<r.length-1;s++)o=i(r[s]+t[s],t[s+1]),l.push(o(a)),c.push(o(1-a));var u="M "+t[0]+","+e[0];for(u+="l"+r[0]+",0 ",s=1;s<r.length;s++)u+="C"+l[s-1]+","+e[s-1]+" "+c[s-1]+","+e[s]+" "+t[s]+","+e[s],u+="l"+r[s]+",0 ";for(u+="l0,"+n+" ",u+="l -"+r[r.length-1]+",0 ",s=r.length-2;s>=0;s--)u+="C"+c[s]+","+(e[s+1]+n)+" "+l[s]+","+(e[s]+n)+" "+(t[s]+r[s])+","+(e[s]+n),u+="l-"+r[s]+",0 ";return u+="Z"}function N(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),i=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),a=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),c=[];for(var u in r.paths)r.paths.hasOwnProperty(u)&&c.push(r.paths[u]);function f(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}c.sort((function(e,r){var n=f(e),i=f(r);return"backward"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),n<i?-1:n>i?1:0}));for(var h=new Array(c.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),m=0;m<c.length;m++){var g,v=c[m];g=p>0?d*(v.count/p):0;for(var y,x=new Array(n.length),b=0;b<v.categoryInds.length;b++){var _=v.categoryInds[b],w=i[b][_],T=a[b];x[T]=n[T][w],n[T][w]+=g;var k=t.dimensions[T].categories[w],A=k.bands.length,M=k.bands[A-1];if(void 0===M||v.rawColor!==M.rawColor){var S=void 0===M?0:M.y+M.height;k.bands.push({key:S,color:v.color,rawColor:v.rawColor,height:g,width:k.width,count:v.count,y:S,categoryViewModel:k,parcatsViewModel:t})}else{var E=k.bands[A-1];E.height+=g,E.count+=v.count}}y="hspline"===t.pathShape?B(s,x,l,g,.5):B(s,x,l,g,0),h[m]={key:v.valueInds[0],model:v,height:g,leftXs:s,topYs:x,dimWidths:l,svgD:y,parcatsViewModel:t}}t.paths=h}function j(t){var e=t.model.dimensions.map((function(t){return{displayInd:t.displayInd,dimensionInd:t.dimensionInd}}));e.sort((function(t,e){return t.displayInd-e.displayInd}));var r=[];for(var n in e){var i=e[n].dimensionInd,a=t.model.dimensions[i];r.push(U(t,a))}t.dimensions=r}function U(t,e){var r,n=t.model.dimensions.length,i=e.displayInd;r=40+(n>1?(t.width-80-16)/(n-1):0)*i;var 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n=t("./parcats");e.exports=function(t,e,r,i){var a=t._fullLayout,o=a._paper,s=a._size;n(t,o,e,{width:s.w,height:s.h,margin:{t:s.t,r:s.r,b:s.b,l:s.l}},r,i)}},{"./parcats":895}],897:[function(t,e,r){"use strict";var n=t("../../components/colorscale/attributes"),i=t("../../plots/cartesian/layout_attributes"),a=t("../../plots/font_attributes"),o=t("../../plots/domain").attributes,s=t("../../lib/extend").extendFlat,l=t("../../plot_api/plot_template").templatedArray;e.exports={domain:o({name:"parcoords",trace:!0,editType:"plot"}),labelangle:{valType:"angle",dflt:0,editType:"plot"},labelside:{valType:"enumerated",values:["top","bottom"],dflt:"top",editType:"plot"},labelfont:a({editType:"plot"}),tickfont:a({editType:"plot"}),rangefont:a({editType:"plot"}),dimensions:l("dimension",{label:{valType:"string",editType:"plot"},tickvals:s({},i.tickvals,{editType:"plot"}),ticktext:s({},i.ticktext,{editType:"plot"}),tickformat:s({},i.tickformat,{editType:"plot"}),visible:{valType:"boolean",dflt:!0,editType:"plot"},range:{valType:"info_array",items:[{valType:"number",editType:"plot"},{valType:"number",editType:"plot"}],editType:"plot"},constraintrange:{valType:"info_array",freeLength:!0,dimensions:"1-2",items:[{valType:"any",editType:"plot"},{valType:"any",editType:"plot"}],editType:"plot"},multiselect:{valType:"boolean",dflt:!0,editType:"plot"},values:{valType:"data_array",editType:"calc"},editType:"calc"}),line:s({editType:"calc"},n("line",{colorscaleDflt:"Viridis",autoColorDflt:!1,editTypeOverride:"calc"})),unselected:{line:{color:{valType:"color",dflt:"#7f7f7f",editType:"plot"},opacity:{valType:"number",min:0,max:1,dflt:"auto",editType:"plot"},editType:"plot"},editType:"plot"}}},{"../../components/colorscale/attributes":374,"../../lib/extend":505,"../../plot_api/plot_template":555,"../../plots/cartesian/layout_attributes":579,"../../plots/domain":593,"../../plots/font_attributes":594}],898:[function(t,e,r){"use strict";var n=t("./constants"),i=t("@plotly/d3"),a=t("../../lib/gup").keyFun,o=t("../../lib/gup").repeat,s=t("../../lib").sorterAsc,l=t("../../lib").strTranslate,c=n.bar.snapRatio;function u(t,e){return t*(1-c)+e*c}var f=n.bar.snapClose;function h(t,e){return t*(1-f)+e*f}function p(t,e,r,n){if(function(t,e){for(var r=0;r<e.length;r++)if(t>=e[r][0]&&t<=e[r][1])return!0;return!1}(r,n))return r;var i=t?-1:1,a=0,o=e.length-1;if(i<0){var s=a;a=o,o=s}for(var l=e[a],c=l,f=a;i*f<i*o;f+=i){var p=f+i,d=e[p];if(i*r<i*h(l,d))return u(l,c);if(i*r<i*d||p===o)return u(d,l);c=l,l=d}}function d(t){t.attr("x",-n.bar.captureWidth/2).attr("width",n.bar.captureWidth)}function m(t){t.attr("visibility","visible").style("visibility","visible").attr("fill","yellow").attr("opacity",0)}function g(t){if(!t.brush.filterSpecified)return"0,"+t.height;for(var 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k(t){t.on("mousemove",(function(t){i.event.preventDefault(),t.parent.inBrushDrag||T(this,t)})).on("mouseleave",(function(t){t.parent.inBrushDrag||y()})).call(i.behavior.drag().on("dragstart",(function(t){!function(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.unitToPaddedPx.invert(r),o=e.brush,s=_(e,r),l=s.interval,c=o.svgBrush;if(c.wasDragged=!1,c.grabbingBar="ns"===s.region,c.grabbingBar){var u=l.map(e.unitToPaddedPx);c.grabPoint=r-u[0]-n.verticalPadding,c.barLength=u[1]-u[0]}c.clickableOrdinalRange=s.clickableOrdinalRange,c.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(c.stayingIntervals=c.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),c.startExtent=s.region?l["s"===s.region?1:0]:a,e.parent.inBrushDrag=!0,c.brushStartCallback()}(this,t)})).on("drag",(function(t){w(this,t)})).on("dragend",(function(t){!function(t,e){var r=e.brush,n=r.filter,a=r.svgBrush;a._dragging||(T(t,e),w(t,e),e.brush.svgBrush.wasDragged=!1),a._dragging=!1,i.event.sourceEvent.stopPropagation();var o=a.grabbingBar;if(a.grabbingBar=!1,a.grabLocation=void 0,e.parent.inBrushDrag=!1,y(),!a.wasDragged)return a.wasDragged=void 0,a.clickableOrdinalRange?r.filterSpecified&&e.multiselect?a.extent.push(a.clickableOrdinalRange):(a.extent=[a.clickableOrdinalRange],r.filterSpecified=!0):o?(a.extent=a.stayingIntervals,0===a.extent.length&&M(r)):M(r),a.brushCallback(e),b(t.parentNode),void a.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),a.newExtent=[p(0,l,a.newExtent[0],a.stayingIntervals),p(1,l,a.newExtent[1],a.stayingIntervals)];var c=a.newExtent[1]>a.newExtent[0];a.extent=a.stayingIntervals.concat(c?[a.newExtent]:[]),a.extent.length||M(r),a.brushCallback(e),c?b(t.parentNode,s):(s(),b(t.parentNode))}else 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t.slice()}))}(e).slice();e.filter.set(r),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e,r){var i=t.selectAll("."+n.cn.axisBrush).data(o,a);i.enter().append("g").classed(n.cn.axisBrush,!0),function(t,e,r){var i=r._context.staticPlot,a=t.selectAll(".background").data(o);a.enter().append("rect").classed("background",!0).call(d).call(m).style("pointer-events",i?"none":"auto").attr("transform",l(0,n.verticalPadding)),a.call(k).attr("height",(function(t){return t.height-n.verticalPadding}));var s=t.selectAll(".highlight-shadow").data(o);s.enter().append("line").classed("highlight-shadow",!0).attr("x",-n.bar.width/2).attr("stroke-width",n.bar.width+n.bar.strokeWidth).attr("stroke",e).attr("opacity",n.bar.strokeOpacity).attr("stroke-linecap","butt"),s.attr("y1",(function(t){return t.height})).call(x);var c=t.selectAll(".highlight").data(o);c.enter().append("line").classed("highlight",!0).attr("x",-n.bar.width/2).attr("stroke-width",n.bar.width-n.bar.strokeWidth).attr("stroke",n.bar.fillColor).attr("opacity",n.bar.fillOpacity).attr("stroke-linecap","butt"),c.attr("y1",(function(t){return t.height})).call(x)}(i,e,r)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(A)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},{"../../lib":515,"../../lib/gup":512,"./constants":902,"@plotly/d3":58}],899:[function(t,e,r){"use 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t=this.toDataURL("image/png");e.append("svg:image").attr({xmlns:o.svg,"xlink:href":t,preserveAspectRatio:"none",x:0,y:0,width:this.style.width,height:this.style.height})})),window.setTimeout((function(){n.selectAll("#filterBarPattern").attr("id","filterBarPattern")}),60)}},{"../../constants/xmlns_namespaces":492,"../../plots/get_data":602,"./plot":909,"@plotly/d3":58}],901:[function(t,e,r){"use strict";var n=t("../../lib").isArrayOrTypedArray,i=t("../../components/colorscale"),a=t("../../lib/gup").wrap;e.exports=function(t,e){var r,o;return i.hasColorscale(e,"line")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:"line",cLetter:"c"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),a({lineColor:r,cscale:o})}},{"../../components/colorscale":379,"../../lib":515,"../../lib/gup":512}],902:[function(t,e,r){"use 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n=t("../../lib"),i=t("../../components/colorscale/helpers").hasColorscale,a=t("../../components/colorscale/defaults"),o=t("../../plots/domain").defaults,s=t("../../plots/array_container_defaults"),l=t("../../plots/cartesian/axes"),c=t("./attributes"),u=t("./axisbrush"),f=t("./constants").maxDimensionCount,h=t("./merge_length");function p(t,e,r,i){function a(r,i){return n.coerce(t,e,c.dimensions,r,i)}var o=a("values"),s=a("visible");if(o&&o.length||(s=e.visible=!1),s){a("label"),a("tickvals"),a("ticktext"),a("tickformat");var f=a("range");e._ax={_id:"y",type:"linear",showexponent:"all",exponentformat:"B",range:f},l.setConvert(e._ax,i.layout),a("multiselect");var h=a("constraintrange");h&&(e.constraintrange=u.cleanRanges(h,e))}}e.exports=function(t,e,r,l){function u(r,i){return n.coerce(t,e,c,r,i)}var d=t.dimensions;Array.isArray(d)&&d.length>f&&(n.log("parcoords traces support up to "+f+" dimensions at the moment"),d.splice(f));var 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left","top center","top right","middle center","bottom left","bottom center","bottom right"],editType:"plot"},editType:"plot"},domain:i({name:"pie",trace:!0,editType:"calc"}),hole:{valType:"number",min:0,max:1,dflt:0,editType:"calc"},sort:{valType:"boolean",dflt:!0,editType:"calc"},direction:{valType:"enumerated",values:["clockwise","counterclockwise"],dflt:"counterclockwise",editType:"calc"},rotation:{valType:"angle",dflt:0,editType:"calc"},pull:{valType:"number",min:0,max:1,dflt:0,arrayOk:!0,editType:"calc"},_deprecated:{title:{valType:"string",dflt:"",editType:"calc"},titlefont:c({},u,{}),titleposition:{valType:"enumerated",values:["top left","top center","top right","middle center","bottom left","bottom center","bottom right"],editType:"calc"}}}},{"../../components/color/attributes":366,"../../lib/extend":505,"../../plots/attributes":562,"../../plots/domain":593,"../../plots/font_attributes":594,"../../plots/template_attributes":642}],911:[function(t,e,r){"use strict";var n=t("../../plots/plots");r.name="pie",r.plot=function(t,e,i,a){n.plotBasePlot(r.name,t,e,i,a)},r.clean=function(t,e,i,a){n.cleanBasePlot(r.name,t,e,i,a)}},{"../../plots/plots":628}],912:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("tinycolor2"),a=t("../../components/color"),o={};function s(t){return function(e,r){return!!e&&(!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e))}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r<t.length;r++)a.push(i(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)a.push(i(t[r]).darken(20).toHexString());e[n]=a}return a}e.exports={calc:function(t,e){var r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],c=e.labels,u=e.marker.colors||[],f=e.values,h=e._length,p=e._hasValues&&h;if(e.dlabel)for(c=new Array(h),r=0;r<h;r++)c[r]=String(e.label0+r*e.dlabel);var d={},m=s(o["_"+e.type+"colormap"]),g=0,v=!1;for(r=0;r<h;r++){var y,x,b;if(p){if(y=f[r],!n(y))continue;y=+y}else y=1;void 0!==(x=c[r])&&""!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=a.length,(b=-1!==l.indexOf(x))||(g+=y),a.push({v:y,label:x,color:m(u[r],x),i:r,pts:[r],hidden:b})):(v=!0,(i=a[_]).v+=y,i.pts.push(r),i.hidden||(g+=y),!1===i.color&&u[r]&&(i.color=m(u[r],x)))}return a=a.filter((function(t){return t.v>=0})),("funnelarea"===e.type?v:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r="pie");var n=t._fullLayout,i=t.calcdata,a=n[r+"colorway"],s=n["_"+r+"colormap"];n["extend"+r+"colors"]&&(a=l(a,o));for(var c=0,u=0;u<i.length;u++){var f=i[u];if(f[0].trace.type===r)for(var h=0;h<f.length;h++){var p=f[h];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[c%a.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},{"../../components/color":367,"fast-isnumeric":190,tinycolor2:313}],913:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../lib"),a=t("./attributes"),o=t("../../plots/domain").defaults,s=t("../bar/defaults").handleText;function l(t,e){var r=Array.isArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var c=e[l];if(n(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return i.coerce(t,e,a,r,n)}var u=l(c("labels"),c("values")),f=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c("label0"),c("dlabel")),f){e._length=f,c("marker.line.width")&&c("marker.line.color"),c("marker.colors"),c("scalegroup");var h,p=c("text"),d=c("texttemplate");if(d||(h=c("textinfo",Array.isArray(p)?"text+percent":"percent")),c("hovertext"),c("hovertemplate"),d||h&&"none"!==h){var m=c("textposition");s(t,e,n,c,m,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(m)||"auto"===m||"outside"===m)&&c("automargin"),("inside"===m||"auto"===m||Array.isArray(m))&&c("insidetextorientation")}o(e,n,c);var g=c("hole");if(c("title.text")){var v=c("title.position",g?"middle center":"top center");g||"middle center"!==v||(e.title.position="top center"),i.coerceFont(c,"title.font",n.font)}c("sort"),c("direction"),c("rotation"),c("pull")}else e.visible=!1}}},{"../../lib":515,"../../plots/domain":593,"../bar/defaults":661,"./attributes":910,"fast-isnumeric":190}],914:[function(t,e,r){"use strict";var n=t("../../components/fx/helpers").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),"funnelarea"===e.type&&(delete r.v,delete r.i),r}},{"../../components/fx/helpers":403}],915:[function(t,e,r){"use strict";var n=t("../../lib");function i(t){return-1!==t.indexOf("e")?t.replace(/[.]?0+e/,"e"):-1!==t.indexOf(".")?t.replace(/[.]?0+$/,""):t}r.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+"%"},r.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||""===n)return n}},r.castOption=function(t,e){return Array.isArray(t)?r.getFirstFilled(t,e):t||void 0},r.getRotationAngle=function(t){return("auto"===t?0:t)*Math.PI/180}},{"../../lib":515}],916:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults").supplyDefaults,supplyLayoutDefaults:t("./layout_defaults"),layoutAttributes:t("./layout_attributes"),calc:t("./calc").calc,crossTraceCalc:t("./calc").crossTraceCalc,plot:t("./plot").plot,style:t("./style"),styleOne:t("./style_one"),moduleType:"trace",name:"pie",basePlotModule:t("./base_plot"),categories:["pie-like","pie","showLegend"],meta:{}}},{"./attributes":910,"./base_plot":911,"./calc":912,"./defaults":913,"./layout_attributes":917,"./layout_defaults":918,"./plot":919,"./style":920,"./style_one":921}],917:[function(t,e,r){"use strict";e.exports={hiddenlabels:{valType:"data_array",editType:"calc"},piecolorway:{valType:"colorlist",editType:"calc"},extendpiecolors:{valType:"boolean",dflt:!0,editType:"calc"}}},{}],918:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./layout_attributes");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r("hiddenlabels"),r("piecolorway",e.colorway),r("extendpiecolors")}},{"../../lib":515,"./layout_attributes":917}],919:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../plots/plots"),a=t("../../components/fx"),o=t("../../components/color"),s=t("../../components/drawing"),l=t("../../lib"),c=l.strScale,u=l.strTranslate,f=t("../../lib/svg_text_utils"),h=t("../bar/uniform_text"),p=h.recordMinTextSize,d=h.clearMinTextSize,m=t("../bar/constants").TEXTPAD,g=t("./helpers"),v=t("./event_data"),y=t("../../lib").isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,c=i.trace,u="funnelarea"===c.type;"_hasHoverLabel"in c||(c._hasHoverLabel=!1),"_hasHoverEvent"in c||(c._hasHoverEvent=!1),t.on("mouseover",(function(t){var r=e._fullLayout,f=e._fullData[c.index];if(!e._dragging&&!1!==r.hovermode){var h=f.hoverinfo;if(Array.isArray(h)&&(h=a.castHoverinfo({hoverinfo:[g.castOption(h,t.pts)],_module:c._module},r,0)),"all"===h&&(h="label+text+value+percent+name"),f.hovertemplate||"none"!==h&&"skip"!==h&&h){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),m=s+t.pxmid[1]*(1-p),y=r.separators,x=[];if(h&&-1!==h.indexOf("label")&&x.push(t.label),t.text=g.castOption(f.hovertext||f.text,t.pts),h&&-1!==h.indexOf("text")){var b=t.text;l.isValidTextValue(b)&&x.push(b)}t.value=t.v,t.valueLabel=g.formatPieValue(t.v,y),h&&-1!==h.indexOf("value")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,y),h&&-1!==h.indexOf("percent")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:c,x0:d-p*i.r,x1:d+p*i.r,y:m,_x0:u?o+t.TL[0]:d-p*i.r,_x1:u?o+t.TR[0]:d+p*i.r,_y0:u?s+t.TL[1]:m-p*i.r,_y1:u?s+t.BL[1]:m+p*i.r,text:x.join("<br>"),name:f.hovertemplate||-1!==h.indexOf("name")?f.name:void 0,idealAlign:t.pxmid[0]<0?"left":"right",color:g.castOption(_.bgcolor,t.pts)||t.color,borderColor:g.castOption(_.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(_.namelength,t.pts),textAlign:g.castOption(_.align,t.pts),hovertemplate:g.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[v(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],c._hasHoverLabel=!0}c._hasHoverEvent=!0,e.emit("plotly_hover",{points:[v(t,f)],event:n.event})}})),t.on("mouseout",(function(t){var r=e._fullLayout,i=e._fullData[c.index],o=n.select(this).datum();c._hasHoverEvent&&(t.originalEvent=n.event,e.emit("plotly_unhover",{points:[v(o,i)],event:n.event}),c._hasHoverEvent=!1),c._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),c._hasHoverLabel=!1)})),t.on("click",(function(t){var r=e._fullLayout,i=e._fullData[c.index];e._dragging||!1===r.hovermode||(e._hoverdata=[v(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append("text").attr("data-notex",1).text(a).call(s.font,n.title.font).call(f.convertToTspans,e),c=s.bBox(o.node(),!0);r.titleBox={width:c.width,height:c.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,c=e.midangle,u=r.trace.insidetextorientation,f="horizontal"===u,h="tangential"===u,p="radial"===u,d="auto"===u,m=[];if(!d){var g,v=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),c=s<l?s:l;(a="tan"===i?k(t,n,o,c,0):T(t,n,o,c,Math.PI/2)).textPosAngle=r,m.push(a)}};if(f||h){for(g=4;g>=-4;g-=2)v(Math.PI*g,"tan");for(g=4;g>=-4;g-=2)v(Math.PI*(g+1),"tan")}if(f||p){for(g=4;g>=-4;g-=2)v(Math.PI*(g+1.5),"rad");for(g=4;g>=-4;g-=2)v(Math.PI*(g+.5),"rad")}}if(s||d||f){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/y,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;m.push(a)}(d||p)&&((a=T(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a)),(d||h)&&((a=k(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a));for(var x=0,b=0,_=0;_<m.length;_++){var w=m[_].scale;if(b<w&&(b=w,x=_),!d&&b>=1)break}return m[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*m);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*m);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=I(a),-1!==a.title.position.indexOf("top")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf("bottom")&&(o.y+=(1+i)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),f=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf("left")?(f+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf("center")?f*=2:-1!==a.title.position.indexOf("right")&&(f+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=f/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function I(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function O(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&"middle center"!==a.title.position&&(l-=P(i,e));var c=s/2,u=l/2;"funnelarea"!==a.type||a.scalegroup||(u/=a.aspectratio),i.r=Math.min(c,u)/(1+I(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf("bottom")&&(i.cy-=P(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var l;if("pie"===i.type)l=r.r*r.r;else if("funnelarea"===i.type){var c,u;i.aspectratio>1?(c=r.r,u=c/i.aspectratio):(u=r.r,c=u*i.aspectratio),c*=(1+i.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var f=o*r.vTotal;"funnelarea"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function z(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function D(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&"none"!==o){var s,c=o.split("+"),u=function(t){return-1!==c.indexOf(t)},f=u("label"),h=u("text"),p=u("value"),d=u("percent"),m=n.separators;if(s=f?[e.label]:[],h){var v=g.getFirstFilled(i.text,e.pts);y(v)&&s.push(v)}p&&s.push(g.formatPieValue(e.v,m)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,m)),e.text=s.join("<br>")}if(a){var x=l.castOption(i,e.i,"texttemplate");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,"customdata")}}(e),_=g.getFirstFilled(i.text,e.pts);(y(_)||""===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=""}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._context.staticPlot,a=t._fullLayout,h=a._size;d("pie",a),_(e,t),O(e,h);var m=l.makeTraceGroups(a._pielayer,e,"trace").each((function(e){var d=n.select(this),m=e[0],v=m.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,c="px0",u="px1";if("counterclockwise"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,c="px1",u="px0"}for(n=z(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=z(a,s),r.midangle=s,s+=l*r.v/2,n=z(a,s),r.stopangle=s,r[u]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),d.attr("stroke-linejoin","round"),d.each((function(){var y=n.select(this).selectAll("g.slice").data(e);y.enter().append("g").classed("slice",!0),y.exit().remove();var _=[[[],[]],[[],[]]],T=!1;y.each((function(i,o){if(i.hidden)n.select(this).selectAll("path,g").remove();else{i.pointNumber=i.i,i.curveNumber=v.index,_[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var c=m.cx,u=m.cy,h=n.select(this),d=h.selectAll("path.surface").data([i]);if(d.enter().append("path").classed("surface",!0).style({"pointer-events":r?"none":"all"}),h.call(x,t,e),v.pull){var y=+g.castOption(v.pull,i.pts)||0;y>0&&(c+=y*i.pxmid[0],u+=y*i.pxmid[1])}i.cxFinal=c,i.cyFinal=u;var k=v.hole;if(i.v===m.vTotal){var A="M"+(c+i.px0[0])+","+(u+i.px0[1])+P(i.px0,i.pxmid,!0,1)+P(i.pxmid,i.px0,!0,1)+"Z";k?d.attr("d","M"+(c+k*i.px0[0])+","+(u+k*i.px0[1])+P(i.px0,i.pxmid,!1,k)+P(i.pxmid,i.px0,!1,k)+"Z"+A):d.attr("d",A)}else{var M=P(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr("d","M"+(c+k*i.px1[0])+","+(u+k*i.px1[1])+P(i.px1,i.px0,!1,k)+"l"+S*i.px0[0]+","+S*i.px0[1]+M+"Z")}else d.attr("d","M"+c+","+u+"l"+i.px0[0]+","+i.px0[1]+M+"Z")}D(t,i,m);var E=g.castOption(v.textposition,i.pts),C=h.selectAll("g.slicetext").data(i.text&&"none"!==E?[0]:[]);C.enter().append("g").classed("slicetext",!0),C.exit().remove(),C.each((function(){var r=l.ensureSingle(n.select(this),"text","",(function(t){t.attr("data-notex",1)})),h=l.ensureUniformFontSize(t,"outside"===E?function(t,e,r){var n=g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,i=g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:i,size:a}}(v,i,a.font):b(v,i,a.font));r.text(i.text).attr({class:"slicetext",transform:"","text-anchor":"middle"}).call(s.font,h).call(f.convertToTspans,t);var d,y=s.bBox(r.node());if("outside"===E)d=L(y,i);else if(d=w(y,i,m),"auto"===E&&d.scale<1){var x=l.ensureUniformFontSize(t,v.outsidetextfont);r.call(s.font,x),d=L(y=s.bBox(r.node()),i)}var _=d.textPosAngle,k=void 0===_?i.pxmid:z(m.r,_);if(d.targetX=c+k[0]*d.rCenter+(d.x||0),d.targetY=u+k[1]*d.rCenter+(d.y||0),R(d,y),d.outside){var A=d.targetY;i.yLabelMin=A-y.height/2,i.yLabelMid=A,i.yLabelMax=A+y.height/2,i.labelExtraX=0,i.labelExtraY=0,T=!0}d.fontSize=h.size,p(v.type,d,a),e[o].transform=d,l.setTransormAndDisplay(r,d)}))}function P(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return"a"+n*m.r+","+n*m.r+" 0 "+i.largeArc+(r?" 1 ":" 0 ")+a+","+o}}));var k=n.select(this).selectAll("g.titletext").data(v.title.text?[0]:[]);if(k.enter().append("g").classed("titletext",!0),k.exit().remove(),k.each((function(){var e,r=l.ensureSingle(n.select(this),"text","",(function(t){t.attr("data-notex",1)})),i=v.title.text;v._meta&&(i=l.templateString(i,v._meta)),r.text(i).attr({class:"titletext",transform:"","text-anchor":"middle"}).call(s.font,v.title.font).call(f.convertToTspans,t),e="middle 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i,c,u,h,p=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),d=n?t.yLabelMin:t.yLabelMax,m=n?t.yLabelMax:t.yLabelMin,v=t.cyFinal+o(t.px0[1],t.px1[1]),y=p-d;if(y*l>0&&(t.labelExtraY=y),Array.isArray(e.pull))for(c=0;c<f.length;c++)(u=f[c])===t||(g.castOption(e.pull,t.pts)||0)>=(g.castOption(e.pull,u.pts)||0)||((t.pxmid[1]-u.pxmid[1])*l>0?(y=u.cyFinal+o(u.px0[1],u.px1[1])-d-t.labelExtraY)*l>0&&(t.labelExtraY+=y):(m+t.labelExtraY-v)*l>0&&(i=3*s*Math.abs(c-f.indexOf(t)),(h=u.cxFinal+a(u.px0[0],u.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=h)))}for(n=0;n<2;n++)for(i=n?m:v,o=n?Math.max:Math.min,l=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(i),u=t[1-n][r],f=u.concat(c),p=[],h=0;h<c.length;h++)void 0!==c[h].yLabelMid&&p.push(c[h]);for(d=!1,h=0;n&&h<u.length;h++)if(void 0!==u[h].yLabelMid){d=u[h];break}for(h=0;h<p.length;h++){var x=h&&p[h-1];d&&!h&&(x=d),y(p[h],x)}}}(_,v),function(t,e){t.each((function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var i=r.select("g.slicetext text");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,l.setTransormAndDisplay(i,t.transform);var a=t.cxFinal+t.pxmid[0],s="M"+a+","+(t.cyFinal+t.pxmid[1]),c=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var u=t.labelExtraX*t.pxmid[1]/t.pxmid[0],f=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(u)>Math.abs(f)?s+="l"+f*t.pxmid[0]/t.pxmid[1]+","+f+"H"+(a+t.labelExtraX+c):s+="l"+t.labelExtraX+","+u+"v"+(f-u)+"h"+c}else s+="V"+(t.yLabelMid+t.labelExtraY)+"h"+c;l.ensureSingle(r,"path","textline").call(o.stroke,e.outsidetextfont.color).attr({"stroke-width":Math.min(2,e.outsidetextfont.size/8),d:s,fill:"none"})}else r.select("path.textline").remove()}))}(y,v),T&&v.automargin){var A=s.bBox(d.node()),M=v.domain,S=h.w*(M.x[1]-M.x[0]),E=h.h*(M.y[1]-M.y[0]),P=(.5*S-m.r)/h.w,I=(.5*E-m.r)/h.h;i.autoMargin(t,"pie."+v.uid+".automargin",{xl:M.x[0]-P,xr:M.x[1]+P,yb:M.y[0]-I,yt:M.y[1]+I,l:Math.max(m.cx-m.r-A.left,0),r:Math.max(A.right-(m.cx+m.r),0),b:Math.max(A.bottom-(m.cy+m.r),0),t:Math.max(m.cy-m.r-A.top,0),pad:5})}}))}));setTimeout((function(){m.selectAll("tspan").each((function(){var t=n.select(this);t.attr("dy")&&t.attr("dy",t.attr("dy"))}))}),0)},formatSliceLabel:D,transformInsideText:w,determineInsideTextFont:b,positionTitleOutside:C,prerenderTitles:_,layoutAreas:O,attachFxHandlers:x,computeTransform:R}},{"../../components/color":367,"../../components/drawing":389,"../../components/fx":407,"../../lib":515,"../../lib/svg_text_utils":541,"../../plots/plots":628,"../bar/constants":659,"../bar/uniform_text":673,"./event_data":914,"./helpers":915,"@plotly/d3":58}],920:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("./style_one"),a=t("../bar/uniform_text").resizeText;e.exports=function(t){var e=t._fullLayout._pielayer.selectAll(".trace");a(t,e,"pie"),e.each((function(t){var e=t[0].trace,r=n.select(this);r.style({opacity:e.opacity}),r.selectAll("path.surface").each((function(t){n.select(this).call(i,t,e)}))}))}},{"../bar/uniform_text":673,"./style_one":921,"@plotly/d3":58}],921:[function(t,e,r){"use strict";var n=t("../../components/color"),i=t("./helpers").castOption;e.exports=function(t,e,r){var a=r.marker.line,o=i(a.color,e.pts)||n.defaultLine,s=i(a.width,e.pts)||0;t.style("stroke-width",s).call(n.fill,e.color).call(n.stroke,o)}},{"../../components/color":367,"./helpers":915}],922:[function(t,e,r){"use strict";var n=t("../scatter/attributes");e.exports={x:n.x,y:n.y,xy:{valType:"data_array",editType:"calc"},indices:{valType:"data_array",editType:"calc"},xbounds:{valType:"data_array",editType:"calc"},ybounds:{valType:"data_array",editType:"calc"},text:n.text,marker:{color:{valType:"color",arrayOk:!1,editType:"calc"},opacity:{valType:"number",min:0,max:1,dflt:1,arrayOk:!1,editType:"calc"},blend:{valType:"boolean",dflt:null,editType:"calc"},sizemin:{valType:"number",min:.1,max:2,dflt:.5,editType:"calc"},sizemax:{valType:"number",min:.1,dflt:20,editType:"calc"},border:{color:{valType:"color",arrayOk:!1,editType:"calc"},arearatio:{valType:"number",min:0,max:1,dflt:0,editType:"calc"},editType:"calc"},editType:"calc"},transforms:void 0}},{"../scatter/attributes":936}],923:[function(t,e,r){"use strict";var n=t("../../../stackgl_modules").gl_pointcloud2d,i=t("../../lib/str2rgbarray"),a=t("../../plots/cartesian/autorange").findExtremes,o=t("../scatter/get_trace_color");function s(t,e){this.scene=t,this.uid=e,this.type="pointcloud",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color="rgb(0, 0, 0)",this.name="",this.hoverinfo="all",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var l=s.prototype;l.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},l.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=o(t,{})},l.updateFast=function(t){var e,r,n,o,s,l,c=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,f=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(f){if(n=f,e=f.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;l<e;l++)o=n[2*l],s=n[2*l+1],o<d[0]&&(d[0]=o),o>d[2]&&(d[2]=o),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;l<e;l++)r[l]=l}else for(e=c.length,n=new Float32Array(2*e),r=new Int32Array(e),l=0;l<e;l++)o=c[l],s=u[l],r[l]=l,n[2*l]=o,n[2*l+1]=s,o<d[0]&&(d[0]=o),o>d[2]&&(d[2]=o),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);this.idToIndex=r,this.pointcloudOptions.idToIndex=r,this.pointcloudOptions.positions=n;var m=i(t.marker.color),g=i(t.marker.border.color),v=t.opacity*t.marker.opacity;m[3]*=v,this.pointcloudOptions.color=m;var y=t.marker.blend;if(null===y){y=c.length<100||u.length<100}this.pointcloudOptions.blend=y,g[3]*=v,this.pointcloudOptions.borderColor=g;var x=t.marker.sizemin,b=Math.max(t.marker.sizemax,t.marker.sizemin);this.pointcloudOptions.sizeMin=x,this.pointcloudOptions.sizeMax=b,this.pointcloudOptions.areaRatio=t.marker.border.arearatio,this.pointcloud.update(this.pointcloudOptions);var _=this.scene.xaxis,w=this.scene.yaxis,T=b/2||.5;t._extremes[_._id]=a(_,[d[0],d[2]],{ppad:T}),t._extremes[w._id]=a(w,[d[1],d[3]],{ppad:T})},l.dispose=function(){this.pointcloud.dispose()},e.exports=function(t,e){var r=new s(t,e.uid);return r.update(e),r}},{"../../../stackgl_modules":1133,"../../lib/str2rgbarray":540,"../../plots/cartesian/autorange":565,"../scatter/get_trace_color":946}],924:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./attributes");e.exports=function(t,e,r){function a(r,a){return n.coerce(t,e,i,r,a)}a("x"),a("y"),a("xbounds"),a("ybounds"),t.xy&&t.xy instanceof Float32Array&&(e.xy=t.xy),t.indices&&t.indices instanceof Int32Array&&(e.indices=t.indices),a("text"),a("marker.color",r),a("marker.opacity"),a("marker.blend"),a("marker.sizemin"),a("marker.sizemax"),a("marker.border.color",r),a("marker.border.arearatio"),e._length=null}},{"../../lib":515,"./attributes":922}],925:[function(t,e,r){"use strict";["*pointcloud* trace is deprecated!","Please consider switching to the *scattergl* trace type."].join(" ");e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),calc:t("../scatter3d/calc"),plot:t("./convert"),moduleType:"trace",name:"pointcloud",basePlotModule:t("../../plots/gl2d"),categories:["gl","gl2d","showLegend"],meta:{}}},{"../../plots/gl2d":605,"../scatter3d/calc":965,"./attributes":922,"./convert":923,"./defaults":924}],926:[function(t,e,r){"use strict";var n=t("../../plots/font_attributes"),i=t("../../plots/attributes"),a=t("../../components/color/attributes"),o=t("../../components/fx/attributes"),s=t("../../plots/domain").attributes,l=t("../../plots/template_attributes").hovertemplateAttrs,c=t("../../components/colorscale/attributes"),u=t("../../plot_api/plot_template").templatedArray,f=t("../../plots/cartesian/axis_format_attributes").descriptionOnlyNumbers,h=t("../../lib/extend").extendFlat,p=t("../../plot_api/edit_types").overrideAll;(e.exports=p({hoverinfo:h({},i.hoverinfo,{flags:[],arrayOk:!1}),hoverlabel:o.hoverlabel,domain:s({name:"sankey",trace:!0}),orientation:{valType:"enumerated",values:["v","h"],dflt:"h"},valueformat:{valType:"string",dflt:".3s",description:f("value")},valuesuffix:{valType:"string",dflt:""},arrangement:{valType:"enumerated",values:["snap","perpendicular","freeform","fixed"],dflt:"snap"},textfont:n({}),customdata:void 0,node:{label:{valType:"data_array",dflt:[]},groups:{valType:"info_array",impliedEdits:{x:[],y:[]},dimensions:2,freeLength:!0,dflt:[],items:{valType:"number",editType:"calc"}},x:{valType:"data_array",dflt:[]},y:{valType:"data_array",dflt:[]},color:{valType:"color",arrayOk:!0},customdata:{valType:"data_array",editType:"calc"},line:{color:{valType:"color",dflt:a.defaultLine,arrayOk:!0},width:{valType:"number",min:0,dflt:.5,arrayOk:!0}},pad:{valType:"number",arrayOk:!1,min:0,dflt:20},thickness:{valType:"number",arrayOk:!1,min:1,dflt:20},hoverinfo:{valType:"enumerated",values:["all","none","skip"],dflt:"all"},hoverlabel:o.hoverlabel,hovertemplate:l({},{keys:["value","label"]})},link:{arrowlen:{valType:"number",min:0,dflt:0},label:{valType:"data_array",dflt:[]},color:{valType:"color",arrayOk:!0},customdata:{valType:"data_array",editType:"calc"},line:{color:{valType:"color",dflt:a.defaultLine,arrayOk:!0},width:{valType:"number",min:0,dflt:0,arrayOk:!0}},source:{valType:"data_array",dflt:[]},target:{valType:"data_array",dflt:[]},value:{valType:"data_array",dflt:[]},hoverinfo:{valType:"enumerated",values:["all","none","skip"],dflt:"all"},hoverlabel:o.hoverlabel,hovertemplate:l({},{keys:["value","label"]}),colorscales:u("concentrationscales",{editType:"calc",label:{valType:"string",editType:"calc",dflt:""},cmax:{valType:"number",editType:"calc",dflt:1},cmin:{valType:"number",editType:"calc",dflt:0},colorscale:h(c().colorscale,{dflt:[[0,"white"],[1,"black"]]})})}},"calc","nested")).transforms=void 0},{"../../components/color/attributes":366,"../../components/colorscale/attributes":374,"../../components/fx/attributes":398,"../../lib/extend":505,"../../plot_api/edit_types":548,"../../plot_api/plot_template":555,"../../plots/attributes":562,"../../plots/cartesian/axis_format_attributes":569,"../../plots/domain":593,"../../plots/font_attributes":594,"../../plots/template_attributes":642}],927:[function(t,e,r){"use strict";var n=t("../../plot_api/edit_types").overrideAll,i=t("../../plots/get_data").getModuleCalcData,a=t("./plot"),o=t("../../components/fx/layout_attributes"),s=t("../../lib/setcursor"),l=t("../../components/dragelement"),c=t("../../components/selections").prepSelect,u=t("../../lib"),f=t("../../registry");function h(t,e){var r=t._fullData[e],n=t._fullLayout,i=n.dragmode,a="pan"===n.dragmode?"move":"crosshair",o=r._bgRect;if(o&&"pan"!==i&&"zoom"!==i){s(o,a);var h={_id:"x",c2p:u.identity,_offset:r._sankey.translateX,_length:r._sankey.width},p={_id:"y",c2p:u.identity,_offset:r._sankey.translateY,_length:r._sankey.height},d={gd:t,element:o.node(),plotinfo:{id:e,xaxis:h,yaxis:p,fillRangeItems:u.noop},subplot:e,xaxes:[h],yaxes:[p],doneFnCompleted:function(r){var n,i=t._fullData[e],a=i.node.groups.slice(),o=[];function s(t){for(var e=i._sankey.graph.nodes,r=0;r<e.length;r++)if(e[r].pointNumber===t)return e[r]}for(var l=0;l<r.length;l++){var c=s(r[l].pointNumber);if(c)if(c.group){for(var u=0;u<c.childrenNodes.length;u++)o.push(c.childrenNodes[u].pointNumber);a[c.pointNumber-i.node._count]=!1}else o.push(c.pointNumber)}n=a.filter(Boolean).concat([o]),f.call("_guiRestyle",t,{"node.groups":[n]},e)},prepFn:function(t,e,r){c(t,e,r,d,i)}};l.init(d)}}r.name="sankey",r.baseLayoutAttrOverrides=n({hoverlabel:o.hoverlabel},"plot","nested"),r.plot=function(t){var e=i(t.calcdata,"sankey")[0];a(t,e),r.updateFx(t)},r.clean=function(t,e,r,n){var i=n._has&&n._has("sankey"),a=e._has&&e._has("sankey");i&&!a&&(n._paperdiv.selectAll(".sankey").remove(),n._paperdiv.selectAll(".bgsankey").remove())},r.updateFx=function(t){for(var e=0;e<t._fullData.length;e++)h(t,e)}},{"../../components/dragelement":386,"../../components/fx/layout_attributes":408,"../../components/selections":455,"../../lib":515,"../../lib/setcursor":536,"../../plot_api/edit_types":548,"../../plots/get_data":602,"../../registry":647,"./plot":932}],928:[function(t,e,r){"use strict";var n=t("strongly-connected-components"),i=t("../../lib"),a=t("../../lib/gup").wrap,o=i.isArrayOrTypedArray,s=i.isIndex,l=t("../../components/colorscale");function c(t){var e,r=t.node,a=t.link,c=[],u=o(a.color),f=o(a.customdata),h={},p={},d=a.colorscales.length;for(e=0;e<d;e++){var m=a.colorscales[e],g=l.extractScale(m,{cLetter:"c"}),v=l.makeColorScaleFunc(g);p[m.label]=v}var y=0;for(e=0;e<a.value.length;e++)a.source[e]>y&&(y=a.source[e]),a.target[e]>y&&(y=a.target[e]);var x,b=y+1;t.node._count=b;var _=t.node.groups,w={};for(e=0;e<_.length;e++){var T=_[e];for(x=0;x<T.length;x++){var k=T[x],A=b+e;w.hasOwnProperty(k)?i.warn("Node "+k+" is already part of a group."):w[k]=A}}var M={source:[],target:[]};for(e=0;e<a.value.length;e++){var S=a.value[e],E=a.source[e],L=a.target[e];if(S>0&&s(E,b)&&s(L,b)&&(!w.hasOwnProperty(E)||!w.hasOwnProperty(L)||w[E]!==w[L])){w.hasOwnProperty(L)&&(L=w[L]),w.hasOwnProperty(E)&&(E=w[E]),L=+L,h[E=+E]=h[L]=!0;var C="";a.label&&a.label[e]&&(C=a.label[e]);var P=null;C&&p.hasOwnProperty(C)&&(P=p[C]),c.push({pointNumber:e,label:C,color:u?a.color[e]:a.color,customdata:f?a.customdata[e]:a.customdata,concentrationscale:P,source:E,target:L,value:+S}),M.source.push(E),M.target.push(L)}}var I=b+_.length,O=o(r.color),z=o(r.customdata),D=[];for(e=0;e<I;e++)if(h[e]){var R=r.label[e];D.push({group:e>b-1,childrenNodes:[],pointNumber:e,label:R,color:O?r.color[e]:r.color,customdata:z?r.customdata[e]:r.customdata})}var F=!1;return function(t,e,r){for(var a=i.init2dArray(t,0),o=0;o<Math.min(e.length,r.length);o++)if(i.isIndex(e[o],t)&&i.isIndex(r[o],t)){if(e[o]===r[o])return!0;a[e[o]].push(r[o])}return n(a).components.some((function(t){return t.length>1}))}(I,M.source,M.target)&&(F=!0),{circular:F,links:c,nodes:D,groups:_,groupLookup:w}}e.exports=function(t,e){var r=c(e);return a({circular:r.circular,_nodes:r.nodes,_links:r.links,_groups:r.groups,_groupLookup:r.groupLookup})}},{"../../components/colorscale":379,"../../lib":515,"../../lib/gup":512,"strongly-connected-components":307}],929:[function(t,e,r){"use strict";e.exports={nodeTextOffsetHorizontal:4,nodeTextOffsetVertical:3,nodePadAcross:10,sankeyIterations:50,forceIterations:5,forceTicksPerFrame:10,duration:500,ease:"linear",cn:{sankey:"sankey",sankeyLinks:"sankey-links",sankeyLink:"sankey-link",sankeyNodeSet:"sankey-node-set",sankeyNode:"sankey-node",nodeRect:"node-rect",nodeLabel:"node-label"}}},{}],930:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./attributes"),a=t("../../components/color"),o=t("tinycolor2"),s=t("../../plots/domain").defaults,l=t("../../components/fx/hoverlabel_defaults"),c=t("../../plot_api/plot_template"),u=t("../../plots/array_container_defaults");function f(t,e){function r(r,a){return n.coerce(t,e,i.link.colorscales,r,a)}r("label"),r("cmin"),r("cmax"),r("colorscale")}e.exports=function(t,e,r,h){function p(r,a){return n.coerce(t,e,i,r,a)}var d=n.extendDeep(h.hoverlabel,t.hoverlabel),m=t.node,g=c.newContainer(e,"node");function v(t,e){return n.coerce(m,g,i.node,t,e)}v("label"),v("groups"),v("x"),v("y"),v("pad"),v("thickness"),v("line.color"),v("line.width"),v("hoverinfo",t.hoverinfo),l(m,g,v,d),v("hovertemplate");var y=h.colorway;v("color",g.label.map((function(t,e){return a.addOpacity(function(t){return y[t%y.length]}(e),.8)}))),v("customdata");var x=t.link||{},b=c.newContainer(e,"link");function _(t,e){return n.coerce(x,b,i.link,t,e)}_("label"),_("arrowlen"),_("source"),_("target"),_("value"),_("line.color"),_("line.width"),_("hoverinfo",t.hoverinfo),l(x,b,_,d),_("hovertemplate");var w,T=o(h.paper_bgcolor).getLuminance()<.333?"rgba(255, 255, 255, 0.6)":"rgba(0, 0, 0, 0.2)";_("color",n.repeat(T,b.value.length)),_("customdata"),u(x,b,{name:"colorscales",handleItemDefaults:f}),s(e,h,p),p("orientation"),p("valueformat"),p("valuesuffix"),g.x.length&&g.y.length&&(w="freeform"),p("arrangement",w),n.coerceFont(p,"textfont",n.extendFlat({},h.font)),e._length=null}},{"../../components/color":367,"../../components/fx/hoverlabel_defaults":405,"../../lib":515,"../../plot_api/plot_template":555,"../../plots/array_container_defaults":561,"../../plots/domain":593,"./attributes":926,tinycolor2:313}],931:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),calc:t("./calc"),plot:t("./plot"),moduleType:"trace",name:"sankey",basePlotModule:t("./base_plot"),selectPoints:t("./select.js"),categories:["noOpacity"],meta:{}}},{"./attributes":926,"./base_plot":927,"./calc":928,"./defaults":930,"./plot":932,"./select.js":934}],932:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../lib"),a=i.numberFormat,o=t("./render"),s=t("../../components/fx"),l=t("../../components/color"),c=t("./constants").cn,u=i._;function f(t){return""!==t}function h(t,e){return t.filter((function(t){return t.key===e.traceId}))}function p(t,e){n.select(t).select("path").style("fill-opacity",e),n.select(t).select("rect").style("fill-opacity",e)}function d(t){n.select(t).select("text.name").style("fill","black")}function m(t){return function(e){return-1!==t.node.sourceLinks.indexOf(e.link)||-1!==t.node.targetLinks.indexOf(e.link)}}function g(t){return function(e){return-1!==e.node.sourceLinks.indexOf(t.link)||-1!==e.node.targetLinks.indexOf(t.link)}}function v(t,e,r){e&&r&&h(r,e).selectAll("."+c.sankeyLink).filter(m(e)).call(x.bind(0,e,r,!1))}function y(t,e,r){e&&r&&h(r,e).selectAll("."+c.sankeyLink).filter(m(e)).call(b.bind(0,e,r,!1))}function x(t,e,r,n){var i=n.datum().link.label;n.style("fill-opacity",(function(t){if(!t.link.concentrationscale)return.4})),i&&h(e,t).selectAll("."+c.sankeyLink).filter((function(t){return t.link.label===i})).style("fill-opacity",(function(t){if(!t.link.concentrationscale)return.4})),r&&h(e,t).selectAll("."+c.sankeyNode).filter(g(t)).call(v)}function b(t,e,r,n){var i=n.datum().link.label;n.style("fill-opacity",(function(t){return t.tinyColorAlpha})),i&&h(e,t).selectAll("."+c.sankeyLink).filter((function(t){return t.link.label===i})).style("fill-opacity",(function(t){return t.tinyColorAlpha})),r&&h(e,t).selectAll(c.sankeyNode).filter(g(t)).call(y)}function _(t,e){var r=t.hoverlabel||{},n=i.nestedProperty(r,e).get();return!Array.isArray(n)&&n}e.exports=function(t,e){for(var r=t._fullLayout,i=r._paper,h=r._size,m=0;m<t._fullData.length;m++)if(t._fullData[m].visible&&t._fullData[m].type===c.sankey&&!t._fullData[m]._viewInitial){var g=t._fullData[m].node;t._fullData[m]._viewInitial={node:{groups:g.groups.slice(),x:g.x.slice(),y:g.y.slice()}}}var w=u(t,"source:")+" ",T=u(t,"target:")+" ",k=u(t,"concentration:")+" ",A=u(t,"incoming flow count:")+" ",M=u(t,"outgoing flow count:")+" ";o(t,i,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{linkEvents:{hover:function(e,r,i){!1!==t._fullLayout.hovermode&&(n.select(e).call(x.bind(0,r,i,!0)),"skip"!==r.link.trace.link.hoverinfo&&(r.link.fullData=r.link.trace,t.emit("plotly_hover",{event:n.event,points:[r.link]})))},follow:function(e,i){if(!1!==t._fullLayout.hovermode){var o=i.link.trace.link;if("none"!==o.hoverinfo&&"skip"!==o.hoverinfo){for(var c=[],u=0,h=0;h<i.flow.links.length;h++){var m=i.flow.links[h];if("closest"!==t._fullLayout.hovermode||i.link.pointNumber===m.pointNumber){i.link.pointNumber===m.pointNumber&&(u=h),m.fullData=m.trace,o=i.link.trace.link;var g=y(m),v={valueLabel:a(i.valueFormat)(m.value)+i.valueSuffix};c.push({x:g[0],y:g[1],name:v.valueLabel,text:[m.label||"",w+m.source.label,T+m.target.label,m.concentrationscale?k+a("%0.2f")(m.flow.labelConcentration):""].filter(f).join("<br>"),color:_(o,"bgcolor")||l.addOpacity(m.color,1),borderColor:_(o,"bordercolor"),fontFamily:_(o,"font.family"),fontSize:_(o,"font.size"),fontColor:_(o,"font.color"),nameLength:_(o,"namelength"),textAlign:_(o,"align"),idealAlign:n.event.x<g[0]?"right":"left",hovertemplate:o.hovertemplate,hovertemplateLabels:v,eventData:[m]})}}s.loneHover(c,{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t,anchorIndex:u}).each((function(){i.link.concentrationscale||p(this,.65),d(this)}))}}function y(t){var e,r;t.circular?(e=(t.circularPathData.leftInnerExtent+t.circularPathData.rightInnerExtent)/2,r=t.circularPathData.verticalFullExtent):(e=(t.source.x1+t.target.x0)/2,r=(t.y0+t.y1)/2);var n=[e,r];return"v"===t.trace.orientation&&n.reverse(),n[0]+=i.parent.translateX,n[1]+=i.parent.translateY,n}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(b.bind(0,i,a,!0)),"skip"!==i.link.trace.link.hoverinfo&&(i.link.fullData=i.link.trace,t.emit("plotly_unhover",{event:n.event,points:[i.link]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r){var i=r.link;i.originalEvent=n.event,t._hoverdata=[i],s.click(t,{target:!0})}},nodeEvents:{hover:function(e,r,i){!1!==t._fullLayout.hovermode&&(n.select(e).call(v,r,i),"skip"!==r.node.trace.node.hoverinfo&&(r.node.fullData=r.node.trace,t.emit("plotly_hover",{event:n.event,points:[r.node]})))},follow:function(e,i){if(!1!==t._fullLayout.hovermode){var o=i.node.trace.node;if("none"!==o.hoverinfo&&"skip"!==o.hoverinfo){var l=n.select(e).select("."+c.nodeRect),u=t._fullLayout._paperdiv.node().getBoundingClientRect(),h=l.node().getBoundingClientRect(),m=h.left-2-u.left,g=h.right+2-u.left,v=h.top+h.height/4-u.top,y={valueLabel:a(i.valueFormat)(i.node.value)+i.valueSuffix};i.node.fullData=i.node.trace,t._fullLayout._calcInverseTransform(t);var x=t._fullLayout._invScaleX,b=t._fullLayout._invScaleY,w=s.loneHover({x0:x*m,x1:x*g,y:b*v,name:a(i.valueFormat)(i.node.value)+i.valueSuffix,text:[i.node.label,A+i.node.targetLinks.length,M+i.node.sourceLinks.length].filter(f).join("<br>"),color:_(o,"bgcolor")||i.tinyColorHue,borderColor:_(o,"bordercolor"),fontFamily:_(o,"font.family"),fontSize:_(o,"font.size"),fontColor:_(o,"font.color"),nameLength:_(o,"namelength"),textAlign:_(o,"align"),idealAlign:"left",hovertemplate:o.hovertemplate,hovertemplateLabels:y,eventData:[i.node]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});p(w,.85),d(w)}}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(y,i,a),"skip"!==i.node.trace.node.hoverinfo&&(i.node.fullData=i.node.trace,t.emit("plotly_unhover",{event:n.event,points:[i.node]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r,i){var a=r.node;a.originalEvent=n.event,t._hoverdata=[a],n.select(e).call(y,r,i),s.click(t,{target:!0})}}})}},{"../../components/color":367,"../../components/fx":407,"../../lib":515,"./constants":929,"./render":933,"@plotly/d3":58}],933:[function(t,e,r){"use strict";var n=t("d3-force"),i=t("d3-interpolate").interpolateNumber,a=t("@plotly/d3"),o=t("@plotly/d3-sankey"),s=t("@plotly/d3-sankey-circular"),l=t("./constants"),c=t("tinycolor2"),u=t("../../components/color"),f=t("../../components/drawing"),h=t("../../lib"),p=h.strTranslate,d=h.strRotate,m=t("../../lib/gup"),g=m.keyFun,v=m.repeat,y=m.unwrap,x=t("../../lib/svg_text_utils"),b=t("../../registry"),_=t("../../constants/alignment"),w=_.CAP_SHIFT,T=_.LINE_SPACING;function k(t,e,r){var n,i=y(e),a=i.trace,u=a.domain,f="h"===a.orientation,p=a.node.pad,d=a.node.thickness,m=t.width*(u.x[1]-u.x[0]),g=t.height*(u.y[1]-u.y[0]),v=i._nodes,x=i._links,b=i.circular;(n=b?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[m,g]:[g,m]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodes(v).links(x);var _,w,T,k=n();for(var A in n.nodePadding()<p&&h.warn("node.pad was reduced to ",n.nodePadding()," to fit within the figure."),i._groupLookup){var M,S=parseInt(i._groupLookup[A]);for(_=0;_<k.nodes.length;_++)if(k.nodes[_].pointNumber===S){M=k.nodes[_];break}if(M){var E={pointNumber:parseInt(A),x0:M.x0,x1:M.x1,y0:M.y0,y1:M.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};k.nodes.unshift(E),M.childrenNodes.unshift(E)}}if(function(){for(_=0;_<k.nodes.length;_++){var t,e,r=k.nodes[_],n={};for(w=0;w<r.targetLinks.length;w++)t=(e=r.targetLinks[w]).source.pointNumber+":"+e.target.pointNumber,n.hasOwnProperty(t)||(n[t]=[]),n[t].push(e);var i=Object.keys(n);for(w=0;w<i.length;w++){var a=n[t=i[w]],o=0,s={};for(T=0;T<a.length;T++)s[(e=a[T]).label]||(s[e.label]=0),s[e.label]+=e.value,o+=e.value;for(T=0;T<a.length;T++)(e=a[T]).flow={value:o,labelConcentration:s[e.label]/o,concentration:e.value/o,links:a},e.concentrationscale&&(e.color=c(e.concentrationscale(e.flow.labelConcentration)))}var l=0;for(w=0;w<r.sourceLinks.length;w++)l+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/l;var u=0;for(w=0;w<r.targetLinks.length;w++)u+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/u}}(),a.node.x.length&&a.node.y.length){for(_=0;_<Math.min(a.node.x.length,a.node.y.length,k.nodes.length);_++)if(a.node.x[_]&&a.node.y[_]){var L=[a.node.x[_]*m,a.node.y[_]*g];k.nodes[_].x0=L[0]-d/2,k.nodes[_].x1=L[0]+d/2;var C=k.nodes[_].y1-k.nodes[_].y0;k.nodes[_].y0=L[1]-C/2,k.nodes[_].y1=L[1]+C/2}if("snap"===a.arrangement)!function(t){t.forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return t.y0-e.y0})),n=0;n<a;++n)(e=t[n]).y0>=i||(r=i-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),i=e.y1+p}))}(function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(v=k.nodes));n.update(k)}return{circular:b,key:r,trace:a,guid:h.randstr(),horizontal:f,width:m,height:g,nodePad:a.node.pad,nodeLineColor:a.node.line.color,nodeLineWidth:a.node.line.width,linkLineColor:a.link.line.color,linkLineWidth:a.link.line.width,linkArrowLength:a.link.arrowlen,valueFormat:a.valueformat,valueSuffix:a.valuesuffix,textFont:a.textfont,translateX:u.x[0]*t.width+t.margin.l,translateY:t.height-u.y[1]*t.height+t.margin.t,dragParallel:f?g:m,dragPerpendicular:f?m:g,arrangement:a.arrangement,sankey:n,graph:k,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function A(t,e,r){var n=c(e.color),i=e.source.label+"|"+e.target.label+"__"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:u.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,linkArrowLength:t.linkArrowLength,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){var e=t.linkArrowLength;if(t.link.circular)return function(t,e){var r=t.width/2,n=t.circularPathData;return"top"===t.circularLinkType?"M "+(n.targetX-e)+" "+(n.targetY+r)+" L"+(n.rightInnerExtent-e)+" "+(n.targetY+r)+"A"+(n.rightLargeArcRadius+r)+" "+(n.rightSmallArcRadius+r)+" 0 0 1 "+(n.rightFullExtent-r-e)+" "+(n.targetY-n.rightSmallArcRadius)+"L"+(n.rightFullExtent-r-e)+" "+n.verticalRightInnerExtent+"A"+(n.rightLargeArcRadius+r)+" "+(n.rightLargeArcRadius+r)+" 0 0 1 "+(n.rightInnerExtent-e)+" "+(n.verticalFullExtent-r)+"L"+n.leftInnerExtent+" 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n=t("../../../stackgl_modules").gl_line3d,i=t("../../../stackgl_modules").gl_scatter3d,a=t("../../../stackgl_modules").gl_error3d,o=t("../../../stackgl_modules").gl_mesh3d,s=t("../../../stackgl_modules").delaunay_triangulate,l=t("../../lib"),c=t("../../lib/str2rgbarray"),u=t("../../lib/gl_format_color").formatColor,f=t("../scatter/make_bubble_size_func"),h=t("../../constants/gl3d_dashes"),p=t("../../constants/gl3d_markers"),d=t("../../plots/cartesian/axes"),m=t("../../components/fx/helpers").appendArrayPointValue,g=t("./calc_errors");function v(t,e){this.scene=t,this.uid=e,this.linePlot=null,this.scatterPlot=null,this.errorBars=null,this.textMarkers=null,this.delaunayMesh=null,this.color=null,this.mode="",this.dataPoints=[],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.textLabels=null,this.data=null}var y=v.prototype;function x(t){return null==t?0:t.indexOf("left")>-1?-1:t.indexOf("right")>-1?1:0}function b(t){return 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W=e.projection[Y[o]];(a.project[o]=W.show)&&(a.projectOpacity[o]=W.opacity,a.projectScale[o]=W.scale)}a.errorBounds=g(e,v,p);var Z=function(t){for(var e=[0,0,0],r=[[0,0,0],[0,0,0],[0,0,0]],n=[1,1,1],i=0;i<3;i++){var a=t[i];a&&!1!==a.copy_zstyle&&!1!==t[2].visible&&(a=t[2]),a&&a.visible&&(e[i]=a.width/2,r[i]=c(a.color),n[i]=a.thickness)}return{capSize:e,color:r,lineWidth:n}}([e.error_x,e.error_y,e.error_z]);return a.errorColor=Z.color,a.errorLineWidth=Z.lineWidth,a.errorCapSize=Z.capSize,a.delaunayAxis=e.surfaceaxis,a.delaunayColor=c(e.surfacecolor),a}function A(t){if(l.isArrayOrTypedArray(t)){var e=t[0];return l.isArrayOrTypedArray(e)&&(t=e),"rgb("+t.slice(0,3).map((function(t){return Math.round(255*t)}))+")"}return null}function M(t){return l.isArrayOrTypedArray(t)?4===t.length&&"number"==typeof t[0]?A(t):t.map(A):null}y.handlePick=function(t){if(t.object&&(t.object===this.linePlot||t.object===this.delaunayMesh||t.object===this.textMarkers||t.object===this.scatterPlot)){var e=t.index=t.data.index;return t.object.highlight&&t.object.highlight(null),this.scatterPlot&&(t.object=this.scatterPlot,this.scatterPlot.highlight(t.data)),t.textLabel="",this.textLabels&&(Array.isArray(this.textLabels)?(this.textLabels[e]||0===this.textLabels[e])&&(t.textLabel=this.textLabels[e]):t.textLabel=this.textLabels),t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]],!0}},y.update=function(t){var e,r,l,c,u=this.scene.glplot.gl,f=h.solid;this.data=t;var p=k(this.scene,t);"mode"in p&&(this.mode=p.mode),"lineDashes"in p&&p.lineDashes in 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d=t.opacity;if(t.marker&&t.marker.opacity&&(d*=t.marker.opacity),r={gl:this.scene.glplot.gl,position:p.position,color:p.scatterColor,size:p.scatterSize,glyph:p.scatterMarker,opacity:d,orthographic:!0,lineWidth:p.scatterLineWidth,lineColor:p.scatterLineColor,project:p.project,projectScale:p.projectScale,projectOpacity:p.projectOpacity},-1!==this.mode.indexOf("markers")?this.scatterPlot?this.scatterPlot.update(r):(this.scatterPlot=i(r),this.scatterPlot._trace=this,this.scatterPlot.highlightScale=1,this.scene.glplot.add(this.scatterPlot)):this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose(),this.scatterPlot=null),c={gl:this.scene.glplot.gl,position:p.position,glyph:p.text,color:p.textColor,size:p.textSize,angle:p.textAngle,alignment:p.textOffset,font:p.textFont,orthographic:!0,lineWidth:0,project:!1,opacity:t.opacity},this.textLabels=t.hovertext||t.text,-1!==this.mode.indexOf("text")?this.textMarkers?this.textMarkers.update(c):(this.textMarkers=i(c),this.textMarkers._trace=this,this.textMarkers.highlightScale=1,this.scene.glplot.add(this.textMarkers)):this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose(),this.textMarkers=null),l={gl:this.scene.glplot.gl,position:p.position,color:p.errorColor,error:p.errorBounds,lineWidth:p.errorLineWidth,capSize:p.errorCapSize,opacity:t.opacity},this.errorBars?p.errorBounds?this.errorBars.update(l):(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose(),this.errorBars=null):p.errorBounds&&(this.errorBars=a(l),this.errorBars._trace=this,this.scene.glplot.add(this.errorBars)),p.delaunayAxis>=0){var m=function(t,e,r){var n,i=(r+1)%3,a=(r+2)%3,o=[],l=[];for(n=0;n<t.length;++n){var c=t[n];!isNaN(c[i])&&isFinite(c[i])&&!isNaN(c[a])&&isFinite(c[a])&&(o.push([c[i],c[a]]),l.push(n))}var u=s(o);for(n=0;n<u.length;++n)for(var f=u[n],h=0;h<f.length;++h)f[h]=l[f[h]];return{positions:t,cells:u,meshColor:e}}(p.position,p.delaunayColor,p.delaunayAxis);m.opacity=t.opacity,this.delaunayMesh?this.delaunayMesh.update(m):(m.gl=u,this.delaunayMesh=o(m),this.delaunayMesh._trace=this,this.scene.glplot.add(this.delaunayMesh))}else this.delaunayMesh&&(this.scene.glplot.remove(this.delaunayMesh),this.delaunayMesh.dispose(),this.delaunayMesh=null)},y.dispose=function(){this.linePlot&&(this.scene.glplot.remove(this.linePlot),this.linePlot.dispose()),this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose()),this.errorBars&&(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose()),this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose()),this.delaunayMesh&&(this.scene.glplot.remove(this.delaunayMesh),this.delaunayMesh.dispose())},e.exports=function(t,e){var r=new v(t,e.uid);return r.update(e),r}},{"../../../stackgl_modules":1133,"../../components/fx/helpers":403,"../../constants/gl3d_dashes":488,"../../constants/gl3d_markers":489,"../../lib":515,"../../lib/gl_format_color":511,"../../lib/str2rgbarray":540,"../../plots/cartesian/axes":566,"../scatter/make_bubble_size_func":953,"./calc_errors":966}],968:[function(t,e,r){"use strict";var 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n=t("../../lib"),i=t("../scatter/subtypes"),a=t("../scatter/marker_defaults"),o=t("../scatter/line_defaults"),s=t("../scatter/text_defaults"),l=t("../scatter/fillcolor_defaults"),c=t("./attributes");e.exports=function(t,e,r,u){function f(r,i){return n.coerce(t,e,c,r,i)}var h,p=f("locations");if(p&&p.length){var d,m=f("geojson");("string"==typeof m&&""!==m||n.isPlainObject(m))&&(d="geojson-id"),"geojson-id"===f("locationmode",d)&&f("featureidkey"),h=p.length}else{var 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n=t("@plotly/d3"),i=t("../../lib"),a=t("../../lib/topojson_utils").getTopojsonFeatures,o=t("../../lib/geojson_utils"),s=t("../../lib/geo_location_utils"),l=t("../../plots/cartesian/autorange").findExtremes,c=t("../../constants/numerical").BADNUM,u=t("../scatter/calc").calcMarkerSize,f=t("../scatter/subtypes"),h=t("./style");e.exports={calcGeoJSON:function(t,e){var r,n,i=t[0].trace,o=e[i.geo],f=o._subplot,h=i._length;if(Array.isArray(i.locations)){var p=i.locationmode,d="geojson-id"===p?s.extractTraceFeature(t):a(i,f.topojson);for(r=0;r<h;r++){n=t[r];var m="geojson-id"===p?n.fOut:s.locationToFeature(p,n.loc,d);n.lonlat=m?m.properties.ct:[c,c]}}var g,v,y={padded:!0};if("geojson"===o.fitbounds&&"geojson-id"===i.locationmode){var x=s.computeBbox(s.getTraceGeojson(i));g=[x[0],x[2]],v=[x[1],x[3]]}else{for(g=new Array(h),v=new 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s=o.calcTraceToLineCoords(e),c="none"!==a.fill?o.makePolygon(s):o.makeLine(s);r.selectAll("path.js-line").data([{geojson:c,trace:a}]).enter().append("path").classed("js-line",!0).style("stroke-miterlimit",2)}f.hasMarkers(a)&&r.selectAll("path.point").data(i.identity).enter().append("path").classed("point",!0).each((function(t){l(t,this)})),f.hasText(a)&&r.selectAll("g").data(i.identity).enter().append("g").append("text").each((function(t){l(t,this)})),h(t,e)}))}}},{"../../constants/numerical":491,"../../lib":515,"../../lib/geo_location_utils":508,"../../lib/geojson_utils":509,"../../lib/topojson_utils":544,"../../plots/cartesian/autorange":565,"../scatter/calc":937,"../scatter/subtypes":961,"./style":987,"@plotly/d3":58}],986:[function(t,e,r){"use strict";var n=t("../scatter/subtypes"),i=t("../../constants/numerical").BADNUM;e.exports=function(t,e){var 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n=t("../../lib"),i=t("../../components/color"),a=t("../../constants/interactions").DESELECTDIM;e.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,c=l._scene,u=l.index,f=c.selectBatch[u],h=c.unselectBatch[u],p=c.textOptions[u],d=c.textSelectedOptions[u]||{},m=c.textUnselectedOptions[u]||{},g=n.extendFlat({},p);if(f.length||h.length){var v=d.color,y=m.color,x=p.color,b=Array.isArray(x);for(g.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],g.color[r]=v||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;g.color[r]=y||(v?_:i.addOpacity(_,a))}}c.glText[u].update(g)}}},{"../../components/color":367,"../../constants/interactions":490,"../../lib":515}],995:[function(t,e,r){"use strict";var n=t("../scatter/format_labels");e.exports=function(t,e,r){var i=t.i;return"x"in t||(t.x=e._x[i]),"y"in t||(t.y=e._y[i]),n(t,e,r)}},{"../scatter/format_labels":945}],996:[function(t,e,r){"use strict";var n=t("./constants");r.isOpenSymbol=function(t){return"string"==typeof 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v=s.c2p(h.x,!0),y=l.c2p(h.y,!0),x=h.mrc||1,b=o.hoverlabel;b&&(h.hbg=Array.isArray(b.bgcolor)?b.bgcolor[f]:b.bgcolor,h.hbc=Array.isArray(b.bordercolor)?b.bordercolor[f]:b.bordercolor,h.hts=i.isArrayOrTypedArray(b.font.size)?b.font.size[f]:b.font.size,h.htc=Array.isArray(b.font.color)?b.font.color[f]:b.font.color,h.htf=Array.isArray(b.font.family)?b.font.family[f]:b.font.family,h.hnl=i.isArrayOrTypedArray(b.namelength)?b.namelength[f]:b.namelength);var _=o.hoverinfo;_&&(h.hi=Array.isArray(_)?_[f]:_);var w=o.hovertemplate;w&&(h.ht=Array.isArray(w)?w[f]:w);var T={};T[t.index]=h;var k=o._origX,A=o._origY,M=i.extendFlat({},t,{color:a(o,h),x0:v-x,x1:v+x,xLabelVal:k?k[f]:h.x,y0:y-x,y1:y+x,yLabelVal:A?A[f]:h.y,cd:T,distance:c,spikeDistance:u,hovertemplate:h.ht});return h.htx?M.text=h.htx:h.tx?M.text=h.tx:o.text&&(M.text=o.text),i.fillText(h,o,M),n.getComponentMethod("errorbars","hoverInfo")(h,o,M),M}e.exports={hoverPoints:function(t,e,r,n){var 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R=y.selectBatch[I]=s.selIndices2selPoints(C),F={};for(g=0;g<R.length;g++)F[R[g]]=1;var B=[];for(g=0;g<O;g++)F[g]||B.push(g);y.unselectBatch[I]=B}var N=P.xpx=new Array(O),j=P.ypx=new Array(O);for(g=0;g<O;g++)N[g]=x.c2p(z[g]),j[g]=b.c2p(D[g])}else P.xpx=P.ypx=null}if(S){if(y.select2d||(y.select2d=n(v._glcanvas.data()[1].regl)),y.scatter2d){var U=new Array(_);for(m=0;m<_;m++)U[m]=y.selectBatch[m].length||y.unselectBatch[m].length?y.markerUnselectedOptions[m]:{};y.scatter2d.update(U)}y.select2d&&(y.select2d.update(y.markerOptions),y.select2d.update(y.markerSelectedOptions)),y.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};u.hasText(e)&&h(t)}))}else y.scatter2d&&y.scatter2d.update(y.markerOptions);var V={viewport:d(v,x,b,t._context.plotGlPixelRatio),range:[(x._rl||x.range)[0],(b._rl||b.range)[0],(x._rl||x.range)[1],(b._rl||b.range)[1]]},H=s.repeat(V,y.count);y.fill2d&&y.fill2d.update(H),y.line2d&&y.line2d.update(H),y.error2d&&y.error2d.update(H.concat(H)),y.scatter2d&&y.scatter2d.update(H),y.select2d&&y.select2d.update(H),y.glText&&y.glText.forEach((function(t){t.update(V)}))}else y.init()}}).reglPrecompiled=p},{"../../components/dragelement/helpers":385,"../../lib":515,"../../lib/prepare_regl":528,"../scatter/link_traces":952,"../scatter/subtypes":961,"./edit_style":994,"gl-text":225,"regl-error2d":280,"regl-line2d":281,"regl-scatter2d":282}],1e3:[function(t,e,r){"use strict";var n=t("../../lib");e.exports=function(t,e){var r=e._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,a,i)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var i=0;i<r.count;i++)r.glText[i].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,i=r.error2d,a=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,c=r.selectBatch,u=r.unselectBatch,f=0;f<t;f++){if(e&&r.fillOrder[f]&&e.draw(r.fillOrder[f]),a&&r.lineOptions[f]&&a.draw(f),i&&(r.errorXOptions[f]&&i.draw(f),r.errorYOptions[f]&&i.draw(f+t)),o&&r.markerOptions[f])if(u[f].length){var h=n.repeat([],r.count);h[f]=u[f],o.draw(h)}else 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n=t("../../plots/template_attributes").hovertemplateAttrs,i=t("../../plots/template_attributes").texttemplateAttrs,a=t("../scattergeo/attributes"),o=t("../scatter/attributes"),s=t("../../plots/mapbox/layout_attributes"),l=t("../../plots/attributes"),c=t("../../components/colorscale/attributes"),u=t("../../lib/extend").extendFlat,f=t("../../plot_api/edit_types").overrideAll,h=t("../../plots/mapbox/layout_attributes"),p=a.line,d=a.marker;e.exports=f({lon:a.lon,lat:a.lat,cluster:{enabled:{valType:"boolean"},maxzoom:u({},h.layers.maxzoom,{}),step:{valType:"number",arrayOk:!0,dflt:-1,min:-1},size:{valType:"number",arrayOk:!0,dflt:20,min:0},color:{valType:"color",arrayOk:!0},opacity:u({},d.opacity,{dflt:1})},mode:u({},o.mode,{dflt:"markers"}),text:u({},o.text,{}),texttemplate:i({editType:"plot"},{keys:["lat","lon","text"]}),hovertext:u({},o.hovertext,{}),line:{color:p.color,width:p.width},connectgaps:o.connectgaps,marker:u({symbol:{valType:"string",dflt:"circle",arrayOk:!0},angle:{valType:"number",dflt:"auto",arrayOk:!0},allowoverlap:{valType:"boolean",dflt:!1},opacity:d.opacity,size:d.size,sizeref:d.sizeref,sizemin:d.sizemin,sizemode:d.sizemode},c("marker")),fill:a.fill,fillcolor:o.fillcolor,textfont:s.layers.symbol.textfont,textposition:s.layers.symbol.textposition,below:{valType:"string"},selected:{marker:o.selected.marker},unselected:{marker:o.unselected.marker},hoverinfo:u({},l.hoverinfo,{flags:["lon","lat","text","name"]}),hovertemplate:n()},"calc","nested")},{"../../components/colorscale/attributes":374,"../../lib/extend":505,"../../plot_api/edit_types":548,"../../plots/attributes":562,"../../plots/mapbox/layout_attributes":624,"../../plots/template_attributes":642,"../scatter/attributes":936,"../scattergeo/attributes":978}],1003:[function(t,e,r){"use 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Array(4);(r=a.getFromId(t,p._diag[l][0]))&&(T[0]=r._rl[0],T[2]=r._rl[1],k[0]=r.domain[0],k[2]=r.domain[1]),(s=a.getFromId(t,p._diag[l][1]))&&(T[1]=s._rl[0],T[3]=s._rl[1],k[1]=s.domain[0],k[3]=s.domain[1])}var A=t._context.plotGlPixelRatio,M=h.l*A,S=h.b*A,E=h.w*A,L=h.h*A;w.viewport=[M,S,E+M,L+S],!0===m.matrix&&(m.matrix=n(y));var C=f.clickmode.indexOf("select")>-1,P=!0;if(o(x)||!!p.selectedpoints||C){var I=p._length;if(p.selectedpoints){m.selectBatch=p.selectedpoints;var O=p.selectedpoints,z={};for(l=0;l<O.length;l++)z[O[l]]=!0;var D=[];for(l=0;l<I;l++)z[l]||D.push(l);m.unselectBatch=D}var R=d.xpx=new Array(_),F=d.ypx=new Array(_);for(u=0;u<b.length;u++){if(l=b[u],r=a.getFromId(t,p._diag[l][0]))for(R[u]=new Array(I),c=0;c<I;c++)R[u][c]=r.c2p(v[u][c]);if(s=a.getFromId(t,p._diag[l][1]))for(F[u]=new Array(I),c=0;c<I;c++)F[u][c]=s.c2p(v[u][c])}if(m.selectBatch.length||m.unselectBatch.length){var B=i.extendFlat({},g,m.unselectedOptions,w),N=i.extendFlat({},g,m.selectedOptions,w);m.matrix.update(B,N),P=!1}}else d.xpx=d.ypx=null;if(P){var j=i.extendFlat({},g,w);m.matrix.update(j,null)}}}e.exports=function(t,e,r){if(r.length)for(var n=0;n<r.length;n++)s(t,r[n][0])}},{"../../components/dragelement/helpers":385,"../../lib":515,"../../plots/cartesian/axis_ids":570,"regl-splom":283}],1051:[function(t,e,r){"use strict";var n=t("../../lib");e.exports=function(t,e){var r=t._fullLayout,i=e.uid,a=r._splomScenes;a||(a=r._splomScenes={});var o={dirty:!0,selectBatch:[],unselectBatch:[]},s=a[e.uid];return s||((s=a[i]=n.extendFlat({},o,{matrix:!1,selectBatch:[],unselectBatch:[]})).draw=function(){s.matrix&&s.matrix.draw&&(s.selectBatch.length||s.unselectBatch.length?s.matrix.draw(s.unselectBatch,s.selectBatch):s.matrix.draw()),s.dirty=!1},s.destroy=function(){s.matrix&&s.matrix.destroy&&s.matrix.destroy(),s.matrixOptions=null,s.selectBatch=null,s.unselectBatch=null,s=null}),s.dirty||n.extendFlat(s,o),s}},{"../../lib":515}],1052:[function(t,e,r){"use strict";var n=t("../../lib"),i=n.pushUnique,a=t("../scatter/subtypes"),o=t("./helpers");e.exports=function(t,e){var r=t.cd,s=r[0].trace,l=r[0].t,c=t.scene,u=c.matrixOptions.cdata,f=t.xaxis,h=t.yaxis,p=[];if(!c)return p;var d=!a.hasMarkers(s)&&!a.hasText(s);if(!0!==s.visible||d)return p;var m=o.getDimIndex(s,f),g=o.getDimIndex(s,h);if(!1===m||!1===g)return p;var v=l.xpx[m],y=l.ypx[g],x=u[m],b=u[g],_=(t.scene.selectBatch||[]).slice(),w=[];if(!1!==e&&!e.degenerate)for(var T=0;T<x.length;T++)e.contains([v[T],y[T]],null,T,t)?(p.push({pointNumber:T,x:x[T],y:b[T]}),i(_,T)):-1!==_.indexOf(T)?i(_,T):w.push(T);var k=c.matrixOptions;return _.length||w.length?c.selectBatch.length||c.unselectBatch.length||c.matrix.update(c.unselectedOptions,n.extendFlat({},k,c.selectedOptions,c.viewOpts)):c.matrix.update(k,null),c.selectBatch=_,c.unselectBatch=w,p}},{"../../lib":515,"../scatter/subtypes":961,"./helpers":1047}],1053:[function(t,e,r){"use strict";var n=t("../../components/colorscale/attributes"),i=t("../../plots/cartesian/axis_format_attributes").axisHoverFormat,a=t("../../plots/template_attributes").hovertemplateAttrs,o=t("../mesh3d/attributes"),s=t("../../plots/attributes"),l=t("../../lib/extend").extendFlat,c={x:{valType:"data_array",editType:"calc+clearAxisTypes"},y:{valType:"data_array",editType:"calc+clearAxisTypes"},z:{valType:"data_array",editType:"calc+clearAxisTypes"},u:{valType:"data_array",editType:"calc"},v:{valType:"data_array",editType:"calc"},w:{valType:"data_array",editType:"calc"},starts:{x:{valType:"data_array",editType:"calc"},y:{valType:"data_array",editType:"calc"},z:{valType:"data_array",editType:"calc"},editType:"calc"},maxdisplayed:{valType:"integer",min:0,dflt:1e3,editType:"calc"},sizeref:{valType:"number",editType:"calc",min:0,dflt:1},text:{valType:"string",dflt:"",editType:"calc"},hovertext:{valType:"string",dflt:"",editType:"calc"},hovertemplate:a({editType:"calc"},{keys:["tubex","tubey","tubez","tubeu","tubev","tubew","norm","divergence"]}),uhoverformat:i("u",1),vhoverformat:i("v",1),whoverformat:i("w",1),xhoverformat:i("x"),yhoverformat:i("y"),zhoverformat:i("z"),showlegend:l({},s.showlegend,{dflt:!1})};l(c,n("",{colorAttr:"u/v/w 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e,r,i,a,s,l,c,u,f,h,p,d,m=t._x,g=t._y,v=t._z,y=t._len,x=-1/0,b=1/0,_=-1/0,w=1/0,T=-1/0,k=1/0,A="";for(y&&(c=m[0],f=g[0],p=v[0]),y>1&&(u=m[y-1],h=g[y-1],d=v[y-1]),e=0;e<y;e++)x=Math.max(x,m[e]),b=Math.min(b,m[e]),_=Math.max(_,g[e]),w=Math.min(w,g[e]),T=Math.max(T,v[e]),k=Math.min(k,v[e]),a||m[e]===c||(a=!0,A+="x"),s||g[e]===f||(s=!0,A+="y"),l||v[e]===p||(l=!0,A+="z");a||(A+="x"),s||(A+="y"),l||(A+="z");var M=o(t._x),S=o(t._y),E=o(t._z);A=(A=(A=A.replace("x",(c>u?"-":"+")+"x")).replace("y",(f>h?"-":"+")+"y")).replace("z",(p>d?"-":"+")+"z");var L=function(){y=0,M=[],S=[],E=[]};(!y||y<M.length*S.length*E.length)&&L();var C=function(t){return"x"===t?m:"y"===t?g:v},P=function(t){return"x"===t?M:"y"===t?S:E},I=function(t){return t[y-1]<t[0]?-1:1},O=C(A[1]),z=C(A[3]),D=C(A[5]),R=P(A[1]).length,F=P(A[3]).length,B=P(A[5]).length,N=!1,j=function(t,e,r){return R*(F*t+e)+r},U=I(C(A[1])),V=I(C(A[3])),H=I(C(A[5]));for(e=0;e<B-1;e++){for(r=0;r<F-1;r++){for(i=0;i<R-1;i++){var q=j(e,r,i),G=j(e,r,i+1),Y=j(e,r+1,i),W=j(e+1,r,i);if(O[q]*U<O[G]*U&&z[q]*V<z[Y]*V&&D[q]*H<D[W]*H||(N=!0),N)break}if(N)break}if(N)break}return N&&(n.warn("Encountered arbitrary coordinates! Unable to input data grid."),L()),{xMin:b,yMin:w,zMin:k,xMax:x,yMax:_,zMax:T,Xs:M,Ys:S,Zs:E,len:y,fill:A}}function o(t){return n.distinctVals(t).vals}function s(t,e){if(void 0===e&&(e=t.length),n.isTypedArray(t))return t.subarray(0,e);for(var r=[],i=0;i<e;i++)r[i]=+t[i];return r}e.exports={calc:function(t,e){e._len=Math.min(e.u.length,e.v.length,e.w.length,e.x.length,e.y.length,e.z.length),e._u=s(e.u,e._len),e._v=s(e.v,e._len),e._w=s(e.w,e._len),e._x=s(e.x,e._len),e._y=s(e.y,e._len),e._z=s(e.z,e._len);var r=a(e);e._gridFill=r.fill,e._Xs=r.Xs,e._Ys=r.Ys,e._Zs=r.Zs,e._len=r.len;var n,o,l,c=0;e.starts&&(n=s(e.starts.x||[]),o=s(e.starts.y||[]),l=s(e.starts.z||[]),c=Math.min(n.length,o.length,l.length)),e._startsX=n||[],e._startsY=o||[],e._startsZ=l||[];var u,f=0,h=1/0;for(u=0;u<e._len;u++){var p=e._u[u],d=e._v[u],m=e._w[u],g=Math.sqrt(p*p+d*d+m*m);f=Math.max(f,g),h=Math.min(h,g)}for(i(t,e,{vals:[h,f],containerStr:"",cLetter:"c"}),u=0;u<c;u++){var v=n[u];r.xMax=Math.max(r.xMax,v),r.xMin=Math.min(r.xMin,v);var y=o[u];r.yMax=Math.max(r.yMax,y),r.yMin=Math.min(r.yMin,y);var x=l[u];r.zMax=Math.max(r.zMax,x),r.zMin=Math.min(r.zMin,x)}e._slen=c,e._normMax=f,e._xbnds=[r.xMin,r.xMax],e._ybnds=[r.yMin,r.yMax],e._zbnds=[r.zMin,r.zMax]},filter:s,processGrid:a}},{"../../components/colorscale/calc":375,"../../lib":515}],1055:[function(t,e,r){"use strict";var n=t("../../../stackgl_modules").gl_streamtube3d,i=n.createTubeMesh,a=t("../../lib"),o=t("../../lib/gl_format_color").parseColorScale,s=t("../../components/colorscale").extractOpts,l=t("../../plots/gl3d/zip3"),c={xaxis:0,yaxis:1,zaxis:2};function u(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null}var f=u.prototype;function h(t){var e=t.length;return e>2?t.slice(1,e-1):2===e?[(t[0]+t[1])/2]:t}function p(t){var e=t.length;return 1===e?[.5,.5]:[t[1]-t[0],t[e-1]-t[e-2]]}function d(t,e){var r=t.fullSceneLayout,i=t.dataScale,u=e._len,f={};function d(t,e){var n=r[e],o=i[c[e]];return a.simpleMap(t,(function(t){return n.d2l(t)*o}))}if(f.vectors=l(d(e._u,"xaxis"),d(e._v,"yaxis"),d(e._w,"zaxis"),u),!u)return{positions:[],cells:[]};var m=d(e._Xs,"xaxis"),g=d(e._Ys,"yaxis"),v=d(e._Zs,"zaxis");if(f.meshgrid=[m,g,v],f.gridFill=e._gridFill,e._slen)f.startingPositions=l(d(e._startsX,"xaxis"),d(e._startsY,"yaxis"),d(e._startsZ,"zaxis"));else{for(var y=g[0],x=h(m),b=h(v),_=new Array(x.length*b.length),w=0,T=0;T<x.length;T++)for(var k=0;k<b.length;k++)_[w++]=[x[T],y,b[k]];f.startingPositions=_}f.colormap=o(e),f.tubeSize=e.sizeref,f.maxLength=e.maxdisplayed;var A=d(e._xbnds,"xaxis"),M=d(e._ybnds,"yaxis"),S=d(e._zbnds,"zaxis"),E=p(m),L=p(g),C=p(v),P=[[A[0]-E[0],M[0]-L[0],S[0]-C[0]],[A[1]+E[1],M[1]+L[1],S[1]+C[1]]],I=n(f,P),O=s(e);I.vertexIntensityBounds=[O.min/e._normMax,O.max/e._normMax];var z=e.lightposition;return I.lightPosition=[z.x,z.y,z.z],I.ambient=e.lighting.ambient,I.diffuse=e.lighting.diffuse,I.specular=e.lighting.specular,I.roughness=e.lighting.roughness,I.fresnel=e.lighting.fresnel,I.opacity=e.opacity,e._pad=I.tubeScale*e.sizeref*2,I}f.handlePick=function(t){var e=this.scene.fullSceneLayout,r=this.scene.dataScale;function n(t,n){var i=e[n],a=r[c[n]];return i.l2c(t)/a}if(t.object===this.mesh){var i=t.data.position,a=t.data.velocity;return t.traceCoordinate=[n(i[0],"xaxis"),n(i[1],"yaxis"),n(i[2],"zaxis"),n(a[0],"xaxis"),n(a[1],"yaxis"),n(a[2],"zaxis"),t.data.intensity*this.data._normMax,t.data.divergence],t.textLabel=this.data.hovertext||this.data.text,!0}},f.update=function(t){this.data=t;var e=d(this.scene,t);this.mesh.update(e)},f.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var r=t.glplot.gl,n=d(t,e),a=i(r,n),o=new u(t,e.uid);return o.mesh=a,o.data=e,a._trace=o,t.glplot.add(a),o}},{"../../../stackgl_modules":1133,"../../components/colorscale":379,"../../lib":515,"../../lib/gl_format_color":511,"../../plots/gl3d/zip3":618}],1056:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/colorscale/defaults"),a=t("./attributes");e.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s("u"),c=s("v"),u=s("w"),f=s("x"),h=s("y"),p=s("z");l&&l.length&&c&&c.length&&u&&u.length&&f&&f.length&&h&&h.length&&p&&p.length?(s("starts.x"),s("starts.y"),s("starts.z"),s("maxdisplayed"),s("sizeref"),s("lighting.ambient"),s("lighting.diffuse"),s("lighting.specular"),s("lighting.roughness"),s("lighting.fresnel"),s("lightposition.x"),s("lightposition.y"),s("lightposition.z"),i(t,e,o,s,{prefix:"",cLetter:"c"}),s("text"),s("hovertext"),s("hovertemplate"),s("uhoverformat"),s("vhoverformat"),s("whoverformat"),s("xhoverformat"),s("yhoverformat"),s("zhoverformat"),e._length=null):e.visible=!1}},{"../../components/colorscale/defaults":377,"../../lib":515,"./attributes":1053}],1057:[function(t,e,r){"use strict";e.exports={moduleType:"trace",name:"streamtube",basePlotModule:t("../../plots/gl3d"),categories:["gl3d","showLegend"],attributes:t("./attributes"),supplyDefaults:t("./defaults"),colorbar:{min:"cmin",max:"cmax"},calc:t("./calc").calc,plot:t("./convert"),eventData:function(t,e){return t.tubex=t.x,t.tubey=t.y,t.tubez=t.z,t.tubeu=e.traceCoordinate[3],t.tubev=e.traceCoordinate[4],t.tubew=e.traceCoordinate[5],t.norm=e.traceCoordinate[6],t.divergence=e.traceCoordinate[7],delete t.x,delete t.y,delete t.z,t},meta:{}}},{"../../plots/gl3d":607,"./attributes":1053,"./calc":1054,"./convert":1055,"./defaults":1056}],1058:[function(t,e,r){"use strict";var n=t("../../plots/attributes"),i=t("../../plots/template_attributes").hovertemplateAttrs,a=t("../../plots/template_attributes").texttemplateAttrs,o=t("../../components/colorscale/attributes"),s=t("../../plots/domain").attributes,l=t("../pie/attributes"),c=t("./constants"),u=t("../../lib/extend").extendFlat;e.exports={labels:{valType:"data_array",editType:"calc"},parents:{valType:"data_array",editType:"calc"},values:{valType:"data_array",editType:"calc"},branchvalues:{valType:"enumerated",values:["remainder","total"],dflt:"remainder",editType:"calc"},count:{valType:"flaglist",flags:["branches","leaves"],dflt:"leaves",editType:"calc"},level:{valType:"any",editType:"plot",anim:!0},maxdepth:{valType:"integer",editType:"plot",dflt:-1},marker:u({colors:{valType:"data_array",editType:"calc"},line:{color:u({},l.marker.line.color,{dflt:null}),width:u({},l.marker.line.width,{dflt:1}),editType:"calc"},editType:"calc"},o("marker",{colorAttr:"colors",anim:!1})),leaf:{opacity:{valType:"number",editType:"style",min:0,max:1},editType:"plot"},text:l.text,textinfo:{valType:"flaglist",flags:["label","text","value","current 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n=t("../../plots/plots");r.name="sunburst",r.plot=function(t,e,i,a){n.plotBasePlot(r.name,t,e,i,a)},r.clean=function(t,e,i,a){n.cleanBasePlot(r.name,t,e,i,a)}},{"../../plots/plots":628}],1060:[function(t,e,r){"use strict";var n=t("d3-hierarchy"),i=t("fast-isnumeric"),a=t("../../lib"),o=t("../../components/colorscale").makeColorScaleFuncFromTrace,s=t("../pie/calc").makePullColorFn,l=t("../pie/calc").generateExtendedColors,c=t("../../components/colorscale").calc,u=t("../../constants/numerical").ALMOST_EQUAL,f={},h={},p={};r.calc=function(t,e){var r,l,f,h,p,d,m=t._fullLayout,g=e.ids,v=a.isArrayOrTypedArray(g),y=e.labels,x=e.parents,b=e.values,_=a.isArrayOrTypedArray(b),w=[],T={},k={},A=function(t){return t||"number"==typeof t},M=function(t){return!_||i(b[t])&&b[t]>=0};v?(r=Math.min(g.length,x.length),l=function(t){return A(g[t])&&M(t)},f=function(t){return String(g[t])}):(r=Math.min(y.length,x.length),l=function(t){return A(y[t])&&M(t)},f=function(t){return 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c=n.select(this),f=s.ensureSingle(c,"path","surface",(function(t){t.style("pointer-events",h?"none":"all")}));i.rpx0=q(i.y0),i.rpx1=q(i.y1),i.xmid=(i.x0+i.x1)/2,i.pxmid=G(i.rpx1,i.xmid),i.midangle=-(i.xmid-Math.PI/2),i.startangle=-(i.x0-Math.PI/2),i.stopangle=-(i.x1-Math.PI/2),i.halfangle=.5*Math.min(s.angleDelta(i.x0,i.x1)||Math.PI,Math.PI),i.ring=1-i.rpx0/i.rpx1,i.rInscribed=function(t){return 0===t.rpx0&&s.isFullCircle([t.x0,t.x1])?1:Math.max(0,Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2))}(i),_?f.transition().attrTween("d",(function(t){var e=function(t){var e,r=F[b.getPtId(t)],n={x0:t.x0,x1:t.x1,rpx0:t.rpx0,rpx1:t.rpx1};if(r)e=r;else if(R)if(t.parent)if(X){var i=(t.x1>X?2*Math.PI:0)+V;e={x0:i,x1:i}}else e={rpx0:O,rpx1:O},s.extendFlat(e,Q(t));else e={rpx0:0,rpx1:0};else e={x0:V,x1:V};return a(e,n)}(t);return function(t){return 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if(e={rpx1:t.rpx1,transform:{textPosAngle:n.textPosAngle,scale:0,rotate:n.rotate,rCenter:n.rCenter,x:n.x,y:n.y}},R)if(t.parent)if(X){var i=t.x1>X?2*Math.PI:0;e.x0=e.x1=i}else s.extendFlat(e,Q(t));else e.x0=e.x1=V;else e.x0=e.x1=V;var o=a(e.transform.textPosAngle,t.transform.textPosAngle),l=a(e.rpx1,t.rpx1),c=a(e.x0,t.x0),f=a(e.x1,t.x1),h=a(e.transform.scale,n.scale),p=a(e.transform.rotate,n.rotate),d=0===n.rCenter?3:0===e.transform.rCenter?1/3:1,m=a(e.transform.rCenter,n.rCenter);return function(t){var e=l(t),r=c(t),i=f(t),a=function(t){return m(Math.pow(t,d))}(t),s={pxmid:G(e,(r+i)/2),rpx1:e,transform:{textPosAngle:o(t),rCenter:a,x:n.x,y:n.y}};return u(A.type,n,v),{transform:{targetX:W(s),targetY:Z(s),scale:h(t),rotate:p(t),rCenter:a}}}}(t);return function(t){return E(e(t),M)}})):w.attr("transform",E(i,M))}))}function w(t){return e=t.rpx1,r=t.transform.textPosAngle,[e*Math.sin(r),-e*Math.cos(r)];var e,r}r.plot=function(t,e,r,i){var a,o,s=t._fullLayout,l=s._sunburstlayer,c=!r,u=!s.uniformtext.mode&&b.hasTransition(r);(f("sunburst",s),(a=l.selectAll("g.trace.sunburst").data(e,(function(t){return t[0].trace.uid}))).enter().append("g").classed("trace",!0).classed("sunburst",!0).attr("stroke-linejoin","round"),a.order(),u)?(i&&(o=i()),n.transition().duration(r.duration).ease(r.easing).each("end",(function(){o&&o()})).each("interrupt",(function(){o&&o()})).each((function(){l.selectAll("g.trace").each((function(e){_(t,e,this,r)}))}))):(a.each((function(e){_(t,e,this,r)})),s.uniformtext.mode&&v(t,s._sunburstlayer.selectAll(".trace"),"sunburst"));c&&a.exit().remove()},r.formatSliceLabel=function(t,e,r,n,i){var a=r.texttemplate,o=r.textinfo;if(!(a||o&&"none"!==o))return"";var l=i.separators,c=n[0],u=t.data.data,f=c.hierarchy,h=b.isHierarchyRoot(t),p=b.getParent(f,t),d=b.getValue(t);if(!a){var m,g=o.split("+"),v=function(t){return-1!==g.indexOf(t)},y=[];if(v("label")&&u.label&&y.push(u.label),u.hasOwnProperty("v")&&v("value")&&y.push(b.formatValue(u.v,l)),!h){v("current path")&&y.push(b.getPath(t.data));var x=0;v("percent parent")&&x++,v("percent entry")&&x++,v("percent root")&&x++;var _=x>1;if(x){var w,T=function(t){m=b.formatPercent(w,l),_&&(m+=" of "+t),y.push(m)};v("percent parent")&&!h&&(w=d/b.getValue(p),T("parent")),v("percent entry")&&(w=d/b.getValue(e),T("entry")),v("percent root")&&(w=d/b.getValue(f),T("root"))}}return v("text")&&(m=s.castOption(r,u.i,"text"),s.isValidTextValue(m)&&y.push(m)),y.join("<br>")}var k=s.castOption(r,u.i,"texttemplate");if(!k)return"";var A={};u.label&&(A.label=u.label),u.hasOwnProperty("v")&&(A.value=u.v,A.valueLabel=b.formatValue(u.v,l)),A.currentPath=b.getPath(t.data),h||(A.percentParent=d/b.getValue(p),A.percentParentLabel=b.formatPercent(A.percentParent,l),A.parent=b.getPtLabel(p)),A.percentEntry=d/b.getValue(e),A.percentEntryLabel=b.formatPercent(A.percentEntry,l),A.entry=b.getPtLabel(e),A.percentRoot=d/b.getValue(f),A.percentRootLabel=b.formatPercent(A.percentRoot,l),A.root=b.getPtLabel(f),u.hasOwnProperty("color")&&(A.color=u.color);var M=s.castOption(r,u.i,"text");return(s.isValidTextValue(M)||""===M)&&(A.text=M),A.customdata=s.castOption(r,u.i,"customdata"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},{"../../components/drawing":389,"../../lib":515,"../../lib/svg_text_utils":541,"../bar/style":671,"../bar/uniform_text":673,"../pie/helpers":915,"../pie/plot":919,"./constants":1061,"./fx":1063,"./helpers":1064,"./style":1069,"@plotly/d3":58,"d3-hierarchy":115,"d3-interpolate":116}],1069:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../components/color"),a=t("../../lib"),o=t("../bar/uniform_text").resizeText;function s(t,e,r){var n=e.data.data,o=!e.children,s=n.i,l=a.castOption(r,s,"marker.line.color")||i.defaultLine,c=a.castOption(r,s,"marker.line.width")||0;t.style("stroke-width",c).call(i.fill,n.color).call(i.stroke,l).style("opacity",o?r.leaf.opacity:null)}e.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(".trace");o(t,e,"sunburst"),e.each((function(t){var e=n.select(this),r=t[0].trace;e.style("opacity",r.opacity),e.selectAll("path.surface").each((function(t){n.select(this).call(s,t,r)}))}))},styleOne:s}},{"../../components/color":367,"../../lib":515,"../bar/uniform_text":673,"@plotly/d3":58}],1070:[function(t,e,r){"use strict";var n=t("../../components/color"),i=t("../../components/colorscale/attributes"),a=t("../../plots/cartesian/axis_format_attributes").axisHoverFormat,o=t("../../plots/template_attributes").hovertemplateAttrs,s=t("../../plots/attributes"),l=t("../../lib/extend").extendFlat,c=t("../../plot_api/edit_types").overrideAll;function u(t){return{show:{valType:"boolean",dflt:!1},start:{valType:"number",dflt:null,editType:"plot"},end:{valType:"number",dflt:null,editType:"plot"},size:{valType:"number",dflt:null,min:0,editType:"plot"},project:{x:{valType:"boolean",dflt:!1},y:{valType:"boolean",dflt:!1},z:{valType:"boolean",dflt:!1}},color:{valType:"color",dflt:n.defaultLine},usecolormap:{valType:"boolean",dflt:!1},width:{valType:"number",min:1,max:16,dflt:2},highlight:{valType:"boolean",dflt:!0},highlightcolor:{valType:"color",dflt:n.defaultLine},highlightwidth:{valType:"number",min:1,max:16,dflt:2}}}var f=e.exports=c(l({z:{valType:"data_array"},x:{valType:"data_array"},y:{valType:"data_array"},text:{valType:"string",dflt:"",arrayOk:!0},hovertext:{valType:"string",dflt:"",arrayOk:!0},hovertemplate:o(),xhoverformat:a("x"),yhoverformat:a("y"),zhoverformat:a("z"),connectgaps:{valType:"boolean",dflt:!1,editType:"calc"},surfacecolor:{valType:"data_array"}},i("",{colorAttr:"z or surfacecolor",showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:"calc"}),{contours:{x:u(),y:u(),z:u()},hidesurface:{valType:"boolean",dflt:!1},lightposition:{x:{valType:"number",min:-1e5,max:1e5,dflt:10},y:{valType:"number",min:-1e5,max:1e5,dflt:1e4},z:{valType:"number",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:"number",min:0,max:1,dflt:.8},diffuse:{valType:"number",min:0,max:1,dflt:.8},specular:{valType:"number",min:0,max:2,dflt:.05},roughness:{valType:"number",min:0,max:1,dflt:.5},fresnel:{valType:"number",min:0,max:5,dflt:.2}},opacity:{valType:"number",min:0,max:1,dflt:1},opacityscale:{valType:"any",editType:"calc"},_deprecated:{zauto:l({},i.zauto,{}),zmin:l({},i.zmin,{}),zmax:l({},i.zmax,{})},hoverinfo:l({},s.hoverinfo),showlegend:l({},s.showlegend,{dflt:!1})}),"calc","nested");f.x.editType=f.y.editType=f.z.editType="calc+clearAxisTypes",f.transforms=void 0},{"../../components/color":367,"../../components/colorscale/attributes":374,"../../lib/extend":505,"../../plot_api/edit_types":548,"../../plots/attributes":562,"../../plots/cartesian/axis_format_attributes":569,"../../plots/template_attributes":642}],1071:[function(t,e,r){"use strict";var n=t("../../components/colorscale/calc");e.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:"",cLetter:"c"}):n(t,e,{vals:e.z,containerStr:"",cLetter:"c"})}},{"../../components/colorscale/calc":375}],1072:[function(t,e,r){"use strict";var n=t("../../../stackgl_modules").gl_surface3d,i=t("../../../stackgl_modules").ndarray,a=t("../../../stackgl_modules").ndarray_linear_interpolate.d2,o=t("../heatmap/interp2d"),s=t("../heatmap/find_empties"),l=t("../../lib").isArrayOrTypedArray,c=t("../../lib/gl_format_color").parseColorScale,u=t("../../lib/str2rgbarray"),f=t("../../components/colorscale").extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){var o=t.dataCoordinate[a];null!=o&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var s=this.data.hovertext||this.data.text;return Array.isArray(s)&&s[i]&&void 0!==s[i][n]?t.textLabel=s[i][n]:t.textLabel=s||"",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var d=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function m(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function g(t){for(var e=[],r=0;r<d.length;r++){var n=d[r];e.push(m(t,n))}return e}function v(t){for(var e=g(t),r=t,n=0;n<d.length;n++)if(e[n]>0){r=d[n];break}return r}function y(t,e){if(!(t<1||e<1)){for(var r=g(t),n=g(e),i=1,a=0;a<d.length;a++)i*=Math.pow(d[a],Math.max(r[a],n[a]));return i}}p.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),i=this.getXat(e,0);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r},p.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),i=this.getYat(0,e);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r};var x=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],b=x[9],_=x[13];function w(t,e,r){var n=r[8]+r[2]*e[0]+r[5]*e[1];return t[0]=(r[6]+r[0]*e[0]+r[3]*e[1])/n,t[1]=(r[7]+r[1]*e[0]+r[4]*e[1])/n,t}function T(t,e,r){return function(t,e,r,n){for(var i=[0,0],o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++)r(i,[l,c],n),t.set(l,c,a(e,i[0],i[1]))}(t,e,w,r),t}function k(t,e){for(var r=!1,n=0;n<t.length;n++)if(e===t[n]){r=!0;break}!1===r&&t.push(e)}p.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r<t.length;r++)e=y(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<b;)r*=2;for(;r>_;)r--,r/=v(r),++r<b&&(r=_);var n=Math.round(r/t);return n>1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],a=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,c=1+a+1,u=i(new Float32Array(l*c),[l,c]),f=[1/e,0,0,0,1/r,0,0,0,1],h=0;h<t.length;++h){this.surface.padField(u,t[h]);var p=i(new Float32Array(o*s),[o,s]);T(p,u,f),t[h]=p}},p.setContourLevels=function(){var t,e,r,n=[[],[],[]],i=[!1,!1,!1],a=!1;for(t=0;t<3;++t)if(this.showContour[t]&&(a=!0,this.contourSize[t]>0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(i[t]=!0,e=this.contourStart[t];e<this.contourEnd[t];e+=this.contourSize[t])r=e*this.scene.dataScale[t],k(n[t],r);if(a){var o=[[],[],[]];for(t=0;t<3;++t)this.showContour[t]&&(o[t]=i[t]?n[t]:this.scene.contourLevels[t]);this.surface.update({levels:o})}},p.update=function(t){var e,r,n,a,l=this.scene,h=l.fullSceneLayout,p=this.surface,d=c(t),m=l.dataScale,g=t.z[0].length,v=t._ylength,y=l.contourLevels;this.data=t;var x=[];for(e=0;e<3;e++)for(x[e]=[],r=0;r<g;r++)x[e][r]=[];for(r=0;r<g;r++)for(n=0;n<v;n++)x[0][r][n]=this.getXat(r,n,t.xcalendar,h.xaxis),x[1][r][n]=this.getYat(r,n,t.ycalendar,h.yaxis),x[2][r][n]=this.getZat(r,n,t.zcalendar,h.zaxis);if(t.connectgaps)for(t._emptypoints=s(x[2]),o(x[2],t._emptypoints),t._interpolatedZ=[],r=0;r<g;r++)for(t._interpolatedZ[r]=[],n=0;n<v;n++)t._interpolatedZ[r][n]=x[2][r][n];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)null==(a=x[e][r][n])?x[e][r][n]=NaN:a=x[e][r][n]*=m[e];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)null!=(a=x[e][r][n])&&(this.minValues[e]>a&&(this.minValues[e]=a),this.maxValues[e]<a&&(this.maxValues[e]=a));for(e=0;e<3;e++)this.objectOffset[e]=.5*(this.minValues[e]+this.maxValues[e]);for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)null!=(a=x[e][r][n])&&(x[e][r][n]-=this.objectOffset[e]);var b=[i(new Float32Array(g*v),[g,v]),i(new Float32Array(g*v),[g,v]),i(new 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n=t("../../components/annotations/attributes"),i=t("../../lib/extend").extendFlat,a=t("../../plot_api/edit_types").overrideAll,o=t("../../plots/font_attributes"),s=t("../../plots/domain").attributes,l=t("../../plots/cartesian/axis_format_attributes").descriptionOnlyNumbers;(e.exports=a({domain:s({name:"table",trace:!0}),columnwidth:{valType:"number",arrayOk:!0,dflt:null},columnorder:{valType:"data_array"},header:{values:{valType:"data_array",dflt:[]},format:{valType:"data_array",dflt:[],description:l("cell value")},prefix:{valType:"string",arrayOk:!0,dflt:null},suffix:{valType:"string",arrayOk:!0,dflt:null},height:{valType:"number",dflt:28},align:i({},n.align,{arrayOk:!0}),line:{width:{valType:"number",arrayOk:!0,dflt:1},color:{valType:"color",arrayOk:!0,dflt:"grey"}},fill:{color:{valType:"color",arrayOk:!0,dflt:"white"}},font:i({},o({arrayOk:!0}))},cells:{values:{valType:"data_array",dflt:[]},format:{valType:"data_array",dflt:[],description:l("cell 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e,r=t.slice(),n=1/0,i=0;for(e=0;e<r.length;e++)Array.isArray(r[e])||(r[e]=[r[e]]),n=Math.min(n,r[e].length),i=Math.max(i,r[e].length);if(n!==i)for(e=0;e<r.length;e++){var a=i-r[e].length;a&&(r[e]=r[e].concat(c(a)))}return r}function c(t){for(var e=new Array(t),r=0;r<t;r++)e[r]="";return e}function u(t){return t.calcdata.columns.reduce((function(e,r){return r.xIndex<t.xIndex?e+r.columnWidth:e}),0)}function f(t,e){return Object.keys(t).map((function(r){return i({},t[r],{auxiliaryBlocks:e})}))}function h(t,e){for(var r,n={},i=0,a=0,o={firstRowIndex:null,lastRowIndex:null,rows:[]},s=0,l=0,c=0;c<t.length;c++)r=t[c],o.rows.push({rowIndex:c,rowHeight:r}),((a+=r)>=e||c===t.length-1)&&(n[i]=o,o.key=l++,o.firstRowIndex=s,o.lastRowIndex=c,o={firstRowIndex:null,lastRowIndex:null,rows:[]},i+=a,s=c+1,a=0);return n}e.exports=function(t,e){var r=l(e.cells.values),p=function(t){return t.slice(e.header.values.length,t.length)},d=l(e.header.values);d.length&&!d[0].length&&(d[0]=[""],d=l(d));var 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L=Math.max(o(e.header.line.width),o(e.cells.line.width)),C={key:e.uid+t._context.staticPlot,translateX:g.x[0]*t._fullLayout._size.w,translateY:t._fullLayout._size.h*(1-g.y[1]),size:t._fullLayout._size,width:v,maxLineWidth:L,height:y,columnOrder:M,groupHeight:y,rowBlocks:k,headerRowBlocks:T,scrollY:0,cells:i({},e.cells,{values:r}),headerCells:i({},e.header,{values:m}),gdColumns:m.map((function(t){return t[0]})),gdColumnsOriginalOrder:m.map((function(t){return t[0]})),prevPages:[0,0],scrollbarState:{scrollbarScrollInProgress:!1},columns:m.map((function(t,e){var r=A[t];return A[t]=(r||0)+1,{key:t+"__"+A[t],label:t,specIndex:e,xIndex:M[e],xScale:u,x:void 0,calcdata:void 0,columnWidth:S[e]}}))};return C.columns.forEach((function(t){t.calcdata=C,t.x=u(t)})),C}},{"../../lib/extend":505,"./constants":1078,"fast-isnumeric":190}],1080:[function(t,e,r){"use strict";var n=t("../../lib/extend").extendFlat;r.splitToPanels=function(t){var 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n=t("./constants"),i=t("@plotly/d3"),a=t("../../lib").numberFormat,o=t("../../lib/gup"),s=t("../../components/drawing"),l=t("../../lib/svg_text_utils"),c=t("../../lib").raiseToTop,u=t("../../lib").strTranslate,f=t("../../lib").cancelTransition,h=t("./data_preparation_helper"),p=t("./data_split_helpers"),d=t("../../components/color");function m(t){return Math.ceil(t.calcdata.maxLineWidth/2)}function g(t,e){return"clip"+t._fullLayout._uid+"_scrollAreaBottomClip_"+e.key}function v(t,e){return"clip"+t._fullLayout._uid+"_columnBoundaryClippath_"+e.calcdata.key+"_"+e.specIndex}function y(t){return[].concat.apply([],t.map((function(t){return t}))).map((function(t){return t.__data__}))}function x(t,e,r){var a=t.selectAll("."+n.cn.scrollbarKit).data(o.repeat,o.keyFun);a.enter().append("g").classed(n.cn.scrollbarKit,!0).style("shape-rendering","geometricPrecision"),a.each((function(t){var e=t.scrollbarState;e.totalHeight=function(t){var e=t.rowBlocks;return D(e,e.length-1)+(e.length?R(e[e.length-1],1/0):1)}(t),e.scrollableAreaHeight=t.groupHeight-S(t),e.currentlyVisibleHeight=Math.min(e.totalHeight,e.scrollableAreaHeight),e.ratio=e.currentlyVisibleHeight/e.totalHeight,e.barLength=Math.max(e.ratio*e.currentlyVisibleHeight,n.goldenRatio*n.scrollbarWidth),e.barWiggleRoom=e.currentlyVisibleHeight-e.barLength,e.wiggleRoom=Math.max(0,e.totalHeight-e.scrollableAreaHeight),e.topY=0===e.barWiggleRoom?0:t.scrollY/e.wiggleRoom*e.barWiggleRoom,e.bottomY=e.topY+e.barLength,e.dragMultiplier=e.wiggleRoom/e.barWiggleRoom})).attr("transform",(function(t){var e=t.width+n.scrollbarWidth/2+n.scrollbarOffset;return u(e,S(t))}));var s=a.selectAll("."+n.cn.scrollbar).data(o.repeat,o.keyFun);s.enter().append("g").classed(n.cn.scrollbar,!0);var l=s.selectAll("."+n.cn.scrollbarSlider).data(o.repeat,o.keyFun);l.enter().append("g").classed(n.cn.scrollbarSlider,!0),l.attr("transform",(function(t){return u(0,t.scrollbarState.topY||0)}));var 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g=r[m],v=g.pts.map(o.extractVal),y=g.bandwidth=l(e,g,v),x=g.span=c(e,g,u,y);if(g.min===g.max&&0===y)x=g.span=[g.min,g.max],g.density=[{v:1,t:x[0]}],g.bandwidth=y,p=Math.max(p,1);else{var b=x[1]-x[0],_=Math.ceil(b/(y/3)),w=b/_;if(!isFinite(w)||!isFinite(_))return n.error("Something went wrong with computing the violin span"),r[0].t.empty=!0,r;var T=o.makeKDE(g,e,v);g.density=new Array(_);for(var k=0,A=x[0];A<x[1]+w/2;k++,A+=w){var M=T(A);g.density[k]={v:M,t:A},p=Math.max(p,M)}}d=Math.max(d,v.length),f=Math.min(f,x[0]),h=Math.max(h,x[1])}var S=i.findExtremes(u,[f,h],{padded:!0});if(e._extremes[u._id]=S,e.width)r[0].t.maxKDE=p;else{var E=s._violinScaleGroupStats,L=e.scalegroup,C=E[L];C?(C.maxKDE=Math.max(C.maxKDE,p),C.maxCount=Math.max(C.maxCount,d)):E[L]={maxKDE:p,maxCount:d}}return r[0].t.labels.kde=n._(t,"kde:"),r}},{"../../constants/numerical":491,"../../lib":515,"../../plots/cartesian/axes":566,"../box/calc":683,"./helpers":1104}],1102:[function(t,e,r){"use strict";var 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n=t("../box/layout_attributes"),i=t("../../lib").extendFlat;e.exports={violinmode:i({},n.boxmode,{}),violingap:i({},n.boxgap,{}),violingroupgap:i({},n.boxgroupgap,{})}},{"../../lib":515,"../box/layout_attributes":689}],1108:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./layout_attributes"),a=t("../box/layout_defaults");e.exports=function(t,e,r){a._supply(t,e,r,(function(r,a){return n.coerce(t,e,i,r,a)}),"violin")}},{"../../lib":515,"../box/layout_defaults":690,"./layout_attributes":1107}],1109:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../lib"),a=t("../../components/drawing"),o=t("../box/plot"),s=t("../scatter/line_points"),l=t("./helpers");e.exports=function(t,e,r,c){var u=t._fullLayout,f=e.xaxis,h=e.yaxis;function p(t,e){var r=s(t,{xaxis:f,yaxis:h,trace:e,connectGaps:!0,baseTolerance:.75,shape:"spline",simplify:!0,linearized:!0});return a.smoothopen(r[0],1)}i.makeTraceGroups(c,r,"trace violins").each((function(t){var r=n.select(this),a=t[0],s=a.t,c=a.trace;if(!0!==c.visible||s.empty)r.remove();else{var d=s.bPos,m=s.bdPos,g=e[s.valLetter+"axis"],v=e[s.posLetter+"axis"],y="both"===c.side,x=y||"positive"===c.side,b=y||"negative"===c.side,_=r.selectAll("path.violin").data(i.identity);_.enter().append("path").style("vector-effect","non-scaling-stroke").attr("class","violin"),_.exit().remove(),_.each((function(t){var e,r,i,a,o,l,f,h,_=n.select(this),w=t.density,T=w.length,k=v.c2l(t.pos+d,!0),A=v.l2p(k);if(c.width)e=s.maxKDE/m;else{var M=u._violinScaleGroupStats[c.scalegroup];e="count"===c.scalemode?M.maxKDE/m*(M.maxCount/t.pts.length):M.maxKDE/m}if(x){for(f=new Array(T),o=0;o<T;o++)(h=f[o]={})[s.posLetter]=k+w[o].v/e,h[s.valLetter]=g.c2l(w[o].t,!0);r=p(f,c)}if(b){for(f=new Array(T),l=0,o=T-1;l<T;l++,o--)(h=f[l]={})[s.posLetter]=k-w[o].v/e,h[s.valLetter]=g.c2l(w[o].t,!0);i=p(f,c)}if(y)a=r+"L"+i.substr(1)+"Z";else{var S=[A,g.c2p(w[0].t)],E=[A,g.c2p(w[T-1].t)];"h"===c.orientation&&(S.reverse(),E.reverse()),a=x?"M"+S+"L"+r.substr(1)+"L"+E:"M"+E+"L"+i.substr(1)+"L"+S}_.attr("d",a),t.posCenterPx=A,t.posDensityScale=e*m,t.path=_.node(),t.pathLength=t.path.getTotalLength()/(y?2:1)}));var w,T,k,A=c.box,M=A.width,S=(A.line||{}).width;y?(w=m*M,T=0):x?(w=[0,m*M/2],T=S*{x:1,y:-1}[s.posLetter]):(w=[m*M/2,0],T=S*{x:-1,y:1}[s.posLetter]),o.plotBoxAndWhiskers(r,{pos:v,val:g},c,{bPos:d,bdPos:w,bPosPxOffset:T}),o.plotBoxMean(r,{pos:v,val:g},c,{bPos:d,bdPos:w,bPosPxOffset:T}),!c.box.visible&&c.meanline.visible&&(k=i.identity);var E=r.selectAll("path.meanline").data(k||[]);E.enter().append("path").attr("class","meanline").style("fill","none").style("vector-effect","non-scaling-stroke"),E.exit().remove(),E.each((function(t){var 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f={"stroke-width":u+"px","stroke-dasharray":2*u+"px,"+u+"px"};o.selectAll("path.mean").style(f).call(i.stroke,c.color),o.selectAll("path.meanline").style(f).call(i.stroke,c.color),a(o,r,t)}))}},{"../../components/color":367,"../scatter/style":960,"@plotly/d3":58}],1111:[function(t,e,r){"use strict";var n=t("../../components/colorscale/attributes"),i=t("../isosurface/attributes"),a=t("../surface/attributes"),o=t("../../plots/attributes"),s=t("../../lib/extend").extendFlat,l=t("../../plot_api/edit_types").overrideAll,c=e.exports=l(s({x:i.x,y:i.y,z:i.z,value:i.value,isomin:i.isomin,isomax:i.isomax,surface:i.surface,spaceframe:{show:{valType:"boolean",dflt:!1},fill:{valType:"number",min:0,max:1,dflt:1}},slices:i.slices,caps:i.caps,text:i.text,hovertext:i.hovertext,xhoverformat:i.xhoverformat,yhoverformat:i.yhoverformat,zhoverformat:i.zhoverformat,valuehoverformat:i.valuehoverformat,hovertemplate:i.hovertemplate},n("",{colorAttr:"`value`",showScaleDflt:!0,editTypeOverride:"calc"}),{colorbar:i.colorbar,opacity:i.opacity,opacityscale:a.opacityscale,lightposition:i.lightposition,lighting:i.lighting,flatshading:i.flatshading,contour:i.contour,hoverinfo:s({},o.hoverinfo),showlegend:s({},o.showlegend,{dflt:!1})}),"calc","nested");c.x.editType=c.y.editType=c.z.editType=c.value.editType="calc+clearAxisTypes",c.transforms=void 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l={positions:s(n(r.xaxis,t._meshX,e.dataScale[0],t.xcalendar),n(r.yaxis,t._meshY,e.dataScale[1],t.ycalendar),n(r.zaxis,t._meshZ,e.dataScale[2],t.zcalendar)),cells:s(t._meshI,t._meshJ,t._meshK),lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,opacityscale:t.opacityscale,contourEnable:t.contour.show,contourColor:a(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading},u=o(t);l.vertexIntensity=t._meshIntensity,l.vertexIntensityBounds=[u.min,u.max],l.colormap=i(t),this.mesh.update(l)},f.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new u(t,i,e.uid);return 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n,i,a,o=t.words,s=e.words,l=r.words,c=0,u=0|o[0],f=8191&u,h=u>>>13,p=0|o[1],d=8191&p,m=p>>>13,g=0|o[2],v=8191&g,y=g>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],I=8191&P,O=P>>>13,z=0|o[8],D=8191&z,R=z>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,H=0|s[1],q=8191&H,G=H>>>13,Y=0|s[2],W=8191&Y,Z=Y>>>13,X=0|s[3],J=8191&X,K=X>>>13,Q=0|s[4],$=8191&Q,tt=Q>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ft=8191&ut,ht=ut>>>13,pt=0|s[9],dt=8191&pt,mt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(c+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;c=((a=Math.imul(h,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(m,U)|0,a=Math.imul(m,V);var vt=(c+(n=n+Math.imul(f,q)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,q)|0))<<13)|0;c=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(v,U),i=(i=Math.imul(v,V))+Math.imul(y,U)|0,a=Math.imul(y,V),n=n+Math.imul(d,q)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(m,q)|0,a=a+Math.imul(m,G)|0;var yt=(c+(n=n+Math.imul(f,W)|0)|0)+((8191&(i=(i=i+Math.imul(f,Z)|0)+Math.imul(h,W)|0))<<13)|0;c=((a=a+Math.imul(h,Z)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(v,q)|0,i=(i=i+Math.imul(v,G)|0)+Math.imul(y,q)|0,a=a+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,i=(i=i+Math.imul(d,Z)|0)+Math.imul(m,W)|0,a=a+Math.imul(m,Z)|0;var xt=(c+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;c=((a=a+Math.imul(h,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,q)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(v,W)|0,i=(i=i+Math.imul(v,Z)|0)+Math.imul(y,W)|0,a=a+Math.imul(y,Z)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(m,J)|0,a=a+Math.imul(m,K)|0;var bt=(c+(n=n+Math.imul(f,$)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,$)|0))<<13)|0;c=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,q)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,W)|0,i=(i=i+Math.imul(b,Z)|0)+Math.imul(_,W)|0,a=a+Math.imul(_,Z)|0,n=n+Math.imul(v,J)|0,i=(i=i+Math.imul(v,K)|0)+Math.imul(y,J)|0,a=a+Math.imul(y,K)|0,n=n+Math.imul(d,$)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(m,$)|0,a=a+Math.imul(m,tt)|0;var _t=(c+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;c=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,q)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,i=(i=i+Math.imul(T,Z)|0)+Math.imul(k,W)|0,a=a+Math.imul(k,Z)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(v,$)|0,i=(i=i+Math.imul(v,tt)|0)+Math.imul(y,$)|0,a=a+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0;var wt=(c+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;c=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(I,U),i=(i=Math.imul(I,V))+Math.imul(O,U)|0,a=Math.imul(O,V),n=n+Math.imul(L,q)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,W)|0,i=(i=i+Math.imul(M,Z)|0)+Math.imul(S,W)|0,a=a+Math.imul(S,Z)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(b,$)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,$)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(v,rt)|0,i=(i=i+Math.imul(v,nt)|0)+Math.imul(y,rt)|0,a=a+Math.imul(y,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0;var Tt=(c+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ct)|0)+Math.imul(h,lt)|0))<<13)|0;c=((a=a+Math.imul(h,ct)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),i=(i=Math.imul(D,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(I,q)|0,i=(i=i+Math.imul(I,G)|0)+Math.imul(O,q)|0,a=a+Math.imul(O,G)|0,n=n+Math.imul(L,W)|0,i=(i=i+Math.imul(L,Z)|0)+Math.imul(C,W)|0,a=a+Math.imul(C,Z)|0,n=n+Math.imul(M,J)|0,i=(i=i+Math.imul(M,K)|0)+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(T,$)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,$)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(v,at)|0,i=(i=i+Math.imul(v,ot)|0)+Math.imul(y,at)|0,a=a+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ct)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ct)|0;var kt=(c+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;c=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(D,q)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(I,W)|0,i=(i=i+Math.imul(I,Z)|0)+Math.imul(O,W)|0,a=a+Math.imul(O,Z)|0,n=n+Math.imul(L,J)|0,i=(i=i+Math.imul(L,K)|0)+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(M,$)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,$)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(v,lt)|0,i=(i=i+Math.imul(v,ct)|0)+Math.imul(y,lt)|0,a=a+Math.imul(y,ct)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var At=(c+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,mt)|0)+Math.imul(h,dt)|0))<<13)|0;c=((a=a+Math.imul(h,mt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,q),i=(i=Math.imul(B,G))+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(D,W)|0,i=(i=i+Math.imul(D,Z)|0)+Math.imul(R,W)|0,a=a+Math.imul(R,Z)|0,n=n+Math.imul(I,J)|0,i=(i=i+Math.imul(I,K)|0)+Math.imul(O,J)|0,a=a+Math.imul(O,K)|0,n=n+Math.imul(L,$)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,$)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ct)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ct)|0,n=n+Math.imul(v,ft)|0,i=(i=i+Math.imul(v,ht)|0)+Math.imul(y,ft)|0,a=a+Math.imul(y,ht)|0;var Mt=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,mt)|0)+Math.imul(m,dt)|0))<<13)|0;c=((a=a+Math.imul(m,mt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,W),i=(i=Math.imul(B,Z))+Math.imul(N,W)|0,a=Math.imul(N,Z),n=n+Math.imul(D,J)|0,i=(i=i+Math.imul(D,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(I,$)|0,i=(i=i+Math.imul(I,tt)|0)+Math.imul(O,$)|0,a=a+Math.imul(O,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ct)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ct)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(c+(n=n+Math.imul(v,dt)|0)|0)+((8191&(i=(i=i+Math.imul(v,mt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((a=a+Math.imul(y,mt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(D,$)|0,i=(i=i+Math.imul(D,tt)|0)+Math.imul(R,$)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(I,rt)|0,i=(i=i+Math.imul(I,nt)|0)+Math.imul(O,rt)|0,a=a+Math.imul(O,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ct)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ct)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(c+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,mt)|0)+Math.imul(_,dt)|0))<<13)|0;c=((a=a+Math.imul(_,mt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,$),i=(i=Math.imul(B,tt))+Math.imul(N,$)|0,a=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,i=(i=i+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(I,at)|0,i=(i=i+Math.imul(I,ot)|0)+Math.imul(O,at)|0,a=a+Math.imul(O,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ct)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ct)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(c+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,mt)|0)+Math.imul(k,dt)|0))<<13)|0;c=((a=a+Math.imul(k,mt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(D,at)|0,i=(i=i+Math.imul(D,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(I,lt)|0,i=(i=i+Math.imul(I,ct)|0)+Math.imul(O,lt)|0,a=a+Math.imul(O,ct)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(c+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,mt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((a=a+Math.imul(S,mt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,i=(i=i+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ct)|0,n=n+Math.imul(I,ft)|0,i=(i=i+Math.imul(I,ht)|0)+Math.imul(O,ft)|0,a=a+Math.imul(O,ht)|0;var Pt=(c+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,mt)|0)+Math.imul(C,dt)|0))<<13)|0;c=((a=a+Math.imul(C,mt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ct))+Math.imul(N,lt)|0,a=Math.imul(N,ct),n=n+Math.imul(D,ft)|0,i=(i=i+Math.imul(D,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var It=(c+(n=n+Math.imul(I,dt)|0)|0)+((8191&(i=(i=i+Math.imul(I,mt)|0)+Math.imul(O,dt)|0))<<13)|0;c=((a=a+Math.imul(O,mt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var Ot=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(i=(i=i+Math.imul(D,mt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((a=a+Math.imul(R,mt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863;var zt=(c+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,mt))+Math.imul(N,dt)|0))<<13)|0;return c=((a=Math.imul(N,mt))+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863,l[0]=gt,l[1]=vt,l[2]=yt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=It,l[17]=Ot,l[18]=zt,0!==c&&(l[19]=c,r.length++),r};function m(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?d(this,t,e):r<63?p(this,t,e):r<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),c=Math.max(0,a-t.length+1);c<=l;c++){var u=a-c,f=(0|t.words[u])*(0|e.words[c]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):m(this,t,e)},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),c=Math.sin(2*Math.PI/s),u=0;u<i;u+=s)for(var f=l,h=c,p=0;p<o;p++){var d=r[u+p],m=n[u+p],g=r[u+p+o],v=n[u+p+o],y=f*g-h*v;v=f*v+h*g,g=y,r[u+p]=d+g,n[u+p]=m+v,r[u+p+o]=d-g,n[u+p+o]=m-v,p!==s&&(y=l*f-c*h,h=l*h+c*f,f=y)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),c=new Array(n),u=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,c,n),this.transform(o,a,s,l,n,i),this.transform(c,a,u,f,n,i);for(var p=0;p<n;p++){var d=s[p]*u[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*u[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),m(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n("number"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n("number"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n("number"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var c=0;c<o;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,c=0;c<this.length;c++)this.words[c]=this.words[c+o];else this.words[0]=0,this.length=1;var u=0;for(c=this.length-1;c>=0&&(0!==u||c>=i);c--){var f=0|this.words[c];this.words[c]=u<<26-a|f>>>a,u=f&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n("number"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r)&&!!(this.words[r]&i)},a.prototype.imaskn=function(t){n("number"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,"imaskn works only with positive numbers"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n("number"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n("number"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!==(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if("mod"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=n.clone()._ishlnsubmul(i,1,l);0===u.negative&&(n=u,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),"div"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),"mod"!==e&&(i=s.div.neg()),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),"mod"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?"div"===e?{div:this.divn(t.words[0]),mod:null}:"mod"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,"div",!1).div},a.prototype.mod=function(t){return this.divmod(t,"mod",!1).mod},a.prototype.umod=function(t){return this.divmod(t,"mod",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(u),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,m=1;0==(r.words[0]&m)&&d<26;++d,m<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n("number"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,"Number is too big");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,"Already a number in reduction context"),n(0===this.negative,"red works only with positives"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,"fromRed works only with numbers in reduction context"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,"Already a number in reduction 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t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return 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r=0;r<t;++r)if(!(e[r]<=e[r+t]))return!0;return!1}function l(t,e,r,n){for(var i=0,a=0,o=0,l=t.length;o<l;++o){var c=t[o];if(!s(e,c)){for(var u=0;u<2*e;++u)r[i++]=c[u];n[a++]=o}}return a}function c(t,e,r,n){var s=t.length,c=e.length;if(!(s<=0||c<=0)){var u=t[0].length>>>1;if(!(u<=0)){var f,h=i.mallocDouble(2*u*s),p=i.mallocInt32(s);if((s=l(t,u,h,p))>0){if(1===u&&n)a.init(s),f=a.sweepComplete(u,r,0,s,h,p,0,s,h,p);else{var d=i.mallocDouble(2*u*c),m=i.mallocInt32(c);(c=l(e,u,d,m))>0&&(a.init(s+c),f=1===u?a.sweepBipartite(u,r,0,s,h,p,0,c,d,m):o(u,r,n,s,h,p,c,d,m),i.free(d),i.free(m))}i.free(h),i.free(p)}return f}}}function u(t,e){n.push([t,e])}function f(t){return n=[],c(t,t,u,!0),n}function h(t,e){return n=[],c(t,e,u,!1),n}},{"./lib/intersect":37,"./lib/sweep":41,"typedarray-pool":308}],36:[function(t,e,r){"use strict";function n(t){return t?function(t,e,r,n,i,a,o,s,l,c,u){return i-n>l-s?function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=n,p=f*n;h<i;++h,p+=f){var 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f=e[e.length-2];f.left===r?f.left=null:f.right===r&&(f.right=null),e.pop();for(l=0;l<e.length;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(r.left||r.right){r.left?d(r,r.left):r.right&&d(r,r.right),r._color=1;for(l=0;l<e.length-1;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(1===e.length)return new s(this.tree._compare,null);for(l=0;l<e.length;++l)e[l]._count--;var h=e[e.length-2];return function(t){for(var e,r,n,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((r=t[l-1]).left===e){if((n=r.right).right&&0===n.right._color){if(s=(n=r.right=i(n)).right=i(n.right),r.right=n.left,n.left=r,n.right=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).left===r?c.left=n:c.right=n;return void(t[l-1]=n)}if(n.left&&0===n.left._color){if(s=(n=r.right=i(n)).left=i(n.left),r.right=s.left,n.left=s.right,s.left=r,s.right=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).left===r?c.left=s:c.right=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.right=a(0,n));r.right=a(0,n);continue}n=i(n),r.right=n.left,n.left=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).left===r?c.left=n:c.right=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((n=r.left).left&&0===n.left._color){if(s=(n=r.left=i(n)).left=i(n.left),r.left=n.right,n.right=r,n.left=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).right===r?c.right=n:c.left=n;return void(t[l-1]=n)}if(n.right&&0===n.right._color){if(s=(n=r.left=i(n)).right=i(n.right),r.left=s.right,n.right=s.left,s.right=r,s.left=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).right===r?c.right=s:c.left=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.left=a(0,n));r.left=a(0,n);continue}var c;n=i(n),r.left=n.right,n.right=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).right===r?c.right=n:c.left=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(e),h.left===r?h.left=null:h.right=null,new s(this.tree._compare,e[0])},Object.defineProperty(p,"key",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(p,"value",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(p,"index",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),p.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,"hasNext",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),p.update=function(t){var e=this._stack;if(0===e.length)throw new Error("Can't update empty node!");var r=new Array(e.length),i=e[e.length-1];r[r.length-1]=new n(i._color,i.key,t,i.left,i.right,i._count);for(var a=e.length-2;a>=0;--a)(i=e[a]).left===e[a+1]?r[a]=new n(i._color,i.key,i.value,r[a+1],i.right,i._count):r[a]=new n(i._color,i.key,i.value,i.left,r[a+1],i._count);return new s(this.tree._compare,r[0])},p.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,"hasPrev",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},{}],70:[function(t,e,r){"use strict";e.exports=function(t,e){var r=new u(t);return r.update(e),r};var n=t("./lib/text.js"),i=t("./lib/lines.js"),a=t("./lib/background.js"),o=t("./lib/cube.js"),s=t("./lib/ticks.js"),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function c(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function u(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=["sans-serif","sans-serif","sans-serif"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=["auto","auto","auto"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=["x","y","z"],this.labelEnable=[!0,!0,!0],this.labelFont="sans-serif",this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=["auto","auto","auto"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var f=u.prototype;function h(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}f.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),c=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),u=!1,f=!1;if("bounds"in t)for(var h=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)h[p][d]!==this.bounds[p][d]&&(f=!0),this.bounds[p][d]=h[p][d];if("ticks"in t){r=t.ticks,u=!0,this.autoTicks=!1;for(p=0;p<3;++p)this.tickSpacing[p]=0}else a("tickSpacing")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&("ticks"in t||"tickSpacing"in t||(this.autoTicks=!0),f=!0,u=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?u=!1:this.ticks=r}o("tickEnable"),l("tickFont")&&(u=!0),a("tickSize"),a("tickAngle"),a("tickPad"),c("tickColor");var m=l("labels");l("labelFont")&&(m=!0),o("labelEnable"),a("labelSize"),a("labelPad"),c("labelColor"),o("lineEnable"),o("lineMirror"),a("lineWidth"),c("lineColor"),o("lineTickEnable"),o("lineTickMirror"),a("lineTickLength"),a("lineTickWidth"),c("lineTickColor"),o("gridEnable"),a("gridWidth"),c("gridColor"),o("zeroEnable"),c("zeroLineColor"),a("zeroLineWidth"),o("backgroundEnable"),c("backgroundColor"),this._text?this._text&&(m||u)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var f=a,h=s,p=o,d=l;c&1<<u&&(f=s,h=a,p=l,d=o),f[u]=r[0][u],h[u]=r[1][u],i[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var m=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var v=[0,0,0],y=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,u=o(r,n,i,a,s),f=u.cubeEdges,h=u.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E=m;for(A=0;A<3;++A)this.backgroundEnable[A]?E[A]=h[A]:E[A]=0;this._background.draw(r,n,i,a,E,this.backgroundColor),this._lines.bind(r,n,i,this);for(A=0;A<3;++A){var L=[0,0,0];h[A]>0?L[A]=a[1][A]:L[A]=a[0][A];for(var C=0;C<2;++C){var P=(A+1+C)%3,I=(A+1+(1^C))%3;this.gridEnable[P]&&this._lines.drawGrid(P,I,this.bounds,L,this.gridColor[P],this.gridWidth[P]*this.pixelRatio)}for(C=0;C<2;++C){P=(A+1+C)%3,I=(A+1+(1^C))%3;this.zeroEnable[I]&&Math.min(a[0][I],a[1][I])<=0&&Math.max(a[0][I],a[1][I])>=0&&this._lines.drawZero(P,I,this.bounds,L,this.zeroLineColor[I],this.zeroLineWidth[I]*this.pixelRatio)}}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var O=c(v,M[A].primalMinor),z=c(y,M[A].mirrorMinor),D=this.lineTickLength;for(C=0;C<3;++C){var R=k/r[5*C];O[C]*=D[C]*R,z[C]*=D[C]*R}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,O,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio);var F,B;function N(t){(B=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,H=c(x,M[A].primalOffset);for(C=0;C<3;++C)this.lineTickEnable[A]&&(H[C]+=k*U[C]*Math.max(this.lineTickLength[C],0)/r[5*C]);var q=[0,0,0];if(q[A]=1,this.tickEnable[A]){-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]="auto"):this.tickAlign[A]=-1,F=1,"auto"===(S=[this.tickAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(""+S[0]),B=[0,0,0],j(A,U,V);for(C=0;C<3;++C)H[C]+=k*U[C]*this.tickPad[C]/r[5*C];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],H,this.tickColor[A],q,B,S)}if(this.labelEnable[A]){F=0,B=[0,0,0],this.labels[A].length>4&&(N(A),F=1),"auto"===(S=[this.labelAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(""+S[0]);for(C=0;C<3;++C)H[C]+=k*U[C]*this.labelPad[C]/r[5*C];H[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],H,this.labelColor[A],[0,0,0],B,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{"./lib/background.js":71,"./lib/cube.js":72,"./lib/lines.js":73,"./lib/text.js":75,"./lib/ticks.js":76}],71:[function(t,e,r){"use strict";e.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[c]=d;for(var m=-1;m<=1;m+=2)f[u]=m,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=c;c=u,u=g}var v=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:v,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:v,type:t.FLOAT,size:3,offset:12,stride:24}],y),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,v,x,b)};var n=t("gl-buffer"),i=t("gl-vao"),a=t("./shaders").bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{"./shaders":74,"gl-buffer":78,"gl-vao":150}],72:[function(t,e,r){"use strict";e.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=a[x][2];for(var b=0;b<2;++b){u[1]=a[b][1];for(var _=0;_<2;++_)u[0]=a[_][0],h(l[y],u,s),y+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)c[x][k]=l[x][k]/T;p&&(c[x][2]*=-1),T<0&&(w<0||c[x][2]<c[w][2])&&(w=x)}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=(O=C<<A)+(C<<M)+(1-C<<S),I=O+(1-C<<M)+(C<<S);o(c[O],c[P],c[I],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<A);else{for(C=0;C<2;++C){P=(O=C<<A)+(C<<M)+(1-C<<S),I=O+(1-C<<M)+(C<<S);var 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e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(c*h-u*f)}return o}var m=[1,1,1],g=[0,0,0],v={cubeEdges:m,axis:g}},{"bit-twiddle":32,"gl-mat4/multiply":100,"robust-orientation":284,"split-polygon":300}],73:[function(t,e,r){"use strict";e.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var m=+r[f][d].x;o.push(m,0,1,m,1,1,m,0,-1,m,0,-1,m,1,1,m,1,-1)}var g=o.length/3|0;s[f]=h,l[f]=g-h;h=o.length/3|0;for(var v=0;v<r[f].length;++v){m=+r[f][v].x;o.push(m,0,1,m,1,1,m,0,-1,m,0,-1,m,1,1,m,1,-1)}g=o.length/3|0;c[f]=h,u[f]=g-h}var y=n(t,new Float32Array(o)),x=i(t,[{buffer:y,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,y,x,b,l,s,u,c)};var n=t("gl-buffer"),i=t("gl-vao"),a=t("./shaders").line,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,u=h(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var u=f(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=h(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var m=f(l);m[t]=1,this.shader.uniforms.screenAxis=m,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=h(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{"./shaders":74,"gl-buffer":78,"gl-vao":150}],74:[function(t,e,r){"use strict";var n=t("glslify"),i=t("gl-shader"),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\nuniform float lineWidth;\nuniform vec2 screenShape;\n\nvec3 project(vec3 p) {\n  vec4 pp = projection * view * model * vec4(p, 1.0);\n  return pp.xyz / max(pp.w, 0.0001);\n}\n\nvoid main() {\n  vec3 major = position.x * majorAxis;\n  vec3 minor = position.y * minorAxis;\n\n  vec3 vPosition = major + minor + offset;\n  vec3 pPosition = project(vPosition);\n  vec3 offset = project(vPosition + screenAxis * position.z);\n\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\n\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = color;\n}"]);r.line=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"}])};var s=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\nuniform vec3 offset, axis, alignDir, alignOpt;\nuniform float scale, angle, pixelScale;\nuniform vec2 resolution;\n\nvec3 project(vec3 p) {\n  vec4 pp = projection * view * model * vec4(p, 1.0);\n  return pp.xyz / max(pp.w, 0.0001);\n}\n\nfloat computeViewAngle(vec3 a, vec3 b) {\n  vec3 A = project(a);\n  vec3 B = project(b);\n\n  return atan(\n    (B.y - A.y) * resolution.y,\n    (B.x - A.x) * resolution.x\n  );\n}\n\nconst float PI = 3.141592;\nconst float TWO_PI = 2.0 * PI;\nconst float HALF_PI = 0.5 * PI;\nconst float ONE_AND_HALF_PI = 1.5 * PI;\n\nint option = int(floor(alignOpt.x + 0.001));\nfloat hv_ratio =       alignOpt.y;\nbool enableAlign =    (alignOpt.z != 0.0);\n\nfloat mod_angle(float a) {\n  return mod(a, PI);\n}\n\nfloat positive_angle(float a) {\n  return mod_angle((a < 0.0) ?\n    a + TWO_PI :\n    a\n  );\n}\n\nfloat look_upwards(float a) {\n  float b = positive_angle(a);\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\n    b - PI :\n    b;\n}\n\nfloat look_horizontal_or_vertical(float a, float ratio) {\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\n  // if ratio is set to 0.5 then it is 50%, 50%.\n  // when using a higher ratio e.g. 0.75 the result would\n  // likely be more horizontal than vertical.\n\n  float b = positive_angle(a);\n\n  return\n    (b < (      ratio) * HALF_PI) ? 0.0 :\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\n    (b < (4.0 - ratio) * HALF_PI) ? 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HALF_PI :\n                      computeViewAngle(dataPosition, dataPosition + axis);\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\n\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\n\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\n\n    beta += applyAlignOption(clipAngle, flip * PI);\n  }\n\n  //Compute plane offset\n  vec2 planeCoord = position.xy * pixelScale;\n\n  mat2 planeXform = scale * mat2(\n     cos(beta), sin(beta),\n    -sin(beta), cos(beta)\n  );\n\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\n\n  //Compute clip position\n  vec3 clipPosition = project(dataPosition);\n\n  //Apply text offset in clip coordinates\n  clipPosition += vec3(viewOffset, 0.0);\n\n  //Done\n  gl_Position = vec4(clipPosition, 1.0);\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = color;\n}"]);r.text=function(t){return i(t,s,l,null,[{name:"position",type:"vec3"}])};var c=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec3 normal;\n\nuniform mat4 model, view, projection;\nuniform vec3 enable;\nuniform vec3 bounds[2];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\n\n  vec3 realNormal = signAxis * normal;\n\n  if(dot(realNormal, enable) > 0.0) {\n    vec3 minRange = min(bounds[0], bounds[1]);\n    vec3 maxRange = max(bounds[0], bounds[1]);\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\n  } else {\n    gl_Position = vec4(0,0,0,0);\n  }\n\n  colorChannel = abs(realNormal);\n}"]),u=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 colors[3];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n  gl_FragColor = colorChannel.x * colors[0] +\n                 colorChannel.y * colors[1] +\n                 colorChannel.z * colors[2];\n}"]);r.bg=function(t){return i(t,c,u,null,[{name:"position",type:"vec3"},{name:"normal",type:"vec3"}])}},{"gl-shader":132,glslify:231}],75:[function(t,e,r){(function(r){(function(){"use strict";e.exports=function(t,e,r,a,s,l){var u=n(t),f=i(t,[{buffer:u,size:3}]),h=o(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,a,s,l),p};var n=t("gl-buffer"),i=t("gl-vao"),a=t("vectorize-text"),o=t("./shaders").text,s=window||r.global||{},l=s.__TEXT_CACHE||{};s.__TEXT_CACHE={};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var u=c.prototype,f=[0,0];u.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,f[0]=this.gl.drawingBufferWidth,f[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=f},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,r,n,i){var o=[];function s(t,e,r,n,i,s){var c=l[r];c||(c=l[r]={});var u=c[e];u||(u=c[e]=function(t,e){try{return a(t,e)}catch(e){return console.warn('error vectorizing text:"'+t+'" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:"center",textBaseline:"middle",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=u.positions,p=u.cells,d=0,m=p.length;d<m;++d)for(var g=p[d],v=2;v>=0;--v){var y=h[g[v]];o.push(f*y[0],-f*y[1],t)}}for(var c=[0,0,0],u=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=o.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(o.length/3|0)-f[d],c[d]=o.length/3|0;for(var m=0;m<n[d].length;++m)n[d][m].text&&s(n[d][m].x,n[d][m].text,n[d][m].font||i,n[d][m].fontSize||12,1.25,p);u[d]=(o.length/3|0)-c[d]}this.buffer.update(o),this.tickOffset=c,this.tickCount=u,this.labelOffset=f,this.labelCount=h},u.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},u.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},u.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this)}).call(this,t("_process"))},{"./shaders":74,_process:5,"gl-buffer":78,"gl-vao":150,"vectorize-text":311}],76:[function(t,e,r){"use strict";function n(t,e){var r=t+"",n=r.indexOf("."),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+"";if(s.indexOf("e")>=0)return s;var l=o/a,c=o%a;o<0?(l=0|-Math.ceil(l),c=0|-c):(l=0|Math.floor(l),c|=0);var u=""+l;if(o<0&&(u="-"+u),i){for(var f=""+c;f.length<i;)f="0"+f;return u+"."+f}return u}r.create=function(t,e){for(var r=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:n(e[i],o)});for(o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:n(e[i],o)});r.push(a)}return r},r.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}},{}],77:[function(t,e,r){"use strict";e.exports=function(t,e,r,l,f){var h=e.model||c,p=e.view||c,v=e.projection||c,y=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,v,x,y)).axis;o(u,p,h),o(u,v,u);for(var _=m,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(u,u));s(u,u);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=g;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var L=0;L<2;++L){S[A]=x[L^w][A];for(var C=0;C<2;++C)S[M]=x[C^L^w][M],E.push(S.slice())}var P=y?5:4;for(L=P;L===P;++L){if(0===E.length)continue t;E=i.positive(E,T[L])}for(L=0;L<E.length;++L){M=E[L];var I=d(g,u,M,r,l);for(C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,M[C]),_[C].hi=Math.max(_[C].hi,M[C]),C!==k&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(I[C])))}}}}return _};var n=t("extract-frustum-planes"),i=t("split-polygon"),a=t("./lib/cube.js"),o=t("gl-mat4/multiply"),s=t("gl-mat4/transpose"),l=t("gl-vec4/transformMat4"),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(u*u+f*f)}return t}var m=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],g=[0,0,0]},{"./lib/cube.js":72,"extract-frustum-planes":67,"gl-mat4/multiply":100,"gl-mat4/transpose":109,"gl-vec4/transformMat4":221,"split-polygon":300}],78:[function(t,e,r){"use strict";var n=t("typedarray-pool"),i=t("ndarray-ops"),a=t("ndarray"),o=["uint8","uint8_clamped","uint16","uint32","int8","int16","int32","float32"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function c(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error("gl-buffer: If resizing buffer, must not specify offset");return t.bufferSubData(e,a,i),r}function u(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if("number"!=typeof e&&(e=-1),this.bind(),"object"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r="float32"),this.type===this.gl.ELEMENT_ARRAY_BUFFER)r=gl.getExtension("OES_element_index_uint")&&"uint16"!==r?"uint32":"uint16";if(r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,"uint16"):u(t,"float32"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if("object"==typeof t&&"number"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else{if("number"!=typeof t&&void 0!==t)throw new Error("gl-buffer: Invalid data type");if(e>=0)throw new Error("gl-buffer: Cannot specify offset when resizing buffer");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error("gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error("gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},{ndarray:259,"ndarray-ops":254,"typedarray-pool":308}],79:[function(t,e,r){"use strict";var n=t("gl-vec3");e.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,f=1/0,h=-1/0,p=null,d=null,m=[],g=1/0,v=!1,y=0;y<r.length;y++){var x=r[y];s=Math.min(x[0],s),l=Math.max(x[0],l),c=Math.min(x[1],c),u=Math.max(x[1],u),f=Math.min(x[2],f),h=Math.max(x[2],h);var b=i[y];if(n.length(b)>o&&(o=n.length(b)),y){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),v=!1):v=!0}v||(p=x,d=b),m.push(b)}var w=[s,c,f],T=[l,u,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(g)||(g=1),a.vectorScale=g;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A;y=0;for(var M=0;y<r.length;y++)for(var S=(x=r[y])[0],E=x[1],L=x[2],C=m[y],P=n.length(C)*k,I=0;I<8;I++){a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var O=a.positions.length;a.cells.push([O-6,O-5,O-4],[O-3,O-2,O-1])}return a};var i=t("./lib/shaders");e.exports.createMesh=t("./create_mesh"),e.exports.createConeMesh=function(t,r){return e.exports.createMesh(t,r,{shaders:i,traceType:"cone"})}},{"./create_mesh":80,"./lib/shaders":81,"gl-vec3":169}],80:[function(t,e,r){"use strict";var n=t("gl-shader"),i=t("gl-buffer"),a=t("gl-vao"),o=t("gl-texture2d"),s=t("gl-mat4/multiply"),l=t("gl-mat4/invert"),c=t("ndarray"),u=t("colormap"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,c,u){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;function d(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}function m(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,"lightPosition"in t&&(this.lightPosition=t.lightPosition),"opacity"in t&&(this.opacity=t.opacity),"ambient"in t&&(this.ambientLight=t.ambient),"diffuse"in t&&(this.diffuseLight=t.diffuse),"specular"in t&&(this.specularLight=t.specular),"roughness"in t&&(this.roughness=t.roughness),"fresnel"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=u({colormap:t,nshades:256,format:"rgba"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,m=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],m=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var v=p[g];d=Math.min(d,v),m=Math.max(m,v)}else for(g=0;g<n.length;++g){v=n[g][2];d=Math.min(d,v),m=Math.max(m,v)}this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(g=0;g<n.length;++g)for(var y=n[g],x=0;x<3;++x)!isNaN(y[x])&&isFinite(y[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],y[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],y[x]));var b=0;t:for(g=0;g<r.length;++g){var _=r[g];switch(_.length){case 3:for(x=0;x<3;++x){y=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(y[w])||!isFinite(y[w]))continue t}for(x=0;x<3;++x){var T;y=n[T=_[2-x]];a.push(y[0],y[1],y[2],y[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=h;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),A=p?[(p[T]-d)/(m-d),0]:[(y[2]-d)/(m-d),0],l.push(A[0],A[1]),f.push(g)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var c={model:r,view:n,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};c.inverseModel=l(c.inverseModel,c.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);s(u,c.view,c.model),s(u,c.projection,u),l(u,u);for(o=0;o<3;++o)c.eyePosition[o]=u[12+o]/u[15];var h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];c.lightPosition[o]=p/h}if(this.triangleCount>0){var m=this.triShader;m.bind(),m.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return"cone"===this.traceType?i.index=Math.floor(r[1]/48):"streamtube"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},e.exports=function(t,e,r){var n=r.shaders;1===arguments.length&&(t=(e=t).gl);var s=d(t,n),l=m(t,n),u=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));u.generateMipmap(),u.minFilter=t.LINEAR_MIPMAP_LINEAR,u.magFilter=t.LINEAR;var f=i(t),p=i(t),g=i(t),v=i(t),y=i(t),x=a(t,[{buffer:f,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:4}]),b=new h(t,u,s,l,f,p,y,g,v,x,r.traceType||"cone");return b.update(e),b}},{colormap:53,"gl-buffer":78,"gl-mat4/invert":98,"gl-mat4/multiply":100,"gl-shader":132,"gl-texture2d":146,"gl-vao":150,ndarray:259}],81:[function(t,e,r){var n=t("glslify"),i=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n//   segment + 0 top vertex\n//   segment + 1 perimeter vertex a+1\n//   segment + 2 perimeter vertex a\n//   segment + 3 center base vertex\n//   segment + 4 perimeter vertex a\n//   segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n  const float segmentCount = 8.0;\n\n  float index = rawIndex - floor(rawIndex /\n    (segmentCount * 6.0)) *\n    (segmentCount * 6.0);\n\n  float segment = floor(0.001 + index/6.0);\n  float segmentIndex = index - (segment*6.0);\n\n  normal = -normalize(d);\n\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n    return mix(vec3(0.0), -d, coneOffset);\n  }\n\n  float nextAngle = (\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\n  ) ? 1.0 : 0.0;\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\n  vec3 v2 = v1 - d;\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d)*0.25;\n  vec3 y = v * sin(angle) * length(d)*0.25;\n  vec3 v3 = v2 + x + y;\n  if (segmentIndex < 3.0) {\n    vec3 tx = u * sin(angle);\n    vec3 ty = v * -cos(angle);\n    vec3 tangent = tx + ty;\n    normal = normalize(cross(v3 - v1, tangent));\n  }\n\n  if (segmentIndex == 0.0) {\n    return mix(d, vec3(0.0), coneOffset);\n  }\n  return v3;\n}\n\nattribute vec3 vector;\nattribute vec4 color, position;\nattribute vec2 uv;\n\nuniform float vectorScale, coneScale, coneOffset;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 eyePosition, lightPosition;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  // Scale the vector magnitude to stay constant with\n  // model & view changes.\n  vec3 normal;\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * conePosition;\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\n  vec4 t_position  = view * conePosition;\n  gl_Position      = projection * t_position;\n\n  f_color          = color;\n  f_data           = conePosition.xyz;\n  f_position       = position.xyz;\n  f_uv             = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness,\n  float fresnel) {\n\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n  //Half angle vector\n  vec3 H = normalize(lightDirection + viewDirection);\n\n  //Geometric term\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\n  float VdotH = max(dot(viewDirection, H), 0.000001);\n  float LdotH = max(dot(lightDirection, H), 0.000001);\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n  float G = min(1.0, min(G1, G2));\n  \n  //Distribution term\n  float D = beckmannDistribution(NdotH, roughness);\n\n  //Fresnel term\n  float F = pow(1.0 - VdotN, fresnel);\n\n  //Multiply terms and done\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n  vec3 N = normalize(f_normal);\n  vec3 L = normalize(f_lightDirection);\n  vec3 V = normalize(f_eyeDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n//   segment + 0 top vertex\n//   segment + 1 perimeter vertex a+1\n//   segment + 2 perimeter vertex a\n//   segment + 3 center base vertex\n//   segment + 4 perimeter vertex a\n//   segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n  const float segmentCount = 8.0;\n\n  float index = rawIndex - floor(rawIndex /\n    (segmentCount * 6.0)) *\n    (segmentCount * 6.0);\n\n  float segment = floor(0.001 + index/6.0);\n  float segmentIndex = index - (segment*6.0);\n\n  normal = -normalize(d);\n\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n    return mix(vec3(0.0), -d, coneOffset);\n  }\n\n  float nextAngle = (\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\n  ) ? 1.0 : 0.0;\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\n  vec3 v2 = v1 - d;\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d)*0.25;\n  vec3 y = v * sin(angle) * length(d)*0.25;\n  vec3 v3 = v2 + x + y;\n  if (segmentIndex < 3.0) {\n    vec3 tx = u * sin(angle);\n    vec3 ty = v * -cos(angle);\n    vec3 tangent = tx + ty;\n    normal = normalize(cross(v3 - v1, tangent));\n  }\n\n  if (segmentIndex == 0.0) {\n    return mix(d, vec3(0.0), coneOffset);\n  }\n  return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float vectorScale, coneScale, coneOffset;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  vec3 normal;\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n  gl_Position = projection * view * conePosition;\n  f_id        = id;\n  f_position  = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec3"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec3"}]}},{glslify:231}],82:[function(t,e,r){e.exports={0:"NONE",1:"ONE",2:"LINE_LOOP",3:"LINE_STRIP",4:"TRIANGLES",5:"TRIANGLE_STRIP",6:"TRIANGLE_FAN",256:"DEPTH_BUFFER_BIT",512:"NEVER",513:"LESS",514:"EQUAL",515:"LEQUAL",516:"GREATER",517:"NOTEQUAL",518:"GEQUAL",519:"ALWAYS",768:"SRC_COLOR",769:"ONE_MINUS_SRC_COLOR",770:"SRC_ALPHA",771:"ONE_MINUS_SRC_ALPHA",772:"DST_ALPHA",773:"ONE_MINUS_DST_ALPHA",774:"DST_COLOR",775:"ONE_MINUS_DST_COLOR",776:"SRC_ALPHA_SATURATE",1024:"STENCIL_BUFFER_BIT",1028:"FRONT",1029:"BACK",1032:"FRONT_AND_BACK",1280:"INVALID_ENUM",1281:"INVALID_VALUE",1282:"INVALID_OPERATION",1285:"OUT_OF_MEMORY",1286:"INVALID_FRAMEBUFFER_OPERATION",2304:"CW",2305:"CCW",2849:"LINE_WIDTH",2884:"CULL_FACE",2885:"CULL_FACE_MODE",2886:"FRONT_FACE",2928:"DEPTH_RANGE",2929:"DEPTH_TEST",2930:"DEPTH_WRITEMASK",2931:"DEPTH_CLEAR_VALUE",2932:"DEPTH_FUNC",2960:"STENCIL_TEST",2961:"STENCIL_CLEAR_VALUE",2962:"STENCIL_FUNC",2963:"STENCIL_VALUE_MASK",2964:"STENCIL_FAIL",2965:"STENCIL_PASS_DEPTH_FAIL",2966:"STENCIL_PASS_DEPTH_PASS",2967:"STENCIL_REF",2968:"STENCIL_WRITEMASK",2978:"VIEWPORT",3024:"DITHER",3042:"BLEND",3088:"SCISSOR_BOX",3089:"SCISSOR_TEST",3106:"COLOR_CLEAR_VALUE",3107:"COLOR_WRITEMASK",3317:"UNPACK_ALIGNMENT",3333:"PACK_ALIGNMENT",3379:"MAX_TEXTURE_SIZE",3386:"MAX_VIEWPORT_DIMS",3408:"SUBPIXEL_BITS",3410:"RED_BITS",3411:"GREEN_BITS",3412:"BLUE_BITS",3413:"ALPHA_BITS",3414:"DEPTH_BITS",3415:"STENCIL_BITS",3553:"TEXTURE_2D",4352:"DONT_CARE",4353:"FASTEST",4354:"NICEST",5120:"BYTE",5121:"UNSIGNED_BYTE",5122:"SHORT",5123:"UNSIGNED_SHORT",5124:"INT",5125:"UNSIGNED_INT",5126:"FLOAT",5386:"INVERT",5890:"TEXTURE",6401:"STENCIL_INDEX",6402:"DEPTH_COMPONENT",6406:"ALPHA",6407:"RGB",6408:"RGBA",6409:"LUMINANCE",6410:"LUMINANCE_ALPHA",7680:"KEEP",7681:"REPLACE",7682:"INCR",7683:"DECR",7936:"VENDOR",7937:"RENDERER",7938:"VERSION",9728:"NEAREST",9729:"LINEAR",9984:"NEAREST_MIPMAP_NEAREST",9985:"LINEAR_MIPMAP_NEAREST",9986:"NEAREST_MIPMAP_LINEAR",9987:"LINEAR_MIPMAP_LINEAR",10240:"TEXTURE_MAG_FILTER",10241:"TEXTURE_MIN_FILTER",10242:"TEXTURE_WRAP_S",10243:"TEXTURE_WRAP_T",10497:"REPEAT",10752:"POLYGON_OFFSET_UNITS",16384:"COLOR_BUFFER_BIT",32769:"CONSTANT_COLOR",32770:"ONE_MINUS_CONSTANT_COLOR",32771:"CONSTANT_ALPHA",32772:"ONE_MINUS_CONSTANT_ALPHA",32773:"BLEND_COLOR",32774:"FUNC_ADD",32777:"BLEND_EQUATION_RGB",32778:"FUNC_SUBTRACT",32779:"FUNC_REVERSE_SUBTRACT",32819:"UNSIGNED_SHORT_4_4_4_4",32820:"UNSIGNED_SHORT_5_5_5_1",32823:"POLYGON_OFFSET_FILL",32824:"POLYGON_OFFSET_FACTOR",32854:"RGBA4",32855:"RGB5_A1",32873:"TEXTURE_BINDING_2D",32926:"SAMPLE_ALPHA_TO_COVERAGE",32928:"SAMPLE_COVERAGE",32936:"SAMPLE_BUFFERS",32937:"SAMPLES",32938:"SAMPLE_COVERAGE_VALUE",32939:"SAMPLE_COVERAGE_INVERT",32968:"BLEND_DST_RGB",32969:"BLEND_SRC_RGB",32970:"BLEND_DST_ALPHA",32971:"BLEND_SRC_ALPHA",33071:"CLAMP_TO_EDGE",33170:"GENERATE_MIPMAP_HINT",33189:"DEPTH_COMPONENT16",33306:"DEPTH_STENCIL_ATTACHMENT",33635:"UNSIGNED_SHORT_5_6_5",33648:"MIRRORED_REPEAT",33901:"ALIASED_POINT_SIZE_RANGE",33902:"ALIASED_LINE_WIDTH_RANGE",33984:"TEXTURE0",33985:"TEXTURE1",33986:"TEXTURE2",33987:"TEXTURE3",33988:"TEXTURE4",33989:"TEXTURE5",33990:"TEXTURE6",33991:"TEXTURE7",33992:"TEXTURE8",33993:"TEXTURE9",33994:"TEXTURE10",33995:"TEXTURE11",33996:"TEXTURE12",33997:"TEXTURE13",33998:"TEXTURE14",33999:"TEXTURE15",34e3:"TEXTURE16",34001:"TEXTURE17",34002:"TEXTURE18",34003:"TEXTURE19",34004:"TEXTURE20",34005:"TEXTURE21",34006:"TEXTURE22",34007:"TEXTURE23",34008:"TEXTURE24",34009:"TEXTURE25",34010:"TEXTURE26",34011:"TEXTURE27",34012:"TEXTURE28",34013:"TEXTURE29",34014:"TEXTURE30",34015:"TEXTURE31",34016:"ACTIVE_TEXTURE",34024:"MAX_RENDERBUFFER_SIZE",34041:"DEPTH_STENCIL",34055:"INCR_WRAP",34056:"DECR_WRAP",34067:"TEXTURE_CUBE_MAP",34068:"TEXTURE_BINDING_CUBE_MAP",34069:"TEXTURE_CUBE_MAP_POSITIVE_X",34070:"TEXTURE_CUBE_MAP_NEGATIVE_X",34071:"TEXTURE_CUBE_MAP_POSITIVE_Y",34072:"TEXTURE_CUBE_MAP_NEGATIVE_Y",34073:"TEXTURE_CUBE_MAP_POSITIVE_Z",34074:"TEXTURE_CUBE_MAP_NEGATIVE_Z",34076:"MAX_CUBE_MAP_TEXTURE_SIZE",34338:"VERTEX_ATTRIB_ARRAY_ENABLED",34339:"VERTEX_ATTRIB_ARRAY_SIZE",34340:"VERTEX_ATTRIB_ARRAY_STRIDE",34341:"VERTEX_ATTRIB_ARRAY_TYPE",34342:"CURRENT_VERTEX_ATTRIB",34373:"VERTEX_ATTRIB_ARRAY_POINTER",34466:"NUM_COMPRESSED_TEXTURE_FORMATS",34467:"COMPRESSED_TEXTURE_FORMATS",34660:"BUFFER_SIZE",34661:"BUFFER_USAGE",34816:"STENCIL_BACK_FUNC",34817:"STENCIL_BACK_FAIL",34818:"STENCIL_BACK_PASS_DEPTH_FAIL",34819:"STENCIL_BACK_PASS_DEPTH_PASS",34877:"BLEND_EQUATION_ALPHA",34921:"MAX_VERTEX_ATTRIBS",34922:"VERTEX_ATTRIB_ARRAY_NORMALIZED",34930:"MAX_TEXTURE_IMAGE_UNITS",34962:"ARRAY_BUFFER",34963:"ELEMENT_ARRAY_BUFFER",34964:"ARRAY_BUFFER_BINDING",34965:"ELEMENT_ARRAY_BUFFER_BINDING",34975:"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING",35040:"STREAM_DRAW",35044:"STATIC_DRAW",35048:"DYNAMIC_DRAW",35632:"FRAGMENT_SHADER",35633:"VERTEX_SHADER",35660:"MAX_VERTEX_TEXTURE_IMAGE_UNITS",35661:"MAX_COMBINED_TEXTURE_IMAGE_UNITS",35663:"SHADER_TYPE",35664:"FLOAT_VEC2",35665:"FLOAT_VEC3",35666:"FLOAT_VEC4",35667:"INT_VEC2",35668:"INT_VEC3",35669:"INT_VEC4",35670:"BOOL",35671:"BOOL_VEC2",35672:"BOOL_VEC3",35673:"BOOL_VEC4",35674:"FLOAT_MAT2",35675:"FLOAT_MAT3",35676:"FLOAT_MAT4",35678:"SAMPLER_2D",35680:"SAMPLER_CUBE",35712:"DELETE_STATUS",35713:"COMPILE_STATUS",35714:"LINK_STATUS",35715:"VALIDATE_STATUS",35716:"INFO_LOG_LENGTH",35717:"ATTACHED_SHADERS",35718:"ACTIVE_UNIFORMS",35719:"ACTIVE_UNIFORM_MAX_LENGTH",35720:"SHADER_SOURCE_LENGTH",35721:"ACTIVE_ATTRIBUTES",35722:"ACTIVE_ATTRIBUTE_MAX_LENGTH",35724:"SHADING_LANGUAGE_VERSION",35725:"CURRENT_PROGRAM",36003:"STENCIL_BACK_REF",36004:"STENCIL_BACK_VALUE_MASK",36005:"STENCIL_BACK_WRITEMASK",36006:"FRAMEBUFFER_BINDING",36007:"RENDERBUFFER_BINDING",36048:"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE",36049:"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME",36050:"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL",36051:"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE",36053:"FRAMEBUFFER_COMPLETE",36054:"FRAMEBUFFER_INCOMPLETE_ATTACHMENT",36055:"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT",36057:"FRAMEBUFFER_INCOMPLETE_DIMENSIONS",36061:"FRAMEBUFFER_UNSUPPORTED",36064:"COLOR_ATTACHMENT0",36096:"DEPTH_ATTACHMENT",36128:"STENCIL_ATTACHMENT",36160:"FRAMEBUFFER",36161:"RENDERBUFFER",36162:"RENDERBUFFER_WIDTH",36163:"RENDERBUFFER_HEIGHT",36164:"RENDERBUFFER_INTERNAL_FORMAT",36168:"STENCIL_INDEX8",36176:"RENDERBUFFER_RED_SIZE",36177:"RENDERBUFFER_GREEN_SIZE",36178:"RENDERBUFFER_BLUE_SIZE",36179:"RENDERBUFFER_ALPHA_SIZE",36180:"RENDERBUFFER_DEPTH_SIZE",36181:"RENDERBUFFER_STENCIL_SIZE",36194:"RGB565",36336:"LOW_FLOAT",36337:"MEDIUM_FLOAT",36338:"HIGH_FLOAT",36339:"LOW_INT",36340:"MEDIUM_INT",36341:"HIGH_INT",36346:"SHADER_COMPILER",36347:"MAX_VERTEX_UNIFORM_VECTORS",36348:"MAX_VARYING_VECTORS",36349:"MAX_FRAGMENT_UNIFORM_VECTORS",37440:"UNPACK_FLIP_Y_WEBGL",37441:"UNPACK_PREMULTIPLY_ALPHA_WEBGL",37442:"CONTEXT_LOST_WEBGL",37443:"UNPACK_COLORSPACE_CONVERSION_WEBGL",37444:"BROWSER_DEFAULT_WEBGL"}},{}],83:[function(t,e,r){var n=t("./1.0/numbers");e.exports=function(t){return n[t]}},{"./1.0/numbers":82}],84:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e),o=i(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),l=a(e);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var c=new s(e,r,o,l);return c.update(t),c};var n=t("gl-buffer"),i=t("gl-vao"),a=t("./shaders/index"),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var l=s.prototype;function c(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,i=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],s=n[13],l=n[14],c=n[15],u=(t._ortho||!1?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*c)/e.drawingBufferHeight;this.vao.bind();for(var f=0;f<3;++f)e.lineWidth(this.lineWidth[f]*this.pixelRatio),r.capSize=this.capSize[f]*u,this.lineCount[f]&&e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var u=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=[0,0,0];a[(n+e)%3]=i,r.push(a)}t[e]=r}return t}();function f(t,e,r,n){for(var i=u[n],a=0;a<i.length;++a){var o=i[a];t.push(e[0],e[1],e[2],r[0],r[1],r[2],r[3],o[0],o[1],o[2])}return i.length}l.update=function(t){"lineWidth"in(t=t||{})&&(this.lineWidth=t.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),"capSize"in t&&(this.capSize=t.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),this.hasAlpha=!1,"opacity"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var e=t.color||[[0,0,0],[0,0,0],[0,0,0]],r=t.position,n=t.error;if(Array.isArray(e[0])||(e=[e,e,e]),r&&n){var i=[],a=r.length,o=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var s=0;s<3;++s){this.lineOffset[s]=o;t:for(var l=0;l<a;++l){for(var u=r[l],h=0;h<3;++h)if(isNaN(u[h])||!isFinite(u[h]))continue t;var p=n[l],d=e[s];if(Array.isArray(d[0])&&(d=e[l]),3===d.length?d=[d[0],d[1],d[2],1]:4===d.length&&(d=[d[0],d[1],d[2],d[3]],!this.hasAlpha&&d[3]<1&&(this.hasAlpha=!0)),!isNaN(p[0][s])&&!isNaN(p[1][s])){var m;if(p[0][s]<0)(m=u.slice())[s]+=p[0][s],i.push(u[0],u[1],u[2],d[0],d[1],d[2],d[3],0,0,0,m[0],m[1],m[2],d[0],d[1],d[2],d[3],0,0,0),c(this.bounds,m),o+=2+f(i,m,d,s);if(p[1][s]>0)(m=u.slice())[s]+=p[1][s],i.push(u[0],u[1],u[2],d[0],d[1],d[2],d[3],0,0,0,m[0],m[1],m[2],d[0],d[1],d[2],d[3],0,0,0),c(this.bounds,m),o+=2+f(i,m,d,s)}}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(i)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},{"./shaders/index":85,"gl-buffer":78,"gl-vao":150}],85:[function(t,e,r){"use strict";var n=t("glslify"),i=t("gl-shader"),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, offset;\nattribute vec4 color;\nuniform mat4 model, view, projection;\nuniform float capSize;\nvarying vec4 fragColor;\nvarying vec3 fragPosition;\n\nvoid main() {\n  vec4 worldPosition  = model * vec4(position, 1.0);\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\n  gl_Position         = projection * view * worldPosition;\n  fragColor           = color;\n  fragPosition        = position;\n}"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float opacity;\nvarying vec3 fragPosition;\nvarying vec4 fragColor;\n\nvoid main() {\n  if (\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\n    fragColor.a * opacity == 0.\n  ) discard;\n\n  gl_FragColor = opacity * fragColor;\n}"]);e.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"offset",type:"vec3"}])}},{"gl-shader":132,glslify:231}],86:[function(t,e,r){"use strict";var n=t("gl-texture2d");e.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var c=t.getExtension("WEBGL_draw_buffers");!l&&c&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(a=n;a<r;++a)i[a]=t.NONE;l[n]=i}}(t,c);Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]);if("number"!=typeof e)throw new Error("gl-fbo: Missing shape parameter");var u=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>u||r<0||r>u)throw new Error("gl-fbo: Parameters are too large for FBO");var f=1;if("color"in(n=n||{})){if((f=Math.max(0|n.color,0))<0)throw new Error("gl-fbo: Must specify a nonnegative number of colors");if(f>1){if(!c)throw new Error("gl-fbo: Multiple draw buffer extension not supported");if(f>t.getParameter(c.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error("gl-fbo: Context does not support "+f+" draw buffers")}}var h=t.UNSIGNED_BYTE,p=t.getExtension("OES_texture_float");if(n.float&&f>0){if(!p)throw new Error("gl-fbo: Context does not support floating point textures");h=t.FLOAT}else n.preferFloat&&f>0&&p&&(h=t.FLOAT);var m=!0;"depth"in n&&(m=!!n.depth);var g=!1;"stencil"in n&&(g=!!n.stencil);return new d(t,e,r,h,f,m,g,c)};var i,a,o,s,l=null;function c(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function u(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error("gl-fbo: Framebuffer unsupported");case a:throw new Error("gl-fbo: Framebuffer incomplete attachment");case o:throw new Error("gl-fbo: Framebuffer incomplete dimensions");case s:throw new Error("gl-fbo: Framebuffer incomplete missing attachment");default:throw new Error("gl-fbo: Framebuffer failed for unspecified reason")}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var m=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return m._shape[0]},set:function(t){return m.width=t}},1:{get:function(){return m._shape[1]},set:function(t){return m.height=t}}}),this._shapeVector=g,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,m=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var v=0;v<o;++v)t.color[v]=h(r,i,a,g,r.RGBA,r.COLOR_ATTACHMENT0+v);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var y=r.getExtension("WEBGL_depth_texture");y?d?t.depth=h(r,i,a,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):m&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):m&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):m?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null);for(v=0;v<t.color.length;++v)t.color[v].dispose(),t.color[v]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),f(x)}u(r,e)}(this)}var m=d.prototype;function g(t,e,r){if(t._destroyed)throw new Error("gl-fbo: Can't resize destroyed FBO");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error("gl-fbo: Can't resize FBO, invalid dimensions");t._shape[0]=e,t._shape[1]=r;for(var a=c(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),u(n,a),f(s)),u(n,a)}}Object.defineProperties(m,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error("gl-fbo: Shape vector must be length 2");var e=0|t[0],r=0|t[1];return g(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,g(this,this._shape[0],t),t},enumerable:!1}}),m.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},m.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{"gl-texture2d":146}],87:[function(t,e,r){var n=t("sprintf-js").sprintf,i=t("gl-constants/lookup"),a=t("glsl-shader-name"),o=t("add-line-numbers");e.exports=function(t,e,r){"use strict";var s=a(e)||"of unknown name (see npm glsl-shader-name)",l="unknown type";void 0!==r&&(l=r===i.FRAGMENT_SHADER?"fragment":"vertex");for(var c=n("Error compiling %s shader %s:\n",l,s),u=n("%s%s",c,t),f=t.split("\n"),h={},p=0;p<f.length;p++){var d=f[p];if(""!==d&&"\0"!==d){var m=parseInt(d.split(":")[2]);if(isNaN(m))throw new Error(n("Could not parse error: %s",d));h[m]=d}}var g=o(e).split("\n");for(p=0;p<g.length;p++)if(h[p+3]||h[p+2]||h[p+1]){var v=g[p];if(c+=v+"\n",h[p+1]){var y=h[p+1];y=y.substr(y.split(":",3).join(":").length+1).trim(),c+=n("^^^ %s\n\n",y)}}return{long:c.trim(),short:u.trim()}}},{"add-line-numbers":9,"gl-constants/lookup":83,"glsl-shader-name":223,"sprintf-js":301}],88:[function(t,e,r){"use strict";e.exports=function(t,e){var r=t.gl,n=o(r,l.vertex,l.fragment),i=o(r,l.pickVertex,l.pickFragment),a=s(r),u=s(r),f=s(r),h=s(r),p=new c(t,n,i,a,u,f,h);return p.update(e),t.addObject(p),p};var n=t("binary-search-bounds"),i=t("iota-array"),a=t("typedarray-pool"),o=t("gl-shader"),s=t("gl-buffer"),l=t("./lib/shaders");function c(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var u,f=c.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(u=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],c=a[3]-a[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-a[0])/l-1,u[7]=2*(r[1]-a[1])/c-1,e.bind();var f=e.uniforms;f.viewTransform=u,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=a[2]-a[0],u=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*c/f,t[4]=2*u/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var m=i.attributes;return this.positionBuffer.bind(),m.position.pointer(),this.weightBuffer.bind(),m.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),m.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var c,u,f,p,d=t.colorLevels||[0],m=t.colorValues||[0,0,0,1],g=d.length,v=this.bounds;l?(c=v[0]=r[0],u=v[1]=o[0],f=v[2]=r[r.length-1],p=v[3]=o[o.length-1]):(c=v[0]=r[0]+(r[1]-r[0])/2,u=v[1]=o[0]+(o[1]-o[0])/2,f=v[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=v[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var y=1/(f-c),x=1/(p-u),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var P,I;l?(P=x*(o[C]-u),I=x*(o[C+1]-u)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-u):x*(o[C]-(o[C]-o[C-1])/2-u),I=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-u):x*(o[C]+(o[C]-o[C-1])/2-u));for(var O=0;O<E;++O){var z,D;l?(z=y*(r[O]-c),D=y*(r[O+1]-c)):(z=O<b-1?y*(r[O]-(r[O+1]-r[O])/2-c):y*(r[O]-(r[O]-r[O-1])/2-c),D=O<b-1?y*(r[O]+(r[O+1]-r[O])/2-c):y*(r[O]+(r[O]-r[O-1])/2-c));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],H=s[l?(C+V)*b+(O+U):C*b+O],q=n.le(d,H);if(q<0)F=m[0],B=m[1],N=m[2],j=m[3];else if(q===g-1)F=m[4*g-4],B=m[4*g-3],N=m[4*g-2],j=m[4*g-1];else{var G=(H-d[q])/(d[q+1]-d[q]),Y=1-G,W=4*q,Z=4*(q+1);F=Y*m[W]+G*m[Z],B=Y*m[W+1]+G*m[Z+1],N=Y*m[W+2]+G*m[Z+2],j=Y*m[W+3]+G*m[Z+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*z+.5*D,k[2*S+1]=.5*P+.5*I,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+O,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{"./lib/shaders":89,"binary-search-bounds":31,"gl-buffer":78,"gl-shader":132,"iota-array":235,"typedarray-pool":308}],89:[function(t,e,r){"use strict";var n=t("glslify");e.exports={fragment:n(["precision lowp float;\n#define GLSLIFY 1\nvarying vec4 fragColor;\nvoid main() {\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\n}\n"]),vertex:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 color;\nattribute vec2 weight;\n\nuniform vec2 shape;\nuniform mat3 viewTransform;\n\nvarying vec4 fragColor;\n\nvoid main() {\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\n  fragColor = color;\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\n}\n"]),pickFragment:n(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragId;\nvarying vec2 vWeight;\n\nuniform vec2 shape;\nuniform vec4 pickOffset;\n\nvoid main() {\n  vec2 d = step(.5, vWeight);\n  vec4 id = fragId + pickOffset;\n  id.x += d.x + d.y*shape.x;\n\n  id.y += floor(id.x / 256.0);\n  id.x -= floor(id.x / 256.0) * 256.0;\n\n  id.z += floor(id.y / 256.0);\n  id.y -= floor(id.y / 256.0) * 256.0;\n\n  id.w += floor(id.z / 256.0);\n  id.z -= floor(id.z / 256.0) * 256.0;\n\n  gl_FragColor = id/255.;\n}\n"]),pickVertex:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 pickId;\nattribute vec2 weight;\n\nuniform vec2 shape;\nuniform mat3 viewTransform;\n\nvarying vec4 fragId;\nvarying vec2 vWeight;\n\nvoid main() {\n  vWeight = weight;\n\n  fragId = pickId;\n\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\n}\n"])}},{glslify:231}],90:[function(t,e,r){var n=t("glslify"),i=t("gl-shader"),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, nextPosition;\nattribute float arcLength, lineWidth;\nattribute vec4 color;\n\nuniform vec2 screenShape;\nuniform float pixelRatio;\nuniform mat4 model, view, projection;\n\nvarying vec4 fragColor;\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\n\nvec4 project(vec3 p) {\n  return projection * view * model * vec4(p, 1.0);\n}\n\nvoid main() {\n  vec4 startPoint = project(position);\n  vec4 endPoint   = project(nextPosition);\n\n  vec2 A = startPoint.xy / startPoint.w;\n  vec2 B =   endPoint.xy /   endPoint.w;\n\n  float clipAngle = atan(\n    (B.y - A.y) * screenShape.y,\n    (B.x - A.x) * screenShape.x\n  );\n\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\n    sin(clipAngle),\n    -cos(clipAngle)\n  ) / screenShape;\n\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\n\n  worldPosition = position;\n  pixelArcLength = arcLength;\n  fragColor = color;\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3      clipBounds[2];\nuniform sampler2D dashTexture;\nuniform float     dashScale;\nuniform float     opacity;\n\nvarying vec3    worldPosition;\nvarying float   pixelArcLength;\nvarying vec4    fragColor;\n\nvoid main() {\n  if (\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\n    fragColor.a * opacity == 0.\n  ) discard;\n\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\n  if(dashWeight < 0.5) {\n    discard;\n  }\n  gl_FragColor = fragColor * opacity;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\n#define FLOAT_MAX  1.70141184e38\n#define FLOAT_MIN  1.17549435e-38\n\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\nvec4 packFloat(float v) {\n  float av = abs(v);\n\n  //Handle special cases\n  if(av < FLOAT_MIN) {\n    return vec4(0.0, 0.0, 0.0, 0.0);\n  } else if(v > FLOAT_MAX) {\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\n  } else if(v < -FLOAT_MAX) {\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\n  }\n\n  vec4 c = vec4(0,0,0,0);\n\n  //Compute exponent and mantissa\n  float e = floor(log2(av));\n  float m = av * pow(2.0, -e) - 1.0;\n\n  //Unpack mantissa\n  c[1] = floor(128.0 * m);\n  m -= c[1] / 128.0;\n  c[2] = floor(32768.0 * m);\n  m -= c[2] / 32768.0;\n  c[3] = floor(8388608.0 * m);\n\n  //Unpack exponent\n  float ebias = e + 127.0;\n  c[0] = floor(ebias / 2.0);\n  ebias -= c[0] * 2.0;\n  c[1] += floor(ebias) * 128.0;\n\n  //Unpack sign bit\n  c[0] += 128.0 * step(0.0, -v);\n\n  //Scale back to range\n  return c / 255.0;\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform float pickId;\nuniform vec3 clipBounds[2];\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\n\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\n}"]),l=[{name:"position",type:"vec3"},{name:"nextPosition",type:"vec3"},{name:"arcLength",type:"float"},{name:"lineWidth",type:"float"},{name:"color",type:"vec4"}];r.createShader=function(t){return i(t,a,o,null,l)},r.createPickShader=function(t){return i(t,a,s,null,l)}},{"gl-shader":132,glslify:231}],91:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=a(e,u);d.wrap=e.REPEAT;var m=new v(e,r,o,s,l,d);return m.update(t),m};var n=t("gl-buffer"),i=t("gl-vao"),a=t("gl-texture2d"),o=new Uint8Array(4),s=new Float32Array(o.buffer);var l=t("binary-search-bounds"),c=t("ndarray"),u=t("./lib/shaders"),f=u.createShader,h=u.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function m(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function v(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var y=v.prototype;y.isTransparent=function(){return this.hasAlpha},y.isOpaque=function(){return!this.hasAlpha},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:m(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:m(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;"dashScale"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,"opacity"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,u=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],m=t.lineWidth||1,g=!1;t:for(e=1;e<h.length;++e){var v,y,x,b=h[e-1],_=h[e];for(a.push(s),o.push(b.slice()),r=0;r<3;++r){if(isNaN(b[r])||isNaN(_[r])||!isFinite(b[r])||!isFinite(_[r])){if(!n&&i.length>0){for(var w=0;w<24;++w)i.push(i[i.length-12]);u+=2,g=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(v=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],y=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):v=y=p,3===v.length&&(v=[v[0],v[1],v[2],1]),3===y.length&&(y=[y[0],y[1],y[2],1]),!this.hasAlpha&&v[3]<1&&(this.hasAlpha=!0),x=Array.isArray(m)?m.length>e-1?m[e-1]:m.length>0?m[m.length-1]:[0,0,0,1]:m;var T=s;if(s+=d(b,_),g){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3]);u+=2,g=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,v[0],v[1],v[2],v[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,y[0],y[1],y[2],y[3]),u+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=u,this.points=o,this.arcLength=a,"dashes"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e<k.length;++e)k[e]=k[e-1]+k[e];var A=c(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(r=0;r<4;++r)A.set(e,0,r,0);1&l.le(k,k[k.length-1]*e/255)?A.set(e,0,0,0):A.set(e,0,0,255)}this.texture.setPixels(A)}},y.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=function(t,e,r,n){return o[0]=n,o[1]=r,o[2]=e,o[3]=t,s[0]}(t.value[0],t.value[1],t.value[2],0),r=l.le(this.arcLength,e);if(r<0)return null;if(r===this.arcLength.length-1)return new g(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],a=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),c=1-a,u=[0,0,0],f=0;f<3;++f)u[f]=c*n[f]+a*i[f];var h=Math.min(a<.5?r:r+1,this.points.length-1);return new g(e,u,h,this.points[h])}},{"./lib/shaders":90,"binary-search-bounds":31,"gl-buffer":78,"gl-texture2d":146,"gl-vao":150,ndarray:259}],92:[function(t,e,r){e.exports=function(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}},{}],93:[function(t,e,r){e.exports=function(){var t=new Float32Array(16);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],94:[function(t,e,r){e.exports=function(t){var e=t[0],r=t[1],n=t[2],i=t[3],a=t[4],o=t[5],s=t[6],l=t[7],c=t[8],u=t[9],f=t[10],h=t[11],p=t[12],d=t[13],m=t[14],g=t[15];return(e*o-r*a)*(f*g-h*m)-(e*s-n*a)*(u*g-h*d)+(e*l-i*a)*(u*m-f*d)+(r*s-n*o)*(c*g-h*p)-(r*l-i*o)*(c*m-f*p)+(n*l-i*s)*(c*d-u*p)}},{}],95:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,c=r*o,u=n*o,f=n*s,h=i*o,p=i*s,d=i*l,m=a*o,g=a*s,v=a*l;return t[0]=1-f-d,t[1]=u+v,t[2]=h-g,t[3]=0,t[4]=u-v,t[5]=1-c-d,t[6]=p+m,t[7]=0,t[8]=h+g,t[9]=p-m,t[10]=1-c-f,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],96:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,c=a+a,u=n*s,f=n*l,h=n*c,p=i*l,d=i*c,m=a*c,g=o*s,v=o*l,y=o*c;return t[0]=1-(p+m),t[1]=f+y,t[2]=h-v,t[3]=0,t[4]=f-y,t[5]=1-(u+m),t[6]=d+g,t[7]=0,t[8]=h+v,t[9]=d-g,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],97:[function(t,e,r){e.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],98:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],f=e[9],h=e[10],p=e[11],d=e[12],m=e[13],g=e[14],v=e[15],y=r*s-n*o,x=r*l-i*o,b=r*c-a*o,_=n*l-i*s,w=n*c-a*s,T=i*c-a*l,k=u*m-f*d,A=u*g-h*d,M=u*v-p*d,S=f*g-h*m,E=f*v-p*m,L=h*v-p*g,C=y*L-x*E+b*S+_*M-w*A+T*k;if(!C)return null;return C=1/C,t[0]=(s*L-l*E+c*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(m*T-g*w+v*_)*C,t[3]=(h*w-f*T-p*_)*C,t[4]=(l*M-o*L-c*A)*C,t[5]=(r*L-i*M+a*A)*C,t[6]=(g*b-d*T-v*x)*C,t[7]=(u*T-h*b+p*x)*C,t[8]=(o*E-s*M+c*k)*C,t[9]=(n*M-r*E-a*k)*C,t[10]=(d*w-m*b+v*y)*C,t[11]=(f*b-u*w-p*y)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(m*x-d*_-g*y)*C,t[15]=(u*_-f*x+h*y)*C,t}},{}],99:[function(t,e,r){var n=t("./identity");e.exports=function(t,e,r,i){var a,o,s,l,c,u,f,h,p,d,m=e[0],g=e[1],v=e[2],y=i[0],x=i[1],b=i[2],_=r[0],w=r[1],T=r[2];if(Math.abs(m-_)<1e-6&&Math.abs(g-w)<1e-6&&Math.abs(v-T)<1e-6)return n(t);f=m-_,h=g-w,p=v-T,d=1/Math.sqrt(f*f+h*h+p*p),a=x*(p*=d)-b*(h*=d),o=b*(f*=d)-y*p,s=y*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0);l=h*s-p*o,c=p*a-f*s,u=f*o-h*a,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=c,t[6]=h,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(a*m+o*g+s*v),t[13]=-(l*m+c*g+u*v),t[14]=-(f*m+h*g+p*v),t[15]=1,t}},{"./identity":97}],100:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],m=e[12],g=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*m,t[1]=x*i+b*l+_*h+w*g,t[2]=x*a+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*m,t[5]=x*i+b*l+_*h+w*g,t[6]=x*a+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*m,t[9]=x*i+b*l+_*h+w*g,t[10]=x*a+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*m,t[13]=x*i+b*l+_*h+w*g,t[14]=x*a+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],101:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t}},{}],102:[function(t,e,r){e.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},{}],103:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S,E=n[0],L=n[1],C=n[2],P=Math.sqrt(E*E+L*L+C*C);if(Math.abs(P)<1e-6)return null;E*=P=1/P,L*=P,C*=P,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],f=e[4],h=e[5],p=e[6],d=e[7],m=e[8],g=e[9],v=e[10],y=e[11],x=E*E*o+a,b=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,T=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,M=L*C*o-E*i,S=C*C*o+a,t[0]=s*x+f*b+m*_,t[1]=l*x+h*b+g*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+f*T+m*k,t[5]=l*w+h*T+g*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*A+f*M+m*S,t[9]=l*A+h*M+g*S,t[10]=c*A+p*M+v*S,t[11]=u*A+d*M+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],104:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},{}],105:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},{}],106:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],f=e[6],h=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},{}],107:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],108:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o,s,l,c,u,f,h,p,d,m=r[0],g=r[1],v=r[2];e===t?(t[12]=e[0]*m+e[4]*g+e[8]*v+e[12],t[13]=e[1]*m+e[5]*g+e[9]*v+e[13],t[14]=e[2]*m+e[6]*g+e[10]*v+e[14],t[15]=e[3]*m+e[7]*g+e[11]*v+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*m+s*g+f*v+e[12],t[13]=i*m+l*g+h*v+e[13],t[14]=a*m+c*g+p*v+e[14],t[15]=o*m+u*g+d*v+e[15]);return t}},{}],109:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],110:[function(t,e,r){"use strict";var n=t("barycentric"),i=t("polytope-closest-point/lib/closest_point_2d.js");function a(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var i=0;i<4;++i)r[i]+=t[4*n+i]*e[n];return r}function o(t,e,r,n,i){for(var o=a(n,a(r,a(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*i[0]*(1+o[0]),.5*i[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var i=t[n],a=e[n],o=0;o<3;++o)r[o]+=a*i[o];return r}e.exports=function(t,e,r,a,l,c){if(1===t.length)return[0,t[0].slice()];for(var u=new Array(t.length),f=0;f<t.length;++f)u[f]=o(t[f],r,a,l,c);var h=0,p=1/0;for(f=0;f<u.length;++f){for(var d=0,m=0;m<2;++m)d+=Math.pow(u[f][m]-e[m],2);d<p&&(p=d,h=f)}var g=function(t,e){if(2===t.length){for(var r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return r=Math.sqrt(r),a=Math.sqrt(a),r+a<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),v=0;for(f=0;f<3;++f){if(g[f]<-.001||g[f]>1.0001)return null;v+=g[f]}if(Math.abs(v-1)>.001)return null;return[h,s(t,g),g]}},{barycentric:14,"polytope-closest-point/lib/closest_point_2d.js":270}],111:[function(t,e,r){var n=t("glslify"),i=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, normal;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model\n           , view\n           , projection\n           , inverseModel;\nuniform vec3 eyePosition\n           , lightPosition;\n\nvarying vec3 f_normal\n           , f_lightDirection\n           , f_eyeDirection\n           , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvec4 project(vec3 p) {\n  return projection * view * model * vec4(p, 1.0);\n}\n\nvoid main() {\n  gl_Position      = project(position);\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n  f_color          = color;\n  f_data           = position;\n  f_uv             = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness,\n  float fresnel) {\n\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n  //Half angle vector\n  vec3 H = normalize(lightDirection + viewDirection);\n\n  //Geometric term\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\n  float VdotH = max(dot(viewDirection, H), 0.000001);\n  float LdotH = max(dot(lightDirection, H), 0.000001);\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n  float G = min(1.0, min(G1, G2));\n  \n  //Distribution term\n  float D = beckmannDistribution(NdotH, roughness);\n\n  //Fresnel term\n  float F = pow(1.0 - VdotN, fresnel);\n\n  //Multiply terms and done\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness\n            , fresnel\n            , kambient\n            , kdiffuse\n            , kspecular;\nuniform sampler2D texture;\n\nvarying vec3 f_normal\n           , f_lightDirection\n           , f_eyeDirection\n           , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (f_color.a == 0.0 ||\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\n  ) discard;\n\n  vec3 N = normalize(f_normal);\n  vec3 L = normalize(f_lightDirection);\n  vec3 V = normalize(f_eyeDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\n\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = litColor * f_color.a;\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model, view, projection;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n  gl_Position = projection * view * model * vec4(position, 1.0);\n  f_color = color;\n  f_data  = position;\n  f_uv    = uv;\n}"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\n\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\nattribute float pointSize;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\n  } else {\n    gl_Position = projection * view * model * vec4(position, 1.0);\n  }\n  gl_PointSize = pointSize;\n  f_color = color;\n  f_uv = uv;\n}"]),c=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\n  if(dot(pointR, pointR) > 0.25) {\n    discard;\n  }\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),u=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  gl_Position = projection * view * model * vec4(position, 1.0);\n  f_id        = id;\n  f_position  = position;\n}"]),f=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, f_id.xyz);\n}"]),h=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3  position;\nattribute float pointSize;\nattribute vec4  id;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\n  } else {\n    gl_Position  = projection * view * model * vec4(position, 1.0);\n    gl_PointSize = pointSize;\n  }\n  f_id         = id;\n  f_position   = position;\n}"]),p=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\n\nvoid main() {\n  gl_Position = projection * view * model * vec4(position, 1.0);\n}"]),d=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec3 contourColor;\n\nvoid main() {\n  gl_FragColor = vec4(contourColor, 1.0);\n}\n"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec3"},{name:"normal",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},r.pointShader={vertex:l,fragment:c,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"pointSize",type:"float"}]},r.pickShader={vertex:u,fragment:f,attributes:[{name:"position",type:"vec3"},{name:"id",type:"vec4"}]},r.pointPickShader={vertex:h,fragment:f,attributes:[{name:"position",type:"vec3"},{name:"pointSize",type:"float"},{name:"id",type:"vec4"}]},r.contourShader={vertex:p,fragment:d,attributes:[{name:"position",type:"vec3"}]}},{glslify:231}],112:[function(t,e,r){"use strict";var n=t("gl-shader"),i=t("gl-buffer"),a=t("gl-vao"),o=t("gl-texture2d"),s=t("normals"),l=t("gl-mat4/multiply"),c=t("gl-mat4/invert"),u=t("ndarray"),f=t("colormap"),h=t("simplicial-complex-contour"),p=t("typedarray-pool"),d=t("./lib/shaders"),m=t("./lib/closest-point"),g=d.meshShader,v=d.wireShader,y=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=v,this.edgeIds=m,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function S(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function E(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function C(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function P(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var c=r[l],u=0;u<2;++u){var f=c[0];2===c.length&&(f=c[u]);for(var d=n[f][0],m=n[f][1],g=i[f],v=1-g,y=this.positions[d],x=this.positions[m],b=0;b<3;++b)o[s++]=g*y[b]+v*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,"contourEnable"in t&&(this.contourEnable=t.contourEnable),"contourColor"in t&&(this.contourColor=t.contourColor),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"lightPosition"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,"opacity"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),"opacityscale"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),"ambient"in t&&(this.ambientLight=t.ambient),"diffuse"in t&&(this.diffuseLight=t.diffuse),"specular"in t&&(this.specularLight=t.specular),"roughness"in t&&(this.roughness=t.roughness),"fresnel"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=f({colormap:t,nshades:256,format:"rgba"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3]}return u(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],c=[],h=[],p=[],d=[],m=[],g=[],v=[],y=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,I=t.cellUVs,O=t.cellIntensity,z=1/0,D=-1/0;if(!C&&!I)if(P)if(t.vertexIntensityBounds)z=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];z=Math.min(z,F),D=Math.max(D,F)}else if(O)if(t.cellIntensityBounds)z=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<O.length;++R){F=O[R];z=Math.min(z,F),D=Math.max(D,F)}else for(R=0;R<n.length;++R){F=n[R][2];z=Math.min(z,F),D=Math.max(D,F)}this.intensity=P||(O||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n)),this.pickVertex=!(O||E);var B=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,H=0,q=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;v.push(j[0],j[1],j[2]),Z=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(Z[0],Z[1],Z[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===Z.length?y.push(Z[0],Z[1],Z[2],this.opacity):(y.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)),X=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],x.push(X[0],X[1]),B?b.push(B[W]):b.push(N),_.push(R),q+=1;break;case 2:for(U=0;U<2;++U){j=n[W=G[U]];for(var Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t}for(U=0;U<2;++U){j=n[W=G[U]];p.push(j[0],j[1],j[2]),Z=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(Z[0],Z[1],Z[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===Z.length?d.push(Z[0],Z[1],Z[2],this.opacity):(d.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)),X=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],m.push(X[0],X[1]),g.push(R)}H+=1;break;case 3:for(U=0;U<3;++U)for(j=n[W=G[U]],Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t;for(U=0;U<3;++U){var W,Z,X,J;j=n[W=G[2-U]];i.push(j[0],j[1],j[2]),(Z=S?S[W]:E?E[R]:L)?this.opacityscale&&P?a.push(Z[0],Z[1],Z[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===Z.length?a.push(Z[0],Z[1],Z[2],this.opacity):(a.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),X=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],c.push(X[0],X[1]),J=w?w[W]:T[R],l.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=q,this.edgeCount=H,this.triangleCount=V,this.pointPositions.update(v),this.pointColors.update(y),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(m),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);l(u,s.view,s.model),l(u,s.projection,u),c(u,u);for(o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var f,h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};((s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0)&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],c=this.positions[r[1]],u=this.positions[r[2]],f=[(l[0]+c[0]+u[0])/3,(l[1]+c[1]+u[1])/3,(l[2]+c[2]+u[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=m(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},e.exports=function(t,e){1===arguments.length&&(t=(e=t).gl);var r=t.getExtension("OES_standard_derivatives")||t.getExtension("MOZ_OES_standard_derivatives")||t.getExtension("WEBKIT_OES_standard_derivatives");if(!r)throw new Error("derivatives not supported");var n=M(t),s=S(t),l=E(t),c=L(t),f=C(t),h=P(t),p=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),m=i(t),g=i(t),v=i(t),y=i(t),x=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:v,type:t.FLOAT,size:3}]),b=i(t),_=i(t),w=i(t),k=i(t),A=a(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:k,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),I=i(t),O=i(t),z=i(t),D=i(t),R=i(t),F=a(t,[{buffer:I,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:O,type:t.FLOAT,size:4},{buffer:z,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=i(t),N=a(t,[{buffer:B,type:t.FLOAT,size:3}]),j=new T(t,p,n,s,l,c,f,h,d,y,m,g,v,x,b,k,_,w,A,I,R,O,z,D,F,B,N);return j.update(e),j}},{"./lib/closest-point":110,"./lib/shaders":111,colormap:53,"gl-buffer":78,"gl-mat4/invert":98,"gl-mat4/multiply":100,"gl-shader":132,"gl-texture2d":146,"gl-vao":150,ndarray:259,normals:261,"simplicial-complex-contour":291,"typedarray-pool":308}],113:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e,[0,0,0,1,1,0,1,1]),s=i(e,a.boxVert,a.lineFrag);return new o(t,r,s)};var n=t("gl-buffer"),i=t("gl-shader"),a=t("./shaders");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,c=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{"./shaders":116,"gl-buffer":78,"gl-shader":132}],114:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,o.gridVert,o.gridFrag),l=i(e,o.tickVert,o.gridFrag);return new s(t,r,a,l)};var n=t("gl-buffer"),i=t("gl-shader"),a=t("binary-search-bounds"),o=t("./shaders");function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var c,u,f,h,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,m=0;m<2;++m){var g=a[m],v=a[m+2]-g,y=.5*(o[m+2]+o[m]),x=o[m+2]-o[m];u[m]=2*v/x,c[m]=2*(g-y)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var b=0;for(m=0;m<2;++m){f[0]=f[1]=0,f[m]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[m]/(s[m+2]-s[m])*d,r.uniforms.color=h[m];var _=6*n[m].length;p[m]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,m=s.viewBox,g=s.pixelRatio,v=s.screenBox,y=v[2]-v[0],x=v[3]-v[1],b=m[2]-m[0],_=m[3]-m[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=b/y,t[0]*=b/y,e[1]*=_/x,t[1]*=_/x,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,I=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),O=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),z=0+6*I,D=6*Math.max(0,O-I),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(m[0]-E[1])/y-1,i[1]=(m[3]+m[1])/x-1,o[0]=E[1]*g/y,o[1]=L[1]*g/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(m[2]+m[0])/y-1,i[1]=2*(m[1]-E[0])/x-1,o[0]=L[0]*g/y,o[1]=E[0]*g/x,D&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D)),i[0]=2*(m[2]+E[3])/y-1,i[1]=(m[3]+m[1])/x-1,o[0]=E[3]*g/y,o[1]=L[3]*g/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(m[2]+m[0])/y-1,i[1]=2*(m[3]+E[2])/x-1,o[0]=L[2]*g/y,o[1]=E[2]*g/x,D&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],c=r[o],u=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-c)/(u-c);s.push(d);for(var m=0;m<6;++m)n[i++]=d,n[i++]=h[m],n[i++]=p[m]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{"./shaders":116,"binary-search-bounds":31,"gl-buffer":78,"gl-shader":132}],115:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e,[-1,-1,-1,1,1,-1,1,1]),s=i(e,a.lineVert,a.lineFrag);return new o(t,r,s)};var n=t("gl-buffer"),i=t("gl-shader"),a=t("./shaders");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=i*o.pixelRatio,c.uniforms.color=a,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{"./shaders":116,"gl-buffer":78,"gl-shader":132}],116:[function(t,e,r){"use strict";var n=t("glslify"),i=n(["precision lowp float;\n#define GLSLIFY 1\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\n}\n"]);e.exports={lineVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 coord;\n\nuniform vec4 screenBox;\nuniform vec2 start, end;\nuniform float width;\n\nvec2 perp(vec2 v) {\n  return vec2(v.y, -v.x);\n}\n\nvec2 screen(vec2 v) {\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\n}\n\nvoid main() {\n  vec2 delta = normalize(perp(start - end));\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\n}\n"]),lineFrag:i,textVert:n(["#define GLSLIFY 1\nattribute vec3 textCoordinate;\n\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\nuniform float angle;\n\nvoid main() {\n  float dataOffset  = textCoordinate.z;\n  vec2 glyphOffset  = textCoordinate.xy;\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\n    glyphMatrix * glyphOffset * textScale + screenOffset;\n  gl_Position = vec4(screenCoordinate, 0, 1);\n}\n"]),textFrag:i,gridVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 dataCoord;\n\nuniform vec2 dataAxis, dataShift, dataScale;\nuniform float lineWidth;\n\nvoid main() {\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\n  gl_Position = vec4(pos, 0, 1);\n}\n"]),gridFrag:i,boxVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 coord;\n\nuniform vec4 screenBox;\nuniform vec2 lo, hi;\n\nvec2 screen(vec2 v) {\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\n}\n\nvoid main() {\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\n}\n"]),tickVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 dataCoord;\n\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\n\nvoid main() {\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\n}\n"])}},{glslify:231}],117:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,s.textVert,s.textFrag);return new l(t,r,a)};var n=t("gl-buffer"),i=t("gl-shader"),a=t("text-cache"),o=t("binary-search-bounds"),s=t("./shaders");function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var c,u,f,h,p,d,m=l.prototype;m.drawTicks=(c=[0,0],u=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,m=e.tickPad,g=e.tickColor,v=e.tickAngle,y=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];u[1^t]=M*s[1^t]-1,d[t]&&(u[1^t]-=M*p*m[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t],r.uniforms.angle=v[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t]&&T&&(u[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),u[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=M*p*m[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t+2],r.uniforms.angle=v[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t+2]&&T&&(u[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),m.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-a[u])/(a[2+u]-a[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),m.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],f=a[o],m=a[o+2]-f,g=i[o],v=i[o+2]-g;p[o]=2*l/u*m/v,h[o]=2*(s-c)/u*m/v}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),m.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,m=p.text,g=p.font||"sans-serif";i=p.fontSize||12;for(var v=1/(c[o+2]-c[o]),y=c[o],x=m.split("\n"),b=0;b<x.length;b++)for(n=a(g,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-y)*v);u.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=u,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{textAlign:"center"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},m.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{"./shaders":116,"binary-search-bounds":31,"gl-buffer":78,"gl-shader":132,"text-cache":303}],118:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e,[e.drawingBufferWidth,e.drawingBufferHeight]),c=new l(e,r);return c.grid=i(c),c.text=a(c),c.line=o(c),c.box=s(c),c.update(t),c};var n=t("gl-select-static"),i=t("./lib/grid"),a=t("./lib/text"),o=t("./lib/line"),s=t("./lib/box");function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var c=l.prototype;function u(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var m=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(m,e[1],m,e[3],p[d],h[d]):o.drawLine(e[0],m,e[2],m,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,v=this.borderLineWidth,y=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*v[1]*i,r[0],r[3]+.5*v[3]*i,v[1],y[1]),g[0]&&o.drawLine(r[0]-.5*v[0]*i,r[1],r[2]+.5*v[2]*i,r[1],v[0],y[0]),g[3]&&o.drawLine(r[2],r[1]-.5*v[1]*i,r[2],r[3]+.5*v[3]*i,v[3],y[3]),g[2]&&o.drawLine(r[0]-.5*v[0]*i,r[3],r[2]+.5*v[2]*i,r[3],v[2],y[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},c.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var f=c[u].pick(a,o,l);if(f)return f}return null}},c.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},c.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},c.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},c.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=u(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=u(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=u(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!("titleEnable"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=u(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=u(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||["x","y"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||["sans-serif","sans-serif"],title:t.title||"",titleSize:t.titleSize||18,titleFont:t.titleFont||"sans-serif"}),this.static=!!t.static,this.setDirty()},c.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},c.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{"./lib/box":113,"./lib/grid":114,"./lib/line":115,"./lib/text":117,"gl-select-static":131}],119:[function(t,e,r){"use strict";e.exports=function(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];"distanceLimits"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]);"zoomMin"in e&&(r[0]=e.zoomMin);"zoomMax"in e&&(r[1]=e.zoomMax);var c=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||"orbit",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:"rotate",enableWheel:!0,view:c,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:c.modes,_ortho:e._ortho||e.projection&&"orthographic"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;c.idle(e-r),c.recalcMatrix(i),c.flush(e-(100+2*r));for(var a=!0,o=c.computedMatrix,s=0;s<16;++s)a=a&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(c.computedRadius[0]),!0)},lookAt:function(t,e,r){c.lookAt(c.lastT(),t,e,r)},rotate:function(t,e,r){c.rotate(c.lastT(),t,e,r)},pan:function(t,e,r){c.pan(c.lastT(),t,e,r)},translate:function(t,e,r){c.translate(c.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),r=c.computedEye.slice(),i=c.computedCenter.slice();if(c.setMode(t),"turntable"===t){var a=n();c._active.lookAt(a,r,i,e),c._active.lookAt(a+500,r,i,[0,0,1]),c._active.flush(a)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(r)},set:function(t){return c.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener("contextmenu",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s="rotate"===o,l="pan"===o,u="zoom"===o,h=!!a.control,p=!!a.alt,m=!!a.shift,g=!!(1&e),v=!!(2&e),y=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&g&&!h&&!p&&!m||g&&!h&&!p&&m)&&c.rotate(A,w*k*b,-T*k*_,0),(l&&g&&!h&&!p&&!m||v||g&&h&&!p&&!m)&&c.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),u&&g&&!h&&!p&&!m||y||g&&!h&&p&&!m)){var M=-d.zoomSpeed*_/window.innerHeight*(A-c.lastT())*100;c.pan(A,0,0,f*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener("touchstart",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener("touchmove",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener("touchend",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))c.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-c.lastT())/20;c.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=t("right-now"),i=t("3d-view"),a=t("mouse-change"),o=t("mouse-wheel"),s=t("mouse-event-offset"),l=t("has-passive-events")},{"3d-view":7,"has-passive-events":232,"mouse-change":247,"mouse-event-offset":248,"mouse-wheel":250,"right-now":278}],120:[function(t,e,r){var n=t("glslify"),i=t("gl-shader"),a=n(["precision mediump float;\n#define GLSLIFY 1\nattribute vec2 position;\nvarying vec2 uv;\nvoid main() {\n  uv = position;\n  gl_Position = vec4(position, 0, 1);\n}"]),o=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform sampler2D accumBuffer;\nvarying vec2 uv;\n\nvoid main() {\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\n  gl_FragColor = min(vec4(1,1,1,1), accum);\n}"]);e.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec2"}])}},{"gl-shader":132,glslify:231}],121:[function(t,e,r){"use strict";var n=t("./camera.js"),i=t("gl-axes3d"),a=t("gl-axes3d/properties"),o=t("gl-spikes3d"),s=t("gl-select-static"),l=t("gl-fbo"),c=t("a-big-triangle"),u=t("mouse-change"),f=t("gl-mat4/perspective"),h=t("gl-mat4/ortho"),p=t("./lib/shader"),d=t("is-mobile")({tablet:!0,featureDetect:!0});function m(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function v(t){return"boolean"!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;if(!e){if(e=document.createElement("canvas"),t.container)t.container.appendChild(e);else document.body.appendChild(e)}var r=t.gl;r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext("webgl",e))||(r=t.getContext("experimental-webgl",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d}));if(!r)throw new Error("webgl not supported");var y=t.bounds||[[-10,-10,-10],[10,10,10]],x=new m,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&"orthographic"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||"turntable",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],I=!0,O=!0,z=new Array(16),D=new Array(16),R={view:null,projection:z,model:D,_ortho:!1},F=(O=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),B=t.cameraObject||n(e,T),N={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:B,axes:A,axesPixels:null,spikes:S,bounds:y,objects:E,shape:F,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:v(t.autoResize),autoBounds:v(t.autoBounds),autoScale:!!t.autoScale,autoCenter:v(t.autoCenter),clipToBounds:v(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:R,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,O=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},j=[r.drawingBufferWidth/N.pixelRatio|0,r.drawingBufferHeight/N.pixelRatio|0];function U(){if(!N._stopped&&N.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*N.pixelRatio),a=0|Math.ceil(n*N.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||"absolute",o.left="0px",o.top="0px",o.width=r+"px",o.height=n+"px",I=!0}}}N.autoResize&&U();function V(){for(var t=E.length,e=P.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,F);L[n]=e,P.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),P.pop().dispose()}function H(){if(N.contextLost)return!0;r.isContextLost()&&(N.contextLost=!0,N.mouseListener.enabled=!1,N.selection.object=null,N.oncontextloss&&N.oncontextloss())}window.addEventListener("resize",U),N.update=function(t){N._stopped||(t=t||{},I=!0,O=!0)},N.add=function(t){N._stopped||(t.axes=A,E.push(t),L.push(-1),I=!0,O=!0,V())},N.remove=function(t){if(!N._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),I=!0,O=!0,V())}},N.dispose=function(){if(!N._stopped&&(N._stopped=!0,window.removeEventListener("resize",U),e.removeEventListener("webglcontextlost",H),N.mouseListener.enabled=!1,!N.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();b.dispose();for(t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},N._mouseRotating=!1,N._prevButtons=0,N.enableMouseListeners=function(){N.mouseListener=u(e,(function(t,e,r){if(!N._stopped){var n=P.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&N._prevButtons)N._mouseRotating=!0;else{N._mouseRotating&&(O=!0),N._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,j[1]-r-1,N.pickRadius);if(l){if(l.distance>x.distance)continue;for(var c=0;c<i;++c){var u=E[c];if(L[c]===s){var f=u.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=u,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),I=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),I=!0),(o=o||x.object!==a)&&N.onselect&&N.onselect(x),1&t&&!(1&N._prevButtons)&&N.onclick&&N.onclick(x),N._prevButtons=t}}))},e.addEventListener("webglcontextlost",H);var q=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],G=[q[0].slice(),q[1].slice()];function Y(){if(!H()){U();var t=N.camera.tick();R.view=N.camera.matrix,I=I||t,O=O||t,A.pixelRatio=N.pixelRatio,S.pixelRatio=N.pixelRatio;var e=E.length,n=q[0],i=q[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=N.pixelRatio,C.axes=N.axes,I=I||!!C.dirty,O=O||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],u[p])}var d=N.bounds;if(N.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var m=.05*(i[p]-n[p]);n[p]=n[p]-m,i[p]=i[p]+m}d[0][p]=n[p],d[1][p]=i[p]}var v=!1;for(p=0;p<3;++p)v=v||G[0][p]!==d[0][p]||G[1][p]!==d[1][p],G[0][p]=d[0][p],G[1][p]=d[1][p];if(O=O||v,I=I||v){if(v){var y=[0,0,0];for(o=0;o<3;++o)y[o]=g((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:y}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;F[0]=T,F[1]=k,j[0]=0|Math.max(T/N.pixelRatio,1),j[1]=0|Math.max(k/N.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,c=t.zFar,u=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,c),n._ortho=!0):(f(i,u,p,l,c),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var m=0;for(d=0;d<3;++d)m=Math.max(m,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/m,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(N,w);for(o=0;o<e;++o){(C=E[o]).axesBounds=d,N.clipToBounds&&(C.clipBounds=d)}x.object&&(N.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),O&&(O=!1,function(){if(!H()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=j,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(R))}i.end()}}}()),N.axesPixels=a(N.axes,R,T,k),N.onrender&&N.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),N.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;A.enable&&(M=M||A.isTransparent(),A.draw(R)),S.axes=A,x.object&&S.draw(R),r.disable(r.CULL_FACE);for(o=0;o<e;++o){(C=E[o]).axes=A,C.pixelRatio=N.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(R),C.isTransparent&&C.isTransparent()&&(M=!0)}if(M){b.shape=F,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(R);for(o=0;o<e;++o){(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(R)}r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(R);for(o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(R)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,c(r),r.disable(r.BLEND)}I=!1;for(o=0;o<e;++o)E[o].dirty=!1}}}return N.enableMouseListeners(),function t(){if(N._stopped||N.contextLost)return;Y(),requestAnimationFrame(t)}(),N.redraw=function(){N._stopped||(I=!0,Y())},N},createCamera:n}},{"./camera.js":119,"./lib/shader":120,"a-big-triangle":8,"gl-axes3d":70,"gl-axes3d/properties":77,"gl-fbo":86,"gl-mat4/ortho":101,"gl-mat4/perspective":102,"gl-select-static":131,"gl-spikes3d":141,"is-mobile":238,"mouse-change":247}],122:[function(t,e,r){var n=t("glslify");r.pointVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\n\nuniform mat3 matrix;\nuniform float pointSize;\nuniform float pointCloud;\n\nhighp float rand(vec2 co) {\n  highp float a = 12.9898;\n  highp float b = 78.233;\n  highp float c = 43758.5453;\n  highp float d = dot(co.xy, vec2(a, b));\n  highp float e = mod(d, 3.14);\n  return fract(sin(e) * c);\n}\n\nvoid main() {\n  vec3 hgPosition = matrix * vec3(position, 1);\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\n    // if we don't jitter the point size a bit, overall point cloud\n    // saturation 'jumps' on zooming, which is disturbing and confusing\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\n  if(pointCloud != 0.0) { // pointCloud is truthy\n    // get the same square surface as circle would be\n    gl_PointSize *= 0.886;\n  }\n}"]),r.pointFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform vec4 color, borderColor;\nuniform float centerFraction;\nuniform float pointCloud;\n\nvoid main() {\n  float radius;\n  vec4 baseColor;\n  if(pointCloud != 0.0) { // pointCloud is truthy\n    if(centerFraction == 1.0) {\n      gl_FragColor = color;\n    } else {\n      gl_FragColor = mix(borderColor, color, centerFraction);\n    }\n  } else {\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\n    if(radius > 1.0) {\n      discard;\n    }\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\n  }\n}\n"]),r.pickVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 pickId;\n\nuniform mat3 matrix;\nuniform float pointSize;\nuniform vec4 pickOffset;\n\nvarying vec4 fragId;\n\nvoid main() {\n  vec3 hgPosition = matrix * vec3(position, 1);\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\n  gl_PointSize = pointSize;\n\n  vec4 id = pickId + pickOffset;\n  id.y += floor(id.x / 256.0);\n  id.x -= floor(id.x / 256.0) * 256.0;\n\n  id.z += floor(id.y / 256.0);\n  id.y -= floor(id.y / 256.0) * 256.0;\n\n  id.w += floor(id.z / 256.0);\n  id.z -= floor(id.z / 256.0) * 256.0;\n\n  fragId = id;\n}\n"]),r.pickFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragId;\n\nvoid main() {\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\n  if(radius > 1.0) {\n    discard;\n  }\n  gl_FragColor = fragId / 255.0;\n}\n"])},{glslify:231}],123:[function(t,e,r){"use strict";var n=t("gl-shader"),i=t("gl-buffer"),a=t("typedarray-pool"),o=t("./lib/shader");function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}e.exports=function(t,e){var r=t.gl,a=i(r),l=i(r),c=n(r,o.pointVertex,o.pointFragment),u=n(r,o.pickVertex,o.pickFragment),f=new s(t,a,l,c,u);return f.update(e),t.addObject(f),f};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r("sizeMin",.5),this.sizeMax=r("sizeMax",20),this.color=r("color",[1,0,0,1]).slice(),this.areaRatio=r("areaRatio",1),this.borderColor=r("borderColor",[0,0,0,1]).slice(),this.blend=r("blend",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),c=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),i||a.free(l),o||a.free(c),this.pointCount=n,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},{"./lib/shader":122,"gl-buffer":78,"gl-shader":132,"typedarray-pool":308}],124:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c=e[0],u=e[1],f=e[2],h=e[3],p=r[0],d=r[1],m=r[2],g=r[3];(a=c*p+u*d+f*m+h*g)<0&&(a=-a,p=-p,d=-d,m=-m,g=-g);1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n);return t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*f+l*m,t[3]=s*h+l*g,t}},{}],125:[function(t,e,r){"use strict";e.exports=function(t){return t||0===t?t.toString():""}},{}],126:[function(t,e,r){"use strict";var n=t("vectorize-text");e.exports=function(t,e,r){var a=i[e];a||(a=i[e]={});if(t in a)return a[t];var o={textAlign:"center",textBaseline:"middle",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,c,u=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(c=0;c<s.positions[l].length;++c)s.positions[l][c]/=r;for(l=0;l<u.positions.length;++l)for(c=0;c<u.positions[l].length;++c)u.positions[l][c]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=u.positions.length;for(l=0;l<h;++l){var p=u.positions[l];for(c=0;c<2;++c)f[0][c]=Math.min(f[0][c],p[c]),f[1][c]=Math.max(f[1][c],p[c])}return a[t]=[s,u,f]};var i={}},{"vectorize-text":311}],127:[function(t,e,r){var n=t("gl-shader"),i=t("glslify"),a=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform vec4 highlightId;\nuniform float highlightScale;\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0,0,0,0);\n  } else {\n    float scale = 1.0;\n    if(distance(highlightId, id) < 0.0001) {\n      scale = highlightScale;\n    }\n\n    vec4 worldPosition = model * vec4(position, 1);\n    vec4 viewPosition = view * worldPosition;\n    viewPosition = viewPosition / viewPosition.w;\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\n\n    gl_Position = clipPosition;\n    interpColor = color;\n    pickId = id;\n    dataCoordinate = position;\n  }\n}"]),o=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float highlightScale, pixelRatio;\nuniform vec4 highlightId;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0,0,0,0);\n  } else {\n    float scale = pixelRatio;\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\n      scale *= highlightScale;\n    }\n\n    vec4 worldPosition = model * vec4(position, 1.0);\n    vec4 viewPosition = view * worldPosition;\n    vec4 clipPosition = projection * viewPosition;\n    clipPosition /= clipPosition.w;\n\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\n    interpColor = color;\n    pickId = id;\n    dataCoordinate = position;\n  }\n}"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform float highlightScale;\nuniform vec4 highlightId;\nuniform vec3 axes[2];\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float scale, pixelRatio;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n    gl_Position = vec4(0,0,0,0);\n  } else {\n    float lscale = pixelRatio * scale;\n    if(distance(highlightId, id) < 0.0001) {\n      lscale *= highlightScale;\n    }\n\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\n\n    gl_Position = clipPosition;\n    interpColor = color;\n    pickId = id;\n    dataCoordinate = dataPosition;\n  }\n}\n"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float opacity;\n\nvarying vec4 interpColor;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\n    interpColor.a * opacity == 0.\n  ) discard;\n  gl_FragColor = interpColor * opacity;\n}\n"]),c=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float pickGroup;\n\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\n\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\n}"]),u=[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"glyph",type:"vec2"},{name:"id",type:"vec4"}],f={vertex:a,fragment:l,attributes:u},h={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:a,fragment:c,attributes:u},m={vertex:o,fragment:c,attributes:u},g={vertex:s,fragment:c,attributes:u};function v(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}r.createPerspective=function(t){return v(t,f)},r.createOrtho=function(t){return v(t,h)},r.createProject=function(t){return v(t,p)},r.createPickPerspective=function(t){return v(t,d)},r.createPickOrtho=function(t){return v(t,m)},r.createPickProject=function(t){return v(t,g)}},{"gl-shader":132,glslify:231}],128:[function(t,e,r){"use strict";var n=t("is-string-blank"),i=t("gl-buffer"),a=t("gl-vao"),o=t("typedarray-pool"),s=t("gl-mat4/multiply"),l=t("./lib/shaders"),c=t("./lib/glyphs"),u=t("./lib/get-simple-string"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function m(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,c,u,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}e.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),m=a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),v=new g(e,r,n,o,f,h,p,d,m,s,c,u);return v.update(t),v};var v=g.prototype;v.pickSlots=1,v.setPickBase=function(t){this.pickId=t},v.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},v.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var y=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function L(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||f,u=r.view||f,h=r.projection||f,d=e.axesBounds,m=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=h,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=m,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var v=T,L=0;L<16;++L)v[L]=0;for(L=0;L<4;++L)v[5*L]=1;v[5*g]=0,i[g]<0?v[12+g]=d[0][g]:v[12+g]=d[1][g],s(v,c,v),l.model=v;var C=(g+1)%3,P=(g+2)%3,I=M(x),O=M(b);I[C]=1,O[P]=1;var z=p(0,0,0,S(_,I)),D=p(0,0,0,S(w,O));if(Math.abs(z[1])>Math.abs(D[1])){var R=z;z=D,D=R,R=I,I=O,O=R;var F=C;C=P,P=F}z[0]<0&&(I[C]=-1),D[1]>0&&(O[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(c[4*C+L],2),N+=Math.pow(c[4*P+L],2);I[C]/=Math.sqrt(B),O[P]/=Math.sqrt(N),l.axes[0]=I,l.axes[1]=O,l.fragClipBounds[0]=E(k,m[0],g,-1e8),l.fragClipBounds[1]=E(k,m[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}var C=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function P(t,e,r,n,i,a,o){var s=r.gl;if((a===r.projectHasAlpha||o)&&L(e,r,n,i),a===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||f,l.view=n.view||f,l.projection=n.projection||f,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=C,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=i,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth>0&&(s.lineWidth(r.lineWidth*i),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function I(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=u(a);var o=!0;n(a)&&(a="\u25bc",o=!1);var s=c(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}v.draw=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},v.drawTransparent=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},v.drawPick=function(t){P(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},v.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},v.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},v.update=function(t){if("perspective"in(t=t||{})&&(this.useOrtho=!t.perspective),"orthographic"in t&&(this.useOrtho=!!t.orthographic),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"project"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if("projectScale"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,"projectOpacity"in t){if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{r=+t.projectOpacity;this.projectOpacity=[r,r,r]}for(var n=0;n<3;++n)this.projectOpacity[n]=m(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,"opacity"in t&&(this.opacity=m(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||"normal",c=t.alignment||[0,0];if(2===c.length)i=c[0],a=c[1];else{i=[],a=[];for(n=0;n<c.length;++n)i[n]=c[n][0],a[n]=c[n][1]}var u=[1/0,1/0,1/0],f=[-1/0,-1/0,-1/0],h=t.glyph,p=t.color,d=t.size,g=t.angle,v=t.lineColor,y=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],T=0;T<3;++T)if(isNaN(w[T])||!isFinite(w[T]))continue t;var k=(N=I(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;x+=3*k.cells.length,b+=2*A.edges.length}}var S=x+b,E=o.mallocFloat(3*S),L=o.mallocFloat(4*S),C=o.mallocFloat(2*S),P=o.mallocUint32(S);if(S>0){var O=0,z=x,D=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(v)&&Array.isArray(v[0]);t:for(n=0;n<_;++n){y+=1;for(w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T])}k=(N=I(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(T=0;T<3;++T)D[T]=U[T];D[3]=1}else if(4===U.length){for(T=0;T<4;++T)D[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else D[0]=D[1]=D[2]=0,D[3]=1;else D=[1,1,1,0];if(j)if(Array.isArray(v)){var U;if(3===(U=B?n<v.length?v[n]:[0,0,0,0]:v).length){for(T=0;T<3;++T)R[T]=U[T];R[T]=1}else if(4===U.length){for(T=0;T<4;++T)R[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];var V=.5;j?Array.isArray(d)?V=n<d.length?+d[n]:12:d?V=+d:this.useOrtho&&(V=12):V=0;var H=0;Array.isArray(g)?H=n<g.length?+g[n]:0:g&&(H=+g);var q=Math.cos(H),G=Math.sin(H);for(w=s[n],T=0;T<3;++T)f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T]);var Y=i,W=a;Y=0;Array.isArray(i)?Y=n<i.length?i[n]:0:i&&(Y=i);W=0;Array.isArray(a)?W=n<a.length?a[n]:0:a&&(W=a);var Z=[Y*=Y>0?1-M[0][0]:Y<0?1+M[1][0]:1,W*=W>0?1-M[0][1]:W<0?1+M[1][1]:1],X=k.cells||[],J=k.positions||[];for(T=0;T<X.length;++T)for(var K=X[T],Q=0;Q<3;++Q){for(var $=0;$<3;++$)E[3*O+$]=w[$];for($=0;$<4;++$)L[4*O+$]=D[$];P[O]=y;var tt=J[K[Q]];C[2*O]=V*(q*tt[0]-G*tt[1]+Z[0]),C[2*O+1]=V*(G*tt[0]+q*tt[1]+Z[1]),O+=1}for(X=A.edges,J=A.positions,T=0;T<X.length;++T)for(K=X[T],Q=0;Q<2;++Q){for($=0;$<3;++$)E[3*z+$]=w[$];for($=0;$<4;++$)L[4*z+$]=R[$];P[z]=y;tt=J[K[Q]];C[2*z]=V*(q*tt[0]-G*tt[1]+Z[0]),C[2*z+1]=V*(G*tt[0]+q*tt[1]+Z[1]),z+=1}}}this.bounds=[u,f],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(C),this.idBuffer.update(P),o.free(E),o.free(L),o.free(C),o.free(P)},v.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},{"./lib/get-simple-string":125,"./lib/glyphs":126,"./lib/shaders":127,"gl-buffer":78,"gl-mat4/multiply":100,"gl-vao":150,"is-string-blank":239,"typedarray-pool":308}],129:[function(t,e,r){"use strict";var n=t("glslify");r.boxVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 vertex;\n\nuniform vec2 cornerA, cornerB;\n\nvoid main() {\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\n}\n"]),r.boxFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform vec4 color;\n\nvoid main() {\n  gl_FragColor = color;\n}\n"])},{glslify:231}],130:[function(t,e,r){"use strict";var n=t("gl-shader"),i=t("gl-buffer"),a=t("./lib/shaders");function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}e.exports=function(t,e){var r=t.gl,s=i(r,[0,0,0,1,1,0,1,1]),l=n(r,a.boxVertex,a.boxFragment),c=new o(t,s,l);return c.update(e),t.addOverlay(c),c};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,c=t.viewBox,u=t.pixelRatio,f=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],h=(e[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],p=(e[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(e[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(f=Math.max(f,c[0]),h=Math.max(h,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p<f||d<h)){o.bind();var m=s[2]-s[0],g=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,m,h,i),o.drawBox(0,h,f,d,i),o.drawBox(0,d,m,g,i),o.drawBox(p,h,m,d,i)),this.innerFill&&o.drawBox(f,h,p,d,n),r>0){var v=r*u;o.drawBox(f-v,h-v,p+v,h+v,a),o.drawBox(f-v,d-v,p+v,d+v,a),o.drawBox(f-v,h-v,f+v,d+v,a),o.drawBox(p-v,h-v,p+v,d+v,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{"./lib/shaders":129,"gl-buffer":78,"gl-shader":132}],131:[function(t,e,r){"use strict";e.exports=function(t,e){var r=e[0],a=e[1],o=n(t,r,a,{}),s=i.mallocUint8(r*a*4);return new l(t,o,s)};var n=t("gl-fbo"),i=t("typedarray-pool"),a=t("ndarray"),o=t("bit-twiddle").nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}var c=l.prototype;Object.defineProperty(c,"shape",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){i.free(this.buffer);for(var n=this.buffer=i.mallocUint8(o(r*e*4)),a=0;a<r*e*4;++a)n[a]=255}return t}}}),c.begin=function(){var t=this.gl;this.shape;t&&(this.fbo.bind(),t.clearColor(1,1,1,1),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT))},c.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},c.query=function(t,e,r){if(!this.gl)return null;var n=this.fbo.shape.slice();t|=0,e|=0,"number"!=typeof r&&(r=1);var 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t=this.enable,e=this.width,r=this.color,n=this.center,i=this.plot,a=i.line,o=i.dataBox,s=i.viewBox;if(a.bind(),o[0]<=n[0]&&n[0]<=o[2]&&o[1]<=n[1]&&n[1]<=o[3]){var l=s[0]+(n[0]-o[0])/(o[2]-o[0])*(s[2]-s[0]),c=s[1]+(n[1]-o[1])/(o[3]-o[1])*(s[3]-s[1]);t[0]&&a.drawLine(l,c,s[0],c,e[0],r[0]),t[1]&&a.drawLine(l,c,l,s[1],e[1],r[1]),t[2]&&a.drawLine(l,c,s[2],c,e[2],r[2]),t[3]&&a.drawLine(l,c,l,s[3],e[3],r[3])}},i.dispose=function(){this.plot.removeOverlay(this)}},{}],140:[function(t,e,r){"use strict";var n=t("glslify"),i=t("gl-shader"),a=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position, color;\nattribute float weight;\n\nuniform mat4 model, view, projection;\nuniform vec3 coordinates[3];\nuniform vec4 colors[3];\nuniform vec2 screenShape;\nuniform float lineWidth;\n\nvarying vec4 fragColor;\n\nvoid main() {\n  vec3 vertexPosition = mix(coordinates[0],\n    mix(coordinates[2], coordinates[1], 0.5 * (position + 1.0)), abs(position));\n\n  vec4 clipPos = projection * view * model * vec4(vertexPosition, 1.0);\n  vec2 clipOffset = (projection * view * model * vec4(color, 0.0)).xy;\n  vec2 delta = weight * clipOffset * screenShape;\n  vec2 lineOffset = normalize(vec2(delta.y, -delta.x)) / screenShape;\n\n  gl_Position   = vec4(clipPos.xy + clipPos.w * 0.5 * lineWidth * lineOffset, clipPos.z, clipPos.w);\n  fragColor     = color.x * colors[0] + color.y * colors[1] + color.z * colors[2];\n}\n"]),o=n(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor;\n\nvoid main() {\n  gl_FragColor = fragColor;\n}"]);e.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"},{name:"color",type:"vec3"},{name:"weight",type:"float"}])}},{"gl-shader":132,glslify:231}],141:[function(t,e,r){"use strict";var n=t("gl-buffer"),i=t("gl-vao"),a=t("./shaders/index");e.exports=function(t,e){var r=[];function o(t,e,n,i,a,o){var s=[t,e,n,0,0,0,1];s[i+3]=1,s[i]=a,r.push.apply(r,s),s[6]=-1,r.push.apply(r,s),s[i]=o,r.push.apply(r,s),r.push.apply(r,s),s[6]=1,r.push.apply(r,s),s[i]=a,r.push.apply(r,s)}o(0,0,0,0,0,1),o(0,0,0,1,0,1),o(0,0,0,2,0,1),o(1,0,0,1,-1,1),o(1,0,0,2,-1,1),o(0,1,0,0,-1,1),o(0,1,0,2,-1,1),o(0,0,1,0,-1,1),o(0,0,1,1,-1,1);var l=n(t,r),c=i(t,[{type:t.FLOAT,buffer:l,size:3,offset:0,stride:28},{type:t.FLOAT,buffer:l,size:3,offset:12,stride:28},{type:t.FLOAT,buffer:l,size:1,offset:24,stride:28}]),u=a(t);u.attributes.position.location=0,u.attributes.color.location=1,u.attributes.weight.location=2;var f=new s(t,l,c,u);return f.update(e),f};var o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n,this.pixelRatio=1,this.bounds=[[-1e3,-1e3,-1e3],[1e3,1e3,1e3]],this.position=[0,0,0],this.lineWidth=[2,2,2],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.enabled=[!0,!0,!0],this.drawSides=[!0,!0,!0],this.axes=null}var l=s.prototype,c=[0,0,0],u=[0,0,0],f=[0,0];l.isTransparent=function(){return!1},l.drawTransparent=function(t){},l.draw=function(t){var e=this.gl,r=this.vao,n=this.shader;r.bind(),n.bind();var i,a=t.model||o,s=t.view||o,l=t.projection||o;this.axes&&(i=this.axes.lastCubeProps.axis);for(var h=c,p=u,d=0;d<3;++d)i&&i[d]<0?(h[d]=this.bounds[0][d],p[d]=this.bounds[1][d]):(h[d]=this.bounds[1][d],p[d]=this.bounds[0][d]);f[0]=e.drawingBufferWidth,f[1]=e.drawingBufferHeight,n.uniforms.model=a,n.uniforms.view=s,n.uniforms.projection=l,n.uniforms.coordinates=[this.position,h,p],n.uniforms.colors=this.colors,n.uniforms.screenShape=f;for(d=0;d<3;++d)n.uniforms.lineWidth=this.lineWidth[d]*this.pixelRatio,this.enabled[d]&&(r.draw(e.TRIANGLES,6,6*d),this.drawSides[d]&&r.draw(e.TRIANGLES,12,18+12*d));r.unbind()},l.update=function(t){t&&("bounds"in t&&(this.bounds=t.bounds),"position"in t&&(this.position=t.position),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"colors"in t&&(this.colors=t.colors),"enabled"in t&&(this.enabled=t.enabled),"drawSides"in t&&(this.drawSides=t.drawSides))},l.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{"./shaders/index":140,"gl-buffer":78,"gl-vao":150}],142:[function(t,e,r){var n=t("glslify"),i=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the tube vertex and normal at the given index.\n//\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n//\n// Each tube segment is made up of a ring of vertices.\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n// The indexes of tube segments run from 0 to 8.\n//\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n  float segmentCount = 8.0;\n\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d);\n  vec3 y = v * sin(angle) * length(d);\n  vec3 v3 = x + y;\n\n  normal = normalize(v3);\n\n  return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 color, position;\nattribute vec2 uv;\n\nuniform float vectorScale, tubeScale;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 eyePosition, lightPosition;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  // Scale the vector magnitude to stay constant with\n  // model & view changes.\n  vec3 normal;\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * tubePosition;\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\n  vec4 t_position  = view * tubePosition;\n  gl_Position      = projection * t_position;\n\n  f_color          = color;\n  f_data           = tubePosition.xyz;\n  f_position       = position.xyz;\n  f_uv             = uv;\n}\n"]),a=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness,\n  float fresnel) {\n\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n  //Half angle vector\n  vec3 H = normalize(lightDirection + viewDirection);\n\n  //Geometric term\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\n  float VdotH = max(dot(viewDirection, H), 0.000001);\n  float LdotH = max(dot(lightDirection, H), 0.000001);\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\n  float G = min(1.0, min(G1, G2));\n  \n  //Distribution term\n  float D = beckmannDistribution(NdotH, roughness);\n\n  //Fresnel term\n  float F = pow(1.0 - VdotN, fresnel);\n\n  //Multiply terms and done\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n  vec3 N = normalize(f_normal);\n  vec3 L = normalize(f_lightDirection);\n  vec3 V = normalize(f_eyeDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the tube vertex and normal at the given index.\n//\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n//\n// Each tube segment is made up of a ring of vertices.\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n// The indexes of tube segments run from 0 to 8.\n//\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n  float segmentCount = 8.0;\n\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d);\n  vec3 y = v * sin(angle) * length(d);\n  vec3 v3 = x + y;\n\n  normal = normalize(v3);\n\n  return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float tubeScale;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  vec3 normal;\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n  gl_Position = projection * view * tubePosition;\n  f_id        = id;\n  f_position  = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec4"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec4"}]}},{glslify:231}],143:[function(t,e,r){"use strict";var n=t("gl-vec3"),i=t("gl-vec4"),a=["xyz","xzy","yxz","yzx","zxy","zyx"],o=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++)o=Math.max(o,n.length(l[c]));var u=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],f=[],h=[],p=[],d=[],m=0,g=0,v=i.create(),y=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(_)/a,v=i.create(),n.copy(v,_),v[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;c.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(y,v,v,v,y,y),d.push(m,g,g,g,m,m);var A=c.length;u.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=y;y=v,v=S;var E=m;m=g,g=E}return{positions:c,cells:u,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<u.length;s++){var m=u[s],g=f.length;f=f.concat(m.positions),p=p.concat(m.vectors),d=d.concat(m.vertexIntensity);for(c=0;c<m.cells.length;c++){var v=m.cells[c],y=[];h.push(y);for(var x=0;x<v.length;x++)y.push(v[x]+g)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}},s=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},l=function(t,e,r){return t<e?e:t>r?r:t},c=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};e.exports=function(t,e){var r=t.startingPositions,i=t.maxLength||1e3,u=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||"+x+y+z",p={};-1!==h.indexOf("-x")&&(p.reversedX=!0),-1!==h.indexOf("-y")&&(p.reversedY=!0),-1!==h.indexOf("-z")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,"").replace(/\+/g,""));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,o=t[0],c=t[1],u=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=s(a[0],o),m=s(a[1],c),g=s(a[2],u),v=d+1,y=m+1,x=g+1;if(d=l(d,0,f-1),v=l(v,0,f-1),m=l(m,0,h-1),y=l(y,0,h-1),g=l(g,0,p-1),x=l(x,0,p-1),d<0||m<0||g<0||v>f-1||y>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][v],E=a[1][m],L=a[1][y],C=a[2][g],P=(o-M)/(S-M),I=(c-E)/(L-E),O=(u-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(I)||(I=.5),isFinite(O)||(O=.5),r.reversedX&&(d=f-1-d,v=f-1-v),r.reversedY&&(m=h-1-m,y=h-1-y),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=m*p,T=y*p,b=d*p*h,_=v*p*h;break;case 4:k=g,A=x,b=d*p,_=v*p,w=m*p*f,T=y*p*f;break;case 3:w=m,T=y,k=g*h,A=x*h,b=d*h*p,_=v*h*p;break;case 2:w=m,T=y,b=d*h,_=v*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=v,k=g*f,A=x*f,w=m*f*p,T=y*f*p;break;default:b=d,_=v,w=m*f,T=y*f,k=g*f*h,A=x*f*h}var z=i[b+w+k],D=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),H=n.create(),q=n.create(),G=n.create();n.lerp(V,z,B,P),n.lerp(H,D,N,P),n.lerp(q,R,j,P),n.lerp(G,F,U,P);var Y=n.create(),W=n.create();n.lerp(Y,V,q,I),n.lerp(W,H,G,I);var Z=n.create();return n.lerp(Z,Y,W,O),Z}(e,t,p)},m=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],v=e[0][0],y=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<v||e>b||r<y||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/i,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,l=0;l<s;l++){var u=t[l],f=u[0],h=u[1],p=u[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=c(e),m=c(r),g=c(n),v=Math.min(d,m,g);return isFinite(v)?v:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],I=[],O=d(C),z=C;I.push(O);var D=[],R=m(C,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),g.push({points:P,velocities:I,divergences:D});for(var B=0;B<100*i&&P.length<i&&T(C);){B++;var N=n.clone(O),j=n.squaredLength(N);if(0===j)break;if(j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),O=d(N),n.squaredDistance(z,N)-A>-1e-4*A){P.push(N),z=N,I.push(O);R=m(N,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F)}C=N}}var U=o(g,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*u*M/S),U};var u=t("./lib/shaders"),f=t("gl-cone3d").createMesh;e.exports.createTubeMesh=function(t,e){return f(t,e,{shaders:u,traceType:"streamtube"})}},{"./lib/shaders":142,"gl-cone3d":79,"gl-vec3":169,"gl-vec4":205}],144:[function(t,e,r){var n=t("gl-shader"),i=t("glslify"),a=i(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute vec3 f;\nattribute vec3 normal;\n\nuniform vec3 objectOffset;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 lightPosition, eyePosition;\nuniform sampler2D colormap;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  vec3 localCoordinate = vec3(uv.zw, f.x);\n  worldCoordinate = objectOffset + localCoordinate;\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\n  vec4 clipPosition = projection * view * worldPosition;\n  gl_Position = clipPosition;\n  kill = f.y;\n  value = f.z;\n  planeCoordinate = uv.xy;\n\n  vColor = texture2D(colormap, vec2(value, value));\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * worldPosition;\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  lightDirection = lightPosition - cameraCoordinate.xyz;\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\n}\n"]),o=i(["precision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat beckmannSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness) {\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 lowerBound, upperBound;\nuniform float contourTint;\nuniform vec4 contourColor;\nuniform sampler2D colormap;\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform float vertexColor;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  if (\n    kill > 0.0 ||\n    vColor.a == 0.0 ||\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\n  ) discard;\n\n  vec3 N = normalize(surfaceNormal);\n  vec3 V = normalize(eyeDirection);\n  vec3 L = normalize(lightDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  //decide how to interpolate color \u2014 in vertex or in fragment\n  vec4 surfaceColor =\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\n    step(.5, vertexColor) * vColor;\n\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\n}\n"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute float f;\n\nuniform vec3 objectOffset;\nuniform mat3 permutation;\nuniform mat4 model, view, projection;\nuniform float height, zOffset;\nuniform sampler2D colormap;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\n  worldCoordinate = objectOffset + dataCoordinate;\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\n\n  vec4 clipPosition = projection * view * worldPosition;\n  clipPosition.z += zOffset;\n\n  gl_Position = clipPosition;\n  value = f + objectOffset.z;\n  kill = -1.0;\n  planeCoordinate = uv.zw;\n\n  vColor = texture2D(colormap, vec2(value, value));\n\n  //Don't do lighting for contours\n  surfaceNormal   = vec3(1,0,0);\n  eyeDirection    = vec3(0,1,0);\n  lightDirection  = vec3(0,0,1);\n}\n"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec2 shape;\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 surfaceNormal;\n\nvec2 splitFloat(float v) {\n  float vh = 255.0 * v;\n  float upper = floor(vh);\n  float lower = fract(vh);\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\n}\n\nvoid main() {\n  if ((kill > 0.0) ||\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\n\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\n}\n"]);r.createShader=function(t){var e=n(t,a,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,a,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,s,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{"gl-shader":132,glslify:231}],145:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=y(e),n=b(e),s=x(e),l=_(e),c=i(e),u=a(e,[{buffer:c,size:4,stride:40,offset:0},{buffer:c,size:3,stride:40,offset:16},{buffer:c,size:3,stride:40,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),m=o(e,1,256,e.RGBA,e.UNSIGNED_BYTE);m.minFilter=e.LINEAR,m.magFilter=e.LINEAR;var g=new M(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,m,s,l,f,h,p,d,[0,0,0]),v={levels:[[],[],[]]};for(var w in t)v[w]=t[w];return v.colormap=v.colormap||"jet",g.update(v),g};var n=t("bit-twiddle"),i=t("gl-buffer"),a=t("gl-vao"),o=t("gl-texture2d"),s=t("typedarray-pool"),l=t("colormap"),c=t("ndarray-ops"),u=t("ndarray-pack"),f=t("ndarray"),h=t("surface-nets"),p=t("gl-mat4/multiply"),d=t("gl-mat4/invert"),m=t("binary-search-bounds"),g=t("ndarray-gradient"),v=t("./lib/shaders"),y=v.createShader,x=v.createContourShader,b=v.createPickShader,_=v.createPickContourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],k=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function A(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=k[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();function M(t,e,r,n,i,a,o,l,c,u,h,p,d,m,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new A([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=m,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var S=M.prototype;S.genColormap=function(t,e){var r=!1,n=u([l({colormap:t,nshades:256,format:"rgba"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return c.divseq(n,255),this.hasAlphaScale=r,n},S.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},S.isOpaque=function(){return!this.isTransparent()},S.pickSlots=1,S.setPickBase=function(t){this.pickId=t};var E=[0,0,0],L={showSurface:!1,showContour:!1,projections:[w.slice(),w.slice(),w.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function C(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||E,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=L.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var c=L.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)c[i][n]=t.clipBounds[i][n];c[0][r]=-1e8,c[1][r]=1e8}return L.showSurface=o,L.showContour=s,L}var P={model:w,view:w,projection:w,inverseModel:w.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},I=w.slice(),O=[1,0,0,0,1,0,0,0,1];function z(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=P;n.model=t.model||w,n.view=t.view||w,n.projection=t.projection||w,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=O,n.vertexColor=this.vertexColor;var s=I;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var c=s[12+i];for(o=0;o<3;++o)c+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=c/l}var u=C(n,this);if(u.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[i],this._shader.uniforms.clipBounds=u.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=k[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=u.projections[i],f.uniforms.clipBounds=u.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=k[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var m=0;m<this.contourLevels[o].length;++m)m===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==m&&m-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][m]&&(f.uniforms.height=this.contourLevels[o][m],h.draw(r.LINES,this._contourCounts[o][m],this._contourOffsets[o][m]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=k[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=u.projections[o],f.uniforms.clipBounds=u.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}S.draw=function(t){return z.call(this,t,!1)},S.drawTransparent=function(t){return z.call(this,t,!0)};var D={model:w,view:w,projection:w,inverseModel:w,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function R(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function F(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function B(t){if(Array.isArray(t)){if(Array.isArray(t))return[F(t[0]),F(t[1]),F(t[2])];var e=F(t);return[e.slice(),e.slice(),e.slice()]}}S.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=D;r.model=t.model||w,r.view=t.view||w,r.projection=t.projection||w,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=O;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=C(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=k[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=k[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var c=0;c<this.contourLevels[a].length;++c)this._contourCounts[a][c]&&(s.uniforms.height=this.contourLevels[a][c],l.draw(e.LINES,this._contourCounts[a][c],this._contourOffsets[a][c]))}l.unbind()}},S.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var f=u?a:1-a,h=0;h<2;++h)for(var p=i+u,d=s+h,g=f*(h?l:1-l),v=0;v<3;++v)c[v]+=this._field[v].get(p,d)*g;for(var y=this._pickResult.level,x=0;x<3;++x)if(y[x]=m.le(this.contourLevels[x],c[x]),y[x]<0)this.contourLevels[x].length>0&&(y[x]=0);else if(y[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][y[x]],_=this.contourLevels[x][y[x]+1];Math.abs(b-c[x])>Math.abs(_-c[x])&&(y[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],v=0;v<3;++v)r.dataCoordinate[v]=this._field[v].get(r.index[0],r.index[1]);return r},S.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},S.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,"contourWidth"in t&&(this.contourWidth=R(t.contourWidth,Number)),"showContour"in t&&(this.showContour=R(t.showContour,Boolean)),"showSurface"in t&&(this.showSurface=!!t.showSurface),"contourTint"in t&&(this.contourTint=R(t.contourTint,Boolean)),"contourColor"in t&&(this.contourColor=B(t.contourColor)),"contourProject"in t&&(this.contourProject=R(t.contourProject,(function(t){return R(t,Boolean)}))),"surfaceProject"in t&&(this.surfaceProject=t.surfaceProject),"dynamicColor"in t&&(this.dynamicColor=B(t.dynamicColor)),"dynamicTint"in t&&(this.dynamicTint=R(t.dynamicTint,Number)),"dynamicWidth"in t&&(this.dynamicWidth=R(t.dynamicWidth,Number)),"opacity"in t&&(this.opacity=t.opacity),"opacityscale"in t&&(this.opacityscale=t.opacityscale),"colorBounds"in t&&(this.colorBounds=t.colorBounds),"vertexColor"in t&&(this.vertexColor=t.vertexColor?1:0),"colormap"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),"field"in t||"coords"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error("gl-surface: invalid coordinates for x/y");for(o=0;o<2;++o){var c=l[o];for(v=0;v<2;++v)if(c.shape[v]!==a[v])throw new Error("gl-surface: coords have incorrect shape");this.padField(this._field[o],c)}}else if(t.ticks){var u=t.ticks;if(!Array.isArray(u)||2!==u.length)throw new Error("gl-surface: invalid ticks");for(o=0;o<2;++o){var p=u[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error("gl-surface: invalid tick length");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var m=[0,0];m[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],m,0)}this._field[0].set(0,0,0);for(var v=0;v<a[0];++v)this._field[0].set(v+1,0,v);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),v=0;v<a[1];++v)this._field[1].set(0,v+1,v);this._field[1].set(0,a[1]+1,a[1]-1)}var y=this._field,x=f(s.mallocFloat(3*y[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),y[o],"mirror");var b=f(s.mallocFloat(3*y[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(v=0;v<a[1]+2;++v){var _=x.get(0,o,v,0),w=x.get(0,o,v,1),k=x.get(1,o,v,0),A=x.get(1,o,v,1),M=x.get(2,o,v,0),S=x.get(2,o,v,1),E=k*S-A*M,L=M*w-S*_,C=_*A-w*k,P=Math.sqrt(E*E+L*L+C*C);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,v,0,E*P),b.set(o,v,1,L*P),b.set(o,v,2,C*P)}s.free(x.data);var I=[1/0,1/0,1/0],O=[-1/0,-1/0,-1/0],z=1/0,D=-1/0,F=(a[0]-1)*(a[1]-1)*6,N=s.mallocFloat(n.nextPow2(10*F)),j=0,U=0;for(o=0;o<a[0]-1;++o)t:for(v=0;v<a[1]-1;++v){for(var V=0;V<2;++V)for(var H=0;H<2;++H)for(var q=0;q<3;++q){var G=this._field[q].get(1+o+V,1+v+H);if(isNaN(G)||!isFinite(G))continue t}for(q=0;q<6;++q){var Y=o+T[q][0],W=v+T[q][1],Z=this._field[0].get(Y+1,W+1),X=this._field[1].get(Y+1,W+1);G=this._field[2].get(Y+1,W+1),E=b.get(Y+1,W+1,0),L=b.get(Y+1,W+1,1),C=b.get(Y+1,W+1,2),t.intensity&&(J=t.intensity.get(Y,W));var J=t.intensity?t.intensity.get(Y,W):G+this.objectOffset[2];N[j++]=Y,N[j++]=W,N[j++]=Z,N[j++]=X,N[j++]=G,N[j++]=0,N[j++]=J,N[j++]=E,N[j++]=L,N[j++]=C,I[0]=Math.min(I[0],Z+this.objectOffset[0]),I[1]=Math.min(I[1],X+this.objectOffset[1]),I[2]=Math.min(I[2],G+this.objectOffset[2]),z=Math.min(z,J),O[0]=Math.max(O[0],Z+this.objectOffset[0]),O[1]=Math.max(O[1],X+this.objectOffset[1]),O[2]=Math.max(O[2],G+this.objectOffset[2]),D=Math.max(D,J),U+=1}}for(t.intensityBounds&&(z=+t.intensityBounds[0],D=+t.intensityBounds[1]),o=6;o<j;o+=10)N[o]=(N[o]-z)/(D-z);this._vertexCount=U,this._coordinateBuffer.update(N.subarray(0,j)),s.freeFloat(N),s.free(b.data),this.bounds=[I,O],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===z&&this.intensityBounds[1]===D||(r=!0),this.intensityBounds=[z,D]}if("levels"in t){var K=t.levels;for(K=Array.isArray(K[0])?K.slice():[[],[],K],o=0;o<3;++o)K[o]=K[o].slice(),K[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(v=0;v<K[o].length;++v)K[o][v]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(K[o].length!==this.contourLevels[o].length){r=!0;break}for(v=0;v<K[o].length;++v)if(K[o][v]!==this.contourLevels[o][v]){r=!0;break t}}this.contourLevels=K}if(r){y=this._field,a=this.shape;for(var Q=[],$=0;$<3;++$){var tt=this.contourLevels[$],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[$],tt[o]);et.push(Q.length/5|0),U=0;t:for(v=0;v<it.cells.length;++v){var at=it.cells[v];for(q=0;q<2;++q){var ot=it.positions[at[q]],st=ot[0],lt=0|Math.floor(st),ct=st-lt,ut=ot[1],ft=0|Math.floor(ut),ht=ut-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var mt=($+dt+1)%3;for(V=0;V<2;++V){var gt=V?ct:1-ct;for(Y=0|Math.min(Math.max(lt+V,0),a[0]),H=0;H<2;++H){var vt=H?ht:1-ht;if(W=0|Math.min(Math.max(ft+H,0),a[1]),G=dt<2?this._field[mt].get(Y,W):(this.intensity.get(Y,W)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var yt=gt*vt;nt[dt]+=yt*G}}}if(pt){if(q>0){for(var xt=0;xt<5;++xt)Q.pop();U-=1}continue t}Q.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[$]=et,this._contourCounts[$]=rt}var bt=s.mallocFloat(Q.length);for(o=0;o<Q.length;++o)bt[o]=Q[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},S.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},S.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],f=this._field[l],p=this._field[c],d=h(u,r[o]),m=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<m.length;++e)for(var v=m[e],y=0;y<2;++y){var x=g[v[y]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,k=1-T,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,L=1-E,C=k*L,P=k*E,I=T*L,O=T*E,z=C*f.get(_,M)+P*f.get(_,S)+I*f.get(w,M)+O*f.get(w,S),D=C*p.get(_,M)+P*p.get(_,S)+I*p.get(w,M)+O*p.get(w,S);if(isNaN(z)||isNaN(D)){y&&(n-=1);break}a[2*n+0]=z,a[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},{"./lib/shaders":144,"binary-search-bounds":31,"bit-twiddle":32,colormap:53,"gl-buffer":78,"gl-mat4/invert":98,"gl-mat4/multiply":100,"gl-texture2d":146,"gl-vao":150,ndarray:259,"ndarray-gradient":252,"ndarray-ops":254,"ndarray-pack":255,"surface-nets":302,"typedarray-pool":308}],146:[function(t,e,r){"use strict";var n=t("ndarray"),i=t("ndarray-ops"),a=t("typedarray-pool");e.exports=function(t){if(arguments.length<=1)throw new Error("gl-texture2d: Missing arguments for texture2d constructor");o||c(t);if("number"==typeof arguments[1])return v(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return v(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if("object"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return y(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return x(t,e)}throw new Error("gl-texture2d: Invalid arguments for texture2d constructor")};var o=null,s=null,l=null;function c(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function u(t){return"undefined"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||"undefined"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||"undefined"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||"undefined"!=typeof ImageData&&t instanceof ImageData}var f=function(t,e){i.muls(t,e,255)};function h(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error("gl-texture2d: Invalid texture size");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function p(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var d=p.prototype;function m(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function g(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function v(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error("gl-texture2d: Invalid texture shape");if(i===t.FLOAT&&!t.getExtension("OES_texture_float"))throw new Error("gl-texture2d: Floating point textures not supported on this platform");var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new p(t,o,e,r,n,i)}function y(t,e,r,n,i,a){var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new 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+/*!
+ * Determine if an object is a Buffer
+ *
+ * @author   Feross Aboukhadijeh <https://feross.org>
+ * @license  MIT
+ */
+e.exports=function(t){return null!=t&&(n(t)||function(t){return"function"==typeof t.readFloatLE&&"function"==typeof t.slice&&n(t.slice(0,0))}(t)||!!t._isBuffer)}},{}],238:[function(t,e,r){"use strict";e.exports=a,e.exports.isMobile=a,e.exports.default=a;var n=/(android|bb\d+|meego).+mobile|avantgo|bada\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\/|plucker|pocket|psp|series[46]0|symbian|treo|up\.(browser|link)|vodafone|wap|windows (ce|phone)|xda|xiino/i,i=/(android|bb\d+|meego).+mobile|avantgo|bada\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\/|plucker|pocket|psp|series[46]0|symbian|treo|up\.(browser|link)|vodafone|wap|windows (ce|phone)|xda|xiino|android|ipad|playbook|silk/i;function a(t){t||(t={});var e=t.ua;if(e||"undefined"==typeof 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+ * Licensed under the MIT License.
+ */
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c=0;c<16;++c)this.computedMatrix[c]=.5;this.recalcMatrix(0)}var p=h.prototype;p.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-1/0,e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},p.getDistanceLimits=function(t){var e=this.radius.bounds[0];return t?(t[0]=Math.exp(e[0][0]),t[1]=Math.exp(e[1][0]),t):[Math.exp(e[0][0]),Math.exp(e[1][0])]},p.recalcMatrix=function(t){this.center.curve(t),this.up.curve(t),this.right.curve(t),this.radius.curve(t),this.angle.curve(t);for(var e=this.computedUp,r=this.computedRight,n=0,i=0,a=0;a<3;++a)i+=e[a]*r[a],n+=e[a]*e[a];var l=Math.sqrt(n),u=0;for(a=0;a<3;++a)r[a]-=e[a]*i/n,u+=r[a]*r[a],e[a]/=l;var f=Math.sqrt(u);for(a=0;a<3;++a)r[a]/=f;var h=this.computedToward;o(h,e,r),s(h,h);var p=Math.exp(this.computedRadius[0]),d=this.computedAngle[0],m=this.computedAngle[1],g=Math.cos(d),v=Math.sin(d),y=Math.cos(m),x=Math.sin(m),b=this.computedCenter,_=g*y,w=v*y,T=x,k=-g*x,A=-v*x,M=y,S=this.computedEye,E=this.computedMatrix;for(a=0;a<3;++a){var L=_*r[a]+w*h[a]+T*e[a];E[4*a+1]=k*r[a]+A*h[a]+M*e[a],E[4*a+2]=L,E[4*a+3]=0}var C=E[1],P=E[5],I=E[9],O=E[2],z=E[6],D=E[10],R=P*D-I*z,F=I*O-C*D,B=C*z-P*O,N=c(R,F,B);R/=N,F/=N,B/=N,E[0]=R,E[4]=F,E[8]=B;for(a=0;a<3;++a)S[a]=b[a]+E[2+4*a]*p;for(a=0;a<3;++a){u=0;for(var j=0;j<3;++j)u+=E[a+4*j]*S[j];E[12+a]=-u}E[15]=1},p.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r};var d=[0,0,0];p.rotate=function(t,e,r,n){if(this.angle.move(t,e,r),n){this.recalcMatrix(t);var i=this.computedMatrix;d[0]=i[2],d[1]=i[6],d[2]=i[10];for(var o=this.computedUp,s=this.computedRight,l=this.computedToward,c=0;c<3;++c)i[4*c]=o[c],i[4*c+1]=s[c],i[4*c+2]=l[c];a(i,i,n,d);for(c=0;c<3;++c)o[c]=i[4*c],s[c]=i[4*c+1];this.up.set(t,o[0],o[1],o[2]),this.right.set(t,s[0],s[1],s[2])}},p.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var i=this.computedMatrix,a=(Math.exp(this.computedRadius[0]),i[1]),o=i[5],s=i[9],l=c(a,o,s);a/=l,o/=l,s/=l;var u=i[0],f=i[4],h=i[8],p=u*a+f*o+h*s,d=c(u-=a*p,f-=o*p,h-=s*p),m=(u/=d)*e+a*r,g=(f/=d)*e+o*r,v=(h/=d)*e+s*r;this.center.move(t,m,g,v);var y=Math.exp(this.computedRadius[0]);y=Math.max(1e-4,y+n),this.radius.set(t,Math.log(y))},p.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},p.setMatrix=function(t,e,r,n){var a=1;"number"==typeof r&&(a=0|r),(a<0||a>3)&&(a=1);var o=(a+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var s=e[a],l=e[a+4],f=e[a+8];if(n){var h=Math.abs(s),p=Math.abs(l),d=Math.abs(f),m=Math.max(h,p,d);h===m?(s=s<0?-1:1,l=f=0):d===m?(f=f<0?-1:1,s=l=0):(l=l<0?-1:1,s=f=0)}else{var g=c(s,l,f);s/=g,l/=g,f/=g}var v,y,x=e[o],b=e[o+4],_=e[o+8],w=x*s+b*l+_*f,T=c(x-=s*w,b-=l*w,_-=f*w),k=l*(_/=T)-f*(b/=T),A=f*(x/=T)-s*_,M=s*b-l*x,S=c(k,A,M);if(k/=S,A/=S,M/=S,this.center.jump(t,q,G,Y),this.radius.idle(t),this.up.jump(t,s,l,f),this.right.jump(t,x,b,_),2===a){var E=e[1],L=e[5],C=e[9],P=E*x+L*b+C*_,I=E*k+L*A+C*M;v=R<0?-Math.PI/2:Math.PI/2,y=Math.atan2(I,P)}else{var O=e[2],z=e[6],D=e[10],R=O*s+z*l+D*f,F=O*x+z*b+D*_,B=O*k+z*A+D*M;v=Math.asin(u(R)),y=Math.atan2(B,F)}this.angle.jump(t,y,v),this.recalcMatrix(t);var N=e[2],j=e[6],U=e[10],V=this.computedMatrix;i(V,e);var H=V[15],q=V[12]/H,G=V[13]/H,Y=V[14]/H,W=Math.exp(this.computedRadius[0]);this.center.jump(t,q-N*W,G-j*W,Y-U*W)},p.lastT=function(){return Math.max(this.center.lastT(),this.up.lastT(),this.right.lastT(),this.radius.lastT(),this.angle.lastT())},p.idle=function(t){this.center.idle(t),this.up.idle(t),this.right.idle(t),this.radius.idle(t),this.angle.idle(t)},p.flush=function(t){this.center.flush(t),this.up.flush(t),this.right.flush(t),this.radius.flush(t),this.angle.flush(t)},p.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},p.lookAt=function(t,e,r,n){this.recalcMatrix(t),e=e||this.computedEye,r=r||this.computedCenter;var i=(n=n||this.computedUp)[0],a=n[1],o=n[2],s=c(i,a,o);if(!(s<1e-6)){i/=s,a/=s,o/=s;var l=e[0]-r[0],f=e[1]-r[1],h=e[2]-r[2],p=c(l,f,h);if(!(p<1e-6)){l/=p,f/=p,h/=p;var d=this.computedRight,m=d[0],g=d[1],v=d[2],y=i*m+a*g+o*v,x=c(m-=y*i,g-=y*a,v-=y*o);if(!(x<.01&&(x=c(m=a*h-o*f,g=o*l-i*h,v=i*f-a*l))<1e-6)){m/=x,g/=x,v/=x,this.up.set(t,i,a,o),this.right.set(t,m,g,v),this.center.set(t,r[0],r[1],r[2]),this.radius.set(t,Math.log(p));var b=a*v-o*g,_=o*m-i*v,w=i*g-a*m,T=c(b,_,w),k=i*l+a*f+o*h,A=m*l+g*f+v*h,M=(b/=T)*l+(_/=T)*f+(w/=T)*h,S=Math.asin(u(k)),E=Math.atan2(M,A),L=this.angle._state,C=L[L.length-1],P=L[L.length-2];C%=2*Math.PI;var I=Math.abs(C+2*Math.PI-E),O=Math.abs(C-E),z=Math.abs(C-2*Math.PI-E);I<O&&(C+=2*Math.PI),z<O&&(C-=2*Math.PI),this.angle.jump(this.angle.lastT(),C,P),this.angle.set(t,E,S)}}}}},{"filtered-vector":68,"gl-mat4/invert":98,"gl-mat4/rotate":103,"gl-vec3/cross":157,"gl-vec3/dot":162,"gl-vec3/normalize":179}],306:[function(t,e,r){"use strict";e.exports=function(t,e,r){var i=t*e,a=n*t,o=a-(a-t),s=t-o,l=n*e,c=l-(l-e),u=e-c,f=s*u-(i-o*c-s*c-o*u);if(r)return r[0]=f,r[1]=i,r;return[f,i]};var n=+(Math.pow(2,27)+1)},{}],307:[function(t,e,r){"use strict";e.exports=function(t,e,r){var n=t+e,i=n-t,a=e-i,o=t-(n-i);if(r)return r[0]=o+a,r[1]=n,r;return[o+a,n]}},{}],308:[function(t,e,r){(function(e){(function(){"use strict";var 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                       {"responsive": true}                    )                };                            </script> </div>
+</body>
+</html></div></div>
+</div>
+</section>
+<section id="getting-the-model-for-evaluating-and-predicting">
+<h3>Getting the model for evaluating and predicting<a class="headerlink" href="#getting-the-model-for-evaluating-and-predicting" title="Permalink to this headline">#</a></h3>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">model_path</span> <span class="o">=</span> <span class="n">train_run</span><span class="o">.</span><span class="n">outputs</span><span class="p">[</span><span class="s1">'model'</span><span class="p">]</span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+</section>
+<section id="optimize-the-model">
+<h2><strong>Optimize the model</strong><a class="headerlink" href="#optimize-the-model" title="Permalink to this headline">#</a></h2>
+<p>Choosing the <code class="docutils literal notranslate"><span class="pre">optimize</span></code> handler</p>
+<p>The result of using this handled is an onnx optimized model.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">optimize_run</span> <span class="o">=</span> <span class="n">hugging_face_classifier_trainer</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">params</span><span class="o">=</span><span class="p">{</span>
+                                                        <span class="s2">"model_path"</span><span class="p">:</span> <span class="nb">str</span><span class="p">(</span><span class="n">model_path</span><span class="p">)</span>
+                                                    <span class="p">},</span>
+                                                    <span class="n">handler</span><span class="o">=</span><span class="s2">"optimize"</span><span class="p">,</span>
+                                                    <span class="n">local</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+                                                <span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&gt; 2024-03-24 17:12:02,020 [info] Storing function: {'name': 'hugging-face-classifier-trainer-optimize', 'uid': 'fbee1ead18444824a4b5c0308a677bf4', 'db': 'http://mlrun-api:8080'}
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/User/.pythonlibs/mlrun-base/lib/python3.9/site-packages/optimum/onnxruntime/configuration.py:726: FutureWarning:
+
+disable_embed_layer_norm will be deprecated soon, use disable_embed_layer_norm_fusion instead, disable_embed_layer_norm_fusion is set to True.
+
+loading configuration file /tmp/config.json
+Model config DistilBertConfig {
+  "_name_or_path": "/tmp/config.json",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "initializer_range": 0.02,
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "pad_token_id": 0,
+  "problem_type": "single_label_classification",
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.26.1",
+  "vocab_size": 30522
+}
+
+loading configuration file /tmp/config.json
+Model config DistilBertConfig {
+  "_name_or_path": "/tmp",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "initializer_range": 0.02,
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "pad_token_id": 0,
+  "problem_type": "single_label_classification",
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.26.1",
+  "vocab_size": 30522
+}
+
+loading weights file /tmp/pytorch_model.bin
+All model checkpoint weights were used when initializing DistilBertForSequenceClassification.
+
+All the weights of DistilBertForSequenceClassification were initialized from the model checkpoint at /tmp.
+If your task is similar to the task the model of the checkpoint was trained on, you can already use DistilBertForSequenceClassification for predictions without further training.
+/User/.pythonlibs/mlrun-base/lib/python3.9/site-packages/transformers/models/distilbert/modeling_distilbert.py:218: TracerWarning:
+
+torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
+
+Configuration saved in /tmp/tmp79wjp8m8/config.json
+Could not locate the tokenizer configuration file, will try to use the model config instead.
+loading configuration file /tmp/config.json
+Model config DistilBertConfig {
+  "_name_or_path": "/tmp",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "initializer_range": 0.02,
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "pad_token_id": 0,
+  "problem_type": "single_label_classification",
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.26.1",
+  "vocab_size": 30522
+}
+
+loading configuration file /tmp/config.json
+Model config DistilBertConfig {
+  "_name_or_path": "/tmp",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "initializer_range": 0.02,
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "pad_token_id": 0,
+  "problem_type": "single_label_classification",
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.26.1",
+  "vocab_size": 30522
+}
+
+Could not locate the tokenizer configuration file, will try to use the model config instead.
+loading configuration file /tmp/config.json
+Model config DistilBertConfig {
+  "_name_or_path": "/tmp",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "initializer_range": 0.02,
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "pad_token_id": 0,
+  "problem_type": "single_label_classification",
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.26.1",
+  "vocab_size": 30522
+}
+
+Could not locate the tokenizer configuration file, will try to use the model config instead.
+loading configuration file /tmp/tmp79wjp8m8/config.json
+Model config DistilBertConfig {
+  "_name_or_path": "/tmp/tmp79wjp8m8",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "initializer_range": 0.02,
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "pad_token_id": 0,
+  "problem_type": "single_label_classification",
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.26.1",
+  "vocab_size": 30522
+}
+
+loading configuration file /tmp/tmp79wjp8m8/config.json
+Model config DistilBertConfig {
+  "_name_or_path": "/tmp/tmp79wjp8m8",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "initializer_range": 0.02,
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "pad_token_id": 0,
+  "problem_type": "single_label_classification",
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.26.1",
+  "vocab_size": 30522
+}
+
+Could not locate the tokenizer configuration file, will try to use the model config instead.
+loading configuration file /tmp/tmp79wjp8m8/config.json
+Model config DistilBertConfig {
+  "_name_or_path": "/tmp/tmp79wjp8m8",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "initializer_range": 0.02,
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "pad_token_id": 0,
+  "problem_type": "single_label_classification",
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.26.1",
+  "vocab_size": 30522
+}
+
+Configuration saved in optimized/config.json
+Could not locate the tokenizer configuration file, will try to use the model config instead.
+loading configuration file /tmp/tmp79wjp8m8/config.json
+Model config DistilBertConfig {
+  "_name_or_path": "/tmp/tmp79wjp8m8",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "initializer_range": 0.02,
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "pad_token_id": 0,
+  "problem_type": "single_label_classification",
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.26.1",
+  "vocab_size": 30522
+}
+
+loading configuration file /tmp/tmp79wjp8m8/config.json
+Model config DistilBertConfig {
+  "_name_or_path": "/tmp/tmp79wjp8m8",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "initializer_range": 0.02,
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "pad_token_id": 0,
+  "problem_type": "single_label_classification",
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.26.1",
+  "vocab_size": 30522
+}
+
+Could not locate the tokenizer configuration file, will try to use the model config instead.
+loading configuration file /tmp/tmp79wjp8m8/config.json
+Model config DistilBertConfig {
+  "_name_or_path": "/tmp/tmp79wjp8m8",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "initializer_range": 0.02,
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "pad_token_id": 0,
+  "problem_type": "single_label_classification",
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.26.1",
+  "vocab_size": 30522
+}
+
+Failed to remove node input: "/distilbert/transformer/layer.0/attention/Transpose_output_0"
+input: "/distilbert/transformer/layer.0/attention/Constant_11_output_0"
+output: "/distilbert/transformer/layer.0/attention/Div_output_0"
+name: "/distilbert/transformer/layer.0/attention/Div"
+op_type: "Div"
+
+Failed to remove node input: "/distilbert/transformer/layer.1/attention/Transpose_output_0"
+input: "/distilbert/transformer/layer.1/attention/Constant_11_output_0"
+output: "/distilbert/transformer/layer.1/attention/Div_output_0"
+name: "/distilbert/transformer/layer.1/attention/Div"
+op_type: "Div"
+
+Failed to remove node input: "/distilbert/transformer/layer.2/attention/Transpose_output_0"
+input: "/distilbert/transformer/layer.2/attention/Constant_11_output_0"
+output: "/distilbert/transformer/layer.2/attention/Div_output_0"
+name: "/distilbert/transformer/layer.2/attention/Div"
+op_type: "Div"
+
+Failed to remove node input: "/distilbert/transformer/layer.3/attention/Transpose_output_0"
+input: "/distilbert/transformer/layer.3/attention/Constant_11_output_0"
+output: "/distilbert/transformer/layer.3/attention/Div_output_0"
+name: "/distilbert/transformer/layer.3/attention/Div"
+op_type: "Div"
+
+Failed to remove node input: "/distilbert/transformer/layer.4/attention/Transpose_output_0"
+input: "/distilbert/transformer/layer.4/attention/Constant_11_output_0"
+output: "/distilbert/transformer/layer.4/attention/Div_output_0"
+name: "/distilbert/transformer/layer.4/attention/Div"
+op_type: "Div"
+
+Failed to remove node input: "/distilbert/transformer/layer.5/attention/Transpose_output_0"
+input: "/distilbert/transformer/layer.5/attention/Constant_11_output_0"
+output: "/distilbert/transformer/layer.5/attention/Div_output_0"
+name: "/distilbert/transformer/layer.5/attention/Div"
+op_type: "Div"
+
+Configuration saved in optimized/config.json
+</pre></div>
+</div>
+<div class="output text_html"><style>
+.dictlist {
+  background-color: #4EC64B;
+  text-align: center;
+  margin: 4px;
+  border-radius: 3px; padding: 0px 3px 1px 3px; display: inline-block;}
+.artifact {
+  cursor: pointer;
+  background-color: #4EC64B;
+  text-align: left;
+  margin: 4px; border-radius: 3px; padding: 0px 3px 1px 3px; display: inline-block;
+}
+div.block.hidden {
+  display: none;
+}
+.clickable {
+  cursor: pointer;
+}
+.ellipsis {
+  display: inline-block;
+  max-width: 60px;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+}
+.master-wrapper {
+  display: flex;
+  flex-flow: row nowrap;
+  justify-content: flex-start;
+  align-items: stretch;
+}
+.master-tbl {
+  flex: 3
+}
+.master-wrapper > div {
+  margin: 4px;
+  padding: 10px;
+}
+iframe.fileview {
+  border: 0 none;
+  height: 100%;
+  width: 100%;
+  white-space: pre-wrap;
+}
+.pane-header-title {
+  width: 80%;
+  font-weight: 500;
+}
+.pane-header {
+  line-height: 1;
+  background-color: #4EC64B;
+  padding: 3px;
+}
+.pane-header .close {
+  font-size: 20px;
+  font-weight: 700;
+  float: right;
+  margin-top: -5px;
+}
+.master-wrapper .right-pane {
+  border: 1px inset silver;
+  width: 40%;
+  min-height: 300px;
+  flex: 3
+  min-width: 500px;
+}
+.master-wrapper * {
+  box-sizing: border-box;
+}
+</style><script>
+function copyToClipboard(fld) {
+    if (document.queryCommandSupported && document.queryCommandSupported('copy')) {
+        var textarea = document.createElement('textarea');
+        textarea.textContent = fld.innerHTML;
+        textarea.style.position = 'fixed';
+        document.body.appendChild(textarea);
+        textarea.select();
+
+        try {
+            return document.execCommand('copy'); // Security exception may be thrown by some browsers.
+        } catch (ex) {
+
+        } finally {
+            document.body.removeChild(textarea);
+        }
+    }
+}
+function expandPanel(el) {
+  const panelName = "#" + el.getAttribute('paneName');
+  console.log(el.title);
+
+  document.querySelector(panelName + "-title").innerHTML = el.title
+  iframe = document.querySelector(panelName + "-body");
+
+  const tblcss = `<style> body { font-family: Arial, Helvetica, sans-serif;}
+    #csv { margin-bottom: 15px; }
+    #csv table { border-collapse: collapse;}
+    #csv table td { padding: 4px 8px; border: 1px solid silver;} </style>`;
+
+  function csvToHtmlTable(str) {
+    return '<div id="csv"><table><tr><td>' +  str.replace(/[\n\r]+$/g, '').replace(/[\n\r]+/g, '</td></tr><tr><td>')
+      .replace(/,/g, '</td><td>') + '</td></tr></table></div>';
+  }
+
+  function reqListener () {
+    if (el.title.endsWith(".csv")) {
+      iframe.setAttribute("srcdoc", tblcss + csvToHtmlTable(this.responseText));
+    } else {
+      iframe.setAttribute("srcdoc", this.responseText);
+    }
+    console.log(this.responseText);
+  }
+
+  const oReq = new XMLHttpRequest();
+  oReq.addEventListener("load", reqListener);
+  oReq.open("GET", el.title);
+  oReq.send();
+
+
+  //iframe.src = el.title;
+  const resultPane = document.querySelector(panelName + "-pane");
+  if (resultPane.classList.contains("hidden")) {
+    resultPane.classList.remove("hidden");
+  }
+}
+function closePanel(el) {
+  const panelName = "#" + el.getAttribute('paneName')
+  const resultPane = document.querySelector(panelName + "-pane");
+  if (!resultPane.classList.contains("hidden")) {
+    resultPane.classList.add("hidden");
+  }
+}
+
+</script>
+<div class="master-wrapper">
+<div class="block master-tbl"><div>
+<style scoped="">
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+<thead>
+<tr style="text-align: right;">
+<th>project</th>
+<th>uid</th>
+<th>iter</th>
+<th>start</th>
+<th>state</th>
+<th>name</th>
+<th>labels</th>
+<th>inputs</th>
+<th>parameters</th>
+<th>results</th>
+<th>artifacts</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td>hugging-face-trainer-avia</td>
+<td><div title="fbee1ead18444824a4b5c0308a677bf4"><a href="https://dashboard.default-tenant.app.app-lab-2-b688.iguazio-cd2.com/mlprojects/hugging-face-trainer-avia/jobs/monitor/fbee1ead18444824a4b5c0308a677bf4/overview" target="_blank">...8a677bf4</a></div></td>
+<td>0</td>
+<td>Mar 24 17:12:02</td>
+<td>completed</td>
+<td>hugging-face-classifier-trainer-optimize</td>
+<td><div class="dictlist">v3io_user=avia</div><div class="dictlist">kind=local</div><div class="dictlist">owner=avia</div><div class="dictlist">host=jupyter-avia-6454bdd4c5-xz8cg</div></td>
+<td></td>
+<td><div class="dictlist">model_path=store://artifacts/hugging-face-trainer-avia/huggingface-model@514d8d5530c842238b1cc81983cd943e</div></td>
+<td></td>
+<td><div title="v3io:///projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-optimize/0/model/">model</div></td>
+</tr>
+</tbody>
+</table>
+</div></div>
+<div class="right-pane block hidden" id="result5fe848aa-pane">
+<div class="pane-header">
+<span class="pane-header-title" id="result5fe848aa-title">Title</span>
+<span class="close clickable" onclick="closePanel(this)" panename="result5fe848aa">×</span>
+</div>
+<iframe class="fileview" id="result5fe848aa-body"></iframe>
+</div>
+</div>
+</div><div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+<div class="output text_html"><b> &gt; to track results use the .show() or .logs() methods  or <a href="https://dashboard.default-tenant.app.app-lab-2-b688.iguazio-cd2.com/mlprojects/hugging-face-trainer-avia/jobs/monitor/fbee1ead18444824a4b5c0308a677bf4/overview" target="_blank">click here</a> to open in UI</b></div><div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&gt; 2024-03-24 17:12:22,721 [info] Run execution finished: {'status': 'completed', 'name': 'hugging-face-classifier-trainer-optimize'}
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">optimize_run</span><span class="o">.</span><span class="n">outputs</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>{'model': 'store://artifacts/hugging-face-trainer-avia/optimized_model@fbee1ead18444824a4b5c0308a677bf4'}
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="running-the-training-remotely">
+<h2><strong>Running the training remotely</strong><a class="headerlink" href="#running-the-training-remotely" title="Permalink to this headline">#</a></h2>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">project</span><span class="o">.</span><span class="n">build_function</span><span class="p">(</span><span class="s2">"hugging-face-classifier-trainer"</span><span class="p">,</span><span class="n">with_mlrun</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/User/.pythonlibs/mlrun-base/lib/python3.9/site-packages/mlrun/projects/operations.py:276: OverwriteBuildParamsWarning:
+
+The `overwrite_build_params` parameter default will change from 'False' to 'True' in 1.8.0.
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&gt; 2024-03-24 17:14:22,792 [info] Started building image: .mlrun/func-hugging-face-trainer-avia-hugging-face-classifier-trainer:latest
+<span class="-Color -Color-Cyan">INFO</span>[0000] Retrieving image manifest mlrun/mlrun:1.6.1  
+<span class="-Color -Color-Cyan">INFO</span>[0000] Retrieving image mlrun/mlrun:1.6.1 from registry index.docker.io 
+<span class="-Color -Color-Cyan">INFO</span>[0000] Built cross stage deps: map[]                
+<span class="-Color -Color-Cyan">INFO</span>[0000] Retrieving image manifest mlrun/mlrun:1.6.1  
+<span class="-Color -Color-Cyan">INFO</span>[0000] Returning cached image manifest              
+<span class="-Color -Color-Cyan">INFO</span>[0000] Executing 0 build triggers                   
+<span class="-Color -Color-Cyan">INFO</span>[0000] Building stage 'mlrun/mlrun:1.6.1' [idx: '0', base-idx: '-1'] 
+<span class="-Color -Color-Cyan">INFO</span>[0000] Unpacking rootfs as cmd RUN echo 'Installing /empty/requirements.txt...'; cat /empty/requirements.txt requires it. 
+<span class="-Color -Color-Cyan">INFO</span>[0047] RUN echo 'Installing /empty/requirements.txt...'; cat /empty/requirements.txt 
+<span class="-Color -Color-Cyan">INFO</span>[0047] Initializing snapshotter ...                 
+<span class="-Color -Color-Cyan">INFO</span>[0047] Taking snapshot of full filesystem...        
+<span class="-Color -Color-Cyan">INFO</span>[0074] Cmd: /bin/sh                                 
+<span class="-Color -Color-Cyan">INFO</span>[0074] Args: [-c echo 'Installing /empty/requirements.txt...'; cat /empty/requirements.txt] 
+<span class="-Color -Color-Cyan">INFO</span>[0074] Running: [/bin/sh -c echo 'Installing /empty/requirements.txt...'; cat /empty/requirements.txt] 
+Installing /empty/requirements.txt...
+mlrun[complete]==1.6.1
+onnx~=1.14.1
+onnxruntime~=1.16.1
+optimum~=1.6.4
+transformers~=4.26.1
+datasets~=2.10.1
+scikit-learn~=1.0.2
+<span class="-Color -Color-Cyan">INFO</span>[0074] Taking snapshot of full filesystem...        
+<span class="-Color -Color-Cyan">INFO</span>[0078] No files were changed, appending empty layer to config. No layer added to image. 
+<span class="-Color -Color-Cyan">INFO</span>[0078] RUN python -m pip install -r /empty/requirements.txt 
+<span class="-Color -Color-Cyan">INFO</span>[0078] Cmd: /bin/sh                                 
+<span class="-Color -Color-Cyan">INFO</span>[0078] Args: [-c python -m pip install -r /empty/requirements.txt] 
+<span class="-Color -Color-Cyan">INFO</span>[0078] Running: [/bin/sh -c python -m pip install -r /empty/requirements.txt] 
+Requirement already satisfied: mlrun[complete]==1.6.1 in /opt/conda/lib/python3.9/site-packages (from -r /empty/requirements.txt (line 1)) (1.6.1)
+Collecting onnx~=1.14.1 (from -r /empty/requirements.txt (line 2))
+  Obtaining dependency information for onnx~=1.14.1 from https://files.pythonhosted.org/packages/ff/24/0e522fdcadf0e15fc304145a5b6e5d7246d7f2c507fd9bfe6e1fafb2aa95/onnx-1.14.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata
+  Downloading onnx-1.14.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (15 kB)
+Collecting onnxruntime~=1.16.1 (from -r /empty/requirements.txt (line 3))
+  Obtaining dependency information for onnxruntime~=1.16.1 from https://files.pythonhosted.org/packages/de/ab/ed3ae0d649cee41e870f8b1653cf4a1c1fc321e0ded4e3e1a3d4a25c0131/onnxruntime-1.16.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata
+  Downloading onnxruntime-1.16.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (4.3 kB)
+Collecting optimum~=1.6.4 (from -r /empty/requirements.txt (line 4))
+  Obtaining dependency information for optimum~=1.6.4 from https://files.pythonhosted.org/packages/31/72/a7e3b2c57d6368c5f4bb6fba54a85cbf07d25c385a2db3f1a638f3c0ddb2/optimum-1.6.4-py3-none-any.whl.metadata
+  Downloading optimum-1.6.4-py3-none-any.whl.metadata (17 kB)
+Collecting transformers~=4.26.1 (from -r /empty/requirements.txt (line 5))
+  Obtaining dependency information for transformers~=4.26.1 from https://files.pythonhosted.org/packages/1e/e2/60c3f4691b16d126ee9cfe28f598b13c424b60350ab339aba81aef054b8f/transformers-4.26.1-py3-none-any.whl.metadata
+  Downloading transformers-4.26.1-py3-none-any.whl.metadata (100 kB)
+     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100.3/100.3 kB 6.2 MB/s eta 0:00:00
+Collecting datasets~=2.10.1 (from -r /empty/requirements.txt (line 6))
+  Obtaining dependency information for datasets~=2.10.1 from https://files.pythonhosted.org/packages/fe/17/5825fdf034ff1a315becdbb9b6fe5a2bd9d8e724464535f18809593bf9c2/datasets-2.10.1-py3-none-any.whl.metadata
+  Downloading datasets-2.10.1-py3-none-any.whl.metadata (20 kB)
+Collecting scikit-learn~=1.0.2 (from -r /empty/requirements.txt (line 7))
+  Obtaining dependency information for scikit-learn~=1.0.2 from https://files.pythonhosted.org/packages/57/aa/483fbe6b5314bce2d49801e6cec1f2139a9c220d0d51494788fff47233b3/scikit_learn-1.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata
+  Downloading scikit_learn-1.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (10 kB)
+Requirement already satisfied: urllib3&lt;1.27,&gt;=1.26.9 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (1.26.18)
+Requirement already satisfied: GitPython&gt;=3.1.41,~=3.1 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (3.1.42)
+Requirement already satisfied: aiohttp~=3.9 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (3.9.3)
+Requirement already satisfied: aiohttp-retry~=2.8 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (2.8.3)
+Requirement already satisfied: click~=8.1 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (8.1.7)
+Requirement already satisfied: kfp~=1.8 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (1.8.22)
+Requirement already satisfied: nest-asyncio~=1.0 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (1.6.0)
+Requirement already satisfied: ipython~=8.10 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (8.18.1)
+Requirement already satisfied: nuclio-jupyter~=0.9.15 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (0.9.16)
+Requirement already satisfied: numpy&lt;1.27.0,&gt;=1.16.5 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (1.26.4)
+Requirement already satisfied: pandas&lt;2.2,&gt;=1.2 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (2.1.4)
+Requirement already satisfied: pyarrow&lt;15,&gt;=10.0 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (14.0.2)
+Requirement already satisfied: pyyaml~=5.1 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (5.4.1)
+Requirement already satisfied: requests~=2.31 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (2.31.0)
+Requirement already satisfied: tabulate~=0.8.6 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (0.8.10)
+Requirement already satisfied: v3io~=0.5.21 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (0.5.23)
+Requirement already satisfied: pydantic&gt;=1.10.8,~=1.10 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (1.10.14)
+Requirement already satisfied: mergedeep~=1.3 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (1.3.4)
+Requirement already satisfied: v3io-frames~=0.10.12 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (0.10.13)
+Requirement already satisfied: semver~=3.0 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (3.0.2)
+Requirement already satisfied: dependency-injector~=4.41 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (4.41.0)
+Requirement already satisfied: fsspec==2023.9.2 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (2023.9.2)
+Requirement already satisfied: v3iofs~=0.1.17 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (0.1.18)
+Requirement already satisfied: storey~=1.6.18 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (1.6.18)
+Requirement already satisfied: inflection~=0.5.0 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (0.5.1)
+Requirement already satisfied: python-dotenv~=0.17.0 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (0.17.1)
+Requirement already satisfied: setuptools~=68.2 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (68.2.2)
+Requirement already satisfied: deprecated~=1.2 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (1.2.14)
+Requirement already satisfied: jinja2&gt;=3.1.3,~=3.1 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (3.1.3)
+Requirement already satisfied: anyio~=3.7 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (3.7.1)
+Requirement already satisfied: orjson~=3.9 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (3.9.15)
+Requirement already satisfied: adlfs==2023.9.0 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (2023.9.0)
+Requirement already satisfied: aiobotocore&lt;2.8,&gt;=2.5.0 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (2.5.4)
+Requirement already satisfied: avro~=1.11 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (1.11.3)
+Requirement already satisfied: azure-core~=1.24 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (1.30.0)
+Requirement already satisfied: azure-identity~=1.5 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (1.15.0)
+Requirement already satisfied: azure-keyvault-secrets~=4.2 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (4.8.0)
+Requirement already satisfied: boto3&lt;1.29.0,&gt;=1.28.0 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (1.28.17)
+Requirement already satisfied: dask~=2023.9.0 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (2023.9.3)
+Requirement already satisfied: databricks-sdk~=0.13.0 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (0.13.0)
+Requirement already satisfied: distributed~=2023.9.0 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (2023.9.3)
+Requirement already satisfied: gcsfs==2023.9.2 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (2023.9.2)
+Requirement already satisfied: google-cloud-bigquery[bqstorage,pandas]==3.14.1 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (3.14.1)
+Requirement already satisfied: graphviz~=0.20.0 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (0.20.1)
+Requirement already satisfied: kafka-python~=2.0 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (2.0.2)
+Requirement already satisfied: mlflow~=2.8 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (2.10.2)
+Requirement already satisfied: msrest~=0.6.21 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (0.6.21)
+Requirement already satisfied: plotly&lt;5.12.0,~=5.4 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (5.11.0)
+Requirement already satisfied: pyopenssl&gt;=23 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (24.0.0)
+Requirement already satisfied: redis~=4.3 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (4.6.0)
+Requirement already satisfied: s3fs==2023.9.2 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (2023.9.2)
+Requirement already satisfied: sqlalchemy~=1.4 in /opt/conda/lib/python3.9/site-packages (from mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (1.4.51)
+Requirement already satisfied: azure-datalake-store&lt;0.1,&gt;=0.0.46 in /opt/conda/lib/python3.9/site-packages (from adlfs==2023.9.0-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (0.0.53)
+Requirement already satisfied: azure-storage-blob&gt;=12.12.0 in /opt/conda/lib/python3.9/site-packages (from adlfs==2023.9.0-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (12.19.0)
+Requirement already satisfied: decorator&gt;4.1.2 in /opt/conda/lib/python3.9/site-packages (from gcsfs==2023.9.2-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (5.1.1)
+Requirement already satisfied: google-auth&gt;=1.2 in /opt/conda/lib/python3.9/site-packages (from gcsfs==2023.9.2-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (2.28.1)
+Requirement already satisfied: google-auth-oauthlib in /opt/conda/lib/python3.9/site-packages (from gcsfs==2023.9.2-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (1.2.0)
+Requirement already satisfied: google-cloud-storage in /opt/conda/lib/python3.9/site-packages (from gcsfs==2023.9.2-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (2.14.0)
+Requirement already satisfied: google-api-core!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.0,&lt;3.0.0dev,&gt;=1.31.5 in /opt/conda/lib/python3.9/site-packages (from google-cloud-bigquery[bqstorage,pandas]==3.14.1-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (2.17.1)
+Requirement already satisfied: google-cloud-core&lt;3.0.0dev,&gt;=1.6.0 in /opt/conda/lib/python3.9/site-packages (from google-cloud-bigquery[bqstorage,pandas]==3.14.1-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (2.4.1)
+Requirement already satisfied: google-resumable-media&lt;3.0dev,&gt;=0.6.0 in /opt/conda/lib/python3.9/site-packages (from google-cloud-bigquery[bqstorage,pandas]==3.14.1-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (2.7.0)
+Requirement already satisfied: packaging&gt;=20.0.0 in /opt/conda/lib/python3.9/site-packages (from google-cloud-bigquery[bqstorage,pandas]==3.14.1-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (23.1)
+Requirement already satisfied: python-dateutil&lt;3.0dev,&gt;=2.7.2 in /opt/conda/lib/python3.9/site-packages (from google-cloud-bigquery[bqstorage,pandas]==3.14.1-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (2.8.2)
+Requirement already satisfied: db-dtypes&lt;2.0.0dev,&gt;=0.3.0 in /opt/conda/lib/python3.9/site-packages (from google-cloud-bigquery[bqstorage,pandas]==3.14.1-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (1.2.0)
+Requirement already satisfied: google-cloud-bigquery-storage&lt;3.0.0dev,&gt;=2.6.0 in /opt/conda/lib/python3.9/site-packages (from google-cloud-bigquery[bqstorage,pandas]==3.14.1-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (2.24.0)
+Requirement already satisfied: grpcio&lt;2.0dev,&gt;=1.47.0 in /opt/conda/lib/python3.9/site-packages (from google-cloud-bigquery[bqstorage,pandas]==3.14.1-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (1.62.0)
+Requirement already satisfied: protobuf&gt;=3.20.2 in /opt/conda/lib/python3.9/site-packages (from onnx~=1.14.1-&gt;-r /empty/requirements.txt (line 2)) (3.20.3)
+Requirement already satisfied: typing-extensions&gt;=3.6.2.1 in /opt/conda/lib/python3.9/site-packages (from onnx~=1.14.1-&gt;-r /empty/requirements.txt (line 2)) (4.10.0)
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+     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 134.8/134.8 kB 40.1 MB/s eta 0:00:00
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+     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 40.9/40.9 kB 217.5 MB/s eta 0:00:00
+Collecting tokenizers!=0.11.3,&lt;0.14,&gt;=0.11.1 (from transformers~=4.26.1-&gt;-r /empty/requirements.txt (line 5))
+  Obtaining dependency information for tokenizers!=0.11.3,&lt;0.14,&gt;=0.11.1 from https://files.pythonhosted.org/packages/d6/27/07a337087dd507170a1b20fed3bbf8da81401185a7130a6e74e440c52040/tokenizers-0.13.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata
+  Downloading tokenizers-0.13.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (6.7 kB)
+Requirement already satisfied: tqdm&gt;=4.27 in /opt/conda/lib/python3.9/site-packages (from transformers~=4.26.1-&gt;-r /empty/requirements.txt (line 5)) (4.65.0)
+Collecting dill&lt;0.3.7,&gt;=0.3.0 (from datasets~=2.10.1-&gt;-r /empty/requirements.txt (line 6))
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+  Downloading dill-0.3.6-py3-none-any.whl.metadata (9.8 kB)
+Requirement already satisfied: xxhash in /opt/conda/lib/python3.9/site-packages (from datasets~=2.10.1-&gt;-r /empty/requirements.txt (line 6)) (3.4.1)
+Collecting multiprocess (from datasets~=2.10.1-&gt;-r /empty/requirements.txt (line 6))
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+  Downloading multiprocess-0.70.16-py39-none-any.whl.metadata (7.2 kB)
+Collecting responses&lt;0.19 (from datasets~=2.10.1-&gt;-r /empty/requirements.txt (line 6))
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+  Downloading responses-0.18.0-py3-none-any.whl.metadata (29 kB)
+Requirement already satisfied: scipy&gt;=1.1.0 in /opt/conda/lib/python3.9/site-packages (from scikit-learn~=1.0.2-&gt;-r /empty/requirements.txt (line 7)) (1.12.0)
+Requirement already satisfied: joblib&gt;=0.11 in /opt/conda/lib/python3.9/site-packages (from scikit-learn~=1.0.2-&gt;-r /empty/requirements.txt (line 7)) (1.3.2)
+Requirement already satisfied: threadpoolctl&gt;=2.0.0 in /opt/conda/lib/python3.9/site-packages (from scikit-learn~=1.0.2-&gt;-r /empty/requirements.txt (line 7)) (3.3.0)
+Requirement already satisfied: botocore&lt;1.31.18,&gt;=1.31.17 in /opt/conda/lib/python3.9/site-packages (from aiobotocore&lt;2.8,&gt;=2.5.0-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (1.31.17)
+Requirement already satisfied: wrapt&lt;2.0.0,&gt;=1.10.10 in /opt/conda/lib/python3.9/site-packages (from aiobotocore&lt;2.8,&gt;=2.5.0-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (1.16.0)
+Requirement already satisfied: aioitertools&lt;1.0.0,&gt;=0.5.1 in /opt/conda/lib/python3.9/site-packages (from aiobotocore&lt;2.8,&gt;=2.5.0-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (0.11.0)
+Requirement already satisfied: aiosignal&gt;=1.1.2 in /opt/conda/lib/python3.9/site-packages (from aiohttp~=3.9-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (1.3.1)
+Requirement already satisfied: attrs&gt;=17.3.0 in /opt/conda/lib/python3.9/site-packages (from aiohttp~=3.9-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (23.2.0)
+Requirement already satisfied: frozenlist&gt;=1.1.1 in /opt/conda/lib/python3.9/site-packages (from aiohttp~=3.9-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (1.4.1)
+Requirement already satisfied: multidict&lt;7.0,&gt;=4.5 in /opt/conda/lib/python3.9/site-packages (from aiohttp~=3.9-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (6.0.5)
+Requirement already satisfied: yarl&lt;2.0,&gt;=1.0 in /opt/conda/lib/python3.9/site-packages (from aiohttp~=3.9-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (1.9.4)
+Requirement already satisfied: async-timeout&lt;5.0,&gt;=4.0 in /opt/conda/lib/python3.9/site-packages (from aiohttp~=3.9-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (4.0.3)
+Requirement already satisfied: idna&gt;=2.8 in /opt/conda/lib/python3.9/site-packages (from anyio~=3.7-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (3.4)
+Requirement already satisfied: sniffio&gt;=1.1 in /opt/conda/lib/python3.9/site-packages (from anyio~=3.7-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (1.3.1)
+Requirement already satisfied: exceptiongroup in /opt/conda/lib/python3.9/site-packages (from anyio~=3.7-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (1.2.0)
+Requirement already satisfied: six&gt;=1.11.0 in /opt/conda/lib/python3.9/site-packages (from azure-core~=1.24-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (1.16.0)
+Requirement already satisfied: cryptography&gt;=2.5 in /opt/conda/lib/python3.9/site-packages (from azure-identity~=1.5-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (42.0.2)
+Requirement already satisfied: msal&lt;2.0.0,&gt;=1.24.0 in /opt/conda/lib/python3.9/site-packages (from azure-identity~=1.5-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (1.27.0)
+Requirement already satisfied: msal-extensions&lt;2.0.0,&gt;=0.3.0 in /opt/conda/lib/python3.9/site-packages (from azure-identity~=1.5-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (1.1.0)
+Requirement already satisfied: isodate&gt;=0.6.1 in /opt/conda/lib/python3.9/site-packages (from azure-keyvault-secrets~=4.2-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (0.6.1)
+Requirement already satisfied: jmespath&lt;2.0.0,&gt;=0.7.1 in /opt/conda/lib/python3.9/site-packages (from boto3&lt;1.29.0,&gt;=1.28.0-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (1.0.1)
+Requirement already satisfied: s3transfer&lt;0.7.0,&gt;=0.6.0 in /opt/conda/lib/python3.9/site-packages (from boto3&lt;1.29.0,&gt;=1.28.0-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (0.6.2)
+Requirement already satisfied: cloudpickle&gt;=1.5.0 in /opt/conda/lib/python3.9/site-packages (from dask~=2023.9.0-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (2.2.1)
+Requirement already satisfied: partd&gt;=1.2.0 in /opt/conda/lib/python3.9/site-packages (from dask~=2023.9.0-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (1.4.1)
+Requirement already satisfied: toolz&gt;=0.10.0 in /opt/conda/lib/python3.9/site-packages (from dask~=2023.9.0-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (0.12.0)
+Requirement already satisfied: importlib-metadata&gt;=4.13.0 in /opt/conda/lib/python3.9/site-packages (from dask~=2023.9.0-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (7.0.1)
+Requirement already satisfied: locket&gt;=1.0.0 in /opt/conda/lib/python3.9/site-packages (from distributed~=2023.9.0-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (1.0.0)
+Requirement already satisfied: msgpack&gt;=1.0.0 in /opt/conda/lib/python3.9/site-packages (from distributed~=2023.9.0-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (1.0.7)
+Requirement already satisfied: psutil&gt;=5.7.2 in /opt/conda/lib/python3.9/site-packages (from distributed~=2023.9.0-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (5.9.8)
+Requirement already satisfied: sortedcontainers&gt;=2.0.5 in /opt/conda/lib/python3.9/site-packages (from distributed~=2023.9.0-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (2.4.0)
+Requirement already satisfied: tblib&gt;=1.6.0 in /opt/conda/lib/python3.9/site-packages (from distributed~=2023.9.0-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (3.0.0)
+Requirement already satisfied: tornado&gt;=6.0.4 in /opt/conda/lib/python3.9/site-packages (from distributed~=2023.9.0-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (6.4)
+Requirement already satisfied: zict&gt;=3.0.0 in /opt/conda/lib/python3.9/site-packages (from distributed~=2023.9.0-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (3.0.0)
+Requirement already satisfied: gitdb&lt;5,&gt;=4.0.1 in /opt/conda/lib/python3.9/site-packages (from GitPython&gt;=3.1.41,~=3.1-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (4.0.11)
+Requirement already satisfied: jedi&gt;=0.16 in /opt/conda/lib/python3.9/site-packages (from ipython~=8.10-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (0.19.1)
+Requirement already satisfied: matplotlib-inline in /opt/conda/lib/python3.9/site-packages (from ipython~=8.10-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (0.1.6)
+Requirement already satisfied: prompt-toolkit&lt;3.1.0,&gt;=3.0.41 in /opt/conda/lib/python3.9/site-packages (from ipython~=8.10-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (3.0.43)
+Requirement already satisfied: pygments&gt;=2.4.0 in /opt/conda/lib/python3.9/site-packages (from ipython~=8.10-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (2.17.2)
+Requirement already satisfied: stack-data in /opt/conda/lib/python3.9/site-packages (from ipython~=8.10-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (0.6.3)
+Requirement already satisfied: traitlets&gt;=5 in /opt/conda/lib/python3.9/site-packages (from ipython~=8.10-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (5.14.1)
+Requirement already satisfied: pexpect&gt;4.3 in /opt/conda/lib/python3.9/site-packages (from ipython~=8.10-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (4.9.0)
+Requirement already satisfied: MarkupSafe&gt;=2.0 in /opt/conda/lib/python3.9/site-packages (from jinja2&gt;=3.1.3,~=3.1-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (2.1.5)
+Requirement already satisfied: absl-py&lt;2,&gt;=0.9 in /opt/conda/lib/python3.9/site-packages (from kfp~=1.8-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (1.4.0)
+Requirement already satisfied: kubernetes&lt;26,&gt;=8.0.0 in /opt/conda/lib/python3.9/site-packages (from kfp~=1.8-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (25.3.0)
+Requirement already satisfied: google-api-python-client&lt;2,&gt;=1.7.8 in /opt/conda/lib/python3.9/site-packages (from kfp~=1.8-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (1.12.11)
+Requirement already satisfied: requests-toolbelt&lt;1,&gt;=0.8.0 in /opt/conda/lib/python3.9/site-packages (from kfp~=1.8-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (0.10.1)
+Requirement already satisfied: kfp-server-api&lt;2.0.0,&gt;=1.1.2 in /opt/conda/lib/python3.9/site-packages (from kfp~=1.8-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (1.8.5)
+Requirement already satisfied: jsonschema&lt;5,&gt;=3.0.1 in /opt/conda/lib/python3.9/site-packages (from kfp~=1.8-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (4.21.1)
+Requirement already satisfied: strip-hints&lt;1,&gt;=0.1.8 in /opt/conda/lib/python3.9/site-packages (from kfp~=1.8-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (0.1.10)
+Requirement already satisfied: docstring-parser&lt;1,&gt;=0.7.3 in /opt/conda/lib/python3.9/site-packages (from kfp~=1.8-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (0.15)
+Requirement already satisfied: kfp-pipeline-spec&lt;0.2.0,&gt;=0.1.16 in /opt/conda/lib/python3.9/site-packages (from kfp~=1.8-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (0.1.16)
+Requirement already satisfied: fire&lt;1,&gt;=0.3.1 in /opt/conda/lib/python3.9/site-packages (from kfp~=1.8-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (0.5.0)
+Requirement already satisfied: uritemplate&lt;4,&gt;=3.0.1 in /opt/conda/lib/python3.9/site-packages (from kfp~=1.8-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (3.0.1)
+Requirement already satisfied: typer&lt;1.0,&gt;=0.3.2 in /opt/conda/lib/python3.9/site-packages (from kfp~=1.8-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (0.9.0)
+Requirement already satisfied: entrypoints&lt;1 in /opt/conda/lib/python3.9/site-packages (from mlflow~=2.8-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (0.4)
+Requirement already satisfied: pytz&lt;2024 in /opt/conda/lib/python3.9/site-packages (from mlflow~=2.8-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (2023.4)
+Requirement already satisfied: sqlparse&lt;1,&gt;=0.4.0 in /opt/conda/lib/python3.9/site-packages (from mlflow~=2.8-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (0.4.4)
+Requirement already satisfied: alembic!=1.10.0,&lt;2 in /opt/conda/lib/python3.9/site-packages (from mlflow~=2.8-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (1.13.1)
+Requirement already satisfied: docker&lt;8,&gt;=4.0.0 in /opt/conda/lib/python3.9/site-packages (from mlflow~=2.8-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (7.0.0)
+Requirement already satisfied: Flask&lt;4 in /opt/conda/lib/python3.9/site-packages (from mlflow~=2.8-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (3.0.2)
+Requirement already satisfied: querystring-parser&lt;2 in /opt/conda/lib/python3.9/site-packages (from mlflow~=2.8-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (1.2.4)
+Requirement already satisfied: markdown&lt;4,&gt;=3.3 in /opt/conda/lib/python3.9/site-packages (from mlflow~=2.8-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (3.5.2)
+Requirement already satisfied: matplotlib&lt;4 in /opt/conda/lib/python3.9/site-packages (from mlflow~=2.8-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (3.8.3)
+Requirement already satisfied: gunicorn&lt;22 in /opt/conda/lib/python3.9/site-packages (from mlflow~=2.8-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (21.2.0)
+Requirement already satisfied: requests-oauthlib&gt;=0.5.0 in /opt/conda/lib/python3.9/site-packages (from msrest~=0.6.21-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (1.3.1)
+Requirement already satisfied: certifi&gt;=2017.4.17 in /opt/conda/lib/python3.9/site-packages (from msrest~=0.6.21-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (2024.2.2)
+Requirement already satisfied: nbconvert&gt;=6.4.5 in /opt/conda/lib/python3.9/site-packages (from nuclio-jupyter~=0.9.15-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (7.16.1)
+Requirement already satisfied: notebook&lt;7.0.0,&gt;=6.4 in /opt/conda/lib/python3.9/site-packages (from nuclio-jupyter~=0.9.15-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (6.5.6)
+Requirement already satisfied: tzdata&gt;=2022.1 in /opt/conda/lib/python3.9/site-packages (from pandas&lt;2.2,&gt;=1.2-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (2024.1)
+Requirement already satisfied: tenacity&gt;=6.2.0 in /opt/conda/lib/python3.9/site-packages (from plotly&lt;5.12.0,~=5.4-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (8.2.3)
+Requirement already satisfied: charset-normalizer&lt;4,&gt;=2 in /opt/conda/lib/python3.9/site-packages (from requests~=2.31-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (2.0.4)
+Requirement already satisfied: greenlet!=0.4.17 in /opt/conda/lib/python3.9/site-packages (from sqlalchemy~=1.4-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (3.0.3)
+Requirement already satisfied: nuclio-sdk&gt;=0.5.3 in /opt/conda/lib/python3.9/site-packages (from storey~=1.6.18-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (0.5.9)
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+  Downloading networkx-3.2.1-py3-none-any.whl.metadata (5.2 kB)
+Collecting nvidia-cuda-nvrtc-cu12==12.1.105 (from torch&gt;=1.9-&gt;optimum~=1.6.4-&gt;-r /empty/requirements.txt (line 4))
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+  Downloading nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-manylinux1_x86_64.whl.metadata (1.5 kB)
+Collecting nvidia-cuda-runtime-cu12==12.1.105 (from torch&gt;=1.9-&gt;optimum~=1.6.4-&gt;-r /empty/requirements.txt (line 4))
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+  Downloading nvidia_cuda_runtime_cu12-12.1.105-py3-none-manylinux1_x86_64.whl.metadata (1.5 kB)
+Collecting nvidia-cuda-cupti-cu12==12.1.105 (from torch&gt;=1.9-&gt;optimum~=1.6.4-&gt;-r /empty/requirements.txt (line 4))
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+  Downloading nvidia_cuda_cupti_cu12-12.1.105-py3-none-manylinux1_x86_64.whl.metadata (1.6 kB)
+Collecting nvidia-cudnn-cu12==8.9.2.26 (from torch&gt;=1.9-&gt;optimum~=1.6.4-&gt;-r /empty/requirements.txt (line 4))
+  Obtaining dependency information for nvidia-cudnn-cu12==8.9.2.26 from https://files.pythonhosted.org/packages/ff/74/a2e2be7fb83aaedec84f391f082cf765dfb635e7caa9b49065f73e4835d8/nvidia_cudnn_cu12-8.9.2.26-py3-none-manylinux1_x86_64.whl.metadata
+  Downloading nvidia_cudnn_cu12-8.9.2.26-py3-none-manylinux1_x86_64.whl.metadata (1.6 kB)
+Collecting nvidia-cublas-cu12==12.1.3.1 (from torch&gt;=1.9-&gt;optimum~=1.6.4-&gt;-r /empty/requirements.txt (line 4))
+  Obtaining dependency information for nvidia-cublas-cu12==12.1.3.1 from https://files.pythonhosted.org/packages/37/6d/121efd7382d5b0284239f4ab1fc1590d86d34ed4a4a2fdb13b30ca8e5740/nvidia_cublas_cu12-12.1.3.1-py3-none-manylinux1_x86_64.whl.metadata
+  Downloading nvidia_cublas_cu12-12.1.3.1-py3-none-manylinux1_x86_64.whl.metadata (1.5 kB)
+Collecting nvidia-cufft-cu12==11.0.2.54 (from torch&gt;=1.9-&gt;optimum~=1.6.4-&gt;-r /empty/requirements.txt (line 4))
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+  Downloading nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl.metadata (1.5 kB)
+Collecting nvidia-curand-cu12==10.3.2.106 (from torch&gt;=1.9-&gt;optimum~=1.6.4-&gt;-r /empty/requirements.txt (line 4))
+  Obtaining dependency information for nvidia-curand-cu12==10.3.2.106 from https://files.pythonhosted.org/packages/44/31/4890b1c9abc496303412947fc7dcea3d14861720642b49e8ceed89636705/nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl.metadata
+  Downloading nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl.metadata (1.5 kB)
+Collecting nvidia-cusolver-cu12==11.4.5.107 (from torch&gt;=1.9-&gt;optimum~=1.6.4-&gt;-r /empty/requirements.txt (line 4))
+  Obtaining dependency information for nvidia-cusolver-cu12==11.4.5.107 from https://files.pythonhosted.org/packages/bc/1d/8de1e5c67099015c834315e333911273a8c6aaba78923dd1d1e25fc5f217/nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl.metadata
+  Downloading nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl.metadata (1.6 kB)
+Collecting nvidia-cusparse-cu12==12.1.0.106 (from torch&gt;=1.9-&gt;optimum~=1.6.4-&gt;-r /empty/requirements.txt (line 4))
+  Obtaining dependency information for nvidia-cusparse-cu12==12.1.0.106 from https://files.pythonhosted.org/packages/65/5b/cfaeebf25cd9fdec14338ccb16f6b2c4c7fa9163aefcf057d86b9cc248bb/nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl.metadata
+  Downloading nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl.metadata (1.6 kB)
+Collecting nvidia-nccl-cu12==2.19.3 (from torch&gt;=1.9-&gt;optimum~=1.6.4-&gt;-r /empty/requirements.txt (line 4))
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+  Downloading nvidia_nccl_cu12-2.19.3-py3-none-manylinux1_x86_64.whl.metadata (1.8 kB)
+Collecting nvidia-nvtx-cu12==12.1.105 (from torch&gt;=1.9-&gt;optimum~=1.6.4-&gt;-r /empty/requirements.txt (line 4))
+  Obtaining dependency information for nvidia-nvtx-cu12==12.1.105 from https://files.pythonhosted.org/packages/da/d3/8057f0587683ed2fcd4dbfbdfdfa807b9160b809976099d36b8f60d08f03/nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl.metadata
+  Downloading nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl.metadata (1.7 kB)
+Collecting triton==2.2.0 (from torch&gt;=1.9-&gt;optimum~=1.6.4-&gt;-r /empty/requirements.txt (line 4))
+  Obtaining dependency information for triton==2.2.0 from https://files.pythonhosted.org/packages/6a/5c/01d9f062f719581cf6e60053e1a005d666ec67dcb59630fffaa3a3e5c9d8/triton-2.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata
+  Downloading triton-2.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.4 kB)
+Collecting nvidia-nvjitlink-cu12 (from nvidia-cusolver-cu12==11.4.5.107-&gt;torch&gt;=1.9-&gt;optimum~=1.6.4-&gt;-r /empty/requirements.txt (line 4))
+  Obtaining dependency information for nvidia-nvjitlink-cu12 from https://files.pythonhosted.org/packages/58/d1/d1c80553f9d5d07b6072bc132607d75a0ef3600e28e1890e11c0f55d7346/nvidia_nvjitlink_cu12-12.4.99-py3-none-manylinux2014_x86_64.whl.metadata
+  Downloading nvidia_nvjitlink_cu12-12.4.99-py3-none-manylinux2014_x86_64.whl.metadata (1.5 kB)
+INFO: pip is looking at multiple versions of transformers[sentencepiece] to determine which version is compatible with other requirements. This could take a while.
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+  Obtaining dependency information for transformers[sentencepiece]&gt;=4.26.0 from https://files.pythonhosted.org/packages/a4/73/f620d76193954e16db3d5c53a07d956d7b9c800e570758d3bff91906d4a4/transformers-4.39.0-py3-none-any.whl.metadata
+  Downloading transformers-4.39.0-py3-none-any.whl.metadata (134 kB)
+     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 134.8/134.8 kB 115.9 MB/s eta 0:00:00
+  Obtaining dependency information for transformers[sentencepiece]&gt;=4.26.0 from https://files.pythonhosted.org/packages/b6/4d/fbe6d89fde59d8107f0a02816c4ac4542a8f9a85559fdf33c68282affcc1/transformers-4.38.2-py3-none-any.whl.metadata
+  Downloading transformers-4.38.2-py3-none-any.whl.metadata (130 kB)
+     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 130.7/130.7 kB 126.3 MB/s eta 0:00:00
+  Obtaining dependency information for transformers[sentencepiece]&gt;=4.26.0 from https://files.pythonhosted.org/packages/3e/6b/1b589f7b69aaea8193cf5bc91cf97410284aecd97b6312cdb08baedbdffe/transformers-4.38.1-py3-none-any.whl.metadata
+  Downloading transformers-4.38.1-py3-none-any.whl.metadata (131 kB)
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+INFO: pip is still looking at multiple versions of transformers[sentencepiece] to determine which version is compatible with other requirements. This could take a while.
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+INFO: This is taking longer than usual. You might need to provide the dependency resolver with stricter constraints to reduce runtime. See https://pip.pypa.io/warnings/backtracking for guidance. If you want to abort this run, press Ctrl + C.
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+Requirement already satisfied: future&gt;=0.18.2 in /opt/conda/lib/python3.9/site-packages (from v3io~=0.5.21-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (1.0.0)
+Requirement already satisfied: ujson&gt;=3 in /opt/conda/lib/python3.9/site-packages (from v3io~=0.5.21-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (5.9.0)
+Requirement already satisfied: googleapis-common-protos&gt;=1.5.3 in /opt/conda/lib/python3.9/site-packages (from v3io-frames~=0.10.12-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (1.62.0)
+Requirement already satisfied: grpcio-tools!=1.34.0,&lt;1.49,&gt;=1.30 in /opt/conda/lib/python3.9/site-packages (from v3io-frames~=0.10.12-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (1.48.2)
+Collecting humanfriendly&gt;=9.1 (from coloredlogs-&gt;onnxruntime~=1.16.1-&gt;-r /empty/requirements.txt (line 3))
+  Obtaining dependency information for humanfriendly&gt;=9.1 from https://files.pythonhosted.org/packages/f0/0f/310fb31e39e2d734ccaa2c0fb981ee41f7bd5056ce9bc29b2248bd569169/humanfriendly-10.0-py2.py3-none-any.whl.metadata
+  Downloading humanfriendly-10.0-py2.py3-none-any.whl.metadata (9.2 kB)
+INFO: pip is looking at multiple versions of multiprocess to determine which version is compatible with other requirements. This could take a while.
+Collecting multiprocess (from datasets~=2.10.1-&gt;-r /empty/requirements.txt (line 6))
+  Obtaining dependency information for multiprocess from https://files.pythonhosted.org/packages/c6/c9/820b5ab056f4ada76fbe05bd481a948f287957d6cbfd59e2dd2618b408c1/multiprocess-0.70.15-py39-none-any.whl.metadata
+  Downloading multiprocess-0.70.15-py39-none-any.whl.metadata (7.2 kB)
+  Obtaining dependency information for multiprocess from https://files.pythonhosted.org/packages/6a/f4/fbeb03ef7abdda54db4a6a75c971b88ab73d724ff09e3275cc1e99f1c946/multiprocess-0.70.14-py39-none-any.whl.metadata
+  Downloading multiprocess-0.70.14-py39-none-any.whl.metadata (6.6 kB)
+Collecting mpmath&gt;=0.19 (from sympy-&gt;onnxruntime~=1.16.1-&gt;-r /empty/requirements.txt (line 3))
+  Obtaining dependency information for mpmath&gt;=0.19 from https://files.pythonhosted.org/packages/43/e3/7d92a15f894aa0c9c4b49b8ee9ac9850d6e63b03c9c32c0367a13ae62209/mpmath-1.3.0-py3-none-any.whl.metadata
+  Downloading mpmath-1.3.0-py3-none-any.whl.metadata (8.6 kB)
+Requirement already satisfied: Mako in /opt/conda/lib/python3.9/site-packages (from alembic!=1.10.0,&lt;2-&gt;mlflow~=2.8-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (1.3.2)
+Requirement already satisfied: cffi in /opt/conda/lib/python3.9/site-packages (from azure-datalake-store&lt;0.1,&gt;=0.0.46-&gt;adlfs==2023.9.0-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (1.16.0)
+Requirement already satisfied: termcolor in /opt/conda/lib/python3.9/site-packages (from fire&lt;1,&gt;=0.3.1-&gt;kfp~=1.8-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (2.4.0)
+Requirement already satisfied: Werkzeug&gt;=3.0.0 in /opt/conda/lib/python3.9/site-packages (from Flask&lt;4-&gt;mlflow~=2.8-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (3.0.1)
+Requirement already satisfied: itsdangerous&gt;=2.1.2 in /opt/conda/lib/python3.9/site-packages (from Flask&lt;4-&gt;mlflow~=2.8-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (2.1.2)
+Requirement already satisfied: blinker&gt;=1.6.2 in /opt/conda/lib/python3.9/site-packages (from Flask&lt;4-&gt;mlflow~=2.8-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (1.7.0)
+Requirement already satisfied: smmap&lt;6,&gt;=3.0.1 in /opt/conda/lib/python3.9/site-packages (from gitdb&lt;5,&gt;=4.0.1-&gt;GitPython&gt;=3.1.41,~=3.1-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (5.0.1)
+Requirement already satisfied: httplib2&lt;1dev,&gt;=0.15.0 in /opt/conda/lib/python3.9/site-packages (from google-api-python-client&lt;2,&gt;=1.7.8-&gt;kfp~=1.8-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (0.22.0)
+Requirement already satisfied: google-auth-httplib2&gt;=0.0.3 in /opt/conda/lib/python3.9/site-packages (from google-api-python-client&lt;2,&gt;=1.7.8-&gt;kfp~=1.8-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (0.2.0)
+Requirement already satisfied: cachetools&lt;6.0,&gt;=2.0.0 in /opt/conda/lib/python3.9/site-packages (from google-auth&gt;=1.2-&gt;gcsfs==2023.9.2-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (5.3.3)
+Requirement already satisfied: pyasn1-modules&gt;=0.2.1 in /opt/conda/lib/python3.9/site-packages (from google-auth&gt;=1.2-&gt;gcsfs==2023.9.2-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (0.3.0)
+Requirement already satisfied: rsa&lt;5,&gt;=3.1.4 in /opt/conda/lib/python3.9/site-packages (from google-auth&gt;=1.2-&gt;gcsfs==2023.9.2-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (4.9)
+Requirement already satisfied: proto-plus&lt;2.0.0dev,&gt;=1.22.0 in /opt/conda/lib/python3.9/site-packages (from google-cloud-bigquery-storage&lt;3.0.0dev,&gt;=2.6.0-&gt;google-cloud-bigquery[bqstorage,pandas]==3.14.1-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (1.23.0)
+Requirement already satisfied: google-crc32c&lt;2.0dev,&gt;=1.0 in /opt/conda/lib/python3.9/site-packages (from google-cloud-storage-&gt;gcsfs==2023.9.2-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (1.5.0)
+Requirement already satisfied: zipp&gt;=0.5 in /opt/conda/lib/python3.9/site-packages (from importlib-metadata&gt;=4.13.0-&gt;dask~=2023.9.0-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (3.17.0)
+Requirement already satisfied: parso&lt;0.9.0,&gt;=0.8.3 in /opt/conda/lib/python3.9/site-packages (from jedi&gt;=0.16-&gt;ipython~=8.10-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (0.8.3)
+Requirement already satisfied: jsonschema-specifications&gt;=2023.03.6 in /opt/conda/lib/python3.9/site-packages (from jsonschema&lt;5,&gt;=3.0.1-&gt;kfp~=1.8-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (2023.12.1)
+Requirement already satisfied: referencing&gt;=0.28.4 in /opt/conda/lib/python3.9/site-packages (from jsonschema&lt;5,&gt;=3.0.1-&gt;kfp~=1.8-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (0.33.0)
+Requirement already satisfied: rpds-py&gt;=0.7.1 in /opt/conda/lib/python3.9/site-packages (from jsonschema&lt;5,&gt;=3.0.1-&gt;kfp~=1.8-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (0.18.0)
+Requirement already satisfied: websocket-client!=0.40.0,!=0.41.*,!=0.42.*,&gt;=0.32.0 in /opt/conda/lib/python3.9/site-packages (from kubernetes&lt;26,&gt;=8.0.0-&gt;kfp~=1.8-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (1.7.0)
+Requirement already satisfied: contourpy&gt;=1.0.1 in /opt/conda/lib/python3.9/site-packages (from matplotlib&lt;4-&gt;mlflow~=2.8-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (1.2.0)
+Requirement already satisfied: cycler&gt;=0.10 in /opt/conda/lib/python3.9/site-packages (from matplotlib&lt;4-&gt;mlflow~=2.8-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (0.12.1)
+Requirement already satisfied: fonttools&gt;=4.22.0 in /opt/conda/lib/python3.9/site-packages (from matplotlib&lt;4-&gt;mlflow~=2.8-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (4.49.0)
+Requirement already satisfied: kiwisolver&gt;=1.3.1 in /opt/conda/lib/python3.9/site-packages (from matplotlib&lt;4-&gt;mlflow~=2.8-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (1.4.5)
+Requirement already satisfied: pillow&gt;=8 in /opt/conda/lib/python3.9/site-packages (from matplotlib&lt;4-&gt;mlflow~=2.8-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (10.2.0)
+Requirement already satisfied: pyparsing&gt;=2.3.1 in /opt/conda/lib/python3.9/site-packages (from matplotlib&lt;4-&gt;mlflow~=2.8-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (3.1.1)
+Requirement already satisfied: importlib-resources&gt;=3.2.0 in /opt/conda/lib/python3.9/site-packages (from matplotlib&lt;4-&gt;mlflow~=2.8-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (6.1.2)
+Requirement already satisfied: PyJWT[crypto]&lt;3,&gt;=1.0.0 in /opt/conda/lib/python3.9/site-packages (from msal&lt;2.0.0,&gt;=1.24.0-&gt;azure-identity~=1.5-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (2.8.0)
+Requirement already satisfied: portalocker&lt;3,&gt;=1.0 in /opt/conda/lib/python3.9/site-packages (from msal-extensions&lt;2.0.0,&gt;=0.3.0-&gt;azure-identity~=1.5-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (2.8.2)
+Requirement already satisfied: beautifulsoup4 in /opt/conda/lib/python3.9/site-packages (from nbconvert&gt;=6.4.5-&gt;nuclio-jupyter~=0.9.15-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (4.12.3)
+Requirement already satisfied: bleach!=5.0.0 in /opt/conda/lib/python3.9/site-packages (from nbconvert&gt;=6.4.5-&gt;nuclio-jupyter~=0.9.15-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (6.1.0)
+Requirement already satisfied: defusedxml in /opt/conda/lib/python3.9/site-packages (from nbconvert&gt;=6.4.5-&gt;nuclio-jupyter~=0.9.15-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (0.7.1)
+Requirement already satisfied: jupyter-core&gt;=4.7 in /opt/conda/lib/python3.9/site-packages (from nbconvert&gt;=6.4.5-&gt;nuclio-jupyter~=0.9.15-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (5.7.1)
+Requirement already satisfied: jupyterlab-pygments in /opt/conda/lib/python3.9/site-packages (from nbconvert&gt;=6.4.5-&gt;nuclio-jupyter~=0.9.15-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (0.3.0)
+Requirement already satisfied: mistune&lt;4,&gt;=2.0.3 in /opt/conda/lib/python3.9/site-packages (from nbconvert&gt;=6.4.5-&gt;nuclio-jupyter~=0.9.15-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (3.0.2)
+Requirement already satisfied: nbclient&gt;=0.5.0 in /opt/conda/lib/python3.9/site-packages (from nbconvert&gt;=6.4.5-&gt;nuclio-jupyter~=0.9.15-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (0.9.0)
+Requirement already satisfied: nbformat&gt;=5.7 in /opt/conda/lib/python3.9/site-packages (from nbconvert&gt;=6.4.5-&gt;nuclio-jupyter~=0.9.15-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (5.9.2)
+Requirement already satisfied: pandocfilters&gt;=1.4.1 in /opt/conda/lib/python3.9/site-packages (from nbconvert&gt;=6.4.5-&gt;nuclio-jupyter~=0.9.15-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (1.5.1)
+Requirement already satisfied: tinycss2 in /opt/conda/lib/python3.9/site-packages (from nbconvert&gt;=6.4.5-&gt;nuclio-jupyter~=0.9.15-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (1.2.1)
+Requirement already satisfied: pyzmq&lt;25,&gt;=17 in /opt/conda/lib/python3.9/site-packages (from notebook&lt;7.0.0,&gt;=6.4-&gt;nuclio-jupyter~=0.9.15-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (24.0.1)
+Requirement already satisfied: argon2-cffi in /opt/conda/lib/python3.9/site-packages (from notebook&lt;7.0.0,&gt;=6.4-&gt;nuclio-jupyter~=0.9.15-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (23.1.0)
+Requirement already satisfied: jupyter-client&lt;8,&gt;=5.3.4 in /opt/conda/lib/python3.9/site-packages (from notebook&lt;7.0.0,&gt;=6.4-&gt;nuclio-jupyter~=0.9.15-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (7.4.9)
+Requirement already satisfied: ipython-genutils in /opt/conda/lib/python3.9/site-packages (from notebook&lt;7.0.0,&gt;=6.4-&gt;nuclio-jupyter~=0.9.15-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (0.2.0)
+Requirement already satisfied: ipykernel in /opt/conda/lib/python3.9/site-packages (from notebook&lt;7.0.0,&gt;=6.4-&gt;nuclio-jupyter~=0.9.15-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (6.29.3)
+Requirement already satisfied: Send2Trash&gt;=1.8.0 in /opt/conda/lib/python3.9/site-packages (from notebook&lt;7.0.0,&gt;=6.4-&gt;nuclio-jupyter~=0.9.15-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (1.8.2)
+Requirement already satisfied: terminado&gt;=0.8.3 in /opt/conda/lib/python3.9/site-packages (from notebook&lt;7.0.0,&gt;=6.4-&gt;nuclio-jupyter~=0.9.15-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (0.18.0)
+Requirement already satisfied: prometheus-client in /opt/conda/lib/python3.9/site-packages (from notebook&lt;7.0.0,&gt;=6.4-&gt;nuclio-jupyter~=0.9.15-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (0.20.0)
+Requirement already satisfied: nbclassic&gt;=0.4.7 in /opt/conda/lib/python3.9/site-packages (from notebook&lt;7.0.0,&gt;=6.4-&gt;nuclio-jupyter~=0.9.15-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (1.0.0)
+Requirement already satisfied: ptyprocess&gt;=0.5 in /opt/conda/lib/python3.9/site-packages (from pexpect&gt;4.3-&gt;ipython~=8.10-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (0.7.0)
+Requirement already satisfied: wcwidth in /opt/conda/lib/python3.9/site-packages (from prompt-toolkit&lt;3.1.0,&gt;=3.0.41-&gt;ipython~=8.10-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (0.2.13)
+Requirement already satisfied: oauthlib&gt;=3.0.0 in /opt/conda/lib/python3.9/site-packages (from requests-oauthlib&gt;=0.5.0-&gt;msrest~=0.6.21-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (3.2.2)
+Requirement already satisfied: wheel in /opt/conda/lib/python3.9/site-packages (from strip-hints&lt;1,&gt;=0.1.8-&gt;kfp~=1.8-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (0.41.2)
+Requirement already satisfied: executing&gt;=1.2.0 in /opt/conda/lib/python3.9/site-packages (from stack-data-&gt;ipython~=8.10-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (2.0.1)
+Requirement already satisfied: asttokens&gt;=2.1.0 in /opt/conda/lib/python3.9/site-packages (from stack-data-&gt;ipython~=8.10-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (2.4.1)
+Requirement already satisfied: pure-eval in /opt/conda/lib/python3.9/site-packages (from stack-data-&gt;ipython~=8.10-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (0.2.2)
+Requirement already satisfied: webencodings in /opt/conda/lib/python3.9/site-packages (from bleach!=5.0.0-&gt;nbconvert&gt;=6.4.5-&gt;nuclio-jupyter~=0.9.15-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (0.5.1)
+Requirement already satisfied: pycparser in /opt/conda/lib/python3.9/site-packages (from cffi-&gt;azure-datalake-store&lt;0.1,&gt;=0.0.46-&gt;adlfs==2023.9.0-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (2.21)
+Requirement already satisfied: grpcio-status&lt;2.0.dev0,&gt;=1.33.2 in /opt/conda/lib/python3.9/site-packages (from google-api-core!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.0,&lt;3.0.0dev,&gt;=1.31.5-&gt;google-cloud-bigquery[bqstorage,pandas]==3.14.1-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (1.48.2)
+Requirement already satisfied: platformdirs&gt;=2.5 in /opt/conda/lib/python3.9/site-packages (from jupyter-core&gt;=4.7-&gt;nbconvert&gt;=6.4.5-&gt;nuclio-jupyter~=0.9.15-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (3.10.0)
+Requirement already satisfied: jupyter-server&gt;=1.8 in /opt/conda/lib/python3.9/site-packages (from nbclassic&gt;=0.4.7-&gt;notebook&lt;7.0.0,&gt;=6.4-&gt;nuclio-jupyter~=0.9.15-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (2.12.5)
+Requirement already satisfied: notebook-shim&gt;=0.2.3 in /opt/conda/lib/python3.9/site-packages (from nbclassic&gt;=0.4.7-&gt;notebook&lt;7.0.0,&gt;=6.4-&gt;nuclio-jupyter~=0.9.15-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (0.2.4)
+Requirement already satisfied: fastjsonschema in /opt/conda/lib/python3.9/site-packages (from nbformat&gt;=5.7-&gt;nbconvert&gt;=6.4.5-&gt;nuclio-jupyter~=0.9.15-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (2.19.1)
+Requirement already satisfied: pyasn1&lt;0.6.0,&gt;=0.4.6 in /opt/conda/lib/python3.9/site-packages (from pyasn1-modules&gt;=0.2.1-&gt;google-auth&gt;=1.2-&gt;gcsfs==2023.9.2-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (0.5.1)
+Requirement already satisfied: argon2-cffi-bindings in /opt/conda/lib/python3.9/site-packages (from argon2-cffi-&gt;notebook&lt;7.0.0,&gt;=6.4-&gt;nuclio-jupyter~=0.9.15-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (21.2.0)
+Requirement already satisfied: soupsieve&gt;1.2 in /opt/conda/lib/python3.9/site-packages (from beautifulsoup4-&gt;nbconvert&gt;=6.4.5-&gt;nuclio-jupyter~=0.9.15-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (2.5)
+Requirement already satisfied: comm&gt;=0.1.1 in /opt/conda/lib/python3.9/site-packages (from ipykernel-&gt;notebook&lt;7.0.0,&gt;=6.4-&gt;nuclio-jupyter~=0.9.15-&gt;mlrun[complete]==1.6.1-&gt;-r /empty/requirements.txt (line 1)) (0.2.1)
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+Downloading onnx-1.14.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (14.6 MB)
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+Downloading nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (99 kB)
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+Downloading triton-2.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (167.9 MB)
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+Downloading protobuf-3.20.2-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl (1.0 MB)
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+Downloading coloredlogs-15.0.1-py2.py3-none-any.whl (46 kB)
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+Downloading filelock-3.13.1-py3-none-any.whl (11 kB)
+Downloading flatbuffers-24.3.7-py2.py3-none-any.whl (26 kB)
+Downloading multiprocess-0.70.14-py39-none-any.whl (132 kB)
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+Downloading sympy-1.12-py3-none-any.whl (5.7 MB)
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+Downloading humanfriendly-10.0-py2.py3-none-any.whl (86 kB)
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+Downloading mpmath-1.3.0-py3-none-any.whl (536 kB)
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+Downloading sentencepiece-0.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB)
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+Downloading networkx-3.2.1-py3-none-any.whl (1.6 MB)
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+Downloading nvidia_nvjitlink_cu12-12.4.99-py3-none-manylinux2014_x86_64.whl (21.1 MB)
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+Installing collected packages: tokenizers, sentencepiece, mpmath, flatbuffers, sympy, regex, protobuf, nvidia-nvtx-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, numpy, networkx, humanfriendly, filelock, dill, triton, responses, onnx, nvidia-cusparse-cu12, nvidia-cudnn-cu12, multiprocess, huggingface-hub, coloredlogs, transformers, scikit-learn, onnxruntime, nvidia-cusolver-cu12, torch, datasets, optimum
+  Attempting uninstall: protobuf
+    Found existing installation: protobuf 3.20.3
+    Uninstalling protobuf-3.20.3:
+      Successfully uninstalled protobuf-3.20.3
+  Attempting uninstall: numpy
+    Found existing installation: numpy 1.26.4
+    Uninstalling numpy-1.26.4:
+      Successfully uninstalled numpy-1.26.4
+  Attempting uninstall: scikit-learn
+    Found existing installation: scikit-learn 1.4.1.post1
+    Uninstalling scikit-learn-1.4.1.post1:
+      Successfully uninstalled scikit-learn-1.4.1.post1
+Successfully installed coloredlogs-15.0.1 datasets-2.10.1 dill-0.3.6 filelock-3.13.1 flatbuffers-24.3.7 huggingface-hub-0.21.4 humanfriendly-10.0 mpmath-1.3.0 multiprocess-0.70.14 networkx-3.2.1 numpy-1.23.5 nvidia-cublas-cu12-12.1.3.1 nvidia-cuda-cupti-cu12-12.1.105 nvidia-cuda-nvrtc-cu12-12.1.105 nvidia-cuda-runtime-cu12-12.1.105 nvidia-cudnn-cu12-8.9.2.26 nvidia-cufft-cu12-11.0.2.54 nvidia-curand-cu12-10.3.2.106 nvidia-cusolver-cu12-11.4.5.107 nvidia-cusparse-cu12-12.1.0.106 nvidia-nccl-cu12-2.19.3 nvidia-nvjitlink-cu12-12.4.99 nvidia-nvtx-cu12-12.1.105 onnx-1.14.1 onnxruntime-1.16.3 optimum-1.6.4 protobuf-3.20.2 regex-2023.12.25 responses-0.18.0 scikit-learn-1.0.2 sentencepiece-0.2.0 sympy-1.12 tokenizers-0.13.3 torch-2.2.1 transformers-4.26.1 triton-2.2.0
+WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
+<span class="-Color -Color-Cyan">INFO</span>[0238] Taking snapshot of full filesystem...        
+<span class="-Color -Color-Cyan">INFO</span>[0463] Pushing image to docker-registry.default-tenant.app.app-lab-2-b688.iguazio-cd2.com/mlrun/func-hugging-face-trainer-avia-hugging-face-classifier-trainer:latest 
+<span class="-Color -Color-Cyan">INFO</span>[0493] Pushed docker-registry.default-tenant.app.app-lab-2-b688.iguazio-cd2.com/mlrun/func-hugging-face-trainer-avia-hugging-face-classifier-trainer@sha256:691d0bb3c23487b4b5d2f84ab323c24735626ee81681475f53a4158b72d4cfee 
+</pre></div>
+</div>
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BuildStatus(ready=True, outputs={'image': '.mlrun/func-hugging-face-trainer-avia-hugging-face-classifier-trainer:latest'})
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">train_run</span> <span class="o">=</span> <span class="n">hugging_face_classifier_trainer</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">params</span><span class="o">=</span><span class="p">{</span>
+                                                        <span class="s2">"hf_dataset"</span><span class="p">:</span> <span class="s2">"Shayanvsf/US_Airline_Sentiment"</span><span class="p">,</span>
+                                                        <span class="s2">"drop_columns"</span><span class="p">:</span> <span class="p">[</span>
+                                                            <span class="s2">"airline_sentiment_confidence"</span><span class="p">,</span>
+                                                            <span class="s2">"negativereason_confidence"</span><span class="p">,</span>
+                                                        <span class="p">],</span>
+                                                        <span class="s2">"pretrained_tokenizer"</span><span class="p">:</span> <span class="s2">"distilbert-base-uncased"</span><span class="p">,</span>
+                                                        <span class="s2">"pretrained_model"</span><span class="p">:</span> <span class="s2">"distilbert-base-uncased"</span><span class="p">,</span>
+                                                        <span class="s2">"model_class"</span><span class="p">:</span> <span class="s2">"transformers.AutoModelForSequenceClassification"</span><span class="p">,</span>
+                                                        <span class="s2">"label_name"</span><span class="p">:</span> <span class="s2">"airline_sentiment"</span><span class="p">,</span>
+                                                        <span class="s2">"num_of_train_samples"</span><span class="p">:</span> <span class="mi">100</span><span class="p">,</span>
+                                                        <span class="s2">"metrics"</span><span class="p">:</span> <span class="p">[</span><span class="s2">"accuracy"</span><span class="p">,</span> <span class="s2">"f1"</span><span class="p">],</span>
+                                                        <span class="s2">"random_state"</span><span class="p">:</span> <span class="mi">42</span><span class="p">,</span>
+                                                        <span class="o">**</span><span class="n">additional_parameters</span>
+                                                    <span class="p">},</span>
+                                                    <span class="n">handler</span><span class="o">=</span><span class="s2">"train"</span><span class="p">,</span>                                                    
+                                                <span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&gt; 2024-03-24 17:22:42,252 [info] Storing function: {'name': 'hugging-face-classifier-trainer-train', 'uid': '53252ce7aacb4b1aacf86bf3b862daa2', 'db': 'http://mlrun-api:8080'}
+&gt; 2024-03-24 17:22:42,536 [info] Job is running in the background, pod: hugging-face-classifier-trainer-train-dqqfr
+&gt; 2024-03-24 17:24:43,288 [info] 'train_test_split_size' is not provided, setting train_test_split_size to 0.2
+&gt; 2024-03-24 17:24:43,847 [info] Loading and editing Shayanvsf/US_Airline_Sentiment dataset from Hugging Face hub
+Downloading metadata: 100%|██████████| 1.03k/1.03k [00:00&lt;00:00, 6.77MB/s]
+Downloading and preparing dataset None/None (download: 265.13 KiB, generated: 1.50 MiB, post-processed: Unknown size, total: 1.76 MiB) to /root/.cache/huggingface/datasets/Shayanvsf___parquet/Shayanvsf--US_Airline_Sentiment-1319c42f87c44b2f/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec...
+Downloading data files:   0%|          | 0/3 [00:00&lt;?, ?it/s]
+Downloading data: 100%|██████████| 92.6k/92.6k [00:00&lt;00:00, 59.3MB/s]
+Downloading data files:  33%|███▎      | 1/3 [00:00&lt;00:00,  6.42it/s]
+Downloading data: 100%|██████████| 605k/605k [00:00&lt;00:00, 81.8MB/s]
+Downloading data files:  67%|██████▋   | 2/3 [00:00&lt;00:00,  6.59it/s]
+Downloading data: 100%|██████████| 179k/179k [00:00&lt;00:00, 50.9MB/s]
+Downloading data files: 100%|██████████| 3/3 [00:00&lt;00:00,  6.62it/s]
+Extracting data files: 100%|██████████| 3/3 [00:00&lt;00:00, 1263.34it/s]
+Dataset parquet downloaded and prepared to /root/.cache/huggingface/datasets/Shayanvsf___parquet/Shayanvsf--US_Airline_Sentiment-1319c42f87c44b2f/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec. Subsequent calls will reuse this data.
+100%|██████████| 3/3 [00:00&lt;00:00, 978.99it/s]                              
+Some weights of the model checkpoint at distilbert-base-uncased were not used when initializing DistilBertForSequenceClassification: ['vocab_layer_norm.bias', 'vocab_transform.weight', 'vocab_transform.bias', 'vocab_projector.weight', 'vocab_projector.bias', 'vocab_layer_norm.weight']
+- This IS expected if you are initializing DistilBertForSequenceClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).
+- This IS NOT expected if you are initializing DistilBertForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).
+Some weights of DistilBertForSequenceClassification were not initialized from the model checkpoint at distilbert-base-uncased and are newly initialized: ['pre_classifier.bias', 'pre_classifier.weight', 'classifier.weight', 'classifier.bias']
+You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
+&gt; 2024-03-24 17:24:47,076 [info] training 'huggingface-model'
+The following columns in the training set don't have a corresponding argument in `DistilBertForSequenceClassification.forward` and have been ignored: text. If text are not expected by `DistilBertForSequenceClassification.forward`,  you can safely ignore this message.
+This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning
+***** Running training *****
+  Num examples = 100
+  Num Epochs = 3
+  Instantaneous batch size per device = 16
+  Total train batch size (w. parallel, distributed &amp; accumulation) = 16
+  Gradient Accumulation steps = 1
+  Total optimization steps = 21
+  Number of trainable parameters = 66955010
+huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
+To disable this warning, you can either:
+	- Avoid using `tokenizers` before the fork if possible
+	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
+  0%|          | 0/21 [00:00&lt;?, ?it/s]You're using a DistilBertTokenizerFast tokenizer. Please note that with a fast tokenizer, using the `__call__` method is faster than using a method to encode the text followed by a call to the `pad` method to get a padded encoding.
+ 33%|███▎      | 7/21 [00:16&lt;00:28,  2.02s/it]The following columns in the evaluation set don't have a corresponding argument in `DistilBertForSequenceClassification.forward` and have been ignored: text. If text are not expected by `DistilBertForSequenceClassification.forward`,  you can safely ignore this message.
+***** Running Evaluation *****
+  Num examples = 24
+  Batch size = 16
+
+{'loss': 0.7005, 'learning_rate': 1.904761904761905e-05, 'epoch': 0.14}
+{'loss': 0.6528, 'learning_rate': 1.8095238095238097e-05, 'epoch': 0.29}
+{'loss': 0.6468, 'learning_rate': 1.7142857142857142e-05, 'epoch': 0.43}
+{'loss': 0.5877, 'learning_rate': 1.6190476190476193e-05, 'epoch': 0.57}
+{'loss': 0.6694, 'learning_rate': 1.523809523809524e-05, 'epoch': 0.71}
+{'loss': 0.5219, 'learning_rate': 1.4285714285714287e-05, 'epoch': 0.86}
+{'loss': 0.7052, 'learning_rate': 1.3333333333333333e-05, 'epoch': 1.0}
+  0%|          | 0/2 [00:00&lt;?, ?it/s]
+100%|██████████| 2/2 [00:00&lt;00:00,  4.86it/s]main.py:561: FutureWarning:
+
+load_metric is deprecated and will be removed in the next major version of datasets. Use 'evaluate.load' instead, from the new library 🤗 Evaluate: https://huggingface.co/docs/evaluate
+
+
+
+Downloading builder script: 4.21kB [00:00, 11.4MB/s]                   
+
+
+Downloading builder script: 6.50kB [00:00, 21.8MB/s]                   
+                                              
+ 33%|███▎      | 7/21 [00:18&lt;00:28,  2.02s/it]
+100%|██████████| 2/2 [00:00&lt;00:00,  4.86it/s]
+ 67%|██████▋   | 14/21 [00:34&lt;00:14,  2.07s/it]The following columns in the evaluation set don't have a corresponding argument in `DistilBertForSequenceClassification.forward` and have been ignored: text. If text are not expected by `DistilBertForSequenceClassification.forward`,  you can safely ignore this message.
+***** Running Evaluation *****
+  Num examples = 24
+  Batch size = 16
+{'eval_loss': 0.5350419878959656, 'eval_accuracy': 0.7916666666666666, 'eval_f1': 0.0, 'eval_runtime': 1.5536, 'eval_samples_per_second': 15.448, 'eval_steps_per_second': 1.287, 'epoch': 1.0}
+{'loss': 0.5942, 'learning_rate': 1.2380952380952383e-05, 'epoch': 1.14}
+{'loss': 0.5899, 'learning_rate': 1.1428571428571429e-05, 'epoch': 1.29}
+{'loss': 0.5317, 'learning_rate': 1.0476190476190477e-05, 'epoch': 1.43}
+{'loss': 0.4516, 'learning_rate': 9.523809523809525e-06, 'epoch': 1.57}
+{'loss': 0.5121, 'learning_rate': 8.571428571428571e-06, 'epoch': 1.71}
+{'loss': 0.5264, 'learning_rate': 7.61904761904762e-06, 'epoch': 1.86}
+{'loss': 0.539, 'learning_rate': 6.666666666666667e-06, 'epoch': 2.0}
+
+  0%|          | 0/2 [00:00&lt;?, ?it/s]
+                                               A
+ 67%|██████▋   | 14/21 [00:35&lt;00:14,  2.07s/it]
+100%|██████████| 2/2 [00:00&lt;00:00,  4.95it/s]
+100%|██████████| 21/21 [00:52&lt;00:00,  2.05s/it]The following columns in the evaluation set don't have a corresponding argument in `DistilBertForSequenceClassification.forward` and have been ignored: text. If text are not expected by `DistilBertForSequenceClassification.forward`,  you can safely ignore this message.
+***** Running Evaluation *****
+  Num examples = 24
+  Batch size = 16
+{'eval_loss': 0.4877033233642578, 'eval_accuracy': 0.7916666666666666, 'eval_f1': 0.0, 'eval_runtime': 1.1789, 'eval_samples_per_second': 20.357, 'eval_steps_per_second': 1.696, 'epoch': 2.0}
+{'loss': 0.4059, 'learning_rate': 5.7142857142857145e-06, 'epoch': 2.14}
+{'loss': 0.5851, 'learning_rate': 4.761904761904762e-06, 'epoch': 2.29}
+{'loss': 0.4135, 'learning_rate': 3.80952380952381e-06, 'epoch': 2.43}
+{'loss': 0.6571, 'learning_rate': 2.8571428571428573e-06, 'epoch': 2.57}
+{'loss': 0.4883, 'learning_rate': 1.904761904761905e-06, 'epoch': 2.71}
+{'loss': 0.5114, 'learning_rate': 9.523809523809525e-07, 'epoch': 2.86}
+{'loss': 0.5215, 'learning_rate': 0.0, 'epoch': 3.0}
+
+  0%|          | 0/2 [00:00&lt;?, ?it/s]
+                                               A
+100%|██████████| 21/21 [00:54&lt;00:00,  2.05s/it]
+100%|██████████| 2/2 [00:00&lt;00:00,  6.38it/s]
+                                             
+
+Training completed. Do not forget to share your model on huggingface.co/models =)
+
+
+100%|██████████| 21/21 [00:55&lt;00:00,  2.62s/it]
+tokenizer config file saved in /tmp/tokenizer/tokenizer_config.json
+Special tokens file saved in /tmp/tokenizer/special_tokens_map.json
+Configuration saved in /tmp/model/config.json
+Model weights saved in /tmp/model/pytorch_model.bin
+{'eval_loss': 0.4750453531742096, 'eval_accuracy': 0.7916666666666666, 'eval_f1': 0.0, 'eval_runtime': 1.0524, 'eval_samples_per_second': 22.806, 'eval_steps_per_second': 1.9, 'epoch': 3.0}
+{'train_runtime': 55.1543, 'train_samples_per_second': 5.439, 'train_steps_per_second': 0.381, 'train_loss': 0.5624780683290391, 'epoch': 3.0}
+&gt; 2024-03-24 17:26:00,230 [info] To track results use the CLI: {'info_cmd': 'mlrun get run 53252ce7aacb4b1aacf86bf3b862daa2 -p hugging-face-trainer-avia', 'logs_cmd': 'mlrun logs 53252ce7aacb4b1aacf86bf3b862daa2 -p hugging-face-trainer-avia'}
+&gt; 2024-03-24 17:26:00,231 [info] Or click for UI: {'ui_url': 'https://dashboard.default-tenant.app.app-lab-2-b688.iguazio-cd2.com/mlprojects/hugging-face-trainer-avia/jobs/monitor/53252ce7aacb4b1aacf86bf3b862daa2/overview'}
+&gt; 2024-03-24 17:26:00,231 [info] Run execution finished: {'status': 'completed', 'name': 'hugging-face-classifier-trainer-train'}
+</pre></div>
+</div>
+<div class="output text_html"><style>
+.dictlist {
+  background-color: #4EC64B;
+  text-align: center;
+  margin: 4px;
+  border-radius: 3px; padding: 0px 3px 1px 3px; display: inline-block;}
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+  cursor: pointer;
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+  text-align: left;
+  margin: 4px; border-radius: 3px; padding: 0px 3px 1px 3px; display: inline-block;
+}
+div.block.hidden {
+  display: none;
+}
+.clickable {
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+}
+.ellipsis {
+  display: inline-block;
+  max-width: 60px;
+  white-space: nowrap;
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+}
+.master-wrapper {
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+  flex-flow: row nowrap;
+  justify-content: flex-start;
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+}
+.master-tbl {
+  flex: 3
+}
+.master-wrapper > div {
+  margin: 4px;
+  padding: 10px;
+}
+iframe.fileview {
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+.pane-header-title {
+  width: 80%;
+  font-weight: 500;
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+  font-weight: 700;
+  float: right;
+  margin-top: -5px;
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+.master-wrapper .right-pane {
+  border: 1px inset silver;
+  width: 40%;
+  min-height: 300px;
+  flex: 3
+  min-width: 500px;
+}
+.master-wrapper * {
+  box-sizing: border-box;
+}
+</style><script>
+function copyToClipboard(fld) {
+    if (document.queryCommandSupported && document.queryCommandSupported('copy')) {
+        var textarea = document.createElement('textarea');
+        textarea.textContent = fld.innerHTML;
+        textarea.style.position = 'fixed';
+        document.body.appendChild(textarea);
+        textarea.select();
+
+        try {
+            return document.execCommand('copy'); // Security exception may be thrown by some browsers.
+        } catch (ex) {
+
+        } finally {
+            document.body.removeChild(textarea);
+        }
+    }
+}
+function expandPanel(el) {
+  const panelName = "#" + el.getAttribute('paneName');
+  console.log(el.title);
+
+  document.querySelector(panelName + "-title").innerHTML = el.title
+  iframe = document.querySelector(panelName + "-body");
+
+  const tblcss = `<style> body { font-family: Arial, Helvetica, sans-serif;}
+    #csv { margin-bottom: 15px; }
+    #csv table { border-collapse: collapse;}
+    #csv table td { padding: 4px 8px; border: 1px solid silver;} </style>`;
+
+  function csvToHtmlTable(str) {
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+<div class="master-wrapper">
+<div class="block master-tbl"><div>
+<style scoped="">
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+<thead>
+<tr style="text-align: right;">
+<th>project</th>
+<th>uid</th>
+<th>iter</th>
+<th>start</th>
+<th>state</th>
+<th>name</th>
+<th>labels</th>
+<th>inputs</th>
+<th>parameters</th>
+<th>results</th>
+<th>artifacts</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td>hugging-face-trainer-avia</td>
+<td><div title="53252ce7aacb4b1aacf86bf3b862daa2"><a href="https://dashboard.default-tenant.app.app-lab-2-b688.iguazio-cd2.com/mlprojects/hugging-face-trainer-avia/jobs/monitor/53252ce7aacb4b1aacf86bf3b862daa2/overview" target="_blank">...b862daa2</a></div></td>
+<td>0</td>
+<td>Mar 24 17:24:39</td>
+<td>completed</td>
+<td>hugging-face-classifier-trainer-train</td>
+<td><div class="dictlist">v3io_user=avia</div><div class="dictlist">kind=job</div><div class="dictlist">owner=avia</div><div class="dictlist">mlrun/client_version=1.6.1</div><div class="dictlist">mlrun/client_python_version=3.9.16</div><div class="dictlist">host=hugging-face-classifier-trainer-train-dqqfr</div></td>
+<td></td>
+<td><div class="dictlist">hf_dataset=Shayanvsf/US_Airline_Sentiment</div><div class="dictlist">drop_columns=['airline_sentiment_confidence', 'negativereason_confidence']</div><div class="dictlist">pretrained_tokenizer=distilbert-base-uncased</div><div class="dictlist">pretrained_model=distilbert-base-uncased</div><div class="dictlist">model_class=transformers.AutoModelForSequenceClassification</div><div class="dictlist">label_name=airline_sentiment</div><div class="dictlist">num_of_train_samples=100</div><div class="dictlist">metrics=['accuracy', 'f1']</div><div class="dictlist">random_state=42</div><div class="dictlist">TRAIN_output_dir=finetuning-sentiment-model-3000-samples</div><div class="dictlist">TRAIN_learning_rate=2e-05</div><div class="dictlist">TRAIN_per_device_train_batch_size=16</div><div class="dictlist">TRAIN_per_device_eval_batch_size=16</div><div class="dictlist">TRAIN_num_train_epochs=3</div><div class="dictlist">TRAIN_weight_decay=0.01</div><div class="dictlist">TRAIN_push_to_hub=False</div><div class="dictlist">TRAIN_evaluation_strategy=epoch</div><div class="dictlist">TRAIN_eval_steps=1</div><div class="dictlist">TRAIN_logging_steps=1</div><div class="dictlist">CLASS_num_labels=2</div></td>
+<td><div class="dictlist">loss=0.5215</div><div class="dictlist">learning_rate=0.0</div><div class="dictlist">eval_loss=0.4750453531742096</div><div class="dictlist">eval_accuracy=0.7916666666666666</div><div class="dictlist">eval_f1=0.0</div><div class="dictlist">eval_runtime=1.0524</div><div class="dictlist">eval_samples_per_second=22.806</div><div class="dictlist">eval_steps_per_second=1.9</div><div class="dictlist">train_runtime=55.1543</div><div class="dictlist">train_samples_per_second=5.439</div><div class="dictlist">train_steps_per_second=0.381</div><div class="dictlist">total_flos=3327208489680.0</div></td>
+<td><div class="artifact" onclick="expandPanel(this)" panename="result30f29807" title="files/v3io/projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/loss_plot.html">loss_plot</div><div class="artifact" onclick="expandPanel(this)" panename="result30f29807" title="files/v3io/projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/learning_rate_plot.html">learning_rate_plot</div><div class="artifact" onclick="expandPanel(this)" panename="result30f29807" title="files/v3io/projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/eval_loss_plot.html">eval_loss_plot</div><div class="artifact" onclick="expandPanel(this)" panename="result30f29807" title="files/v3io/projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/eval_accuracy_plot.html">eval_accuracy_plot</div><div class="artifact" onclick="expandPanel(this)" panename="result30f29807" title="files/v3io/projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/eval_f1_plot.html">eval_f1_plot</div><div class="artifact" onclick="expandPanel(this)" panename="result30f29807" title="files/v3io/projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/eval_runtime_plot.html">eval_runtime_plot</div><div class="artifact" onclick="expandPanel(this)" panename="result30f29807" title="files/v3io/projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/eval_samples_per_second_plot.html">eval_samples_per_second_plot</div><div class="artifact" onclick="expandPanel(this)" panename="result30f29807" title="files/v3io/projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/eval_steps_per_second_plot.html">eval_steps_per_second_plot</div><div title="v3io:///projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/tokenizer.zip">tokenizer</div><div title="v3io:///projects/hugging-face-trainer-avia/artifacts/hugging-face-classifier-trainer-train/0/model/">model</div></td>
+</tr>
+</tbody>
+</table>
+</div></div>
+<div class="right-pane block hidden" id="result30f29807-pane">
+<div class="pane-header">
+<span class="pane-header-title" id="result30f29807-title">Title</span>
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+<iframe class="fileview" id="result30f29807-body"></iframe>
+</div>
+</div>
+</div><div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+<div class="output text_html"><b> &gt; to track results use the .show() or .logs() methods  or <a href="https://dashboard.default-tenant.app.app-lab-2-b688.iguazio-cd2.com/mlprojects/hugging-face-trainer-avia/jobs/monitor/53252ce7aacb4b1aacf86bf3b862daa2/overview" target="_blank">click here</a> to open in UI</b></div><div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&gt; 2024-03-24 17:26:09,792 [info] Run execution finished: {'status': 'completed', 'name': 'hugging-face-classifier-trainer-train'}
+</pre></div>
+</div>
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diff --git a/functions/master/hugging_face_classifier_trainer/0.3.0/static/function.html b/functions/master/hugging_face_classifier_trainer/0.3.0/static/function.html
new file mode 100644
index 00000000..08fe9f21
--- /dev/null
+++ b/functions/master/hugging_face_classifier_trainer/0.3.0/static/function.html
@@ -0,0 +1,392 @@
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta content="IE=edge" http-equiv="X-UA-Compatible">
+    <meta content="width=device-width, initial-scale=1.0" name="viewport">
+    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/styles/atom-one-dark.min.css">
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/highlight.min.js"></script>
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/languages/yaml.min.js"></script>
+    <title>Source</title>
+    <script>hljs.highlightAll();</script>
+</head>
+
+<body style="background-color:darkgray; margin: 0 0 0 0;">
+    <pre style="margin: 0 1em;">
+        <code class="yaml">
+kind: job
+metadata:
+  name: hugging-face-classifier-trainer
+  tag: ''
+  hash: f9d8aa4a2c66e24fa418bb163829adc3e2ada06c
+  project: ''
+  labels:
+    author: davids
+  categories:
+  - deep-learning
+  - huggingface
+  - machine-learning
+  - model-training
+spec:
+  command: ''
+  args: []
+  image: ''
+  build:
+    functionSourceCode: import os
import shutil
import tempfile
import zipfile
from abc import ABC
from typing import Any, Callable, Dict, List, Optional, Tuple, Union

import mlrun
import mlrun.datastore
import mlrun.utils
import numpy as np
import pandas as pd
import transformers
from datasets import Dataset, load_dataset, load_metric
from mlrun import MLClientCtx
from mlrun import feature_store as fs
from mlrun.artifacts import Artifact, PlotlyArtifact
from mlrun.datastore import DataItem
from mlrun.frameworks._common import CommonTypes, MLRunInterface
from mlrun.utils import create_class
from plotly import graph_objects as go
from sklearn.model_selection import train_test_split
from transformers import (
    AutoTokenizer,
    DataCollatorWithPadding,
    EvalPrediction,
    PreTrainedModel,
    PreTrainedTokenizer,
    Trainer,
    TrainerCallback,
    TrainerControl,
    TrainerState,
    TrainingArguments,
)


# ----------------------from MLRUN--------------------------------
class HFORTOptimizerMLRunInterface(MLRunInterface, ABC):
    """
    Interface for adding MLRun features for tensorflow keras API.
    """

    # MLRun's context default name:
    DEFAULT_CONTEXT_NAME = "mlrun-huggingface"

    # Attributes to be inserted so the MLRun interface will be fully enabled.
    _PROPERTIES = {
        "_auto_log": False,
        "_context": None,
        "_model_name": "model",
        "_tag": "",
        "_labels": None,
        "_extra_data": None,
    }
    _METHODS = ["enable_auto_logging"]
    # Attributes to replace so the MLRun interface will be fully enabled.
    _REPLACED_METHODS = [
        "optimize",
    ]

    @classmethod
    def add_interface(
        cls,
        obj,
        restoration: CommonTypes.MLRunInterfaceRestorationType = None,
    ):
        """
        Enrich the object with this interface properties, methods and functions, so it will have this TensorFlow.Keras
        MLRun's features.
        :param obj:                     The object to enrich his interface.
        :param restoration: Restoration information tuple as returned from 'remove_interface' in order to
                                        add the interface in a certain state.
        """
        super(HFORTOptimizerMLRunInterface, cls).add_interface(
            obj=obj, restoration=restoration
        )

    @classmethod
    def mlrun_optimize(cls):
        """
        MLRun's tf.keras.Model.fit wrapper. It will setup the optimizer when using horovod. The optimizer must be
        passed in a keyword argument and when using horovod, it must be passed as an Optimizer instance, not a string.

        raise MLRunInvalidArgumentError: In case the optimizer provided did not follow the instructions above.
        """

        def wrapper(self, *args, **kwargs):
            save_dir = cls._get_function_argument(
                self.optimize,
                argument_name="save_dir",
                passed_args=args,
                passed_kwargs=kwargs,
            )[0]

            # Call the original optimize method:
            result = self.original_optimize(*args, **kwargs)

            if self._auto_log:
                # Log the onnx model:
                self._context.log_model(
                    key="model",
                    db_key=self._model_name,
                    model_file=f"{save_dir}/model_optimized.onnx",
                    tag=self._tag,
                    framework="ONNX",
                    labels=self._labels,
                    extra_data=self._extra_data,
                )

            return result

        return wrapper

    def enable_auto_logging(
        self,
        context: mlrun.MLClientCtx,
        model_name: str = "model",
        tag: str = "",
        labels: Dict[str, str] = None,
        extra_data: dict = None,
    ):
        self._auto_log = True

        self._context = context
        self._model_name = model_name
        self._tag = tag
        self._labels = labels
        self._extra_data = extra_data


class HFTrainerMLRunInterface(MLRunInterface, ABC):
    """
    Interface for adding MLRun features for tensorflow keras API.
    """

    # MLRuns context default name:
    DEFAULT_CONTEXT_NAME = "mlrun-huggingface"

    # Attributes to replace so the MLRun interface will be fully enabled.
    _REPLACED_METHODS = [
        "train",
        # "evaluate"
    ]

    @classmethod
    def add_interface(
        cls,
        obj: Trainer,
        restoration: CommonTypes.MLRunInterfaceRestorationType = None,
    ):
        """
        Enrich the object with this interface properties, methods and functions, so it will have this TensorFlow.Keras
        MLRuns features.
        :param obj:                     The object to enrich his interface.
        :param restoration: Restoration information tuple as returned from 'remove_interface' in order to
                                        add the interface in a certain state.
        """

        super(HFTrainerMLRunInterface, cls).add_interface(
            obj=obj, restoration=restoration
        )

    @classmethod
    def mlrun_train(cls):

        """
        MLRuns tf.keras.Model.fit wrapper. It will setup the optimizer when using horovod. The optimizer must be
        passed in a keyword argument and when using horovod, it must be passed as an Optimizer instance, not a string.

        raise MLRunInvalidArgumentError: In case the optimizer provided did not follow the instructions above.
        """

        def wrapper(self: Trainer, *args, **kwargs):
            # Restore the evaluation method as `train` will use it:
            # cls._restore_attribute(obj=self, attribute_name="evaluate")

            # Call the original fit method:
            result = self.original_train(*args, **kwargs)

            # Replace the evaluation method again:
            # cls._replace_function(obj=self, function_name="evaluate")

            return result

        return wrapper


class MLRunCallback(TrainerCallback):
    """
    Callback for collecting logs during training / evaluation of the `Trainer` API.
    """

    def __init__(
        self,
        context: mlrun.MLClientCtx = None,
        model_name: str = "model",
        tag: str = "",
        labels: Dict[str, str] = None,
        extra_data: dict = None,
    ):
        super().__init__()

        # Store the configurations:
        self._context = (
            context
            if context is not None
            else mlrun.get_or_create_ctx("./mlrun-huggingface")
        )
        self._model_name = model_name
        self._tag = tag
        self._labels = labels
        self._extra_data = extra_data if extra_data is not None else {}

        # Set up the logging mode:
        self._is_training = False
        self._steps: List[List[int]] = []
        self._metric_scores: Dict[str, List[float]] = {}
        self._artifacts: Dict[str, Artifact] = {}

    def on_epoch_begin(
        self,
        args: TrainingArguments,
        state: TrainerState,
        control: TrainerControl,
        **kwargs,
    ):
        self._steps.append([])

    def on_epoch_end(
        self,
        args: TrainingArguments,
        state: TrainerState,
        control: TrainerControl,
        **kwargs,
    ):
        self._log_metrics()

    def on_log(
        self,
        args: TrainingArguments,
        state: TrainerState,
        control: TrainerControl,
        logs: Dict[str, float] = None,
        **kwargs,
    ):
        recent_logs = state.log_history[-1].copy()

        recent_logs.pop("epoch")
        current_step = int(recent_logs.pop("step"))
        if current_step not in self._steps[-1]:
            self._steps[-1].append(current_step)

        for metric_name, metric_score in recent_logs.items():
            if metric_name.startswith("train_"):
                if metric_name.split("train_")[1] not in self._metric_scores:
                    self._metric_scores[metric_name] = [metric_score]
                continue
            if metric_name not in self._metric_scores:
                self._metric_scores[metric_name] = []
            self._metric_scores[metric_name].append(metric_score)

    def on_train_begin(
        self,
        args: TrainingArguments,
        state: TrainerState,
        control: TrainerControl,
        **kwargs,
    ):
        self._is_training = True

    def on_train_end(
        self,
        args: TrainingArguments,
        state: TrainerState,
        control: TrainerControl,
        model: PreTrainedModel = None,
        tokenizer: PreTrainedTokenizer = None,
        **kwargs,
    ):
        self._log_metrics()

        temp_directory = tempfile.gettempdir()

        # Save and log the tokenizer:
        if tokenizer is not None:
            # Save tokenizer:
            tokenizer_dir = os.path.join(temp_directory, "tokenizer")
            tokenizer.save_pretrained(save_directory=tokenizer_dir)
            # Zip the tokenizer directory:
            tokenizer_zip = shutil.make_archive(
                base_name="tokenizer",
                format="zip",
                root_dir=tokenizer_dir,
            )
            # Log the zip file:
            self._artifacts["tokenizer"] = self._context.log_artifact(
                item="tokenizer", local_path=tokenizer_zip
            )

        # Save the model:
        model_dir = os.path.join(temp_directory, "model")
        model.save_pretrained(save_directory=model_dir)

        # Zip the model directory:
        shutil.make_archive(
            base_name="model",
            format="zip",
            root_dir=model_dir,
        )

        # Log the model:
        self._context.log_model(
            key="model",
            db_key=self._model_name,
            model_file="model.zip",
            tag=self._tag,
            framework="Hugging Face",
            labels=self._labels,
            extra_data={**self._artifacts, **self._extra_data},
        )

    def on_evaluate(
        self,
        args: TrainingArguments,
        state: TrainerState,
        control: TrainerControl,
        **kwargs,
    ):
        self._log_metrics()

        if self._is_training:
            return

        # TODO: Update the model object

    def _log_metrics(self):
        for metric_name, metric_scores in self._metric_scores.items():
            self._context.log_result(key=metric_name, value=metric_scores[-1])
            if len(metric_scores) > 1:
                self._log_metric_plot(name=metric_name, scores=metric_scores)
        self._context.commit(completed=False)

    def _log_metric_plot(self, name: str, scores: List[float]):
        # Initialize a plotly figure:
        metric_figure = go.Figure()

        # Add titles:
        metric_figure.update_layout(
            title=name.capitalize().replace("_", " "),
            xaxis_title="Samples",
            yaxis_title="Scores",
        )

        # Draw:
        metric_figure.add_trace(
            go.Scatter(x=np.arange(len(scores)), y=scores, mode="lines")
        )

        # Create the plotly artifact:
        artifact_name = f"{name}_plot"
        artifact = PlotlyArtifact(key=artifact_name, figure=metric_figure)
        self._artifacts[artifact_name] = self._context.log_artifact(artifact)


def _apply_mlrun_on_trainer(
    trainer: transformers.Trainer,
    model_name: str = None,
    tag: str = "",
    context: mlrun.MLClientCtx = None,
    auto_log: bool = True,
    labels: Dict[str, str] = None,
    extra_data: dict = None,
    **kwargs,
):
    # Get parameters defaults:
    if context is None:
        context = mlrun.get_or_create_ctx(HFTrainerMLRunInterface.DEFAULT_CONTEXT_NAME)

    HFTrainerMLRunInterface.add_interface(obj=trainer)

    if auto_log:
        trainer.add_callback(
            MLRunCallback(
                context=context,
                model_name=model_name,
                tag=tag,
                labels=labels,
                extra_data=extra_data,
            )
        )


def _apply_mlrun_on_optimizer(
    optimizer,
    model_name: str = None,
    tag: str = "",
    context: mlrun.MLClientCtx = None,
    auto_log: bool = True,
    labels: Dict[str, str] = None,
    extra_data: dict = None,
    **kwargs,
):
    # Get parameters defaults:
    if context is None:
        context = mlrun.get_or_create_ctx(
            HFORTOptimizerMLRunInterface.DEFAULT_CONTEXT_NAME
        )

    HFORTOptimizerMLRunInterface.add_interface(obj=optimizer)

    if auto_log:
        optimizer.enable_auto_logging(
            context=context,
            model_name=model_name,
            tag=tag,
            labels=labels,
            extra_data=extra_data,
        )


def apply_mlrun(
    huggingface_object,
    model_name: str = None,
    tag: str = "",
    context: mlrun.MLClientCtx = None,
    auto_log: bool = True,
    labels: Dict[str, str] = None,
    extra_data: dict = None,
    **kwargs,
):
    """
    Wrap the given model with MLRun's interface providing it with mlrun's additional features.
    :param huggingface_object: The model to wrap. Can be loaded from the model path given as well.
    :param model_name:         The model name to use for storing the model artifact. Default: "model".
    :param tag:                The model's tag to log with.
    :param context:            MLRun context to work with. If no context is given it will be retrieved via
                               'mlrun.get_or_create_ctx(None)'
    :param auto_log:           Whether to enable MLRun's auto logging. Default: True.
    """

    if isinstance(huggingface_object, transformers.Trainer):
        return _apply_mlrun_on_trainer(
            trainer=huggingface_object,
            model_name=model_name,
            tag=tag,
            context=context,
            auto_log=auto_log,
            labels=labels,
            extra_data=extra_data,
        )
    import optimum.onnxruntime as optimum_ort

    if isinstance(huggingface_object, optimum_ort.ORTOptimizer):
        return _apply_mlrun_on_optimizer(
            optimizer=huggingface_object,
            model_name=model_name,
            tag=tag,
            context=context,
            auto_log=auto_log,
            labels=labels,
            extra_data=extra_data,
        )
    raise mlrun.errors.MLRunInvalidArgumentError


# ---------------------- from auto_trainer--------------------------------
class KWArgsPrefixes:
    MODEL_CLASS = "CLASS_"
    FIT = "FIT_"
    TRAIN = "TRAIN_"
    PREDICT = "PREDICT_"


def _get_sub_dict_by_prefix(src: Dict, prefix_key: str) -> Dict[str, Any]:
    """
    Collect all the keys from the given dict that starts with the given prefix and creates a new dictionary with these
    keys.

    :param src:         The source dict to extract the values from.
    :param prefix_key:  Only keys with this prefix will be returned. The keys in the result dict will be without this
                        prefix.
    """
    return {
        key.replace(prefix_key, ""): val
        for key, val in src.items()
        if key.startswith(prefix_key)
    }


def _get_dataframe(
    context: MLClientCtx,
    dataset: DataItem,
    label_columns: Optional[Union[str, List[str]]] = None,
    drop_columns: Union[str, List[str], int, List[int]] = None,
) -> Tuple[pd.DataFrame, Optional[Union[str, List[str]]]]:
    """
    Getting the DataFrame of the dataset and drop the columns accordingly.

    :param context:         MLRun context.
    :param dataset:         The dataset to train the model on.
                            Can be either a list of lists, dict, URI or a FeatureVector.
    :param label_columns:   The target label(s) of the column(s) in the dataset. for Regression or
                            Classification tasks.
    :param drop_columns:    str/int or a list of strings/ints that represent the column names/indices to drop.
    """
    if isinstance(dataset, (list, dict)):
        dataset = pd.DataFrame(dataset)
        # Checking if drop_columns provided by integer type:
        if drop_columns:
            if isinstance(drop_columns, str) or (
                isinstance(drop_columns, list)
                and any(isinstance(col, str) for col in drop_columns)
            ):
                context.logger.error(
                    "drop_columns must be an integer/list of integers if not provided with a URI/FeatureVector dataset"
                )
                raise ValueError
            dataset.drop(drop_columns, axis=1, inplace=True)

        return dataset, label_columns

    store_uri_prefix, _ = mlrun.datastore.parse_store_uri(dataset.artifact_url)
    if mlrun.utils.StorePrefix.FeatureVector == store_uri_prefix:
        # feature-vector case:
        label_columns = label_columns or dataset.meta.status.label_column
        dataset = fs.get_offline_features(
            dataset.meta.uri, drop_columns=drop_columns
        ).to_dataframe()

        context.logger.info(f"label columns: {label_columns}")
    else:
        # simple URL case:
        dataset = dataset.as_df()
        if drop_columns:
            if all(col in dataset for col in drop_columns):
                dataset = dataset.drop(drop_columns, axis=1)
            else:
                context.logger.info(
                    "not all of the columns to drop in the dataset, drop columns process skipped"
                )
    return dataset, label_columns


# ---------------------- Hugging Face Trainer --------------------------------


def _create_compute_metrics(metrics: List[str]) -> Callable[[EvalPrediction], Dict]:
    """
    This function create and returns a function that will be used to compute metrics at evaluation.
    :param metrics: List of different metrics for evaluate the model such as f1, accuracy etc.

    :returns: Function that will be used to compute metrics at evaluation.
             Must take a [`EvalPrediction`] and return a dictionary string to metric values.
    """

    def _compute_metrics(eval_pred):
        logits, labels = eval_pred
        predictions = np.argmax(logits, axis=-1)
        metric_dict_results = {}
        for metric in metrics:
            load_met = load_metric(metric)
            metric_res = load_met.compute(predictions=predictions, references=labels)[
                metric
            ]
            metric_dict_results[metric] = metric_res

        return metric_dict_results

    return _compute_metrics


def _edit_columns(
    dataset: Dataset,
    drop_columns: List[str] = None,
    rename_columns: [str, str] = None,
) -> Dataset:
    """
    Drop and renames that columns of the given dataset
    :param dataset:         Dataset to process
    :param drop_columns:    The columns to drop from the dataset.
    :param rename_columns:  Dict of columns ro rename : {<old_name>: <new_name>, ...}

    :returns: The dataset after the desired process
    """
    if drop_columns:
        dataset = dataset.remove_columns(drop_columns)
    if rename_columns:
        dataset = dataset.rename_columns(rename_columns)
    return dataset


def _prepare_dataset(
    context: MLClientCtx,
    dataset_name: str,
    label_name: str = None,
    drop_columns: Optional[List[str]] = None,
    num_of_train_samples: int = None,
    train_test_split_size: float = None,
    random_state: int = None,
) -> Tuple[Dataset, Dataset]:
    """
    Loading the dataset and editing the columns

    :param context:                 MLRun contex
    :param dataset_name:            The name of the dataset to get from the HuggingFace hub
    :param label_name:              The target label of the column in the dataset.
    :param drop_columns:            The columns to drop from the dataset.
    :param num_of_train_samples:    Max number of training samples, for debugging.
    :param train_test_split_size:   Should be between 0.0 and 1.0 and represent the proportion of the dataset to include
                                    in the test split.
    :param random_state:            Random state for train_test_split

    """

    context.logger.info(
        f"Loading and editing {dataset_name} dataset from Hugging Face hub"
    )
    rename_cols = {label_name: "labels"}

    # Loading and editing dataset:
    dataset = load_dataset(dataset_name)

    # train set
    train_dataset = dataset["train"]
    if num_of_train_samples:
        train_dataset = train_dataset.shuffle(seed=random_state).select(
            list(range(num_of_train_samples))
        )
    train_dataset = _edit_columns(train_dataset, drop_columns, rename_cols)

    # test set
    test_dataset = dataset["test"]
    if train_test_split_size or num_of_train_samples:
        train_test_split_size = train_test_split_size or 0.2
        num_of_test_samples = int(
            (train_dataset.num_rows * train_test_split_size)
            // (1 - train_test_split_size)
        )
        test_dataset = test_dataset.shuffle(seed=random_state).select(
            list(range(num_of_test_samples))
        )
    test_dataset = _edit_columns(test_dataset, drop_columns, rename_cols)

    return train_dataset, test_dataset


def train(
    context: MLClientCtx,
    hf_dataset: str = None,
    dataset: DataItem = None,
    test_set: DataItem = None,
    drop_columns: Optional[List[str]] = None,
    pretrained_tokenizer: str = None,
    pretrained_model: str = None,
    model_class: str = None,
    model_name: str = "huggingface-model",
    label_name: str = "labels",
    text_col: str = "text",
    num_of_train_samples: int = None,
    train_test_split_size: float = None,
    metrics: List[str] = None,
    random_state: int = None,
):
    """
    Training and evaluating a pretrained model with a pretrained tokenizer over a dataset.
    The dataset can be either be the name of the dataset that contains in the HuggingFace hub,
    or a URI or a FeatureVector

    :param context:                 MLRun context
    :param hf_dataset:              The name of the dataset to get from the HuggingFace hub
    :param dataset:                 The dataset to train the model on. Can be either a URI or a FeatureVector
    :param test_set:                The test set to train the model with.
    :param drop_columns:            The columns to drop from the dataset.
    :param pretrained_tokenizer:    The name of the pretrained tokenizer from the HuggingFace hub.
    :param pretrained_model:        The name of the pretrained model from the HuggingFace hub.
    :param model_name:              The model's name to use for storing the model artifact, default to 'model'
    :param model_class:             The class of the model, e.g. `transformers.AutoModelForSequenceClassification`
    :param label_name:              The target label of the column in the dataset.
    :param text_col:                The input text column un the dataset.
    :param num_of_train_samples:    Max number of training samples, for debugging.
    :param train_test_split_size:   Should be between 0.0 and 1.0 and represent the proportion of the dataset to include
                                    in the test split.
    :param metrics:                 List of different metrics for evaluate the model such as f1, accuracy etc.
    :param random_state:            Random state for train_test_split
    """

    if train_test_split_size is None and test_set is None:
        context.logger.info(
            "'train_test_split_size' is not provided, setting train_test_split_size to 0.2"
        )
        train_test_split_size = 0.2

    # Creating tokenizer:
    tokenizer = AutoTokenizer.from_pretrained(pretrained_tokenizer)

    def preprocess_function(examples):
        return tokenizer(examples[text_col], truncation=True)

    # prepare data for training
    if hf_dataset:
        train_dataset, test_dataset = _prepare_dataset(
            context,
            hf_dataset,
            label_name,
            drop_columns,
            num_of_train_samples,
            train_test_split_size,
            random_state=random_state,
        )
    elif dataset:
        # Get DataFrame by URL or by FeatureVector:
        train_dataset, label_name = _get_dataframe(
            context=context,
            dataset=dataset,
            label_columns=label_name,
            drop_columns=drop_columns,
        )
        if test_set:
            test_dataset, _ = _get_dataframe(
                context=context,
                dataset=test_set,
                label_columns=label_name,
                drop_columns=drop_columns,
            )
        else:
            train_dataset, test_dataset = train_test_split(
                train_dataset,
                test_size=train_test_split_size,
                random_state=random_state,
            )
        train_dataset = Dataset.from_pandas(train_dataset)
        test_dataset = Dataset.from_pandas(test_dataset)
    else:
        raise mlrun.errors.MLRunInvalidArgumentError(
            "Training data was not provided. A training dataset is mandatory for training."
            " Please provide a training set using one of the arguments 'hf_dataset' or 'dataset'."
        )

    # Mapping datasets with the tokenizer:
    tokenized_train = train_dataset.map(preprocess_function, batched=True)
    tokenized_test = test_dataset.map(preprocess_function, batched=True)

    # Creating data collator for batching:
    data_collator = DataCollatorWithPadding(tokenizer=tokenizer)

    # Parsing kwargs:
    train_kwargs = _get_sub_dict_by_prefix(
        src=context.parameters, prefix_key=KWArgsPrefixes.TRAIN
    )
    model_class_kwargs = _get_sub_dict_by_prefix(
        src=context.parameters, prefix_key=KWArgsPrefixes.MODEL_CLASS
    )

    # Loading our pretrained model:
    model_class_kwargs["pretrained_model_name_or_path"] = (
        model_class_kwargs.get("pretrained_model_name_or_path") or pretrained_model
    )
    train_kwargs["hub_token"] = train_kwargs.get("hub_token") or pretrained_tokenizer
    if not model_class_kwargs["pretrained_model_name_or_path"]:
        raise mlrun.errors.MLRunRuntimeError(
            "Must provide pretrained_model name as "
            "function argument or in extra params"
        )
    model = create_class(model_class).from_pretrained(**model_class_kwargs)

    # Preparing training arguments:
    training_args = TrainingArguments(
        **train_kwargs,
    )

    compute_metrics = _create_compute_metrics(metrics) if metrics else None
    trainer = Trainer(
        model=model,
        args=training_args,
        train_dataset=tokenized_train,
        eval_dataset=tokenized_test,
        tokenizer=tokenizer,
        data_collator=data_collator,
        compute_metrics=compute_metrics,
    )

    apply_mlrun(trainer, model_name=model_name)

    # Apply training with evaluation:
    context.logger.info(f"training '{model_name}'")
    trainer.train()


def _get_model_dir(model_uri: str):
    model_file, _, _ = mlrun.artifacts.get_model(model_uri)
    model_dir = tempfile.gettempdir()
    # Unzip the Model:
    with zipfile.ZipFile(model_file, "r") as zip_file:
        zip_file.extractall(model_dir)

    return model_dir


def optimize(
    model_path: str,
    model_name: str = "optimized_model",
    target_dir: str = "./optimized",
    optimization_level: int = 1,
):
    """
    Optimizing the transformer model using ONNX optimization.


    :param model_path:          The path of the model to optimize.
    :param model_name:          Name of the optimized model.
    :param target_dir:          The directory to save the ONNX model.
    :param optimization_level:  Optimization level performed by ONNX Runtime of the loaded graph. (default is 1)
    """
    # We import these in the function scope so ONNX won't be mandatory for the other handlers:
    from optimum.onnxruntime import ORTModelForSequenceClassification, ORTOptimizer
    from optimum.onnxruntime.configuration import OptimizationConfig

    model_dir = _get_model_dir(model_uri=model_path)
    # Creating configuration for optimization step:
    optimization_config = OptimizationConfig(optimization_level=optimization_level)

    # Converting our pretrained model to an ONNX-Runtime model:
    ort_model = ORTModelForSequenceClassification.from_pretrained(
        model_dir, from_transformers=True
    )

    # Creating an ONNX-Runtime optimizer from ONNX model:
    optimizer = ORTOptimizer.from_pretrained(ort_model)

    apply_mlrun(optimizer, model_name=model_name)
    # Optimizing and saving the ONNX model:
    optimizer.optimize(save_dir=target_dir, optimization_config=optimization_config)

+    base_image: mlrun/mlrun
+    commands: []
+    code_origin: ''
+    origin_filename: ''
+    requirements:
+    - onnx~=1.14.1
+    - onnxruntime~=1.16.1
+    - optimum~=1.6.4
+    - transformers~=4.26.1
+    - datasets~=2.10.1
+    - scikit-learn~=1.0.2
+  entry_points:
+    add_interface:
+      name: add_interface
+      doc: 'Enrich the object with this interface properties, methods and functions,
+        so it will have this TensorFlow.Keras
+
+        MLRuns features.'
+      parameters:
+      - name: cls
+      - name: obj
+        type: Trainer
+        doc: The object to enrich his interface.
+      - name: restoration
+        type: MLRunInterfaceRestorationType
+        doc: Restoration information tuple as returned from 'remove_interface' in
+          order to add the interface in a certain state.
+        default: null
+      outputs: []
+      lineno: 146
+      has_varargs: false
+      has_kwargs: false
+    mlrun_optimize:
+      name: mlrun_optimize
+      doc: 'MLRun''s tf.keras.Model.fit wrapper. It will setup the optimizer when
+        using horovod. The optimizer must be
+
+        passed in a keyword argument and when using horovod, it must be passed as
+        an Optimizer instance, not a string.
+
+
+        raise MLRunInvalidArgumentError: In case the optimizer provided did not follow
+        the instructions above.'
+      parameters:
+      - name: cls
+      outputs: []
+      lineno: 79
+      has_varargs: false
+      has_kwargs: false
+    wrapper:
+      name: wrapper
+      doc: ''
+      parameters:
+      - name: self
+        type: Trainer
+      outputs: []
+      lineno: 173
+      has_varargs: true
+      has_kwargs: true
+    enable_auto_logging:
+      name: enable_auto_logging
+      doc: ''
+      parameters:
+      - name: self
+      - name: context
+        type: MLClientCtx
+      - name: model_name
+        type: str
+        default: model
+      - name: tag
+        type: str
+        default: ''
+      - name: labels
+        type: Dict[str, str]
+        default: null
+      - name: extra_data
+        type: dict
+        default: null
+      outputs: []
+      lineno: 114
+      has_varargs: false
+      has_kwargs: false
+    mlrun_train:
+      name: mlrun_train
+      doc: 'MLRuns tf.keras.Model.fit wrapper. It will setup the optimizer when using
+        horovod. The optimizer must be
+
+        passed in a keyword argument and when using horovod, it must be passed as
+        an Optimizer instance, not a string.
+
+
+        raise MLRunInvalidArgumentError: In case the optimizer provided did not follow
+        the instructions above.'
+      parameters:
+      - name: cls
+      outputs: []
+      lineno: 164
+      has_varargs: false
+      has_kwargs: false
+    on_epoch_begin:
+      name: on_epoch_begin
+      doc: ''
+      parameters:
+      - name: self
+      - name: args
+        type: TrainingArguments
+      - name: state
+        type: TrainerState
+      - name: control
+        type: TrainerControl
+      outputs: []
+      lineno: 220
+      has_varargs: false
+      has_kwargs: true
+    on_epoch_end:
+      name: on_epoch_end
+      doc: ''
+      parameters:
+      - name: self
+      - name: args
+        type: TrainingArguments
+      - name: state
+        type: TrainerState
+      - name: control
+        type: TrainerControl
+      outputs: []
+      lineno: 229
+      has_varargs: false
+      has_kwargs: true
+    on_log:
+      name: on_log
+      doc: ''
+      parameters:
+      - name: self
+      - name: args
+        type: TrainingArguments
+      - name: state
+        type: TrainerState
+      - name: control
+        type: TrainerControl
+      - name: logs
+        type: Dict[str, float]
+        default: null
+      outputs: []
+      lineno: 238
+      has_varargs: false
+      has_kwargs: true
+    on_train_begin:
+      name: on_train_begin
+      doc: ''
+      parameters:
+      - name: self
+      - name: args
+        type: TrainingArguments
+      - name: state
+        type: TrainerState
+      - name: control
+        type: TrainerControl
+      outputs: []
+      lineno: 262
+      has_varargs: false
+      has_kwargs: true
+    on_train_end:
+      name: on_train_end
+      doc: ''
+      parameters:
+      - name: self
+      - name: args
+        type: TrainingArguments
+      - name: state
+        type: TrainerState
+      - name: control
+        type: TrainerControl
+      - name: model
+        type: PreTrainedModel
+        default: null
+      - name: tokenizer
+        type: PreTrainedTokenizer
+        default: null
+      outputs: []
+      lineno: 271
+      has_varargs: false
+      has_kwargs: true
+    on_evaluate:
+      name: on_evaluate
+      doc: ''
+      parameters:
+      - name: self
+      - name: args
+        type: TrainingArguments
+      - name: state
+        type: TrainerState
+      - name: control
+        type: TrainerControl
+      outputs: []
+      lineno: 322
+      has_varargs: false
+      has_kwargs: true
+    apply_mlrun:
+      name: apply_mlrun
+      doc: Wrap the given model with MLRun's interface providing it with mlrun's additional
+        features.
+      parameters:
+      - name: huggingface_object
+        doc: The model to wrap. Can be loaded from the model path given as well.
+      - name: model_name
+        type: str
+        doc: 'The model name to use for storing the model artifact. Default: "model".'
+        default: null
+      - name: tag
+        type: str
+        doc: The model's tag to log with.
+        default: ''
+      - name: context
+        type: MLClientCtx
+        doc: MLRun context to work with. If no context is given it will be retrieved
+          via 'mlrun.get_or_create_ctx(None)'
+        default: null
+      - name: auto_log
+        type: bool
+        doc: 'Whether to enable MLRun''s auto logging. Default: True.'
+        default: true
+      - name: labels
+        type: Dict[str, str]
+        default: null
+      - name: extra_data
+        type: dict
+        default: null
+      outputs: []
+      lineno: 421
+      has_varargs: false
+      has_kwargs: true
+    train:
+      name: train
+      doc: 'Training and evaluating a pretrained model with a pretrained tokenizer
+        over a dataset.
+
+        The dataset can be either be the name of the dataset that contains in the
+        HuggingFace hub,
+
+        or a URI or a FeatureVector'
+      parameters:
+      - name: context
+        type: MLClientCtx
+        doc: MLRun context
+      - name: hf_dataset
+        type: str
+        doc: The name of the dataset to get from the HuggingFace hub
+        default: null
+      - name: dataset
+        type: DataItem
+        doc: The dataset to train the model on. Can be either a URI or a FeatureVector
+        default: null
+      - name: test_set
+        type: DataItem
+        doc: The test set to train the model with.
+        default: null
+      - name: drop_columns
+        type: Optional[List[str]]
+        doc: The columns to drop from the dataset.
+        default: null
+      - name: pretrained_tokenizer
+        type: str
+        doc: The name of the pretrained tokenizer from the HuggingFace hub.
+        default: null
+      - name: pretrained_model
+        type: str
+        doc: The name of the pretrained model from the HuggingFace hub.
+        default: null
+      - name: model_class
+        type: str
+        doc: The class of the model, e.g. `transformers.AutoModelForSequenceClassification`
+        default: null
+      - name: model_name
+        type: str
+        doc: The model's name to use for storing the model artifact, default to 'model'
+        default: huggingface-model
+      - name: label_name
+        type: str
+        doc: The target label of the column in the dataset.
+        default: labels
+      - name: text_col
+        type: str
+        doc: The input text column un the dataset.
+        default: text
+      - name: num_of_train_samples
+        type: int
+        doc: Max number of training samples, for debugging.
+        default: null
+      - name: train_test_split_size
+        type: float
+        doc: Should be between 0.0 and 1.0 and represent the proportion of the dataset
+          to include in the test split.
+        default: null
+      - name: metrics
+        type: List[str]
+        doc: List of different metrics for evaluate the model such as f1, accuracy
+          etc.
+        default: null
+      - name: random_state
+        type: int
+        doc: Random state for train_test_split
+        default: null
+      outputs: []
+      lineno: 647
+      has_varargs: false
+      has_kwargs: false
+    preprocess_function:
+      name: preprocess_function
+      doc: ''
+      parameters:
+      - name: examples
+      outputs: []
+      lineno: 696
+      has_varargs: false
+      has_kwargs: false
+    optimize:
+      name: optimize
+      doc: Optimizing the transformer model using ONNX optimization.
+      parameters:
+      - name: model_path
+        type: str
+        doc: The path of the model to optimize.
+      - name: model_name
+        type: str
+        doc: Name of the optimized model.
+        default: optimized_model
+      - name: target_dir
+        type: str
+        doc: The directory to save the ONNX model.
+        default: ./optimized
+      - name: optimization_level
+        type: int
+        doc: Optimization level performed by ONNX Runtime of the loaded graph. (default
+          is 1)
+        default: 1
+      outputs: []
+      lineno: 799
+      has_varargs: false
+      has_kwargs: false
+  description: Automatic train and optimize functions for HuggingFace framework
+  default_handler: train
+  disable_auto_mount: false
+  clone_target_dir: ''
+  env: []
+  priority_class_name: ''
+  preemption_mode: prevent
+  affinity: null
+  tolerations: null
+  security_context: {}
+verbose: false
+
+        </code>
+    </pre>
+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/hugging_face_classifier_trainer/0.3.0/static/hugging_face_classifier_trainer.html b/functions/master/hugging_face_classifier_trainer/0.3.0/static/hugging_face_classifier_trainer.html
new file mode 100644
index 00000000..99a105cb
--- /dev/null
+++ b/functions/master/hugging_face_classifier_trainer/0.3.0/static/hugging_face_classifier_trainer.html
@@ -0,0 +1,972 @@
+
+<!DOCTYPE html>
+
+<html lang="en">
+<head>
+<meta charset="utf-8"/>
+<meta content="width=device-width, initial-scale=1.0" name="viewport"/>
+<title>hugging_face_classifier_trainer.hugging_face_classifier_trainer</title>
+<!-- Loaded before other Sphinx assets -->
+<link href="../../../_static/styles/theme.css?digest=1999514e3f237ded88cf" rel="stylesheet"/>
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+<link href="../../../_static/togglebutton.css" rel="stylesheet" type="text/css">
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+<script data-url_root="../../" id="documentation_options" src="../../../_static/documentation_options.js"></script>
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+<script src="../../../_static/underscore.js"></script>
+<script src="../../../_static/doctools.js"></script>
+<script>let toggleHintShow = 'Click to show';</script>
+<script>let toggleHintHide = 'Click to hide';</script>
+<script>let toggleOpenOnPrint = 'true';</script>
+<script src="../../../_static/togglebutton.js"></script>
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+<link href="../../genindex.html" rel="index" title="Index">
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+<meta content="width=device-width, initial-scale=1" name="viewport"/>
+<meta content="en" name="docsearch:language"/>
+<!-- Google Analytics -->
+</link></link></link></link></link></link></head>
+<body data-offset="60" data-spy="scroll" data-target="#bd-toc-nav">
+<!-- Checkboxes to toggle the left sidebar -->
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+</label>
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+<label class="overlay overlay-pagetoc" for="__page-toc">
+<div class="visually-hidden">Toggle in-page Table of Contents</div>
+</label>
+<!-- Headers at the top -->
+<div class="announcement header-item noprint"></div>
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+<div class="container-fluid" id="banner"></div>
+<div class="container-xl">
+<div class="row">
+<!-- Sidebar -->
+<div class="bd-sidebar noprint single-page" id="site-navigation">
+</div>
+<!-- A tiny helper pixel to detect if we've scrolled -->
+<div class="sbt-scroll-pixel-helper"></div>
+<!-- Main content -->
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+<div class="header-article row sticky-top noprint">
+<div class="col py-1 d-flex header-article-main">
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+</div>
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+</span>
+</button>
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+<button aria-label="Source repositories" class="headerbtn menu-dropdown__trigger">
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+</button>
+<div class="menu-dropdown__content">
+<ul>
+<li>
+<a class="headerbtn" data-placement="left" data-toggle="tooltip" href="https://github.com/mlrun/marketplace" title="Source repository">
+<span class="headerbtn__icon-container">
+<i class="fab fa-github"></i>
+</span>
+<span class="headerbtn__text-container">repository</span>
+</a>
+</li>
+<li>
+<a class="headerbtn" data-placement="left" data-toggle="tooltip" href="https://github.com/mlrun/marketplace/issues/new?title=Issue%20on%20page%20%2F_modules/hugging_face_classifier_trainer/hugging_face_classifier_trainer.html&amp;body=Your%20issue%20content%20here." title="Open an issue">
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+</span>
+<span class="headerbtn__text-container">open issue</span>
+</a>
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+</div>
+</div>
+</div>
+</div>
+<!-- Table of contents -->
+<div class="col-md-3 bd-toc show noprint">
+</div>
+</div>
+<div class="article row">
+<div class="col pl-md-3 pl-lg-5 content-container">
+<!-- Table of contents that is only displayed when printing the page -->
+<div class="onlyprint" id="jb-print-docs-body">
+<h1></h1>
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+</div>
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+<main id="main-content" role="main">
+<div>
+<h1>Source code for hugging_face_classifier_trainer.hugging_face_classifier_trainer</h1><div class="highlight"><pre>
+<span></span><span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">import</span> <span class="nn">shutil</span>
+<span class="kn">import</span> <span class="nn">tempfile</span>
+<span class="kn">import</span> <span class="nn">zipfile</span>
+<span class="kn">from</span> <span class="nn">abc</span> <span class="kn">import</span> <span class="n">ABC</span>
+<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Any</span><span class="p">,</span> <span class="n">Callable</span><span class="p">,</span> <span class="n">Dict</span><span class="p">,</span> <span class="n">List</span><span class="p">,</span> <span class="n">Optional</span><span class="p">,</span> <span class="n">Tuple</span><span class="p">,</span> <span class="n">Union</span>
+
+<span class="kn">import</span> <span class="nn">mlrun</span>
+<span class="kn">import</span> <span class="nn">mlrun.datastore</span>
+<span class="kn">import</span> <span class="nn">mlrun.utils</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="kn">import</span> <span class="nn">transformers</span>
+<span class="kn">from</span> <span class="nn">datasets</span> <span class="kn">import</span> <span class="n">Dataset</span><span class="p">,</span> <span class="n">load_dataset</span><span class="p">,</span> <span class="n">load_metric</span>
+<span class="kn">from</span> <span class="nn">mlrun</span> <span class="kn">import</span> <span class="n">MLClientCtx</span>
+<span class="kn">from</span> <span class="nn">mlrun</span> <span class="kn">import</span> <span class="n">feature_store</span> <span class="k">as</span> <span class="n">fs</span>
+<span class="kn">from</span> <span class="nn">mlrun.artifacts</span> <span class="kn">import</span> <span class="n">Artifact</span><span class="p">,</span> <span class="n">PlotlyArtifact</span>
+<span class="kn">from</span> <span class="nn">mlrun.datastore</span> <span class="kn">import</span> <span class="n">DataItem</span>
+<span class="kn">from</span> <span class="nn">mlrun.frameworks._common</span> <span class="kn">import</span> <span class="n">CommonTypes</span><span class="p">,</span> <span class="n">MLRunInterface</span>
+<span class="kn">from</span> <span class="nn">mlrun.utils</span> <span class="kn">import</span> <span class="n">create_class</span>
+<span class="kn">from</span> <span class="nn">plotly</span> <span class="kn">import</span> <span class="n">graph_objects</span> <span class="k">as</span> <span class="n">go</span>
+<span class="kn">from</span> <span class="nn">sklearn.model_selection</span> <span class="kn">import</span> <span class="n">train_test_split</span>
+<span class="kn">from</span> <span class="nn">transformers</span> <span class="kn">import</span> <span class="p">(</span>
+    <span class="n">AutoTokenizer</span><span class="p">,</span>
+    <span class="n">DataCollatorWithPadding</span><span class="p">,</span>
+    <span class="n">EvalPrediction</span><span class="p">,</span>
+    <span class="n">PreTrainedModel</span><span class="p">,</span>
+    <span class="n">PreTrainedTokenizer</span><span class="p">,</span>
+    <span class="n">Trainer</span><span class="p">,</span>
+    <span class="n">TrainerCallback</span><span class="p">,</span>
+    <span class="n">TrainerControl</span><span class="p">,</span>
+    <span class="n">TrainerState</span><span class="p">,</span>
+    <span class="n">TrainingArguments</span><span class="p">,</span>
+<span class="p">)</span>
+
+
+<span class="c1"># ----------------------from MLRUN--------------------------------</span>
+<div class="viewcode-block" id="HFORTOptimizerMLRunInterface"><a class="viewcode-back" href="documentation.html#hugging_face_classifier_trainer.hugging_face_classifier_trainer.HFORTOptimizerMLRunInterface">[docs]</a><span class="k">class</span> <span class="nc">HFORTOptimizerMLRunInterface</span><span class="p">(</span><span class="n">MLRunInterface</span><span class="p">,</span> <span class="n">ABC</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    Interface for adding MLRun features for tensorflow keras API.</span>
+<span class="sd">    """</span>
+
+    <span class="c1"># MLRun's context default name:</span>
+    <span class="n">DEFAULT_CONTEXT_NAME</span> <span class="o">=</span> <span class="s2">"mlrun-huggingface"</span>
+
+    <span class="c1"># Attributes to be inserted so the MLRun interface will be fully enabled.</span>
+    <span class="n">_PROPERTIES</span> <span class="o">=</span> <span class="p">{</span>
+        <span class="s2">"_auto_log"</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span>
+        <span class="s2">"_context"</span><span class="p">:</span> <span class="kc">None</span><span class="p">,</span>
+        <span class="s2">"_model_name"</span><span class="p">:</span> <span class="s2">"model"</span><span class="p">,</span>
+        <span class="s2">"_tag"</span><span class="p">:</span> <span class="s2">""</span><span class="p">,</span>
+        <span class="s2">"_labels"</span><span class="p">:</span> <span class="kc">None</span><span class="p">,</span>
+        <span class="s2">"_extra_data"</span><span class="p">:</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="p">}</span>
+    <span class="n">_METHODS</span> <span class="o">=</span> <span class="p">[</span><span class="s2">"enable_auto_logging"</span><span class="p">]</span>
+    <span class="c1"># Attributes to replace so the MLRun interface will be fully enabled.</span>
+    <span class="n">_REPLACED_METHODS</span> <span class="o">=</span> <span class="p">[</span>
+        <span class="s2">"optimize"</span><span class="p">,</span>
+    <span class="p">]</span>
+
+<div class="viewcode-block" id="HFORTOptimizerMLRunInterface.add_interface"><a class="viewcode-back" href="documentation.html#hugging_face_classifier_trainer.hugging_face_classifier_trainer.HFORTOptimizerMLRunInterface.add_interface">[docs]</a>    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">add_interface</span><span class="p">(</span>
+        <span class="bp">cls</span><span class="p">,</span>
+        <span class="n">obj</span><span class="p">,</span>
+        <span class="n">restoration</span><span class="p">:</span> <span class="n">CommonTypes</span><span class="o">.</span><span class="n">MLRunInterfaceRestorationType</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Enrich the object with this interface properties, methods and functions, so it will have this TensorFlow.Keras</span>
+<span class="sd">        MLRun's features.</span>
+<span class="sd">        :param obj:                     The object to enrich his interface.</span>
+<span class="sd">        :param restoration: Restoration information tuple as returned from 'remove_interface' in order to</span>
+<span class="sd">                                        add the interface in a certain state.</span>
+<span class="sd">        """</span>
+        <span class="nb">super</span><span class="p">(</span><span class="n">HFORTOptimizerMLRunInterface</span><span class="p">,</span> <span class="bp">cls</span><span class="p">)</span><span class="o">.</span><span class="n">add_interface</span><span class="p">(</span>
+            <span class="n">obj</span><span class="o">=</span><span class="n">obj</span><span class="p">,</span> <span class="n">restoration</span><span class="o">=</span><span class="n">restoration</span>
+        <span class="p">)</span></div>
+
+<div class="viewcode-block" id="HFORTOptimizerMLRunInterface.mlrun_optimize"><a class="viewcode-back" href="documentation.html#hugging_face_classifier_trainer.hugging_face_classifier_trainer.HFORTOptimizerMLRunInterface.mlrun_optimize">[docs]</a>    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">mlrun_optimize</span><span class="p">(</span><span class="bp">cls</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        MLRun's tf.keras.Model.fit wrapper. It will setup the optimizer when using horovod. The optimizer must be</span>
+<span class="sd">        passed in a keyword argument and when using horovod, it must be passed as an Optimizer instance, not a string.</span>
+
+<span class="sd">        raise MLRunInvalidArgumentError: In case the optimizer provided did not follow the instructions above.</span>
+<span class="sd">        """</span>
+
+        <span class="k">def</span> <span class="nf">wrapper</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+            <span class="n">save_dir</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">_get_function_argument</span><span class="p">(</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">optimize</span><span class="p">,</span>
+                <span class="n">argument_name</span><span class="o">=</span><span class="s2">"save_dir"</span><span class="p">,</span>
+                <span class="n">passed_args</span><span class="o">=</span><span class="n">args</span><span class="p">,</span>
+                <span class="n">passed_kwargs</span><span class="o">=</span><span class="n">kwargs</span><span class="p">,</span>
+            <span class="p">)[</span><span class="mi">0</span><span class="p">]</span>
+
+            <span class="c1"># Call the original optimize method:</span>
+            <span class="n">result</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">original_optimize</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+
+            <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_auto_log</span><span class="p">:</span>
+                <span class="c1"># Log the onnx model:</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">_context</span><span class="o">.</span><span class="n">log_model</span><span class="p">(</span>
+                    <span class="n">key</span><span class="o">=</span><span class="s2">"model"</span><span class="p">,</span>
+                    <span class="n">db_key</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_model_name</span><span class="p">,</span>
+                    <span class="n">model_file</span><span class="o">=</span><span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">save_dir</span><span class="si">}</span><span class="s2">/model_optimized.onnx"</span><span class="p">,</span>
+                    <span class="n">tag</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_tag</span><span class="p">,</span>
+                    <span class="n">framework</span><span class="o">=</span><span class="s2">"ONNX"</span><span class="p">,</span>
+                    <span class="n">labels</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_labels</span><span class="p">,</span>
+                    <span class="n">extra_data</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_extra_data</span><span class="p">,</span>
+                <span class="p">)</span>
+
+            <span class="k">return</span> <span class="n">result</span>
+
+        <span class="k">return</span> <span class="n">wrapper</span></div>
+
+<div class="viewcode-block" id="HFORTOptimizerMLRunInterface.enable_auto_logging"><a class="viewcode-back" href="documentation.html#hugging_face_classifier_trainer.hugging_face_classifier_trainer.HFORTOptimizerMLRunInterface.enable_auto_logging">[docs]</a>    <span class="k">def</span> <span class="nf">enable_auto_logging</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">context</span><span class="p">:</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">MLClientCtx</span><span class="p">,</span>
+        <span class="n">model_name</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">"model"</span><span class="p">,</span>
+        <span class="n">tag</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">""</span><span class="p">,</span>
+        <span class="n">labels</span><span class="p">:</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+        <span class="n">extra_data</span><span class="p">:</span> <span class="nb">dict</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="p">):</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_auto_log</span> <span class="o">=</span> <span class="kc">True</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">_context</span> <span class="o">=</span> <span class="n">context</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_model_name</span> <span class="o">=</span> <span class="n">model_name</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_tag</span> <span class="o">=</span> <span class="n">tag</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_labels</span> <span class="o">=</span> <span class="n">labels</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_extra_data</span> <span class="o">=</span> <span class="n">extra_data</span></div></div>
+
+
+<div class="viewcode-block" id="HFTrainerMLRunInterface"><a class="viewcode-back" href="documentation.html#hugging_face_classifier_trainer.hugging_face_classifier_trainer.HFTrainerMLRunInterface">[docs]</a><span class="k">class</span> <span class="nc">HFTrainerMLRunInterface</span><span class="p">(</span><span class="n">MLRunInterface</span><span class="p">,</span> <span class="n">ABC</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    Interface for adding MLRun features for tensorflow keras API.</span>
+<span class="sd">    """</span>
+
+    <span class="c1"># MLRuns context default name:</span>
+    <span class="n">DEFAULT_CONTEXT_NAME</span> <span class="o">=</span> <span class="s2">"mlrun-huggingface"</span>
+
+    <span class="c1"># Attributes to replace so the MLRun interface will be fully enabled.</span>
+    <span class="n">_REPLACED_METHODS</span> <span class="o">=</span> <span class="p">[</span>
+        <span class="s2">"train"</span><span class="p">,</span>
+        <span class="c1"># "evaluate"</span>
+    <span class="p">]</span>
+
+<div class="viewcode-block" id="HFTrainerMLRunInterface.add_interface"><a class="viewcode-back" href="documentation.html#hugging_face_classifier_trainer.hugging_face_classifier_trainer.HFTrainerMLRunInterface.add_interface">[docs]</a>    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">add_interface</span><span class="p">(</span>
+        <span class="bp">cls</span><span class="p">,</span>
+        <span class="n">obj</span><span class="p">:</span> <span class="n">Trainer</span><span class="p">,</span>
+        <span class="n">restoration</span><span class="p">:</span> <span class="n">CommonTypes</span><span class="o">.</span><span class="n">MLRunInterfaceRestorationType</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Enrich the object with this interface properties, methods and functions, so it will have this TensorFlow.Keras</span>
+<span class="sd">        MLRuns features.</span>
+<span class="sd">        :param obj:                     The object to enrich his interface.</span>
+<span class="sd">        :param restoration: Restoration information tuple as returned from 'remove_interface' in order to</span>
+<span class="sd">                                        add the interface in a certain state.</span>
+<span class="sd">        """</span>
+
+        <span class="nb">super</span><span class="p">(</span><span class="n">HFTrainerMLRunInterface</span><span class="p">,</span> <span class="bp">cls</span><span class="p">)</span><span class="o">.</span><span class="n">add_interface</span><span class="p">(</span>
+            <span class="n">obj</span><span class="o">=</span><span class="n">obj</span><span class="p">,</span> <span class="n">restoration</span><span class="o">=</span><span class="n">restoration</span>
+        <span class="p">)</span></div>
+
+<div class="viewcode-block" id="HFTrainerMLRunInterface.mlrun_train"><a class="viewcode-back" href="documentation.html#hugging_face_classifier_trainer.hugging_face_classifier_trainer.HFTrainerMLRunInterface.mlrun_train">[docs]</a>    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">mlrun_train</span><span class="p">(</span><span class="bp">cls</span><span class="p">):</span>
+
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        MLRuns tf.keras.Model.fit wrapper. It will setup the optimizer when using horovod. The optimizer must be</span>
+<span class="sd">        passed in a keyword argument and when using horovod, it must be passed as an Optimizer instance, not a string.</span>
+
+<span class="sd">        raise MLRunInvalidArgumentError: In case the optimizer provided did not follow the instructions above.</span>
+<span class="sd">        """</span>
+
+        <span class="k">def</span> <span class="nf">wrapper</span><span class="p">(</span><span class="bp">self</span><span class="p">:</span> <span class="n">Trainer</span><span class="p">,</span> <span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+            <span class="c1"># Restore the evaluation method as `train` will use it:</span>
+            <span class="c1"># cls._restore_attribute(obj=self, attribute_name="evaluate")</span>
+
+            <span class="c1"># Call the original fit method:</span>
+            <span class="n">result</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">original_train</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+
+            <span class="c1"># Replace the evaluation method again:</span>
+            <span class="c1"># cls._replace_function(obj=self, function_name="evaluate")</span>
+
+            <span class="k">return</span> <span class="n">result</span>
+
+        <span class="k">return</span> <span class="n">wrapper</span></div></div>
+
+
+<div class="viewcode-block" id="MLRunCallback"><a class="viewcode-back" href="documentation.html#hugging_face_classifier_trainer.hugging_face_classifier_trainer.MLRunCallback">[docs]</a><span class="k">class</span> <span class="nc">MLRunCallback</span><span class="p">(</span><span class="n">TrainerCallback</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    Callback for collecting logs during training / evaluation of the `Trainer` API.</span>
+<span class="sd">    """</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">context</span><span class="p">:</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">MLClientCtx</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+        <span class="n">model_name</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">"model"</span><span class="p">,</span>
+        <span class="n">tag</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">""</span><span class="p">,</span>
+        <span class="n">labels</span><span class="p">:</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+        <span class="n">extra_data</span><span class="p">:</span> <span class="nb">dict</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+
+        <span class="c1"># Store the configurations:</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_context</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="n">context</span>
+            <span class="k">if</span> <span class="n">context</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span>
+            <span class="k">else</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">get_or_create_ctx</span><span class="p">(</span><span class="s2">"./mlrun-huggingface"</span><span class="p">)</span>
+        <span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_model_name</span> <span class="o">=</span> <span class="n">model_name</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_tag</span> <span class="o">=</span> <span class="n">tag</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_labels</span> <span class="o">=</span> <span class="n">labels</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_extra_data</span> <span class="o">=</span> <span class="n">extra_data</span> <span class="k">if</span> <span class="n">extra_data</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="k">else</span> <span class="p">{}</span>
+
+        <span class="c1"># Set up the logging mode:</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_is_training</span> <span class="o">=</span> <span class="kc">False</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_steps</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]]</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_metric_scores</span><span class="p">:</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">List</span><span class="p">[</span><span class="nb">float</span><span class="p">]]</span> <span class="o">=</span> <span class="p">{}</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_artifacts</span><span class="p">:</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">Artifact</span><span class="p">]</span> <span class="o">=</span> <span class="p">{}</span>
+
+<div class="viewcode-block" id="MLRunCallback.on_epoch_begin"><a class="viewcode-back" href="documentation.html#hugging_face_classifier_trainer.hugging_face_classifier_trainer.MLRunCallback.on_epoch_begin">[docs]</a>    <span class="k">def</span> <span class="nf">on_epoch_begin</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">args</span><span class="p">:</span> <span class="n">TrainingArguments</span><span class="p">,</span>
+        <span class="n">state</span><span class="p">:</span> <span class="n">TrainerState</span><span class="p">,</span>
+        <span class="n">control</span><span class="p">:</span> <span class="n">TrainerControl</span><span class="p">,</span>
+        <span class="o">**</span><span class="n">kwargs</span><span class="p">,</span>
+    <span class="p">):</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_steps</span><span class="o">.</span><span class="n">append</span><span class="p">([])</span></div>
+
+<div class="viewcode-block" id="MLRunCallback.on_epoch_end"><a class="viewcode-back" href="documentation.html#hugging_face_classifier_trainer.hugging_face_classifier_trainer.MLRunCallback.on_epoch_end">[docs]</a>    <span class="k">def</span> <span class="nf">on_epoch_end</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">args</span><span class="p">:</span> <span class="n">TrainingArguments</span><span class="p">,</span>
+        <span class="n">state</span><span class="p">:</span> <span class="n">TrainerState</span><span class="p">,</span>
+        <span class="n">control</span><span class="p">:</span> <span class="n">TrainerControl</span><span class="p">,</span>
+        <span class="o">**</span><span class="n">kwargs</span><span class="p">,</span>
+    <span class="p">):</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_log_metrics</span><span class="p">()</span></div>
+
+<div class="viewcode-block" id="MLRunCallback.on_log"><a class="viewcode-back" href="documentation.html#hugging_face_classifier_trainer.hugging_face_classifier_trainer.MLRunCallback.on_log">[docs]</a>    <span class="k">def</span> <span class="nf">on_log</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">args</span><span class="p">:</span> <span class="n">TrainingArguments</span><span class="p">,</span>
+        <span class="n">state</span><span class="p">:</span> <span class="n">TrainerState</span><span class="p">,</span>
+        <span class="n">control</span><span class="p">:</span> <span class="n">TrainerControl</span><span class="p">,</span>
+        <span class="n">logs</span><span class="p">:</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">float</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+        <span class="o">**</span><span class="n">kwargs</span><span class="p">,</span>
+    <span class="p">):</span>
+        <span class="n">recent_logs</span> <span class="o">=</span> <span class="n">state</span><span class="o">.</span><span class="n">log_history</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
+
+        <span class="n">recent_logs</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s2">"epoch"</span><span class="p">)</span>
+        <span class="n">current_step</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">recent_logs</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s2">"step"</span><span class="p">))</span>
+        <span class="k">if</span> <span class="n">current_step</span> <span class="ow">not</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_steps</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_steps</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">current_step</span><span class="p">)</span>
+
+        <span class="k">for</span> <span class="n">metric_name</span><span class="p">,</span> <span class="n">metric_score</span> <span class="ow">in</span> <span class="n">recent_logs</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
+            <span class="k">if</span> <span class="n">metric_name</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"train_"</span><span class="p">):</span>
+                <span class="k">if</span> <span class="n">metric_name</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"train_"</span><span class="p">)[</span><span class="mi">1</span><span class="p">]</span> <span class="ow">not</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_metric_scores</span><span class="p">:</span>
+                    <span class="bp">self</span><span class="o">.</span><span class="n">_metric_scores</span><span class="p">[</span><span class="n">metric_name</span><span class="p">]</span> <span class="o">=</span> <span class="p">[</span><span class="n">metric_score</span><span class="p">]</span>
+                <span class="k">continue</span>
+            <span class="k">if</span> <span class="n">metric_name</span> <span class="ow">not</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_metric_scores</span><span class="p">:</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">_metric_scores</span><span class="p">[</span><span class="n">metric_name</span><span class="p">]</span> <span class="o">=</span> <span class="p">[]</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_metric_scores</span><span class="p">[</span><span class="n">metric_name</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">metric_score</span><span class="p">)</span></div>
+
+<div class="viewcode-block" id="MLRunCallback.on_train_begin"><a class="viewcode-back" href="documentation.html#hugging_face_classifier_trainer.hugging_face_classifier_trainer.MLRunCallback.on_train_begin">[docs]</a>    <span class="k">def</span> <span class="nf">on_train_begin</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">args</span><span class="p">:</span> <span class="n">TrainingArguments</span><span class="p">,</span>
+        <span class="n">state</span><span class="p">:</span> <span class="n">TrainerState</span><span class="p">,</span>
+        <span class="n">control</span><span class="p">:</span> <span class="n">TrainerControl</span><span class="p">,</span>
+        <span class="o">**</span><span class="n">kwargs</span><span class="p">,</span>
+    <span class="p">):</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_is_training</span> <span class="o">=</span> <span class="kc">True</span></div>
+
+<div class="viewcode-block" id="MLRunCallback.on_train_end"><a class="viewcode-back" href="documentation.html#hugging_face_classifier_trainer.hugging_face_classifier_trainer.MLRunCallback.on_train_end">[docs]</a>    <span class="k">def</span> <span class="nf">on_train_end</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">args</span><span class="p">:</span> <span class="n">TrainingArguments</span><span class="p">,</span>
+        <span class="n">state</span><span class="p">:</span> <span class="n">TrainerState</span><span class="p">,</span>
+        <span class="n">control</span><span class="p">:</span> <span class="n">TrainerControl</span><span class="p">,</span>
+        <span class="n">model</span><span class="p">:</span> <span class="n">PreTrainedModel</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+        <span class="n">tokenizer</span><span class="p">:</span> <span class="n">PreTrainedTokenizer</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+        <span class="o">**</span><span class="n">kwargs</span><span class="p">,</span>
+    <span class="p">):</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_log_metrics</span><span class="p">()</span>
+
+        <span class="n">temp_directory</span> <span class="o">=</span> <span class="n">tempfile</span><span class="o">.</span><span class="n">gettempdir</span><span class="p">()</span>
+
+        <span class="c1"># Save and log the tokenizer:</span>
+        <span class="k">if</span> <span class="n">tokenizer</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="c1"># Save tokenizer:</span>
+            <span class="n">tokenizer_dir</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">temp_directory</span><span class="p">,</span> <span class="s2">"tokenizer"</span><span class="p">)</span>
+            <span class="n">tokenizer</span><span class="o">.</span><span class="n">save_pretrained</span><span class="p">(</span><span class="n">save_directory</span><span class="o">=</span><span class="n">tokenizer_dir</span><span class="p">)</span>
+            <span class="c1"># Zip the tokenizer directory:</span>
+            <span class="n">tokenizer_zip</span> <span class="o">=</span> <span class="n">shutil</span><span class="o">.</span><span class="n">make_archive</span><span class="p">(</span>
+                <span class="n">base_name</span><span class="o">=</span><span class="s2">"tokenizer"</span><span class="p">,</span>
+                <span class="nb">format</span><span class="o">=</span><span class="s2">"zip"</span><span class="p">,</span>
+                <span class="n">root_dir</span><span class="o">=</span><span class="n">tokenizer_dir</span><span class="p">,</span>
+            <span class="p">)</span>
+            <span class="c1"># Log the zip file:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_artifacts</span><span class="p">[</span><span class="s2">"tokenizer"</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_context</span><span class="o">.</span><span class="n">log_artifact</span><span class="p">(</span>
+                <span class="n">item</span><span class="o">=</span><span class="s2">"tokenizer"</span><span class="p">,</span> <span class="n">local_path</span><span class="o">=</span><span class="n">tokenizer_zip</span>
+            <span class="p">)</span>
+
+        <span class="c1"># Save the model:</span>
+        <span class="n">model_dir</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">temp_directory</span><span class="p">,</span> <span class="s2">"model"</span><span class="p">)</span>
+        <span class="n">model</span><span class="o">.</span><span class="n">save_pretrained</span><span class="p">(</span><span class="n">save_directory</span><span class="o">=</span><span class="n">model_dir</span><span class="p">)</span>
+
+        <span class="c1"># Zip the model directory:</span>
+        <span class="n">shutil</span><span class="o">.</span><span class="n">make_archive</span><span class="p">(</span>
+            <span class="n">base_name</span><span class="o">=</span><span class="s2">"model"</span><span class="p">,</span>
+            <span class="nb">format</span><span class="o">=</span><span class="s2">"zip"</span><span class="p">,</span>
+            <span class="n">root_dir</span><span class="o">=</span><span class="n">model_dir</span><span class="p">,</span>
+        <span class="p">)</span>
+
+        <span class="c1"># Log the model:</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_context</span><span class="o">.</span><span class="n">log_model</span><span class="p">(</span>
+            <span class="n">key</span><span class="o">=</span><span class="s2">"model"</span><span class="p">,</span>
+            <span class="n">db_key</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_model_name</span><span class="p">,</span>
+            <span class="n">model_file</span><span class="o">=</span><span class="s2">"model.zip"</span><span class="p">,</span>
+            <span class="n">tag</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_tag</span><span class="p">,</span>
+            <span class="n">framework</span><span class="o">=</span><span class="s2">"Hugging Face"</span><span class="p">,</span>
+            <span class="n">labels</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_labels</span><span class="p">,</span>
+            <span class="n">extra_data</span><span class="o">=</span><span class="p">{</span><span class="o">**</span><span class="bp">self</span><span class="o">.</span><span class="n">_artifacts</span><span class="p">,</span> <span class="o">**</span><span class="bp">self</span><span class="o">.</span><span class="n">_extra_data</span><span class="p">},</span>
+        <span class="p">)</span></div>
+
+<div class="viewcode-block" id="MLRunCallback.on_evaluate"><a class="viewcode-back" href="documentation.html#hugging_face_classifier_trainer.hugging_face_classifier_trainer.MLRunCallback.on_evaluate">[docs]</a>    <span class="k">def</span> <span class="nf">on_evaluate</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">args</span><span class="p">:</span> <span class="n">TrainingArguments</span><span class="p">,</span>
+        <span class="n">state</span><span class="p">:</span> <span class="n">TrainerState</span><span class="p">,</span>
+        <span class="n">control</span><span class="p">:</span> <span class="n">TrainerControl</span><span class="p">,</span>
+        <span class="o">**</span><span class="n">kwargs</span><span class="p">,</span>
+    <span class="p">):</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_log_metrics</span><span class="p">()</span>
+
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_is_training</span><span class="p">:</span>
+            <span class="k">return</span></div>
+
+        <span class="c1"># TODO: Update the model object</span>
+
+    <span class="k">def</span> <span class="nf">_log_metrics</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="k">for</span> <span class="n">metric_name</span><span class="p">,</span> <span class="n">metric_scores</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_metric_scores</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_context</span><span class="o">.</span><span class="n">log_result</span><span class="p">(</span><span class="n">key</span><span class="o">=</span><span class="n">metric_name</span><span class="p">,</span> <span class="n">value</span><span class="o">=</span><span class="n">metric_scores</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">])</span>
+            <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">metric_scores</span><span class="p">)</span> <span class="o">&gt;</span> <span class="mi">1</span><span class="p">:</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">_log_metric_plot</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="n">metric_name</span><span class="p">,</span> <span class="n">scores</span><span class="o">=</span><span class="n">metric_scores</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_context</span><span class="o">.</span><span class="n">commit</span><span class="p">(</span><span class="n">completed</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
+
+    <span class="k">def</span> <span class="nf">_log_metric_plot</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">name</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">scores</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">float</span><span class="p">]):</span>
+        <span class="c1"># Initialize a plotly figure:</span>
+        <span class="n">metric_figure</span> <span class="o">=</span> <span class="n">go</span><span class="o">.</span><span class="n">Figure</span><span class="p">()</span>
+
+        <span class="c1"># Add titles:</span>
+        <span class="n">metric_figure</span><span class="o">.</span><span class="n">update_layout</span><span class="p">(</span>
+            <span class="n">title</span><span class="o">=</span><span class="n">name</span><span class="o">.</span><span class="n">capitalize</span><span class="p">()</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"_"</span><span class="p">,</span> <span class="s2">" "</span><span class="p">),</span>
+            <span class="n">xaxis_title</span><span class="o">=</span><span class="s2">"Samples"</span><span class="p">,</span>
+            <span class="n">yaxis_title</span><span class="o">=</span><span class="s2">"Scores"</span><span class="p">,</span>
+        <span class="p">)</span>
+
+        <span class="c1"># Draw:</span>
+        <span class="n">metric_figure</span><span class="o">.</span><span class="n">add_trace</span><span class="p">(</span>
+            <span class="n">go</span><span class="o">.</span><span class="n">Scatter</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">scores</span><span class="p">)),</span> <span class="n">y</span><span class="o">=</span><span class="n">scores</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s2">"lines"</span><span class="p">)</span>
+        <span class="p">)</span>
+
+        <span class="c1"># Create the plotly artifact:</span>
+        <span class="n">artifact_name</span> <span class="o">=</span> <span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">name</span><span class="si">}</span><span class="s2">_plot"</span>
+        <span class="n">artifact</span> <span class="o">=</span> <span class="n">PlotlyArtifact</span><span class="p">(</span><span class="n">key</span><span class="o">=</span><span class="n">artifact_name</span><span class="p">,</span> <span class="n">figure</span><span class="o">=</span><span class="n">metric_figure</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_artifacts</span><span class="p">[</span><span class="n">artifact_name</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_context</span><span class="o">.</span><span class="n">log_artifact</span><span class="p">(</span><span class="n">artifact</span><span class="p">)</span></div>
+
+
+<span class="k">def</span> <span class="nf">_apply_mlrun_on_trainer</span><span class="p">(</span>
+    <span class="n">trainer</span><span class="p">:</span> <span class="n">transformers</span><span class="o">.</span><span class="n">Trainer</span><span class="p">,</span>
+    <span class="n">model_name</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">tag</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">""</span><span class="p">,</span>
+    <span class="n">context</span><span class="p">:</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">MLClientCtx</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">auto_log</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
+    <span class="n">labels</span><span class="p">:</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">extra_data</span><span class="p">:</span> <span class="nb">dict</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="o">**</span><span class="n">kwargs</span><span class="p">,</span>
+<span class="p">):</span>
+    <span class="c1"># Get parameters defaults:</span>
+    <span class="k">if</span> <span class="n">context</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+        <span class="n">context</span> <span class="o">=</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">get_or_create_ctx</span><span class="p">(</span><span class="n">HFTrainerMLRunInterface</span><span class="o">.</span><span class="n">DEFAULT_CONTEXT_NAME</span><span class="p">)</span>
+
+    <span class="n">HFTrainerMLRunInterface</span><span class="o">.</span><span class="n">add_interface</span><span class="p">(</span><span class="n">obj</span><span class="o">=</span><span class="n">trainer</span><span class="p">)</span>
+
+    <span class="k">if</span> <span class="n">auto_log</span><span class="p">:</span>
+        <span class="n">trainer</span><span class="o">.</span><span class="n">add_callback</span><span class="p">(</span>
+            <span class="n">MLRunCallback</span><span class="p">(</span>
+                <span class="n">context</span><span class="o">=</span><span class="n">context</span><span class="p">,</span>
+                <span class="n">model_name</span><span class="o">=</span><span class="n">model_name</span><span class="p">,</span>
+                <span class="n">tag</span><span class="o">=</span><span class="n">tag</span><span class="p">,</span>
+                <span class="n">labels</span><span class="o">=</span><span class="n">labels</span><span class="p">,</span>
+                <span class="n">extra_data</span><span class="o">=</span><span class="n">extra_data</span><span class="p">,</span>
+            <span class="p">)</span>
+        <span class="p">)</span>
+
+
+<span class="k">def</span> <span class="nf">_apply_mlrun_on_optimizer</span><span class="p">(</span>
+    <span class="n">optimizer</span><span class="p">,</span>
+    <span class="n">model_name</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">tag</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">""</span><span class="p">,</span>
+    <span class="n">context</span><span class="p">:</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">MLClientCtx</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">auto_log</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
+    <span class="n">labels</span><span class="p">:</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">extra_data</span><span class="p">:</span> <span class="nb">dict</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="o">**</span><span class="n">kwargs</span><span class="p">,</span>
+<span class="p">):</span>
+    <span class="c1"># Get parameters defaults:</span>
+    <span class="k">if</span> <span class="n">context</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+        <span class="n">context</span> <span class="o">=</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">get_or_create_ctx</span><span class="p">(</span>
+            <span class="n">HFORTOptimizerMLRunInterface</span><span class="o">.</span><span class="n">DEFAULT_CONTEXT_NAME</span>
+        <span class="p">)</span>
+
+    <span class="n">HFORTOptimizerMLRunInterface</span><span class="o">.</span><span class="n">add_interface</span><span class="p">(</span><span class="n">obj</span><span class="o">=</span><span class="n">optimizer</span><span class="p">)</span>
+
+    <span class="k">if</span> <span class="n">auto_log</span><span class="p">:</span>
+        <span class="n">optimizer</span><span class="o">.</span><span class="n">enable_auto_logging</span><span class="p">(</span>
+            <span class="n">context</span><span class="o">=</span><span class="n">context</span><span class="p">,</span>
+            <span class="n">model_name</span><span class="o">=</span><span class="n">model_name</span><span class="p">,</span>
+            <span class="n">tag</span><span class="o">=</span><span class="n">tag</span><span class="p">,</span>
+            <span class="n">labels</span><span class="o">=</span><span class="n">labels</span><span class="p">,</span>
+            <span class="n">extra_data</span><span class="o">=</span><span class="n">extra_data</span><span class="p">,</span>
+        <span class="p">)</span>
+
+
+<div class="viewcode-block" id="apply_mlrun"><a class="viewcode-back" href="documentation.html#hugging_face_classifier_trainer.hugging_face_classifier_trainer.apply_mlrun">[docs]</a><span class="k">def</span> <span class="nf">apply_mlrun</span><span class="p">(</span>
+    <span class="n">huggingface_object</span><span class="p">,</span>
+    <span class="n">model_name</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">tag</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">""</span><span class="p">,</span>
+    <span class="n">context</span><span class="p">:</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">MLClientCtx</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">auto_log</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
+    <span class="n">labels</span><span class="p">:</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">extra_data</span><span class="p">:</span> <span class="nb">dict</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="o">**</span><span class="n">kwargs</span><span class="p">,</span>
+<span class="p">):</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    Wrap the given model with MLRun's interface providing it with mlrun's additional features.</span>
+<span class="sd">    :param huggingface_object: The model to wrap. Can be loaded from the model path given as well.</span>
+<span class="sd">    :param model_name:         The model name to use for storing the model artifact. Default: "model".</span>
+<span class="sd">    :param tag:                The model's tag to log with.</span>
+<span class="sd">    :param context:            MLRun context to work with. If no context is given it will be retrieved via</span>
+<span class="sd">                               'mlrun.get_or_create_ctx(None)'</span>
+<span class="sd">    :param auto_log:           Whether to enable MLRun's auto logging. Default: True.</span>
+<span class="sd">    """</span>
+
+    <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">huggingface_object</span><span class="p">,</span> <span class="n">transformers</span><span class="o">.</span><span class="n">Trainer</span><span class="p">):</span>
+        <span class="k">return</span> <span class="n">_apply_mlrun_on_trainer</span><span class="p">(</span>
+            <span class="n">trainer</span><span class="o">=</span><span class="n">huggingface_object</span><span class="p">,</span>
+            <span class="n">model_name</span><span class="o">=</span><span class="n">model_name</span><span class="p">,</span>
+            <span class="n">tag</span><span class="o">=</span><span class="n">tag</span><span class="p">,</span>
+            <span class="n">context</span><span class="o">=</span><span class="n">context</span><span class="p">,</span>
+            <span class="n">auto_log</span><span class="o">=</span><span class="n">auto_log</span><span class="p">,</span>
+            <span class="n">labels</span><span class="o">=</span><span class="n">labels</span><span class="p">,</span>
+            <span class="n">extra_data</span><span class="o">=</span><span class="n">extra_data</span><span class="p">,</span>
+        <span class="p">)</span>
+    <span class="kn">import</span> <span class="nn">optimum.onnxruntime</span> <span class="k">as</span> <span class="nn">optimum_ort</span>
+
+    <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">huggingface_object</span><span class="p">,</span> <span class="n">optimum_ort</span><span class="o">.</span><span class="n">ORTOptimizer</span><span class="p">):</span>
+        <span class="k">return</span> <span class="n">_apply_mlrun_on_optimizer</span><span class="p">(</span>
+            <span class="n">optimizer</span><span class="o">=</span><span class="n">huggingface_object</span><span class="p">,</span>
+            <span class="n">model_name</span><span class="o">=</span><span class="n">model_name</span><span class="p">,</span>
+            <span class="n">tag</span><span class="o">=</span><span class="n">tag</span><span class="p">,</span>
+            <span class="n">context</span><span class="o">=</span><span class="n">context</span><span class="p">,</span>
+            <span class="n">auto_log</span><span class="o">=</span><span class="n">auto_log</span><span class="p">,</span>
+            <span class="n">labels</span><span class="o">=</span><span class="n">labels</span><span class="p">,</span>
+            <span class="n">extra_data</span><span class="o">=</span><span class="n">extra_data</span><span class="p">,</span>
+        <span class="p">)</span>
+    <span class="k">raise</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">errors</span><span class="o">.</span><span class="n">MLRunInvalidArgumentError</span></div>
+
+
+<span class="c1"># ---------------------- from auto_trainer--------------------------------</span>
+<div class="viewcode-block" id="KWArgsPrefixes"><a class="viewcode-back" href="documentation.html#hugging_face_classifier_trainer.hugging_face_classifier_trainer.KWArgsPrefixes">[docs]</a><span class="k">class</span> <span class="nc">KWArgsPrefixes</span><span class="p">:</span>
+    <span class="n">MODEL_CLASS</span> <span class="o">=</span> <span class="s2">"CLASS_"</span>
+    <span class="n">FIT</span> <span class="o">=</span> <span class="s2">"FIT_"</span>
+    <span class="n">TRAIN</span> <span class="o">=</span> <span class="s2">"TRAIN_"</span>
+    <span class="n">PREDICT</span> <span class="o">=</span> <span class="s2">"PREDICT_"</span></div>
+
+
+<span class="k">def</span> <span class="nf">_get_sub_dict_by_prefix</span><span class="p">(</span><span class="n">src</span><span class="p">:</span> <span class="n">Dict</span><span class="p">,</span> <span class="n">prefix_key</span><span class="p">:</span> <span class="nb">str</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">Any</span><span class="p">]:</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    Collect all the keys from the given dict that starts with the given prefix and creates a new dictionary with these</span>
+<span class="sd">    keys.</span>
+
+<span class="sd">    :param src:         The source dict to extract the values from.</span>
+<span class="sd">    :param prefix_key:  Only keys with this prefix will be returned. The keys in the result dict will be without this</span>
+<span class="sd">                        prefix.</span>
+<span class="sd">    """</span>
+    <span class="k">return</span> <span class="p">{</span>
+        <span class="n">key</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="n">prefix_key</span><span class="p">,</span> <span class="s2">""</span><span class="p">):</span> <span class="n">val</span>
+        <span class="k">for</span> <span class="n">key</span><span class="p">,</span> <span class="n">val</span> <span class="ow">in</span> <span class="n">src</span><span class="o">.</span><span class="n">items</span><span class="p">()</span>
+        <span class="k">if</span> <span class="n">key</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="n">prefix_key</span><span class="p">)</span>
+    <span class="p">}</span>
+
+
+<span class="k">def</span> <span class="nf">_get_dataframe</span><span class="p">(</span>
+    <span class="n">context</span><span class="p">:</span> <span class="n">MLClientCtx</span><span class="p">,</span>
+    <span class="n">dataset</span><span class="p">:</span> <span class="n">DataItem</span><span class="p">,</span>
+    <span class="n">label_columns</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">]]]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">drop_columns</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">],</span> <span class="nb">int</span><span class="p">,</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">,</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">]]]]:</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    Getting the DataFrame of the dataset and drop the columns accordingly.</span>
+
+<span class="sd">    :param context:         MLRun context.</span>
+<span class="sd">    :param dataset:         The dataset to train the model on.</span>
+<span class="sd">                            Can be either a list of lists, dict, URI or a FeatureVector.</span>
+<span class="sd">    :param label_columns:   The target label(s) of the column(s) in the dataset. for Regression or</span>
+<span class="sd">                            Classification tasks.</span>
+<span class="sd">    :param drop_columns:    str/int or a list of strings/ints that represent the column names/indices to drop.</span>
+<span class="sd">    """</span>
+    <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">dataset</span><span class="p">,</span> <span class="p">(</span><span class="nb">list</span><span class="p">,</span> <span class="nb">dict</span><span class="p">)):</span>
+        <span class="n">dataset</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">dataset</span><span class="p">)</span>
+        <span class="c1"># Checking if drop_columns provided by integer type:</span>
+        <span class="k">if</span> <span class="n">drop_columns</span><span class="p">:</span>
+            <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">drop_columns</span><span class="p">,</span> <span class="nb">str</span><span class="p">)</span> <span class="ow">or</span> <span class="p">(</span>
+                <span class="nb">isinstance</span><span class="p">(</span><span class="n">drop_columns</span><span class="p">,</span> <span class="nb">list</span><span class="p">)</span>
+                <span class="ow">and</span> <span class="nb">any</span><span class="p">(</span><span class="nb">isinstance</span><span class="p">(</span><span class="n">col</span><span class="p">,</span> <span class="nb">str</span><span class="p">)</span> <span class="k">for</span> <span class="n">col</span> <span class="ow">in</span> <span class="n">drop_columns</span><span class="p">)</span>
+            <span class="p">):</span>
+                <span class="n">context</span><span class="o">.</span><span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span>
+                    <span class="s2">"drop_columns must be an integer/list of integers if not provided with a URI/FeatureVector dataset"</span>
+                <span class="p">)</span>
+                <span class="k">raise</span> <span class="ne">ValueError</span>
+            <span class="n">dataset</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="n">drop_columns</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+        <span class="k">return</span> <span class="n">dataset</span><span class="p">,</span> <span class="n">label_columns</span>
+
+    <span class="n">store_uri_prefix</span><span class="p">,</span> <span class="n">_</span> <span class="o">=</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">datastore</span><span class="o">.</span><span class="n">parse_store_uri</span><span class="p">(</span><span class="n">dataset</span><span class="o">.</span><span class="n">artifact_url</span><span class="p">)</span>
+    <span class="k">if</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">utils</span><span class="o">.</span><span class="n">StorePrefix</span><span class="o">.</span><span class="n">FeatureVector</span> <span class="o">==</span> <span class="n">store_uri_prefix</span><span class="p">:</span>
+        <span class="c1"># feature-vector case:</span>
+        <span class="n">label_columns</span> <span class="o">=</span> <span class="n">label_columns</span> <span class="ow">or</span> <span class="n">dataset</span><span class="o">.</span><span class="n">meta</span><span class="o">.</span><span class="n">status</span><span class="o">.</span><span class="n">label_column</span>
+        <span class="n">dataset</span> <span class="o">=</span> <span class="n">fs</span><span class="o">.</span><span class="n">get_offline_features</span><span class="p">(</span>
+            <span class="n">dataset</span><span class="o">.</span><span class="n">meta</span><span class="o">.</span><span class="n">uri</span><span class="p">,</span> <span class="n">drop_columns</span><span class="o">=</span><span class="n">drop_columns</span>
+        <span class="p">)</span><span class="o">.</span><span class="n">to_dataframe</span><span class="p">()</span>
+
+        <span class="n">context</span><span class="o">.</span><span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s2">"label columns: </span><span class="si">{</span><span class="n">label_columns</span><span class="si">}</span><span class="s2">"</span><span class="p">)</span>
+    <span class="k">else</span><span class="p">:</span>
+        <span class="c1"># simple URL case:</span>
+        <span class="n">dataset</span> <span class="o">=</span> <span class="n">dataset</span><span class="o">.</span><span class="n">as_df</span><span class="p">()</span>
+        <span class="k">if</span> <span class="n">drop_columns</span><span class="p">:</span>
+            <span class="k">if</span> <span class="nb">all</span><span class="p">(</span><span class="n">col</span> <span class="ow">in</span> <span class="n">dataset</span> <span class="k">for</span> <span class="n">col</span> <span class="ow">in</span> <span class="n">drop_columns</span><span class="p">):</span>
+                <span class="n">dataset</span> <span class="o">=</span> <span class="n">dataset</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="n">drop_columns</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
+            <span class="k">else</span><span class="p">:</span>
+                <span class="n">context</span><span class="o">.</span><span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                    <span class="s2">"not all of the columns to drop in the dataset, drop columns process skipped"</span>
+                <span class="p">)</span>
+    <span class="k">return</span> <span class="n">dataset</span><span class="p">,</span> <span class="n">label_columns</span>
+
+
+<span class="c1"># ---------------------- Hugging Face Trainer --------------------------------</span>
+
+
+<span class="k">def</span> <span class="nf">_create_compute_metrics</span><span class="p">(</span><span class="n">metrics</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Callable</span><span class="p">[[</span><span class="n">EvalPrediction</span><span class="p">],</span> <span class="n">Dict</span><span class="p">]:</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    This function create and returns a function that will be used to compute metrics at evaluation.</span>
+<span class="sd">    :param metrics: List of different metrics for evaluate the model such as f1, accuracy etc.</span>
+
+<span class="sd">    :returns: Function that will be used to compute metrics at evaluation.</span>
+<span class="sd">             Must take a [`EvalPrediction`] and return a dictionary string to metric values.</span>
+<span class="sd">    """</span>
+
+    <span class="k">def</span> <span class="nf">_compute_metrics</span><span class="p">(</span><span class="n">eval_pred</span><span class="p">):</span>
+        <span class="n">logits</span><span class="p">,</span> <span class="n">labels</span> <span class="o">=</span> <span class="n">eval_pred</span>
+        <span class="n">predictions</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">argmax</span><span class="p">(</span><span class="n">logits</span><span class="p">,</span> <span class="n">axis</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span>
+        <span class="n">metric_dict_results</span> <span class="o">=</span> <span class="p">{}</span>
+        <span class="k">for</span> <span class="n">metric</span> <span class="ow">in</span> <span class="n">metrics</span><span class="p">:</span>
+            <span class="n">load_met</span> <span class="o">=</span> <span class="n">load_metric</span><span class="p">(</span><span class="n">metric</span><span class="p">)</span>
+            <span class="n">metric_res</span> <span class="o">=</span> <span class="n">load_met</span><span class="o">.</span><span class="n">compute</span><span class="p">(</span><span class="n">predictions</span><span class="o">=</span><span class="n">predictions</span><span class="p">,</span> <span class="n">references</span><span class="o">=</span><span class="n">labels</span><span class="p">)[</span>
+                <span class="n">metric</span>
+            <span class="p">]</span>
+            <span class="n">metric_dict_results</span><span class="p">[</span><span class="n">metric</span><span class="p">]</span> <span class="o">=</span> <span class="n">metric_res</span>
+
+        <span class="k">return</span> <span class="n">metric_dict_results</span>
+
+    <span class="k">return</span> <span class="n">_compute_metrics</span>
+
+
+<span class="k">def</span> <span class="nf">_edit_columns</span><span class="p">(</span>
+    <span class="n">dataset</span><span class="p">:</span> <span class="n">Dataset</span><span class="p">,</span>
+    <span class="n">drop_columns</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">rename_columns</span><span class="p">:</span> <span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Dataset</span><span class="p">:</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    Drop and renames that columns of the given dataset</span>
+<span class="sd">    :param dataset:         Dataset to process</span>
+<span class="sd">    :param drop_columns:    The columns to drop from the dataset.</span>
+<span class="sd">    :param rename_columns:  Dict of columns ro rename : {&lt;old_name&gt;: &lt;new_name&gt;, ...}</span>
+
+<span class="sd">    :returns: The dataset after the desired process</span>
+<span class="sd">    """</span>
+    <span class="k">if</span> <span class="n">drop_columns</span><span class="p">:</span>
+        <span class="n">dataset</span> <span class="o">=</span> <span class="n">dataset</span><span class="o">.</span><span class="n">remove_columns</span><span class="p">(</span><span class="n">drop_columns</span><span class="p">)</span>
+    <span class="k">if</span> <span class="n">rename_columns</span><span class="p">:</span>
+        <span class="n">dataset</span> <span class="o">=</span> <span class="n">dataset</span><span class="o">.</span><span class="n">rename_columns</span><span class="p">(</span><span class="n">rename_columns</span><span class="p">)</span>
+    <span class="k">return</span> <span class="n">dataset</span>
+
+
+<span class="k">def</span> <span class="nf">_prepare_dataset</span><span class="p">(</span>
+    <span class="n">context</span><span class="p">:</span> <span class="n">MLClientCtx</span><span class="p">,</span>
+    <span class="n">dataset_name</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
+    <span class="n">label_name</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">drop_columns</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">]]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">num_of_train_samples</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">train_test_split_size</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">random_state</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Dataset</span><span class="p">,</span> <span class="n">Dataset</span><span class="p">]:</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    Loading the dataset and editing the columns</span>
+
+<span class="sd">    :param context:                 MLRun contex</span>
+<span class="sd">    :param dataset_name:            The name of the dataset to get from the HuggingFace hub</span>
+<span class="sd">    :param label_name:              The target label of the column in the dataset.</span>
+<span class="sd">    :param drop_columns:            The columns to drop from the dataset.</span>
+<span class="sd">    :param num_of_train_samples:    Max number of training samples, for debugging.</span>
+<span class="sd">    :param train_test_split_size:   Should be between 0.0 and 1.0 and represent the proportion of the dataset to include</span>
+<span class="sd">                                    in the test split.</span>
+<span class="sd">    :param random_state:            Random state for train_test_split</span>
+
+<span class="sd">    """</span>
+
+    <span class="n">context</span><span class="o">.</span><span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+        <span class="sa">f</span><span class="s2">"Loading and editing </span><span class="si">{</span><span class="n">dataset_name</span><span class="si">}</span><span class="s2"> dataset from Hugging Face hub"</span>
+    <span class="p">)</span>
+    <span class="n">rename_cols</span> <span class="o">=</span> <span class="p">{</span><span class="n">label_name</span><span class="p">:</span> <span class="s2">"labels"</span><span class="p">}</span>
+
+    <span class="c1"># Loading and editing dataset:</span>
+    <span class="n">dataset</span> <span class="o">=</span> <span class="n">load_dataset</span><span class="p">(</span><span class="n">dataset_name</span><span class="p">)</span>
+
+    <span class="c1"># train set</span>
+    <span class="n">train_dataset</span> <span class="o">=</span> <span class="n">dataset</span><span class="p">[</span><span class="s2">"train"</span><span class="p">]</span>
+    <span class="k">if</span> <span class="n">num_of_train_samples</span><span class="p">:</span>
+        <span class="n">train_dataset</span> <span class="o">=</span> <span class="n">train_dataset</span><span class="o">.</span><span class="n">shuffle</span><span class="p">(</span><span class="n">seed</span><span class="o">=</span><span class="n">random_state</span><span class="p">)</span><span class="o">.</span><span class="n">select</span><span class="p">(</span>
+            <span class="nb">list</span><span class="p">(</span><span class="nb">range</span><span class="p">(</span><span class="n">num_of_train_samples</span><span class="p">))</span>
+        <span class="p">)</span>
+    <span class="n">train_dataset</span> <span class="o">=</span> <span class="n">_edit_columns</span><span class="p">(</span><span class="n">train_dataset</span><span class="p">,</span> <span class="n">drop_columns</span><span class="p">,</span> <span class="n">rename_cols</span><span class="p">)</span>
+
+    <span class="c1"># test set</span>
+    <span class="n">test_dataset</span> <span class="o">=</span> <span class="n">dataset</span><span class="p">[</span><span class="s2">"test"</span><span class="p">]</span>
+    <span class="k">if</span> <span class="n">train_test_split_size</span> <span class="ow">or</span> <span class="n">num_of_train_samples</span><span class="p">:</span>
+        <span class="n">train_test_split_size</span> <span class="o">=</span> <span class="n">train_test_split_size</span> <span class="ow">or</span> <span class="mf">0.2</span>
+        <span class="n">num_of_test_samples</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span>
+            <span class="p">(</span><span class="n">train_dataset</span><span class="o">.</span><span class="n">num_rows</span> <span class="o">*</span> <span class="n">train_test_split_size</span><span class="p">)</span>
+            <span class="o">//</span> <span class="p">(</span><span class="mi">1</span> <span class="o">-</span> <span class="n">train_test_split_size</span><span class="p">)</span>
+        <span class="p">)</span>
+        <span class="n">test_dataset</span> <span class="o">=</span> <span class="n">test_dataset</span><span class="o">.</span><span class="n">shuffle</span><span class="p">(</span><span class="n">seed</span><span class="o">=</span><span class="n">random_state</span><span class="p">)</span><span class="o">.</span><span class="n">select</span><span class="p">(</span>
+            <span class="nb">list</span><span class="p">(</span><span class="nb">range</span><span class="p">(</span><span class="n">num_of_test_samples</span><span class="p">))</span>
+        <span class="p">)</span>
+    <span class="n">test_dataset</span> <span class="o">=</span> <span class="n">_edit_columns</span><span class="p">(</span><span class="n">test_dataset</span><span class="p">,</span> <span class="n">drop_columns</span><span class="p">,</span> <span class="n">rename_cols</span><span class="p">)</span>
+
+    <span class="k">return</span> <span class="n">train_dataset</span><span class="p">,</span> <span class="n">test_dataset</span>
+
+
+<div class="viewcode-block" id="train"><a class="viewcode-back" href="documentation.html#hugging_face_classifier_trainer.hugging_face_classifier_trainer.train">[docs]</a><span class="k">def</span> <span class="nf">train</span><span class="p">(</span>
+    <span class="n">context</span><span class="p">:</span> <span class="n">MLClientCtx</span><span class="p">,</span>
+    <span class="n">hf_dataset</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">dataset</span><span class="p">:</span> <span class="n">DataItem</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">test_set</span><span class="p">:</span> <span class="n">DataItem</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">drop_columns</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">]]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">pretrained_tokenizer</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">pretrained_model</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">model_class</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">model_name</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">"huggingface-model"</span><span class="p">,</span>
+    <span class="n">label_name</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">"labels"</span><span class="p">,</span>
+    <span class="n">text_col</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">"text"</span><span class="p">,</span>
+    <span class="n">num_of_train_samples</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">train_test_split_size</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">metrics</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">random_state</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+<span class="p">):</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    Training and evaluating a pretrained model with a pretrained tokenizer over a dataset.</span>
+<span class="sd">    The dataset can be either be the name of the dataset that contains in the HuggingFace hub,</span>
+<span class="sd">    or a URI or a FeatureVector</span>
+
+<span class="sd">    :param context:                 MLRun context</span>
+<span class="sd">    :param hf_dataset:              The name of the dataset to get from the HuggingFace hub</span>
+<span class="sd">    :param dataset:                 The dataset to train the model on. Can be either a URI or a FeatureVector</span>
+<span class="sd">    :param test_set:                The test set to train the model with.</span>
+<span class="sd">    :param drop_columns:            The columns to drop from the dataset.</span>
+<span class="sd">    :param pretrained_tokenizer:    The name of the pretrained tokenizer from the HuggingFace hub.</span>
+<span class="sd">    :param pretrained_model:        The name of the pretrained model from the HuggingFace hub.</span>
+<span class="sd">    :param model_name:              The model's name to use for storing the model artifact, default to 'model'</span>
+<span class="sd">    :param model_class:             The class of the model, e.g. `transformers.AutoModelForSequenceClassification`</span>
+<span class="sd">    :param label_name:              The target label of the column in the dataset.</span>
+<span class="sd">    :param text_col:                The input text column un the dataset.</span>
+<span class="sd">    :param num_of_train_samples:    Max number of training samples, for debugging.</span>
+<span class="sd">    :param train_test_split_size:   Should be between 0.0 and 1.0 and represent the proportion of the dataset to include</span>
+<span class="sd">                                    in the test split.</span>
+<span class="sd">    :param metrics:                 List of different metrics for evaluate the model such as f1, accuracy etc.</span>
+<span class="sd">    :param random_state:            Random state for train_test_split</span>
+<span class="sd">    """</span>
+
+    <span class="k">if</span> <span class="n">train_test_split_size</span> <span class="ow">is</span> <span class="kc">None</span> <span class="ow">and</span> <span class="n">test_set</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+        <span class="n">context</span><span class="o">.</span><span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+            <span class="s2">"'train_test_split_size' is not provided, setting train_test_split_size to 0.2"</span>
+        <span class="p">)</span>
+        <span class="n">train_test_split_size</span> <span class="o">=</span> <span class="mf">0.2</span>
+
+    <span class="c1"># Creating tokenizer:</span>
+    <span class="n">tokenizer</span> <span class="o">=</span> <span class="n">AutoTokenizer</span><span class="o">.</span><span class="n">from_pretrained</span><span class="p">(</span><span class="n">pretrained_tokenizer</span><span class="p">)</span>
+
+    <span class="k">def</span> <span class="nf">preprocess_function</span><span class="p">(</span><span class="n">examples</span><span class="p">):</span>
+        <span class="k">return</span> <span class="n">tokenizer</span><span class="p">(</span><span class="n">examples</span><span class="p">[</span><span class="n">text_col</span><span class="p">],</span> <span class="n">truncation</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+    <span class="c1"># prepare data for training</span>
+    <span class="k">if</span> <span class="n">hf_dataset</span><span class="p">:</span>
+        <span class="n">train_dataset</span><span class="p">,</span> <span class="n">test_dataset</span> <span class="o">=</span> <span class="n">_prepare_dataset</span><span class="p">(</span>
+            <span class="n">context</span><span class="p">,</span>
+            <span class="n">hf_dataset</span><span class="p">,</span>
+            <span class="n">label_name</span><span class="p">,</span>
+            <span class="n">drop_columns</span><span class="p">,</span>
+            <span class="n">num_of_train_samples</span><span class="p">,</span>
+            <span class="n">train_test_split_size</span><span class="p">,</span>
+            <span class="n">random_state</span><span class="o">=</span><span class="n">random_state</span><span class="p">,</span>
+        <span class="p">)</span>
+    <span class="k">elif</span> <span class="n">dataset</span><span class="p">:</span>
+        <span class="c1"># Get DataFrame by URL or by FeatureVector:</span>
+        <span class="n">train_dataset</span><span class="p">,</span> <span class="n">label_name</span> <span class="o">=</span> <span class="n">_get_dataframe</span><span class="p">(</span>
+            <span class="n">context</span><span class="o">=</span><span class="n">context</span><span class="p">,</span>
+            <span class="n">dataset</span><span class="o">=</span><span class="n">dataset</span><span class="p">,</span>
+            <span class="n">label_columns</span><span class="o">=</span><span class="n">label_name</span><span class="p">,</span>
+            <span class="n">drop_columns</span><span class="o">=</span><span class="n">drop_columns</span><span class="p">,</span>
+        <span class="p">)</span>
+        <span class="k">if</span> <span class="n">test_set</span><span class="p">:</span>
+            <span class="n">test_dataset</span><span class="p">,</span> <span class="n">_</span> <span class="o">=</span> <span class="n">_get_dataframe</span><span class="p">(</span>
+                <span class="n">context</span><span class="o">=</span><span class="n">context</span><span class="p">,</span>
+                <span class="n">dataset</span><span class="o">=</span><span class="n">test_set</span><span class="p">,</span>
+                <span class="n">label_columns</span><span class="o">=</span><span class="n">label_name</span><span class="p">,</span>
+                <span class="n">drop_columns</span><span class="o">=</span><span class="n">drop_columns</span><span class="p">,</span>
+            <span class="p">)</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">train_dataset</span><span class="p">,</span> <span class="n">test_dataset</span> <span class="o">=</span> <span class="n">train_test_split</span><span class="p">(</span>
+                <span class="n">train_dataset</span><span class="p">,</span>
+                <span class="n">test_size</span><span class="o">=</span><span class="n">train_test_split_size</span><span class="p">,</span>
+                <span class="n">random_state</span><span class="o">=</span><span class="n">random_state</span><span class="p">,</span>
+            <span class="p">)</span>
+        <span class="n">train_dataset</span> <span class="o">=</span> <span class="n">Dataset</span><span class="o">.</span><span class="n">from_pandas</span><span class="p">(</span><span class="n">train_dataset</span><span class="p">)</span>
+        <span class="n">test_dataset</span> <span class="o">=</span> <span class="n">Dataset</span><span class="o">.</span><span class="n">from_pandas</span><span class="p">(</span><span class="n">test_dataset</span><span class="p">)</span>
+    <span class="k">else</span><span class="p">:</span>
+        <span class="k">raise</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">errors</span><span class="o">.</span><span class="n">MLRunInvalidArgumentError</span><span class="p">(</span>
+            <span class="s2">"Training data was not provided. A training dataset is mandatory for training."</span>
+            <span class="s2">" Please provide a training set using one of the arguments 'hf_dataset' or 'dataset'."</span>
+        <span class="p">)</span>
+
+    <span class="c1"># Mapping datasets with the tokenizer:</span>
+    <span class="n">tokenized_train</span> <span class="o">=</span> <span class="n">train_dataset</span><span class="o">.</span><span class="n">map</span><span class="p">(</span><span class="n">preprocess_function</span><span class="p">,</span> <span class="n">batched</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+    <span class="n">tokenized_test</span> <span class="o">=</span> <span class="n">test_dataset</span><span class="o">.</span><span class="n">map</span><span class="p">(</span><span class="n">preprocess_function</span><span class="p">,</span> <span class="n">batched</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+    <span class="c1"># Creating data collator for batching:</span>
+    <span class="n">data_collator</span> <span class="o">=</span> <span class="n">DataCollatorWithPadding</span><span class="p">(</span><span class="n">tokenizer</span><span class="o">=</span><span class="n">tokenizer</span><span class="p">)</span>
+
+    <span class="c1"># Parsing kwargs:</span>
+    <span class="n">train_kwargs</span> <span class="o">=</span> <span class="n">_get_sub_dict_by_prefix</span><span class="p">(</span>
+        <span class="n">src</span><span class="o">=</span><span class="n">context</span><span class="o">.</span><span class="n">parameters</span><span class="p">,</span> <span class="n">prefix_key</span><span class="o">=</span><span class="n">KWArgsPrefixes</span><span class="o">.</span><span class="n">TRAIN</span>
+    <span class="p">)</span>
+    <span class="n">model_class_kwargs</span> <span class="o">=</span> <span class="n">_get_sub_dict_by_prefix</span><span class="p">(</span>
+        <span class="n">src</span><span class="o">=</span><span class="n">context</span><span class="o">.</span><span class="n">parameters</span><span class="p">,</span> <span class="n">prefix_key</span><span class="o">=</span><span class="n">KWArgsPrefixes</span><span class="o">.</span><span class="n">MODEL_CLASS</span>
+    <span class="p">)</span>
+
+    <span class="c1"># Loading our pretrained model:</span>
+    <span class="n">model_class_kwargs</span><span class="p">[</span><span class="s2">"pretrained_model_name_or_path"</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span>
+        <span class="n">model_class_kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"pretrained_model_name_or_path"</span><span class="p">)</span> <span class="ow">or</span> <span class="n">pretrained_model</span>
+    <span class="p">)</span>
+    <span class="n">train_kwargs</span><span class="p">[</span><span class="s2">"hub_token"</span><span class="p">]</span> <span class="o">=</span> <span class="n">train_kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"hub_token"</span><span class="p">)</span> <span class="ow">or</span> <span class="n">pretrained_tokenizer</span>
+    <span class="k">if</span> <span class="ow">not</span> <span class="n">model_class_kwargs</span><span class="p">[</span><span class="s2">"pretrained_model_name_or_path"</span><span class="p">]:</span>
+        <span class="k">raise</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">errors</span><span class="o">.</span><span class="n">MLRunRuntimeError</span><span class="p">(</span>
+            <span class="s2">"Must provide pretrained_model name as "</span>
+            <span class="s2">"function argument or in extra params"</span>
+        <span class="p">)</span>
+    <span class="n">model</span> <span class="o">=</span> <span class="n">create_class</span><span class="p">(</span><span class="n">model_class</span><span class="p">)</span><span class="o">.</span><span class="n">from_pretrained</span><span class="p">(</span><span class="o">**</span><span class="n">model_class_kwargs</span><span class="p">)</span>
+
+    <span class="c1"># Preparing training arguments:</span>
+    <span class="n">training_args</span> <span class="o">=</span> <span class="n">TrainingArguments</span><span class="p">(</span>
+        <span class="o">**</span><span class="n">train_kwargs</span><span class="p">,</span>
+    <span class="p">)</span>
+
+    <span class="n">compute_metrics</span> <span class="o">=</span> <span class="n">_create_compute_metrics</span><span class="p">(</span><span class="n">metrics</span><span class="p">)</span> <span class="k">if</span> <span class="n">metrics</span> <span class="k">else</span> <span class="kc">None</span>
+    <span class="n">trainer</span> <span class="o">=</span> <span class="n">Trainer</span><span class="p">(</span>
+        <span class="n">model</span><span class="o">=</span><span class="n">model</span><span class="p">,</span>
+        <span class="n">args</span><span class="o">=</span><span class="n">training_args</span><span class="p">,</span>
+        <span class="n">train_dataset</span><span class="o">=</span><span class="n">tokenized_train</span><span class="p">,</span>
+        <span class="n">eval_dataset</span><span class="o">=</span><span class="n">tokenized_test</span><span class="p">,</span>
+        <span class="n">tokenizer</span><span class="o">=</span><span class="n">tokenizer</span><span class="p">,</span>
+        <span class="n">data_collator</span><span class="o">=</span><span class="n">data_collator</span><span class="p">,</span>
+        <span class="n">compute_metrics</span><span class="o">=</span><span class="n">compute_metrics</span><span class="p">,</span>
+    <span class="p">)</span>
+
+    <span class="n">apply_mlrun</span><span class="p">(</span><span class="n">trainer</span><span class="p">,</span> <span class="n">model_name</span><span class="o">=</span><span class="n">model_name</span><span class="p">)</span>
+
+    <span class="c1"># Apply training with evaluation:</span>
+    <span class="n">context</span><span class="o">.</span><span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s2">"training '</span><span class="si">{</span><span class="n">model_name</span><span class="si">}</span><span class="s2">'"</span><span class="p">)</span>
+    <span class="n">trainer</span><span class="o">.</span><span class="n">train</span><span class="p">()</span></div>
+
+
+<span class="k">def</span> <span class="nf">_get_model_dir</span><span class="p">(</span><span class="n">model_uri</span><span class="p">:</span> <span class="nb">str</span><span class="p">):</span>
+    <span class="n">model_file</span><span class="p">,</span> <span class="n">_</span><span class="p">,</span> <span class="n">_</span> <span class="o">=</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">artifacts</span><span class="o">.</span><span class="n">get_model</span><span class="p">(</span><span class="n">model_uri</span><span class="p">)</span>
+    <span class="n">model_dir</span> <span class="o">=</span> <span class="n">tempfile</span><span class="o">.</span><span class="n">gettempdir</span><span class="p">()</span>
+    <span class="c1"># Unzip the Model:</span>
+    <span class="k">with</span> <span class="n">zipfile</span><span class="o">.</span><span class="n">ZipFile</span><span class="p">(</span><span class="n">model_file</span><span class="p">,</span> <span class="s2">"r"</span><span class="p">)</span> <span class="k">as</span> <span class="n">zip_file</span><span class="p">:</span>
+        <span class="n">zip_file</span><span class="o">.</span><span class="n">extractall</span><span class="p">(</span><span class="n">model_dir</span><span class="p">)</span>
+
+    <span class="k">return</span> <span class="n">model_dir</span>
+
+
+<div class="viewcode-block" id="optimize"><a class="viewcode-back" href="documentation.html#hugging_face_classifier_trainer.hugging_face_classifier_trainer.optimize">[docs]</a><span class="k">def</span> <span class="nf">optimize</span><span class="p">(</span>
+    <span class="n">model_path</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
+    <span class="n">model_name</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">"optimized_model"</span><span class="p">,</span>
+    <span class="n">target_dir</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">"./optimized"</span><span class="p">,</span>
+    <span class="n">optimization_level</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1</span><span class="p">,</span>
+<span class="p">):</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    Optimizing the transformer model using ONNX optimization.</span>
+
+
+<span class="sd">    :param model_path:          The path of the model to optimize.</span>
+<span class="sd">    :param model_name:          Name of the optimized model.</span>
+<span class="sd">    :param target_dir:          The directory to save the ONNX model.</span>
+<span class="sd">    :param optimization_level:  Optimization level performed by ONNX Runtime of the loaded graph. (default is 1)</span>
+<span class="sd">    """</span>
+    <span class="c1"># We import these in the function scope so ONNX won't be mandatory for the other handlers:</span>
+    <span class="kn">from</span> <span class="nn">optimum.onnxruntime</span> <span class="kn">import</span> <span class="n">ORTModelForSequenceClassification</span><span class="p">,</span> <span class="n">ORTOptimizer</span>
+    <span class="kn">from</span> <span class="nn">optimum.onnxruntime.configuration</span> <span class="kn">import</span> <span class="n">OptimizationConfig</span>
+
+    <span class="n">model_dir</span> <span class="o">=</span> <span class="n">_get_model_dir</span><span class="p">(</span><span class="n">model_uri</span><span class="o">=</span><span class="n">model_path</span><span class="p">)</span>
+    <span class="c1"># Creating configuration for optimization step:</span>
+    <span class="n">optimization_config</span> <span class="o">=</span> <span class="n">OptimizationConfig</span><span class="p">(</span><span class="n">optimization_level</span><span class="o">=</span><span class="n">optimization_level</span><span class="p">)</span>
+
+    <span class="c1"># Converting our pretrained model to an ONNX-Runtime model:</span>
+    <span class="n">ort_model</span> <span class="o">=</span> <span class="n">ORTModelForSequenceClassification</span><span class="o">.</span><span class="n">from_pretrained</span><span class="p">(</span>
+        <span class="n">model_dir</span><span class="p">,</span> <span class="n">from_transformers</span><span class="o">=</span><span class="kc">True</span>
+    <span class="p">)</span>
+
+    <span class="c1"># Creating an ONNX-Runtime optimizer from ONNX model:</span>
+    <span class="n">optimizer</span> <span class="o">=</span> <span class="n">ORTOptimizer</span><span class="o">.</span><span class="n">from_pretrained</span><span class="p">(</span><span class="n">ort_model</span><span class="p">)</span>
+
+    <span class="n">apply_mlrun</span><span class="p">(</span><span class="n">optimizer</span><span class="p">,</span> <span class="n">model_name</span><span class="o">=</span><span class="n">model_name</span><span class="p">)</span>
+    <span class="c1"># Optimizing and saving the ONNX model:</span>
+    <span class="n">optimizer</span><span class="o">.</span><span class="n">optimize</span><span class="p">(</span><span class="n">save_dir</span><span class="o">=</span><span class="n">target_dir</span><span class="p">,</span> <span class="n">optimization_config</span><span class="o">=</span><span class="n">optimization_config</span><span class="p">)</span></div>
+</pre></div>
+</div>
+</main>
+<footer class="footer-article noprint">
+<!-- Previous / next buttons -->
+<div class="prev-next-area">
+</div>
+</footer>
+</div>
+</div>
+<div class="footer-content row">
+<footer class="col footer"><p>
+  
+      © Copyright .<br/>
+</p>
+</footer>
+</div>
+</div>
+</div>
+</div>
+<!-- Scripts loaded after <body> so the DOM is not blocked -->
+<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf"></script>
+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/hugging_face_classifier_trainer/0.3.0/static/item.html b/functions/master/hugging_face_classifier_trainer/0.3.0/static/item.html
new file mode 100644
index 00000000..70a200c7
--- /dev/null
+++ b/functions/master/hugging_face_classifier_trainer/0.3.0/static/item.html
@@ -0,0 +1,55 @@
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta content="IE=edge" http-equiv="X-UA-Compatible">
+    <meta content="width=device-width, initial-scale=1.0" name="viewport">
+    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/styles/atom-one-dark.min.css">
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/highlight.min.js"></script>
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/languages/yaml.min.js"></script>
+    <title>Source</title>
+    <script>hljs.highlightAll();</script>
+</head>
+
+<body style="background-color:darkgray; margin: 0 0 0 0;">
+    <pre style="margin: 0 1em;">
+        <code class="yaml">
+apiVersion: v1
+categories:
+- deep-learning
+- huggingface
+- machine-learning
+- model-training
+description: Automatic train and optimize functions for HuggingFace framework
+doc: ''
+example: hugging_face_classifier_trainer.ipynb
+generationDate: 2022-08-28:17-25
+hidden: false
+icon: ''
+labels:
+  author: davids
+maintainers: []
+marketplaceType: ''
+mlrunVersion: 1.6.1
+name: hugging_face_classifier_trainer
+platformVersion: 3.5.5
+spec:
+  filename: hugging_face_classifier_trainer.py
+  handler: train
+  image: mlrun/mlrun
+  kind: job
+  requirements:
+  - onnx~=1.14.1
+  - onnxruntime~=1.16.1
+  - optimum~=1.6.4
+  - transformers~=4.26.1
+  - datasets~=2.10.1
+  - scikit-learn~=1.0.2
+url: ''
+version: 0.3.0
+
+        </code>
+    </pre>
+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/hugging_face_classifier_trainer/0.3.0/static/source.html b/functions/master/hugging_face_classifier_trainer/0.3.0/static/source.html
new file mode 100644
index 00000000..6eee51f5
--- /dev/null
+++ b/functions/master/hugging_face_classifier_trainer/0.3.0/static/source.html
@@ -0,0 +1,854 @@
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta content="IE=edge" http-equiv="X-UA-Compatible">
+    <meta content="width=device-width, initial-scale=1.0" name="viewport">
+    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/styles/atom-one-dark.min.css">
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/highlight.min.js"></script>
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/languages/python.min.js"></script>
+    <title>Source</title>
+    <script>hljs.highlightAll();</script>
+</head>
+
+<body style="background-color:darkgray; margin: 0 0 0 0;">
+    <pre style="margin: 0 1em;">
+        <code class="python">
+import os
+import shutil
+import tempfile
+import zipfile
+from abc import ABC
+from typing import Any, Callable, Dict, List, Optional, Tuple, Union
+
+import mlrun
+import mlrun.datastore
+import mlrun.utils
+import numpy as np
+import pandas as pd
+import transformers
+from datasets import Dataset, load_dataset, load_metric
+from mlrun import MLClientCtx
+from mlrun import feature_store as fs
+from mlrun.artifacts import Artifact, PlotlyArtifact
+from mlrun.datastore import DataItem
+from mlrun.frameworks._common import CommonTypes, MLRunInterface
+from mlrun.utils import create_class
+from plotly import graph_objects as go
+from sklearn.model_selection import train_test_split
+from transformers import (
+    AutoTokenizer,
+    DataCollatorWithPadding,
+    EvalPrediction,
+    PreTrainedModel,
+    PreTrainedTokenizer,
+    Trainer,
+    TrainerCallback,
+    TrainerControl,
+    TrainerState,
+    TrainingArguments,
+)
+
+
+# ----------------------from MLRUN--------------------------------
+class HFORTOptimizerMLRunInterface(MLRunInterface, ABC):
+    """
+    Interface for adding MLRun features for tensorflow keras API.
+    """
+
+    # MLRun's context default name:
+    DEFAULT_CONTEXT_NAME = "mlrun-huggingface"
+
+    # Attributes to be inserted so the MLRun interface will be fully enabled.
+    _PROPERTIES = {
+        "_auto_log": False,
+        "_context": None,
+        "_model_name": "model",
+        "_tag": "",
+        "_labels": None,
+        "_extra_data": None,
+    }
+    _METHODS = ["enable_auto_logging"]
+    # Attributes to replace so the MLRun interface will be fully enabled.
+    _REPLACED_METHODS = [
+        "optimize",
+    ]
+
+    @classmethod
+    def add_interface(
+        cls,
+        obj,
+        restoration: CommonTypes.MLRunInterfaceRestorationType = None,
+    ):
+        """
+        Enrich the object with this interface properties, methods and functions, so it will have this TensorFlow.Keras
+        MLRun's features.
+        :param obj:                     The object to enrich his interface.
+        :param restoration: Restoration information tuple as returned from 'remove_interface' in order to
+                                        add the interface in a certain state.
+        """
+        super(HFORTOptimizerMLRunInterface, cls).add_interface(
+            obj=obj, restoration=restoration
+        )
+
+    @classmethod
+    def mlrun_optimize(cls):
+        """
+        MLRun's tf.keras.Model.fit wrapper. It will setup the optimizer when using horovod. The optimizer must be
+        passed in a keyword argument and when using horovod, it must be passed as an Optimizer instance, not a string.
+
+        raise MLRunInvalidArgumentError: In case the optimizer provided did not follow the instructions above.
+        """
+
+        def wrapper(self, *args, **kwargs):
+            save_dir = cls._get_function_argument(
+                self.optimize,
+                argument_name="save_dir",
+                passed_args=args,
+                passed_kwargs=kwargs,
+            )[0]
+
+            # Call the original optimize method:
+            result = self.original_optimize(*args, **kwargs)
+
+            if self._auto_log:
+                # Log the onnx model:
+                self._context.log_model(
+                    key="model",
+                    db_key=self._model_name,
+                    model_file=f"{save_dir}/model_optimized.onnx",
+                    tag=self._tag,
+                    framework="ONNX",
+                    labels=self._labels,
+                    extra_data=self._extra_data,
+                )
+
+            return result
+
+        return wrapper
+
+    def enable_auto_logging(
+        self,
+        context: mlrun.MLClientCtx,
+        model_name: str = "model",
+        tag: str = "",
+        labels: Dict[str, str] = None,
+        extra_data: dict = None,
+    ):
+        self._auto_log = True
+
+        self._context = context
+        self._model_name = model_name
+        self._tag = tag
+        self._labels = labels
+        self._extra_data = extra_data
+
+
+class HFTrainerMLRunInterface(MLRunInterface, ABC):
+    """
+    Interface for adding MLRun features for tensorflow keras API.
+    """
+
+    # MLRuns context default name:
+    DEFAULT_CONTEXT_NAME = "mlrun-huggingface"
+
+    # Attributes to replace so the MLRun interface will be fully enabled.
+    _REPLACED_METHODS = [
+        "train",
+        # "evaluate"
+    ]
+
+    @classmethod
+    def add_interface(
+        cls,
+        obj: Trainer,
+        restoration: CommonTypes.MLRunInterfaceRestorationType = None,
+    ):
+        """
+        Enrich the object with this interface properties, methods and functions, so it will have this TensorFlow.Keras
+        MLRuns features.
+        :param obj:                     The object to enrich his interface.
+        :param restoration: Restoration information tuple as returned from 'remove_interface' in order to
+                                        add the interface in a certain state.
+        """
+
+        super(HFTrainerMLRunInterface, cls).add_interface(
+            obj=obj, restoration=restoration
+        )
+
+    @classmethod
+    def mlrun_train(cls):
+
+        """
+        MLRuns tf.keras.Model.fit wrapper. It will setup the optimizer when using horovod. The optimizer must be
+        passed in a keyword argument and when using horovod, it must be passed as an Optimizer instance, not a string.
+
+        raise MLRunInvalidArgumentError: In case the optimizer provided did not follow the instructions above.
+        """
+
+        def wrapper(self: Trainer, *args, **kwargs):
+            # Restore the evaluation method as `train` will use it:
+            # cls._restore_attribute(obj=self, attribute_name="evaluate")
+
+            # Call the original fit method:
+            result = self.original_train(*args, **kwargs)
+
+            # Replace the evaluation method again:
+            # cls._replace_function(obj=self, function_name="evaluate")
+
+            return result
+
+        return wrapper
+
+
+class MLRunCallback(TrainerCallback):
+    """
+    Callback for collecting logs during training / evaluation of the `Trainer` API.
+    """
+
+    def __init__(
+        self,
+        context: mlrun.MLClientCtx = None,
+        model_name: str = "model",
+        tag: str = "",
+        labels: Dict[str, str] = None,
+        extra_data: dict = None,
+    ):
+        super().__init__()
+
+        # Store the configurations:
+        self._context = (
+            context
+            if context is not None
+            else mlrun.get_or_create_ctx("./mlrun-huggingface")
+        )
+        self._model_name = model_name
+        self._tag = tag
+        self._labels = labels
+        self._extra_data = extra_data if extra_data is not None else {}
+
+        # Set up the logging mode:
+        self._is_training = False
+        self._steps: List[List[int]] = []
+        self._metric_scores: Dict[str, List[float]] = {}
+        self._artifacts: Dict[str, Artifact] = {}
+
+    def on_epoch_begin(
+        self,
+        args: TrainingArguments,
+        state: TrainerState,
+        control: TrainerControl,
+        **kwargs,
+    ):
+        self._steps.append([])
+
+    def on_epoch_end(
+        self,
+        args: TrainingArguments,
+        state: TrainerState,
+        control: TrainerControl,
+        **kwargs,
+    ):
+        self._log_metrics()
+
+    def on_log(
+        self,
+        args: TrainingArguments,
+        state: TrainerState,
+        control: TrainerControl,
+        logs: Dict[str, float] = None,
+        **kwargs,
+    ):
+        recent_logs = state.log_history[-1].copy()
+
+        recent_logs.pop("epoch")
+        current_step = int(recent_logs.pop("step"))
+        if current_step not in self._steps[-1]:
+            self._steps[-1].append(current_step)
+
+        for metric_name, metric_score in recent_logs.items():
+            if metric_name.startswith("train_"):
+                if metric_name.split("train_")[1] not in self._metric_scores:
+                    self._metric_scores[metric_name] = [metric_score]
+                continue
+            if metric_name not in self._metric_scores:
+                self._metric_scores[metric_name] = []
+            self._metric_scores[metric_name].append(metric_score)
+
+    def on_train_begin(
+        self,
+        args: TrainingArguments,
+        state: TrainerState,
+        control: TrainerControl,
+        **kwargs,
+    ):
+        self._is_training = True
+
+    def on_train_end(
+        self,
+        args: TrainingArguments,
+        state: TrainerState,
+        control: TrainerControl,
+        model: PreTrainedModel = None,
+        tokenizer: PreTrainedTokenizer = None,
+        **kwargs,
+    ):
+        self._log_metrics()
+
+        temp_directory = tempfile.gettempdir()
+
+        # Save and log the tokenizer:
+        if tokenizer is not None:
+            # Save tokenizer:
+            tokenizer_dir = os.path.join(temp_directory, "tokenizer")
+            tokenizer.save_pretrained(save_directory=tokenizer_dir)
+            # Zip the tokenizer directory:
+            tokenizer_zip = shutil.make_archive(
+                base_name="tokenizer",
+                format="zip",
+                root_dir=tokenizer_dir,
+            )
+            # Log the zip file:
+            self._artifacts["tokenizer"] = self._context.log_artifact(
+                item="tokenizer", local_path=tokenizer_zip
+            )
+
+        # Save the model:
+        model_dir = os.path.join(temp_directory, "model")
+        model.save_pretrained(save_directory=model_dir)
+
+        # Zip the model directory:
+        shutil.make_archive(
+            base_name="model",
+            format="zip",
+            root_dir=model_dir,
+        )
+
+        # Log the model:
+        self._context.log_model(
+            key="model",
+            db_key=self._model_name,
+            model_file="model.zip",
+            tag=self._tag,
+            framework="Hugging Face",
+            labels=self._labels,
+            extra_data={**self._artifacts, **self._extra_data},
+        )
+
+    def on_evaluate(
+        self,
+        args: TrainingArguments,
+        state: TrainerState,
+        control: TrainerControl,
+        **kwargs,
+    ):
+        self._log_metrics()
+
+        if self._is_training:
+            return
+
+        # TODO: Update the model object
+
+    def _log_metrics(self):
+        for metric_name, metric_scores in self._metric_scores.items():
+            self._context.log_result(key=metric_name, value=metric_scores[-1])
+            if len(metric_scores) > 1:
+                self._log_metric_plot(name=metric_name, scores=metric_scores)
+        self._context.commit(completed=False)
+
+    def _log_metric_plot(self, name: str, scores: List[float]):
+        # Initialize a plotly figure:
+        metric_figure = go.Figure()
+
+        # Add titles:
+        metric_figure.update_layout(
+            title=name.capitalize().replace("_", " "),
+            xaxis_title="Samples",
+            yaxis_title="Scores",
+        )
+
+        # Draw:
+        metric_figure.add_trace(
+            go.Scatter(x=np.arange(len(scores)), y=scores, mode="lines")
+        )
+
+        # Create the plotly artifact:
+        artifact_name = f"{name}_plot"
+        artifact = PlotlyArtifact(key=artifact_name, figure=metric_figure)
+        self._artifacts[artifact_name] = self._context.log_artifact(artifact)
+
+
+def _apply_mlrun_on_trainer(
+    trainer: transformers.Trainer,
+    model_name: str = None,
+    tag: str = "",
+    context: mlrun.MLClientCtx = None,
+    auto_log: bool = True,
+    labels: Dict[str, str] = None,
+    extra_data: dict = None,
+    **kwargs,
+):
+    # Get parameters defaults:
+    if context is None:
+        context = mlrun.get_or_create_ctx(HFTrainerMLRunInterface.DEFAULT_CONTEXT_NAME)
+
+    HFTrainerMLRunInterface.add_interface(obj=trainer)
+
+    if auto_log:
+        trainer.add_callback(
+            MLRunCallback(
+                context=context,
+                model_name=model_name,
+                tag=tag,
+                labels=labels,
+                extra_data=extra_data,
+            )
+        )
+
+
+def _apply_mlrun_on_optimizer(
+    optimizer,
+    model_name: str = None,
+    tag: str = "",
+    context: mlrun.MLClientCtx = None,
+    auto_log: bool = True,
+    labels: Dict[str, str] = None,
+    extra_data: dict = None,
+    **kwargs,
+):
+    # Get parameters defaults:
+    if context is None:
+        context = mlrun.get_or_create_ctx(
+            HFORTOptimizerMLRunInterface.DEFAULT_CONTEXT_NAME
+        )
+
+    HFORTOptimizerMLRunInterface.add_interface(obj=optimizer)
+
+    if auto_log:
+        optimizer.enable_auto_logging(
+            context=context,
+            model_name=model_name,
+            tag=tag,
+            labels=labels,
+            extra_data=extra_data,
+        )
+
+
+def apply_mlrun(
+    huggingface_object,
+    model_name: str = None,
+    tag: str = "",
+    context: mlrun.MLClientCtx = None,
+    auto_log: bool = True,
+    labels: Dict[str, str] = None,
+    extra_data: dict = None,
+    **kwargs,
+):
+    """
+    Wrap the given model with MLRun's interface providing it with mlrun's additional features.
+    :param huggingface_object: The model to wrap. Can be loaded from the model path given as well.
+    :param model_name:         The model name to use for storing the model artifact. Default: "model".
+    :param tag:                The model's tag to log with.
+    :param context:            MLRun context to work with. If no context is given it will be retrieved via
+                               'mlrun.get_or_create_ctx(None)'
+    :param auto_log:           Whether to enable MLRun's auto logging. Default: True.
+    """
+
+    if isinstance(huggingface_object, transformers.Trainer):
+        return _apply_mlrun_on_trainer(
+            trainer=huggingface_object,
+            model_name=model_name,
+            tag=tag,
+            context=context,
+            auto_log=auto_log,
+            labels=labels,
+            extra_data=extra_data,
+        )
+    import optimum.onnxruntime as optimum_ort
+
+    if isinstance(huggingface_object, optimum_ort.ORTOptimizer):
+        return _apply_mlrun_on_optimizer(
+            optimizer=huggingface_object,
+            model_name=model_name,
+            tag=tag,
+            context=context,
+            auto_log=auto_log,
+            labels=labels,
+            extra_data=extra_data,
+        )
+    raise mlrun.errors.MLRunInvalidArgumentError
+
+
+# ---------------------- from auto_trainer--------------------------------
+class KWArgsPrefixes:
+    MODEL_CLASS = "CLASS_"
+    FIT = "FIT_"
+    TRAIN = "TRAIN_"
+    PREDICT = "PREDICT_"
+
+
+def _get_sub_dict_by_prefix(src: Dict, prefix_key: str) -> Dict[str, Any]:
+    """
+    Collect all the keys from the given dict that starts with the given prefix and creates a new dictionary with these
+    keys.
+
+    :param src:         The source dict to extract the values from.
+    :param prefix_key:  Only keys with this prefix will be returned. The keys in the result dict will be without this
+                        prefix.
+    """
+    return {
+        key.replace(prefix_key, ""): val
+        for key, val in src.items()
+        if key.startswith(prefix_key)
+    }
+
+
+def _get_dataframe(
+    context: MLClientCtx,
+    dataset: DataItem,
+    label_columns: Optional[Union[str, List[str]]] = None,
+    drop_columns: Union[str, List[str], int, List[int]] = None,
+) -> Tuple[pd.DataFrame, Optional[Union[str, List[str]]]]:
+    """
+    Getting the DataFrame of the dataset and drop the columns accordingly.
+
+    :param context:         MLRun context.
+    :param dataset:         The dataset to train the model on.
+                            Can be either a list of lists, dict, URI or a FeatureVector.
+    :param label_columns:   The target label(s) of the column(s) in the dataset. for Regression or
+                            Classification tasks.
+    :param drop_columns:    str/int or a list of strings/ints that represent the column names/indices to drop.
+    """
+    if isinstance(dataset, (list, dict)):
+        dataset = pd.DataFrame(dataset)
+        # Checking if drop_columns provided by integer type:
+        if drop_columns:
+            if isinstance(drop_columns, str) or (
+                isinstance(drop_columns, list)
+                and any(isinstance(col, str) for col in drop_columns)
+            ):
+                context.logger.error(
+                    "drop_columns must be an integer/list of integers if not provided with a URI/FeatureVector dataset"
+                )
+                raise ValueError
+            dataset.drop(drop_columns, axis=1, inplace=True)
+
+        return dataset, label_columns
+
+    store_uri_prefix, _ = mlrun.datastore.parse_store_uri(dataset.artifact_url)
+    if mlrun.utils.StorePrefix.FeatureVector == store_uri_prefix:
+        # feature-vector case:
+        label_columns = label_columns or dataset.meta.status.label_column
+        dataset = fs.get_offline_features(
+            dataset.meta.uri, drop_columns=drop_columns
+        ).to_dataframe()
+
+        context.logger.info(f"label columns: {label_columns}")
+    else:
+        # simple URL case:
+        dataset = dataset.as_df()
+        if drop_columns:
+            if all(col in dataset for col in drop_columns):
+                dataset = dataset.drop(drop_columns, axis=1)
+            else:
+                context.logger.info(
+                    "not all of the columns to drop in the dataset, drop columns process skipped"
+                )
+    return dataset, label_columns
+
+
+# ---------------------- Hugging Face Trainer --------------------------------
+
+
+def _create_compute_metrics(metrics: List[str]) -> Callable[[EvalPrediction], Dict]:
+    """
+    This function create and returns a function that will be used to compute metrics at evaluation.
+    :param metrics: List of different metrics for evaluate the model such as f1, accuracy etc.
+
+    :returns: Function that will be used to compute metrics at evaluation.
+             Must take a [`EvalPrediction`] and return a dictionary string to metric values.
+    """
+
+    def _compute_metrics(eval_pred):
+        logits, labels = eval_pred
+        predictions = np.argmax(logits, axis=-1)
+        metric_dict_results = {}
+        for metric in metrics:
+            load_met = load_metric(metric)
+            metric_res = load_met.compute(predictions=predictions, references=labels)[
+                metric
+            ]
+            metric_dict_results[metric] = metric_res
+
+        return metric_dict_results
+
+    return _compute_metrics
+
+
+def _edit_columns(
+    dataset: Dataset,
+    drop_columns: List[str] = None,
+    rename_columns: [str, str] = None,
+) -> Dataset:
+    """
+    Drop and renames that columns of the given dataset
+    :param dataset:         Dataset to process
+    :param drop_columns:    The columns to drop from the dataset.
+    :param rename_columns:  Dict of columns ro rename : {<old_name>: <new_name>, ...}
+
+    :returns: The dataset after the desired process
+    """
+    if drop_columns:
+        dataset = dataset.remove_columns(drop_columns)
+    if rename_columns:
+        dataset = dataset.rename_columns(rename_columns)
+    return dataset
+
+
+def _prepare_dataset(
+    context: MLClientCtx,
+    dataset_name: str,
+    label_name: str = None,
+    drop_columns: Optional[List[str]] = None,
+    num_of_train_samples: int = None,
+    train_test_split_size: float = None,
+    random_state: int = None,
+) -> Tuple[Dataset, Dataset]:
+    """
+    Loading the dataset and editing the columns
+
+    :param context:                 MLRun contex
+    :param dataset_name:            The name of the dataset to get from the HuggingFace hub
+    :param label_name:              The target label of the column in the dataset.
+    :param drop_columns:            The columns to drop from the dataset.
+    :param num_of_train_samples:    Max number of training samples, for debugging.
+    :param train_test_split_size:   Should be between 0.0 and 1.0 and represent the proportion of the dataset to include
+                                    in the test split.
+    :param random_state:            Random state for train_test_split
+
+    """
+
+    context.logger.info(
+        f"Loading and editing {dataset_name} dataset from Hugging Face hub"
+    )
+    rename_cols = {label_name: "labels"}
+
+    # Loading and editing dataset:
+    dataset = load_dataset(dataset_name)
+
+    # train set
+    train_dataset = dataset["train"]
+    if num_of_train_samples:
+        train_dataset = train_dataset.shuffle(seed=random_state).select(
+            list(range(num_of_train_samples))
+        )
+    train_dataset = _edit_columns(train_dataset, drop_columns, rename_cols)
+
+    # test set
+    test_dataset = dataset["test"]
+    if train_test_split_size or num_of_train_samples:
+        train_test_split_size = train_test_split_size or 0.2
+        num_of_test_samples = int(
+            (train_dataset.num_rows * train_test_split_size)
+            // (1 - train_test_split_size)
+        )
+        test_dataset = test_dataset.shuffle(seed=random_state).select(
+            list(range(num_of_test_samples))
+        )
+    test_dataset = _edit_columns(test_dataset, drop_columns, rename_cols)
+
+    return train_dataset, test_dataset
+
+
+def train(
+    context: MLClientCtx,
+    hf_dataset: str = None,
+    dataset: DataItem = None,
+    test_set: DataItem = None,
+    drop_columns: Optional[List[str]] = None,
+    pretrained_tokenizer: str = None,
+    pretrained_model: str = None,
+    model_class: str = None,
+    model_name: str = "huggingface-model",
+    label_name: str = "labels",
+    text_col: str = "text",
+    num_of_train_samples: int = None,
+    train_test_split_size: float = None,
+    metrics: List[str] = None,
+    random_state: int = None,
+):
+    """
+    Training and evaluating a pretrained model with a pretrained tokenizer over a dataset.
+    The dataset can be either be the name of the dataset that contains in the HuggingFace hub,
+    or a URI or a FeatureVector
+
+    :param context:                 MLRun context
+    :param hf_dataset:              The name of the dataset to get from the HuggingFace hub
+    :param dataset:                 The dataset to train the model on. Can be either a URI or a FeatureVector
+    :param test_set:                The test set to train the model with.
+    :param drop_columns:            The columns to drop from the dataset.
+    :param pretrained_tokenizer:    The name of the pretrained tokenizer from the HuggingFace hub.
+    :param pretrained_model:        The name of the pretrained model from the HuggingFace hub.
+    :param model_name:              The model's name to use for storing the model artifact, default to 'model'
+    :param model_class:             The class of the model, e.g. `transformers.AutoModelForSequenceClassification`
+    :param label_name:              The target label of the column in the dataset.
+    :param text_col:                The input text column un the dataset.
+    :param num_of_train_samples:    Max number of training samples, for debugging.
+    :param train_test_split_size:   Should be between 0.0 and 1.0 and represent the proportion of the dataset to include
+                                    in the test split.
+    :param metrics:                 List of different metrics for evaluate the model such as f1, accuracy etc.
+    :param random_state:            Random state for train_test_split
+    """
+
+    if train_test_split_size is None and test_set is None:
+        context.logger.info(
+            "'train_test_split_size' is not provided, setting train_test_split_size to 0.2"
+        )
+        train_test_split_size = 0.2
+
+    # Creating tokenizer:
+    tokenizer = AutoTokenizer.from_pretrained(pretrained_tokenizer)
+
+    def preprocess_function(examples):
+        return tokenizer(examples[text_col], truncation=True)
+
+    # prepare data for training
+    if hf_dataset:
+        train_dataset, test_dataset = _prepare_dataset(
+            context,
+            hf_dataset,
+            label_name,
+            drop_columns,
+            num_of_train_samples,
+            train_test_split_size,
+            random_state=random_state,
+        )
+    elif dataset:
+        # Get DataFrame by URL or by FeatureVector:
+        train_dataset, label_name = _get_dataframe(
+            context=context,
+            dataset=dataset,
+            label_columns=label_name,
+            drop_columns=drop_columns,
+        )
+        if test_set:
+            test_dataset, _ = _get_dataframe(
+                context=context,
+                dataset=test_set,
+                label_columns=label_name,
+                drop_columns=drop_columns,
+            )
+        else:
+            train_dataset, test_dataset = train_test_split(
+                train_dataset,
+                test_size=train_test_split_size,
+                random_state=random_state,
+            )
+        train_dataset = Dataset.from_pandas(train_dataset)
+        test_dataset = Dataset.from_pandas(test_dataset)
+    else:
+        raise mlrun.errors.MLRunInvalidArgumentError(
+            "Training data was not provided. A training dataset is mandatory for training."
+            " Please provide a training set using one of the arguments 'hf_dataset' or 'dataset'."
+        )
+
+    # Mapping datasets with the tokenizer:
+    tokenized_train = train_dataset.map(preprocess_function, batched=True)
+    tokenized_test = test_dataset.map(preprocess_function, batched=True)
+
+    # Creating data collator for batching:
+    data_collator = DataCollatorWithPadding(tokenizer=tokenizer)
+
+    # Parsing kwargs:
+    train_kwargs = _get_sub_dict_by_prefix(
+        src=context.parameters, prefix_key=KWArgsPrefixes.TRAIN
+    )
+    model_class_kwargs = _get_sub_dict_by_prefix(
+        src=context.parameters, prefix_key=KWArgsPrefixes.MODEL_CLASS
+    )
+
+    # Loading our pretrained model:
+    model_class_kwargs["pretrained_model_name_or_path"] = (
+        model_class_kwargs.get("pretrained_model_name_or_path") or pretrained_model
+    )
+    train_kwargs["hub_token"] = train_kwargs.get("hub_token") or pretrained_tokenizer
+    if not model_class_kwargs["pretrained_model_name_or_path"]:
+        raise mlrun.errors.MLRunRuntimeError(
+            "Must provide pretrained_model name as "
+            "function argument or in extra params"
+        )
+    model = create_class(model_class).from_pretrained(**model_class_kwargs)
+
+    # Preparing training arguments:
+    training_args = TrainingArguments(
+        **train_kwargs,
+    )
+
+    compute_metrics = _create_compute_metrics(metrics) if metrics else None
+    trainer = Trainer(
+        model=model,
+        args=training_args,
+        train_dataset=tokenized_train,
+        eval_dataset=tokenized_test,
+        tokenizer=tokenizer,
+        data_collator=data_collator,
+        compute_metrics=compute_metrics,
+    )
+
+    apply_mlrun(trainer, model_name=model_name)
+
+    # Apply training with evaluation:
+    context.logger.info(f"training '{model_name}'")
+    trainer.train()
+
+
+def _get_model_dir(model_uri: str):
+    model_file, _, _ = mlrun.artifacts.get_model(model_uri)
+    model_dir = tempfile.gettempdir()
+    # Unzip the Model:
+    with zipfile.ZipFile(model_file, "r") as zip_file:
+        zip_file.extractall(model_dir)
+
+    return model_dir
+
+
+def optimize(
+    model_path: str,
+    model_name: str = "optimized_model",
+    target_dir: str = "./optimized",
+    optimization_level: int = 1,
+):
+    """
+    Optimizing the transformer model using ONNX optimization.
+
+
+    :param model_path:          The path of the model to optimize.
+    :param model_name:          Name of the optimized model.
+    :param target_dir:          The directory to save the ONNX model.
+    :param optimization_level:  Optimization level performed by ONNX Runtime of the loaded graph. (default is 1)
+    """
+    # We import these in the function scope so ONNX won't be mandatory for the other handlers:
+    from optimum.onnxruntime import ORTModelForSequenceClassification, ORTOptimizer
+    from optimum.onnxruntime.configuration import OptimizationConfig
+
+    model_dir = _get_model_dir(model_uri=model_path)
+    # Creating configuration for optimization step:
+    optimization_config = OptimizationConfig(optimization_level=optimization_level)
+
+    # Converting our pretrained model to an ONNX-Runtime model:
+    ort_model = ORTModelForSequenceClassification.from_pretrained(
+        model_dir, from_transformers=True
+    )
+
+    # Creating an ONNX-Runtime optimizer from ONNX model:
+    optimizer = ORTOptimizer.from_pretrained(ort_model)
+
+    apply_mlrun(optimizer, model_name=model_name)
+    # Optimizing and saving the ONNX model:
+    optimizer.optimize(save_dir=target_dir, optimization_config=optimization_config)
+
+        </code>
+    </pre>
+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/hugging_face_classifier_trainer/latest/src/function.yaml b/functions/master/hugging_face_classifier_trainer/latest/src/function.yaml
index eb223b2b..65f5aeb1 100644
--- a/functions/master/hugging_face_classifier_trainer/latest/src/function.yaml
+++ b/functions/master/hugging_face_classifier_trainer/latest/src/function.yaml
@@ -2,11 +2,13 @@ kind: job
 metadata:
   name: hugging-face-classifier-trainer
   tag: ''
-  hash: e8113e81f04c96fc9a8a94e717dea81ee3e05a18
+  hash: f9d8aa4a2c66e24fa418bb163829adc3e2ada06c
   project: ''
   labels:
     author: davids
   categories:
+  - deep-learning
+  - huggingface
   - machine-learning
   - model-training
 spec:
diff --git a/functions/master/hugging_face_classifier_trainer/latest/src/item.yaml b/functions/master/hugging_face_classifier_trainer/latest/src/item.yaml
index 3c087765..332902b3 100755
--- a/functions/master/hugging_face_classifier_trainer/latest/src/item.yaml
+++ b/functions/master/hugging_face_classifier_trainer/latest/src/item.yaml
@@ -1,5 +1,7 @@
 apiVersion: v1
 categories:
+- deep-learning
+- huggingface
 - machine-learning
 - model-training
 description: Automatic train and optimize functions for HuggingFace framework
@@ -28,4 +30,4 @@ spec:
   - datasets~=2.10.1
   - scikit-learn~=1.0.2
 url: ''
-version: 0.2.0
+version: 0.3.0
diff --git a/functions/master/hugging_face_classifier_trainer/latest/static/function.html b/functions/master/hugging_face_classifier_trainer/latest/static/function.html
index 2bf1ffb9..08fe9f21 100644
--- a/functions/master/hugging_face_classifier_trainer/latest/static/function.html
+++ b/functions/master/hugging_face_classifier_trainer/latest/static/function.html
@@ -19,11 +19,13 @@
 metadata:
   name: hugging-face-classifier-trainer
   tag: ''
-  hash: e8113e81f04c96fc9a8a94e717dea81ee3e05a18
+  hash: f9d8aa4a2c66e24fa418bb163829adc3e2ada06c
   project: ''
   labels:
     author: davids
   categories:
+  - deep-learning
+  - huggingface
   - machine-learning
   - model-training
 spec:
diff --git a/functions/master/hugging_face_classifier_trainer/latest/static/item.html b/functions/master/hugging_face_classifier_trainer/latest/static/item.html
index 7db7e49b..70a200c7 100644
--- a/functions/master/hugging_face_classifier_trainer/latest/static/item.html
+++ b/functions/master/hugging_face_classifier_trainer/latest/static/item.html
@@ -17,6 +17,8 @@
         <code class="yaml">
 apiVersion: v1
 categories:
+- deep-learning
+- huggingface
 - machine-learning
 - model-training
 description: Automatic train and optimize functions for HuggingFace framework
@@ -45,7 +47,7 @@
   - datasets~=2.10.1
   - scikit-learn~=1.0.2
 url: ''
-version: 0.2.0
+version: 0.3.0
 
         </code>
     </pre>
diff --git a/functions/master/hugging_face_serving/1.1.0/src/function.yaml b/functions/master/hugging_face_serving/1.1.0/src/function.yaml
new file mode 100644
index 00000000..764fc1cf
--- /dev/null
+++ b/functions/master/hugging_face_serving/1.1.0/src/function.yaml
@@ -0,0 +1,46 @@
+kind: serving
+metadata:
+  name: hugging-face-serving
+  tag: ''
+  hash: 1a489a57da861f129eb26e933f34e58927e41195
+  project: ''
+  labels:
+    author: yonish
+  categories:
+  - huggingface
+  - genai
+  - model-serving
+  - machine-learning
+spec:
+  command: ''
+  args: []
+  image: mlrun/ml-models
+  build:
+    functionSourceCode: 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
+    commands: []
+    code_origin: ''
+    origin_filename: ''
+    requirements:
+    - transformers==4.21.3
+    - tensorflow==2.9.2
+  description: Generic Hugging Face model server.
+  default_handler: ''
+  disable_auto_mount: false
+  clone_target_dir: ''
+  env:
+  - name: MLRUN_HTTPDB__NUCLIO__EXPLICIT_ACK
+    value: enabled
+  priority_class_name: ''
+  preemption_mode: prevent
+  min_replicas: 1
+  max_replicas: 4
+  source: ''
+  function_kind: serving_v2
+  function_handler: hugging_face_serving:handler
+  base_image_pull: false
+  default_class: HuggingFaceModelServer
+  secret_sources: []
+  affinity: null
+  tolerations: null
+  security_context: {}
+verbose: false
diff --git a/functions/master/hugging_face_serving/1.1.0/src/hugging_face_serving.ipynb b/functions/master/hugging_face_serving/1.1.0/src/hugging_face_serving.ipynb
new file mode 100644
index 00000000..94baf9ff
--- /dev/null
+++ b/functions/master/hugging_face_serving/1.1.0/src/hugging_face_serving.ipynb
@@ -0,0 +1,252 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Hugging Face 🤗 Serving"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import mlrun"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Importing the Hugging Face 🤗 model serving function"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "serving_function = mlrun.import_function('function.yaml')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Adding a pretrained model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<mlrun.serving.states.TaskStep at 0x7fc3ec3a7a50>"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "serving_function.add_model(\n",
+    "    'mymodel',\n",
+    "    class_name='HuggingFaceModelServer',\n",
+    "    model_path='123',  # This is not used, just for enabling the process.\n",
+    "    \n",
+    "    task=\"sentiment-analysis\",\n",
+    "    model_class=\"AutoModelForSequenceClassification\",\n",
+    "    model_name=\"nlptown/bert-base-multilingual-uncased-sentiment\",\n",
+    "    tokenizer_class=\"AutoTokenizer\",\n",
+    "    tokenizer_name=\"nlptown/bert-base-multilingual-uncased-sentiment\",\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Testing the pipeline locally"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "> 2022-09-07 08:54:42,419 [info] model mymodel was loaded\n",
+      "> 2022-09-07 08:54:42,420 [info] Loaded ['mymodel']\n"
+     ]
+    }
+   ],
+   "source": [
+    "server = serving_function.to_mock_server()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "prediction: [{'label': '5 stars', 'score': 0.7272651791572571}]\n"
+     ]
+    }
+   ],
+   "source": [
+    "result = server.test(\n",
+    "    '/v2/models/mymodel',\n",
+    "    body={\"inputs\": [\"Nous sommes très heureux de vous présenter la bibliothèque 🤗 Transformers.\"]}\n",
+    ")\n",
+    "print(f\"prediction: {result['outputs']}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Adding a default model from 🤗"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<mlrun.serving.states.TaskStep at 0x7fc2d3472f10>"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "serving_function.add_model(\n",
+    "    'default-model',\n",
+    "    class_name='HuggingFaceModelServer',\n",
+    "    model_path='123',  # This is not used, just for enabling the process.\n",
+    "    \n",
+    "    task=\"sentiment-analysis\",\n",
+    "    framework='pt', # Use `pt` for pytorch and `tf` for tensorflow.\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Deploy the pipeline to our k8s cluster"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "> 2022-09-07 08:54:42,487 [info] Starting remote function deploy\n",
+      "2022-09-07 08:54:43  (info) Deploying function\n",
+      "2022-09-07 08:54:43  (info) Building\n",
+      "2022-09-07 08:54:44  (info) Staging files and preparing base images\n",
+      "2022-09-07 08:54:44  (info) Building processor image\n",
+      "2022-09-07 08:56:29  (info) Build complete\n",
+      "> 2022-09-07 08:57:09,536 [info] successfully deployed function: {'internal_invocation_urls': ['nuclio-default-hugging-face-serving.default-tenant.svc.cluster.local:8080'], 'external_invocation_urls': ['default-hugging-face-serving-default.default-tenant.app.yh43.iguazio-cd1.com/']}\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "'http://default-hugging-face-serving-default.default-tenant.app.yh43.iguazio-cd1.com/'"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "serving_function.deploy()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Infer our sentences through our model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "> 2022-09-07 08:57:09,616 [info] invoking function: {'method': 'POST', 'path': 'http://nuclio-default-hugging-face-serving.default-tenant.svc.cluster.local:8080/v2/models/default-model/predict'}\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "{'id': 'f7753a17-fa84-44fa-9264-1dc65172d05c',\n",
+       " 'model_name': 'default-model',\n",
+       " 'outputs': [{'label': 'POSITIVE', 'score': 0.9993784427642822}]}"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "serving_function.invoke(\n",
+    "    path='v2/models/default-model/predict',\n",
+    "    body={\"inputs\": [\"We are delighted that we can serve 🤗 Transformers with MLRun.\"]})"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/functions/master/hugging_face_serving/1.1.0/src/hugging_face_serving.py b/functions/master/hugging_face_serving/1.1.0/src/hugging_face_serving.py
new file mode 100644
index 00000000..06dc4207
--- /dev/null
+++ b/functions/master/hugging_face_serving/1.1.0/src/hugging_face_serving.py
@@ -0,0 +1,129 @@
+# Copyright 2019 Iguazio
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+from abc import ABC
+from importlib import import_module
+from typing import List
+
+from transformers import pipeline
+
+import mlrun.serving
+
+PACKAGE_MODULE = "transformers"
+SERIALIZABLE_TYPES = [dict, list, tuple, str, int, float]
+
+
+class HuggingFaceModelServer(mlrun.serving.V2ModelServer, ABC):
+    """
+    Hugging Face Model serving class, inheriting the V2ModelServer class for being initialized automatically by the
+    model server and be able to run locally as part of a nuclio serverless function, or as part of a real-time pipeline.
+    """
+
+    def __init__(
+        self,
+        context: mlrun.MLClientCtx,
+        name: str,
+        task: str,
+        model_path: str = None,
+        model_name: str = None,
+        model_class: str = None,
+        tokenizer_name: str = None,
+        tokenizer_class: str = None,
+        framework: str = None,
+        **class_args,
+    ):
+        """
+        Initialize a serving class for a Hugging face model.
+
+        :param context:         The mlrun context to work with
+        :param name:            The name of this server to be initialized
+        :param model_path:      Not in use. When adding a model pass any string value
+        :param model_name:      The model's name in the Hugging Face hub
+                                e.g., `nlptown/bert-base-multilingual-uncased-sentiment`
+        :param model_class:     The model's class type object which can be passed as the class's name (string).
+                                Must be provided and to be matched with `model_name`.
+                                e.g., `AutoModelForSequenceClassification`
+        :param tokenizer_name:  The tokenizer's name in the Hugging Face hub
+                                e.g., `nlptown/bert-base-multilingual-uncased-sentiment`
+        :param tokenizer_class: The model's class type object which can be passed as the class's name (string).
+                                Must be provided and to be matched with `model_name`.
+                                e.g., `AutoTokenizer`
+        :param framework:       The framework to use, either `"pt"` for PyTorch or `"tf"` for TensorFlow. The specified
+                                framework must be installed.
+                                If no framework is specified, will default to the one currently installed.
+                                If no framework is specified and both frameworks are installed, will default to the
+                                framework of the `model`, or to PyTorch if no model is provided.
+        :param class_args:      -
+        """
+        super(HuggingFaceModelServer, self).__init__(
+            context=context,
+            name=name,
+            model_path=model_path,
+            **class_args,
+        )
+        self.task = task
+        self.model = None
+        self.tokenizer = None
+        self.model_name = model_name
+        self.tokenizer_name = tokenizer_name
+        self.model_class = model_class
+        self.tokenizer_class = tokenizer_class
+        self.framework = framework
+        self.pipe = None
+
+    def load(self):
+        """load and initialize the model and/or other elements"""
+        if self.model_class:
+            model_object = getattr(import_module(PACKAGE_MODULE), self.model_class)
+            self.model = model_object.from_pretrained(self.model_name)
+        if self.tokenizer_class:
+            tokenizer_object = getattr(
+                import_module(PACKAGE_MODULE), self.tokenizer_class
+            )
+            self.tokenizer = tokenizer_object.from_pretrained(self.tokenizer_name)
+        self.pipe = pipeline(
+            task=self.task,
+            model=self.model or self.model_name,
+            tokenizer=self.tokenizer,
+            framework=self.framework,
+        )
+
+    def predict(self, body: dict) -> List:
+        """Generate model predictions from sample."""
+        if self.pipe is None:
+            raise ValueError("Please use `.load()`")
+        try:
+            if isinstance(body["inputs"][0], dict):
+                result = [self.pipe(**_input) for _input in body["inputs"]]
+            else:
+                result = self.pipe(body["inputs"])
+            # replace list of lists of dicts into a list of dicts:
+            if all(isinstance(res, list) for res in result):
+                new_result = [res[0] for res in result]
+                result = new_result
+
+            non_serializable_types = []
+            for res in result:
+                for key, val in res.items():
+                    if type(val) not in SERIALIZABLE_TYPES:
+                        non_serializable_types.append(str(type(val)))
+                        res[key] = str(val)
+            if non_serializable_types:
+                self.context.logger.info(
+                    f"Non-serializable types: {non_serializable_types} were casted to strings"
+                )
+        except Exception as e:
+            raise Exception("Failed to predict %s" % e)
+        return result
diff --git a/functions/master/hugging_face_serving/1.1.0/src/item.yaml b/functions/master/hugging_face_serving/1.1.0/src/item.yaml
new file mode 100644
index 00000000..d1f78769
--- /dev/null
+++ b/functions/master/hugging_face_serving/1.1.0/src/item.yaml
@@ -0,0 +1,32 @@
+apiVersion: v1
+categories:
+- huggingface
+- genai
+- model-serving
+- machine-learning
+description: Generic Hugging Face model server.
+doc: ''
+example: hugging_face_serving.ipynb
+generationDate: 2022-09-05:17-00
+hidden: false
+icon: ''
+labels:
+  author: yonish
+maintainers: []
+marketplaceType: ''
+mlrunVersion: 1.1.0
+name: hugging_face_serving
+platformVersion: ''
+spec:
+  customFields:
+    default_class: HuggingFaceModelServer
+  filename: hugging_face_serving.py
+  handler: handler
+  image: mlrun/ml-models
+  kind: serving
+  requirements:
+  - transformers==4.21.3
+  - tensorflow==2.9.2
+url: ''
+version: 1.1.0
+test_valid: false
\ No newline at end of file
diff --git a/functions/master/hugging_face_serving/1.1.0/src/requirements.txt b/functions/master/hugging_face_serving/1.1.0/src/requirements.txt
new file mode 100644
index 00000000..56d9116d
--- /dev/null
+++ b/functions/master/hugging_face_serving/1.1.0/src/requirements.txt
@@ -0,0 +1,2 @@
+transformers
+numpy
diff --git a/functions/master/hugging_face_serving/1.1.0/src/test_hugging_face_serving.py b/functions/master/hugging_face_serving/1.1.0/src/test_hugging_face_serving.py
new file mode 100644
index 00000000..6fdc02dd
--- /dev/null
+++ b/functions/master/hugging_face_serving/1.1.0/src/test_hugging_face_serving.py
@@ -0,0 +1,119 @@
+# Copyright 2019 Iguazio
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+import numpy as np
+import pytest
+
+import mlrun
+
+CLASS_NAME = "HuggingFaceModelServer"
+
+PIPELINES = [
+    {
+        "task": "sentiment-analysis",
+        "example": "We are very happy to show you the 🤗 Transformers library.",
+        "result_keys": ["label", "score"],
+    },
+    {
+        "task": "text-generation",
+        "example": {
+            "text_inputs": "Hello, I'm a language model",
+            "max_length": 20,
+            "num_return_sequences": 1,
+        },
+        "result_keys": ["generated_text"],
+    },
+    {
+        "task": "ner",
+        "example": "My name is Wolfgang",
+        "result_keys": ["entity", "score", "index", "word", "start", "end"],
+    },
+    {
+        "task": "question-answering",
+        "example": {
+            "question": "Where do I live?",
+            "context": "My name is Merve and I live in İstanbul.",
+        },
+        "result_keys": ["score", "start", "end", "answer"],
+    },
+    {
+        "task": "fill-mask",
+        "example": "Paris is the <mask> of France.",
+        "result_keys": ["score", "token", "token_str", "sequence"],
+    },
+    {
+        "task": "summarization",
+        "example": "Paris is the capital and most populous city of France,"
+        " with an estimated population of 2,175,601 residents as of 2018,"
+        " in an area of more than 105 square kilometres (41 square miles)."
+        " The City of Paris is the centre and seat of government of the region"
+        " and province of Île-de-France, or Paris Region, which has an estimated population of 12,174,880,"
+        " or about 18 percent of the population of France as of 2017.",
+        "result_keys": ["summary_text"],
+    },
+    {
+        "task": "translation_en_to_fr",
+        "example": "How old are you?",
+        "result_keys": ["translation_text"],
+    },
+]
+
+
+@pytest.mark.parametrize("pipeline", PIPELINES)
+def test_default_models(pipeline):
+    serving_function = mlrun.import_function("function.yaml")
+    serving_function.add_model(
+        pipeline["task"],
+        class_name=CLASS_NAME,
+        model_path="123",  # This is not used, just for enabling the process.
+        task=pipeline["task"],
+    )
+    server = serving_function.to_mock_server()
+    result = server.test(
+        f'/v2/models/{pipeline["task"]}', body={"inputs": [pipeline["example"]]}
+    )
+    prediction = result["outputs"][0]
+    assert all(
+        result_key in prediction.keys() for result_key in pipeline["result_keys"]
+    )
+
+
+def test_local_model_serving():
+
+    serving_function = mlrun.import_function("function.yaml")
+
+    # Adding model:
+    serving_function.add_model(
+        "model1",
+        class_name=CLASS_NAME,
+        model_path="123",  # This is not used, just for enabling the process.
+        task="sentiment-analysis",
+        model_class="TFAutoModelForSequenceClassification",
+        model_name="nlptown/bert-base-multilingual-uncased-sentiment",
+        tokenizer_class="AutoTokenizer",
+        tokenizer_name="nlptown/bert-base-multilingual-uncased-sentiment",
+    )
+
+    server = serving_function.to_mock_server()
+    result = server.test(
+        "/v2/models/model1",
+        body={
+            "inputs": [
+                "Nous sommes très heureux de vous présenter la bibliothèque 🤗 Transformers."
+            ]
+        },
+    )
+
+    prediction = result["outputs"][0]
+    assert prediction["label"] == "5 stars" and np.isclose(prediction["score"], 0.72727)
diff --git a/functions/master/hugging_face_serving/1.1.0/static/documentation.html b/functions/master/hugging_face_serving/1.1.0/static/documentation.html
new file mode 100644
index 00000000..ab2b2bea
--- /dev/null
+++ b/functions/master/hugging_face_serving/1.1.0/static/documentation.html
@@ -0,0 +1,239 @@
+
+<!DOCTYPE html>
+
+<html lang="en">
+<head>
+<meta charset="utf-8"/>
+<meta content="width=device-width, initial-scale=1.0" name="viewport"/><meta content="Docutils 0.17.1: http://docutils.sourceforge.net/" name="generator"/>
+<title>hugging_face_serving package</title>
+<!-- Loaded before other Sphinx assets -->
+<link href="../../../_static/styles/theme.css?digest=1999514e3f237ded88cf" rel="stylesheet"/>
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+<ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#submodules">
+   Submodules
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#module-hugging_face_serving.hugging_face_serving">
+   hugging_face_serving.hugging_face_serving module
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#module-hugging_face_serving">
+   Module contents
+  </a>
+</li>
+</ul>
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+<div class="col pl-md-3 pl-lg-5 content-container">
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+<h1>hugging_face_serving package</h1>
+<!-- Table of contents -->
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+<div id="jb-print-toc">
+<div>
+<h2> Contents </h2>
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+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#submodules">
+   Submodules
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#module-hugging_face_serving.hugging_face_serving">
+   hugging_face_serving.hugging_face_serving module
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#module-hugging_face_serving">
+   Module contents
+  </a>
+</li>
+</ul>
+</nav>
+</div>
+</div>
+</div>
+<main id="main-content" role="main">
+<div>
+<section id="hugging-face-serving-package">
+<h1>hugging_face_serving package<a class="headerlink" href="#hugging-face-serving-package" title="Permalink to this headline">#</a></h1>
+<section id="submodules">
+<h2>Submodules<a class="headerlink" href="#submodules" title="Permalink to this headline">#</a></h2>
+</section>
+<section id="module-hugging_face_serving.hugging_face_serving">
+<span id="hugging-face-serving-hugging-face-serving-module"></span><h2>hugging_face_serving.hugging_face_serving module<a class="headerlink" href="#module-hugging_face_serving.hugging_face_serving" title="Permalink to this headline">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="hugging_face_serving.hugging_face_serving.HuggingFaceModelServer">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">hugging_face_serving.hugging_face_serving.</span></span><span class="sig-name descname"><span class="pre">HuggingFaceModelServer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">context</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">mlrun.execution.MLClientCtx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">task</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_class</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tokenizer_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tokenizer_class</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">framework</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">class_args</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="hugging_face_serving.html#HuggingFaceModelServer"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#hugging_face_serving.hugging_face_serving.HuggingFaceModelServer" title="Permalink to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">mlrun.serving.v2_serving.V2ModelServer</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">abc.ABC</span></code></p>
+<p>Hugging Face Model serving class, inheriting the V2ModelServer class for being initialized automatically by the
+model server and be able to run locally as part of a nuclio serverless function, or as part of a real-time pipeline.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="hugging_face_serving.hugging_face_serving.HuggingFaceModelServer.load">
+<span class="sig-name descname"><span class="pre">load</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="hugging_face_serving.html#HuggingFaceModelServer.load"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#hugging_face_serving.hugging_face_serving.HuggingFaceModelServer.load" title="Permalink to this definition">#</a></dt>
+<dd><p>load and initialize the model and/or other elements</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="hugging_face_serving.hugging_face_serving.HuggingFaceModelServer.predict">
+<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">body</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> → <span class="pre">List</span><a class="reference internal" href="hugging_face_serving.html#HuggingFaceModelServer.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#hugging_face_serving.hugging_face_serving.HuggingFaceModelServer.predict" title="Permalink to this definition">#</a></dt>
+<dd><p>Generate model predictions from sample.</p>
+</dd></dl>
+</dd></dl>
+</section>
+<section id="module-hugging_face_serving">
+<span id="module-contents"></span><h2>Module contents<a class="headerlink" href="#module-hugging_face_serving" title="Permalink to this headline">#</a></h2>
+</section>
+</section>
+</div>
+</main>
+<footer class="footer-article noprint">
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diff --git a/functions/master/hugging_face_serving/1.1.0/static/example.html b/functions/master/hugging_face_serving/1.1.0/static/example.html
new file mode 100644
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+++ b/functions/master/hugging_face_serving/1.1.0/static/example.html
@@ -0,0 +1,395 @@
+
+<!DOCTYPE html>
+
+<html lang="en">
+<head>
+<meta charset="utf-8"/>
+<meta content="width=device-width, initial-scale=1.0" name="viewport"/><meta content="Docutils 0.17.1: http://docutils.sourceforge.net/" name="generator"/>
+<title>Hugging Face 🤗 Serving</title>
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+<link href="../../../_static/togglebutton.css" rel="stylesheet" type="text/css">
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+<input aria-label="Toggle in-page Table of Contents" class="sidebar-toggle" id="__page-toc" name="__page-toc" type="checkbox"/>
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+<div class="visually-hidden">Toggle in-page Table of Contents</div>
+</label>
+<!-- Headers at the top -->
+<div class="announcement header-item noprint"></div>
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+<div class="row">
+<!-- Sidebar -->
+<div class="bd-sidebar noprint single-page" id="site-navigation">
+</div>
+<!-- A tiny helper pixel to detect if we've scrolled -->
+<div class="sbt-scroll-pixel-helper"></div>
+<!-- Main content -->
+<div class="col py-0 content-container">
+<div class="header-article row sticky-top noprint">
+<div class="col py-1 d-flex header-article-main">
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+<li>
+<a class="headerbtn" data-placement="left" data-toggle="tooltip" href="https://github.com/mlrun/marketplace" title="Source repository">
+<span class="headerbtn__icon-container">
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+<span class="headerbtn__text-container">repository</span>
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+<a class="headerbtn" data-placement="left" data-toggle="tooltip" href="https://github.com/mlrun/marketplace/issues/new?title=Issue%20on%20page%20%2Fhugging_face_serving_example.html&amp;body=Your%20issue%20content%20here." title="Open an issue">
+<span class="headerbtn__icon-container">
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+</span>
+<span class="headerbtn__text-container">open issue</span>
+</a>
+</li>
+<li>
+<a class="headerbtn" data-placement="left" data-toggle="tooltip" href="https://github.com/mlrun/marketplace/edit/master/docs/hugging_face_serving_example.ipynb" title="Edit this page">
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+</span>
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+</li>
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+<div class="menu-dropdown menu-dropdown-download-buttons">
+<button aria-label="Download this page" class="headerbtn menu-dropdown__trigger">
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+<a class="headerbtn" data-placement="left" data-toggle="tooltip" href="../src/hugging_face_serving.ipynb" title="Download source file">
+<span class="headerbtn__icon-container">
+<i class="fas fa-file"></i>
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+<span class="headerbtn__icon-container">
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+<label class="headerbtn headerbtn-page-toc" for="__page-toc">
+<span class="headerbtn__icon-container">
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+<!-- Table of contents -->
+<div class="col-md-3 bd-toc show noprint">
+<div class="tocsection onthispage pt-5 pb-3">
+<i class="fas fa-list"></i> Contents
+    </div>
+<nav aria-label="Page" id="bd-toc-nav">
+<ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#importing-the-hugging-face-model-serving-function">
+   Importing the Hugging Face 🤗 model serving function
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#adding-a-pretrained-model">
+   Adding a pretrained model
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#testing-the-pipeline-locally">
+   Testing the pipeline locally
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#adding-a-default-model-from">
+   Adding a default model from 🤗
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#deploy-the-pipeline-to-our-k8s-cluster">
+   Deploy the pipeline to our k8s cluster
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#infer-our-sentences-through-our-model">
+   Infer our sentences through our model
+  </a>
+</li>
+</ul>
+</nav>
+</div>
+</div>
+<div class="article row">
+<div class="col pl-md-3 pl-lg-5 content-container">
+<!-- Table of contents that is only displayed when printing the page -->
+<div class="onlyprint" id="jb-print-docs-body">
+<h1>Hugging Face 🤗 Serving</h1>
+<!-- Table of contents -->
+<div id="print-main-content">
+<div id="jb-print-toc">
+<div>
+<h2> Contents </h2>
+</div>
+<nav aria-label="Page">
+<ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#importing-the-hugging-face-model-serving-function">
+   Importing the Hugging Face 🤗 model serving function
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#adding-a-pretrained-model">
+   Adding a pretrained model
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#testing-the-pipeline-locally">
+   Testing the pipeline locally
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#adding-a-default-model-from">
+   Adding a default model from 🤗
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#deploy-the-pipeline-to-our-k8s-cluster">
+   Deploy the pipeline to our k8s cluster
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#infer-our-sentences-through-our-model">
+   Infer our sentences through our model
+  </a>
+</li>
+</ul>
+</nav>
+</div>
+</div>
+</div>
+<main id="main-content" role="main">
+<div>
+<section id="hugging-face-serving">
+<h1>Hugging Face 🤗 Serving<a class="headerlink" href="#hugging-face-serving" title="Permalink to this headline">#</a></h1>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">mlrun</span>
+</pre></div>
+</div>
+</div>
+</div>
+<section id="importing-the-hugging-face-model-serving-function">
+<h2>Importing the Hugging Face 🤗 model serving function<a class="headerlink" href="#importing-the-hugging-face-model-serving-function" title="Permalink to this headline">#</a></h2>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">serving_function</span> <span class="o">=</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">import_function</span><span class="p">(</span><span class="s1">'function.yaml'</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="adding-a-pretrained-model">
+<h2>Adding a pretrained model<a class="headerlink" href="#adding-a-pretrained-model" title="Permalink to this headline">#</a></h2>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">serving_function</span><span class="o">.</span><span class="n">add_model</span><span class="p">(</span>
+    <span class="s1">'mymodel'</span><span class="p">,</span>
+    <span class="n">class_name</span><span class="o">=</span><span class="s1">'HuggingFaceModelServer'</span><span class="p">,</span>
+    <span class="n">model_path</span><span class="o">=</span><span class="s1">'123'</span><span class="p">,</span>  <span class="c1"># This is not used, just for enabling the process.</span>
+    
+    <span class="n">task</span><span class="o">=</span><span class="s2">"sentiment-analysis"</span><span class="p">,</span>
+    <span class="n">model_class</span><span class="o">=</span><span class="s2">"AutoModelForSequenceClassification"</span><span class="p">,</span>
+    <span class="n">model_name</span><span class="o">=</span><span class="s2">"nlptown/bert-base-multilingual-uncased-sentiment"</span><span class="p">,</span>
+    <span class="n">tokenizer_class</span><span class="o">=</span><span class="s2">"AutoTokenizer"</span><span class="p">,</span>
+    <span class="n">tokenizer_name</span><span class="o">=</span><span class="s2">"nlptown/bert-base-multilingual-uncased-sentiment"</span><span class="p">,</span>
+<span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;mlrun.serving.states.TaskStep at 0x7fc3ec3a7a50&gt;
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="testing-the-pipeline-locally">
+<h2>Testing the pipeline locally<a class="headerlink" href="#testing-the-pipeline-locally" title="Permalink to this headline">#</a></h2>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">server</span> <span class="o">=</span> <span class="n">serving_function</span><span class="o">.</span><span class="n">to_mock_server</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&gt; 2022-09-07 08:54:42,419 [info] model mymodel was loaded
+&gt; 2022-09-07 08:54:42,420 [info] Loaded ['mymodel']
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">result</span> <span class="o">=</span> <span class="n">server</span><span class="o">.</span><span class="n">test</span><span class="p">(</span>
+    <span class="s1">'/v2/models/mymodel'</span><span class="p">,</span>
+    <span class="n">body</span><span class="o">=</span><span class="p">{</span><span class="s2">"inputs"</span><span class="p">:</span> <span class="p">[</span><span class="s2">"Nous sommes très heureux de vous présenter la bibliothèque 🤗 Transformers."</span><span class="p">]}</span>
+<span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">"prediction: </span><span class="si">{</span><span class="n">result</span><span class="p">[</span><span class="s1">'outputs'</span><span class="p">]</span><span class="si">}</span><span class="s2">"</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>prediction: [{'label': '5 stars', 'score': 0.7272651791572571}]
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="adding-a-default-model-from">
+<h2>Adding a default model from 🤗<a class="headerlink" href="#adding-a-default-model-from" title="Permalink to this headline">#</a></h2>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">serving_function</span><span class="o">.</span><span class="n">add_model</span><span class="p">(</span>
+    <span class="s1">'default-model'</span><span class="p">,</span>
+    <span class="n">class_name</span><span class="o">=</span><span class="s1">'HuggingFaceModelServer'</span><span class="p">,</span>
+    <span class="n">model_path</span><span class="o">=</span><span class="s1">'123'</span><span class="p">,</span>  <span class="c1"># This is not used, just for enabling the process.</span>
+    
+    <span class="n">task</span><span class="o">=</span><span class="s2">"sentiment-analysis"</span><span class="p">,</span>
+    <span class="n">framework</span><span class="o">=</span><span class="s1">'pt'</span><span class="p">,</span> <span class="c1"># Use `pt` for pytorch and `tf` for tensorflow.</span>
+<span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;mlrun.serving.states.TaskStep at 0x7fc2d3472f10&gt;
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="deploy-the-pipeline-to-our-k8s-cluster">
+<h2>Deploy the pipeline to our k8s cluster<a class="headerlink" href="#deploy-the-pipeline-to-our-k8s-cluster" title="Permalink to this headline">#</a></h2>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">serving_function</span><span class="o">.</span><span class="n">deploy</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&gt; 2022-09-07 08:54:42,487 [info] Starting remote function deploy
+2022-09-07 08:54:43  (info) Deploying function
+2022-09-07 08:54:43  (info) Building
+2022-09-07 08:54:44  (info) Staging files and preparing base images
+2022-09-07 08:54:44  (info) Building processor image
+2022-09-07 08:56:29  (info) Build complete
+&gt; 2022-09-07 08:57:09,536 [info] successfully deployed function: {'internal_invocation_urls': ['nuclio-default-hugging-face-serving.default-tenant.svc.cluster.local:8080'], 'external_invocation_urls': ['default-hugging-face-serving-default.default-tenant.app.yh43.iguazio-cd1.com/']}
+</pre></div>
+</div>
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>'http://default-hugging-face-serving-default.default-tenant.app.yh43.iguazio-cd1.com/'
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="infer-our-sentences-through-our-model">
+<h2>Infer our sentences through our model<a class="headerlink" href="#infer-our-sentences-through-our-model" title="Permalink to this headline">#</a></h2>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">serving_function</span><span class="o">.</span><span class="n">invoke</span><span class="p">(</span>
+    <span class="n">path</span><span class="o">=</span><span class="s1">'v2/models/default-model/predict'</span><span class="p">,</span>
+    <span class="n">body</span><span class="o">=</span><span class="p">{</span><span class="s2">"inputs"</span><span class="p">:</span> <span class="p">[</span><span class="s2">"We are delighted that we can serve 🤗 Transformers with MLRun."</span><span class="p">]})</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&gt; 2022-09-07 08:57:09,616 [info] invoking function: {'method': 'POST', 'path': 'http://nuclio-default-hugging-face-serving.default-tenant.svc.cluster.local:8080/v2/models/default-model/predict'}
+</pre></div>
+</div>
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>{'id': 'f7753a17-fa84-44fa-9264-1dc65172d05c',
+ 'model_name': 'default-model',
+ 'outputs': [{'label': 'POSITIVE', 'score': 0.9993784427642822}]}
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+</section>
+</div>
+</main>
+<footer class="footer-article noprint">
+<!-- Previous / next buttons -->
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+<footer class="col footer"><p>
+  
+      © Copyright .<br/>
+</p>
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+<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf"></script>
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diff --git a/functions/master/hugging_face_serving/1.1.0/static/function.html b/functions/master/hugging_face_serving/1.1.0/static/function.html
new file mode 100644
index 00000000..5163d6a0
--- /dev/null
+++ b/functions/master/hugging_face_serving/1.1.0/static/function.html
@@ -0,0 +1,68 @@
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta content="IE=edge" http-equiv="X-UA-Compatible">
+    <meta content="width=device-width, initial-scale=1.0" name="viewport">
+    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/styles/atom-one-dark.min.css">
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/highlight.min.js"></script>
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/languages/yaml.min.js"></script>
+    <title>Source</title>
+    <script>hljs.highlightAll();</script>
+</head>
+
+<body style="background-color:darkgray; margin: 0 0 0 0;">
+    <pre style="margin: 0 1em;">
+        <code class="yaml">
+kind: serving
+metadata:
+  name: hugging-face-serving
+  tag: ''
+  hash: 1a489a57da861f129eb26e933f34e58927e41195
+  project: ''
+  labels:
+    author: yonish
+  categories:
+  - huggingface
+  - genai
+  - model-serving
+  - machine-learning
+spec:
+  command: ''
+  args: []
+  image: mlrun/ml-models
+  build:
+    functionSourceCode: IyBDb3B5cmlnaHQgMjAxOSBJZ3VhemlvCiMKIyBMaWNlbnNlZCB1bmRlciB0aGUgQXBhY2hlIExpY2Vuc2UsIFZlcnNpb24gMi4wICh0aGUgIkxpY2Vuc2UiKTsKIyB5b3UgbWF5IG5vdCB1c2UgdGhpcyBmaWxlIGV4Y2VwdCBpbiBjb21wbGlhbmNlIHdpdGggdGhlIExpY2Vuc2UuCiMgWW91IG1heSBvYnRhaW4gYSBjb3B5IG9mIHRoZSBMaWNlbnNlIGF0CiMKIyAgICAgaHR0cDovL3d3dy5hcGFjaGUub3JnL2xpY2Vuc2VzL0xJQ0VOU0UtMi4wCiMKIyBVbmxlc3MgcmVxdWlyZWQgYnkgYXBwbGljYWJsZSBsYXcgb3IgYWdyZWVkIHRvIGluIHdyaXRpbmcsIHNvZnR3YXJlCiMgZGlzdHJpYnV0ZWQgdW5kZXIgdGhlIExpY2Vuc2UgaXMgZGlzdHJpYnV0ZWQgb24gYW4gIkFTIElTIiBCQVNJUywKIyBXSVRIT1VUIFdBUlJBTlRJRVMgT1IgQ09ORElUSU9OUyBPRiBBTlkgS0lORCwgZWl0aGVyIGV4cHJlc3Mgb3IgaW1wbGllZC4KIyBTZWUgdGhlIExpY2Vuc2UgZm9yIHRoZSBzcGVjaWZpYyBsYW5ndWFnZSBnb3Zlcm5pbmcgcGVybWlzc2lvbnMgYW5kCiMgbGltaXRhdGlvbnMgdW5kZXIgdGhlIExpY2Vuc2UuCiMKCmZyb20gYWJjIGltcG9ydCBBQkMKZnJvbSBpbXBvcnRsaWIgaW1wb3J0IGltcG9ydF9tb2R1bGUKZnJvbSB0eXBpbmcgaW1wb3J0IExpc3QKCmZyb20gdHJhbnNmb3JtZXJzIGltcG9ydCBwaXBlbGluZQoKaW1wb3J0IG1scnVuLnNlcnZpbmcKClBBQ0tBR0VfTU9EVUxFID0gInRyYW5zZm9ybWVycyIKU0VSSUFMSVpBQkxFX1RZUEVTID0gW2RpY3QsIGxpc3QsIHR1cGxlLCBzdHIsIGludCwgZmxvYXRdCgoKY2xhc3MgSHVnZ2luZ0ZhY2VNb2RlbFNlcnZlcihtbHJ1bi5zZXJ2aW5nLlYyTW9kZWxTZXJ2ZXIsIEFCQyk6CiAgICAiIiIKICAgIEh1Z2dpbmcgRmFjZSBNb2RlbCBzZXJ2aW5nIGNsYXNzLCBpbmhlcml0aW5nIHRoZSBWMk1vZGVsU2VydmVyIGNsYXNzIGZvciBiZWluZyBpbml0aWFsaXplZCBhdXRvbWF0aWNhbGx5IGJ5IHRoZQogICAgbW9kZWwgc2VydmVyIGFuZCBiZSBhYmxlIHRvIHJ1biBsb2NhbGx5IGFzIHBhcnQgb2YgYSBudWNsaW8gc2VydmVybGVzcyBmdW5jdGlvbiwgb3IgYXMgcGFydCBvZiBhIHJlYWwtdGltZSBwaXBlbGluZS4KICAgICIiIgoKICAgIGRlZiBfX2luaXRfXygKICAgICAgICBzZWxmLAogICAgICAgIGNvbnRleHQ6IG1scnVuLk1MQ2xpZW50Q3R4LAogICAgICAgIG5hbWU6IHN0ciwKICAgICAgICB0YXNrOiBzdHIsCiAgICAgICAgbW9kZWxfcGF0aDogc3RyID0gTm9uZSwKICAgICAgICBtb2RlbF9uYW1lOiBzdHIgPSBOb25lLAogICAgICAgIG1vZGVsX2NsYXNzOiBzdHIgPSBOb25lLAogICAgICAgIHRva2VuaXplcl9uYW1lOiBzdHIgPSBOb25lLAogICAgICAgIHRva2VuaXplcl9jbGFzczogc3RyID0gTm9uZSwKICAgICAgICBmcmFtZXdvcms6IHN0ciA9IE5vbmUsCiAgICAgICAgKipjbGFzc19hcmdzLAogICAgKToKICAgICAgICAiIiIKICAgICAgICBJbml0aWFsaXplIGEgc2VydmluZyBjbGFzcyBmb3IgYSBIdWdnaW5nIGZhY2UgbW9kZWwuCgogICAgICAgIDpwYXJhbSBjb250ZXh0OiAgICAgICAgIFRoZSBtbHJ1biBjb250ZXh0IHRvIHdvcmsgd2l0aAogICAgICAgIDpwYXJhbSBuYW1lOiAgICAgICAgICAgIFRoZSBuYW1lIG9mIHRoaXMgc2VydmVyIHRvIGJlIGluaXRpYWxpemVkCiAgICAgICAgOnBhcmFtIG1vZGVsX3BhdGg6ICAgICAgTm90IGluIHVzZS4gV2hlbiBhZGRpbmcgYSBtb2RlbCBwYXNzIGFueSBzdHJpbmcgdmFsdWUKICAgICAgICA6cGFyYW0gbW9kZWxfbmFtZTogICAgICBUaGUgbW9kZWwncyBuYW1lIGluIHRoZSBIdWdnaW5nIEZhY2UgaHViCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgZS5nLiwgYG5scHRvd24vYmVydC1iYXNlLW11bHRpbGluZ3VhbC11bmNhc2VkLXNlbnRpbWVudGAKICAgICAgICA6cGFyYW0gbW9kZWxfY2xhc3M6ICAgICBUaGUgbW9kZWwncyBjbGFzcyB0eXBlIG9iamVjdCB3aGljaCBjYW4gYmUgcGFzc2VkIGFzIHRoZSBjbGFzcydzIG5hbWUgKHN0cmluZykuCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgTXVzdCBiZSBwcm92aWRlZCBhbmQgdG8gYmUgbWF0Y2hlZCB3aXRoIGBtb2RlbF9uYW1lYC4KICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICBlLmcuLCBgQXV0b01vZGVsRm9yU2VxdWVuY2VDbGFzc2lmaWNhdGlvbmAKICAgICAgICA6cGFyYW0gdG9rZW5pemVyX25hbWU6ICBUaGUgdG9rZW5pemVyJ3MgbmFtZSBpbiB0aGUgSHVnZ2luZyBGYWNlIGh1YgogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIGUuZy4sIGBubHB0b3duL2JlcnQtYmFzZS1tdWx0aWxpbmd1YWwtdW5jYXNlZC1zZW50aW1lbnRgCiAgICAgICAgOnBhcmFtIHRva2VuaXplcl9jbGFzczogVGhlIG1vZGVsJ3MgY2xhc3MgdHlwZSBvYmplY3Qgd2hpY2ggY2FuIGJlIHBhc3NlZCBhcyB0aGUgY2xhc3MncyBuYW1lIChzdHJpbmcpLgogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIE11c3QgYmUgcHJvdmlkZWQgYW5kIHRvIGJlIG1hdGNoZWQgd2l0aCBgbW9kZWxfbmFtZWAuCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgZS5nLiwgYEF1dG9Ub2tlbml6ZXJgCiAgICAgICAgOnBhcmFtIGZyYW1ld29yazogICAgICAgVGhlIGZyYW1ld29yayB0byB1c2UsIGVpdGhlciBgInB0ImAgZm9yIFB5VG9yY2ggb3IgYCJ0ZiJgIGZvciBUZW5zb3JGbG93LiBUaGUgc3BlY2lmaWVkCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgZnJhbWV3b3JrIG11c3QgYmUgaW5zdGFsbGVkLgogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIElmIG5vIGZyYW1ld29yayBpcyBzcGVjaWZpZWQsIHdpbGwgZGVmYXVsdCB0byB0aGUgb25lIGN1cnJlbnRseSBpbnN0YWxsZWQuCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgSWYgbm8gZnJhbWV3b3JrIGlzIHNwZWNpZmllZCBhbmQgYm90aCBmcmFtZXdvcmtzIGFyZSBpbnN0YWxsZWQsIHdpbGwgZGVmYXVsdCB0byB0aGUKICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICBmcmFtZXdvcmsgb2YgdGhlIGBtb2RlbGAsIG9yIHRvIFB5VG9yY2ggaWYgbm8gbW9kZWwgaXMgcHJvdmlkZWQuCiAgICAgICAgOnBhcmFtIGNsYXNzX2FyZ3M6ICAgICAgLQogICAgICAgICIiIgogICAgICAgIHN1cGVyKEh1Z2dpbmdGYWNlTW9kZWxTZXJ2ZXIsIHNlbGYpLl9faW5pdF9fKAogICAgICAgICAgICBjb250ZXh0PWNvbnRleHQsCiAgICAgICAgICAgIG5hbWU9bmFtZSwKICAgICAgICAgICAgbW9kZWxfcGF0aD1tb2RlbF9wYXRoLAogICAgICAgICAgICAqKmNsYXNzX2FyZ3MsCiAgICAgICAgKQogICAgICAgIHNlbGYudGFzayA9IHRhc2sKICAgICAgICBzZWxmLm1vZGVsID0gTm9uZQogICAgICAgIHNlbGYudG9rZW5pemVyID0gTm9uZQogICAgICAgIHNlbGYubW9kZWxfbmFtZSA9IG1vZGVsX25hbWUKICAgICAgICBzZWxmLnRva2VuaXplcl9uYW1lID0gdG9rZW5pemVyX25hbWUKICAgICAgICBzZWxmLm1vZGVsX2NsYXNzID0gbW9kZWxfY2xhc3MKICAgICAgICBzZWxmLnRva2VuaXplcl9jbGFzcyA9IHRva2VuaXplcl9jbGFzcwogICAgICAgIHNlbGYuZnJhbWV3b3JrID0gZnJhbWV3b3JrCiAgICAgICAgc2VsZi5waXBlID0gTm9uZQoKICAgIGRlZiBsb2FkKHNlbGYpOgogICAgICAgICIiImxvYWQgYW5kIGluaXRpYWxpemUgdGhlIG1vZGVsIGFuZC9vciBvdGhlciBlbGVtZW50cyIiIgogICAgICAgIGlmIHNlbGYubW9kZWxfY2xhc3M6CiAgICAgICAgICAgIG1vZGVsX29iamVjdCA9IGdldGF0dHIoaW1wb3J0X21vZHVsZShQQUNLQUdFX01PRFVMRSksIHNlbGYubW9kZWxfY2xhc3MpCiAgICAgICAgICAgIHNlbGYubW9kZWwgPSBtb2RlbF9vYmplY3QuZnJvbV9wcmV0cmFpbmVkKHNlbGYubW9kZWxfbmFtZSkKICAgICAgICBpZiBzZWxmLnRva2VuaXplcl9jbGFzczoKICAgICAgICAgICAgdG9rZW5pemVyX29iamVjdCA9IGdldGF0dHIoCiAgICAgICAgICAgICAgICBpbXBvcnRfbW9kdWxlKFBBQ0tBR0VfTU9EVUxFKSwgc2VsZi50b2tlbml6ZXJfY2xhc3MKICAgICAgICAgICAgKQogICAgICAgICAgICBzZWxmLnRva2VuaXplciA9IHRva2VuaXplcl9vYmplY3QuZnJvbV9wcmV0cmFpbmVkKHNlbGYudG9rZW5pemVyX25hbWUpCiAgICAgICAgc2VsZi5waXBlID0gcGlwZWxpbmUoCiAgICAgICAgICAgIHRhc2s9c2VsZi50YXNrLAogICAgICAgICAgICBtb2RlbD1zZWxmLm1vZGVsIG9yIHNlbGYubW9kZWxfbmFtZSwKICAgICAgICAgICAgdG9rZW5pemVyPXNlbGYudG9rZW5pemVyLAogICAgICAgICAgICBmcmFtZXdvcms9c2VsZi5mcmFtZXdvcmssCiAgICAgICAgKQoKICAgIGRlZiBwcmVkaWN0KHNlbGYsIGJvZHk6IGRpY3QpIC0+IExpc3Q6CiAgICAgICAgIiIiR2VuZXJhdGUgbW9kZWwgcHJlZGljdGlvbnMgZnJvbSBzYW1wbGUuIiIiCiAgICAgICAgaWYgc2VsZi5waXBlIGlzIE5vbmU6CiAgICAgICAgICAgIHJhaXNlIFZhbHVlRXJyb3IoIlBsZWFzZSB1c2UgYC5sb2FkKClgIikKICAgICAgICB0cnk6CiAgICAgICAgICAgIGlmIGlzaW5zdGFuY2UoYm9keVsiaW5wdXRzIl1bMF0sIGRpY3QpOgogICAgICAgICAgICAgICAgcmVzdWx0ID0gW3NlbGYucGlwZSgqKl9pbnB1dCkgZm9yIF9pbnB1dCBpbiBib2R5WyJpbnB1dHMiXV0KICAgICAgICAgICAgZWxzZToKICAgICAgICAgICAgICAgIHJlc3VsdCA9IHNlbGYucGlwZShib2R5WyJpbnB1dHMiXSkKICAgICAgICAgICAgIyByZXBsYWNlIGxpc3Qgb2YgbGlzdHMgb2YgZGljdHMgaW50byBhIGxpc3Qgb2YgZGljdHM6CiAgICAgICAgICAgIGlmIGFsbChpc2luc3RhbmNlKHJlcywgbGlzdCkgZm9yIHJlcyBpbiByZXN1bHQpOgogICAgICAgICAgICAgICAgbmV3X3Jlc3VsdCA9IFtyZXNbMF0gZm9yIHJlcyBpbiByZXN1bHRdCiAgICAgICAgICAgICAgICByZXN1bHQgPSBuZXdfcmVzdWx0CgogICAgICAgICAgICBub25fc2VyaWFsaXphYmxlX3R5cGVzID0gW10KICAgICAgICAgICAgZm9yIHJlcyBpbiByZXN1bHQ6CiAgICAgICAgICAgICAgICBmb3Iga2V5LCB2YWwgaW4gcmVzLml0ZW1zKCk6CiAgICAgICAgICAgICAgICAgICAgaWYgdHlwZSh2YWwpIG5vdCBpbiBTRVJJQUxJWkFCTEVfVFlQRVM6CiAgICAgICAgICAgICAgICAgICAgICAgIG5vbl9zZXJpYWxpemFibGVfdHlwZXMuYXBwZW5kKHN0cih0eXBlKHZhbCkpKQogICAgICAgICAgICAgICAgICAgICAgICByZXNba2V5XSA9IHN0cih2YWwpCiAgICAgICAgICAgIGlmIG5vbl9zZXJpYWxpemFibGVfdHlwZXM6CiAgICAgICAgICAgICAgICBzZWxmLmNvbnRleHQubG9nZ2VyLmluZm8oCiAgICAgICAgICAgICAgICAgICAgZiJOb24tc2VyaWFsaXphYmxlIHR5cGVzOiB7bm9uX3NlcmlhbGl6YWJsZV90eXBlc30gd2VyZSBjYXN0ZWQgdG8gc3RyaW5ncyIKICAgICAgICAgICAgICAgICkKICAgICAgICBleGNlcHQgRXhjZXB0aW9uIGFzIGU6CiAgICAgICAgICAgIHJhaXNlIEV4Y2VwdGlvbigiRmFpbGVkIHRvIHByZWRpY3QgJXMiICUgZSkKICAgICAgICByZXR1cm4gcmVzdWx0Cgpmcm9tIG1scnVuLnJ1bnRpbWVzIGltcG9ydCBudWNsaW9faW5pdF9ob29rCmRlZiBpbml0X2NvbnRleHQoY29udGV4dCk6CiAgICBudWNsaW9faW5pdF9ob29rKGNvbnRleHQsIGdsb2JhbHMoKSwgJ3NlcnZpbmdfdjInKQoKZGVmIGhhbmRsZXIoY29udGV4dCwgZXZlbnQpOgogICAgcmV0dXJuIGNvbnRleHQubWxydW5faGFuZGxlcihjb250ZXh0LCBldmVudCkK
+    commands: []
+    code_origin: ''
+    origin_filename: ''
+    requirements:
+    - transformers==4.21.3
+    - tensorflow==2.9.2
+  description: Generic Hugging Face model server.
+  default_handler: ''
+  disable_auto_mount: false
+  clone_target_dir: ''
+  env:
+  - name: MLRUN_HTTPDB__NUCLIO__EXPLICIT_ACK
+    value: enabled
+  priority_class_name: ''
+  preemption_mode: prevent
+  min_replicas: 1
+  max_replicas: 4
+  source: ''
+  function_kind: serving_v2
+  function_handler: hugging_face_serving:handler
+  base_image_pull: false
+  default_class: HuggingFaceModelServer
+  secret_sources: []
+  affinity: null
+  tolerations: null
+  security_context: {}
+verbose: false
+
+        </code>
+    </pre>
+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/hugging_face_serving/1.1.0/static/hugging_face_serving.html b/functions/master/hugging_face_serving/1.1.0/static/hugging_face_serving.html
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--- /dev/null
+++ b/functions/master/hugging_face_serving/1.1.0/static/hugging_face_serving.html
@@ -0,0 +1,269 @@
+
+<!DOCTYPE html>
+
+<html lang="en">
+<head>
+<meta charset="utf-8"/>
+<meta content="width=device-width, initial-scale=1.0" name="viewport"/>
+<title>hugging_face_serving.hugging_face_serving</title>
+<!-- Loaded before other Sphinx assets -->
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+<h1>Source code for hugging_face_serving.hugging_face_serving</h1><div class="highlight"><pre>
+<span></span><span class="c1"># Copyright 2019 Iguazio</span>
+<span class="c1">#</span>
+<span class="c1"># Licensed under the Apache License, Version 2.0 (the "License");</span>
+<span class="c1"># you may not use this file except in compliance with the License.</span>
+<span class="c1"># You may obtain a copy of the License at</span>
+<span class="c1">#</span>
+<span class="c1">#     http://www.apache.org/licenses/LICENSE-2.0</span>
+<span class="c1">#</span>
+<span class="c1"># Unless required by applicable law or agreed to in writing, software</span>
+<span class="c1"># distributed under the License is distributed on an "AS IS" BASIS,</span>
+<span class="c1"># WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.</span>
+<span class="c1"># See the License for the specific language governing permissions and</span>
+<span class="c1"># limitations under the License.</span>
+<span class="c1">#</span>
+
+<span class="kn">from</span> <span class="nn">abc</span> <span class="kn">import</span> <span class="n">ABC</span>
+<span class="kn">from</span> <span class="nn">importlib</span> <span class="kn">import</span> <span class="n">import_module</span>
+<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">List</span>
+
+<span class="kn">from</span> <span class="nn">transformers</span> <span class="kn">import</span> <span class="n">pipeline</span>
+
+<span class="kn">import</span> <span class="nn">mlrun.serving</span>
+
+<span class="n">PACKAGE_MODULE</span> <span class="o">=</span> <span class="s2">"transformers"</span>
+<span class="n">SERIALIZABLE_TYPES</span> <span class="o">=</span> <span class="p">[</span><span class="nb">dict</span><span class="p">,</span> <span class="nb">list</span><span class="p">,</span> <span class="nb">tuple</span><span class="p">,</span> <span class="nb">str</span><span class="p">,</span> <span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">]</span>
+
+
+<div class="viewcode-block" id="HuggingFaceModelServer"><a class="viewcode-back" href="documentation.html#hugging_face_serving.hugging_face_serving.HuggingFaceModelServer">[docs]</a><span class="k">class</span> <span class="nc">HuggingFaceModelServer</span><span class="p">(</span><span class="n">mlrun</span><span class="o">.</span><span class="n">serving</span><span class="o">.</span><span class="n">V2ModelServer</span><span class="p">,</span> <span class="n">ABC</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    Hugging Face Model serving class, inheriting the V2ModelServer class for being initialized automatically by the</span>
+<span class="sd">    model server and be able to run locally as part of a nuclio serverless function, or as part of a real-time pipeline.</span>
+<span class="sd">    """</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">context</span><span class="p">:</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">MLClientCtx</span><span class="p">,</span>
+        <span class="n">name</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
+        <span class="n">task</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
+        <span class="n">model_path</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+        <span class="n">model_name</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+        <span class="n">model_class</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+        <span class="n">tokenizer_name</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+        <span class="n">tokenizer_class</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+        <span class="n">framework</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+        <span class="o">**</span><span class="n">class_args</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Initialize a serving class for a Hugging face model.</span>
+
+<span class="sd">        :param context:         The mlrun context to work with</span>
+<span class="sd">        :param name:            The name of this server to be initialized</span>
+<span class="sd">        :param model_path:      Not in use. When adding a model pass any string value</span>
+<span class="sd">        :param model_name:      The model's name in the Hugging Face hub</span>
+<span class="sd">                                e.g., `nlptown/bert-base-multilingual-uncased-sentiment`</span>
+<span class="sd">        :param model_class:     The model's class type object which can be passed as the class's name (string).</span>
+<span class="sd">                                Must be provided and to be matched with `model_name`.</span>
+<span class="sd">                                e.g., `AutoModelForSequenceClassification`</span>
+<span class="sd">        :param tokenizer_name:  The tokenizer's name in the Hugging Face hub</span>
+<span class="sd">                                e.g., `nlptown/bert-base-multilingual-uncased-sentiment`</span>
+<span class="sd">        :param tokenizer_class: The model's class type object which can be passed as the class's name (string).</span>
+<span class="sd">                                Must be provided and to be matched with `model_name`.</span>
+<span class="sd">                                e.g., `AutoTokenizer`</span>
+<span class="sd">        :param framework:       The framework to use, either `"pt"` for PyTorch or `"tf"` for TensorFlow. The specified</span>
+<span class="sd">                                framework must be installed.</span>
+<span class="sd">                                If no framework is specified, will default to the one currently installed.</span>
+<span class="sd">                                If no framework is specified and both frameworks are installed, will default to the</span>
+<span class="sd">                                framework of the `model`, or to PyTorch if no model is provided.</span>
+<span class="sd">        :param class_args:      -</span>
+<span class="sd">        """</span>
+        <span class="nb">super</span><span class="p">(</span><span class="n">HuggingFaceModelServer</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span>
+            <span class="n">context</span><span class="o">=</span><span class="n">context</span><span class="p">,</span>
+            <span class="n">name</span><span class="o">=</span><span class="n">name</span><span class="p">,</span>
+            <span class="n">model_path</span><span class="o">=</span><span class="n">model_path</span><span class="p">,</span>
+            <span class="o">**</span><span class="n">class_args</span><span class="p">,</span>
+        <span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">task</span> <span class="o">=</span> <span class="n">task</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">model</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">tokenizer</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">model_name</span> <span class="o">=</span> <span class="n">model_name</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">tokenizer_name</span> <span class="o">=</span> <span class="n">tokenizer_name</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">model_class</span> <span class="o">=</span> <span class="n">model_class</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">tokenizer_class</span> <span class="o">=</span> <span class="n">tokenizer_class</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">framework</span> <span class="o">=</span> <span class="n">framework</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">pipe</span> <span class="o">=</span> <span class="kc">None</span>
+
+<div class="viewcode-block" id="HuggingFaceModelServer.load"><a class="viewcode-back" href="documentation.html#hugging_face_serving.hugging_face_serving.HuggingFaceModelServer.load">[docs]</a>    <span class="k">def</span> <span class="nf">load</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">"""load and initialize the model and/or other elements"""</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">model_class</span><span class="p">:</span>
+            <span class="n">model_object</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">import_module</span><span class="p">(</span><span class="n">PACKAGE_MODULE</span><span class="p">),</span> <span class="bp">self</span><span class="o">.</span><span class="n">model_class</span><span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">model</span> <span class="o">=</span> <span class="n">model_object</span><span class="o">.</span><span class="n">from_pretrained</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">model_name</span><span class="p">)</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">tokenizer_class</span><span class="p">:</span>
+            <span class="n">tokenizer_object</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span>
+                <span class="n">import_module</span><span class="p">(</span><span class="n">PACKAGE_MODULE</span><span class="p">),</span> <span class="bp">self</span><span class="o">.</span><span class="n">tokenizer_class</span>
+            <span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">tokenizer</span> <span class="o">=</span> <span class="n">tokenizer_object</span><span class="o">.</span><span class="n">from_pretrained</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">tokenizer_name</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">pipe</span> <span class="o">=</span> <span class="n">pipeline</span><span class="p">(</span>
+            <span class="n">task</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">task</span><span class="p">,</span>
+            <span class="n">model</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">model</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">model_name</span><span class="p">,</span>
+            <span class="n">tokenizer</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">tokenizer</span><span class="p">,</span>
+            <span class="n">framework</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">framework</span><span class="p">,</span>
+        <span class="p">)</span></div>
+
+<div class="viewcode-block" id="HuggingFaceModelServer.predict"><a class="viewcode-back" href="documentation.html#hugging_face_serving.hugging_face_serving.HuggingFaceModelServer.predict">[docs]</a>    <span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">body</span><span class="p">:</span> <span class="nb">dict</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">:</span>
+<span class="w">        </span><span class="sd">"""Generate model predictions from sample."""</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">pipe</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">"Please use `.load()`"</span><span class="p">)</span>
+        <span class="k">try</span><span class="p">:</span>
+            <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">body</span><span class="p">[</span><span class="s2">"inputs"</span><span class="p">][</span><span class="mi">0</span><span class="p">],</span> <span class="nb">dict</span><span class="p">):</span>
+                <span class="n">result</span> <span class="o">=</span> <span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">pipe</span><span class="p">(</span><span class="o">**</span><span class="n">_input</span><span class="p">)</span> <span class="k">for</span> <span class="n">_input</span> <span class="ow">in</span> <span class="n">body</span><span class="p">[</span><span class="s2">"inputs"</span><span class="p">]]</span>
+            <span class="k">else</span><span class="p">:</span>
+                <span class="n">result</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">pipe</span><span class="p">(</span><span class="n">body</span><span class="p">[</span><span class="s2">"inputs"</span><span class="p">])</span>
+            <span class="c1"># replace list of lists of dicts into a list of dicts:</span>
+            <span class="k">if</span> <span class="nb">all</span><span class="p">(</span><span class="nb">isinstance</span><span class="p">(</span><span class="n">res</span><span class="p">,</span> <span class="nb">list</span><span class="p">)</span> <span class="k">for</span> <span class="n">res</span> <span class="ow">in</span> <span class="n">result</span><span class="p">):</span>
+                <span class="n">new_result</span> <span class="o">=</span> <span class="p">[</span><span class="n">res</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="k">for</span> <span class="n">res</span> <span class="ow">in</span> <span class="n">result</span><span class="p">]</span>
+                <span class="n">result</span> <span class="o">=</span> <span class="n">new_result</span>
+
+            <span class="n">non_serializable_types</span> <span class="o">=</span> <span class="p">[]</span>
+            <span class="k">for</span> <span class="n">res</span> <span class="ow">in</span> <span class="n">result</span><span class="p">:</span>
+                <span class="k">for</span> <span class="n">key</span><span class="p">,</span> <span class="n">val</span> <span class="ow">in</span> <span class="n">res</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
+                    <span class="k">if</span> <span class="nb">type</span><span class="p">(</span><span class="n">val</span><span class="p">)</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">SERIALIZABLE_TYPES</span><span class="p">:</span>
+                        <span class="n">non_serializable_types</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="nb">str</span><span class="p">(</span><span class="nb">type</span><span class="p">(</span><span class="n">val</span><span class="p">)))</span>
+                        <span class="n">res</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="nb">str</span><span class="p">(</span><span class="n">val</span><span class="p">)</span>
+            <span class="k">if</span> <span class="n">non_serializable_types</span><span class="p">:</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">context</span><span class="o">.</span><span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                    <span class="sa">f</span><span class="s2">"Non-serializable types: </span><span class="si">{</span><span class="n">non_serializable_types</span><span class="si">}</span><span class="s2"> were casted to strings"</span>
+                <span class="p">)</span>
+        <span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
+            <span class="k">raise</span> <span class="ne">Exception</span><span class="p">(</span><span class="s2">"Failed to predict </span><span class="si">%s</span><span class="s2">"</span> <span class="o">%</span> <span class="n">e</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">result</span></div></div>
+</pre></div>
+</div>
+</main>
+<footer class="footer-article noprint">
+<!-- Previous / next buttons -->
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+<footer class="col footer"><p>
+  
+      © Copyright .<br/>
+</p>
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diff --git a/functions/master/hugging_face_serving/1.1.0/static/item.html b/functions/master/hugging_face_serving/1.1.0/static/item.html
new file mode 100644
index 00000000..6dc1e112
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+++ b/functions/master/hugging_face_serving/1.1.0/static/item.html
@@ -0,0 +1,53 @@
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta content="IE=edge" http-equiv="X-UA-Compatible">
+    <meta content="width=device-width, initial-scale=1.0" name="viewport">
+    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/styles/atom-one-dark.min.css">
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/highlight.min.js"></script>
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/languages/yaml.min.js"></script>
+    <title>Source</title>
+    <script>hljs.highlightAll();</script>
+</head>
+
+<body style="background-color:darkgray; margin: 0 0 0 0;">
+    <pre style="margin: 0 1em;">
+        <code class="yaml">
+apiVersion: v1
+categories:
+- huggingface
+- genai
+- model-serving
+- machine-learning
+description: Generic Hugging Face model server.
+doc: ''
+example: hugging_face_serving.ipynb
+generationDate: 2022-09-05:17-00
+hidden: false
+icon: ''
+labels:
+  author: yonish
+maintainers: []
+marketplaceType: ''
+mlrunVersion: 1.1.0
+name: hugging_face_serving
+platformVersion: ''
+spec:
+  customFields:
+    default_class: HuggingFaceModelServer
+  filename: hugging_face_serving.py
+  handler: handler
+  image: mlrun/ml-models
+  kind: serving
+  requirements:
+  - transformers==4.21.3
+  - tensorflow==2.9.2
+url: ''
+version: 1.1.0
+test_valid: false
+        </code>
+    </pre>
+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/hugging_face_serving/1.1.0/static/source.html b/functions/master/hugging_face_serving/1.1.0/static/source.html
new file mode 100644
index 00000000..2826f166
--- /dev/null
+++ b/functions/master/hugging_face_serving/1.1.0/static/source.html
@@ -0,0 +1,151 @@
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta content="IE=edge" http-equiv="X-UA-Compatible">
+    <meta content="width=device-width, initial-scale=1.0" name="viewport">
+    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/styles/atom-one-dark.min.css">
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/highlight.min.js"></script>
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/languages/python.min.js"></script>
+    <title>Source</title>
+    <script>hljs.highlightAll();</script>
+</head>
+
+<body style="background-color:darkgray; margin: 0 0 0 0;">
+    <pre style="margin: 0 1em;">
+        <code class="python">
+# Copyright 2019 Iguazio
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+from abc import ABC
+from importlib import import_module
+from typing import List
+
+from transformers import pipeline
+
+import mlrun.serving
+
+PACKAGE_MODULE = "transformers"
+SERIALIZABLE_TYPES = [dict, list, tuple, str, int, float]
+
+
+class HuggingFaceModelServer(mlrun.serving.V2ModelServer, ABC):
+    """
+    Hugging Face Model serving class, inheriting the V2ModelServer class for being initialized automatically by the
+    model server and be able to run locally as part of a nuclio serverless function, or as part of a real-time pipeline.
+    """
+
+    def __init__(
+        self,
+        context: mlrun.MLClientCtx,
+        name: str,
+        task: str,
+        model_path: str = None,
+        model_name: str = None,
+        model_class: str = None,
+        tokenizer_name: str = None,
+        tokenizer_class: str = None,
+        framework: str = None,
+        **class_args,
+    ):
+        """
+        Initialize a serving class for a Hugging face model.
+
+        :param context:         The mlrun context to work with
+        :param name:            The name of this server to be initialized
+        :param model_path:      Not in use. When adding a model pass any string value
+        :param model_name:      The model's name in the Hugging Face hub
+                                e.g., `nlptown/bert-base-multilingual-uncased-sentiment`
+        :param model_class:     The model's class type object which can be passed as the class's name (string).
+                                Must be provided and to be matched with `model_name`.
+                                e.g., `AutoModelForSequenceClassification`
+        :param tokenizer_name:  The tokenizer's name in the Hugging Face hub
+                                e.g., `nlptown/bert-base-multilingual-uncased-sentiment`
+        :param tokenizer_class: The model's class type object which can be passed as the class's name (string).
+                                Must be provided and to be matched with `model_name`.
+                                e.g., `AutoTokenizer`
+        :param framework:       The framework to use, either `"pt"` for PyTorch or `"tf"` for TensorFlow. The specified
+                                framework must be installed.
+                                If no framework is specified, will default to the one currently installed.
+                                If no framework is specified and both frameworks are installed, will default to the
+                                framework of the `model`, or to PyTorch if no model is provided.
+        :param class_args:      -
+        """
+        super(HuggingFaceModelServer, self).__init__(
+            context=context,
+            name=name,
+            model_path=model_path,
+            **class_args,
+        )
+        self.task = task
+        self.model = None
+        self.tokenizer = None
+        self.model_name = model_name
+        self.tokenizer_name = tokenizer_name
+        self.model_class = model_class
+        self.tokenizer_class = tokenizer_class
+        self.framework = framework
+        self.pipe = None
+
+    def load(self):
+        """load and initialize the model and/or other elements"""
+        if self.model_class:
+            model_object = getattr(import_module(PACKAGE_MODULE), self.model_class)
+            self.model = model_object.from_pretrained(self.model_name)
+        if self.tokenizer_class:
+            tokenizer_object = getattr(
+                import_module(PACKAGE_MODULE), self.tokenizer_class
+            )
+            self.tokenizer = tokenizer_object.from_pretrained(self.tokenizer_name)
+        self.pipe = pipeline(
+            task=self.task,
+            model=self.model or self.model_name,
+            tokenizer=self.tokenizer,
+            framework=self.framework,
+        )
+
+    def predict(self, body: dict) -> List:
+        """Generate model predictions from sample."""
+        if self.pipe is None:
+            raise ValueError("Please use `.load()`")
+        try:
+            if isinstance(body["inputs"][0], dict):
+                result = [self.pipe(**_input) for _input in body["inputs"]]
+            else:
+                result = self.pipe(body["inputs"])
+            # replace list of lists of dicts into a list of dicts:
+            if all(isinstance(res, list) for res in result):
+                new_result = [res[0] for res in result]
+                result = new_result
+
+            non_serializable_types = []
+            for res in result:
+                for key, val in res.items():
+                    if type(val) not in SERIALIZABLE_TYPES:
+                        non_serializable_types.append(str(type(val)))
+                        res[key] = str(val)
+            if non_serializable_types:
+                self.context.logger.info(
+                    f"Non-serializable types: {non_serializable_types} were casted to strings"
+                )
+        except Exception as e:
+            raise Exception("Failed to predict %s" % e)
+        return result
+
+        </code>
+    </pre>
+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/hugging_face_serving/latest/src/function.yaml b/functions/master/hugging_face_serving/latest/src/function.yaml
index e1bb3b0c..764fc1cf 100644
--- a/functions/master/hugging_face_serving/latest/src/function.yaml
+++ b/functions/master/hugging_face_serving/latest/src/function.yaml
@@ -2,11 +2,13 @@ kind: serving
 metadata:
   name: hugging-face-serving
   tag: ''
-  hash: 39bfca7b639022fa03f5ca87f85f9e17fc837b70
+  hash: 1a489a57da861f129eb26e933f34e58927e41195
   project: ''
   labels:
     author: yonish
   categories:
+  - huggingface
+  - genai
   - model-serving
   - machine-learning
 spec:
@@ -14,37 +16,28 @@ spec:
   args: []
   image: mlrun/ml-models
   build:
-    commands:
-    - python -m pip install transformers==4.21.3 tensorflow==2.9.2
-    code_origin: https://github.com/mlrun/functions.git#250244b2527c5ce8a82438b4340df34de6e19dc3:/Users/yonatanshelach/yoni/projects/functions/hugging_face_serving/hugging_face_serving.py
-    origin_filename: /Users/yonatanshelach/yoni/projects/functions/hugging_face_serving/hugging_face_serving.py
+    functionSourceCode: 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
+    commands: []
+    code_origin: ''
+    origin_filename: ''
+    requirements:
+    - transformers==4.21.3
+    - tensorflow==2.9.2
   description: Generic Hugging Face model server.
-  default_handler: handler
+  default_handler: ''
   disable_auto_mount: false
-  env: []
+  clone_target_dir: ''
+  env:
+  - name: MLRUN_HTTPDB__NUCLIO__EXPLICIT_ACK
+    value: enabled
   priority_class_name: ''
   preemption_mode: prevent
   min_replicas: 1
   max_replicas: 4
-  base_spec:
-    apiVersion: nuclio.io/v1
-    kind: Function
-    metadata:
-      name: hugging-face-serving
-      labels: {}
-      annotations:
-        nuclio.io/generated_by: function generated from /Users/yonatanshelach/yoni/projects/functions/hugging_face_serving/hugging_face_serving.py
-    spec:
-      runtime: python
-      handler: hugging_face_serving:handler
-      env: []
-      volumes: []
-      build:
-        commands: []
-        noBaseImagesPull: true
-        functionSourceCode: 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
   source: ''
   function_kind: serving_v2
+  function_handler: hugging_face_serving:handler
+  base_image_pull: false
   default_class: HuggingFaceModelServer
   secret_sources: []
   affinity: null
diff --git a/functions/master/hugging_face_serving/latest/src/item.yaml b/functions/master/hugging_face_serving/latest/src/item.yaml
index f7fa9263..d1f78769 100644
--- a/functions/master/hugging_face_serving/latest/src/item.yaml
+++ b/functions/master/hugging_face_serving/latest/src/item.yaml
@@ -1,5 +1,7 @@
 apiVersion: v1
 categories:
+- huggingface
+- genai
 - model-serving
 - machine-learning
 description: Generic Hugging Face model server.
@@ -26,4 +28,5 @@ spec:
   - transformers==4.21.3
   - tensorflow==2.9.2
 url: ''
-version: 1.0.0
+version: 1.1.0
+test_valid: false
\ No newline at end of file
diff --git a/functions/master/hugging_face_serving/latest/static/function.html b/functions/master/hugging_face_serving/latest/static/function.html
index c155e675..5163d6a0 100644
--- a/functions/master/hugging_face_serving/latest/static/function.html
+++ b/functions/master/hugging_face_serving/latest/static/function.html
@@ -19,11 +19,13 @@
 metadata:
   name: hugging-face-serving
   tag: ''
-  hash: 39bfca7b639022fa03f5ca87f85f9e17fc837b70
+  hash: 1a489a57da861f129eb26e933f34e58927e41195
   project: ''
   labels:
     author: yonish
   categories:
+  - huggingface
+  - genai
   - model-serving
   - machine-learning
 spec:
@@ -31,37 +33,28 @@
   args: []
   image: mlrun/ml-models
   build:
-    commands:
-    - python -m pip install transformers==4.21.3 tensorflow==2.9.2
-    code_origin: https://github.com/mlrun/functions.git#250244b2527c5ce8a82438b4340df34de6e19dc3:/Users/yonatanshelach/yoni/projects/functions/hugging_face_serving/hugging_face_serving.py
-    origin_filename: /Users/yonatanshelach/yoni/projects/functions/hugging_face_serving/hugging_face_serving.py
+    functionSourceCode: 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+    commands: []
+    code_origin: ''
+    origin_filename: ''
+    requirements:
+    - transformers==4.21.3
+    - tensorflow==2.9.2
   description: Generic Hugging Face model server.
-  default_handler: handler
+  default_handler: ''
   disable_auto_mount: false
-  env: []
+  clone_target_dir: ''
+  env:
+  - name: MLRUN_HTTPDB__NUCLIO__EXPLICIT_ACK
+    value: enabled
   priority_class_name: ''
   preemption_mode: prevent
   min_replicas: 1
   max_replicas: 4
-  base_spec:
-    apiVersion: nuclio.io/v1
-    kind: Function
-    metadata:
-      name: hugging-face-serving
-      labels: {}
-      annotations:
-        nuclio.io/generated_by: function generated from /Users/yonatanshelach/yoni/projects/functions/hugging_face_serving/hugging_face_serving.py
-    spec:
-      runtime: python
-      handler: hugging_face_serving:handler
-      env: []
-      volumes: []
-      build:
-        commands: []
-        noBaseImagesPull: true
-        functionSourceCode: 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
   source: ''
   function_kind: serving_v2
+  function_handler: hugging_face_serving:handler
+  base_image_pull: false
   default_class: HuggingFaceModelServer
   secret_sources: []
   affinity: null
diff --git a/functions/master/hugging_face_serving/latest/static/item.html b/functions/master/hugging_face_serving/latest/static/item.html
index 70d12db6..6dc1e112 100644
--- a/functions/master/hugging_face_serving/latest/static/item.html
+++ b/functions/master/hugging_face_serving/latest/static/item.html
@@ -17,6 +17,8 @@
         <code class="yaml">
 apiVersion: v1
 categories:
+- huggingface
+- genai
 - model-serving
 - machine-learning
 description: Generic Hugging Face model server.
@@ -43,8 +45,8 @@
   - transformers==4.21.3
   - tensorflow==2.9.2
 url: ''
-version: 1.0.0
-
+version: 1.1.0
+test_valid: false
         </code>
     </pre>
 </body>
diff --git a/functions/master/huggingface_auto_trainer/1.1.0/src/function.yaml b/functions/master/huggingface_auto_trainer/1.1.0/src/function.yaml
new file mode 100644
index 00000000..702a8401
--- /dev/null
+++ b/functions/master/huggingface_auto_trainer/1.1.0/src/function.yaml
@@ -0,0 +1,327 @@
+kind: job
+metadata:
+  name: huggingface-auto-trainer
+  tag: ''
+  hash: 55c9aa4a822780f7388819ccf633dfe26b31f02e
+  project: ''
+  labels:
+    author: Zeevr
+  categories:
+  - huggingface
+  - genai
+  - machine-learning
+  - model-training
+spec:
+  command: ''
+  args: []
+  image: mlrun/mlrun
+  build:
+    functionSourceCode: import importlib
import os
import shutil
import tempfile
import zipfile
from abc import ABC
from typing import Dict, List, Tuple, Union

import mlrun
import numpy as np
import pandas as pd
import peft
import torch
import transformers
from datasets import Dataset, load_dataset
from mlrun.artifacts.manager import Artifact, PlotlyArtifact
from mlrun.datastore import is_store_uri
from mlrun.frameworks._common import CommonTypes, MLRunInterface
from mlrun.utils import logger
from peft import (LoraConfig, PeftModel, get_peft_model,
                  prepare_model_for_kbit_training)
from plotly import graph_objects as go
from transformers import (AutoModelForCausalLM, AutoTokenizer,
                          BitsAndBytesConfig, DataCollatorForLanguageModeling,
                          PreTrainedModel, PreTrainedTokenizer, Trainer,
                          TrainerCallback, TrainerControl, TrainerState,
                          TrainingArguments)

supported_tasks = [
    "question-answering",
    "summarization",
    "table-question-answering",
    "text2text-generation",
    "text-classification",
    "sentiment-analysis",
    "text-generation",
    "token-classification",
    "translation",
    "translation_xx_to_yy",
]


class ConfigKeys:
    deepspeed = "deepspeed"
    quantization = "quantization"
    lora = "lora"
    training = "training"
    tokenizer_pretrained = "tokenizer_pretrained"
    model_pretrained = "model_pretrained"
    data_collator = "data_collator"


# ----------------------from MLRUN--------------------------------
class HFTrainerMLRunInterface(MLRunInterface, ABC):
    """
    This is temporary and will be built in mlrun 1.5.0
    Interface for adding MLRun features for tensorflow keras API.
    """

    # MLRuns context default name:
    DEFAULT_CONTEXT_NAME = "mlrun-huggingface"

    # Attributes to replace so the MLRun interface will be fully enabled.
    _REPLACED_METHODS = [
        "train",
        # "evaluate"
    ]

    @classmethod
    def add_interface(
        cls,
        obj: Trainer,
        restoration: CommonTypes.MLRunInterfaceRestorationType = None,
    ):
        super(HFTrainerMLRunInterface, cls).add_interface(
            obj=obj, restoration=restoration
        )

    @classmethod
    def mlrun_train(cls):
        def wrapper(self: Trainer, *args, **kwargs):
            # Restore the evaluation method as `train` will use it:
            # cls._restore_attribute(obj=self, attribute_name="evaluate")

            # Call the original fit method:
            result = self.original_train(*args, **kwargs)

            # Replace the evaluation method again:
            # cls._replace_function(obj=self, function_name="evaluate")

            return result

        return wrapper


class MLRunCallback(TrainerCallback):
    """
    This is temporary and will be built in mlrun 1.5.0
    Callback for collecting logs during training / evaluation of the `Trainer` API.
    """

    def __init__(
        self,
        context: mlrun.MLClientCtx = None,
        model_name: str = "model",
        tag: str = "",
        labels: Dict[str, str] = None,
        extra_data: dict = None,
    ):
        super().__init__()

        # Store the configurations:
        self._context = (
            context
            if context is not None
            else mlrun.get_or_create_ctx("./mlrun-huggingface")
        )
        self._model_name = model_name
        self._tag = tag
        self._labels = labels
        self._extra_data = extra_data if extra_data is not None else {}

        # Set up the logging mode:
        self._is_training = False
        self._steps: List[List[int]] = []
        self._metric_scores: Dict[str, List[float]] = {}
        self._artifacts: Dict[str, Artifact] = {}

    def on_epoch_begin(
        self,
        args: TrainingArguments,
        state: TrainerState,
        control: TrainerControl,
        **kwargs,
    ):
        if not state.is_world_process_zero:
            return
        self._steps.append([])

    def on_epoch_end(
        self,
        args: TrainingArguments,
        state: TrainerState,
        control: TrainerControl,
        **kwargs,
    ):
        if not state.is_world_process_zero:
            return
        self.log_metrics()

    def on_log(
        self,
        args: TrainingArguments,
        state: TrainerState,
        control: TrainerControl,
        logs: Dict[str, float] = None,
        **kwargs,
    ):
        if not state.is_world_process_zero:
            return
        recent_logs = state.log_history[-1].copy()

        recent_logs.pop("epoch")
        current_step = int(recent_logs.pop("step"))
        if current_step not in self._steps[-1]:
            self._steps[-1].append(current_step)

        for metric_name, metric_score in recent_logs.items():
            if metric_name.startswith("train_"):
                if metric_name.split("train_")[1] not in self._metric_scores:
                    self._metric_scores[metric_name] = [metric_score]
                continue
            if metric_name not in self._metric_scores:
                self._metric_scores[metric_name] = []
            self._metric_scores[metric_name].append(metric_score)

    def on_train_begin(
        self,
        args: TrainingArguments,
        state: TrainerState,
        control: TrainerControl,
        **kwargs,
    ):
        if not state.is_world_process_zero:
            return
        self._is_training = True

    def on_train_end(
        self,
        args: TrainingArguments,
        state: TrainerState,
        control: TrainerControl,
        model: PreTrainedModel = None,
        tokenizer: PreTrainedTokenizer = None,
        **kwargs,
    ):
        if not state.is_world_process_zero:
            return
        self.log_metrics()

    def on_evaluate(
        self,
        args: TrainingArguments,
        state: TrainerState,
        control: TrainerControl,
        **kwargs,
    ):
        if not state.is_world_process_zero:
            return
        self.log_metrics()

        if self._is_training:
            return

    def log_metrics(self):
        for metric_name, metric_scores in self._metric_scores.items():
            self._context.log_result(key=metric_name, value=metric_scores[-1])
            if len(metric_scores) > 1:
                self.log_metric_plot(name=metric_name, scores=metric_scores)
        self._context.commit(completed=False)

    def log_metric_plot(self, name: str, scores: List[float]):
        # Initialize a plotly figure:
        metric_figure = go.Figure()

        # Add titles:
        metric_figure.update_layout(
            title=name.capitalize().replace("_", " "),
            xaxis_title="Samples",
            yaxis_title="Scores",
        )

        # Draw:
        metric_figure.add_trace(
            go.Scatter(x=np.arange(len(scores)), y=scores, mode="lines")
        )

        # Create the plotly artifact:
        artifact_name = f"{name}_plot"
        artifact = PlotlyArtifact(key=artifact_name, figure=metric_figure)
        self._artifacts[artifact_name] = self._context.log_artifact(artifact)


def apply_mlrun(
    trainer: transformers.Trainer,
    model_name: str = None,
    tag: str = "",
    context: mlrun.MLClientCtx = None,
    auto_log: bool = True,
    labels: Dict[str, str] = None,
    extra_data: dict = None,
    **kwargs,
):
    """
    This is temporary and will be built in mlrun 1.5.0
    """
    # Get parameters defaults:
    if context is None:
        context = mlrun.get_or_create_ctx(HFTrainerMLRunInterface.DEFAULT_CONTEXT_NAME)

    HFTrainerMLRunInterface.add_interface(obj=trainer)

    if auto_log:
        trainer.add_callback(
            MLRunCallback(
                context=context,
                model_name=model_name,
                tag=tag,
                labels=labels,
                extra_data=extra_data,
            )
        )


# ----------------------end from MLRUN--------------------------------


def _print_trainable_parameters(model):
    """
    Prints the number of trainable parameters in the model.
    """
    trainable_params = 0
    all_param = 0
    for _, param in model.named_parameters():
        all_param += param.numel()
        if param.requires_grad:
            trainable_params += param.numel()
    print(
        f"trainable params: {trainable_params} || all params: {all_param} || trainable%:"
        f" {100 * trainable_params / all_param}"
    )


# default configs
# will be used if user provides "True" with config name as input
QUANTIZATION_CONFIG = transformers.BitsAndBytesConfig(
    load_in_4bit=True,
    bnb_4bit_use_double_quant=True,
    bnb_4bit_quant_type="nf4",
    bnb_4bit_compute_dtype=torch.bfloat16,
)

LORA_CONFIG = peft.LoraConfig(
    r=8,
    lora_alpha=32,
    target_modules=["query_key_value"],
    lora_dropout=0.05,
    bias="none",
    task_type="CAUSAL_LM",
)

DEEPSPEED_CONFIG = {
    "train_micro_batch_size_per_gpu": "auto",
    "fp16": {"enabled": True},
    "autotuning": {
        "enabled": True,
        "arg_mappings": {
            "train_micro_batch_size_per_gpu": "--per_device_train_batch_size",
            "gradient_accumulation_steps ": "--gradient_accumulation_steps",
        },
    },
    "zero_optimization": {
        "stage": 2,
    },
}


def _update_config(src: dict, dst: dict):
    """
    update configs according to user, this way the user can add/modify values in default configs for e.g.

    goes over all configs and corresponding prefixes, collect all the keys from the given dict that start
     with the prefix and add them to appropriate config

    :param src: dict of all candidate values to update dict.
    :param dst: dict containing all configs to update.
    """

    for config_name, config in dst.items():

        # If given True we use default dict
        # Can also be False or a config dict given from user, so we check specifically fo True
        if config is True and config_name == "quantization":
            config = QUANTIZATION_CONFIG

        if config is True and config_name == "lora":
            config = LORA_CONFIG

        if config is True and config_name == "deepspeed":
            config = DEEPSPEED_CONFIG

        # in some cases we can get a boolean value, in that case no need to look for args
        if isinstance(config, bool):
            config = None

        elif isinstance(config, dict):
            for key, val in src.items():
                if key.startswith(config_name):
                    config[key.replace(f"{config_name}_", "")] = val

        # update by config name
        else:
            for key, val in src.items():
                if key.startswith(config_name):
                    setattr(config, key.replace(f"{config_name}_", ""), val)

        dst.update({config_name: config})


def _get_class_object(class_path: str) -> type:
    """
    given a full class name, this function returns the correct class

    :param class_path: a full class name (ex. 'transformers.AutoModelForCausalLM')

    :return the wanted class object
    """
    module_path, class_name = class_path.rsplit(".", 1)
    module = importlib.import_module(module_path)
    return getattr(module, class_name)


def _set_model_and_tokenizer(
    model: Union[str, List[str]],
    tokenizer: Union[str, List[str]],
    task: str,
    framework: str,
    lora_config: dict,
    quantization_config: dict,
    use_cuda: bool,
    tokenizer_pretrained_config,
    model_pretrained_config,
    device_map: str,
):
    """
    get the correct model and tokenizer according to given user inputs

    :param model: a tuple containing model name and class, or str with model name or path
    :param tokenizer: a tuple containing tokenizer name and class, or str with tokenizer name or path
    :param task: a supported nlp task, used to choose model if not provided
    :param framework: pt or tf
    :param lora_config: lora config or None, to load model in appropriate way
    :param quantization_config: quantization config or None, to load model in appropriate way
    :param use_cuda: use gpu or not
    :param tokenizer_pretrained_config: config to load the pretrained tokenizer
    :param model_pretrained_config: config to load the pretrained model
    :param device_map: a device map for model training if using number of gpu's

    :returns: model and tokenizer
    """
    # if task is not supported and no model was given we can't choose one
    if task and task not in supported_tasks and not model:
        logger.error("unsupported task option chosen")
        raise

    # load model from store
    if isinstance(model, str) and is_store_uri(model):
        pass
        # TODO: load both model and tokenizer and return, need guy's help

    # if it's a tuple them we assume it contains of both name and class
    if isinstance(model, list):
        model_name, model_class = model
        model_class = _get_class_object(model_class)

    # in the case we don't get the model class we need the task in order to choose the correct model
    else:
        if task is None:
            logger.error("task must be chosen in order to determine the correct model")
            raise Exception(
                "this function requires either a supported task or a model and model class to be chosen"
            )

        _, available_classes, task_options = transformers.pipelines.check_task(task)

        if isinstance(model, str):
            model_name = model

        # if model is not given, we take the default model for the given task
        else:
            model_name, _ = transformers.pipelines.get_default_model_and_revision(
                available_classes, framework, task_options
            )
        if not available_classes.get(framework, tuple()):
            logger.error(
                "given task's default model is not supported in specified framework"
            )
            raise Exception(
                "this function requires either a supported task or a model and model class to be chosen"
            )

        model_class = available_classes[framework][0]

    # load the pretrained model
    if use_cuda:
        device_map = device_map
    else:
        device_map = None

    model = model_class.from_pretrained(
        model_name,
        quantization_config=quantization_config,
        device_map=device_map,
        **model_pretrained_config,
    )

    # If quantization config is given we will load a quantized model, if not a regular one
    if quantization_config:
        model.gradient_checkpointing_enable()
        model = peft.prepare_model_for_kbit_training(model)

    # If lora config was given we want to do lora fine tune, we update model here
    if lora_config:
        model = peft.get_peft_model(model, lora_config)

    # if not specified we choose the default tokenizer that corresponding to the model
    if tokenizer is None:
        tokenizer = transformers.AutoTokenizer.from_pretrained(model_name)
        return model_name, model, tokenizer

    if isinstance(tokenizer, str):
        tokenizer_name = tokenizer
        tokenizer_class = transformers.AutoTokenizer

    # if it's not a str then it's a tuple of both name and class
    else:
        tokenizer_name, tokenizer_class = tokenizer
        tokenizer_class = _get_class_object(tokenizer_class)

    tokenizer = tokenizer_class.from_pretrained(
        tokenizer_name, **tokenizer_pretrained_config
    )

    tokenizer.pad_token = tokenizer.eos_token

    return model_name, model, tokenizer


def _dataset_loader(dataset: str, is_train: bool = True, **kwargs) -> Dataset:
    """
    loads the specific dataset provided by the user

    :param dataset: name or path of dataset to load
    :param is_train: bool that indicates the purpose of the dataset
    :param kwargs: other kwargs for loading the dataset

    :returns: loaded dataset
    """
    # if split in kwargs then the user decides how to split the dataset
    if "split" in kwargs:
        return load_dataset(dataset, **kwargs)

    # if it's a dataset for train we split with train
    if is_train:
        return load_dataset(dataset, split="train", **kwargs)

    # if it's eval dataset, then a lot of names are acceptable for the set and we check all of them
    dataset = load_dataset(dataset, **kwargs)
    if "test" in dataset:
        return dataset.get("test")
    elif "eval" in dataset:
        return dataset.get("eval")
    elif "validation" in dataset:
        return dataset.get("validation")


def _prepare_dataset(
    train_dataset: str,
    eval_dataset: str,
    train_load_dataset_kwargs,
    eval_load_dataset_kwargs,
    tokenizer,
    dataset_columns_to_train: Union[str, list],
) -> (Dataset, Union[Dataset, None]):
    """
    Loads the train and eval datasets (if provided) passes them through the tokenizer and
    returns them ready to use in training

    :param train_dataset: the name or path to the train dataset
    :param eval_dataset: the name or path to the eval dataset
    :param dataset_columns_to_train: which columns to pass to the model as inputs
                                        (need to pass through the tokenizer first)
    :param train_load_dataset_kwargs: kwargs for dataset loading
    :param eval_load_dataset_kwargs: kwargs for dataset loading
    :param tokenizer: the tokenizer to pass the data through

    :returns: tokenized datasets
    """
    if not tokenizer.pad_token:
        tokenizer.pad_token = tokenizer.eos_token

    # we take col name/s in a list for easy generalization
    if isinstance(dataset_columns_to_train, str):
        dataset_columns_to_train = [dataset_columns_to_train]

    if isinstance(train_dataset, mlrun.datastore.DataItem):
        train_dataset = Dataset.from_pandas(train_dataset.as_df())
        return (
            train_dataset.map(
                lambda examples: tokenizer(
                    *[examples[col] for col in dataset_columns_to_train],
                    truncation=True,
                    padding=True,
                ),
                batched=True,
            ),
            None,
        )

    # Load datasets
    # if provided two paths/names we load each separately using designated func
    if eval_dataset:
        train_dataset = _dataset_loader(
            dataset=train_dataset, is_train=True, **train_load_dataset_kwargs
        )
        eval_dataset = _dataset_loader(
            dataset=eval_dataset, is_train=False, **eval_load_dataset_kwargs
        )

    # if only on path is given then we must check if it contains both dataset or if only one should be used
    else:
        dataset = load_dataset(train_dataset, **train_load_dataset_kwargs)
        if "train" in dataset:
            train_dataset = dataset.get("train")
            if "test" in dataset:
                eval_dataset = dataset.get("test")
            elif "eval" in dataset:
                eval_dataset = dataset.get("eval")
            elif "validation" in dataset:
                eval_dataset = dataset.get("validation")
            else:
                # only train dataset given, tokenize and return it
                return (
                    train_dataset.map(
                        lambda examples: tokenizer(
                            *[examples[col] for col in dataset_columns_to_train],
                            truncation=True,
                            padding=True,
                        ),
                        batched=True,
                    ),
                    None,
                )
        else:
            logger.error("train dataset is mandatory")
            raise KeyError("no train dataset found in given dataset")

    # Tokenize the data so the model can understand it
    tokenized_train_dataset = train_dataset.map(
        lambda examples: tokenizer(
            *[examples[col] for col in dataset_columns_to_train],
            truncation=True,
            padding=True,
        ),
        batched=True,
    )

    tokenized_eval_dataset = eval_dataset.map(
        lambda examples: tokenizer(
            *[examples[col] for col in dataset_columns_to_train],
            truncation=True,
            padding=True,
        ),
        batched=True,
    )

    return tokenized_train_dataset, tokenized_eval_dataset


def finetune_llm(
    context: mlrun.MLClientCtx,
    train_dataset: Union[str, mlrun.datastore.DataItem],
    eval_dataset: str = None,
    train_load_dataset_kwargs: dict = {},
    eval_load_dataset_kwargs: dict = {},
    dataset_columns_to_train: Union[str, list] = "text",
    model: Union[str, List[str]] = "huggingface-model",
    tokenizer: Union[str, List[str]] = None,
    deepspeed_config: Union[dict, bool] = False,
    quantization_config: Union[dict, bool] = False,
    lora_config: Union[dict, bool] = False,
    training_config: dict = {},
    model_pretrained_config: dict = {},
    tokenizer_pretrained_config: dict = {},
    data_collator_config: dict = {},
    task: str = "text-generation",
    use_cuda: bool = True,
    framework: str = "pt",
    device_map: str = "auto",
    **kwargs,
):
    """
    Fine-tunes a Language Model (LLM) on a specific task using the provided dataset.
     The function takes various configuration parameters to customize the training process
     and adapt the model to specific tasks using a provided dataset.

    :param context: mlrun context in order to log trained model
    :param dataset_columns_to_train: which columns to pass to the model as inputs
    :param eval_load_dataset_kwargs: kwargs for dataset loading
    :param train_load_dataset_kwargs: kwargs for dataset loading
    :param framework: pt ot tf
    :param use_cuda: use gpu or not
    :param tokenizer_pretrained_config: config to load the pretrained tokenizer
    :param model_pretrained_config: config to load the pretrained model
    :param tokenizer: a tuple containing tokenizer name and class, or str with tokenizer name or path
    :param model: a tuple containing model name and class, or str with model name or path
    :param train_dataset: The train dataset used for fine-tuning the language model.
    :param eval_dataset: The eval dataset used for evaluate the language model during training.
    :param deepspeed_config: Configuration options for DeepSpeed (optional).
    :param quantization_config: Configuration options for model quantization (optional).
    :param lora_config: Configuration options for Low-Rank Approximation (LoRA) (optional).
    :param training_config: Configuration options specific to the fine-tuning training process (optional).
    :param data_collator_config: Configuration options for data collation during training (optional).
    :param task: A description of the specific task the model is being fine-tuned for.
    :param kwargs: Additional keyword arguments.
    """

    # TODO: match forward.keyword to dataset.keyword - check if relevant in new design
    # TODO: add warning for label, and add option to modify dataset col names - check if relevant in new design

    # Look for updates to configs given in kwargs
    configs = {
        ConfigKeys.deepspeed: deepspeed_config,
        ConfigKeys.quantization: quantization_config,
        ConfigKeys.lora: lora_config,
        ConfigKeys.training: training_config,
        ConfigKeys.model_pretrained: model_pretrained_config,
        ConfigKeys.tokenizer_pretrained: tokenizer_pretrained_config,
        ConfigKeys.data_collator: data_collator_config,
    }
    _update_config(dst=configs, src=kwargs)

    # check gpu permission and availability
    if use_cuda:
        if torch.cuda.is_available():
            # Clean gpu cache
            torch.cuda.empty_cache()
        else:
            logger.warning("'use_cuda' is set to True, but no cuda device is available")

    # get model and tokenizer
    model_name, model, tokenizer = _set_model_and_tokenizer(
        model=model,
        tokenizer=tokenizer,
        task=task,
        framework=framework,
        lora_config=configs[ConfigKeys.lora],
        quantization_config=configs[ConfigKeys.quantization],
        use_cuda=use_cuda,
        tokenizer_pretrained_config=tokenizer_pretrained_config,
        model_pretrained_config=configs[ConfigKeys.model_pretrained],
        device_map=device_map,
    )

    # Load datasets
    tokenized_train, tokenized_eval = _prepare_dataset(
        train_dataset=train_dataset,
        eval_dataset=eval_dataset,
        train_load_dataset_kwargs=train_load_dataset_kwargs,
        eval_load_dataset_kwargs=eval_load_dataset_kwargs,
        tokenizer=tokenizer,
        dataset_columns_to_train=dataset_columns_to_train,
    )

    # Initialize the data collator for the trainer to use in order to create batches of data
    data_collator = transformers.DataCollatorForLanguageModeling(
        tokenizer=tokenizer, mlm=False, **data_collator_config
    )

    # Initialize training kwargs from user kwargs:
    train_kwargs = configs[ConfigKeys.training]

    # If deepspeed config given we add it to training kwargs
    if configs[ConfigKeys.deepspeed]:
        train_kwargs["deepspeed"] = configs[ConfigKeys.deepspeed]

    # Take a look at the trainable parameters in the model
    _print_trainable_parameters(model)

    # Preparing training arguments:
    training_args = transformers.TrainingArguments(
        output_dir=tempfile.mkdtemp(),
        **train_kwargs,
    )

    trainer = transformers.Trainer(
        model=model,
        train_dataset=tokenized_train,
        eval_dataset=tokenized_eval,
        tokenizer=tokenizer,
        data_collator=data_collator,
        args=training_args,
    )

    apply_mlrun(trainer, model_name=model_name.split("/")[-1])
    model.config.use_cache = (
        False  # silence the warnings. Please re-enable for inference!
    )

    # Apply training with evaluation:
    context.logger.info(f"training '{model_name}'")
    trainer.train()

    temp_directory = tempfile.TemporaryDirectory().name
    trainer.save_model(temp_directory)

    # Zip the model directory:
    shutil.make_archive(
        base_name="model",
        format="zip",
        root_dir=temp_directory,
    )

    # Log the model:
    context.log_model(
        key="model",
        db_key=model_name.split("/")[-1],
        model_file="model.zip",
        tag="",
        framework="Hugging Face",
    )


def evaluate(
    context,
    model_path,
    data: pd.DataFrame,
    model_name: str = None,
    tokenizer_name: str = None,
):
    """
    Evaluating the model using perplexity, for more information visit:
    https://huggingface.co/docs/transformers/perplexity

    :param context:     mlrun context
    :param model_path:  path to the model directory
    :param data:        the data to evaluate the model
    :param model_name:  name of base model
    :param tokenizer_name: name of base tokenizer
    """
    # Get the model artifact and file:
    (
        model_file,
        model_artifact,
        extra_data,
    ) = mlrun.artifacts.get_model(model_path)

    # Read the name:
    _model_name = model_artifact.spec.db_key

    # Extract logged model files:
    model_directory = os.path.join(os.path.dirname(model_file), _model_name)
    with zipfile.ZipFile(model_file, "r") as zip_file:
        zip_file.extractall(model_directory)

    # Loading the saved pretrained tokenizer and model:
    dataset = Dataset.from_pandas(data)
    tokenizer = AutoTokenizer.from_pretrained(tokenizer_name)
    pad_token_id = tokenizer.eos_token_id
    model = AutoModelForCausalLM.from_pretrained(
        model_name, device_map="cuda:0", trust_remote_code=True, load_in_8bit=True
    )
    model = PeftModel.from_pretrained(model, model_directory)
    model.eval()
    encodings = tokenizer("\n\n".join(dataset["text"][:5]), return_tensors="pt")

    max_length = 1024
    stride = 512
    seq_len = encodings.input_ids.size(1)

    nlls = []
    prev_end_loc = 0
    for begin_loc in range(0, seq_len, stride):
        end_loc = min(begin_loc + max_length, seq_len)
        trg_len = end_loc - prev_end_loc  # may be different from stride on last loop
        input_ids = encodings.input_ids[:, begin_loc:end_loc]
        target_ids = input_ids.clone()
        target_ids[:, :-trg_len] = -100

        with torch.no_grad():
            outputs = model(input_ids.cuda(), labels=target_ids)

            # loss is calculated using CrossEntropyLoss which averages over valid labels
            # N.B. the model only calculates loss over trg_len - 1 labels, because it internally shifts the labels
            # to the left by 1.
            neg_log_likelihood = outputs.loss

        nlls.append(neg_log_likelihood)

        prev_end_loc = end_loc
        if end_loc == seq_len:
            break

    ppl = torch.exp(torch.stack(nlls).mean()).item()
    context.log_result("perplexity", ppl)

+    commands: []
+    code_origin: ''
+    origin_filename: ''
+    requirements: []
+  entry_points:
+    add_interface:
+      name: add_interface
+      doc: ''
+      parameters:
+      - name: cls
+      - name: obj
+        type: Trainer
+      - name: restoration
+        type: MLRunInterfaceRestorationType
+        default: null
+      outputs: []
+      lineno: 70
+      has_varargs: false
+      has_kwargs: false
+    mlrun_train:
+      name: mlrun_train
+      doc: ''
+      parameters:
+      - name: cls
+      outputs: []
+      lineno: 80
+      has_varargs: false
+      has_kwargs: false
+    wrapper:
+      name: wrapper
+      doc: ''
+      parameters:
+      - name: self
+        type: Trainer
+      outputs: []
+      lineno: 81
+      has_varargs: true
+      has_kwargs: true
+    on_epoch_begin:
+      name: on_epoch_begin
+      doc: ''
+      parameters:
+      - name: self
+      - name: args
+        type: TrainingArguments
+      - name: state
+        type: TrainerState
+      - name: control
+        type: TrainerControl
+      outputs: []
+      lineno: 129
+      has_varargs: false
+      has_kwargs: true
+    on_epoch_end:
+      name: on_epoch_end
+      doc: ''
+      parameters:
+      - name: self
+      - name: args
+        type: TrainingArguments
+      - name: state
+        type: TrainerState
+      - name: control
+        type: TrainerControl
+      outputs: []
+      lineno: 140
+      has_varargs: false
+      has_kwargs: true
+    on_log:
+      name: on_log
+      doc: ''
+      parameters:
+      - name: self
+      - name: args
+        type: TrainingArguments
+      - name: state
+        type: TrainerState
+      - name: control
+        type: TrainerControl
+      - name: logs
+        type: Dict[str, float]
+        default: null
+      outputs: []
+      lineno: 151
+      has_varargs: false
+      has_kwargs: true
+    on_train_begin:
+      name: on_train_begin
+      doc: ''
+      parameters:
+      - name: self
+      - name: args
+        type: TrainingArguments
+      - name: state
+        type: TrainerState
+      - name: control
+        type: TrainerControl
+      outputs: []
+      lineno: 177
+      has_varargs: false
+      has_kwargs: true
+    on_train_end:
+      name: on_train_end
+      doc: ''
+      parameters:
+      - name: self
+      - name: args
+        type: TrainingArguments
+      - name: state
+        type: TrainerState
+      - name: control
+        type: TrainerControl
+      - name: model
+        type: PreTrainedModel
+        default: null
+      - name: tokenizer
+        type: PreTrainedTokenizer
+        default: null
+      outputs: []
+      lineno: 188
+      has_varargs: false
+      has_kwargs: true
+    on_evaluate:
+      name: on_evaluate
+      doc: ''
+      parameters:
+      - name: self
+      - name: args
+        type: TrainingArguments
+      - name: state
+        type: TrainerState
+      - name: control
+        type: TrainerControl
+      outputs: []
+      lineno: 201
+      has_varargs: false
+      has_kwargs: true
+    log_metrics:
+      name: log_metrics
+      doc: ''
+      parameters:
+      - name: self
+      outputs: []
+      lineno: 215
+      has_varargs: false
+      has_kwargs: false
+    log_metric_plot:
+      name: log_metric_plot
+      doc: ''
+      parameters:
+      - name: self
+      - name: name
+        type: str
+      - name: scores
+        type: List[float]
+      outputs: []
+      lineno: 222
+      has_varargs: false
+      has_kwargs: false
+    apply_mlrun:
+      name: apply_mlrun
+      doc: This is temporary and will be built in mlrun 1.5.0
+      parameters:
+      - name: trainer
+        type: Trainer
+      - name: model_name
+        type: str
+        default: null
+      - name: tag
+        type: str
+        default: ''
+      - name: context
+        type: MLClientCtx
+        default: null
+      - name: auto_log
+        type: bool
+        default: true
+      - name: labels
+        type: Dict[str, str]
+        default: null
+      - name: extra_data
+        type: dict
+        default: null
+      outputs: []
+      lineno: 244
+      has_varargs: false
+      has_kwargs: true
+    finetune_llm:
+      name: finetune_llm
+      doc: "Fine-tunes a Language Model (LLM) on a specific task using the provided\
+        \ dataset.\n The function takes various configuration parameters to customize\
+        \ the training process\n and adapt the model to specific tasks using a provided\
+        \ dataset."
+      parameters:
+      - name: context
+        type: MLClientCtx
+        doc: mlrun context in order to log trained model
+      - name: train_dataset
+        type: Union[str, mlrun.datastore.DataItem]
+        doc: The train dataset used for fine-tuning the language model.
+      - name: eval_dataset
+        type: str
+        doc: The eval dataset used for evaluate the language model during training.
+        default: null
+      - name: train_load_dataset_kwargs
+        type: dict
+        doc: kwargs for dataset loading
+        default: {}
+      - name: eval_load_dataset_kwargs
+        type: dict
+        doc: kwargs for dataset loading
+        default: {}
+      - name: dataset_columns_to_train
+        type: Union[str, list]
+        doc: which columns to pass to the model as inputs
+        default: text
+      - name: model
+        type: Union[str, List[str]]
+        doc: a tuple containing model name and class, or str with model name or path
+        default: huggingface-model
+      - name: tokenizer
+        type: Union[str, List[str]]
+        doc: a tuple containing tokenizer name and class, or str with tokenizer name
+          or path
+        default: null
+      - name: deepspeed_config
+        type: Union[dict, bool]
+        doc: Configuration options for DeepSpeed (optional).
+        default: false
+      - name: quantization_config
+        type: Union[dict, bool]
+        doc: Configuration options for model quantization (optional).
+        default: false
+      - name: lora_config
+        type: Union[dict, bool]
+        doc: Configuration options for Low-Rank Approximation (LoRA) (optional).
+        default: false
+      - name: training_config
+        type: dict
+        doc: Configuration options specific to the fine-tuning training process (optional).
+        default: {}
+      - name: model_pretrained_config
+        type: dict
+        doc: config to load the pretrained model
+        default: {}
+      - name: tokenizer_pretrained_config
+        type: dict
+        doc: config to load the pretrained tokenizer
+        default: {}
+      - name: data_collator_config
+        type: dict
+        doc: Configuration options for data collation during training (optional).
+        default: {}
+      - name: task
+        type: str
+        doc: A description of the specific task the model is being fine-tuned for.
+        default: text-generation
+      - name: use_cuda
+        type: bool
+        doc: use gpu or not
+        default: true
+      - name: framework
+        type: str
+        doc: pt ot tf
+        default: pt
+      - name: device_map
+        type: str
+        default: auto
+      outputs: []
+      lineno: 630
+      has_varargs: false
+      has_kwargs: true
+    evaluate:
+      name: evaluate
+      doc: 'Evaluating the model using perplexity, for more information visit:
+
+        https://huggingface.co/docs/transformers/perplexity'
+      parameters:
+      - name: context
+        doc: mlrun context
+      - name: model_path
+        doc: path to the model directory
+      - name: data
+        type: DataFrame
+        doc: the data to evaluate the model
+      - name: model_name
+        type: str
+        doc: name of base model
+        default: null
+      - name: tokenizer_name
+        type: str
+        doc: name of base tokenizer
+        default: null
+      outputs: []
+      lineno: 784
+      has_varargs: false
+      has_kwargs: false
+  description: fine-tune llm model with ease
+  default_handler: finetune_llm
+  disable_auto_mount: false
+  clone_target_dir: ''
+  env: []
+  priority_class_name: ''
+  preemption_mode: prevent
+  affinity: null
+  tolerations: null
+  security_context: {}
+verbose: false
diff --git a/functions/master/huggingface_auto_trainer/1.1.0/src/huggingface_auto_trainer.ipynb b/functions/master/huggingface_auto_trainer/1.1.0/src/huggingface_auto_trainer.ipynb
new file mode 100644
index 00000000..847fa98d
--- /dev/null
+++ b/functions/master/huggingface_auto_trainer/1.1.0/src/huggingface_auto_trainer.ipynb
@@ -0,0 +1,195 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "a2c5dc6d-33d0-4e74-a875-6eab556e3b2d",
+   "metadata": {},
+   "source": [
+    "# Llm auto trainer"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cc7aa261-17b2-4362-bf6a-34af79b0230b",
+   "metadata": {},
+   "source": [
+    "## Notebook Introduction: Fine-Tuning a Large Language Model with Ease\n",
+    "\n",
+    "Welcome to this example notebook that demonstrates a simplified yet powerful approach to fine-tuning a Large Language Model (LLM) effortlessly. Fine-tuning is a crucial technique that allows you to adapt pre-trained language models to specific tasks, making them more contextually relevant and useful.\n",
+    "\n",
+    "In this notebook, we will walk you through a step-by-step process of fine-tuning a state-of-the-art language model using a user-friendly and efficient method. You don't need to be an expert in machine learning or natural language processing to follow along – our approach focuses on simplicity and effectiveness."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "425249e9-f43f-45e6-aa25-9f53099049cd",
+   "metadata": {},
+   "source": [
+    "### First, we will select the model we wish to fine-tune and take the matching tokenizer and appropriate config"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3410e9c2-0557-4961-995e-0ef0cc07bf82",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig\n",
+    "from transformers import logging\n",
+    "\n",
+    "logging.set_verbosity(\"CRITICAL\")\n",
+    "\n",
+    "model_name = \"tiiuae/falcon-7b\"\n",
+    "tokenizer = model_name\n",
+    "generation_config = GenerationConfig.from_pretrained(model_name)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f33f3c35-cf61-4b0f-8da9-1c30d3b53230",
+   "metadata": {},
+   "source": [
+    "### Then, in order to use with mlrun, we will create an mlrun project and create an mlrun function"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a8ee7c35-adf7-4ed8-9e7e-e659b9461cd5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import mlrun\n",
+    "\n",
+    "project = mlrun.get_or_create_project(\n",
+    "    name=\"auto-trainer-test\",\n",
+    "    context=\"./\",\n",
+    "    user_project=True,\n",
+    "    parameters={\n",
+    "        \"default_image\": \"yonishelach/mlrun-llm\",\n",
+    "    },\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d56b834f-adf6-4736-8de7-3348e050f561",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "project.set_function(\n",
+    "    \"auto-trainer.py\",\n",
+    "    name=\"auto-trainer\",\n",
+    "    kind=\"job\",\n",
+    "    image=\"yonishelach/mlrun-llm\",\n",
+    "    handler=\"finetune_llm\",\n",
+    ")\n",
+    "project.save()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f42315db-6ddd-4dc1-89f3-c732f92d0d47",
+   "metadata": {},
+   "source": [
+    "### we can set the every config or parameter we want, including training arguments, hyper parameters and more, and pass to the function"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8e62e577-15fb-477d-9c56-fa9fb4c2669b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import transformers\n",
+    "\n",
+    "training_arguments = {\n",
+    "    \"per_device_train_batch_size\": 4,\n",
+    "    \"gradient_accumulation_steps\": 1,\n",
+    "    \"warmup_steps\": 2,\n",
+    "    \"max_steps\": 10,\n",
+    "    \"learning_rate\": 2e-4,\n",
+    "    \"fp16\": True,\n",
+    "    \"logging_steps\": 1,\n",
+    "    \"optim\": \"paged_adamw_8bit\",\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "284a5772-f88d-46c9-87bc-fc14e434c1b4",
+   "metadata": {},
+   "source": [
+    "### Now we simply run the function"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "11ab5888-5870-4bf8-9657-db930adecd77",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "training_run = mlrun.run_function(\n",
+    "    function=\"auto-trainer\",\n",
+    "    name=\"auto-trainer\",\n",
+    "    local=True,\n",
+    "    params={\n",
+    "        \"model\": (model_name, \"transformers.AutoModelForCausalLM\"),\n",
+    "        \"tokenizer\": tokenizer,\n",
+    "        \"train_dataset\": \"Abirate/english_quotes\",\n",
+    "        \"training_config\": training_arguments,\n",
+    "        \"quantization_config\": True,\n",
+    "        \"lora_config\": True,\n",
+    "        \"dataset_columns_to_train\": \"quote\",\n",
+    "        \"lora_target_modules\": [\"query_key_value\"],\n",
+    "        \"model_pretrained_config\": {\"trust_remote_code\": True, \"use_cache\": False},\n",
+    "    },\n",
+    "    handler=\"finetune_llm\",\n",
+    "    outputs=[\"model\"],\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0e674d25-5f1f-4ea8-af02-7d22c2fb6760",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7a4dfe9b-407a-43c0-9c5e-56de106477ac",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "mlrun-base",
+   "language": "python",
+   "name": "conda-env-mlrun-base-py"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.16"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/functions/master/huggingface_auto_trainer/1.1.0/src/huggingface_auto_trainer.py b/functions/master/huggingface_auto_trainer/1.1.0/src/huggingface_auto_trainer.py
new file mode 100644
index 00000000..d1166318
--- /dev/null
+++ b/functions/master/huggingface_auto_trainer/1.1.0/src/huggingface_auto_trainer.py
@@ -0,0 +1,855 @@
+import importlib
+import os
+import shutil
+import tempfile
+import zipfile
+from abc import ABC
+from typing import Dict, List, Tuple, Union
+
+import mlrun
+import numpy as np
+import pandas as pd
+import peft
+import torch
+import transformers
+from datasets import Dataset, load_dataset
+from mlrun.artifacts.manager import Artifact, PlotlyArtifact
+from mlrun.datastore import is_store_uri
+from mlrun.frameworks._common import CommonTypes, MLRunInterface
+from mlrun.utils import logger
+from peft import (LoraConfig, PeftModel, get_peft_model,
+                  prepare_model_for_kbit_training)
+from plotly import graph_objects as go
+from transformers import (AutoModelForCausalLM, AutoTokenizer,
+                          BitsAndBytesConfig, DataCollatorForLanguageModeling,
+                          PreTrainedModel, PreTrainedTokenizer, Trainer,
+                          TrainerCallback, TrainerControl, TrainerState,
+                          TrainingArguments)
+
+supported_tasks = [
+    "question-answering",
+    "summarization",
+    "table-question-answering",
+    "text2text-generation",
+    "text-classification",
+    "sentiment-analysis",
+    "text-generation",
+    "token-classification",
+    "translation",
+    "translation_xx_to_yy",
+]
+
+
+class ConfigKeys:
+    deepspeed = "deepspeed"
+    quantization = "quantization"
+    lora = "lora"
+    training = "training"
+    tokenizer_pretrained = "tokenizer_pretrained"
+    model_pretrained = "model_pretrained"
+    data_collator = "data_collator"
+
+
+# ----------------------from MLRUN--------------------------------
+class HFTrainerMLRunInterface(MLRunInterface, ABC):
+    """
+    This is temporary and will be built in mlrun 1.5.0
+    Interface for adding MLRun features for tensorflow keras API.
+    """
+
+    # MLRuns context default name:
+    DEFAULT_CONTEXT_NAME = "mlrun-huggingface"
+
+    # Attributes to replace so the MLRun interface will be fully enabled.
+    _REPLACED_METHODS = [
+        "train",
+        # "evaluate"
+    ]
+
+    @classmethod
+    def add_interface(
+        cls,
+        obj: Trainer,
+        restoration: CommonTypes.MLRunInterfaceRestorationType = None,
+    ):
+        super(HFTrainerMLRunInterface, cls).add_interface(
+            obj=obj, restoration=restoration
+        )
+
+    @classmethod
+    def mlrun_train(cls):
+        def wrapper(self: Trainer, *args, **kwargs):
+            # Restore the evaluation method as `train` will use it:
+            # cls._restore_attribute(obj=self, attribute_name="evaluate")
+
+            # Call the original fit method:
+            result = self.original_train(*args, **kwargs)
+
+            # Replace the evaluation method again:
+            # cls._replace_function(obj=self, function_name="evaluate")
+
+            return result
+
+        return wrapper
+
+
+class MLRunCallback(TrainerCallback):
+    """
+    This is temporary and will be built in mlrun 1.5.0
+    Callback for collecting logs during training / evaluation of the `Trainer` API.
+    """
+
+    def __init__(
+        self,
+        context: mlrun.MLClientCtx = None,
+        model_name: str = "model",
+        tag: str = "",
+        labels: Dict[str, str] = None,
+        extra_data: dict = None,
+    ):
+        super().__init__()
+
+        # Store the configurations:
+        self._context = (
+            context
+            if context is not None
+            else mlrun.get_or_create_ctx("./mlrun-huggingface")
+        )
+        self._model_name = model_name
+        self._tag = tag
+        self._labels = labels
+        self._extra_data = extra_data if extra_data is not None else {}
+
+        # Set up the logging mode:
+        self._is_training = False
+        self._steps: List[List[int]] = []
+        self._metric_scores: Dict[str, List[float]] = {}
+        self._artifacts: Dict[str, Artifact] = {}
+
+    def on_epoch_begin(
+        self,
+        args: TrainingArguments,
+        state: TrainerState,
+        control: TrainerControl,
+        **kwargs,
+    ):
+        if not state.is_world_process_zero:
+            return
+        self._steps.append([])
+
+    def on_epoch_end(
+        self,
+        args: TrainingArguments,
+        state: TrainerState,
+        control: TrainerControl,
+        **kwargs,
+    ):
+        if not state.is_world_process_zero:
+            return
+        self.log_metrics()
+
+    def on_log(
+        self,
+        args: TrainingArguments,
+        state: TrainerState,
+        control: TrainerControl,
+        logs: Dict[str, float] = None,
+        **kwargs,
+    ):
+        if not state.is_world_process_zero:
+            return
+        recent_logs = state.log_history[-1].copy()
+
+        recent_logs.pop("epoch")
+        current_step = int(recent_logs.pop("step"))
+        if current_step not in self._steps[-1]:
+            self._steps[-1].append(current_step)
+
+        for metric_name, metric_score in recent_logs.items():
+            if metric_name.startswith("train_"):
+                if metric_name.split("train_")[1] not in self._metric_scores:
+                    self._metric_scores[metric_name] = [metric_score]
+                continue
+            if metric_name not in self._metric_scores:
+                self._metric_scores[metric_name] = []
+            self._metric_scores[metric_name].append(metric_score)
+
+    def on_train_begin(
+        self,
+        args: TrainingArguments,
+        state: TrainerState,
+        control: TrainerControl,
+        **kwargs,
+    ):
+        if not state.is_world_process_zero:
+            return
+        self._is_training = True
+
+    def on_train_end(
+        self,
+        args: TrainingArguments,
+        state: TrainerState,
+        control: TrainerControl,
+        model: PreTrainedModel = None,
+        tokenizer: PreTrainedTokenizer = None,
+        **kwargs,
+    ):
+        if not state.is_world_process_zero:
+            return
+        self.log_metrics()
+
+    def on_evaluate(
+        self,
+        args: TrainingArguments,
+        state: TrainerState,
+        control: TrainerControl,
+        **kwargs,
+    ):
+        if not state.is_world_process_zero:
+            return
+        self.log_metrics()
+
+        if self._is_training:
+            return
+
+    def log_metrics(self):
+        for metric_name, metric_scores in self._metric_scores.items():
+            self._context.log_result(key=metric_name, value=metric_scores[-1])
+            if len(metric_scores) > 1:
+                self.log_metric_plot(name=metric_name, scores=metric_scores)
+        self._context.commit(completed=False)
+
+    def log_metric_plot(self, name: str, scores: List[float]):
+        # Initialize a plotly figure:
+        metric_figure = go.Figure()
+
+        # Add titles:
+        metric_figure.update_layout(
+            title=name.capitalize().replace("_", " "),
+            xaxis_title="Samples",
+            yaxis_title="Scores",
+        )
+
+        # Draw:
+        metric_figure.add_trace(
+            go.Scatter(x=np.arange(len(scores)), y=scores, mode="lines")
+        )
+
+        # Create the plotly artifact:
+        artifact_name = f"{name}_plot"
+        artifact = PlotlyArtifact(key=artifact_name, figure=metric_figure)
+        self._artifacts[artifact_name] = self._context.log_artifact(artifact)
+
+
+def apply_mlrun(
+    trainer: transformers.Trainer,
+    model_name: str = None,
+    tag: str = "",
+    context: mlrun.MLClientCtx = None,
+    auto_log: bool = True,
+    labels: Dict[str, str] = None,
+    extra_data: dict = None,
+    **kwargs,
+):
+    """
+    This is temporary and will be built in mlrun 1.5.0
+    """
+    # Get parameters defaults:
+    if context is None:
+        context = mlrun.get_or_create_ctx(HFTrainerMLRunInterface.DEFAULT_CONTEXT_NAME)
+
+    HFTrainerMLRunInterface.add_interface(obj=trainer)
+
+    if auto_log:
+        trainer.add_callback(
+            MLRunCallback(
+                context=context,
+                model_name=model_name,
+                tag=tag,
+                labels=labels,
+                extra_data=extra_data,
+            )
+        )
+
+
+# ----------------------end from MLRUN--------------------------------
+
+
+def _print_trainable_parameters(model):
+    """
+    Prints the number of trainable parameters in the model.
+    """
+    trainable_params = 0
+    all_param = 0
+    for _, param in model.named_parameters():
+        all_param += param.numel()
+        if param.requires_grad:
+            trainable_params += param.numel()
+    print(
+        f"trainable params: {trainable_params} || all params: {all_param} || trainable%:"
+        f" {100 * trainable_params / all_param}"
+    )
+
+
+# default configs
+# will be used if user provides "True" with config name as input
+QUANTIZATION_CONFIG = transformers.BitsAndBytesConfig(
+    load_in_4bit=True,
+    bnb_4bit_use_double_quant=True,
+    bnb_4bit_quant_type="nf4",
+    bnb_4bit_compute_dtype=torch.bfloat16,
+)
+
+LORA_CONFIG = peft.LoraConfig(
+    r=8,
+    lora_alpha=32,
+    target_modules=["query_key_value"],
+    lora_dropout=0.05,
+    bias="none",
+    task_type="CAUSAL_LM",
+)
+
+DEEPSPEED_CONFIG = {
+    "train_micro_batch_size_per_gpu": "auto",
+    "fp16": {"enabled": True},
+    "autotuning": {
+        "enabled": True,
+        "arg_mappings": {
+            "train_micro_batch_size_per_gpu": "--per_device_train_batch_size",
+            "gradient_accumulation_steps ": "--gradient_accumulation_steps",
+        },
+    },
+    "zero_optimization": {
+        "stage": 2,
+    },
+}
+
+
+def _update_config(src: dict, dst: dict):
+    """
+    update configs according to user, this way the user can add/modify values in default configs for e.g.
+
+    goes over all configs and corresponding prefixes, collect all the keys from the given dict that start
+     with the prefix and add them to appropriate config
+
+    :param src: dict of all candidate values to update dict.
+    :param dst: dict containing all configs to update.
+    """
+
+    for config_name, config in dst.items():
+
+        # If given True we use default dict
+        # Can also be False or a config dict given from user, so we check specifically fo True
+        if config is True and config_name == "quantization":
+            config = QUANTIZATION_CONFIG
+
+        if config is True and config_name == "lora":
+            config = LORA_CONFIG
+
+        if config is True and config_name == "deepspeed":
+            config = DEEPSPEED_CONFIG
+
+        # in some cases we can get a boolean value, in that case no need to look for args
+        if isinstance(config, bool):
+            config = None
+
+        elif isinstance(config, dict):
+            for key, val in src.items():
+                if key.startswith(config_name):
+                    config[key.replace(f"{config_name}_", "")] = val
+
+        # update by config name
+        else:
+            for key, val in src.items():
+                if key.startswith(config_name):
+                    setattr(config, key.replace(f"{config_name}_", ""), val)
+
+        dst.update({config_name: config})
+
+
+def _get_class_object(class_path: str) -> type:
+    """
+    given a full class name, this function returns the correct class
+
+    :param class_path: a full class name (ex. 'transformers.AutoModelForCausalLM')
+
+    :return the wanted class object
+    """
+    module_path, class_name = class_path.rsplit(".", 1)
+    module = importlib.import_module(module_path)
+    return getattr(module, class_name)
+
+
+def _set_model_and_tokenizer(
+    model: Union[str, List[str]],
+    tokenizer: Union[str, List[str]],
+    task: str,
+    framework: str,
+    lora_config: dict,
+    quantization_config: dict,
+    use_cuda: bool,
+    tokenizer_pretrained_config,
+    model_pretrained_config,
+    device_map: str,
+):
+    """
+    get the correct model and tokenizer according to given user inputs
+
+    :param model: a tuple containing model name and class, or str with model name or path
+    :param tokenizer: a tuple containing tokenizer name and class, or str with tokenizer name or path
+    :param task: a supported nlp task, used to choose model if not provided
+    :param framework: pt or tf
+    :param lora_config: lora config or None, to load model in appropriate way
+    :param quantization_config: quantization config or None, to load model in appropriate way
+    :param use_cuda: use gpu or not
+    :param tokenizer_pretrained_config: config to load the pretrained tokenizer
+    :param model_pretrained_config: config to load the pretrained model
+    :param device_map: a device map for model training if using number of gpu's
+
+    :returns: model and tokenizer
+    """
+    # if task is not supported and no model was given we can't choose one
+    if task and task not in supported_tasks and not model:
+        logger.error("unsupported task option chosen")
+        raise
+
+    # load model from store
+    if isinstance(model, str) and is_store_uri(model):
+        pass
+        # TODO: load both model and tokenizer and return, need guy's help
+
+    # if it's a tuple them we assume it contains of both name and class
+    if isinstance(model, list):
+        model_name, model_class = model
+        model_class = _get_class_object(model_class)
+
+    # in the case we don't get the model class we need the task in order to choose the correct model
+    else:
+        if task is None:
+            logger.error("task must be chosen in order to determine the correct model")
+            raise Exception(
+                "this function requires either a supported task or a model and model class to be chosen"
+            )
+
+        _, available_classes, task_options = transformers.pipelines.check_task(task)
+
+        if isinstance(model, str):
+            model_name = model
+
+        # if model is not given, we take the default model for the given task
+        else:
+            model_name, _ = transformers.pipelines.get_default_model_and_revision(
+                available_classes, framework, task_options
+            )
+        if not available_classes.get(framework, tuple()):
+            logger.error(
+                "given task's default model is not supported in specified framework"
+            )
+            raise Exception(
+                "this function requires either a supported task or a model and model class to be chosen"
+            )
+
+        model_class = available_classes[framework][0]
+
+    # load the pretrained model
+    if use_cuda:
+        device_map = device_map
+    else:
+        device_map = None
+
+    model = model_class.from_pretrained(
+        model_name,
+        quantization_config=quantization_config,
+        device_map=device_map,
+        **model_pretrained_config,
+    )
+
+    # If quantization config is given we will load a quantized model, if not a regular one
+    if quantization_config:
+        model.gradient_checkpointing_enable()
+        model = peft.prepare_model_for_kbit_training(model)
+
+    # If lora config was given we want to do lora fine tune, we update model here
+    if lora_config:
+        model = peft.get_peft_model(model, lora_config)
+
+    # if not specified we choose the default tokenizer that corresponding to the model
+    if tokenizer is None:
+        tokenizer = transformers.AutoTokenizer.from_pretrained(model_name)
+        return model_name, model, tokenizer
+
+    if isinstance(tokenizer, str):
+        tokenizer_name = tokenizer
+        tokenizer_class = transformers.AutoTokenizer
+
+    # if it's not a str then it's a tuple of both name and class
+    else:
+        tokenizer_name, tokenizer_class = tokenizer
+        tokenizer_class = _get_class_object(tokenizer_class)
+
+    tokenizer = tokenizer_class.from_pretrained(
+        tokenizer_name, **tokenizer_pretrained_config
+    )
+
+    tokenizer.pad_token = tokenizer.eos_token
+
+    return model_name, model, tokenizer
+
+
+def _dataset_loader(dataset: str, is_train: bool = True, **kwargs) -> Dataset:
+    """
+    loads the specific dataset provided by the user
+
+    :param dataset: name or path of dataset to load
+    :param is_train: bool that indicates the purpose of the dataset
+    :param kwargs: other kwargs for loading the dataset
+
+    :returns: loaded dataset
+    """
+    # if split in kwargs then the user decides how to split the dataset
+    if "split" in kwargs:
+        return load_dataset(dataset, **kwargs)
+
+    # if it's a dataset for train we split with train
+    if is_train:
+        return load_dataset(dataset, split="train", **kwargs)
+
+    # if it's eval dataset, then a lot of names are acceptable for the set and we check all of them
+    dataset = load_dataset(dataset, **kwargs)
+    if "test" in dataset:
+        return dataset.get("test")
+    elif "eval" in dataset:
+        return dataset.get("eval")
+    elif "validation" in dataset:
+        return dataset.get("validation")
+
+
+def _prepare_dataset(
+    train_dataset: str,
+    eval_dataset: str,
+    train_load_dataset_kwargs,
+    eval_load_dataset_kwargs,
+    tokenizer,
+    dataset_columns_to_train: Union[str, list],
+) -> (Dataset, Union[Dataset, None]):
+    """
+    Loads the train and eval datasets (if provided) passes them through the tokenizer and
+    returns them ready to use in training
+
+    :param train_dataset: the name or path to the train dataset
+    :param eval_dataset: the name or path to the eval dataset
+    :param dataset_columns_to_train: which columns to pass to the model as inputs
+                                        (need to pass through the tokenizer first)
+    :param train_load_dataset_kwargs: kwargs for dataset loading
+    :param eval_load_dataset_kwargs: kwargs for dataset loading
+    :param tokenizer: the tokenizer to pass the data through
+
+    :returns: tokenized datasets
+    """
+    if not tokenizer.pad_token:
+        tokenizer.pad_token = tokenizer.eos_token
+
+    # we take col name/s in a list for easy generalization
+    if isinstance(dataset_columns_to_train, str):
+        dataset_columns_to_train = [dataset_columns_to_train]
+
+    if isinstance(train_dataset, mlrun.datastore.DataItem):
+        train_dataset = Dataset.from_pandas(train_dataset.as_df())
+        return (
+            train_dataset.map(
+                lambda examples: tokenizer(
+                    *[examples[col] for col in dataset_columns_to_train],
+                    truncation=True,
+                    padding=True,
+                ),
+                batched=True,
+            ),
+            None,
+        )
+
+    # Load datasets
+    # if provided two paths/names we load each separately using designated func
+    if eval_dataset:
+        train_dataset = _dataset_loader(
+            dataset=train_dataset, is_train=True, **train_load_dataset_kwargs
+        )
+        eval_dataset = _dataset_loader(
+            dataset=eval_dataset, is_train=False, **eval_load_dataset_kwargs
+        )
+
+    # if only on path is given then we must check if it contains both dataset or if only one should be used
+    else:
+        dataset = load_dataset(train_dataset, **train_load_dataset_kwargs)
+        if "train" in dataset:
+            train_dataset = dataset.get("train")
+            if "test" in dataset:
+                eval_dataset = dataset.get("test")
+            elif "eval" in dataset:
+                eval_dataset = dataset.get("eval")
+            elif "validation" in dataset:
+                eval_dataset = dataset.get("validation")
+            else:
+                # only train dataset given, tokenize and return it
+                return (
+                    train_dataset.map(
+                        lambda examples: tokenizer(
+                            *[examples[col] for col in dataset_columns_to_train],
+                            truncation=True,
+                            padding=True,
+                        ),
+                        batched=True,
+                    ),
+                    None,
+                )
+        else:
+            logger.error("train dataset is mandatory")
+            raise KeyError("no train dataset found in given dataset")
+
+    # Tokenize the data so the model can understand it
+    tokenized_train_dataset = train_dataset.map(
+        lambda examples: tokenizer(
+            *[examples[col] for col in dataset_columns_to_train],
+            truncation=True,
+            padding=True,
+        ),
+        batched=True,
+    )
+
+    tokenized_eval_dataset = eval_dataset.map(
+        lambda examples: tokenizer(
+            *[examples[col] for col in dataset_columns_to_train],
+            truncation=True,
+            padding=True,
+        ),
+        batched=True,
+    )
+
+    return tokenized_train_dataset, tokenized_eval_dataset
+
+
+def finetune_llm(
+    context: mlrun.MLClientCtx,
+    train_dataset: Union[str, mlrun.datastore.DataItem],
+    eval_dataset: str = None,
+    train_load_dataset_kwargs: dict = {},
+    eval_load_dataset_kwargs: dict = {},
+    dataset_columns_to_train: Union[str, list] = "text",
+    model: Union[str, List[str]] = "huggingface-model",
+    tokenizer: Union[str, List[str]] = None,
+    deepspeed_config: Union[dict, bool] = False,
+    quantization_config: Union[dict, bool] = False,
+    lora_config: Union[dict, bool] = False,
+    training_config: dict = {},
+    model_pretrained_config: dict = {},
+    tokenizer_pretrained_config: dict = {},
+    data_collator_config: dict = {},
+    task: str = "text-generation",
+    use_cuda: bool = True,
+    framework: str = "pt",
+    device_map: str = "auto",
+    **kwargs,
+):
+    """
+    Fine-tunes a Language Model (LLM) on a specific task using the provided dataset.
+     The function takes various configuration parameters to customize the training process
+     and adapt the model to specific tasks using a provided dataset.
+
+    :param context: mlrun context in order to log trained model
+    :param dataset_columns_to_train: which columns to pass to the model as inputs
+    :param eval_load_dataset_kwargs: kwargs for dataset loading
+    :param train_load_dataset_kwargs: kwargs for dataset loading
+    :param framework: pt ot tf
+    :param use_cuda: use gpu or not
+    :param tokenizer_pretrained_config: config to load the pretrained tokenizer
+    :param model_pretrained_config: config to load the pretrained model
+    :param tokenizer: a tuple containing tokenizer name and class, or str with tokenizer name or path
+    :param model: a tuple containing model name and class, or str with model name or path
+    :param train_dataset: The train dataset used for fine-tuning the language model.
+    :param eval_dataset: The eval dataset used for evaluate the language model during training.
+    :param deepspeed_config: Configuration options for DeepSpeed (optional).
+    :param quantization_config: Configuration options for model quantization (optional).
+    :param lora_config: Configuration options for Low-Rank Approximation (LoRA) (optional).
+    :param training_config: Configuration options specific to the fine-tuning training process (optional).
+    :param data_collator_config: Configuration options for data collation during training (optional).
+    :param task: A description of the specific task the model is being fine-tuned for.
+    :param kwargs: Additional keyword arguments.
+    """
+
+    # TODO: match forward.keyword to dataset.keyword - check if relevant in new design
+    # TODO: add warning for label, and add option to modify dataset col names - check if relevant in new design
+
+    # Look for updates to configs given in kwargs
+    configs = {
+        ConfigKeys.deepspeed: deepspeed_config,
+        ConfigKeys.quantization: quantization_config,
+        ConfigKeys.lora: lora_config,
+        ConfigKeys.training: training_config,
+        ConfigKeys.model_pretrained: model_pretrained_config,
+        ConfigKeys.tokenizer_pretrained: tokenizer_pretrained_config,
+        ConfigKeys.data_collator: data_collator_config,
+    }
+    _update_config(dst=configs, src=kwargs)
+
+    # check gpu permission and availability
+    if use_cuda:
+        if torch.cuda.is_available():
+            # Clean gpu cache
+            torch.cuda.empty_cache()
+        else:
+            logger.warning("'use_cuda' is set to True, but no cuda device is available")
+
+    # get model and tokenizer
+    model_name, model, tokenizer = _set_model_and_tokenizer(
+        model=model,
+        tokenizer=tokenizer,
+        task=task,
+        framework=framework,
+        lora_config=configs[ConfigKeys.lora],
+        quantization_config=configs[ConfigKeys.quantization],
+        use_cuda=use_cuda,
+        tokenizer_pretrained_config=tokenizer_pretrained_config,
+        model_pretrained_config=configs[ConfigKeys.model_pretrained],
+        device_map=device_map,
+    )
+
+    # Load datasets
+    tokenized_train, tokenized_eval = _prepare_dataset(
+        train_dataset=train_dataset,
+        eval_dataset=eval_dataset,
+        train_load_dataset_kwargs=train_load_dataset_kwargs,
+        eval_load_dataset_kwargs=eval_load_dataset_kwargs,
+        tokenizer=tokenizer,
+        dataset_columns_to_train=dataset_columns_to_train,
+    )
+
+    # Initialize the data collator for the trainer to use in order to create batches of data
+    data_collator = transformers.DataCollatorForLanguageModeling(
+        tokenizer=tokenizer, mlm=False, **data_collator_config
+    )
+
+    # Initialize training kwargs from user kwargs:
+    train_kwargs = configs[ConfigKeys.training]
+
+    # If deepspeed config given we add it to training kwargs
+    if configs[ConfigKeys.deepspeed]:
+        train_kwargs["deepspeed"] = configs[ConfigKeys.deepspeed]
+
+    # Take a look at the trainable parameters in the model
+    _print_trainable_parameters(model)
+
+    # Preparing training arguments:
+    training_args = transformers.TrainingArguments(
+        output_dir=tempfile.mkdtemp(),
+        **train_kwargs,
+    )
+
+    trainer = transformers.Trainer(
+        model=model,
+        train_dataset=tokenized_train,
+        eval_dataset=tokenized_eval,
+        tokenizer=tokenizer,
+        data_collator=data_collator,
+        args=training_args,
+    )
+
+    apply_mlrun(trainer, model_name=model_name.split("/")[-1])
+    model.config.use_cache = (
+        False  # silence the warnings. Please re-enable for inference!
+    )
+
+    # Apply training with evaluation:
+    context.logger.info(f"training '{model_name}'")
+    trainer.train()
+
+    temp_directory = tempfile.TemporaryDirectory().name
+    trainer.save_model(temp_directory)
+
+    # Zip the model directory:
+    shutil.make_archive(
+        base_name="model",
+        format="zip",
+        root_dir=temp_directory,
+    )
+
+    # Log the model:
+    context.log_model(
+        key="model",
+        db_key=model_name.split("/")[-1],
+        model_file="model.zip",
+        tag="",
+        framework="Hugging Face",
+    )
+
+
+def evaluate(
+    context,
+    model_path,
+    data: pd.DataFrame,
+    model_name: str = None,
+    tokenizer_name: str = None,
+):
+    """
+    Evaluating the model using perplexity, for more information visit:
+    https://huggingface.co/docs/transformers/perplexity
+
+    :param context:     mlrun context
+    :param model_path:  path to the model directory
+    :param data:        the data to evaluate the model
+    :param model_name:  name of base model
+    :param tokenizer_name: name of base tokenizer
+    """
+    # Get the model artifact and file:
+    (
+        model_file,
+        model_artifact,
+        extra_data,
+    ) = mlrun.artifacts.get_model(model_path)
+
+    # Read the name:
+    _model_name = model_artifact.spec.db_key
+
+    # Extract logged model files:
+    model_directory = os.path.join(os.path.dirname(model_file), _model_name)
+    with zipfile.ZipFile(model_file, "r") as zip_file:
+        zip_file.extractall(model_directory)
+
+    # Loading the saved pretrained tokenizer and model:
+    dataset = Dataset.from_pandas(data)
+    tokenizer = AutoTokenizer.from_pretrained(tokenizer_name)
+    pad_token_id = tokenizer.eos_token_id
+    model = AutoModelForCausalLM.from_pretrained(
+        model_name, device_map="cuda:0", trust_remote_code=True, load_in_8bit=True
+    )
+    model = PeftModel.from_pretrained(model, model_directory)
+    model.eval()
+    encodings = tokenizer("\n\n".join(dataset["text"][:5]), return_tensors="pt")
+
+    max_length = 1024
+    stride = 512
+    seq_len = encodings.input_ids.size(1)
+
+    nlls = []
+    prev_end_loc = 0
+    for begin_loc in range(0, seq_len, stride):
+        end_loc = min(begin_loc + max_length, seq_len)
+        trg_len = end_loc - prev_end_loc  # may be different from stride on last loop
+        input_ids = encodings.input_ids[:, begin_loc:end_loc]
+        target_ids = input_ids.clone()
+        target_ids[:, :-trg_len] = -100
+
+        with torch.no_grad():
+            outputs = model(input_ids.cuda(), labels=target_ids)
+
+            # loss is calculated using CrossEntropyLoss which averages over valid labels
+            # N.B. the model only calculates loss over trg_len - 1 labels, because it internally shifts the labels
+            # to the left by 1.
+            neg_log_likelihood = outputs.loss
+
+        nlls.append(neg_log_likelihood)
+
+        prev_end_loc = end_loc
+        if end_loc == seq_len:
+            break
+
+    ppl = torch.exp(torch.stack(nlls).mean()).item()
+    context.log_result("perplexity", ppl)
diff --git a/functions/master/huggingface_auto_trainer/1.1.0/src/item.yaml b/functions/master/huggingface_auto_trainer/1.1.0/src/item.yaml
new file mode 100644
index 00000000..b7c9bbcc
--- /dev/null
+++ b/functions/master/huggingface_auto_trainer/1.1.0/src/item.yaml
@@ -0,0 +1,27 @@
+apiVersion: v1
+categories:
+- huggingface
+- genai
+- machine-learning
+- model-training
+description: fine-tune llm model with ease
+doc: ''
+example: huggingface_auto_trainer.ipynb
+generationDate: 2023-08-21:17-25
+hidden: false
+icon: ''
+labels:
+  author: Zeevr
+maintainers: []
+marketplaceType: ''
+mlrunVersion: 1.4.0
+name: huggingface-auto-trainer
+platformVersion: 3.5.0
+spec:
+  filename: huggingface_auto_trainer.py
+  handler: finetune_llm
+  image: mlrun/mlrun
+  kind: job
+  requirements: []
+url: ''
+version: 1.1.0
diff --git a/functions/master/huggingface_auto_trainer/1.1.0/src/requirements.txt b/functions/master/huggingface_auto_trainer/1.1.0/src/requirements.txt
new file mode 100644
index 00000000..1376b1d0
--- /dev/null
+++ b/functions/master/huggingface_auto_trainer/1.1.0/src/requirements.txt
@@ -0,0 +1,5 @@
+peft
+transformers
+torch
+datasets
+plotly
diff --git a/functions/master/huggingface_auto_trainer/1.1.0/src/test_huggingface_auto_trainer.py b/functions/master/huggingface_auto_trainer/1.1.0/src/test_huggingface_auto_trainer.py
new file mode 100644
index 00000000..53576e4e
--- /dev/null
+++ b/functions/master/huggingface_auto_trainer/1.1.0/src/test_huggingface_auto_trainer.py
@@ -0,0 +1,42 @@
+import tempfile
+
+import mlrun
+
+
+def test_train():
+
+    model_name = "distilgpt2"
+    tokenizer = model_name
+    auto_trainer = mlrun.import_function("function.yaml")
+
+    training_arguments = {
+        "per_device_train_batch_size": 4,
+        "gradient_accumulation_steps": 1,
+        "warmup_steps": 2,
+        "max_steps": 10,
+        "learning_rate": 2e-4,
+        "logging_steps": 1,
+    }
+
+    params = {
+        "model": (model_name, "transformers.AutoModelForCausalLM"),
+        "tokenizer": tokenizer,
+        "train_dataset": "Abirate/english_quotes",
+        "training_config": training_arguments,
+        "dataset_columns_to_train": "quote",
+        "model_pretrained_config": {"use_cache": False},
+        "use_cuda": False,
+    }
+
+    try:
+        with tempfile.TemporaryDirectory() as test_directory:
+            auto_trainer.run(
+                local=True,
+                params=params,
+                handler="finetune_llm",
+                returns=["model"],
+                workdir=test_directory,
+            )
+
+    except Exception as exception:
+        print(f"- The training failed - raised the following error:\n- {exception}")
diff --git a/functions/master/huggingface_auto_trainer/1.1.0/static/documentation.html b/functions/master/huggingface_auto_trainer/1.1.0/static/documentation.html
new file mode 100644
index 00000000..be893164
--- /dev/null
+++ b/functions/master/huggingface_auto_trainer/1.1.0/static/documentation.html
@@ -0,0 +1,380 @@
+
+<!DOCTYPE html>
+
+<html lang="en">
+<head>
+<meta charset="utf-8"/>
+<meta content="width=device-width, initial-scale=1.0" name="viewport"/><meta content="Docutils 0.17.1: http://docutils.sourceforge.net/" name="generator"/>
+<title>huggingface_auto_trainer package</title>
+<!-- Loaded before other Sphinx assets -->
+<link href="../../../_static/styles/theme.css?digest=1999514e3f237ded88cf" rel="stylesheet"/>
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+<!-- Table of contents -->
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+<i class="fas fa-list"></i> Contents
+    </div>
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+<ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#submodules">
+   Submodules
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#module-huggingface_auto_trainer.huggingface_auto_trainer">
+   huggingface_auto_trainer.huggingface_auto_trainer module
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#module-huggingface_auto_trainer">
+   Module contents
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+<h1>huggingface_auto_trainer package</h1>
+<!-- Table of contents -->
+<div id="print-main-content">
+<div id="jb-print-toc">
+<div>
+<h2> Contents </h2>
+</div>
+<nav aria-label="Page">
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+   Submodules
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+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#module-huggingface_auto_trainer.huggingface_auto_trainer">
+   huggingface_auto_trainer.huggingface_auto_trainer module
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#module-huggingface_auto_trainer">
+   Module contents
+  </a>
+</li>
+</ul>
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+</div>
+</div>
+</div>
+<main id="main-content" role="main">
+<div>
+<section id="huggingface-auto-trainer-package">
+<h1>huggingface_auto_trainer package<a class="headerlink" href="#huggingface-auto-trainer-package" title="Permalink to this headline">#</a></h1>
+<section id="submodules">
+<h2>Submodules<a class="headerlink" href="#submodules" title="Permalink to this headline">#</a></h2>
+</section>
+<section id="module-huggingface_auto_trainer.huggingface_auto_trainer">
+<span id="huggingface-auto-trainer-huggingface-auto-trainer-module"></span><h2>huggingface_auto_trainer.huggingface_auto_trainer module<a class="headerlink" href="#module-huggingface_auto_trainer.huggingface_auto_trainer" title="Permalink to this headline">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="huggingface_auto_trainer.huggingface_auto_trainer.ConfigKeys">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">huggingface_auto_trainer.huggingface_auto_trainer.</span></span><span class="sig-name descname"><span class="pre">ConfigKeys</span></span><a class="reference internal" href="huggingface_auto_trainer.html#ConfigKeys"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#huggingface_auto_trainer.huggingface_auto_trainer.ConfigKeys" title="Permalink to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="huggingface_auto_trainer.huggingface_auto_trainer.ConfigKeys.data_collator">
+<span class="sig-name descname"><span class="pre">data_collator</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'data_collator'</span></em><a class="headerlink" href="#huggingface_auto_trainer.huggingface_auto_trainer.ConfigKeys.data_collator" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="huggingface_auto_trainer.huggingface_auto_trainer.ConfigKeys.deepspeed">
+<span class="sig-name descname"><span class="pre">deepspeed</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'deepspeed'</span></em><a class="headerlink" href="#huggingface_auto_trainer.huggingface_auto_trainer.ConfigKeys.deepspeed" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="huggingface_auto_trainer.huggingface_auto_trainer.ConfigKeys.lora">
+<span class="sig-name descname"><span class="pre">lora</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'lora'</span></em><a class="headerlink" href="#huggingface_auto_trainer.huggingface_auto_trainer.ConfigKeys.lora" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="huggingface_auto_trainer.huggingface_auto_trainer.ConfigKeys.model_pretrained">
+<span class="sig-name descname"><span class="pre">model_pretrained</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'model_pretrained'</span></em><a class="headerlink" href="#huggingface_auto_trainer.huggingface_auto_trainer.ConfigKeys.model_pretrained" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="huggingface_auto_trainer.huggingface_auto_trainer.ConfigKeys.quantization">
+<span class="sig-name descname"><span class="pre">quantization</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'quantization'</span></em><a class="headerlink" href="#huggingface_auto_trainer.huggingface_auto_trainer.ConfigKeys.quantization" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="huggingface_auto_trainer.huggingface_auto_trainer.ConfigKeys.tokenizer_pretrained">
+<span class="sig-name descname"><span class="pre">tokenizer_pretrained</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'tokenizer_pretrained'</span></em><a class="headerlink" href="#huggingface_auto_trainer.huggingface_auto_trainer.ConfigKeys.tokenizer_pretrained" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="huggingface_auto_trainer.huggingface_auto_trainer.ConfigKeys.training">
+<span class="sig-name descname"><span class="pre">training</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'training'</span></em><a class="headerlink" href="#huggingface_auto_trainer.huggingface_auto_trainer.ConfigKeys.training" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="huggingface_auto_trainer.huggingface_auto_trainer.HFTrainerMLRunInterface">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">huggingface_auto_trainer.huggingface_auto_trainer.</span></span><span class="sig-name descname"><span class="pre">HFTrainerMLRunInterface</span></span><a class="reference internal" href="huggingface_auto_trainer.html#HFTrainerMLRunInterface"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#huggingface_auto_trainer.huggingface_auto_trainer.HFTrainerMLRunInterface" title="Permalink to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">abc.ABC</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">Generic</span></code>[<code class="xref py py-obj docutils literal notranslate"><span class="pre">mlrun.frameworks._common.utils.MLRunInterfaceableType</span></code>]</p>
+<p>This is temporary and will be built in mlrun 1.5.0
+Interface for adding MLRun features for tensorflow keras API.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="huggingface_auto_trainer.huggingface_auto_trainer.HFTrainerMLRunInterface.DEFAULT_CONTEXT_NAME">
+<span class="sig-name descname"><span class="pre">DEFAULT_CONTEXT_NAME</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'mlrun-huggingface'</span></em><a class="headerlink" href="#huggingface_auto_trainer.huggingface_auto_trainer.HFTrainerMLRunInterface.DEFAULT_CONTEXT_NAME" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="huggingface_auto_trainer.huggingface_auto_trainer.HFTrainerMLRunInterface.add_interface">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">add_interface</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">obj</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">transformers.Trainer</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">restoration</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span> </span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="huggingface_auto_trainer.html#HFTrainerMLRunInterface.add_interface"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#huggingface_auto_trainer.huggingface_auto_trainer.HFTrainerMLRunInterface.add_interface" title="Permalink to this definition">#</a></dt>
+<dd><p>Enrich the object with this interface properties, methods and functions so it will have this framework MLRun’s
+features.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>obj</strong> – The object to enrich his interface.</p></li>
+<li><p><strong>restoration</strong> – Restoration information tuple as returned from ‘remove_interface’ in order to add the
+interface in a certain state.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="huggingface_auto_trainer.huggingface_auto_trainer.HFTrainerMLRunInterface.mlrun_train">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">mlrun_train</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="huggingface_auto_trainer.html#HFTrainerMLRunInterface.mlrun_train"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#huggingface_auto_trainer.huggingface_auto_trainer.HFTrainerMLRunInterface.mlrun_train" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="huggingface_auto_trainer.huggingface_auto_trainer.MLRunCallback">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">huggingface_auto_trainer.huggingface_auto_trainer.</span></span><span class="sig-name descname"><span class="pre">MLRunCallback</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="huggingface_auto_trainer.html#MLRunCallback"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#huggingface_auto_trainer.huggingface_auto_trainer.MLRunCallback" title="Permalink to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">transformers.</span></code></p>
+<p>This is temporary and will be built in mlrun 1.5.0
+Callback for collecting logs during training / evaluation of the <cite>Trainer</cite> API.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="huggingface_auto_trainer.huggingface_auto_trainer.MLRunCallback.log_metric_plot">
+<span class="sig-name descname"><span class="pre">log_metric_plot</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scores</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span><a class="reference internal" href="huggingface_auto_trainer.html#MLRunCallback.log_metric_plot"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#huggingface_auto_trainer.huggingface_auto_trainer.MLRunCallback.log_metric_plot" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="huggingface_auto_trainer.huggingface_auto_trainer.MLRunCallback.log_metrics">
+<span class="sig-name descname"><span class="pre">log_metrics</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="huggingface_auto_trainer.html#MLRunCallback.log_metrics"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#huggingface_auto_trainer.huggingface_auto_trainer.MLRunCallback.log_metrics" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="huggingface_auto_trainer.huggingface_auto_trainer.MLRunCallback.on_epoch_begin">
+<span class="sig-name descname"><span class="pre">on_epoch_begin</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">transformers.TrainingArguments</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">state</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">transformers.TrainerState</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">control</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">transformers.TrainerControl</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="huggingface_auto_trainer.html#MLRunCallback.on_epoch_begin"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#huggingface_auto_trainer.huggingface_auto_trainer.MLRunCallback.on_epoch_begin" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="huggingface_auto_trainer.huggingface_auto_trainer.MLRunCallback.on_epoch_end">
+<span class="sig-name descname"><span class="pre">on_epoch_end</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">transformers.TrainingArguments</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">state</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">transformers.TrainerState</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">control</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">transformers.TrainerControl</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="huggingface_auto_trainer.html#MLRunCallback.on_epoch_end"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#huggingface_auto_trainer.huggingface_auto_trainer.MLRunCallback.on_epoch_end" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="huggingface_auto_trainer.huggingface_auto_trainer.MLRunCallback.on_evaluate">
+<span class="sig-name descname"><span class="pre">on_evaluate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">transformers.TrainingArguments</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">state</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">transformers.TrainerState</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">control</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">transformers.TrainerControl</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="huggingface_auto_trainer.html#MLRunCallback.on_evaluate"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#huggingface_auto_trainer.huggingface_auto_trainer.MLRunCallback.on_evaluate" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="huggingface_auto_trainer.huggingface_auto_trainer.MLRunCallback.on_log">
+<span class="sig-name descname"><span class="pre">on_log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">transformers.TrainingArguments</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">state</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">transformers.TrainerState</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">control</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">transformers.TrainerControl</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">logs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="huggingface_auto_trainer.html#MLRunCallback.on_log"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#huggingface_auto_trainer.huggingface_auto_trainer.MLRunCallback.on_log" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="huggingface_auto_trainer.huggingface_auto_trainer.MLRunCallback.on_train_begin">
+<span class="sig-name descname"><span class="pre">on_train_begin</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">transformers.TrainingArguments</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">state</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">transformers.TrainerState</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">control</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">transformers.TrainerControl</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="huggingface_auto_trainer.html#MLRunCallback.on_train_begin"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#huggingface_auto_trainer.huggingface_auto_trainer.MLRunCallback.on_train_begin" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="huggingface_auto_trainer.huggingface_auto_trainer.MLRunCallback.on_train_end">
+<span class="sig-name descname"><span class="pre">on_train_end</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">transformers.TrainingArguments</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">state</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">transformers.TrainerState</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">control</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">transformers.TrainerControl</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">transformers.PreTrainedModel</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tokenizer</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">transformers.PreTrainedTokenizer</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="huggingface_auto_trainer.html#MLRunCallback.on_train_end"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#huggingface_auto_trainer.huggingface_auto_trainer.MLRunCallback.on_train_end" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="huggingface_auto_trainer.huggingface_auto_trainer.apply_mlrun">
+<span class="sig-prename descclassname"><span class="pre">huggingface_auto_trainer.huggingface_auto_trainer.</span></span><span class="sig-name descname"><span class="pre">apply_mlrun</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">trainer</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">transformers.Trainer</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tag</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">''</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">context</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">mlrun.execution.MLClientCtx</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">auto_log</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">labels</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">extra_data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="huggingface_auto_trainer.html#apply_mlrun"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#huggingface_auto_trainer.huggingface_auto_trainer.apply_mlrun" title="Permalink to this definition">#</a></dt>
+<dd><p>This is temporary and will be built in mlrun 1.5.0</p>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="huggingface_auto_trainer.huggingface_auto_trainer.evaluate">
+<span class="sig-prename descclassname"><span class="pre">huggingface_auto_trainer.huggingface_auto_trainer.</span></span><span class="sig-name descname"><span class="pre">evaluate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">context</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_path</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pandas.core.frame.DataFrame</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tokenizer_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="huggingface_auto_trainer.html#evaluate"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#huggingface_auto_trainer.huggingface_auto_trainer.evaluate" title="Permalink to this definition">#</a></dt>
+<dd><p>Evaluating the model using perplexity, for more information visit:
+<a class="reference external" href="https://huggingface.co/docs/transformers/perplexity">https://huggingface.co/docs/transformers/perplexity</a></p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>context</strong> – mlrun context</p></li>
+<li><p><strong>model_path</strong> – path to the model directory</p></li>
+<li><p><strong>data</strong> – the data to evaluate the model</p></li>
+<li><p><strong>model_name</strong> – name of base model</p></li>
+<li><p><strong>tokenizer_name</strong> – name of base tokenizer</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="huggingface_auto_trainer.huggingface_auto_trainer.finetune_llm">
+<span class="sig-prename descclassname"><span class="pre">huggingface_auto_trainer.huggingface_auto_trainer.</span></span><span class="sig-name descname"><span class="pre">finetune_llm</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">context</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">mlrun.execution.MLClientCtx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_dataset</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">mlrun.datastore.base.DataItem</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eval_dataset</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_load_dataset_kwargs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">{}</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eval_load_dataset_kwargs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">{}</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dataset_columns_to_train</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">list</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'text'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'huggingface-model'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tokenizer</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">deepspeed_config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">,</span> </span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">quantization_config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">,</span> </span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lora_config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">,</span> </span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training_config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">{}</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_pretrained_config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">{}</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tokenizer_pretrained_config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">{}</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_collator_config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">{}</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">task</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'text-generation'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_cuda</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">framework</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'pt'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device_map</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'auto'</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="huggingface_auto_trainer.html#finetune_llm"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#huggingface_auto_trainer.huggingface_auto_trainer.finetune_llm" title="Permalink to this definition">#</a></dt>
+<dd><dl class="simple">
+<dt>Fine-tunes a Language Model (LLM) on a specific task using the provided dataset.</dt><dd><p>The function takes various configuration parameters to customize the training process
+and adapt the model to specific tasks using a provided dataset.</p>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>context</strong> – mlrun context in order to log trained model</p></li>
+<li><p><strong>dataset_columns_to_train</strong> – which columns to pass to the model as inputs</p></li>
+<li><p><strong>eval_load_dataset_kwargs</strong> – kwargs for dataset loading</p></li>
+<li><p><strong>train_load_dataset_kwargs</strong> – kwargs for dataset loading</p></li>
+<li><p><strong>framework</strong> – pt ot tf</p></li>
+<li><p><strong>use_cuda</strong> – use gpu or not</p></li>
+<li><p><strong>tokenizer_pretrained_config</strong> – config to load the pretrained tokenizer</p></li>
+<li><p><strong>model_pretrained_config</strong> – config to load the pretrained model</p></li>
+<li><p><strong>tokenizer</strong> – a tuple containing tokenizer name and class, or str with tokenizer name or path</p></li>
+<li><p><strong>model</strong> – a tuple containing model name and class, or str with model name or path</p></li>
+<li><p><strong>train_dataset</strong> – The train dataset used for fine-tuning the language model.</p></li>
+<li><p><strong>eval_dataset</strong> – The eval dataset used for evaluate the language model during training.</p></li>
+<li><p><strong>deepspeed_config</strong> – Configuration options for DeepSpeed (optional).</p></li>
+<li><p><strong>quantization_config</strong> – Configuration options for model quantization (optional).</p></li>
+<li><p><strong>lora_config</strong> – Configuration options for Low-Rank Approximation (LoRA) (optional).</p></li>
+<li><p><strong>training_config</strong> – Configuration options specific to the fine-tuning training process (optional).</p></li>
+<li><p><strong>data_collator_config</strong> – Configuration options for data collation during training (optional).</p></li>
+<li><p><strong>task</strong> – A description of the specific task the model is being fine-tuned for.</p></li>
+<li><p><strong>kwargs</strong> – Additional keyword arguments.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+</section>
+<section id="module-huggingface_auto_trainer">
+<span id="module-contents"></span><h2>Module contents<a class="headerlink" href="#module-huggingface_auto_trainer" title="Permalink to this headline">#</a></h2>
+</section>
+</section>
+</div>
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diff --git a/functions/master/huggingface_auto_trainer/1.1.0/static/example.html b/functions/master/huggingface_auto_trainer/1.1.0/static/example.html
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--- /dev/null
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@@ -0,0 +1,351 @@
+
+<!DOCTYPE html>
+
+<html lang="en">
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+<div class="tocsection onthispage pt-5 pb-3">
+<i class="fas fa-list"></i> Contents
+    </div>
+<nav aria-label="Page" id="bd-toc-nav">
+<ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#notebook-introduction-fine-tuning-a-large-language-model-with-ease">
+   Notebook Introduction: Fine-Tuning a Large Language Model with Ease
+  </a>
+<ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry">
+<a class="reference internal nav-link" href="#first-we-will-select-the-model-we-wish-to-fine-tune-and-take-the-matching-tokenizer-and-appropriate-config">
+     First, we will select the model we wish to fine-tune and take the matching tokenizer and appropriate config
+    </a>
+</li>
+<li class="toc-h3 nav-item toc-entry">
+<a class="reference internal nav-link" href="#then-in-order-to-use-with-mlrun-we-will-create-an-mlrun-project-and-create-an-mlrun-function">
+     Then, in order to use with mlrun, we will create an mlrun project and create an mlrun function
+    </a>
+</li>
+<li class="toc-h3 nav-item toc-entry">
+<a class="reference internal nav-link" href="#we-can-set-the-every-config-or-parameter-we-want-including-training-arguments-hyper-parameters-and-more-and-pass-to-the-function">
+     we can set the every config or parameter we want, including training arguments, hyper parameters and more, and pass to the function
+    </a>
+</li>
+<li class="toc-h3 nav-item toc-entry">
+<a class="reference internal nav-link" href="#now-we-simply-run-the-function">
+     Now we simply run the function
+    </a>
+</li>
+</ul>
+</li>
+</ul>
+</nav>
+</div>
+</div>
+<div class="article row">
+<div class="col pl-md-3 pl-lg-5 content-container">
+<!-- Table of contents that is only displayed when printing the page -->
+<div class="onlyprint" id="jb-print-docs-body">
+<h1>Llm auto trainer</h1>
+<!-- Table of contents -->
+<div id="print-main-content">
+<div id="jb-print-toc">
+<div>
+<h2> Contents </h2>
+</div>
+<nav aria-label="Page">
+<ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#notebook-introduction-fine-tuning-a-large-language-model-with-ease">
+   Notebook Introduction: Fine-Tuning a Large Language Model with Ease
+  </a>
+<ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry">
+<a class="reference internal nav-link" href="#first-we-will-select-the-model-we-wish-to-fine-tune-and-take-the-matching-tokenizer-and-appropriate-config">
+     First, we will select the model we wish to fine-tune and take the matching tokenizer and appropriate config
+    </a>
+</li>
+<li class="toc-h3 nav-item toc-entry">
+<a class="reference internal nav-link" href="#then-in-order-to-use-with-mlrun-we-will-create-an-mlrun-project-and-create-an-mlrun-function">
+     Then, in order to use with mlrun, we will create an mlrun project and create an mlrun function
+    </a>
+</li>
+<li class="toc-h3 nav-item toc-entry">
+<a class="reference internal nav-link" href="#we-can-set-the-every-config-or-parameter-we-want-including-training-arguments-hyper-parameters-and-more-and-pass-to-the-function">
+     we can set the every config or parameter we want, including training arguments, hyper parameters and more, and pass to the function
+    </a>
+</li>
+<li class="toc-h3 nav-item toc-entry">
+<a class="reference internal nav-link" href="#now-we-simply-run-the-function">
+     Now we simply run the function
+    </a>
+</li>
+</ul>
+</li>
+</ul>
+</nav>
+</div>
+</div>
+</div>
+<main id="main-content" role="main">
+<div>
+<section id="llm-auto-trainer">
+<h1>Llm auto trainer<a class="headerlink" href="#llm-auto-trainer" title="Permalink to this headline">#</a></h1>
+<section id="notebook-introduction-fine-tuning-a-large-language-model-with-ease">
+<h2>Notebook Introduction: Fine-Tuning a Large Language Model with Ease<a class="headerlink" href="#notebook-introduction-fine-tuning-a-large-language-model-with-ease" title="Permalink to this headline">#</a></h2>
+<p>Welcome to this example notebook that demonstrates a simplified yet powerful approach to fine-tuning a Large Language Model (LLM) effortlessly. Fine-tuning is a crucial technique that allows you to adapt pre-trained language models to specific tasks, making them more contextually relevant and useful.</p>
+<p>In this notebook, we will walk you through a step-by-step process of fine-tuning a state-of-the-art language model using a user-friendly and efficient method. You don’t need to be an expert in machine learning or natural language processing to follow along – our approach focuses on simplicity and effectiveness.</p>
+<section id="first-we-will-select-the-model-we-wish-to-fine-tune-and-take-the-matching-tokenizer-and-appropriate-config">
+<h3>First, we will select the model we wish to fine-tune and take the matching tokenizer and appropriate config<a class="headerlink" href="#first-we-will-select-the-model-we-wish-to-fine-tune-and-take-the-matching-tokenizer-and-appropriate-config" title="Permalink to this headline">#</a></h3>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">from</span> <span class="nn">transformers</span> <span class="kn">import</span> <span class="n">AutoTokenizer</span><span class="p">,</span> <span class="n">AutoModelForCausalLM</span><span class="p">,</span> <span class="n">GenerationConfig</span>
+<span class="kn">from</span> <span class="nn">transformers</span> <span class="kn">import</span> <span class="n">logging</span>
+
+<span class="n">logging</span><span class="o">.</span><span class="n">set_verbosity</span><span class="p">(</span><span class="s2">"CRITICAL"</span><span class="p">)</span>
+
+<span class="n">model_name</span> <span class="o">=</span> <span class="s2">"tiiuae/falcon-7b"</span>
+<span class="n">tokenizer</span> <span class="o">=</span> <span class="n">model_name</span>
+<span class="n">generation_config</span> <span class="o">=</span> <span class="n">GenerationConfig</span><span class="o">.</span><span class="n">from_pretrained</span><span class="p">(</span><span class="n">model_name</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="then-in-order-to-use-with-mlrun-we-will-create-an-mlrun-project-and-create-an-mlrun-function">
+<h3>Then, in order to use with mlrun, we will create an mlrun project and create an mlrun function<a class="headerlink" href="#then-in-order-to-use-with-mlrun-we-will-create-an-mlrun-project-and-create-an-mlrun-function" title="Permalink to this headline">#</a></h3>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">mlrun</span>
+
+<span class="n">project</span> <span class="o">=</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">get_or_create_project</span><span class="p">(</span>
+    <span class="n">name</span><span class="o">=</span><span class="s2">"auto-trainer-test"</span><span class="p">,</span>
+    <span class="n">context</span><span class="o">=</span><span class="s2">"./"</span><span class="p">,</span>
+    <span class="n">user_project</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+    <span class="n">parameters</span><span class="o">=</span><span class="p">{</span>
+        <span class="s2">"default_image"</span><span class="p">:</span> <span class="s2">"yonishelach/mlrun-llm"</span><span class="p">,</span>
+    <span class="p">},</span>
+<span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">project</span><span class="o">.</span><span class="n">set_function</span><span class="p">(</span>
+    <span class="s2">"auto-trainer.py"</span><span class="p">,</span>
+    <span class="n">name</span><span class="o">=</span><span class="s2">"auto-trainer"</span><span class="p">,</span>
+    <span class="n">kind</span><span class="o">=</span><span class="s2">"job"</span><span class="p">,</span>
+    <span class="n">image</span><span class="o">=</span><span class="s2">"yonishelach/mlrun-llm"</span><span class="p">,</span>
+    <span class="n">handler</span><span class="o">=</span><span class="s2">"finetune_llm"</span><span class="p">,</span>
+<span class="p">)</span>
+<span class="n">project</span><span class="o">.</span><span class="n">save</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="we-can-set-the-every-config-or-parameter-we-want-including-training-arguments-hyper-parameters-and-more-and-pass-to-the-function">
+<h3>we can set the every config or parameter we want, including training arguments, hyper parameters and more, and pass to the function<a class="headerlink" href="#we-can-set-the-every-config-or-parameter-we-want-including-training-arguments-hyper-parameters-and-more-and-pass-to-the-function" title="Permalink to this headline">#</a></h3>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">transformers</span>
+
+<span class="n">training_arguments</span> <span class="o">=</span> <span class="p">{</span>
+    <span class="s2">"per_device_train_batch_size"</span><span class="p">:</span> <span class="mi">4</span><span class="p">,</span>
+    <span class="s2">"gradient_accumulation_steps"</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span>
+    <span class="s2">"warmup_steps"</span><span class="p">:</span> <span class="mi">2</span><span class="p">,</span>
+    <span class="s2">"max_steps"</span><span class="p">:</span> <span class="mi">10</span><span class="p">,</span>
+    <span class="s2">"learning_rate"</span><span class="p">:</span> <span class="mf">2e-4</span><span class="p">,</span>
+    <span class="s2">"fp16"</span><span class="p">:</span> <span class="kc">True</span><span class="p">,</span>
+    <span class="s2">"logging_steps"</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span>
+    <span class="s2">"optim"</span><span class="p">:</span> <span class="s2">"paged_adamw_8bit"</span><span class="p">,</span>
+<span class="p">}</span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="now-we-simply-run-the-function">
+<h3>Now we simply run the function<a class="headerlink" href="#now-we-simply-run-the-function" title="Permalink to this headline">#</a></h3>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">training_run</span> <span class="o">=</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">run_function</span><span class="p">(</span>
+    <span class="n">function</span><span class="o">=</span><span class="s2">"auto-trainer"</span><span class="p">,</span>
+    <span class="n">name</span><span class="o">=</span><span class="s2">"auto-trainer"</span><span class="p">,</span>
+    <span class="n">local</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+    <span class="n">params</span><span class="o">=</span><span class="p">{</span>
+        <span class="s2">"model"</span><span class="p">:</span> <span class="p">(</span><span class="n">model_name</span><span class="p">,</span> <span class="s2">"transformers.AutoModelForCausalLM"</span><span class="p">),</span>
+        <span class="s2">"tokenizer"</span><span class="p">:</span> <span class="n">tokenizer</span><span class="p">,</span>
+        <span class="s2">"train_dataset"</span><span class="p">:</span> <span class="s2">"Abirate/english_quotes"</span><span class="p">,</span>
+        <span class="s2">"training_config"</span><span class="p">:</span> <span class="n">training_arguments</span><span class="p">,</span>
+        <span class="s2">"quantization_config"</span><span class="p">:</span> <span class="kc">True</span><span class="p">,</span>
+        <span class="s2">"lora_config"</span><span class="p">:</span> <span class="kc">True</span><span class="p">,</span>
+        <span class="s2">"dataset_columns_to_train"</span><span class="p">:</span> <span class="s2">"quote"</span><span class="p">,</span>
+        <span class="s2">"lora_target_modules"</span><span class="p">:</span> <span class="p">[</span><span class="s2">"query_key_value"</span><span class="p">],</span>
+        <span class="s2">"model_pretrained_config"</span><span class="p">:</span> <span class="p">{</span><span class="s2">"trust_remote_code"</span><span class="p">:</span> <span class="kc">True</span><span class="p">,</span> <span class="s2">"use_cache"</span><span class="p">:</span> <span class="kc">False</span><span class="p">},</span>
+    <span class="p">},</span>
+    <span class="n">handler</span><span class="o">=</span><span class="s2">"finetune_llm"</span><span class="p">,</span>
+    <span class="n">outputs</span><span class="o">=</span><span class="p">[</span><span class="s2">"model"</span><span class="p">],</span>
+<span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+</section>
+</section>
+</div>
+</main>
+<footer class="footer-article noprint">
+<!-- Previous / next buttons -->
+<div class="prev-next-area">
+</div>
+</footer>
+</div>
+</div>
+<div class="footer-content row">
+<footer class="col footer"><p>
+  
+      © Copyright .<br/>
+</p>
+</footer>
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+<!-- Scripts loaded after <body> so the DOM is not blocked -->
+<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf"></script>
+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/huggingface_auto_trainer/1.1.0/static/function.html b/functions/master/huggingface_auto_trainer/1.1.0/static/function.html
new file mode 100644
index 00000000..a989880e
--- /dev/null
+++ b/functions/master/huggingface_auto_trainer/1.1.0/static/function.html
@@ -0,0 +1,349 @@
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta content="IE=edge" http-equiv="X-UA-Compatible">
+    <meta content="width=device-width, initial-scale=1.0" name="viewport">
+    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/styles/atom-one-dark.min.css">
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/highlight.min.js"></script>
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/languages/yaml.min.js"></script>
+    <title>Source</title>
+    <script>hljs.highlightAll();</script>
+</head>
+
+<body style="background-color:darkgray; margin: 0 0 0 0;">
+    <pre style="margin: 0 1em;">
+        <code class="yaml">
+kind: job
+metadata:
+  name: huggingface-auto-trainer
+  tag: ''
+  hash: 55c9aa4a822780f7388819ccf633dfe26b31f02e
+  project: ''
+  labels:
+    author: Zeevr
+  categories:
+  - huggingface
+  - genai
+  - machine-learning
+  - model-training
+spec:
+  command: ''
+  args: []
+  image: mlrun/mlrun
+  build:
+    functionSourceCode: import importlib
import os
import shutil
import tempfile
import zipfile
from abc import ABC
from typing import Dict, List, Tuple, Union

import mlrun
import numpy as np
import pandas as pd
import peft
import torch
import transformers
from datasets import Dataset, load_dataset
from mlrun.artifacts.manager import Artifact, PlotlyArtifact
from mlrun.datastore import is_store_uri
from mlrun.frameworks._common import CommonTypes, MLRunInterface
from mlrun.utils import logger
from peft import (LoraConfig, PeftModel, get_peft_model,
                  prepare_model_for_kbit_training)
from plotly import graph_objects as go
from transformers import (AutoModelForCausalLM, AutoTokenizer,
                          BitsAndBytesConfig, DataCollatorForLanguageModeling,
                          PreTrainedModel, PreTrainedTokenizer, Trainer,
                          TrainerCallback, TrainerControl, TrainerState,
                          TrainingArguments)

supported_tasks = [
    "question-answering",
    "summarization",
    "table-question-answering",
    "text2text-generation",
    "text-classification",
    "sentiment-analysis",
    "text-generation",
    "token-classification",
    "translation",
    "translation_xx_to_yy",
]


class ConfigKeys:
    deepspeed = "deepspeed"
    quantization = "quantization"
    lora = "lora"
    training = "training"
    tokenizer_pretrained = "tokenizer_pretrained"
    model_pretrained = "model_pretrained"
    data_collator = "data_collator"


# ----------------------from MLRUN--------------------------------
class HFTrainerMLRunInterface(MLRunInterface, ABC):
    """
    This is temporary and will be built in mlrun 1.5.0
    Interface for adding MLRun features for tensorflow keras API.
    """

    # MLRuns context default name:
    DEFAULT_CONTEXT_NAME = "mlrun-huggingface"

    # Attributes to replace so the MLRun interface will be fully enabled.
    _REPLACED_METHODS = [
        "train",
        # "evaluate"
    ]

    @classmethod
    def add_interface(
        cls,
        obj: Trainer,
        restoration: CommonTypes.MLRunInterfaceRestorationType = None,
    ):
        super(HFTrainerMLRunInterface, cls).add_interface(
            obj=obj, restoration=restoration
        )

    @classmethod
    def mlrun_train(cls):
        def wrapper(self: Trainer, *args, **kwargs):
            # Restore the evaluation method as `train` will use it:
            # cls._restore_attribute(obj=self, attribute_name="evaluate")

            # Call the original fit method:
            result = self.original_train(*args, **kwargs)

            # Replace the evaluation method again:
            # cls._replace_function(obj=self, function_name="evaluate")

            return result

        return wrapper


class MLRunCallback(TrainerCallback):
    """
    This is temporary and will be built in mlrun 1.5.0
    Callback for collecting logs during training / evaluation of the `Trainer` API.
    """

    def __init__(
        self,
        context: mlrun.MLClientCtx = None,
        model_name: str = "model",
        tag: str = "",
        labels: Dict[str, str] = None,
        extra_data: dict = None,
    ):
        super().__init__()

        # Store the configurations:
        self._context = (
            context
            if context is not None
            else mlrun.get_or_create_ctx("./mlrun-huggingface")
        )
        self._model_name = model_name
        self._tag = tag
        self._labels = labels
        self._extra_data = extra_data if extra_data is not None else {}

        # Set up the logging mode:
        self._is_training = False
        self._steps: List[List[int]] = []
        self._metric_scores: Dict[str, List[float]] = {}
        self._artifacts: Dict[str, Artifact] = {}

    def on_epoch_begin(
        self,
        args: TrainingArguments,
        state: TrainerState,
        control: TrainerControl,
        **kwargs,
    ):
        if not state.is_world_process_zero:
            return
        self._steps.append([])

    def on_epoch_end(
        self,
        args: TrainingArguments,
        state: TrainerState,
        control: TrainerControl,
        **kwargs,
    ):
        if not state.is_world_process_zero:
            return
        self.log_metrics()

    def on_log(
        self,
        args: TrainingArguments,
        state: TrainerState,
        control: TrainerControl,
        logs: Dict[str, float] = None,
        **kwargs,
    ):
        if not state.is_world_process_zero:
            return
        recent_logs = state.log_history[-1].copy()

        recent_logs.pop("epoch")
        current_step = int(recent_logs.pop("step"))
        if current_step not in self._steps[-1]:
            self._steps[-1].append(current_step)

        for metric_name, metric_score in recent_logs.items():
            if metric_name.startswith("train_"):
                if metric_name.split("train_")[1] not in self._metric_scores:
                    self._metric_scores[metric_name] = [metric_score]
                continue
            if metric_name not in self._metric_scores:
                self._metric_scores[metric_name] = []
            self._metric_scores[metric_name].append(metric_score)

    def on_train_begin(
        self,
        args: TrainingArguments,
        state: TrainerState,
        control: TrainerControl,
        **kwargs,
    ):
        if not state.is_world_process_zero:
            return
        self._is_training = True

    def on_train_end(
        self,
        args: TrainingArguments,
        state: TrainerState,
        control: TrainerControl,
        model: PreTrainedModel = None,
        tokenizer: PreTrainedTokenizer = None,
        **kwargs,
    ):
        if not state.is_world_process_zero:
            return
        self.log_metrics()

    def on_evaluate(
        self,
        args: TrainingArguments,
        state: TrainerState,
        control: TrainerControl,
        **kwargs,
    ):
        if not state.is_world_process_zero:
            return
        self.log_metrics()

        if self._is_training:
            return

    def log_metrics(self):
        for metric_name, metric_scores in self._metric_scores.items():
            self._context.log_result(key=metric_name, value=metric_scores[-1])
            if len(metric_scores) > 1:
                self.log_metric_plot(name=metric_name, scores=metric_scores)
        self._context.commit(completed=False)

    def log_metric_plot(self, name: str, scores: List[float]):
        # Initialize a plotly figure:
        metric_figure = go.Figure()

        # Add titles:
        metric_figure.update_layout(
            title=name.capitalize().replace("_", " "),
            xaxis_title="Samples",
            yaxis_title="Scores",
        )

        # Draw:
        metric_figure.add_trace(
            go.Scatter(x=np.arange(len(scores)), y=scores, mode="lines")
        )

        # Create the plotly artifact:
        artifact_name = f"{name}_plot"
        artifact = PlotlyArtifact(key=artifact_name, figure=metric_figure)
        self._artifacts[artifact_name] = self._context.log_artifact(artifact)


def apply_mlrun(
    trainer: transformers.Trainer,
    model_name: str = None,
    tag: str = "",
    context: mlrun.MLClientCtx = None,
    auto_log: bool = True,
    labels: Dict[str, str] = None,
    extra_data: dict = None,
    **kwargs,
):
    """
    This is temporary and will be built in mlrun 1.5.0
    """
    # Get parameters defaults:
    if context is None:
        context = mlrun.get_or_create_ctx(HFTrainerMLRunInterface.DEFAULT_CONTEXT_NAME)

    HFTrainerMLRunInterface.add_interface(obj=trainer)

    if auto_log:
        trainer.add_callback(
            MLRunCallback(
                context=context,
                model_name=model_name,
                tag=tag,
                labels=labels,
                extra_data=extra_data,
            )
        )


# ----------------------end from MLRUN--------------------------------


def _print_trainable_parameters(model):
    """
    Prints the number of trainable parameters in the model.
    """
    trainable_params = 0
    all_param = 0
    for _, param in model.named_parameters():
        all_param += param.numel()
        if param.requires_grad:
            trainable_params += param.numel()
    print(
        f"trainable params: {trainable_params} || all params: {all_param} || trainable%:"
        f" {100 * trainable_params / all_param}"
    )


# default configs
# will be used if user provides "True" with config name as input
QUANTIZATION_CONFIG = transformers.BitsAndBytesConfig(
    load_in_4bit=True,
    bnb_4bit_use_double_quant=True,
    bnb_4bit_quant_type="nf4",
    bnb_4bit_compute_dtype=torch.bfloat16,
)

LORA_CONFIG = peft.LoraConfig(
    r=8,
    lora_alpha=32,
    target_modules=["query_key_value"],
    lora_dropout=0.05,
    bias="none",
    task_type="CAUSAL_LM",
)

DEEPSPEED_CONFIG = {
    "train_micro_batch_size_per_gpu": "auto",
    "fp16": {"enabled": True},
    "autotuning": {
        "enabled": True,
        "arg_mappings": {
            "train_micro_batch_size_per_gpu": "--per_device_train_batch_size",
            "gradient_accumulation_steps ": "--gradient_accumulation_steps",
        },
    },
    "zero_optimization": {
        "stage": 2,
    },
}


def _update_config(src: dict, dst: dict):
    """
    update configs according to user, this way the user can add/modify values in default configs for e.g.

    goes over all configs and corresponding prefixes, collect all the keys from the given dict that start
     with the prefix and add them to appropriate config

    :param src: dict of all candidate values to update dict.
    :param dst: dict containing all configs to update.
    """

    for config_name, config in dst.items():

        # If given True we use default dict
        # Can also be False or a config dict given from user, so we check specifically fo True
        if config is True and config_name == "quantization":
            config = QUANTIZATION_CONFIG

        if config is True and config_name == "lora":
            config = LORA_CONFIG

        if config is True and config_name == "deepspeed":
            config = DEEPSPEED_CONFIG

        # in some cases we can get a boolean value, in that case no need to look for args
        if isinstance(config, bool):
            config = None

        elif isinstance(config, dict):
            for key, val in src.items():
                if key.startswith(config_name):
                    config[key.replace(f"{config_name}_", "")] = val

        # update by config name
        else:
            for key, val in src.items():
                if key.startswith(config_name):
                    setattr(config, key.replace(f"{config_name}_", ""), val)

        dst.update({config_name: config})


def _get_class_object(class_path: str) -> type:
    """
    given a full class name, this function returns the correct class

    :param class_path: a full class name (ex. 'transformers.AutoModelForCausalLM')

    :return the wanted class object
    """
    module_path, class_name = class_path.rsplit(".", 1)
    module = importlib.import_module(module_path)
    return getattr(module, class_name)


def _set_model_and_tokenizer(
    model: Union[str, List[str]],
    tokenizer: Union[str, List[str]],
    task: str,
    framework: str,
    lora_config: dict,
    quantization_config: dict,
    use_cuda: bool,
    tokenizer_pretrained_config,
    model_pretrained_config,
    device_map: str,
):
    """
    get the correct model and tokenizer according to given user inputs

    :param model: a tuple containing model name and class, or str with model name or path
    :param tokenizer: a tuple containing tokenizer name and class, or str with tokenizer name or path
    :param task: a supported nlp task, used to choose model if not provided
    :param framework: pt or tf
    :param lora_config: lora config or None, to load model in appropriate way
    :param quantization_config: quantization config or None, to load model in appropriate way
    :param use_cuda: use gpu or not
    :param tokenizer_pretrained_config: config to load the pretrained tokenizer
    :param model_pretrained_config: config to load the pretrained model
    :param device_map: a device map for model training if using number of gpu's

    :returns: model and tokenizer
    """
    # if task is not supported and no model was given we can't choose one
    if task and task not in supported_tasks and not model:
        logger.error("unsupported task option chosen")
        raise

    # load model from store
    if isinstance(model, str) and is_store_uri(model):
        pass
        # TODO: load both model and tokenizer and return, need guy's help

    # if it's a tuple them we assume it contains of both name and class
    if isinstance(model, list):
        model_name, model_class = model
        model_class = _get_class_object(model_class)

    # in the case we don't get the model class we need the task in order to choose the correct model
    else:
        if task is None:
            logger.error("task must be chosen in order to determine the correct model")
            raise Exception(
                "this function requires either a supported task or a model and model class to be chosen"
            )

        _, available_classes, task_options = transformers.pipelines.check_task(task)

        if isinstance(model, str):
            model_name = model

        # if model is not given, we take the default model for the given task
        else:
            model_name, _ = transformers.pipelines.get_default_model_and_revision(
                available_classes, framework, task_options
            )
        if not available_classes.get(framework, tuple()):
            logger.error(
                "given task's default model is not supported in specified framework"
            )
            raise Exception(
                "this function requires either a supported task or a model and model class to be chosen"
            )

        model_class = available_classes[framework][0]

    # load the pretrained model
    if use_cuda:
        device_map = device_map
    else:
        device_map = None

    model = model_class.from_pretrained(
        model_name,
        quantization_config=quantization_config,
        device_map=device_map,
        **model_pretrained_config,
    )

    # If quantization config is given we will load a quantized model, if not a regular one
    if quantization_config:
        model.gradient_checkpointing_enable()
        model = peft.prepare_model_for_kbit_training(model)

    # If lora config was given we want to do lora fine tune, we update model here
    if lora_config:
        model = peft.get_peft_model(model, lora_config)

    # if not specified we choose the default tokenizer that corresponding to the model
    if tokenizer is None:
        tokenizer = transformers.AutoTokenizer.from_pretrained(model_name)
        return model_name, model, tokenizer

    if isinstance(tokenizer, str):
        tokenizer_name = tokenizer
        tokenizer_class = transformers.AutoTokenizer

    # if it's not a str then it's a tuple of both name and class
    else:
        tokenizer_name, tokenizer_class = tokenizer
        tokenizer_class = _get_class_object(tokenizer_class)

    tokenizer = tokenizer_class.from_pretrained(
        tokenizer_name, **tokenizer_pretrained_config
    )

    tokenizer.pad_token = tokenizer.eos_token

    return model_name, model, tokenizer


def _dataset_loader(dataset: str, is_train: bool = True, **kwargs) -> Dataset:
    """
    loads the specific dataset provided by the user

    :param dataset: name or path of dataset to load
    :param is_train: bool that indicates the purpose of the dataset
    :param kwargs: other kwargs for loading the dataset

    :returns: loaded dataset
    """
    # if split in kwargs then the user decides how to split the dataset
    if "split" in kwargs:
        return load_dataset(dataset, **kwargs)

    # if it's a dataset for train we split with train
    if is_train:
        return load_dataset(dataset, split="train", **kwargs)

    # if it's eval dataset, then a lot of names are acceptable for the set and we check all of them
    dataset = load_dataset(dataset, **kwargs)
    if "test" in dataset:
        return dataset.get("test")
    elif "eval" in dataset:
        return dataset.get("eval")
    elif "validation" in dataset:
        return dataset.get("validation")


def _prepare_dataset(
    train_dataset: str,
    eval_dataset: str,
    train_load_dataset_kwargs,
    eval_load_dataset_kwargs,
    tokenizer,
    dataset_columns_to_train: Union[str, list],
) -> (Dataset, Union[Dataset, None]):
    """
    Loads the train and eval datasets (if provided) passes them through the tokenizer and
    returns them ready to use in training

    :param train_dataset: the name or path to the train dataset
    :param eval_dataset: the name or path to the eval dataset
    :param dataset_columns_to_train: which columns to pass to the model as inputs
                                        (need to pass through the tokenizer first)
    :param train_load_dataset_kwargs: kwargs for dataset loading
    :param eval_load_dataset_kwargs: kwargs for dataset loading
    :param tokenizer: the tokenizer to pass the data through

    :returns: tokenized datasets
    """
    if not tokenizer.pad_token:
        tokenizer.pad_token = tokenizer.eos_token

    # we take col name/s in a list for easy generalization
    if isinstance(dataset_columns_to_train, str):
        dataset_columns_to_train = [dataset_columns_to_train]

    if isinstance(train_dataset, mlrun.datastore.DataItem):
        train_dataset = Dataset.from_pandas(train_dataset.as_df())
        return (
            train_dataset.map(
                lambda examples: tokenizer(
                    *[examples[col] for col in dataset_columns_to_train],
                    truncation=True,
                    padding=True,
                ),
                batched=True,
            ),
            None,
        )

    # Load datasets
    # if provided two paths/names we load each separately using designated func
    if eval_dataset:
        train_dataset = _dataset_loader(
            dataset=train_dataset, is_train=True, **train_load_dataset_kwargs
        )
        eval_dataset = _dataset_loader(
            dataset=eval_dataset, is_train=False, **eval_load_dataset_kwargs
        )

    # if only on path is given then we must check if it contains both dataset or if only one should be used
    else:
        dataset = load_dataset(train_dataset, **train_load_dataset_kwargs)
        if "train" in dataset:
            train_dataset = dataset.get("train")
            if "test" in dataset:
                eval_dataset = dataset.get("test")
            elif "eval" in dataset:
                eval_dataset = dataset.get("eval")
            elif "validation" in dataset:
                eval_dataset = dataset.get("validation")
            else:
                # only train dataset given, tokenize and return it
                return (
                    train_dataset.map(
                        lambda examples: tokenizer(
                            *[examples[col] for col in dataset_columns_to_train],
                            truncation=True,
                            padding=True,
                        ),
                        batched=True,
                    ),
                    None,
                )
        else:
            logger.error("train dataset is mandatory")
            raise KeyError("no train dataset found in given dataset")

    # Tokenize the data so the model can understand it
    tokenized_train_dataset = train_dataset.map(
        lambda examples: tokenizer(
            *[examples[col] for col in dataset_columns_to_train],
            truncation=True,
            padding=True,
        ),
        batched=True,
    )

    tokenized_eval_dataset = eval_dataset.map(
        lambda examples: tokenizer(
            *[examples[col] for col in dataset_columns_to_train],
            truncation=True,
            padding=True,
        ),
        batched=True,
    )

    return tokenized_train_dataset, tokenized_eval_dataset


def finetune_llm(
    context: mlrun.MLClientCtx,
    train_dataset: Union[str, mlrun.datastore.DataItem],
    eval_dataset: str = None,
    train_load_dataset_kwargs: dict = {},
    eval_load_dataset_kwargs: dict = {},
    dataset_columns_to_train: Union[str, list] = "text",
    model: Union[str, List[str]] = "huggingface-model",
    tokenizer: Union[str, List[str]] = None,
    deepspeed_config: Union[dict, bool] = False,
    quantization_config: Union[dict, bool] = False,
    lora_config: Union[dict, bool] = False,
    training_config: dict = {},
    model_pretrained_config: dict = {},
    tokenizer_pretrained_config: dict = {},
    data_collator_config: dict = {},
    task: str = "text-generation",
    use_cuda: bool = True,
    framework: str = "pt",
    device_map: str = "auto",
    **kwargs,
):
    """
    Fine-tunes a Language Model (LLM) on a specific task using the provided dataset.
     The function takes various configuration parameters to customize the training process
     and adapt the model to specific tasks using a provided dataset.

    :param context: mlrun context in order to log trained model
    :param dataset_columns_to_train: which columns to pass to the model as inputs
    :param eval_load_dataset_kwargs: kwargs for dataset loading
    :param train_load_dataset_kwargs: kwargs for dataset loading
    :param framework: pt ot tf
    :param use_cuda: use gpu or not
    :param tokenizer_pretrained_config: config to load the pretrained tokenizer
    :param model_pretrained_config: config to load the pretrained model
    :param tokenizer: a tuple containing tokenizer name and class, or str with tokenizer name or path
    :param model: a tuple containing model name and class, or str with model name or path
    :param train_dataset: The train dataset used for fine-tuning the language model.
    :param eval_dataset: The eval dataset used for evaluate the language model during training.
    :param deepspeed_config: Configuration options for DeepSpeed (optional).
    :param quantization_config: Configuration options for model quantization (optional).
    :param lora_config: Configuration options for Low-Rank Approximation (LoRA) (optional).
    :param training_config: Configuration options specific to the fine-tuning training process (optional).
    :param data_collator_config: Configuration options for data collation during training (optional).
    :param task: A description of the specific task the model is being fine-tuned for.
    :param kwargs: Additional keyword arguments.
    """

    # TODO: match forward.keyword to dataset.keyword - check if relevant in new design
    # TODO: add warning for label, and add option to modify dataset col names - check if relevant in new design

    # Look for updates to configs given in kwargs
    configs = {
        ConfigKeys.deepspeed: deepspeed_config,
        ConfigKeys.quantization: quantization_config,
        ConfigKeys.lora: lora_config,
        ConfigKeys.training: training_config,
        ConfigKeys.model_pretrained: model_pretrained_config,
        ConfigKeys.tokenizer_pretrained: tokenizer_pretrained_config,
        ConfigKeys.data_collator: data_collator_config,
    }
    _update_config(dst=configs, src=kwargs)

    # check gpu permission and availability
    if use_cuda:
        if torch.cuda.is_available():
            # Clean gpu cache
            torch.cuda.empty_cache()
        else:
            logger.warning("'use_cuda' is set to True, but no cuda device is available")

    # get model and tokenizer
    model_name, model, tokenizer = _set_model_and_tokenizer(
        model=model,
        tokenizer=tokenizer,
        task=task,
        framework=framework,
        lora_config=configs[ConfigKeys.lora],
        quantization_config=configs[ConfigKeys.quantization],
        use_cuda=use_cuda,
        tokenizer_pretrained_config=tokenizer_pretrained_config,
        model_pretrained_config=configs[ConfigKeys.model_pretrained],
        device_map=device_map,
    )

    # Load datasets
    tokenized_train, tokenized_eval = _prepare_dataset(
        train_dataset=train_dataset,
        eval_dataset=eval_dataset,
        train_load_dataset_kwargs=train_load_dataset_kwargs,
        eval_load_dataset_kwargs=eval_load_dataset_kwargs,
        tokenizer=tokenizer,
        dataset_columns_to_train=dataset_columns_to_train,
    )

    # Initialize the data collator for the trainer to use in order to create batches of data
    data_collator = transformers.DataCollatorForLanguageModeling(
        tokenizer=tokenizer, mlm=False, **data_collator_config
    )

    # Initialize training kwargs from user kwargs:
    train_kwargs = configs[ConfigKeys.training]

    # If deepspeed config given we add it to training kwargs
    if configs[ConfigKeys.deepspeed]:
        train_kwargs["deepspeed"] = configs[ConfigKeys.deepspeed]

    # Take a look at the trainable parameters in the model
    _print_trainable_parameters(model)

    # Preparing training arguments:
    training_args = transformers.TrainingArguments(
        output_dir=tempfile.mkdtemp(),
        **train_kwargs,
    )

    trainer = transformers.Trainer(
        model=model,
        train_dataset=tokenized_train,
        eval_dataset=tokenized_eval,
        tokenizer=tokenizer,
        data_collator=data_collator,
        args=training_args,
    )

    apply_mlrun(trainer, model_name=model_name.split("/")[-1])
    model.config.use_cache = (
        False  # silence the warnings. Please re-enable for inference!
    )

    # Apply training with evaluation:
    context.logger.info(f"training '{model_name}'")
    trainer.train()

    temp_directory = tempfile.TemporaryDirectory().name
    trainer.save_model(temp_directory)

    # Zip the model directory:
    shutil.make_archive(
        base_name="model",
        format="zip",
        root_dir=temp_directory,
    )

    # Log the model:
    context.log_model(
        key="model",
        db_key=model_name.split("/")[-1],
        model_file="model.zip",
        tag="",
        framework="Hugging Face",
    )


def evaluate(
    context,
    model_path,
    data: pd.DataFrame,
    model_name: str = None,
    tokenizer_name: str = None,
):
    """
    Evaluating the model using perplexity, for more information visit:
    https://huggingface.co/docs/transformers/perplexity

    :param context:     mlrun context
    :param model_path:  path to the model directory
    :param data:        the data to evaluate the model
    :param model_name:  name of base model
    :param tokenizer_name: name of base tokenizer
    """
    # Get the model artifact and file:
    (
        model_file,
        model_artifact,
        extra_data,
    ) = mlrun.artifacts.get_model(model_path)

    # Read the name:
    _model_name = model_artifact.spec.db_key

    # Extract logged model files:
    model_directory = os.path.join(os.path.dirname(model_file), _model_name)
    with zipfile.ZipFile(model_file, "r") as zip_file:
        zip_file.extractall(model_directory)

    # Loading the saved pretrained tokenizer and model:
    dataset = Dataset.from_pandas(data)
    tokenizer = AutoTokenizer.from_pretrained(tokenizer_name)
    pad_token_id = tokenizer.eos_token_id
    model = AutoModelForCausalLM.from_pretrained(
        model_name, device_map="cuda:0", trust_remote_code=True, load_in_8bit=True
    )
    model = PeftModel.from_pretrained(model, model_directory)
    model.eval()
    encodings = tokenizer("\n\n".join(dataset["text"][:5]), return_tensors="pt")

    max_length = 1024
    stride = 512
    seq_len = encodings.input_ids.size(1)

    nlls = []
    prev_end_loc = 0
    for begin_loc in range(0, seq_len, stride):
        end_loc = min(begin_loc + max_length, seq_len)
        trg_len = end_loc - prev_end_loc  # may be different from stride on last loop
        input_ids = encodings.input_ids[:, begin_loc:end_loc]
        target_ids = input_ids.clone()
        target_ids[:, :-trg_len] = -100

        with torch.no_grad():
            outputs = model(input_ids.cuda(), labels=target_ids)

            # loss is calculated using CrossEntropyLoss which averages over valid labels
            # N.B. the model only calculates loss over trg_len - 1 labels, because it internally shifts the labels
            # to the left by 1.
            neg_log_likelihood = outputs.loss

        nlls.append(neg_log_likelihood)

        prev_end_loc = end_loc
        if end_loc == seq_len:
            break

    ppl = torch.exp(torch.stack(nlls).mean()).item()
    context.log_result("perplexity", ppl)

+    commands: []
+    code_origin: ''
+    origin_filename: ''
+    requirements: []
+  entry_points:
+    add_interface:
+      name: add_interface
+      doc: ''
+      parameters:
+      - name: cls
+      - name: obj
+        type: Trainer
+      - name: restoration
+        type: MLRunInterfaceRestorationType
+        default: null
+      outputs: []
+      lineno: 70
+      has_varargs: false
+      has_kwargs: false
+    mlrun_train:
+      name: mlrun_train
+      doc: ''
+      parameters:
+      - name: cls
+      outputs: []
+      lineno: 80
+      has_varargs: false
+      has_kwargs: false
+    wrapper:
+      name: wrapper
+      doc: ''
+      parameters:
+      - name: self
+        type: Trainer
+      outputs: []
+      lineno: 81
+      has_varargs: true
+      has_kwargs: true
+    on_epoch_begin:
+      name: on_epoch_begin
+      doc: ''
+      parameters:
+      - name: self
+      - name: args
+        type: TrainingArguments
+      - name: state
+        type: TrainerState
+      - name: control
+        type: TrainerControl
+      outputs: []
+      lineno: 129
+      has_varargs: false
+      has_kwargs: true
+    on_epoch_end:
+      name: on_epoch_end
+      doc: ''
+      parameters:
+      - name: self
+      - name: args
+        type: TrainingArguments
+      - name: state
+        type: TrainerState
+      - name: control
+        type: TrainerControl
+      outputs: []
+      lineno: 140
+      has_varargs: false
+      has_kwargs: true
+    on_log:
+      name: on_log
+      doc: ''
+      parameters:
+      - name: self
+      - name: args
+        type: TrainingArguments
+      - name: state
+        type: TrainerState
+      - name: control
+        type: TrainerControl
+      - name: logs
+        type: Dict[str, float]
+        default: null
+      outputs: []
+      lineno: 151
+      has_varargs: false
+      has_kwargs: true
+    on_train_begin:
+      name: on_train_begin
+      doc: ''
+      parameters:
+      - name: self
+      - name: args
+        type: TrainingArguments
+      - name: state
+        type: TrainerState
+      - name: control
+        type: TrainerControl
+      outputs: []
+      lineno: 177
+      has_varargs: false
+      has_kwargs: true
+    on_train_end:
+      name: on_train_end
+      doc: ''
+      parameters:
+      - name: self
+      - name: args
+        type: TrainingArguments
+      - name: state
+        type: TrainerState
+      - name: control
+        type: TrainerControl
+      - name: model
+        type: PreTrainedModel
+        default: null
+      - name: tokenizer
+        type: PreTrainedTokenizer
+        default: null
+      outputs: []
+      lineno: 188
+      has_varargs: false
+      has_kwargs: true
+    on_evaluate:
+      name: on_evaluate
+      doc: ''
+      parameters:
+      - name: self
+      - name: args
+        type: TrainingArguments
+      - name: state
+        type: TrainerState
+      - name: control
+        type: TrainerControl
+      outputs: []
+      lineno: 201
+      has_varargs: false
+      has_kwargs: true
+    log_metrics:
+      name: log_metrics
+      doc: ''
+      parameters:
+      - name: self
+      outputs: []
+      lineno: 215
+      has_varargs: false
+      has_kwargs: false
+    log_metric_plot:
+      name: log_metric_plot
+      doc: ''
+      parameters:
+      - name: self
+      - name: name
+        type: str
+      - name: scores
+        type: List[float]
+      outputs: []
+      lineno: 222
+      has_varargs: false
+      has_kwargs: false
+    apply_mlrun:
+      name: apply_mlrun
+      doc: This is temporary and will be built in mlrun 1.5.0
+      parameters:
+      - name: trainer
+        type: Trainer
+      - name: model_name
+        type: str
+        default: null
+      - name: tag
+        type: str
+        default: ''
+      - name: context
+        type: MLClientCtx
+        default: null
+      - name: auto_log
+        type: bool
+        default: true
+      - name: labels
+        type: Dict[str, str]
+        default: null
+      - name: extra_data
+        type: dict
+        default: null
+      outputs: []
+      lineno: 244
+      has_varargs: false
+      has_kwargs: true
+    finetune_llm:
+      name: finetune_llm
+      doc: "Fine-tunes a Language Model (LLM) on a specific task using the provided\
+        \ dataset.\n The function takes various configuration parameters to customize\
+        \ the training process\n and adapt the model to specific tasks using a provided\
+        \ dataset."
+      parameters:
+      - name: context
+        type: MLClientCtx
+        doc: mlrun context in order to log trained model
+      - name: train_dataset
+        type: Union[str, mlrun.datastore.DataItem]
+        doc: The train dataset used for fine-tuning the language model.
+      - name: eval_dataset
+        type: str
+        doc: The eval dataset used for evaluate the language model during training.
+        default: null
+      - name: train_load_dataset_kwargs
+        type: dict
+        doc: kwargs for dataset loading
+        default: {}
+      - name: eval_load_dataset_kwargs
+        type: dict
+        doc: kwargs for dataset loading
+        default: {}
+      - name: dataset_columns_to_train
+        type: Union[str, list]
+        doc: which columns to pass to the model as inputs
+        default: text
+      - name: model
+        type: Union[str, List[str]]
+        doc: a tuple containing model name and class, or str with model name or path
+        default: huggingface-model
+      - name: tokenizer
+        type: Union[str, List[str]]
+        doc: a tuple containing tokenizer name and class, or str with tokenizer name
+          or path
+        default: null
+      - name: deepspeed_config
+        type: Union[dict, bool]
+        doc: Configuration options for DeepSpeed (optional).
+        default: false
+      - name: quantization_config
+        type: Union[dict, bool]
+        doc: Configuration options for model quantization (optional).
+        default: false
+      - name: lora_config
+        type: Union[dict, bool]
+        doc: Configuration options for Low-Rank Approximation (LoRA) (optional).
+        default: false
+      - name: training_config
+        type: dict
+        doc: Configuration options specific to the fine-tuning training process (optional).
+        default: {}
+      - name: model_pretrained_config
+        type: dict
+        doc: config to load the pretrained model
+        default: {}
+      - name: tokenizer_pretrained_config
+        type: dict
+        doc: config to load the pretrained tokenizer
+        default: {}
+      - name: data_collator_config
+        type: dict
+        doc: Configuration options for data collation during training (optional).
+        default: {}
+      - name: task
+        type: str
+        doc: A description of the specific task the model is being fine-tuned for.
+        default: text-generation
+      - name: use_cuda
+        type: bool
+        doc: use gpu or not
+        default: true
+      - name: framework
+        type: str
+        doc: pt ot tf
+        default: pt
+      - name: device_map
+        type: str
+        default: auto
+      outputs: []
+      lineno: 630
+      has_varargs: false
+      has_kwargs: true
+    evaluate:
+      name: evaluate
+      doc: 'Evaluating the model using perplexity, for more information visit:
+
+        https://huggingface.co/docs/transformers/perplexity'
+      parameters:
+      - name: context
+        doc: mlrun context
+      - name: model_path
+        doc: path to the model directory
+      - name: data
+        type: DataFrame
+        doc: the data to evaluate the model
+      - name: model_name
+        type: str
+        doc: name of base model
+        default: null
+      - name: tokenizer_name
+        type: str
+        doc: name of base tokenizer
+        default: null
+      outputs: []
+      lineno: 784
+      has_varargs: false
+      has_kwargs: false
+  description: fine-tune llm model with ease
+  default_handler: finetune_llm
+  disable_auto_mount: false
+  clone_target_dir: ''
+  env: []
+  priority_class_name: ''
+  preemption_mode: prevent
+  affinity: null
+  tolerations: null
+  security_context: {}
+verbose: false
+
+        </code>
+    </pre>
+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/huggingface_auto_trainer/1.1.0/static/huggingface_auto_trainer.html b/functions/master/huggingface_auto_trainer/1.1.0/static/huggingface_auto_trainer.html
new file mode 100644
index 00000000..2063d183
--- /dev/null
+++ b/functions/master/huggingface_auto_trainer/1.1.0/static/huggingface_auto_trainer.html
@@ -0,0 +1,995 @@
+
+<!DOCTYPE html>
+
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+<div class="visually-hidden">Toggle in-page Table of Contents</div>
+</label>
+<!-- Headers at the top -->
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+<div class="container-fluid" id="banner"></div>
+<div class="container-xl">
+<div class="row">
+<!-- Sidebar -->
+<div class="bd-sidebar noprint single-page" id="site-navigation">
+</div>
+<!-- A tiny helper pixel to detect if we've scrolled -->
+<div class="sbt-scroll-pixel-helper"></div>
+<!-- Main content -->
+<div class="col py-0 content-container">
+<div class="header-article row sticky-top noprint">
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+</span>
+<span class="headerbtn__text-container">repository</span>
+</a>
+</li>
+<li>
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+</span>
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+<!-- Table of contents -->
+<div class="col-md-3 bd-toc show noprint">
+</div>
+</div>
+<div class="article row">
+<div class="col pl-md-3 pl-lg-5 content-container">
+<!-- Table of contents that is only displayed when printing the page -->
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+<h1></h1>
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+<main id="main-content" role="main">
+<div>
+<h1>Source code for huggingface_auto_trainer.huggingface_auto_trainer</h1><div class="highlight"><pre>
+<span></span><span class="kn">import</span> <span class="nn">importlib</span>
+<span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">import</span> <span class="nn">shutil</span>
+<span class="kn">import</span> <span class="nn">tempfile</span>
+<span class="kn">import</span> <span class="nn">zipfile</span>
+<span class="kn">from</span> <span class="nn">abc</span> <span class="kn">import</span> <span class="n">ABC</span>
+<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Dict</span><span class="p">,</span> <span class="n">List</span><span class="p">,</span> <span class="n">Tuple</span><span class="p">,</span> <span class="n">Union</span>
+
+<span class="kn">import</span> <span class="nn">mlrun</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="kn">import</span> <span class="nn">peft</span>
+<span class="kn">import</span> <span class="nn">torch</span>
+<span class="kn">import</span> <span class="nn">transformers</span>
+<span class="kn">from</span> <span class="nn">datasets</span> <span class="kn">import</span> <span class="n">Dataset</span><span class="p">,</span> <span class="n">load_dataset</span>
+<span class="kn">from</span> <span class="nn">mlrun.artifacts.manager</span> <span class="kn">import</span> <span class="n">Artifact</span><span class="p">,</span> <span class="n">PlotlyArtifact</span>
+<span class="kn">from</span> <span class="nn">mlrun.datastore</span> <span class="kn">import</span> <span class="n">is_store_uri</span>
+<span class="kn">from</span> <span class="nn">mlrun.frameworks._common</span> <span class="kn">import</span> <span class="n">CommonTypes</span><span class="p">,</span> <span class="n">MLRunInterface</span>
+<span class="kn">from</span> <span class="nn">mlrun.utils</span> <span class="kn">import</span> <span class="n">logger</span>
+<span class="kn">from</span> <span class="nn">peft</span> <span class="kn">import</span> <span class="p">(</span><span class="n">LoraConfig</span><span class="p">,</span> <span class="n">PeftModel</span><span class="p">,</span> <span class="n">get_peft_model</span><span class="p">,</span>
+                  <span class="n">prepare_model_for_kbit_training</span><span class="p">)</span>
+<span class="kn">from</span> <span class="nn">plotly</span> <span class="kn">import</span> <span class="n">graph_objects</span> <span class="k">as</span> <span class="n">go</span>
+<span class="kn">from</span> <span class="nn">transformers</span> <span class="kn">import</span> <span class="p">(</span><span class="n">AutoModelForCausalLM</span><span class="p">,</span> <span class="n">AutoTokenizer</span><span class="p">,</span>
+                          <span class="n">BitsAndBytesConfig</span><span class="p">,</span> <span class="n">DataCollatorForLanguageModeling</span><span class="p">,</span>
+                          <span class="n">PreTrainedModel</span><span class="p">,</span> <span class="n">PreTrainedTokenizer</span><span class="p">,</span> <span class="n">Trainer</span><span class="p">,</span>
+                          <span class="n">TrainerCallback</span><span class="p">,</span> <span class="n">TrainerControl</span><span class="p">,</span> <span class="n">TrainerState</span><span class="p">,</span>
+                          <span class="n">TrainingArguments</span><span class="p">)</span>
+
+<span class="n">supported_tasks</span> <span class="o">=</span> <span class="p">[</span>
+    <span class="s2">"question-answering"</span><span class="p">,</span>
+    <span class="s2">"summarization"</span><span class="p">,</span>
+    <span class="s2">"table-question-answering"</span><span class="p">,</span>
+    <span class="s2">"text2text-generation"</span><span class="p">,</span>
+    <span class="s2">"text-classification"</span><span class="p">,</span>
+    <span class="s2">"sentiment-analysis"</span><span class="p">,</span>
+    <span class="s2">"text-generation"</span><span class="p">,</span>
+    <span class="s2">"token-classification"</span><span class="p">,</span>
+    <span class="s2">"translation"</span><span class="p">,</span>
+    <span class="s2">"translation_xx_to_yy"</span><span class="p">,</span>
+<span class="p">]</span>
+
+
+<div class="viewcode-block" id="ConfigKeys"><a class="viewcode-back" href="documentation.html#huggingface_auto_trainer.huggingface_auto_trainer.ConfigKeys">[docs]</a><span class="k">class</span> <span class="nc">ConfigKeys</span><span class="p">:</span>
+    <span class="n">deepspeed</span> <span class="o">=</span> <span class="s2">"deepspeed"</span>
+    <span class="n">quantization</span> <span class="o">=</span> <span class="s2">"quantization"</span>
+    <span class="n">lora</span> <span class="o">=</span> <span class="s2">"lora"</span>
+    <span class="n">training</span> <span class="o">=</span> <span class="s2">"training"</span>
+    <span class="n">tokenizer_pretrained</span> <span class="o">=</span> <span class="s2">"tokenizer_pretrained"</span>
+    <span class="n">model_pretrained</span> <span class="o">=</span> <span class="s2">"model_pretrained"</span>
+    <span class="n">data_collator</span> <span class="o">=</span> <span class="s2">"data_collator"</span></div>
+
+
+<span class="c1"># ----------------------from MLRUN--------------------------------</span>
+<div class="viewcode-block" id="HFTrainerMLRunInterface"><a class="viewcode-back" href="documentation.html#huggingface_auto_trainer.huggingface_auto_trainer.HFTrainerMLRunInterface">[docs]</a><span class="k">class</span> <span class="nc">HFTrainerMLRunInterface</span><span class="p">(</span><span class="n">MLRunInterface</span><span class="p">,</span> <span class="n">ABC</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    This is temporary and will be built in mlrun 1.5.0</span>
+<span class="sd">    Interface for adding MLRun features for tensorflow keras API.</span>
+<span class="sd">    """</span>
+
+    <span class="c1"># MLRuns context default name:</span>
+    <span class="n">DEFAULT_CONTEXT_NAME</span> <span class="o">=</span> <span class="s2">"mlrun-huggingface"</span>
+
+    <span class="c1"># Attributes to replace so the MLRun interface will be fully enabled.</span>
+    <span class="n">_REPLACED_METHODS</span> <span class="o">=</span> <span class="p">[</span>
+        <span class="s2">"train"</span><span class="p">,</span>
+        <span class="c1"># "evaluate"</span>
+    <span class="p">]</span>
+
+<div class="viewcode-block" id="HFTrainerMLRunInterface.add_interface"><a class="viewcode-back" href="documentation.html#huggingface_auto_trainer.huggingface_auto_trainer.HFTrainerMLRunInterface.add_interface">[docs]</a>    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">add_interface</span><span class="p">(</span>
+        <span class="bp">cls</span><span class="p">,</span>
+        <span class="n">obj</span><span class="p">:</span> <span class="n">Trainer</span><span class="p">,</span>
+        <span class="n">restoration</span><span class="p">:</span> <span class="n">CommonTypes</span><span class="o">.</span><span class="n">MLRunInterfaceRestorationType</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="p">):</span>
+        <span class="nb">super</span><span class="p">(</span><span class="n">HFTrainerMLRunInterface</span><span class="p">,</span> <span class="bp">cls</span><span class="p">)</span><span class="o">.</span><span class="n">add_interface</span><span class="p">(</span>
+            <span class="n">obj</span><span class="o">=</span><span class="n">obj</span><span class="p">,</span> <span class="n">restoration</span><span class="o">=</span><span class="n">restoration</span>
+        <span class="p">)</span></div>
+
+<div class="viewcode-block" id="HFTrainerMLRunInterface.mlrun_train"><a class="viewcode-back" href="documentation.html#huggingface_auto_trainer.huggingface_auto_trainer.HFTrainerMLRunInterface.mlrun_train">[docs]</a>    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">mlrun_train</span><span class="p">(</span><span class="bp">cls</span><span class="p">):</span>
+        <span class="k">def</span> <span class="nf">wrapper</span><span class="p">(</span><span class="bp">self</span><span class="p">:</span> <span class="n">Trainer</span><span class="p">,</span> <span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+            <span class="c1"># Restore the evaluation method as `train` will use it:</span>
+            <span class="c1"># cls._restore_attribute(obj=self, attribute_name="evaluate")</span>
+
+            <span class="c1"># Call the original fit method:</span>
+            <span class="n">result</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">original_train</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+
+            <span class="c1"># Replace the evaluation method again:</span>
+            <span class="c1"># cls._replace_function(obj=self, function_name="evaluate")</span>
+
+            <span class="k">return</span> <span class="n">result</span>
+
+        <span class="k">return</span> <span class="n">wrapper</span></div></div>
+
+
+<div class="viewcode-block" id="MLRunCallback"><a class="viewcode-back" href="documentation.html#huggingface_auto_trainer.huggingface_auto_trainer.MLRunCallback">[docs]</a><span class="k">class</span> <span class="nc">MLRunCallback</span><span class="p">(</span><span class="n">TrainerCallback</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    This is temporary and will be built in mlrun 1.5.0</span>
+<span class="sd">    Callback for collecting logs during training / evaluation of the `Trainer` API.</span>
+<span class="sd">    """</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">context</span><span class="p">:</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">MLClientCtx</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+        <span class="n">model_name</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">"model"</span><span class="p">,</span>
+        <span class="n">tag</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">""</span><span class="p">,</span>
+        <span class="n">labels</span><span class="p">:</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+        <span class="n">extra_data</span><span class="p">:</span> <span class="nb">dict</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+
+        <span class="c1"># Store the configurations:</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_context</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="n">context</span>
+            <span class="k">if</span> <span class="n">context</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span>
+            <span class="k">else</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">get_or_create_ctx</span><span class="p">(</span><span class="s2">"./mlrun-huggingface"</span><span class="p">)</span>
+        <span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_model_name</span> <span class="o">=</span> <span class="n">model_name</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_tag</span> <span class="o">=</span> <span class="n">tag</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_labels</span> <span class="o">=</span> <span class="n">labels</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_extra_data</span> <span class="o">=</span> <span class="n">extra_data</span> <span class="k">if</span> <span class="n">extra_data</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="k">else</span> <span class="p">{}</span>
+
+        <span class="c1"># Set up the logging mode:</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_is_training</span> <span class="o">=</span> <span class="kc">False</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_steps</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]]</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_metric_scores</span><span class="p">:</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">List</span><span class="p">[</span><span class="nb">float</span><span class="p">]]</span> <span class="o">=</span> <span class="p">{}</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_artifacts</span><span class="p">:</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">Artifact</span><span class="p">]</span> <span class="o">=</span> <span class="p">{}</span>
+
+<div class="viewcode-block" id="MLRunCallback.on_epoch_begin"><a class="viewcode-back" href="documentation.html#huggingface_auto_trainer.huggingface_auto_trainer.MLRunCallback.on_epoch_begin">[docs]</a>    <span class="k">def</span> <span class="nf">on_epoch_begin</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">args</span><span class="p">:</span> <span class="n">TrainingArguments</span><span class="p">,</span>
+        <span class="n">state</span><span class="p">:</span> <span class="n">TrainerState</span><span class="p">,</span>
+        <span class="n">control</span><span class="p">:</span> <span class="n">TrainerControl</span><span class="p">,</span>
+        <span class="o">**</span><span class="n">kwargs</span><span class="p">,</span>
+    <span class="p">):</span>
+        <span class="k">if</span> <span class="ow">not</span> <span class="n">state</span><span class="o">.</span><span class="n">is_world_process_zero</span><span class="p">:</span>
+            <span class="k">return</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_steps</span><span class="o">.</span><span class="n">append</span><span class="p">([])</span></div>
+
+<div class="viewcode-block" id="MLRunCallback.on_epoch_end"><a class="viewcode-back" href="documentation.html#huggingface_auto_trainer.huggingface_auto_trainer.MLRunCallback.on_epoch_end">[docs]</a>    <span class="k">def</span> <span class="nf">on_epoch_end</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">args</span><span class="p">:</span> <span class="n">TrainingArguments</span><span class="p">,</span>
+        <span class="n">state</span><span class="p">:</span> <span class="n">TrainerState</span><span class="p">,</span>
+        <span class="n">control</span><span class="p">:</span> <span class="n">TrainerControl</span><span class="p">,</span>
+        <span class="o">**</span><span class="n">kwargs</span><span class="p">,</span>
+    <span class="p">):</span>
+        <span class="k">if</span> <span class="ow">not</span> <span class="n">state</span><span class="o">.</span><span class="n">is_world_process_zero</span><span class="p">:</span>
+            <span class="k">return</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">log_metrics</span><span class="p">()</span></div>
+
+<div class="viewcode-block" id="MLRunCallback.on_log"><a class="viewcode-back" href="documentation.html#huggingface_auto_trainer.huggingface_auto_trainer.MLRunCallback.on_log">[docs]</a>    <span class="k">def</span> <span class="nf">on_log</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">args</span><span class="p">:</span> <span class="n">TrainingArguments</span><span class="p">,</span>
+        <span class="n">state</span><span class="p">:</span> <span class="n">TrainerState</span><span class="p">,</span>
+        <span class="n">control</span><span class="p">:</span> <span class="n">TrainerControl</span><span class="p">,</span>
+        <span class="n">logs</span><span class="p">:</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">float</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+        <span class="o">**</span><span class="n">kwargs</span><span class="p">,</span>
+    <span class="p">):</span>
+        <span class="k">if</span> <span class="ow">not</span> <span class="n">state</span><span class="o">.</span><span class="n">is_world_process_zero</span><span class="p">:</span>
+            <span class="k">return</span>
+        <span class="n">recent_logs</span> <span class="o">=</span> <span class="n">state</span><span class="o">.</span><span class="n">log_history</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
+
+        <span class="n">recent_logs</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s2">"epoch"</span><span class="p">)</span>
+        <span class="n">current_step</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">recent_logs</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s2">"step"</span><span class="p">))</span>
+        <span class="k">if</span> <span class="n">current_step</span> <span class="ow">not</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_steps</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_steps</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">current_step</span><span class="p">)</span>
+
+        <span class="k">for</span> <span class="n">metric_name</span><span class="p">,</span> <span class="n">metric_score</span> <span class="ow">in</span> <span class="n">recent_logs</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
+            <span class="k">if</span> <span class="n">metric_name</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"train_"</span><span class="p">):</span>
+                <span class="k">if</span> <span class="n">metric_name</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"train_"</span><span class="p">)[</span><span class="mi">1</span><span class="p">]</span> <span class="ow">not</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_metric_scores</span><span class="p">:</span>
+                    <span class="bp">self</span><span class="o">.</span><span class="n">_metric_scores</span><span class="p">[</span><span class="n">metric_name</span><span class="p">]</span> <span class="o">=</span> <span class="p">[</span><span class="n">metric_score</span><span class="p">]</span>
+                <span class="k">continue</span>
+            <span class="k">if</span> <span class="n">metric_name</span> <span class="ow">not</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_metric_scores</span><span class="p">:</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">_metric_scores</span><span class="p">[</span><span class="n">metric_name</span><span class="p">]</span> <span class="o">=</span> <span class="p">[]</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_metric_scores</span><span class="p">[</span><span class="n">metric_name</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">metric_score</span><span class="p">)</span></div>
+
+<div class="viewcode-block" id="MLRunCallback.on_train_begin"><a class="viewcode-back" href="documentation.html#huggingface_auto_trainer.huggingface_auto_trainer.MLRunCallback.on_train_begin">[docs]</a>    <span class="k">def</span> <span class="nf">on_train_begin</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">args</span><span class="p">:</span> <span class="n">TrainingArguments</span><span class="p">,</span>
+        <span class="n">state</span><span class="p">:</span> <span class="n">TrainerState</span><span class="p">,</span>
+        <span class="n">control</span><span class="p">:</span> <span class="n">TrainerControl</span><span class="p">,</span>
+        <span class="o">**</span><span class="n">kwargs</span><span class="p">,</span>
+    <span class="p">):</span>
+        <span class="k">if</span> <span class="ow">not</span> <span class="n">state</span><span class="o">.</span><span class="n">is_world_process_zero</span><span class="p">:</span>
+            <span class="k">return</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_is_training</span> <span class="o">=</span> <span class="kc">True</span></div>
+
+<div class="viewcode-block" id="MLRunCallback.on_train_end"><a class="viewcode-back" href="documentation.html#huggingface_auto_trainer.huggingface_auto_trainer.MLRunCallback.on_train_end">[docs]</a>    <span class="k">def</span> <span class="nf">on_train_end</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">args</span><span class="p">:</span> <span class="n">TrainingArguments</span><span class="p">,</span>
+        <span class="n">state</span><span class="p">:</span> <span class="n">TrainerState</span><span class="p">,</span>
+        <span class="n">control</span><span class="p">:</span> <span class="n">TrainerControl</span><span class="p">,</span>
+        <span class="n">model</span><span class="p">:</span> <span class="n">PreTrainedModel</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+        <span class="n">tokenizer</span><span class="p">:</span> <span class="n">PreTrainedTokenizer</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+        <span class="o">**</span><span class="n">kwargs</span><span class="p">,</span>
+    <span class="p">):</span>
+        <span class="k">if</span> <span class="ow">not</span> <span class="n">state</span><span class="o">.</span><span class="n">is_world_process_zero</span><span class="p">:</span>
+            <span class="k">return</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">log_metrics</span><span class="p">()</span></div>
+
+<div class="viewcode-block" id="MLRunCallback.on_evaluate"><a class="viewcode-back" href="documentation.html#huggingface_auto_trainer.huggingface_auto_trainer.MLRunCallback.on_evaluate">[docs]</a>    <span class="k">def</span> <span class="nf">on_evaluate</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">args</span><span class="p">:</span> <span class="n">TrainingArguments</span><span class="p">,</span>
+        <span class="n">state</span><span class="p">:</span> <span class="n">TrainerState</span><span class="p">,</span>
+        <span class="n">control</span><span class="p">:</span> <span class="n">TrainerControl</span><span class="p">,</span>
+        <span class="o">**</span><span class="n">kwargs</span><span class="p">,</span>
+    <span class="p">):</span>
+        <span class="k">if</span> <span class="ow">not</span> <span class="n">state</span><span class="o">.</span><span class="n">is_world_process_zero</span><span class="p">:</span>
+            <span class="k">return</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">log_metrics</span><span class="p">()</span>
+
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_is_training</span><span class="p">:</span>
+            <span class="k">return</span></div>
+
+<div class="viewcode-block" id="MLRunCallback.log_metrics"><a class="viewcode-back" href="documentation.html#huggingface_auto_trainer.huggingface_auto_trainer.MLRunCallback.log_metrics">[docs]</a>    <span class="k">def</span> <span class="nf">log_metrics</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="k">for</span> <span class="n">metric_name</span><span class="p">,</span> <span class="n">metric_scores</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_metric_scores</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_context</span><span class="o">.</span><span class="n">log_result</span><span class="p">(</span><span class="n">key</span><span class="o">=</span><span class="n">metric_name</span><span class="p">,</span> <span class="n">value</span><span class="o">=</span><span class="n">metric_scores</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">])</span>
+            <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">metric_scores</span><span class="p">)</span> <span class="o">&gt;</span> <span class="mi">1</span><span class="p">:</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">log_metric_plot</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="n">metric_name</span><span class="p">,</span> <span class="n">scores</span><span class="o">=</span><span class="n">metric_scores</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_context</span><span class="o">.</span><span class="n">commit</span><span class="p">(</span><span class="n">completed</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span></div>
+
+<div class="viewcode-block" id="MLRunCallback.log_metric_plot"><a class="viewcode-back" href="documentation.html#huggingface_auto_trainer.huggingface_auto_trainer.MLRunCallback.log_metric_plot">[docs]</a>    <span class="k">def</span> <span class="nf">log_metric_plot</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">name</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">scores</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">float</span><span class="p">]):</span>
+        <span class="c1"># Initialize a plotly figure:</span>
+        <span class="n">metric_figure</span> <span class="o">=</span> <span class="n">go</span><span class="o">.</span><span class="n">Figure</span><span class="p">()</span>
+
+        <span class="c1"># Add titles:</span>
+        <span class="n">metric_figure</span><span class="o">.</span><span class="n">update_layout</span><span class="p">(</span>
+            <span class="n">title</span><span class="o">=</span><span class="n">name</span><span class="o">.</span><span class="n">capitalize</span><span class="p">()</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"_"</span><span class="p">,</span> <span class="s2">" "</span><span class="p">),</span>
+            <span class="n">xaxis_title</span><span class="o">=</span><span class="s2">"Samples"</span><span class="p">,</span>
+            <span class="n">yaxis_title</span><span class="o">=</span><span class="s2">"Scores"</span><span class="p">,</span>
+        <span class="p">)</span>
+
+        <span class="c1"># Draw:</span>
+        <span class="n">metric_figure</span><span class="o">.</span><span class="n">add_trace</span><span class="p">(</span>
+            <span class="n">go</span><span class="o">.</span><span class="n">Scatter</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">scores</span><span class="p">)),</span> <span class="n">y</span><span class="o">=</span><span class="n">scores</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s2">"lines"</span><span class="p">)</span>
+        <span class="p">)</span>
+
+        <span class="c1"># Create the plotly artifact:</span>
+        <span class="n">artifact_name</span> <span class="o">=</span> <span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">name</span><span class="si">}</span><span class="s2">_plot"</span>
+        <span class="n">artifact</span> <span class="o">=</span> <span class="n">PlotlyArtifact</span><span class="p">(</span><span class="n">key</span><span class="o">=</span><span class="n">artifact_name</span><span class="p">,</span> <span class="n">figure</span><span class="o">=</span><span class="n">metric_figure</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_artifacts</span><span class="p">[</span><span class="n">artifact_name</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_context</span><span class="o">.</span><span class="n">log_artifact</span><span class="p">(</span><span class="n">artifact</span><span class="p">)</span></div></div>
+
+
+<div class="viewcode-block" id="apply_mlrun"><a class="viewcode-back" href="documentation.html#huggingface_auto_trainer.huggingface_auto_trainer.apply_mlrun">[docs]</a><span class="k">def</span> <span class="nf">apply_mlrun</span><span class="p">(</span>
+    <span class="n">trainer</span><span class="p">:</span> <span class="n">transformers</span><span class="o">.</span><span class="n">Trainer</span><span class="p">,</span>
+    <span class="n">model_name</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">tag</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">""</span><span class="p">,</span>
+    <span class="n">context</span><span class="p">:</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">MLClientCtx</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">auto_log</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
+    <span class="n">labels</span><span class="p">:</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">extra_data</span><span class="p">:</span> <span class="nb">dict</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="o">**</span><span class="n">kwargs</span><span class="p">,</span>
+<span class="p">):</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    This is temporary and will be built in mlrun 1.5.0</span>
+<span class="sd">    """</span>
+    <span class="c1"># Get parameters defaults:</span>
+    <span class="k">if</span> <span class="n">context</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+        <span class="n">context</span> <span class="o">=</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">get_or_create_ctx</span><span class="p">(</span><span class="n">HFTrainerMLRunInterface</span><span class="o">.</span><span class="n">DEFAULT_CONTEXT_NAME</span><span class="p">)</span>
+
+    <span class="n">HFTrainerMLRunInterface</span><span class="o">.</span><span class="n">add_interface</span><span class="p">(</span><span class="n">obj</span><span class="o">=</span><span class="n">trainer</span><span class="p">)</span>
+
+    <span class="k">if</span> <span class="n">auto_log</span><span class="p">:</span>
+        <span class="n">trainer</span><span class="o">.</span><span class="n">add_callback</span><span class="p">(</span>
+            <span class="n">MLRunCallback</span><span class="p">(</span>
+                <span class="n">context</span><span class="o">=</span><span class="n">context</span><span class="p">,</span>
+                <span class="n">model_name</span><span class="o">=</span><span class="n">model_name</span><span class="p">,</span>
+                <span class="n">tag</span><span class="o">=</span><span class="n">tag</span><span class="p">,</span>
+                <span class="n">labels</span><span class="o">=</span><span class="n">labels</span><span class="p">,</span>
+                <span class="n">extra_data</span><span class="o">=</span><span class="n">extra_data</span><span class="p">,</span>
+            <span class="p">)</span>
+        <span class="p">)</span></div>
+
+
+<span class="c1"># ----------------------end from MLRUN--------------------------------</span>
+
+
+<span class="k">def</span> <span class="nf">_print_trainable_parameters</span><span class="p">(</span><span class="n">model</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    Prints the number of trainable parameters in the model.</span>
+<span class="sd">    """</span>
+    <span class="n">trainable_params</span> <span class="o">=</span> <span class="mi">0</span>
+    <span class="n">all_param</span> <span class="o">=</span> <span class="mi">0</span>
+    <span class="k">for</span> <span class="n">_</span><span class="p">,</span> <span class="n">param</span> <span class="ow">in</span> <span class="n">model</span><span class="o">.</span><span class="n">named_parameters</span><span class="p">():</span>
+        <span class="n">all_param</span> <span class="o">+=</span> <span class="n">param</span><span class="o">.</span><span class="n">numel</span><span class="p">()</span>
+        <span class="k">if</span> <span class="n">param</span><span class="o">.</span><span class="n">requires_grad</span><span class="p">:</span>
+            <span class="n">trainable_params</span> <span class="o">+=</span> <span class="n">param</span><span class="o">.</span><span class="n">numel</span><span class="p">()</span>
+    <span class="nb">print</span><span class="p">(</span>
+        <span class="sa">f</span><span class="s2">"trainable params: </span><span class="si">{</span><span class="n">trainable_params</span><span class="si">}</span><span class="s2"> || all params: </span><span class="si">{</span><span class="n">all_param</span><span class="si">}</span><span class="s2"> || trainable%:"</span>
+        <span class="sa">f</span><span class="s2">" </span><span class="si">{</span><span class="mi">100</span><span class="w"> </span><span class="o">*</span><span class="w"> </span><span class="n">trainable_params</span><span class="w"> </span><span class="o">/</span><span class="w"> </span><span class="n">all_param</span><span class="si">}</span><span class="s2">"</span>
+    <span class="p">)</span>
+
+
+<span class="c1"># default configs</span>
+<span class="c1"># will be used if user provides "True" with config name as input</span>
+<span class="n">QUANTIZATION_CONFIG</span> <span class="o">=</span> <span class="n">transformers</span><span class="o">.</span><span class="n">BitsAndBytesConfig</span><span class="p">(</span>
+    <span class="n">load_in_4bit</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+    <span class="n">bnb_4bit_use_double_quant</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+    <span class="n">bnb_4bit_quant_type</span><span class="o">=</span><span class="s2">"nf4"</span><span class="p">,</span>
+    <span class="n">bnb_4bit_compute_dtype</span><span class="o">=</span><span class="n">torch</span><span class="o">.</span><span class="n">bfloat16</span><span class="p">,</span>
+<span class="p">)</span>
+
+<span class="n">LORA_CONFIG</span> <span class="o">=</span> <span class="n">peft</span><span class="o">.</span><span class="n">LoraConfig</span><span class="p">(</span>
+    <span class="n">r</span><span class="o">=</span><span class="mi">8</span><span class="p">,</span>
+    <span class="n">lora_alpha</span><span class="o">=</span><span class="mi">32</span><span class="p">,</span>
+    <span class="n">target_modules</span><span class="o">=</span><span class="p">[</span><span class="s2">"query_key_value"</span><span class="p">],</span>
+    <span class="n">lora_dropout</span><span class="o">=</span><span class="mf">0.05</span><span class="p">,</span>
+    <span class="n">bias</span><span class="o">=</span><span class="s2">"none"</span><span class="p">,</span>
+    <span class="n">task_type</span><span class="o">=</span><span class="s2">"CAUSAL_LM"</span><span class="p">,</span>
+<span class="p">)</span>
+
+<span class="n">DEEPSPEED_CONFIG</span> <span class="o">=</span> <span class="p">{</span>
+    <span class="s2">"train_micro_batch_size_per_gpu"</span><span class="p">:</span> <span class="s2">"auto"</span><span class="p">,</span>
+    <span class="s2">"fp16"</span><span class="p">:</span> <span class="p">{</span><span class="s2">"enabled"</span><span class="p">:</span> <span class="kc">True</span><span class="p">},</span>
+    <span class="s2">"autotuning"</span><span class="p">:</span> <span class="p">{</span>
+        <span class="s2">"enabled"</span><span class="p">:</span> <span class="kc">True</span><span class="p">,</span>
+        <span class="s2">"arg_mappings"</span><span class="p">:</span> <span class="p">{</span>
+            <span class="s2">"train_micro_batch_size_per_gpu"</span><span class="p">:</span> <span class="s2">"--per_device_train_batch_size"</span><span class="p">,</span>
+            <span class="s2">"gradient_accumulation_steps "</span><span class="p">:</span> <span class="s2">"--gradient_accumulation_steps"</span><span class="p">,</span>
+        <span class="p">},</span>
+    <span class="p">},</span>
+    <span class="s2">"zero_optimization"</span><span class="p">:</span> <span class="p">{</span>
+        <span class="s2">"stage"</span><span class="p">:</span> <span class="mi">2</span><span class="p">,</span>
+    <span class="p">},</span>
+<span class="p">}</span>
+
+
+<span class="k">def</span> <span class="nf">_update_config</span><span class="p">(</span><span class="n">src</span><span class="p">:</span> <span class="nb">dict</span><span class="p">,</span> <span class="n">dst</span><span class="p">:</span> <span class="nb">dict</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    update configs according to user, this way the user can add/modify values in default configs for e.g.</span>
+
+<span class="sd">    goes over all configs and corresponding prefixes, collect all the keys from the given dict that start</span>
+<span class="sd">     with the prefix and add them to appropriate config</span>
+
+<span class="sd">    :param src: dict of all candidate values to update dict.</span>
+<span class="sd">    :param dst: dict containing all configs to update.</span>
+<span class="sd">    """</span>
+
+    <span class="k">for</span> <span class="n">config_name</span><span class="p">,</span> <span class="n">config</span> <span class="ow">in</span> <span class="n">dst</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
+
+        <span class="c1"># If given True we use default dict</span>
+        <span class="c1"># Can also be False or a config dict given from user, so we check specifically fo True</span>
+        <span class="k">if</span> <span class="n">config</span> <span class="ow">is</span> <span class="kc">True</span> <span class="ow">and</span> <span class="n">config_name</span> <span class="o">==</span> <span class="s2">"quantization"</span><span class="p">:</span>
+            <span class="n">config</span> <span class="o">=</span> <span class="n">QUANTIZATION_CONFIG</span>
+
+        <span class="k">if</span> <span class="n">config</span> <span class="ow">is</span> <span class="kc">True</span> <span class="ow">and</span> <span class="n">config_name</span> <span class="o">==</span> <span class="s2">"lora"</span><span class="p">:</span>
+            <span class="n">config</span> <span class="o">=</span> <span class="n">LORA_CONFIG</span>
+
+        <span class="k">if</span> <span class="n">config</span> <span class="ow">is</span> <span class="kc">True</span> <span class="ow">and</span> <span class="n">config_name</span> <span class="o">==</span> <span class="s2">"deepspeed"</span><span class="p">:</span>
+            <span class="n">config</span> <span class="o">=</span> <span class="n">DEEPSPEED_CONFIG</span>
+
+        <span class="c1"># in some cases we can get a boolean value, in that case no need to look for args</span>
+        <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">config</span><span class="p">,</span> <span class="nb">bool</span><span class="p">):</span>
+            <span class="n">config</span> <span class="o">=</span> <span class="kc">None</span>
+
+        <span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">config</span><span class="p">,</span> <span class="nb">dict</span><span class="p">):</span>
+            <span class="k">for</span> <span class="n">key</span><span class="p">,</span> <span class="n">val</span> <span class="ow">in</span> <span class="n">src</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
+                <span class="k">if</span> <span class="n">key</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="n">config_name</span><span class="p">):</span>
+                    <span class="n">config</span><span class="p">[</span><span class="n">key</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">config_name</span><span class="si">}</span><span class="s2">_"</span><span class="p">,</span> <span class="s2">""</span><span class="p">)]</span> <span class="o">=</span> <span class="n">val</span>
+
+        <span class="c1"># update by config name</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="k">for</span> <span class="n">key</span><span class="p">,</span> <span class="n">val</span> <span class="ow">in</span> <span class="n">src</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
+                <span class="k">if</span> <span class="n">key</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="n">config_name</span><span class="p">):</span>
+                    <span class="nb">setattr</span><span class="p">(</span><span class="n">config</span><span class="p">,</span> <span class="n">key</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">config_name</span><span class="si">}</span><span class="s2">_"</span><span class="p">,</span> <span class="s2">""</span><span class="p">),</span> <span class="n">val</span><span class="p">)</span>
+
+        <span class="n">dst</span><span class="o">.</span><span class="n">update</span><span class="p">({</span><span class="n">config_name</span><span class="p">:</span> <span class="n">config</span><span class="p">})</span>
+
+
+<span class="k">def</span> <span class="nf">_get_class_object</span><span class="p">(</span><span class="n">class_path</span><span class="p">:</span> <span class="nb">str</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">type</span><span class="p">:</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    given a full class name, this function returns the correct class</span>
+
+<span class="sd">    :param class_path: a full class name (ex. 'transformers.AutoModelForCausalLM')</span>
+
+<span class="sd">    :return the wanted class object</span>
+<span class="sd">    """</span>
+    <span class="n">module_path</span><span class="p">,</span> <span class="n">class_name</span> <span class="o">=</span> <span class="n">class_path</span><span class="o">.</span><span class="n">rsplit</span><span class="p">(</span><span class="s2">"."</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
+    <span class="n">module</span> <span class="o">=</span> <span class="n">importlib</span><span class="o">.</span><span class="n">import_module</span><span class="p">(</span><span class="n">module_path</span><span class="p">)</span>
+    <span class="k">return</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">module</span><span class="p">,</span> <span class="n">class_name</span><span class="p">)</span>
+
+
+<span class="k">def</span> <span class="nf">_set_model_and_tokenizer</span><span class="p">(</span>
+    <span class="n">model</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">]],</span>
+    <span class="n">tokenizer</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">]],</span>
+    <span class="n">task</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
+    <span class="n">framework</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
+    <span class="n">lora_config</span><span class="p">:</span> <span class="nb">dict</span><span class="p">,</span>
+    <span class="n">quantization_config</span><span class="p">:</span> <span class="nb">dict</span><span class="p">,</span>
+    <span class="n">use_cuda</span><span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
+    <span class="n">tokenizer_pretrained_config</span><span class="p">,</span>
+    <span class="n">model_pretrained_config</span><span class="p">,</span>
+    <span class="n">device_map</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
+<span class="p">):</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    get the correct model and tokenizer according to given user inputs</span>
+
+<span class="sd">    :param model: a tuple containing model name and class, or str with model name or path</span>
+<span class="sd">    :param tokenizer: a tuple containing tokenizer name and class, or str with tokenizer name or path</span>
+<span class="sd">    :param task: a supported nlp task, used to choose model if not provided</span>
+<span class="sd">    :param framework: pt or tf</span>
+<span class="sd">    :param lora_config: lora config or None, to load model in appropriate way</span>
+<span class="sd">    :param quantization_config: quantization config or None, to load model in appropriate way</span>
+<span class="sd">    :param use_cuda: use gpu or not</span>
+<span class="sd">    :param tokenizer_pretrained_config: config to load the pretrained tokenizer</span>
+<span class="sd">    :param model_pretrained_config: config to load the pretrained model</span>
+<span class="sd">    :param device_map: a device map for model training if using number of gpu's</span>
+
+<span class="sd">    :returns: model and tokenizer</span>
+<span class="sd">    """</span>
+    <span class="c1"># if task is not supported and no model was given we can't choose one</span>
+    <span class="k">if</span> <span class="n">task</span> <span class="ow">and</span> <span class="n">task</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">supported_tasks</span> <span class="ow">and</span> <span class="ow">not</span> <span class="n">model</span><span class="p">:</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="s2">"unsupported task option chosen"</span><span class="p">)</span>
+        <span class="k">raise</span>
+
+    <span class="c1"># load model from store</span>
+    <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="nb">str</span><span class="p">)</span> <span class="ow">and</span> <span class="n">is_store_uri</span><span class="p">(</span><span class="n">model</span><span class="p">):</span>
+        <span class="k">pass</span>
+        <span class="c1"># TODO: load both model and tokenizer and return, need guy's help</span>
+
+    <span class="c1"># if it's a tuple them we assume it contains of both name and class</span>
+    <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="nb">list</span><span class="p">):</span>
+        <span class="n">model_name</span><span class="p">,</span> <span class="n">model_class</span> <span class="o">=</span> <span class="n">model</span>
+        <span class="n">model_class</span> <span class="o">=</span> <span class="n">_get_class_object</span><span class="p">(</span><span class="n">model_class</span><span class="p">)</span>
+
+    <span class="c1"># in the case we don't get the model class we need the task in order to choose the correct model</span>
+    <span class="k">else</span><span class="p">:</span>
+        <span class="k">if</span> <span class="n">task</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="s2">"task must be chosen in order to determine the correct model"</span><span class="p">)</span>
+            <span class="k">raise</span> <span class="ne">Exception</span><span class="p">(</span>
+                <span class="s2">"this function requires either a supported task or a model and model class to be chosen"</span>
+            <span class="p">)</span>
+
+        <span class="n">_</span><span class="p">,</span> <span class="n">available_classes</span><span class="p">,</span> <span class="n">task_options</span> <span class="o">=</span> <span class="n">transformers</span><span class="o">.</span><span class="n">pipelines</span><span class="o">.</span><span class="n">check_task</span><span class="p">(</span><span class="n">task</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="nb">str</span><span class="p">):</span>
+            <span class="n">model_name</span> <span class="o">=</span> <span class="n">model</span>
+
+        <span class="c1"># if model is not given, we take the default model for the given task</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">model_name</span><span class="p">,</span> <span class="n">_</span> <span class="o">=</span> <span class="n">transformers</span><span class="o">.</span><span class="n">pipelines</span><span class="o">.</span><span class="n">get_default_model_and_revision</span><span class="p">(</span>
+                <span class="n">available_classes</span><span class="p">,</span> <span class="n">framework</span><span class="p">,</span> <span class="n">task_options</span>
+            <span class="p">)</span>
+        <span class="k">if</span> <span class="ow">not</span> <span class="n">available_classes</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="n">framework</span><span class="p">,</span> <span class="nb">tuple</span><span class="p">()):</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span>
+                <span class="s2">"given task's default model is not supported in specified framework"</span>
+            <span class="p">)</span>
+            <span class="k">raise</span> <span class="ne">Exception</span><span class="p">(</span>
+                <span class="s2">"this function requires either a supported task or a model and model class to be chosen"</span>
+            <span class="p">)</span>
+
+        <span class="n">model_class</span> <span class="o">=</span> <span class="n">available_classes</span><span class="p">[</span><span class="n">framework</span><span class="p">][</span><span class="mi">0</span><span class="p">]</span>
+
+    <span class="c1"># load the pretrained model</span>
+    <span class="k">if</span> <span class="n">use_cuda</span><span class="p">:</span>
+        <span class="n">device_map</span> <span class="o">=</span> <span class="n">device_map</span>
+    <span class="k">else</span><span class="p">:</span>
+        <span class="n">device_map</span> <span class="o">=</span> <span class="kc">None</span>
+
+    <span class="n">model</span> <span class="o">=</span> <span class="n">model_class</span><span class="o">.</span><span class="n">from_pretrained</span><span class="p">(</span>
+        <span class="n">model_name</span><span class="p">,</span>
+        <span class="n">quantization_config</span><span class="o">=</span><span class="n">quantization_config</span><span class="p">,</span>
+        <span class="n">device_map</span><span class="o">=</span><span class="n">device_map</span><span class="p">,</span>
+        <span class="o">**</span><span class="n">model_pretrained_config</span><span class="p">,</span>
+    <span class="p">)</span>
+
+    <span class="c1"># If quantization config is given we will load a quantized model, if not a regular one</span>
+    <span class="k">if</span> <span class="n">quantization_config</span><span class="p">:</span>
+        <span class="n">model</span><span class="o">.</span><span class="n">gradient_checkpointing_enable</span><span class="p">()</span>
+        <span class="n">model</span> <span class="o">=</span> <span class="n">peft</span><span class="o">.</span><span class="n">prepare_model_for_kbit_training</span><span class="p">(</span><span class="n">model</span><span class="p">)</span>
+
+    <span class="c1"># If lora config was given we want to do lora fine tune, we update model here</span>
+    <span class="k">if</span> <span class="n">lora_config</span><span class="p">:</span>
+        <span class="n">model</span> <span class="o">=</span> <span class="n">peft</span><span class="o">.</span><span class="n">get_peft_model</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">lora_config</span><span class="p">)</span>
+
+    <span class="c1"># if not specified we choose the default tokenizer that corresponding to the model</span>
+    <span class="k">if</span> <span class="n">tokenizer</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+        <span class="n">tokenizer</span> <span class="o">=</span> <span class="n">transformers</span><span class="o">.</span><span class="n">AutoTokenizer</span><span class="o">.</span><span class="n">from_pretrained</span><span class="p">(</span><span class="n">model_name</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">model_name</span><span class="p">,</span> <span class="n">model</span><span class="p">,</span> <span class="n">tokenizer</span>
+
+    <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">tokenizer</span><span class="p">,</span> <span class="nb">str</span><span class="p">):</span>
+        <span class="n">tokenizer_name</span> <span class="o">=</span> <span class="n">tokenizer</span>
+        <span class="n">tokenizer_class</span> <span class="o">=</span> <span class="n">transformers</span><span class="o">.</span><span class="n">AutoTokenizer</span>
+
+    <span class="c1"># if it's not a str then it's a tuple of both name and class</span>
+    <span class="k">else</span><span class="p">:</span>
+        <span class="n">tokenizer_name</span><span class="p">,</span> <span class="n">tokenizer_class</span> <span class="o">=</span> <span class="n">tokenizer</span>
+        <span class="n">tokenizer_class</span> <span class="o">=</span> <span class="n">_get_class_object</span><span class="p">(</span><span class="n">tokenizer_class</span><span class="p">)</span>
+
+    <span class="n">tokenizer</span> <span class="o">=</span> <span class="n">tokenizer_class</span><span class="o">.</span><span class="n">from_pretrained</span><span class="p">(</span>
+        <span class="n">tokenizer_name</span><span class="p">,</span> <span class="o">**</span><span class="n">tokenizer_pretrained_config</span>
+    <span class="p">)</span>
+
+    <span class="n">tokenizer</span><span class="o">.</span><span class="n">pad_token</span> <span class="o">=</span> <span class="n">tokenizer</span><span class="o">.</span><span class="n">eos_token</span>
+
+    <span class="k">return</span> <span class="n">model_name</span><span class="p">,</span> <span class="n">model</span><span class="p">,</span> <span class="n">tokenizer</span>
+
+
+<span class="k">def</span> <span class="nf">_dataset_loader</span><span class="p">(</span><span class="n">dataset</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">is_train</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Dataset</span><span class="p">:</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    loads the specific dataset provided by the user</span>
+
+<span class="sd">    :param dataset: name or path of dataset to load</span>
+<span class="sd">    :param is_train: bool that indicates the purpose of the dataset</span>
+<span class="sd">    :param kwargs: other kwargs for loading the dataset</span>
+
+<span class="sd">    :returns: loaded dataset</span>
+<span class="sd">    """</span>
+    <span class="c1"># if split in kwargs then the user decides how to split the dataset</span>
+    <span class="k">if</span> <span class="s2">"split"</span> <span class="ow">in</span> <span class="n">kwargs</span><span class="p">:</span>
+        <span class="k">return</span> <span class="n">load_dataset</span><span class="p">(</span><span class="n">dataset</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+
+    <span class="c1"># if it's a dataset for train we split with train</span>
+    <span class="k">if</span> <span class="n">is_train</span><span class="p">:</span>
+        <span class="k">return</span> <span class="n">load_dataset</span><span class="p">(</span><span class="n">dataset</span><span class="p">,</span> <span class="n">split</span><span class="o">=</span><span class="s2">"train"</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+
+    <span class="c1"># if it's eval dataset, then a lot of names are acceptable for the set and we check all of them</span>
+    <span class="n">dataset</span> <span class="o">=</span> <span class="n">load_dataset</span><span class="p">(</span><span class="n">dataset</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+    <span class="k">if</span> <span class="s2">"test"</span> <span class="ow">in</span> <span class="n">dataset</span><span class="p">:</span>
+        <span class="k">return</span> <span class="n">dataset</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"test"</span><span class="p">)</span>
+    <span class="k">elif</span> <span class="s2">"eval"</span> <span class="ow">in</span> <span class="n">dataset</span><span class="p">:</span>
+        <span class="k">return</span> <span class="n">dataset</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"eval"</span><span class="p">)</span>
+    <span class="k">elif</span> <span class="s2">"validation"</span> <span class="ow">in</span> <span class="n">dataset</span><span class="p">:</span>
+        <span class="k">return</span> <span class="n">dataset</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"validation"</span><span class="p">)</span>
+
+
+<span class="k">def</span> <span class="nf">_prepare_dataset</span><span class="p">(</span>
+    <span class="n">train_dataset</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
+    <span class="n">eval_dataset</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
+    <span class="n">train_load_dataset_kwargs</span><span class="p">,</span>
+    <span class="n">eval_load_dataset_kwargs</span><span class="p">,</span>
+    <span class="n">tokenizer</span><span class="p">,</span>
+    <span class="n">dataset_columns_to_train</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">list</span><span class="p">],</span>
+<span class="p">)</span> <span class="o">-&gt;</span> <span class="p">(</span><span class="n">Dataset</span><span class="p">,</span> <span class="n">Union</span><span class="p">[</span><span class="n">Dataset</span><span class="p">,</span> <span class="kc">None</span><span class="p">]):</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    Loads the train and eval datasets (if provided) passes them through the tokenizer and</span>
+<span class="sd">    returns them ready to use in training</span>
+
+<span class="sd">    :param train_dataset: the name or path to the train dataset</span>
+<span class="sd">    :param eval_dataset: the name or path to the eval dataset</span>
+<span class="sd">    :param dataset_columns_to_train: which columns to pass to the model as inputs</span>
+<span class="sd">                                        (need to pass through the tokenizer first)</span>
+<span class="sd">    :param train_load_dataset_kwargs: kwargs for dataset loading</span>
+<span class="sd">    :param eval_load_dataset_kwargs: kwargs for dataset loading</span>
+<span class="sd">    :param tokenizer: the tokenizer to pass the data through</span>
+
+<span class="sd">    :returns: tokenized datasets</span>
+<span class="sd">    """</span>
+    <span class="k">if</span> <span class="ow">not</span> <span class="n">tokenizer</span><span class="o">.</span><span class="n">pad_token</span><span class="p">:</span>
+        <span class="n">tokenizer</span><span class="o">.</span><span class="n">pad_token</span> <span class="o">=</span> <span class="n">tokenizer</span><span class="o">.</span><span class="n">eos_token</span>
+
+    <span class="c1"># we take col name/s in a list for easy generalization</span>
+    <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">dataset_columns_to_train</span><span class="p">,</span> <span class="nb">str</span><span class="p">):</span>
+        <span class="n">dataset_columns_to_train</span> <span class="o">=</span> <span class="p">[</span><span class="n">dataset_columns_to_train</span><span class="p">]</span>
+
+    <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">train_dataset</span><span class="p">,</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">datastore</span><span class="o">.</span><span class="n">DataItem</span><span class="p">):</span>
+        <span class="n">train_dataset</span> <span class="o">=</span> <span class="n">Dataset</span><span class="o">.</span><span class="n">from_pandas</span><span class="p">(</span><span class="n">train_dataset</span><span class="o">.</span><span class="n">as_df</span><span class="p">())</span>
+        <span class="k">return</span> <span class="p">(</span>
+            <span class="n">train_dataset</span><span class="o">.</span><span class="n">map</span><span class="p">(</span>
+                <span class="k">lambda</span> <span class="n">examples</span><span class="p">:</span> <span class="n">tokenizer</span><span class="p">(</span>
+                    <span class="o">*</span><span class="p">[</span><span class="n">examples</span><span class="p">[</span><span class="n">col</span><span class="p">]</span> <span class="k">for</span> <span class="n">col</span> <span class="ow">in</span> <span class="n">dataset_columns_to_train</span><span class="p">],</span>
+                    <span class="n">truncation</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+                    <span class="n">padding</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+                <span class="p">),</span>
+                <span class="n">batched</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+            <span class="p">),</span>
+            <span class="kc">None</span><span class="p">,</span>
+        <span class="p">)</span>
+
+    <span class="c1"># Load datasets</span>
+    <span class="c1"># if provided two paths/names we load each separately using designated func</span>
+    <span class="k">if</span> <span class="n">eval_dataset</span><span class="p">:</span>
+        <span class="n">train_dataset</span> <span class="o">=</span> <span class="n">_dataset_loader</span><span class="p">(</span>
+            <span class="n">dataset</span><span class="o">=</span><span class="n">train_dataset</span><span class="p">,</span> <span class="n">is_train</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="o">**</span><span class="n">train_load_dataset_kwargs</span>
+        <span class="p">)</span>
+        <span class="n">eval_dataset</span> <span class="o">=</span> <span class="n">_dataset_loader</span><span class="p">(</span>
+            <span class="n">dataset</span><span class="o">=</span><span class="n">eval_dataset</span><span class="p">,</span> <span class="n">is_train</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="o">**</span><span class="n">eval_load_dataset_kwargs</span>
+        <span class="p">)</span>
+
+    <span class="c1"># if only on path is given then we must check if it contains both dataset or if only one should be used</span>
+    <span class="k">else</span><span class="p">:</span>
+        <span class="n">dataset</span> <span class="o">=</span> <span class="n">load_dataset</span><span class="p">(</span><span class="n">train_dataset</span><span class="p">,</span> <span class="o">**</span><span class="n">train_load_dataset_kwargs</span><span class="p">)</span>
+        <span class="k">if</span> <span class="s2">"train"</span> <span class="ow">in</span> <span class="n">dataset</span><span class="p">:</span>
+            <span class="n">train_dataset</span> <span class="o">=</span> <span class="n">dataset</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"train"</span><span class="p">)</span>
+            <span class="k">if</span> <span class="s2">"test"</span> <span class="ow">in</span> <span class="n">dataset</span><span class="p">:</span>
+                <span class="n">eval_dataset</span> <span class="o">=</span> <span class="n">dataset</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"test"</span><span class="p">)</span>
+            <span class="k">elif</span> <span class="s2">"eval"</span> <span class="ow">in</span> <span class="n">dataset</span><span class="p">:</span>
+                <span class="n">eval_dataset</span> <span class="o">=</span> <span class="n">dataset</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"eval"</span><span class="p">)</span>
+            <span class="k">elif</span> <span class="s2">"validation"</span> <span class="ow">in</span> <span class="n">dataset</span><span class="p">:</span>
+                <span class="n">eval_dataset</span> <span class="o">=</span> <span class="n">dataset</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"validation"</span><span class="p">)</span>
+            <span class="k">else</span><span class="p">:</span>
+                <span class="c1"># only train dataset given, tokenize and return it</span>
+                <span class="k">return</span> <span class="p">(</span>
+                    <span class="n">train_dataset</span><span class="o">.</span><span class="n">map</span><span class="p">(</span>
+                        <span class="k">lambda</span> <span class="n">examples</span><span class="p">:</span> <span class="n">tokenizer</span><span class="p">(</span>
+                            <span class="o">*</span><span class="p">[</span><span class="n">examples</span><span class="p">[</span><span class="n">col</span><span class="p">]</span> <span class="k">for</span> <span class="n">col</span> <span class="ow">in</span> <span class="n">dataset_columns_to_train</span><span class="p">],</span>
+                            <span class="n">truncation</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+                            <span class="n">padding</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+                        <span class="p">),</span>
+                        <span class="n">batched</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+                    <span class="p">),</span>
+                    <span class="kc">None</span><span class="p">,</span>
+                <span class="p">)</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="s2">"train dataset is mandatory"</span><span class="p">)</span>
+            <span class="k">raise</span> <span class="ne">KeyError</span><span class="p">(</span><span class="s2">"no train dataset found in given dataset"</span><span class="p">)</span>
+
+    <span class="c1"># Tokenize the data so the model can understand it</span>
+    <span class="n">tokenized_train_dataset</span> <span class="o">=</span> <span class="n">train_dataset</span><span class="o">.</span><span class="n">map</span><span class="p">(</span>
+        <span class="k">lambda</span> <span class="n">examples</span><span class="p">:</span> <span class="n">tokenizer</span><span class="p">(</span>
+            <span class="o">*</span><span class="p">[</span><span class="n">examples</span><span class="p">[</span><span class="n">col</span><span class="p">]</span> <span class="k">for</span> <span class="n">col</span> <span class="ow">in</span> <span class="n">dataset_columns_to_train</span><span class="p">],</span>
+            <span class="n">truncation</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+            <span class="n">padding</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+        <span class="p">),</span>
+        <span class="n">batched</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+    <span class="p">)</span>
+
+    <span class="n">tokenized_eval_dataset</span> <span class="o">=</span> <span class="n">eval_dataset</span><span class="o">.</span><span class="n">map</span><span class="p">(</span>
+        <span class="k">lambda</span> <span class="n">examples</span><span class="p">:</span> <span class="n">tokenizer</span><span class="p">(</span>
+            <span class="o">*</span><span class="p">[</span><span class="n">examples</span><span class="p">[</span><span class="n">col</span><span class="p">]</span> <span class="k">for</span> <span class="n">col</span> <span class="ow">in</span> <span class="n">dataset_columns_to_train</span><span class="p">],</span>
+            <span class="n">truncation</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+            <span class="n">padding</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+        <span class="p">),</span>
+        <span class="n">batched</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+    <span class="p">)</span>
+
+    <span class="k">return</span> <span class="n">tokenized_train_dataset</span><span class="p">,</span> <span class="n">tokenized_eval_dataset</span>
+
+
+<div class="viewcode-block" id="finetune_llm"><a class="viewcode-back" href="documentation.html#huggingface_auto_trainer.huggingface_auto_trainer.finetune_llm">[docs]</a><span class="k">def</span> <span class="nf">finetune_llm</span><span class="p">(</span>
+    <span class="n">context</span><span class="p">:</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">MLClientCtx</span><span class="p">,</span>
+    <span class="n">train_dataset</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">datastore</span><span class="o">.</span><span class="n">DataItem</span><span class="p">],</span>
+    <span class="n">eval_dataset</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">train_load_dataset_kwargs</span><span class="p">:</span> <span class="nb">dict</span> <span class="o">=</span> <span class="p">{},</span>
+    <span class="n">eval_load_dataset_kwargs</span><span class="p">:</span> <span class="nb">dict</span> <span class="o">=</span> <span class="p">{},</span>
+    <span class="n">dataset_columns_to_train</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">list</span><span class="p">]</span> <span class="o">=</span> <span class="s2">"text"</span><span class="p">,</span>
+    <span class="n">model</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">]]</span> <span class="o">=</span> <span class="s2">"huggingface-model"</span><span class="p">,</span>
+    <span class="n">tokenizer</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">]]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">deepspeed_config</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">dict</span><span class="p">,</span> <span class="nb">bool</span><span class="p">]</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
+    <span class="n">quantization_config</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">dict</span><span class="p">,</span> <span class="nb">bool</span><span class="p">]</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
+    <span class="n">lora_config</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">dict</span><span class="p">,</span> <span class="nb">bool</span><span class="p">]</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
+    <span class="n">training_config</span><span class="p">:</span> <span class="nb">dict</span> <span class="o">=</span> <span class="p">{},</span>
+    <span class="n">model_pretrained_config</span><span class="p">:</span> <span class="nb">dict</span> <span class="o">=</span> <span class="p">{},</span>
+    <span class="n">tokenizer_pretrained_config</span><span class="p">:</span> <span class="nb">dict</span> <span class="o">=</span> <span class="p">{},</span>
+    <span class="n">data_collator_config</span><span class="p">:</span> <span class="nb">dict</span> <span class="o">=</span> <span class="p">{},</span>
+    <span class="n">task</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">"text-generation"</span><span class="p">,</span>
+    <span class="n">use_cuda</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
+    <span class="n">framework</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">"pt"</span><span class="p">,</span>
+    <span class="n">device_map</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">"auto"</span><span class="p">,</span>
+    <span class="o">**</span><span class="n">kwargs</span><span class="p">,</span>
+<span class="p">):</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    Fine-tunes a Language Model (LLM) on a specific task using the provided dataset.</span>
+<span class="sd">     The function takes various configuration parameters to customize the training process</span>
+<span class="sd">     and adapt the model to specific tasks using a provided dataset.</span>
+
+<span class="sd">    :param context: mlrun context in order to log trained model</span>
+<span class="sd">    :param dataset_columns_to_train: which columns to pass to the model as inputs</span>
+<span class="sd">    :param eval_load_dataset_kwargs: kwargs for dataset loading</span>
+<span class="sd">    :param train_load_dataset_kwargs: kwargs for dataset loading</span>
+<span class="sd">    :param framework: pt ot tf</span>
+<span class="sd">    :param use_cuda: use gpu or not</span>
+<span class="sd">    :param tokenizer_pretrained_config: config to load the pretrained tokenizer</span>
+<span class="sd">    :param model_pretrained_config: config to load the pretrained model</span>
+<span class="sd">    :param tokenizer: a tuple containing tokenizer name and class, or str with tokenizer name or path</span>
+<span class="sd">    :param model: a tuple containing model name and class, or str with model name or path</span>
+<span class="sd">    :param train_dataset: The train dataset used for fine-tuning the language model.</span>
+<span class="sd">    :param eval_dataset: The eval dataset used for evaluate the language model during training.</span>
+<span class="sd">    :param deepspeed_config: Configuration options for DeepSpeed (optional).</span>
+<span class="sd">    :param quantization_config: Configuration options for model quantization (optional).</span>
+<span class="sd">    :param lora_config: Configuration options for Low-Rank Approximation (LoRA) (optional).</span>
+<span class="sd">    :param training_config: Configuration options specific to the fine-tuning training process (optional).</span>
+<span class="sd">    :param data_collator_config: Configuration options for data collation during training (optional).</span>
+<span class="sd">    :param task: A description of the specific task the model is being fine-tuned for.</span>
+<span class="sd">    :param kwargs: Additional keyword arguments.</span>
+<span class="sd">    """</span>
+
+    <span class="c1"># TODO: match forward.keyword to dataset.keyword - check if relevant in new design</span>
+    <span class="c1"># TODO: add warning for label, and add option to modify dataset col names - check if relevant in new design</span>
+
+    <span class="c1"># Look for updates to configs given in kwargs</span>
+    <span class="n">configs</span> <span class="o">=</span> <span class="p">{</span>
+        <span class="n">ConfigKeys</span><span class="o">.</span><span class="n">deepspeed</span><span class="p">:</span> <span class="n">deepspeed_config</span><span class="p">,</span>
+        <span class="n">ConfigKeys</span><span class="o">.</span><span class="n">quantization</span><span class="p">:</span> <span class="n">quantization_config</span><span class="p">,</span>
+        <span class="n">ConfigKeys</span><span class="o">.</span><span class="n">lora</span><span class="p">:</span> <span class="n">lora_config</span><span class="p">,</span>
+        <span class="n">ConfigKeys</span><span class="o">.</span><span class="n">training</span><span class="p">:</span> <span class="n">training_config</span><span class="p">,</span>
+        <span class="n">ConfigKeys</span><span class="o">.</span><span class="n">model_pretrained</span><span class="p">:</span> <span class="n">model_pretrained_config</span><span class="p">,</span>
+        <span class="n">ConfigKeys</span><span class="o">.</span><span class="n">tokenizer_pretrained</span><span class="p">:</span> <span class="n">tokenizer_pretrained_config</span><span class="p">,</span>
+        <span class="n">ConfigKeys</span><span class="o">.</span><span class="n">data_collator</span><span class="p">:</span> <span class="n">data_collator_config</span><span class="p">,</span>
+    <span class="p">}</span>
+    <span class="n">_update_config</span><span class="p">(</span><span class="n">dst</span><span class="o">=</span><span class="n">configs</span><span class="p">,</span> <span class="n">src</span><span class="o">=</span><span class="n">kwargs</span><span class="p">)</span>
+
+    <span class="c1"># check gpu permission and availability</span>
+    <span class="k">if</span> <span class="n">use_cuda</span><span class="p">:</span>
+        <span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">is_available</span><span class="p">():</span>
+            <span class="c1"># Clean gpu cache</span>
+            <span class="n">torch</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">empty_cache</span><span class="p">()</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="s2">"'use_cuda' is set to True, but no cuda device is available"</span><span class="p">)</span>
+
+    <span class="c1"># get model and tokenizer</span>
+    <span class="n">model_name</span><span class="p">,</span> <span class="n">model</span><span class="p">,</span> <span class="n">tokenizer</span> <span class="o">=</span> <span class="n">_set_model_and_tokenizer</span><span class="p">(</span>
+        <span class="n">model</span><span class="o">=</span><span class="n">model</span><span class="p">,</span>
+        <span class="n">tokenizer</span><span class="o">=</span><span class="n">tokenizer</span><span class="p">,</span>
+        <span class="n">task</span><span class="o">=</span><span class="n">task</span><span class="p">,</span>
+        <span class="n">framework</span><span class="o">=</span><span class="n">framework</span><span class="p">,</span>
+        <span class="n">lora_config</span><span class="o">=</span><span class="n">configs</span><span class="p">[</span><span class="n">ConfigKeys</span><span class="o">.</span><span class="n">lora</span><span class="p">],</span>
+        <span class="n">quantization_config</span><span class="o">=</span><span class="n">configs</span><span class="p">[</span><span class="n">ConfigKeys</span><span class="o">.</span><span class="n">quantization</span><span class="p">],</span>
+        <span class="n">use_cuda</span><span class="o">=</span><span class="n">use_cuda</span><span class="p">,</span>
+        <span class="n">tokenizer_pretrained_config</span><span class="o">=</span><span class="n">tokenizer_pretrained_config</span><span class="p">,</span>
+        <span class="n">model_pretrained_config</span><span class="o">=</span><span class="n">configs</span><span class="p">[</span><span class="n">ConfigKeys</span><span class="o">.</span><span class="n">model_pretrained</span><span class="p">],</span>
+        <span class="n">device_map</span><span class="o">=</span><span class="n">device_map</span><span class="p">,</span>
+    <span class="p">)</span>
+
+    <span class="c1"># Load datasets</span>
+    <span class="n">tokenized_train</span><span class="p">,</span> <span class="n">tokenized_eval</span> <span class="o">=</span> <span class="n">_prepare_dataset</span><span class="p">(</span>
+        <span class="n">train_dataset</span><span class="o">=</span><span class="n">train_dataset</span><span class="p">,</span>
+        <span class="n">eval_dataset</span><span class="o">=</span><span class="n">eval_dataset</span><span class="p">,</span>
+        <span class="n">train_load_dataset_kwargs</span><span class="o">=</span><span class="n">train_load_dataset_kwargs</span><span class="p">,</span>
+        <span class="n">eval_load_dataset_kwargs</span><span class="o">=</span><span class="n">eval_load_dataset_kwargs</span><span class="p">,</span>
+        <span class="n">tokenizer</span><span class="o">=</span><span class="n">tokenizer</span><span class="p">,</span>
+        <span class="n">dataset_columns_to_train</span><span class="o">=</span><span class="n">dataset_columns_to_train</span><span class="p">,</span>
+    <span class="p">)</span>
+
+    <span class="c1"># Initialize the data collator for the trainer to use in order to create batches of data</span>
+    <span class="n">data_collator</span> <span class="o">=</span> <span class="n">transformers</span><span class="o">.</span><span class="n">DataCollatorForLanguageModeling</span><span class="p">(</span>
+        <span class="n">tokenizer</span><span class="o">=</span><span class="n">tokenizer</span><span class="p">,</span> <span class="n">mlm</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="o">**</span><span class="n">data_collator_config</span>
+    <span class="p">)</span>
+
+    <span class="c1"># Initialize training kwargs from user kwargs:</span>
+    <span class="n">train_kwargs</span> <span class="o">=</span> <span class="n">configs</span><span class="p">[</span><span class="n">ConfigKeys</span><span class="o">.</span><span class="n">training</span><span class="p">]</span>
+
+    <span class="c1"># If deepspeed config given we add it to training kwargs</span>
+    <span class="k">if</span> <span class="n">configs</span><span class="p">[</span><span class="n">ConfigKeys</span><span class="o">.</span><span class="n">deepspeed</span><span class="p">]:</span>
+        <span class="n">train_kwargs</span><span class="p">[</span><span class="s2">"deepspeed"</span><span class="p">]</span> <span class="o">=</span> <span class="n">configs</span><span class="p">[</span><span class="n">ConfigKeys</span><span class="o">.</span><span class="n">deepspeed</span><span class="p">]</span>
+
+    <span class="c1"># Take a look at the trainable parameters in the model</span>
+    <span class="n">_print_trainable_parameters</span><span class="p">(</span><span class="n">model</span><span class="p">)</span>
+
+    <span class="c1"># Preparing training arguments:</span>
+    <span class="n">training_args</span> <span class="o">=</span> <span class="n">transformers</span><span class="o">.</span><span class="n">TrainingArguments</span><span class="p">(</span>
+        <span class="n">output_dir</span><span class="o">=</span><span class="n">tempfile</span><span class="o">.</span><span class="n">mkdtemp</span><span class="p">(),</span>
+        <span class="o">**</span><span class="n">train_kwargs</span><span class="p">,</span>
+    <span class="p">)</span>
+
+    <span class="n">trainer</span> <span class="o">=</span> <span class="n">transformers</span><span class="o">.</span><span class="n">Trainer</span><span class="p">(</span>
+        <span class="n">model</span><span class="o">=</span><span class="n">model</span><span class="p">,</span>
+        <span class="n">train_dataset</span><span class="o">=</span><span class="n">tokenized_train</span><span class="p">,</span>
+        <span class="n">eval_dataset</span><span class="o">=</span><span class="n">tokenized_eval</span><span class="p">,</span>
+        <span class="n">tokenizer</span><span class="o">=</span><span class="n">tokenizer</span><span class="p">,</span>
+        <span class="n">data_collator</span><span class="o">=</span><span class="n">data_collator</span><span class="p">,</span>
+        <span class="n">args</span><span class="o">=</span><span class="n">training_args</span><span class="p">,</span>
+    <span class="p">)</span>
+
+    <span class="n">apply_mlrun</span><span class="p">(</span><span class="n">trainer</span><span class="p">,</span> <span class="n">model_name</span><span class="o">=</span><span class="n">model_name</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"/"</span><span class="p">)[</span><span class="o">-</span><span class="mi">1</span><span class="p">])</span>
+    <span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">use_cache</span> <span class="o">=</span> <span class="p">(</span>
+        <span class="kc">False</span>  <span class="c1"># silence the warnings. Please re-enable for inference!</span>
+    <span class="p">)</span>
+
+    <span class="c1"># Apply training with evaluation:</span>
+    <span class="n">context</span><span class="o">.</span><span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s2">"training '</span><span class="si">{</span><span class="n">model_name</span><span class="si">}</span><span class="s2">'"</span><span class="p">)</span>
+    <span class="n">trainer</span><span class="o">.</span><span class="n">train</span><span class="p">()</span>
+
+    <span class="n">temp_directory</span> <span class="o">=</span> <span class="n">tempfile</span><span class="o">.</span><span class="n">TemporaryDirectory</span><span class="p">()</span><span class="o">.</span><span class="n">name</span>
+    <span class="n">trainer</span><span class="o">.</span><span class="n">save_model</span><span class="p">(</span><span class="n">temp_directory</span><span class="p">)</span>
+
+    <span class="c1"># Zip the model directory:</span>
+    <span class="n">shutil</span><span class="o">.</span><span class="n">make_archive</span><span class="p">(</span>
+        <span class="n">base_name</span><span class="o">=</span><span class="s2">"model"</span><span class="p">,</span>
+        <span class="nb">format</span><span class="o">=</span><span class="s2">"zip"</span><span class="p">,</span>
+        <span class="n">root_dir</span><span class="o">=</span><span class="n">temp_directory</span><span class="p">,</span>
+    <span class="p">)</span>
+
+    <span class="c1"># Log the model:</span>
+    <span class="n">context</span><span class="o">.</span><span class="n">log_model</span><span class="p">(</span>
+        <span class="n">key</span><span class="o">=</span><span class="s2">"model"</span><span class="p">,</span>
+        <span class="n">db_key</span><span class="o">=</span><span class="n">model_name</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"/"</span><span class="p">)[</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span>
+        <span class="n">model_file</span><span class="o">=</span><span class="s2">"model.zip"</span><span class="p">,</span>
+        <span class="n">tag</span><span class="o">=</span><span class="s2">""</span><span class="p">,</span>
+        <span class="n">framework</span><span class="o">=</span><span class="s2">"Hugging Face"</span><span class="p">,</span>
+    <span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="evaluate"><a class="viewcode-back" href="documentation.html#huggingface_auto_trainer.huggingface_auto_trainer.evaluate">[docs]</a><span class="k">def</span> <span class="nf">evaluate</span><span class="p">(</span>
+    <span class="n">context</span><span class="p">,</span>
+    <span class="n">model_path</span><span class="p">,</span>
+    <span class="n">data</span><span class="p">:</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">,</span>
+    <span class="n">model_name</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">tokenizer_name</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+<span class="p">):</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    Evaluating the model using perplexity, for more information visit:</span>
+<span class="sd">    https://huggingface.co/docs/transformers/perplexity</span>
+
+<span class="sd">    :param context:     mlrun context</span>
+<span class="sd">    :param model_path:  path to the model directory</span>
+<span class="sd">    :param data:        the data to evaluate the model</span>
+<span class="sd">    :param model_name:  name of base model</span>
+<span class="sd">    :param tokenizer_name: name of base tokenizer</span>
+<span class="sd">    """</span>
+    <span class="c1"># Get the model artifact and file:</span>
+    <span class="p">(</span>
+        <span class="n">model_file</span><span class="p">,</span>
+        <span class="n">model_artifact</span><span class="p">,</span>
+        <span class="n">extra_data</span><span class="p">,</span>
+    <span class="p">)</span> <span class="o">=</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">artifacts</span><span class="o">.</span><span class="n">get_model</span><span class="p">(</span><span class="n">model_path</span><span class="p">)</span>
+
+    <span class="c1"># Read the name:</span>
+    <span class="n">_model_name</span> <span class="o">=</span> <span class="n">model_artifact</span><span class="o">.</span><span class="n">spec</span><span class="o">.</span><span class="n">db_key</span>
+
+    <span class="c1"># Extract logged model files:</span>
+    <span class="n">model_directory</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">dirname</span><span class="p">(</span><span class="n">model_file</span><span class="p">),</span> <span class="n">_model_name</span><span class="p">)</span>
+    <span class="k">with</span> <span class="n">zipfile</span><span class="o">.</span><span class="n">ZipFile</span><span class="p">(</span><span class="n">model_file</span><span class="p">,</span> <span class="s2">"r"</span><span class="p">)</span> <span class="k">as</span> <span class="n">zip_file</span><span class="p">:</span>
+        <span class="n">zip_file</span><span class="o">.</span><span class="n">extractall</span><span class="p">(</span><span class="n">model_directory</span><span class="p">)</span>
+
+    <span class="c1"># Loading the saved pretrained tokenizer and model:</span>
+    <span class="n">dataset</span> <span class="o">=</span> <span class="n">Dataset</span><span class="o">.</span><span class="n">from_pandas</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+    <span class="n">tokenizer</span> <span class="o">=</span> <span class="n">AutoTokenizer</span><span class="o">.</span><span class="n">from_pretrained</span><span class="p">(</span><span class="n">tokenizer_name</span><span class="p">)</span>
+    <span class="n">pad_token_id</span> <span class="o">=</span> <span class="n">tokenizer</span><span class="o">.</span><span class="n">eos_token_id</span>
+    <span class="n">model</span> <span class="o">=</span> <span class="n">AutoModelForCausalLM</span><span class="o">.</span><span class="n">from_pretrained</span><span class="p">(</span>
+        <span class="n">model_name</span><span class="p">,</span> <span class="n">device_map</span><span class="o">=</span><span class="s2">"cuda:0"</span><span class="p">,</span> <span class="n">trust_remote_code</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">load_in_8bit</span><span class="o">=</span><span class="kc">True</span>
+    <span class="p">)</span>
+    <span class="n">model</span> <span class="o">=</span> <span class="n">PeftModel</span><span class="o">.</span><span class="n">from_pretrained</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">model_directory</span><span class="p">)</span>
+    <span class="n">model</span><span class="o">.</span><span class="n">eval</span><span class="p">()</span>
+    <span class="n">encodings</span> <span class="o">=</span> <span class="n">tokenizer</span><span class="p">(</span><span class="s2">"</span><span class="se">\n\n</span><span class="s2">"</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">dataset</span><span class="p">[</span><span class="s2">"text"</span><span class="p">][:</span><span class="mi">5</span><span class="p">]),</span> <span class="n">return_tensors</span><span class="o">=</span><span class="s2">"pt"</span><span class="p">)</span>
+
+    <span class="n">max_length</span> <span class="o">=</span> <span class="mi">1024</span>
+    <span class="n">stride</span> <span class="o">=</span> <span class="mi">512</span>
+    <span class="n">seq_len</span> <span class="o">=</span> <span class="n">encodings</span><span class="o">.</span><span class="n">input_ids</span><span class="o">.</span><span class="n">size</span><span class="p">(</span><span class="mi">1</span><span class="p">)</span>
+
+    <span class="n">nlls</span> <span class="o">=</span> <span class="p">[]</span>
+    <span class="n">prev_end_loc</span> <span class="o">=</span> <span class="mi">0</span>
+    <span class="k">for</span> <span class="n">begin_loc</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="n">seq_len</span><span class="p">,</span> <span class="n">stride</span><span class="p">):</span>
+        <span class="n">end_loc</span> <span class="o">=</span> <span class="nb">min</span><span class="p">(</span><span class="n">begin_loc</span> <span class="o">+</span> <span class="n">max_length</span><span class="p">,</span> <span class="n">seq_len</span><span class="p">)</span>
+        <span class="n">trg_len</span> <span class="o">=</span> <span class="n">end_loc</span> <span class="o">-</span> <span class="n">prev_end_loc</span>  <span class="c1"># may be different from stride on last loop</span>
+        <span class="n">input_ids</span> <span class="o">=</span> <span class="n">encodings</span><span class="o">.</span><span class="n">input_ids</span><span class="p">[:,</span> <span class="n">begin_loc</span><span class="p">:</span><span class="n">end_loc</span><span class="p">]</span>
+        <span class="n">target_ids</span> <span class="o">=</span> <span class="n">input_ids</span><span class="o">.</span><span class="n">clone</span><span class="p">()</span>
+        <span class="n">target_ids</span><span class="p">[:,</span> <span class="p">:</span><span class="o">-</span><span class="n">trg_len</span><span class="p">]</span> <span class="o">=</span> <span class="o">-</span><span class="mi">100</span>
+
+        <span class="k">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">no_grad</span><span class="p">():</span>
+            <span class="n">outputs</span> <span class="o">=</span> <span class="n">model</span><span class="p">(</span><span class="n">input_ids</span><span class="o">.</span><span class="n">cuda</span><span class="p">(),</span> <span class="n">labels</span><span class="o">=</span><span class="n">target_ids</span><span class="p">)</span>
+
+            <span class="c1"># loss is calculated using CrossEntropyLoss which averages over valid labels</span>
+            <span class="c1"># N.B. the model only calculates loss over trg_len - 1 labels, because it internally shifts the labels</span>
+            <span class="c1"># to the left by 1.</span>
+            <span class="n">neg_log_likelihood</span> <span class="o">=</span> <span class="n">outputs</span><span class="o">.</span><span class="n">loss</span>
+
+        <span class="n">nlls</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">neg_log_likelihood</span><span class="p">)</span>
+
+        <span class="n">prev_end_loc</span> <span class="o">=</span> <span class="n">end_loc</span>
+        <span class="k">if</span> <span class="n">end_loc</span> <span class="o">==</span> <span class="n">seq_len</span><span class="p">:</span>
+            <span class="k">break</span>
+
+    <span class="n">ppl</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">stack</span><span class="p">(</span><span class="n">nlls</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span><span class="p">())</span><span class="o">.</span><span class="n">item</span><span class="p">()</span>
+    <span class="n">context</span><span class="o">.</span><span class="n">log_result</span><span class="p">(</span><span class="s2">"perplexity"</span><span class="p">,</span> <span class="n">ppl</span><span class="p">)</span></div>
+</pre></div>
+</div>
+</main>
+<footer class="footer-article noprint">
+<!-- Previous / next buttons -->
+<div class="prev-next-area">
+</div>
+</footer>
+</div>
+</div>
+<div class="footer-content row">
+<footer class="col footer"><p>
+  
+      © Copyright .<br/>
+</p>
+</footer>
+</div>
+</div>
+</div>
+</div>
+<!-- Scripts loaded after <body> so the DOM is not blocked -->
+<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf"></script>
+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/huggingface_auto_trainer/1.1.0/static/item.html b/functions/master/huggingface_auto_trainer/1.1.0/static/item.html
new file mode 100644
index 00000000..be5b35b4
--- /dev/null
+++ b/functions/master/huggingface_auto_trainer/1.1.0/static/item.html
@@ -0,0 +1,49 @@
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta content="IE=edge" http-equiv="X-UA-Compatible">
+    <meta content="width=device-width, initial-scale=1.0" name="viewport">
+    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/styles/atom-one-dark.min.css">
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/highlight.min.js"></script>
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/languages/yaml.min.js"></script>
+    <title>Source</title>
+    <script>hljs.highlightAll();</script>
+</head>
+
+<body style="background-color:darkgray; margin: 0 0 0 0;">
+    <pre style="margin: 0 1em;">
+        <code class="yaml">
+apiVersion: v1
+categories:
+- huggingface
+- genai
+- machine-learning
+- model-training
+description: fine-tune llm model with ease
+doc: ''
+example: huggingface_auto_trainer.ipynb
+generationDate: 2023-08-21:17-25
+hidden: false
+icon: ''
+labels:
+  author: Zeevr
+maintainers: []
+marketplaceType: ''
+mlrunVersion: 1.4.0
+name: huggingface-auto-trainer
+platformVersion: 3.5.0
+spec:
+  filename: huggingface_auto_trainer.py
+  handler: finetune_llm
+  image: mlrun/mlrun
+  kind: job
+  requirements: []
+url: ''
+version: 1.1.0
+
+        </code>
+    </pre>
+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/huggingface_auto_trainer/1.1.0/static/source.html b/functions/master/huggingface_auto_trainer/1.1.0/static/source.html
new file mode 100644
index 00000000..7c445e5d
--- /dev/null
+++ b/functions/master/huggingface_auto_trainer/1.1.0/static/source.html
@@ -0,0 +1,877 @@
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta content="IE=edge" http-equiv="X-UA-Compatible">
+    <meta content="width=device-width, initial-scale=1.0" name="viewport">
+    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/styles/atom-one-dark.min.css">
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/highlight.min.js"></script>
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/languages/python.min.js"></script>
+    <title>Source</title>
+    <script>hljs.highlightAll();</script>
+</head>
+
+<body style="background-color:darkgray; margin: 0 0 0 0;">
+    <pre style="margin: 0 1em;">
+        <code class="python">
+import importlib
+import os
+import shutil
+import tempfile
+import zipfile
+from abc import ABC
+from typing import Dict, List, Tuple, Union
+
+import mlrun
+import numpy as np
+import pandas as pd
+import peft
+import torch
+import transformers
+from datasets import Dataset, load_dataset
+from mlrun.artifacts.manager import Artifact, PlotlyArtifact
+from mlrun.datastore import is_store_uri
+from mlrun.frameworks._common import CommonTypes, MLRunInterface
+from mlrun.utils import logger
+from peft import (LoraConfig, PeftModel, get_peft_model,
+                  prepare_model_for_kbit_training)
+from plotly import graph_objects as go
+from transformers import (AutoModelForCausalLM, AutoTokenizer,
+                          BitsAndBytesConfig, DataCollatorForLanguageModeling,
+                          PreTrainedModel, PreTrainedTokenizer, Trainer,
+                          TrainerCallback, TrainerControl, TrainerState,
+                          TrainingArguments)
+
+supported_tasks = [
+    "question-answering",
+    "summarization",
+    "table-question-answering",
+    "text2text-generation",
+    "text-classification",
+    "sentiment-analysis",
+    "text-generation",
+    "token-classification",
+    "translation",
+    "translation_xx_to_yy",
+]
+
+
+class ConfigKeys:
+    deepspeed = "deepspeed"
+    quantization = "quantization"
+    lora = "lora"
+    training = "training"
+    tokenizer_pretrained = "tokenizer_pretrained"
+    model_pretrained = "model_pretrained"
+    data_collator = "data_collator"
+
+
+# ----------------------from MLRUN--------------------------------
+class HFTrainerMLRunInterface(MLRunInterface, ABC):
+    """
+    This is temporary and will be built in mlrun 1.5.0
+    Interface for adding MLRun features for tensorflow keras API.
+    """
+
+    # MLRuns context default name:
+    DEFAULT_CONTEXT_NAME = "mlrun-huggingface"
+
+    # Attributes to replace so the MLRun interface will be fully enabled.
+    _REPLACED_METHODS = [
+        "train",
+        # "evaluate"
+    ]
+
+    @classmethod
+    def add_interface(
+        cls,
+        obj: Trainer,
+        restoration: CommonTypes.MLRunInterfaceRestorationType = None,
+    ):
+        super(HFTrainerMLRunInterface, cls).add_interface(
+            obj=obj, restoration=restoration
+        )
+
+    @classmethod
+    def mlrun_train(cls):
+        def wrapper(self: Trainer, *args, **kwargs):
+            # Restore the evaluation method as `train` will use it:
+            # cls._restore_attribute(obj=self, attribute_name="evaluate")
+
+            # Call the original fit method:
+            result = self.original_train(*args, **kwargs)
+
+            # Replace the evaluation method again:
+            # cls._replace_function(obj=self, function_name="evaluate")
+
+            return result
+
+        return wrapper
+
+
+class MLRunCallback(TrainerCallback):
+    """
+    This is temporary and will be built in mlrun 1.5.0
+    Callback for collecting logs during training / evaluation of the `Trainer` API.
+    """
+
+    def __init__(
+        self,
+        context: mlrun.MLClientCtx = None,
+        model_name: str = "model",
+        tag: str = "",
+        labels: Dict[str, str] = None,
+        extra_data: dict = None,
+    ):
+        super().__init__()
+
+        # Store the configurations:
+        self._context = (
+            context
+            if context is not None
+            else mlrun.get_or_create_ctx("./mlrun-huggingface")
+        )
+        self._model_name = model_name
+        self._tag = tag
+        self._labels = labels
+        self._extra_data = extra_data if extra_data is not None else {}
+
+        # Set up the logging mode:
+        self._is_training = False
+        self._steps: List[List[int]] = []
+        self._metric_scores: Dict[str, List[float]] = {}
+        self._artifacts: Dict[str, Artifact] = {}
+
+    def on_epoch_begin(
+        self,
+        args: TrainingArguments,
+        state: TrainerState,
+        control: TrainerControl,
+        **kwargs,
+    ):
+        if not state.is_world_process_zero:
+            return
+        self._steps.append([])
+
+    def on_epoch_end(
+        self,
+        args: TrainingArguments,
+        state: TrainerState,
+        control: TrainerControl,
+        **kwargs,
+    ):
+        if not state.is_world_process_zero:
+            return
+        self.log_metrics()
+
+    def on_log(
+        self,
+        args: TrainingArguments,
+        state: TrainerState,
+        control: TrainerControl,
+        logs: Dict[str, float] = None,
+        **kwargs,
+    ):
+        if not state.is_world_process_zero:
+            return
+        recent_logs = state.log_history[-1].copy()
+
+        recent_logs.pop("epoch")
+        current_step = int(recent_logs.pop("step"))
+        if current_step not in self._steps[-1]:
+            self._steps[-1].append(current_step)
+
+        for metric_name, metric_score in recent_logs.items():
+            if metric_name.startswith("train_"):
+                if metric_name.split("train_")[1] not in self._metric_scores:
+                    self._metric_scores[metric_name] = [metric_score]
+                continue
+            if metric_name not in self._metric_scores:
+                self._metric_scores[metric_name] = []
+            self._metric_scores[metric_name].append(metric_score)
+
+    def on_train_begin(
+        self,
+        args: TrainingArguments,
+        state: TrainerState,
+        control: TrainerControl,
+        **kwargs,
+    ):
+        if not state.is_world_process_zero:
+            return
+        self._is_training = True
+
+    def on_train_end(
+        self,
+        args: TrainingArguments,
+        state: TrainerState,
+        control: TrainerControl,
+        model: PreTrainedModel = None,
+        tokenizer: PreTrainedTokenizer = None,
+        **kwargs,
+    ):
+        if not state.is_world_process_zero:
+            return
+        self.log_metrics()
+
+    def on_evaluate(
+        self,
+        args: TrainingArguments,
+        state: TrainerState,
+        control: TrainerControl,
+        **kwargs,
+    ):
+        if not state.is_world_process_zero:
+            return
+        self.log_metrics()
+
+        if self._is_training:
+            return
+
+    def log_metrics(self):
+        for metric_name, metric_scores in self._metric_scores.items():
+            self._context.log_result(key=metric_name, value=metric_scores[-1])
+            if len(metric_scores) > 1:
+                self.log_metric_plot(name=metric_name, scores=metric_scores)
+        self._context.commit(completed=False)
+
+    def log_metric_plot(self, name: str, scores: List[float]):
+        # Initialize a plotly figure:
+        metric_figure = go.Figure()
+
+        # Add titles:
+        metric_figure.update_layout(
+            title=name.capitalize().replace("_", " "),
+            xaxis_title="Samples",
+            yaxis_title="Scores",
+        )
+
+        # Draw:
+        metric_figure.add_trace(
+            go.Scatter(x=np.arange(len(scores)), y=scores, mode="lines")
+        )
+
+        # Create the plotly artifact:
+        artifact_name = f"{name}_plot"
+        artifact = PlotlyArtifact(key=artifact_name, figure=metric_figure)
+        self._artifacts[artifact_name] = self._context.log_artifact(artifact)
+
+
+def apply_mlrun(
+    trainer: transformers.Trainer,
+    model_name: str = None,
+    tag: str = "",
+    context: mlrun.MLClientCtx = None,
+    auto_log: bool = True,
+    labels: Dict[str, str] = None,
+    extra_data: dict = None,
+    **kwargs,
+):
+    """
+    This is temporary and will be built in mlrun 1.5.0
+    """
+    # Get parameters defaults:
+    if context is None:
+        context = mlrun.get_or_create_ctx(HFTrainerMLRunInterface.DEFAULT_CONTEXT_NAME)
+
+    HFTrainerMLRunInterface.add_interface(obj=trainer)
+
+    if auto_log:
+        trainer.add_callback(
+            MLRunCallback(
+                context=context,
+                model_name=model_name,
+                tag=tag,
+                labels=labels,
+                extra_data=extra_data,
+            )
+        )
+
+
+# ----------------------end from MLRUN--------------------------------
+
+
+def _print_trainable_parameters(model):
+    """
+    Prints the number of trainable parameters in the model.
+    """
+    trainable_params = 0
+    all_param = 0
+    for _, param in model.named_parameters():
+        all_param += param.numel()
+        if param.requires_grad:
+            trainable_params += param.numel()
+    print(
+        f"trainable params: {trainable_params} || all params: {all_param} || trainable%:"
+        f" {100 * trainable_params / all_param}"
+    )
+
+
+# default configs
+# will be used if user provides "True" with config name as input
+QUANTIZATION_CONFIG = transformers.BitsAndBytesConfig(
+    load_in_4bit=True,
+    bnb_4bit_use_double_quant=True,
+    bnb_4bit_quant_type="nf4",
+    bnb_4bit_compute_dtype=torch.bfloat16,
+)
+
+LORA_CONFIG = peft.LoraConfig(
+    r=8,
+    lora_alpha=32,
+    target_modules=["query_key_value"],
+    lora_dropout=0.05,
+    bias="none",
+    task_type="CAUSAL_LM",
+)
+
+DEEPSPEED_CONFIG = {
+    "train_micro_batch_size_per_gpu": "auto",
+    "fp16": {"enabled": True},
+    "autotuning": {
+        "enabled": True,
+        "arg_mappings": {
+            "train_micro_batch_size_per_gpu": "--per_device_train_batch_size",
+            "gradient_accumulation_steps ": "--gradient_accumulation_steps",
+        },
+    },
+    "zero_optimization": {
+        "stage": 2,
+    },
+}
+
+
+def _update_config(src: dict, dst: dict):
+    """
+    update configs according to user, this way the user can add/modify values in default configs for e.g.
+
+    goes over all configs and corresponding prefixes, collect all the keys from the given dict that start
+     with the prefix and add them to appropriate config
+
+    :param src: dict of all candidate values to update dict.
+    :param dst: dict containing all configs to update.
+    """
+
+    for config_name, config in dst.items():
+
+        # If given True we use default dict
+        # Can also be False or a config dict given from user, so we check specifically fo True
+        if config is True and config_name == "quantization":
+            config = QUANTIZATION_CONFIG
+
+        if config is True and config_name == "lora":
+            config = LORA_CONFIG
+
+        if config is True and config_name == "deepspeed":
+            config = DEEPSPEED_CONFIG
+
+        # in some cases we can get a boolean value, in that case no need to look for args
+        if isinstance(config, bool):
+            config = None
+
+        elif isinstance(config, dict):
+            for key, val in src.items():
+                if key.startswith(config_name):
+                    config[key.replace(f"{config_name}_", "")] = val
+
+        # update by config name
+        else:
+            for key, val in src.items():
+                if key.startswith(config_name):
+                    setattr(config, key.replace(f"{config_name}_", ""), val)
+
+        dst.update({config_name: config})
+
+
+def _get_class_object(class_path: str) -> type:
+    """
+    given a full class name, this function returns the correct class
+
+    :param class_path: a full class name (ex. 'transformers.AutoModelForCausalLM')
+
+    :return the wanted class object
+    """
+    module_path, class_name = class_path.rsplit(".", 1)
+    module = importlib.import_module(module_path)
+    return getattr(module, class_name)
+
+
+def _set_model_and_tokenizer(
+    model: Union[str, List[str]],
+    tokenizer: Union[str, List[str]],
+    task: str,
+    framework: str,
+    lora_config: dict,
+    quantization_config: dict,
+    use_cuda: bool,
+    tokenizer_pretrained_config,
+    model_pretrained_config,
+    device_map: str,
+):
+    """
+    get the correct model and tokenizer according to given user inputs
+
+    :param model: a tuple containing model name and class, or str with model name or path
+    :param tokenizer: a tuple containing tokenizer name and class, or str with tokenizer name or path
+    :param task: a supported nlp task, used to choose model if not provided
+    :param framework: pt or tf
+    :param lora_config: lora config or None, to load model in appropriate way
+    :param quantization_config: quantization config or None, to load model in appropriate way
+    :param use_cuda: use gpu or not
+    :param tokenizer_pretrained_config: config to load the pretrained tokenizer
+    :param model_pretrained_config: config to load the pretrained model
+    :param device_map: a device map for model training if using number of gpu's
+
+    :returns: model and tokenizer
+    """
+    # if task is not supported and no model was given we can't choose one
+    if task and task not in supported_tasks and not model:
+        logger.error("unsupported task option chosen")
+        raise
+
+    # load model from store
+    if isinstance(model, str) and is_store_uri(model):
+        pass
+        # TODO: load both model and tokenizer and return, need guy's help
+
+    # if it's a tuple them we assume it contains of both name and class
+    if isinstance(model, list):
+        model_name, model_class = model
+        model_class = _get_class_object(model_class)
+
+    # in the case we don't get the model class we need the task in order to choose the correct model
+    else:
+        if task is None:
+            logger.error("task must be chosen in order to determine the correct model")
+            raise Exception(
+                "this function requires either a supported task or a model and model class to be chosen"
+            )
+
+        _, available_classes, task_options = transformers.pipelines.check_task(task)
+
+        if isinstance(model, str):
+            model_name = model
+
+        # if model is not given, we take the default model for the given task
+        else:
+            model_name, _ = transformers.pipelines.get_default_model_and_revision(
+                available_classes, framework, task_options
+            )
+        if not available_classes.get(framework, tuple()):
+            logger.error(
+                "given task's default model is not supported in specified framework"
+            )
+            raise Exception(
+                "this function requires either a supported task or a model and model class to be chosen"
+            )
+
+        model_class = available_classes[framework][0]
+
+    # load the pretrained model
+    if use_cuda:
+        device_map = device_map
+    else:
+        device_map = None
+
+    model = model_class.from_pretrained(
+        model_name,
+        quantization_config=quantization_config,
+        device_map=device_map,
+        **model_pretrained_config,
+    )
+
+    # If quantization config is given we will load a quantized model, if not a regular one
+    if quantization_config:
+        model.gradient_checkpointing_enable()
+        model = peft.prepare_model_for_kbit_training(model)
+
+    # If lora config was given we want to do lora fine tune, we update model here
+    if lora_config:
+        model = peft.get_peft_model(model, lora_config)
+
+    # if not specified we choose the default tokenizer that corresponding to the model
+    if tokenizer is None:
+        tokenizer = transformers.AutoTokenizer.from_pretrained(model_name)
+        return model_name, model, tokenizer
+
+    if isinstance(tokenizer, str):
+        tokenizer_name = tokenizer
+        tokenizer_class = transformers.AutoTokenizer
+
+    # if it's not a str then it's a tuple of both name and class
+    else:
+        tokenizer_name, tokenizer_class = tokenizer
+        tokenizer_class = _get_class_object(tokenizer_class)
+
+    tokenizer = tokenizer_class.from_pretrained(
+        tokenizer_name, **tokenizer_pretrained_config
+    )
+
+    tokenizer.pad_token = tokenizer.eos_token
+
+    return model_name, model, tokenizer
+
+
+def _dataset_loader(dataset: str, is_train: bool = True, **kwargs) -> Dataset:
+    """
+    loads the specific dataset provided by the user
+
+    :param dataset: name or path of dataset to load
+    :param is_train: bool that indicates the purpose of the dataset
+    :param kwargs: other kwargs for loading the dataset
+
+    :returns: loaded dataset
+    """
+    # if split in kwargs then the user decides how to split the dataset
+    if "split" in kwargs:
+        return load_dataset(dataset, **kwargs)
+
+    # if it's a dataset for train we split with train
+    if is_train:
+        return load_dataset(dataset, split="train", **kwargs)
+
+    # if it's eval dataset, then a lot of names are acceptable for the set and we check all of them
+    dataset = load_dataset(dataset, **kwargs)
+    if "test" in dataset:
+        return dataset.get("test")
+    elif "eval" in dataset:
+        return dataset.get("eval")
+    elif "validation" in dataset:
+        return dataset.get("validation")
+
+
+def _prepare_dataset(
+    train_dataset: str,
+    eval_dataset: str,
+    train_load_dataset_kwargs,
+    eval_load_dataset_kwargs,
+    tokenizer,
+    dataset_columns_to_train: Union[str, list],
+) -> (Dataset, Union[Dataset, None]):
+    """
+    Loads the train and eval datasets (if provided) passes them through the tokenizer and
+    returns them ready to use in training
+
+    :param train_dataset: the name or path to the train dataset
+    :param eval_dataset: the name or path to the eval dataset
+    :param dataset_columns_to_train: which columns to pass to the model as inputs
+                                        (need to pass through the tokenizer first)
+    :param train_load_dataset_kwargs: kwargs for dataset loading
+    :param eval_load_dataset_kwargs: kwargs for dataset loading
+    :param tokenizer: the tokenizer to pass the data through
+
+    :returns: tokenized datasets
+    """
+    if not tokenizer.pad_token:
+        tokenizer.pad_token = tokenizer.eos_token
+
+    # we take col name/s in a list for easy generalization
+    if isinstance(dataset_columns_to_train, str):
+        dataset_columns_to_train = [dataset_columns_to_train]
+
+    if isinstance(train_dataset, mlrun.datastore.DataItem):
+        train_dataset = Dataset.from_pandas(train_dataset.as_df())
+        return (
+            train_dataset.map(
+                lambda examples: tokenizer(
+                    *[examples[col] for col in dataset_columns_to_train],
+                    truncation=True,
+                    padding=True,
+                ),
+                batched=True,
+            ),
+            None,
+        )
+
+    # Load datasets
+    # if provided two paths/names we load each separately using designated func
+    if eval_dataset:
+        train_dataset = _dataset_loader(
+            dataset=train_dataset, is_train=True, **train_load_dataset_kwargs
+        )
+        eval_dataset = _dataset_loader(
+            dataset=eval_dataset, is_train=False, **eval_load_dataset_kwargs
+        )
+
+    # if only on path is given then we must check if it contains both dataset or if only one should be used
+    else:
+        dataset = load_dataset(train_dataset, **train_load_dataset_kwargs)
+        if "train" in dataset:
+            train_dataset = dataset.get("train")
+            if "test" in dataset:
+                eval_dataset = dataset.get("test")
+            elif "eval" in dataset:
+                eval_dataset = dataset.get("eval")
+            elif "validation" in dataset:
+                eval_dataset = dataset.get("validation")
+            else:
+                # only train dataset given, tokenize and return it
+                return (
+                    train_dataset.map(
+                        lambda examples: tokenizer(
+                            *[examples[col] for col in dataset_columns_to_train],
+                            truncation=True,
+                            padding=True,
+                        ),
+                        batched=True,
+                    ),
+                    None,
+                )
+        else:
+            logger.error("train dataset is mandatory")
+            raise KeyError("no train dataset found in given dataset")
+
+    # Tokenize the data so the model can understand it
+    tokenized_train_dataset = train_dataset.map(
+        lambda examples: tokenizer(
+            *[examples[col] for col in dataset_columns_to_train],
+            truncation=True,
+            padding=True,
+        ),
+        batched=True,
+    )
+
+    tokenized_eval_dataset = eval_dataset.map(
+        lambda examples: tokenizer(
+            *[examples[col] for col in dataset_columns_to_train],
+            truncation=True,
+            padding=True,
+        ),
+        batched=True,
+    )
+
+    return tokenized_train_dataset, tokenized_eval_dataset
+
+
+def finetune_llm(
+    context: mlrun.MLClientCtx,
+    train_dataset: Union[str, mlrun.datastore.DataItem],
+    eval_dataset: str = None,
+    train_load_dataset_kwargs: dict = {},
+    eval_load_dataset_kwargs: dict = {},
+    dataset_columns_to_train: Union[str, list] = "text",
+    model: Union[str, List[str]] = "huggingface-model",
+    tokenizer: Union[str, List[str]] = None,
+    deepspeed_config: Union[dict, bool] = False,
+    quantization_config: Union[dict, bool] = False,
+    lora_config: Union[dict, bool] = False,
+    training_config: dict = {},
+    model_pretrained_config: dict = {},
+    tokenizer_pretrained_config: dict = {},
+    data_collator_config: dict = {},
+    task: str = "text-generation",
+    use_cuda: bool = True,
+    framework: str = "pt",
+    device_map: str = "auto",
+    **kwargs,
+):
+    """
+    Fine-tunes a Language Model (LLM) on a specific task using the provided dataset.
+     The function takes various configuration parameters to customize the training process
+     and adapt the model to specific tasks using a provided dataset.
+
+    :param context: mlrun context in order to log trained model
+    :param dataset_columns_to_train: which columns to pass to the model as inputs
+    :param eval_load_dataset_kwargs: kwargs for dataset loading
+    :param train_load_dataset_kwargs: kwargs for dataset loading
+    :param framework: pt ot tf
+    :param use_cuda: use gpu or not
+    :param tokenizer_pretrained_config: config to load the pretrained tokenizer
+    :param model_pretrained_config: config to load the pretrained model
+    :param tokenizer: a tuple containing tokenizer name and class, or str with tokenizer name or path
+    :param model: a tuple containing model name and class, or str with model name or path
+    :param train_dataset: The train dataset used for fine-tuning the language model.
+    :param eval_dataset: The eval dataset used for evaluate the language model during training.
+    :param deepspeed_config: Configuration options for DeepSpeed (optional).
+    :param quantization_config: Configuration options for model quantization (optional).
+    :param lora_config: Configuration options for Low-Rank Approximation (LoRA) (optional).
+    :param training_config: Configuration options specific to the fine-tuning training process (optional).
+    :param data_collator_config: Configuration options for data collation during training (optional).
+    :param task: A description of the specific task the model is being fine-tuned for.
+    :param kwargs: Additional keyword arguments.
+    """
+
+    # TODO: match forward.keyword to dataset.keyword - check if relevant in new design
+    # TODO: add warning for label, and add option to modify dataset col names - check if relevant in new design
+
+    # Look for updates to configs given in kwargs
+    configs = {
+        ConfigKeys.deepspeed: deepspeed_config,
+        ConfigKeys.quantization: quantization_config,
+        ConfigKeys.lora: lora_config,
+        ConfigKeys.training: training_config,
+        ConfigKeys.model_pretrained: model_pretrained_config,
+        ConfigKeys.tokenizer_pretrained: tokenizer_pretrained_config,
+        ConfigKeys.data_collator: data_collator_config,
+    }
+    _update_config(dst=configs, src=kwargs)
+
+    # check gpu permission and availability
+    if use_cuda:
+        if torch.cuda.is_available():
+            # Clean gpu cache
+            torch.cuda.empty_cache()
+        else:
+            logger.warning("'use_cuda' is set to True, but no cuda device is available")
+
+    # get model and tokenizer
+    model_name, model, tokenizer = _set_model_and_tokenizer(
+        model=model,
+        tokenizer=tokenizer,
+        task=task,
+        framework=framework,
+        lora_config=configs[ConfigKeys.lora],
+        quantization_config=configs[ConfigKeys.quantization],
+        use_cuda=use_cuda,
+        tokenizer_pretrained_config=tokenizer_pretrained_config,
+        model_pretrained_config=configs[ConfigKeys.model_pretrained],
+        device_map=device_map,
+    )
+
+    # Load datasets
+    tokenized_train, tokenized_eval = _prepare_dataset(
+        train_dataset=train_dataset,
+        eval_dataset=eval_dataset,
+        train_load_dataset_kwargs=train_load_dataset_kwargs,
+        eval_load_dataset_kwargs=eval_load_dataset_kwargs,
+        tokenizer=tokenizer,
+        dataset_columns_to_train=dataset_columns_to_train,
+    )
+
+    # Initialize the data collator for the trainer to use in order to create batches of data
+    data_collator = transformers.DataCollatorForLanguageModeling(
+        tokenizer=tokenizer, mlm=False, **data_collator_config
+    )
+
+    # Initialize training kwargs from user kwargs:
+    train_kwargs = configs[ConfigKeys.training]
+
+    # If deepspeed config given we add it to training kwargs
+    if configs[ConfigKeys.deepspeed]:
+        train_kwargs["deepspeed"] = configs[ConfigKeys.deepspeed]
+
+    # Take a look at the trainable parameters in the model
+    _print_trainable_parameters(model)
+
+    # Preparing training arguments:
+    training_args = transformers.TrainingArguments(
+        output_dir=tempfile.mkdtemp(),
+        **train_kwargs,
+    )
+
+    trainer = transformers.Trainer(
+        model=model,
+        train_dataset=tokenized_train,
+        eval_dataset=tokenized_eval,
+        tokenizer=tokenizer,
+        data_collator=data_collator,
+        args=training_args,
+    )
+
+    apply_mlrun(trainer, model_name=model_name.split("/")[-1])
+    model.config.use_cache = (
+        False  # silence the warnings. Please re-enable for inference!
+    )
+
+    # Apply training with evaluation:
+    context.logger.info(f"training '{model_name}'")
+    trainer.train()
+
+    temp_directory = tempfile.TemporaryDirectory().name
+    trainer.save_model(temp_directory)
+
+    # Zip the model directory:
+    shutil.make_archive(
+        base_name="model",
+        format="zip",
+        root_dir=temp_directory,
+    )
+
+    # Log the model:
+    context.log_model(
+        key="model",
+        db_key=model_name.split("/")[-1],
+        model_file="model.zip",
+        tag="",
+        framework="Hugging Face",
+    )
+
+
+def evaluate(
+    context,
+    model_path,
+    data: pd.DataFrame,
+    model_name: str = None,
+    tokenizer_name: str = None,
+):
+    """
+    Evaluating the model using perplexity, for more information visit:
+    https://huggingface.co/docs/transformers/perplexity
+
+    :param context:     mlrun context
+    :param model_path:  path to the model directory
+    :param data:        the data to evaluate the model
+    :param model_name:  name of base model
+    :param tokenizer_name: name of base tokenizer
+    """
+    # Get the model artifact and file:
+    (
+        model_file,
+        model_artifact,
+        extra_data,
+    ) = mlrun.artifacts.get_model(model_path)
+
+    # Read the name:
+    _model_name = model_artifact.spec.db_key
+
+    # Extract logged model files:
+    model_directory = os.path.join(os.path.dirname(model_file), _model_name)
+    with zipfile.ZipFile(model_file, "r") as zip_file:
+        zip_file.extractall(model_directory)
+
+    # Loading the saved pretrained tokenizer and model:
+    dataset = Dataset.from_pandas(data)
+    tokenizer = AutoTokenizer.from_pretrained(tokenizer_name)
+    pad_token_id = tokenizer.eos_token_id
+    model = AutoModelForCausalLM.from_pretrained(
+        model_name, device_map="cuda:0", trust_remote_code=True, load_in_8bit=True
+    )
+    model = PeftModel.from_pretrained(model, model_directory)
+    model.eval()
+    encodings = tokenizer("\n\n".join(dataset["text"][:5]), return_tensors="pt")
+
+    max_length = 1024
+    stride = 512
+    seq_len = encodings.input_ids.size(1)
+
+    nlls = []
+    prev_end_loc = 0
+    for begin_loc in range(0, seq_len, stride):
+        end_loc = min(begin_loc + max_length, seq_len)
+        trg_len = end_loc - prev_end_loc  # may be different from stride on last loop
+        input_ids = encodings.input_ids[:, begin_loc:end_loc]
+        target_ids = input_ids.clone()
+        target_ids[:, :-trg_len] = -100
+
+        with torch.no_grad():
+            outputs = model(input_ids.cuda(), labels=target_ids)
+
+            # loss is calculated using CrossEntropyLoss which averages over valid labels
+            # N.B. the model only calculates loss over trg_len - 1 labels, because it internally shifts the labels
+            # to the left by 1.
+            neg_log_likelihood = outputs.loss
+
+        nlls.append(neg_log_likelihood)
+
+        prev_end_loc = end_loc
+        if end_loc == seq_len:
+            break
+
+    ppl = torch.exp(torch.stack(nlls).mean()).item()
+    context.log_result("perplexity", ppl)
+
+        </code>
+    </pre>
+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/huggingface_auto_trainer/latest/src/function.yaml b/functions/master/huggingface_auto_trainer/latest/src/function.yaml
index eff09b4c..702a8401 100644
--- a/functions/master/huggingface_auto_trainer/latest/src/function.yaml
+++ b/functions/master/huggingface_auto_trainer/latest/src/function.yaml
@@ -2,11 +2,13 @@ kind: job
 metadata:
   name: huggingface-auto-trainer
   tag: ''
-  hash: 4459f0b675c36a20c8f542126a96b98b0ac82271
+  hash: 55c9aa4a822780f7388819ccf633dfe26b31f02e
   project: ''
   labels:
     author: Zeevr
   categories:
+  - huggingface
+  - genai
   - machine-learning
   - model-training
 spec:
@@ -16,8 +18,8 @@ spec:
   build:
     functionSourceCode: import importlib
import os
import shutil
import tempfile
import zipfile
from abc import ABC
from typing import Dict, List, Tuple, Union

import mlrun
import numpy as np
import pandas as pd
import peft
import torch
import transformers
from datasets import Dataset, load_dataset
from mlrun.artifacts.manager import Artifact, PlotlyArtifact
from mlrun.datastore import is_store_uri
from mlrun.frameworks._common import CommonTypes, MLRunInterface
from mlrun.utils import logger
from peft import (LoraConfig, PeftModel, get_peft_model,
                  prepare_model_for_kbit_training)
from plotly import graph_objects as go
from transformers import (AutoModelForCausalLM, AutoTokenizer,
                          BitsAndBytesConfig, DataCollatorForLanguageModeling,
                          PreTrainedModel, PreTrainedTokenizer, Trainer,
                          TrainerCallback, TrainerControl, TrainerState,
                          TrainingArguments)

supported_tasks = [
    "question-answering",
    "summarization",
    "table-question-answering",
    "text2text-generation",
    "text-classification",
    "sentiment-analysis",
    "text-generation",
    "token-classification",
    "translation",
    "translation_xx_to_yy",
]


class ConfigKeys:
    deepspeed = "deepspeed"
    quantization = "quantization"
    lora = "lora"
    training = "training"
    tokenizer_pretrained = "tokenizer_pretrained"
    model_pretrained = "model_pretrained"
    data_collator = "data_collator"


# ----------------------from MLRUN--------------------------------
class HFTrainerMLRunInterface(MLRunInterface, ABC):
    """
    This is temporary and will be built in mlrun 1.5.0
    Interface for adding MLRun features for tensorflow keras API.
    """

    # MLRuns context default name:
    DEFAULT_CONTEXT_NAME = "mlrun-huggingface"

    # Attributes to replace so the MLRun interface will be fully enabled.
    _REPLACED_METHODS = [
        "train",
        # "evaluate"
    ]

    @classmethod
    def add_interface(
        cls,
        obj: Trainer,
        restoration: CommonTypes.MLRunInterfaceRestorationType = None,
    ):
        super(HFTrainerMLRunInterface, cls).add_interface(
            obj=obj, restoration=restoration
        )

    @classmethod
    def mlrun_train(cls):
        def wrapper(self: Trainer, *args, **kwargs):
            # Restore the evaluation method as `train` will use it:
            # cls._restore_attribute(obj=self, attribute_name="evaluate")

            # Call the original fit method:
            result = self.original_train(*args, **kwargs)

            # Replace the evaluation method again:
            # cls._replace_function(obj=self, function_name="evaluate")

            return result

        return wrapper


class MLRunCallback(TrainerCallback):
    """
    This is temporary and will be built in mlrun 1.5.0
    Callback for collecting logs during training / evaluation of the `Trainer` API.
    """

    def __init__(
        self,
        context: mlrun.MLClientCtx = None,
        model_name: str = "model",
        tag: str = "",
        labels: Dict[str, str] = None,
        extra_data: dict = None,
    ):
        super().__init__()

        # Store the configurations:
        self._context = (
            context
            if context is not None
            else mlrun.get_or_create_ctx("./mlrun-huggingface")
        )
        self._model_name = model_name
        self._tag = tag
        self._labels = labels
        self._extra_data = extra_data if extra_data is not None else {}

        # Set up the logging mode:
        self._is_training = False
        self._steps: List[List[int]] = []
        self._metric_scores: Dict[str, List[float]] = {}
        self._artifacts: Dict[str, Artifact] = {}

    def on_epoch_begin(
        self,
        args: TrainingArguments,
        state: TrainerState,
        control: TrainerControl,
        **kwargs,
    ):
        if not state.is_world_process_zero:
            return
        self._steps.append([])

    def on_epoch_end(
        self,
        args: TrainingArguments,
        state: TrainerState,
        control: TrainerControl,
        **kwargs,
    ):
        if not state.is_world_process_zero:
            return
        self.log_metrics()

    def on_log(
        self,
        args: TrainingArguments,
        state: TrainerState,
        control: TrainerControl,
        logs: Dict[str, float] = None,
        **kwargs,
    ):
        if not state.is_world_process_zero:
            return
        recent_logs = state.log_history[-1].copy()

        recent_logs.pop("epoch")
        current_step = int(recent_logs.pop("step"))
        if current_step not in self._steps[-1]:
            self._steps[-1].append(current_step)

        for metric_name, metric_score in recent_logs.items():
            if metric_name.startswith("train_"):
                if metric_name.split("train_")[1] not in self._metric_scores:
                    self._metric_scores[metric_name] = [metric_score]
                continue
            if metric_name not in self._metric_scores:
                self._metric_scores[metric_name] = []
            self._metric_scores[metric_name].append(metric_score)

    def on_train_begin(
        self,
        args: TrainingArguments,
        state: TrainerState,
        control: TrainerControl,
        **kwargs,
    ):
        if not state.is_world_process_zero:
            return
        self._is_training = True

    def on_train_end(
        self,
        args: TrainingArguments,
        state: TrainerState,
        control: TrainerControl,
        model: PreTrainedModel = None,
        tokenizer: PreTrainedTokenizer = None,
        **kwargs,
    ):
        if not state.is_world_process_zero:
            return
        self.log_metrics()

    def on_evaluate(
        self,
        args: TrainingArguments,
        state: TrainerState,
        control: TrainerControl,
        **kwargs,
    ):
        if not state.is_world_process_zero:
            return
        self.log_metrics()

        if self._is_training:
            return

    def log_metrics(self):
        for metric_name, metric_scores in self._metric_scores.items():
            self._context.log_result(key=metric_name, value=metric_scores[-1])
            if len(metric_scores) > 1:
                self.log_metric_plot(name=metric_name, scores=metric_scores)
        self._context.commit(completed=False)

    def log_metric_plot(self, name: str, scores: List[float]):
        # Initialize a plotly figure:
        metric_figure = go.Figure()

        # Add titles:
        metric_figure.update_layout(
            title=name.capitalize().replace("_", " "),
            xaxis_title="Samples",
            yaxis_title="Scores",
        )

        # Draw:
        metric_figure.add_trace(
            go.Scatter(x=np.arange(len(scores)), y=scores, mode="lines")
        )

        # Create the plotly artifact:
        artifact_name = f"{name}_plot"
        artifact = PlotlyArtifact(key=artifact_name, figure=metric_figure)
        self._artifacts[artifact_name] = self._context.log_artifact(artifact)


def apply_mlrun(
    trainer: transformers.Trainer,
    model_name: str = None,
    tag: str = "",
    context: mlrun.MLClientCtx = None,
    auto_log: bool = True,
    labels: Dict[str, str] = None,
    extra_data: dict = None,
    **kwargs,
):
    """
    This is temporary and will be built in mlrun 1.5.0
    """
    # Get parameters defaults:
    if context is None:
        context = mlrun.get_or_create_ctx(HFTrainerMLRunInterface.DEFAULT_CONTEXT_NAME)

    HFTrainerMLRunInterface.add_interface(obj=trainer)

    if auto_log:
        trainer.add_callback(
            MLRunCallback(
                context=context,
                model_name=model_name,
                tag=tag,
                labels=labels,
                extra_data=extra_data,
            )
        )


# ----------------------end from MLRUN--------------------------------


def _print_trainable_parameters(model):
    """
    Prints the number of trainable parameters in the model.
    """
    trainable_params = 0
    all_param = 0
    for _, param in model.named_parameters():
        all_param += param.numel()
        if param.requires_grad:
            trainable_params += param.numel()
    print(
        f"trainable params: {trainable_params} || all params: {all_param} || trainable%:"
        f" {100 * trainable_params / all_param}"
    )


# default configs
# will be used if user provides "True" with config name as input
QUANTIZATION_CONFIG = transformers.BitsAndBytesConfig(
    load_in_4bit=True,
    bnb_4bit_use_double_quant=True,
    bnb_4bit_quant_type="nf4",
    bnb_4bit_compute_dtype=torch.bfloat16,
)

LORA_CONFIG = peft.LoraConfig(
    r=8,
    lora_alpha=32,
    target_modules=["query_key_value"],
    lora_dropout=0.05,
    bias="none",
    task_type="CAUSAL_LM",
)

DEEPSPEED_CONFIG = {
    "train_micro_batch_size_per_gpu": "auto",
    "fp16": {"enabled": True},
    "autotuning": {
        "enabled": True,
        "arg_mappings": {
            "train_micro_batch_size_per_gpu": "--per_device_train_batch_size",
            "gradient_accumulation_steps ": "--gradient_accumulation_steps",
        },
    },
    "zero_optimization": {
        "stage": 2,
    },
}


def _update_config(src: dict, dst: dict):
    """
    update configs according to user, this way the user can add/modify values in default configs for e.g.

    goes over all configs and corresponding prefixes, collect all the keys from the given dict that start
     with the prefix and add them to appropriate config

    :param src: dict of all candidate values to update dict.
    :param dst: dict containing all configs to update.
    """

    for config_name, config in dst.items():

        # If given True we use default dict
        # Can also be False or a config dict given from user, so we check specifically fo True
        if config is True and config_name == "quantization":
            config = QUANTIZATION_CONFIG

        if config is True and config_name == "lora":
            config = LORA_CONFIG

        if config is True and config_name == "deepspeed":
            config = DEEPSPEED_CONFIG

        # in some cases we can get a boolean value, in that case no need to look for args
        if isinstance(config, bool):
            config = None

        elif isinstance(config, dict):
            for key, val in src.items():
                if key.startswith(config_name):
                    config[key.replace(f"{config_name}_", "")] = val

        # update by config name
        else:
            for key, val in src.items():
                if key.startswith(config_name):
                    setattr(config, key.replace(f"{config_name}_", ""), val)

        dst.update({config_name: config})


def _get_class_object(class_path: str) -> type:
    """
    given a full class name, this function returns the correct class

    :param class_path: a full class name (ex. 'transformers.AutoModelForCausalLM')

    :return the wanted class object
    """
    module_path, class_name = class_path.rsplit(".", 1)
    module = importlib.import_module(module_path)
    return getattr(module, class_name)


def _set_model_and_tokenizer(
    model: Union[str, List[str]],
    tokenizer: Union[str, List[str]],
    task: str,
    framework: str,
    lora_config: dict,
    quantization_config: dict,
    use_cuda: bool,
    tokenizer_pretrained_config,
    model_pretrained_config,
    device_map: str,
):
    """
    get the correct model and tokenizer according to given user inputs

    :param model: a tuple containing model name and class, or str with model name or path
    :param tokenizer: a tuple containing tokenizer name and class, or str with tokenizer name or path
    :param task: a supported nlp task, used to choose model if not provided
    :param framework: pt or tf
    :param lora_config: lora config or None, to load model in appropriate way
    :param quantization_config: quantization config or None, to load model in appropriate way
    :param use_cuda: use gpu or not
    :param tokenizer_pretrained_config: config to load the pretrained tokenizer
    :param model_pretrained_config: config to load the pretrained model
    :param device_map: a device map for model training if using number of gpu's

    :returns: model and tokenizer
    """
    # if task is not supported and no model was given we can't choose one
    if task and task not in supported_tasks and not model:
        logger.error("unsupported task option chosen")
        raise

    # load model from store
    if isinstance(model, str) and is_store_uri(model):
        pass
        # TODO: load both model and tokenizer and return, need guy's help

    # if it's a tuple them we assume it contains of both name and class
    if isinstance(model, list):
        model_name, model_class = model
        model_class = _get_class_object(model_class)

    # in the case we don't get the model class we need the task in order to choose the correct model
    else:
        if task is None:
            logger.error("task must be chosen in order to determine the correct model")
            raise Exception(
                "this function requires either a supported task or a model and model class to be chosen"
            )

        _, available_classes, task_options = transformers.pipelines.check_task(task)

        if isinstance(model, str):
            model_name = model

        # if model is not given, we take the default model for the given task
        else:
            model_name, _ = transformers.pipelines.get_default_model_and_revision(
                available_classes, framework, task_options
            )
        if not available_classes.get(framework, tuple()):
            logger.error(
                "given task's default model is not supported in specified framework"
            )
            raise Exception(
                "this function requires either a supported task or a model and model class to be chosen"
            )

        model_class = available_classes[framework][0]

    # load the pretrained model
    if use_cuda:
        device_map = device_map
    else:
        device_map = None

    model = model_class.from_pretrained(
        model_name,
        quantization_config=quantization_config,
        device_map=device_map,
        **model_pretrained_config,
    )

    # If quantization config is given we will load a quantized model, if not a regular one
    if quantization_config:
        model.gradient_checkpointing_enable()
        model = peft.prepare_model_for_kbit_training(model)

    # If lora config was given we want to do lora fine tune, we update model here
    if lora_config:
        model = peft.get_peft_model(model, lora_config)

    # if not specified we choose the default tokenizer that corresponding to the model
    if tokenizer is None:
        tokenizer = transformers.AutoTokenizer.from_pretrained(model_name)
        return model_name, model, tokenizer

    if isinstance(tokenizer, str):
        tokenizer_name = tokenizer
        tokenizer_class = transformers.AutoTokenizer

    # if it's not a str then it's a tuple of both name and class
    else:
        tokenizer_name, tokenizer_class = tokenizer
        tokenizer_class = _get_class_object(tokenizer_class)

    tokenizer = tokenizer_class.from_pretrained(
        tokenizer_name, **tokenizer_pretrained_config
    )

    tokenizer.pad_token = tokenizer.eos_token

    return model_name, model, tokenizer


def _dataset_loader(dataset: str, is_train: bool = True, **kwargs) -> Dataset:
    """
    loads the specific dataset provided by the user

    :param dataset: name or path of dataset to load
    :param is_train: bool that indicates the purpose of the dataset
    :param kwargs: other kwargs for loading the dataset

    :returns: loaded dataset
    """
    # if split in kwargs then the user decides how to split the dataset
    if "split" in kwargs:
        return load_dataset(dataset, **kwargs)

    # if it's a dataset for train we split with train
    if is_train:
        return load_dataset(dataset, split="train", **kwargs)

    # if it's eval dataset, then a lot of names are acceptable for the set and we check all of them
    dataset = load_dataset(dataset, **kwargs)
    if "test" in dataset:
        return dataset.get("test")
    elif "eval" in dataset:
        return dataset.get("eval")
    elif "validation" in dataset:
        return dataset.get("validation")


def _prepare_dataset(
    train_dataset: str,
    eval_dataset: str,
    train_load_dataset_kwargs,
    eval_load_dataset_kwargs,
    tokenizer,
    dataset_columns_to_train: Union[str, list],
) -> (Dataset, Union[Dataset, None]):
    """
    Loads the train and eval datasets (if provided) passes them through the tokenizer and
    returns them ready to use in training

    :param train_dataset: the name or path to the train dataset
    :param eval_dataset: the name or path to the eval dataset
    :param dataset_columns_to_train: which columns to pass to the model as inputs
                                        (need to pass through the tokenizer first)
    :param train_load_dataset_kwargs: kwargs for dataset loading
    :param eval_load_dataset_kwargs: kwargs for dataset loading
    :param tokenizer: the tokenizer to pass the data through

    :returns: tokenized datasets
    """
    if not tokenizer.pad_token:
        tokenizer.pad_token = tokenizer.eos_token

    # we take col name/s in a list for easy generalization
    if isinstance(dataset_columns_to_train, str):
        dataset_columns_to_train = [dataset_columns_to_train]

    if isinstance(train_dataset, mlrun.datastore.DataItem):
        train_dataset = Dataset.from_pandas(train_dataset.as_df())
        return (
            train_dataset.map(
                lambda examples: tokenizer(
                    *[examples[col] for col in dataset_columns_to_train],
                    truncation=True,
                    padding=True,
                ),
                batched=True,
            ),
            None,
        )

    # Load datasets
    # if provided two paths/names we load each separately using designated func
    if eval_dataset:
        train_dataset = _dataset_loader(
            dataset=train_dataset, is_train=True, **train_load_dataset_kwargs
        )
        eval_dataset = _dataset_loader(
            dataset=eval_dataset, is_train=False, **eval_load_dataset_kwargs
        )

    # if only on path is given then we must check if it contains both dataset or if only one should be used
    else:
        dataset = load_dataset(train_dataset, **train_load_dataset_kwargs)
        if "train" in dataset:
            train_dataset = dataset.get("train")
            if "test" in dataset:
                eval_dataset = dataset.get("test")
            elif "eval" in dataset:
                eval_dataset = dataset.get("eval")
            elif "validation" in dataset:
                eval_dataset = dataset.get("validation")
            else:
                # only train dataset given, tokenize and return it
                return (
                    train_dataset.map(
                        lambda examples: tokenizer(
                            *[examples[col] for col in dataset_columns_to_train],
                            truncation=True,
                            padding=True,
                        ),
                        batched=True,
                    ),
                    None,
                )
        else:
            logger.error("train dataset is mandatory")
            raise KeyError("no train dataset found in given dataset")

    # Tokenize the data so the model can understand it
    tokenized_train_dataset = train_dataset.map(
        lambda examples: tokenizer(
            *[examples[col] for col in dataset_columns_to_train],
            truncation=True,
            padding=True,
        ),
        batched=True,
    )

    tokenized_eval_dataset = eval_dataset.map(
        lambda examples: tokenizer(
            *[examples[col] for col in dataset_columns_to_train],
            truncation=True,
            padding=True,
        ),
        batched=True,
    )

    return tokenized_train_dataset, tokenized_eval_dataset


def finetune_llm(
    context: mlrun.MLClientCtx,
    train_dataset: Union[str, mlrun.datastore.DataItem],
    eval_dataset: str = None,
    train_load_dataset_kwargs: dict = {},
    eval_load_dataset_kwargs: dict = {},
    dataset_columns_to_train: Union[str, list] = "text",
    model: Union[str, List[str]] = "huggingface-model",
    tokenizer: Union[str, List[str]] = None,
    deepspeed_config: Union[dict, bool] = False,
    quantization_config: Union[dict, bool] = False,
    lora_config: Union[dict, bool] = False,
    training_config: dict = {},
    model_pretrained_config: dict = {},
    tokenizer_pretrained_config: dict = {},
    data_collator_config: dict = {},
    task: str = "text-generation",
    use_cuda: bool = True,
    framework: str = "pt",
    device_map: str = "auto",
    **kwargs,
):
    """
    Fine-tunes a Language Model (LLM) on a specific task using the provided dataset.
     The function takes various configuration parameters to customize the training process
     and adapt the model to specific tasks using a provided dataset.

    :param context: mlrun context in order to log trained model
    :param dataset_columns_to_train: which columns to pass to the model as inputs
    :param eval_load_dataset_kwargs: kwargs for dataset loading
    :param train_load_dataset_kwargs: kwargs for dataset loading
    :param framework: pt ot tf
    :param use_cuda: use gpu or not
    :param tokenizer_pretrained_config: config to load the pretrained tokenizer
    :param model_pretrained_config: config to load the pretrained model
    :param tokenizer: a tuple containing tokenizer name and class, or str with tokenizer name or path
    :param model: a tuple containing model name and class, or str with model name or path
    :param train_dataset: The train dataset used for fine-tuning the language model.
    :param eval_dataset: The eval dataset used for evaluate the language model during training.
    :param deepspeed_config: Configuration options for DeepSpeed (optional).
    :param quantization_config: Configuration options for model quantization (optional).
    :param lora_config: Configuration options for Low-Rank Approximation (LoRA) (optional).
    :param training_config: Configuration options specific to the fine-tuning training process (optional).
    :param data_collator_config: Configuration options for data collation during training (optional).
    :param task: A description of the specific task the model is being fine-tuned for.
    :param kwargs: Additional keyword arguments.
    """

    # TODO: match forward.keyword to dataset.keyword - check if relevant in new design
    # TODO: add warning for label, and add option to modify dataset col names - check if relevant in new design

    # Look for updates to configs given in kwargs
    configs = {
        ConfigKeys.deepspeed: deepspeed_config,
        ConfigKeys.quantization: quantization_config,
        ConfigKeys.lora: lora_config,
        ConfigKeys.training: training_config,
        ConfigKeys.model_pretrained: model_pretrained_config,
        ConfigKeys.tokenizer_pretrained: tokenizer_pretrained_config,
        ConfigKeys.data_collator: data_collator_config,
    }
    _update_config(dst=configs, src=kwargs)

    # check gpu permission and availability
    if use_cuda:
        if torch.cuda.is_available():
            # Clean gpu cache
            torch.cuda.empty_cache()
        else:
            logger.warning("'use_cuda' is set to True, but no cuda device is available")

    # get model and tokenizer
    model_name, model, tokenizer = _set_model_and_tokenizer(
        model=model,
        tokenizer=tokenizer,
        task=task,
        framework=framework,
        lora_config=configs[ConfigKeys.lora],
        quantization_config=configs[ConfigKeys.quantization],
        use_cuda=use_cuda,
        tokenizer_pretrained_config=tokenizer_pretrained_config,
        model_pretrained_config=configs[ConfigKeys.model_pretrained],
        device_map=device_map,
    )

    # Load datasets
    tokenized_train, tokenized_eval = _prepare_dataset(
        train_dataset=train_dataset,
        eval_dataset=eval_dataset,
        train_load_dataset_kwargs=train_load_dataset_kwargs,
        eval_load_dataset_kwargs=eval_load_dataset_kwargs,
        tokenizer=tokenizer,
        dataset_columns_to_train=dataset_columns_to_train,
    )

    # Initialize the data collator for the trainer to use in order to create batches of data
    data_collator = transformers.DataCollatorForLanguageModeling(
        tokenizer=tokenizer, mlm=False, **data_collator_config
    )

    # Initialize training kwargs from user kwargs:
    train_kwargs = configs[ConfigKeys.training]

    # If deepspeed config given we add it to training kwargs
    if configs[ConfigKeys.deepspeed]:
        train_kwargs["deepspeed"] = configs[ConfigKeys.deepspeed]

    # Take a look at the trainable parameters in the model
    _print_trainable_parameters(model)

    # Preparing training arguments:
    training_args = transformers.TrainingArguments(
        output_dir=tempfile.mkdtemp(),
        **train_kwargs,
    )

    trainer = transformers.Trainer(
        model=model,
        train_dataset=tokenized_train,
        eval_dataset=tokenized_eval,
        tokenizer=tokenizer,
        data_collator=data_collator,
        args=training_args,
    )

    apply_mlrun(trainer, model_name=model_name.split("/")[-1])
    model.config.use_cache = (
        False  # silence the warnings. Please re-enable for inference!
    )

    # Apply training with evaluation:
    context.logger.info(f"training '{model_name}'")
    trainer.train()

    temp_directory = tempfile.TemporaryDirectory().name
    trainer.save_model(temp_directory)

    # Zip the model directory:
    shutil.make_archive(
        base_name="model",
        format="zip",
        root_dir=temp_directory,
    )

    # Log the model:
    context.log_model(
        key="model",
        db_key=model_name.split("/")[-1],
        model_file="model.zip",
        tag="",
        framework="Hugging Face",
    )


def evaluate(
    context,
    model_path,
    data: pd.DataFrame,
    model_name: str = None,
    tokenizer_name: str = None,
):
    """
    Evaluating the model using perplexity, for more information visit:
    https://huggingface.co/docs/transformers/perplexity

    :param context:     mlrun context
    :param model_path:  path to the model directory
    :param data:        the data to evaluate the model
    :param model_name:  name of base model
    :param tokenizer_name: name of base tokenizer
    """
    # Get the model artifact and file:
    (
        model_file,
        model_artifact,
        extra_data,
    ) = mlrun.artifacts.get_model(model_path)

    # Read the name:
    _model_name = model_artifact.spec.db_key

    # Extract logged model files:
    model_directory = os.path.join(os.path.dirname(model_file), _model_name)
    with zipfile.ZipFile(model_file, "r") as zip_file:
        zip_file.extractall(model_directory)

    # Loading the saved pretrained tokenizer and model:
    dataset = Dataset.from_pandas(data)
    tokenizer = AutoTokenizer.from_pretrained(tokenizer_name)
    pad_token_id = tokenizer.eos_token_id
    model = AutoModelForCausalLM.from_pretrained(
        model_name, device_map="cuda:0", trust_remote_code=True, load_in_8bit=True
    )
    model = PeftModel.from_pretrained(model, model_directory)
    model.eval()
    encodings = tokenizer("\n\n".join(dataset["text"][:5]), return_tensors="pt")

    max_length = 1024
    stride = 512
    seq_len = encodings.input_ids.size(1)

    nlls = []
    prev_end_loc = 0
    for begin_loc in range(0, seq_len, stride):
        end_loc = min(begin_loc + max_length, seq_len)
        trg_len = end_loc - prev_end_loc  # may be different from stride on last loop
        input_ids = encodings.input_ids[:, begin_loc:end_loc]
        target_ids = input_ids.clone()
        target_ids[:, :-trg_len] = -100

        with torch.no_grad():
            outputs = model(input_ids.cuda(), labels=target_ids)

            # loss is calculated using CrossEntropyLoss which averages over valid labels
            # N.B. the model only calculates loss over trg_len - 1 labels, because it internally shifts the labels
            # to the left by 1.
            neg_log_likelihood = outputs.loss

        nlls.append(neg_log_likelihood)

        prev_end_loc = end_loc
        if end_loc == seq_len:
            break

    ppl = torch.exp(torch.stack(nlls).mean()).item()
    context.log_result("perplexity", ppl)

     commands: []
-    code_origin: https://github.com/ZeevRispler/functions.git#a63a647cf6bc3015a8dcbd18903f9db44bdf0b66:/Users/Zeev_Rispler/PycharmProjects/functions/huggingface_auto_trainer/huggingface_auto_trainer.py
-    origin_filename: /Users/Zeev_Rispler/PycharmProjects/functions/huggingface_auto_trainer/huggingface_auto_trainer.py
+    code_origin: ''
+    origin_filename: ''
     requirements: []
   entry_points:
     add_interface:
@@ -25,183 +27,161 @@ spec:
       doc: ''
       parameters:
       - name: cls
-        default: ''
       - name: obj
         type: Trainer
-        default: ''
       - name: restoration
         type: MLRunInterfaceRestorationType
         default: null
-      outputs:
-      - default: ''
+      outputs: []
       lineno: 70
+      has_varargs: false
+      has_kwargs: false
     mlrun_train:
       name: mlrun_train
       doc: ''
       parameters:
       - name: cls
-        default: ''
-      outputs:
-      - default: ''
+      outputs: []
       lineno: 80
+      has_varargs: false
+      has_kwargs: false
     wrapper:
       name: wrapper
       doc: ''
       parameters:
       - name: self
         type: Trainer
-        default: ''
-      outputs:
-      - default: ''
+      outputs: []
       lineno: 81
+      has_varargs: true
+      has_kwargs: true
     on_epoch_begin:
       name: on_epoch_begin
       doc: ''
       parameters:
       - name: self
-        default: ''
       - name: args
         type: TrainingArguments
-        default: ''
       - name: state
         type: TrainerState
-        default: ''
       - name: control
         type: TrainerControl
-        default: ''
-      outputs:
-      - default: ''
+      outputs: []
       lineno: 129
+      has_varargs: false
+      has_kwargs: true
     on_epoch_end:
       name: on_epoch_end
       doc: ''
       parameters:
       - name: self
-        default: ''
       - name: args
         type: TrainingArguments
-        default: ''
       - name: state
         type: TrainerState
-        default: ''
       - name: control
         type: TrainerControl
-        default: ''
-      outputs:
-      - default: ''
+      outputs: []
       lineno: 140
+      has_varargs: false
+      has_kwargs: true
     on_log:
       name: on_log
       doc: ''
       parameters:
       - name: self
-        default: ''
       - name: args
         type: TrainingArguments
-        default: ''
       - name: state
         type: TrainerState
-        default: ''
       - name: control
         type: TrainerControl
-        default: ''
       - name: logs
         type: Dict[str, float]
         default: null
-      outputs:
-      - default: ''
+      outputs: []
       lineno: 151
+      has_varargs: false
+      has_kwargs: true
     on_train_begin:
       name: on_train_begin
       doc: ''
       parameters:
       - name: self
-        default: ''
       - name: args
         type: TrainingArguments
-        default: ''
       - name: state
         type: TrainerState
-        default: ''
       - name: control
         type: TrainerControl
-        default: ''
-      outputs:
-      - default: ''
+      outputs: []
       lineno: 177
+      has_varargs: false
+      has_kwargs: true
     on_train_end:
       name: on_train_end
       doc: ''
       parameters:
       - name: self
-        default: ''
       - name: args
         type: TrainingArguments
-        default: ''
       - name: state
         type: TrainerState
-        default: ''
       - name: control
         type: TrainerControl
-        default: ''
       - name: model
         type: PreTrainedModel
         default: null
       - name: tokenizer
         type: PreTrainedTokenizer
         default: null
-      outputs:
-      - default: ''
+      outputs: []
       lineno: 188
+      has_varargs: false
+      has_kwargs: true
     on_evaluate:
       name: on_evaluate
       doc: ''
       parameters:
       - name: self
-        default: ''
       - name: args
         type: TrainingArguments
-        default: ''
       - name: state
         type: TrainerState
-        default: ''
       - name: control
         type: TrainerControl
-        default: ''
-      outputs:
-      - default: ''
+      outputs: []
       lineno: 201
+      has_varargs: false
+      has_kwargs: true
     log_metrics:
       name: log_metrics
       doc: ''
       parameters:
       - name: self
-        default: ''
-      outputs:
-      - default: ''
+      outputs: []
       lineno: 215
+      has_varargs: false
+      has_kwargs: false
     log_metric_plot:
       name: log_metric_plot
       doc: ''
       parameters:
       - name: self
-        default: ''
       - name: name
         type: str
-        default: ''
       - name: scores
         type: List[float]
-        default: ''
-      outputs:
-      - default: ''
+      outputs: []
       lineno: 222
+      has_varargs: false
+      has_kwargs: false
     apply_mlrun:
       name: apply_mlrun
       doc: This is temporary and will be built in mlrun 1.5.0
       parameters:
       - name: trainer
         type: Trainer
-        default: ''
       - name: model_name
         type: str
         default: null
@@ -220,9 +200,10 @@ spec:
       - name: extra_data
         type: dict
         default: null
-      outputs:
-      - default: ''
+      outputs: []
       lineno: 244
+      has_varargs: false
+      has_kwargs: true
     finetune_llm:
       name: finetune_llm
       doc: "Fine-tunes a Language Model (LLM) on a specific task using the provided\
@@ -233,11 +214,9 @@ spec:
       - name: context
         type: MLClientCtx
         doc: mlrun context in order to log trained model
-        default: ''
       - name: train_dataset
         type: Union[str, mlrun.datastore.DataItem]
         doc: The train dataset used for fine-tuning the language model.
-        default: ''
       - name: eval_dataset
         type: str
         doc: The eval dataset used for evaluate the language model during training.
@@ -306,9 +285,10 @@ spec:
       - name: device_map
         type: str
         default: auto
-      outputs:
-      - default: ''
+      outputs: []
       lineno: 630
+      has_varargs: false
+      has_kwargs: true
     evaluate:
       name: evaluate
       doc: 'Evaluating the model using perplexity, for more information visit:
@@ -317,14 +297,11 @@ spec:
       parameters:
       - name: context
         doc: mlrun context
-        default: ''
       - name: model_path
         doc: path to the model directory
-        default: ''
       - name: data
         type: DataFrame
         doc: the data to evaluate the model
-        default: ''
       - name: model_name
         type: str
         doc: name of base model
@@ -333,9 +310,10 @@ spec:
         type: str
         doc: name of base tokenizer
         default: null
-      outputs:
-      - default: ''
+      outputs: []
       lineno: 784
+      has_varargs: false
+      has_kwargs: false
   description: fine-tune llm model with ease
   default_handler: finetune_llm
   disable_auto_mount: false
diff --git a/functions/master/huggingface_auto_trainer/latest/src/item.yaml b/functions/master/huggingface_auto_trainer/latest/src/item.yaml
index e556c11d..b7c9bbcc 100644
--- a/functions/master/huggingface_auto_trainer/latest/src/item.yaml
+++ b/functions/master/huggingface_auto_trainer/latest/src/item.yaml
@@ -1,5 +1,7 @@
 apiVersion: v1
 categories:
+- huggingface
+- genai
 - machine-learning
 - model-training
 description: fine-tune llm model with ease
@@ -22,4 +24,4 @@ spec:
   kind: job
   requirements: []
 url: ''
-version: 1.0.0
+version: 1.1.0
diff --git a/functions/master/huggingface_auto_trainer/latest/static/function.html b/functions/master/huggingface_auto_trainer/latest/static/function.html
index 9a1f2953..a989880e 100644
--- a/functions/master/huggingface_auto_trainer/latest/static/function.html
+++ b/functions/master/huggingface_auto_trainer/latest/static/function.html
@@ -19,11 +19,13 @@
 metadata:
   name: huggingface-auto-trainer
   tag: ''
-  hash: 4459f0b675c36a20c8f542126a96b98b0ac82271
+  hash: 55c9aa4a822780f7388819ccf633dfe26b31f02e
   project: ''
   labels:
     author: Zeevr
   categories:
+  - huggingface
+  - genai
   - machine-learning
   - model-training
 spec:
@@ -33,8 +35,8 @@
   build:
     functionSourceCode: import importlib
import os
import shutil
import tempfile
import zipfile
from abc import ABC
from typing import Dict, List, Tuple, Union

import mlrun
import numpy as np
import pandas as pd
import peft
import torch
import transformers
from datasets import Dataset, load_dataset
from mlrun.artifacts.manager import Artifact, PlotlyArtifact
from mlrun.datastore import is_store_uri
from mlrun.frameworks._common import CommonTypes, MLRunInterface
from mlrun.utils import logger
from peft import (LoraConfig, PeftModel, get_peft_model,
                  prepare_model_for_kbit_training)
from plotly import graph_objects as go
from transformers import (AutoModelForCausalLM, AutoTokenizer,
                          BitsAndBytesConfig, DataCollatorForLanguageModeling,
                          PreTrainedModel, PreTrainedTokenizer, Trainer,
                          TrainerCallback, TrainerControl, TrainerState,
                          TrainingArguments)

supported_tasks = [
    "question-answering",
    "summarization",
    "table-question-answering",
    "text2text-generation",
    "text-classification",
    "sentiment-analysis",
    "text-generation",
    "token-classification",
    "translation",
    "translation_xx_to_yy",
]


class ConfigKeys:
    deepspeed = "deepspeed"
    quantization = "quantization"
    lora = "lora"
    training = "training"
    tokenizer_pretrained = "tokenizer_pretrained"
    model_pretrained = "model_pretrained"
    data_collator = "data_collator"


# ----------------------from MLRUN--------------------------------
class HFTrainerMLRunInterface(MLRunInterface, ABC):
    """
    This is temporary and will be built in mlrun 1.5.0
    Interface for adding MLRun features for tensorflow keras API.
    """

    # MLRuns context default name:
    DEFAULT_CONTEXT_NAME = "mlrun-huggingface"

    # Attributes to replace so the MLRun interface will be fully enabled.
    _REPLACED_METHODS = [
        "train",
        # "evaluate"
    ]

    @classmethod
    def add_interface(
        cls,
        obj: Trainer,
        restoration: CommonTypes.MLRunInterfaceRestorationType = None,
    ):
        super(HFTrainerMLRunInterface, cls).add_interface(
            obj=obj, restoration=restoration
        )

    @classmethod
    def mlrun_train(cls):
        def wrapper(self: Trainer, *args, **kwargs):
            # Restore the evaluation method as `train` will use it:
            # cls._restore_attribute(obj=self, attribute_name="evaluate")

            # Call the original fit method:
            result = self.original_train(*args, **kwargs)

            # Replace the evaluation method again:
            # cls._replace_function(obj=self, function_name="evaluate")

            return result

        return wrapper


class MLRunCallback(TrainerCallback):
    """
    This is temporary and will be built in mlrun 1.5.0
    Callback for collecting logs during training / evaluation of the `Trainer` API.
    """

    def __init__(
        self,
        context: mlrun.MLClientCtx = None,
        model_name: str = "model",
        tag: str = "",
        labels: Dict[str, str] = None,
        extra_data: dict = None,
    ):
        super().__init__()

        # Store the configurations:
        self._context = (
            context
            if context is not None
            else mlrun.get_or_create_ctx("./mlrun-huggingface")
        )
        self._model_name = model_name
        self._tag = tag
        self._labels = labels
        self._extra_data = extra_data if extra_data is not None else {}

        # Set up the logging mode:
        self._is_training = False
        self._steps: List[List[int]] = []
        self._metric_scores: Dict[str, List[float]] = {}
        self._artifacts: Dict[str, Artifact] = {}

    def on_epoch_begin(
        self,
        args: TrainingArguments,
        state: TrainerState,
        control: TrainerControl,
        **kwargs,
    ):
        if not state.is_world_process_zero:
            return
        self._steps.append([])

    def on_epoch_end(
        self,
        args: TrainingArguments,
        state: TrainerState,
        control: TrainerControl,
        **kwargs,
    ):
        if not state.is_world_process_zero:
            return
        self.log_metrics()

    def on_log(
        self,
        args: TrainingArguments,
        state: TrainerState,
        control: TrainerControl,
        logs: Dict[str, float] = None,
        **kwargs,
    ):
        if not state.is_world_process_zero:
            return
        recent_logs = state.log_history[-1].copy()

        recent_logs.pop("epoch")
        current_step = int(recent_logs.pop("step"))
        if current_step not in self._steps[-1]:
            self._steps[-1].append(current_step)

        for metric_name, metric_score in recent_logs.items():
            if metric_name.startswith("train_"):
                if metric_name.split("train_")[1] not in self._metric_scores:
                    self._metric_scores[metric_name] = [metric_score]
                continue
            if metric_name not in self._metric_scores:
                self._metric_scores[metric_name] = []
            self._metric_scores[metric_name].append(metric_score)

    def on_train_begin(
        self,
        args: TrainingArguments,
        state: TrainerState,
        control: TrainerControl,
        **kwargs,
    ):
        if not state.is_world_process_zero:
            return
        self._is_training = True

    def on_train_end(
        self,
        args: TrainingArguments,
        state: TrainerState,
        control: TrainerControl,
        model: PreTrainedModel = None,
        tokenizer: PreTrainedTokenizer = None,
        **kwargs,
    ):
        if not state.is_world_process_zero:
            return
        self.log_metrics()

    def on_evaluate(
        self,
        args: TrainingArguments,
        state: TrainerState,
        control: TrainerControl,
        **kwargs,
    ):
        if not state.is_world_process_zero:
            return
        self.log_metrics()

        if self._is_training:
            return

    def log_metrics(self):
        for metric_name, metric_scores in self._metric_scores.items():
            self._context.log_result(key=metric_name, value=metric_scores[-1])
            if len(metric_scores) > 1:
                self.log_metric_plot(name=metric_name, scores=metric_scores)
        self._context.commit(completed=False)

    def log_metric_plot(self, name: str, scores: List[float]):
        # Initialize a plotly figure:
        metric_figure = go.Figure()

        # Add titles:
        metric_figure.update_layout(
            title=name.capitalize().replace("_", " "),
            xaxis_title="Samples",
            yaxis_title="Scores",
        )

        # Draw:
        metric_figure.add_trace(
            go.Scatter(x=np.arange(len(scores)), y=scores, mode="lines")
        )

        # Create the plotly artifact:
        artifact_name = f"{name}_plot"
        artifact = PlotlyArtifact(key=artifact_name, figure=metric_figure)
        self._artifacts[artifact_name] = self._context.log_artifact(artifact)


def apply_mlrun(
    trainer: transformers.Trainer,
    model_name: str = None,
    tag: str = "",
    context: mlrun.MLClientCtx = None,
    auto_log: bool = True,
    labels: Dict[str, str] = None,
    extra_data: dict = None,
    **kwargs,
):
    """
    This is temporary and will be built in mlrun 1.5.0
    """
    # Get parameters defaults:
    if context is None:
        context = mlrun.get_or_create_ctx(HFTrainerMLRunInterface.DEFAULT_CONTEXT_NAME)

    HFTrainerMLRunInterface.add_interface(obj=trainer)

    if auto_log:
        trainer.add_callback(
            MLRunCallback(
                context=context,
                model_name=model_name,
                tag=tag,
                labels=labels,
                extra_data=extra_data,
            )
        )


# ----------------------end from MLRUN--------------------------------


def _print_trainable_parameters(model):
    """
    Prints the number of trainable parameters in the model.
    """
    trainable_params = 0
    all_param = 0
    for _, param in model.named_parameters():
        all_param += param.numel()
        if param.requires_grad:
            trainable_params += param.numel()
    print(
        f"trainable params: {trainable_params} || all params: {all_param} || trainable%:"
        f" {100 * trainable_params / all_param}"
    )


# default configs
# will be used if user provides "True" with config name as input
QUANTIZATION_CONFIG = transformers.BitsAndBytesConfig(
    load_in_4bit=True,
    bnb_4bit_use_double_quant=True,
    bnb_4bit_quant_type="nf4",
    bnb_4bit_compute_dtype=torch.bfloat16,
)

LORA_CONFIG = peft.LoraConfig(
    r=8,
    lora_alpha=32,
    target_modules=["query_key_value"],
    lora_dropout=0.05,
    bias="none",
    task_type="CAUSAL_LM",
)

DEEPSPEED_CONFIG = {
    "train_micro_batch_size_per_gpu": "auto",
    "fp16": {"enabled": True},
    "autotuning": {
        "enabled": True,
        "arg_mappings": {
            "train_micro_batch_size_per_gpu": "--per_device_train_batch_size",
            "gradient_accumulation_steps ": "--gradient_accumulation_steps",
        },
    },
    "zero_optimization": {
        "stage": 2,
    },
}


def _update_config(src: dict, dst: dict):
    """
    update configs according to user, this way the user can add/modify values in default configs for e.g.

    goes over all configs and corresponding prefixes, collect all the keys from the given dict that start
     with the prefix and add them to appropriate config

    :param src: dict of all candidate values to update dict.
    :param dst: dict containing all configs to update.
    """

    for config_name, config in dst.items():

        # If given True we use default dict
        # Can also be False or a config dict given from user, so we check specifically fo True
        if config is True and config_name == "quantization":
            config = QUANTIZATION_CONFIG

        if config is True and config_name == "lora":
            config = LORA_CONFIG

        if config is True and config_name == "deepspeed":
            config = DEEPSPEED_CONFIG

        # in some cases we can get a boolean value, in that case no need to look for args
        if isinstance(config, bool):
            config = None

        elif isinstance(config, dict):
            for key, val in src.items():
                if key.startswith(config_name):
                    config[key.replace(f"{config_name}_", "")] = val

        # update by config name
        else:
            for key, val in src.items():
                if key.startswith(config_name):
                    setattr(config, key.replace(f"{config_name}_", ""), val)

        dst.update({config_name: config})


def _get_class_object(class_path: str) -> type:
    """
    given a full class name, this function returns the correct class

    :param class_path: a full class name (ex. 'transformers.AutoModelForCausalLM')

    :return the wanted class object
    """
    module_path, class_name = class_path.rsplit(".", 1)
    module = importlib.import_module(module_path)
    return getattr(module, class_name)


def _set_model_and_tokenizer(
    model: Union[str, List[str]],
    tokenizer: Union[str, List[str]],
    task: str,
    framework: str,
    lora_config: dict,
    quantization_config: dict,
    use_cuda: bool,
    tokenizer_pretrained_config,
    model_pretrained_config,
    device_map: str,
):
    """
    get the correct model and tokenizer according to given user inputs

    :param model: a tuple containing model name and class, or str with model name or path
    :param tokenizer: a tuple containing tokenizer name and class, or str with tokenizer name or path
    :param task: a supported nlp task, used to choose model if not provided
    :param framework: pt or tf
    :param lora_config: lora config or None, to load model in appropriate way
    :param quantization_config: quantization config or None, to load model in appropriate way
    :param use_cuda: use gpu or not
    :param tokenizer_pretrained_config: config to load the pretrained tokenizer
    :param model_pretrained_config: config to load the pretrained model
    :param device_map: a device map for model training if using number of gpu's

    :returns: model and tokenizer
    """
    # if task is not supported and no model was given we can't choose one
    if task and task not in supported_tasks and not model:
        logger.error("unsupported task option chosen")
        raise

    # load model from store
    if isinstance(model, str) and is_store_uri(model):
        pass
        # TODO: load both model and tokenizer and return, need guy's help

    # if it's a tuple them we assume it contains of both name and class
    if isinstance(model, list):
        model_name, model_class = model
        model_class = _get_class_object(model_class)

    # in the case we don't get the model class we need the task in order to choose the correct model
    else:
        if task is None:
            logger.error("task must be chosen in order to determine the correct model")
            raise Exception(
                "this function requires either a supported task or a model and model class to be chosen"
            )

        _, available_classes, task_options = transformers.pipelines.check_task(task)

        if isinstance(model, str):
            model_name = model

        # if model is not given, we take the default model for the given task
        else:
            model_name, _ = transformers.pipelines.get_default_model_and_revision(
                available_classes, framework, task_options
            )
        if not available_classes.get(framework, tuple()):
            logger.error(
                "given task's default model is not supported in specified framework"
            )
            raise Exception(
                "this function requires either a supported task or a model and model class to be chosen"
            )

        model_class = available_classes[framework][0]

    # load the pretrained model
    if use_cuda:
        device_map = device_map
    else:
        device_map = None

    model = model_class.from_pretrained(
        model_name,
        quantization_config=quantization_config,
        device_map=device_map,
        **model_pretrained_config,
    )

    # If quantization config is given we will load a quantized model, if not a regular one
    if quantization_config:
        model.gradient_checkpointing_enable()
        model = peft.prepare_model_for_kbit_training(model)

    # If lora config was given we want to do lora fine tune, we update model here
    if lora_config:
        model = peft.get_peft_model(model, lora_config)

    # if not specified we choose the default tokenizer that corresponding to the model
    if tokenizer is None:
        tokenizer = transformers.AutoTokenizer.from_pretrained(model_name)
        return model_name, model, tokenizer

    if isinstance(tokenizer, str):
        tokenizer_name = tokenizer
        tokenizer_class = transformers.AutoTokenizer

    # if it's not a str then it's a tuple of both name and class
    else:
        tokenizer_name, tokenizer_class = tokenizer
        tokenizer_class = _get_class_object(tokenizer_class)

    tokenizer = tokenizer_class.from_pretrained(
        tokenizer_name, **tokenizer_pretrained_config
    )

    tokenizer.pad_token = tokenizer.eos_token

    return model_name, model, tokenizer


def _dataset_loader(dataset: str, is_train: bool = True, **kwargs) -> Dataset:
    """
    loads the specific dataset provided by the user

    :param dataset: name or path of dataset to load
    :param is_train: bool that indicates the purpose of the dataset
    :param kwargs: other kwargs for loading the dataset

    :returns: loaded dataset
    """
    # if split in kwargs then the user decides how to split the dataset
    if "split" in kwargs:
        return load_dataset(dataset, **kwargs)

    # if it's a dataset for train we split with train
    if is_train:
        return load_dataset(dataset, split="train", **kwargs)

    # if it's eval dataset, then a lot of names are acceptable for the set and we check all of them
    dataset = load_dataset(dataset, **kwargs)
    if "test" in dataset:
        return dataset.get("test")
    elif "eval" in dataset:
        return dataset.get("eval")
    elif "validation" in dataset:
        return dataset.get("validation")


def _prepare_dataset(
    train_dataset: str,
    eval_dataset: str,
    train_load_dataset_kwargs,
    eval_load_dataset_kwargs,
    tokenizer,
    dataset_columns_to_train: Union[str, list],
) -> (Dataset, Union[Dataset, None]):
    """
    Loads the train and eval datasets (if provided) passes them through the tokenizer and
    returns them ready to use in training

    :param train_dataset: the name or path to the train dataset
    :param eval_dataset: the name or path to the eval dataset
    :param dataset_columns_to_train: which columns to pass to the model as inputs
                                        (need to pass through the tokenizer first)
    :param train_load_dataset_kwargs: kwargs for dataset loading
    :param eval_load_dataset_kwargs: kwargs for dataset loading
    :param tokenizer: the tokenizer to pass the data through

    :returns: tokenized datasets
    """
    if not tokenizer.pad_token:
        tokenizer.pad_token = tokenizer.eos_token

    # we take col name/s in a list for easy generalization
    if isinstance(dataset_columns_to_train, str):
        dataset_columns_to_train = [dataset_columns_to_train]

    if isinstance(train_dataset, mlrun.datastore.DataItem):
        train_dataset = Dataset.from_pandas(train_dataset.as_df())
        return (
            train_dataset.map(
                lambda examples: tokenizer(
                    *[examples[col] for col in dataset_columns_to_train],
                    truncation=True,
                    padding=True,
                ),
                batched=True,
            ),
            None,
        )

    # Load datasets
    # if provided two paths/names we load each separately using designated func
    if eval_dataset:
        train_dataset = _dataset_loader(
            dataset=train_dataset, is_train=True, **train_load_dataset_kwargs
        )
        eval_dataset = _dataset_loader(
            dataset=eval_dataset, is_train=False, **eval_load_dataset_kwargs
        )

    # if only on path is given then we must check if it contains both dataset or if only one should be used
    else:
        dataset = load_dataset(train_dataset, **train_load_dataset_kwargs)
        if "train" in dataset:
            train_dataset = dataset.get("train")
            if "test" in dataset:
                eval_dataset = dataset.get("test")
            elif "eval" in dataset:
                eval_dataset = dataset.get("eval")
            elif "validation" in dataset:
                eval_dataset = dataset.get("validation")
            else:
                # only train dataset given, tokenize and return it
                return (
                    train_dataset.map(
                        lambda examples: tokenizer(
                            *[examples[col] for col in dataset_columns_to_train],
                            truncation=True,
                            padding=True,
                        ),
                        batched=True,
                    ),
                    None,
                )
        else:
            logger.error("train dataset is mandatory")
            raise KeyError("no train dataset found in given dataset")

    # Tokenize the data so the model can understand it
    tokenized_train_dataset = train_dataset.map(
        lambda examples: tokenizer(
            *[examples[col] for col in dataset_columns_to_train],
            truncation=True,
            padding=True,
        ),
        batched=True,
    )

    tokenized_eval_dataset = eval_dataset.map(
        lambda examples: tokenizer(
            *[examples[col] for col in dataset_columns_to_train],
            truncation=True,
            padding=True,
        ),
        batched=True,
    )

    return tokenized_train_dataset, tokenized_eval_dataset


def finetune_llm(
    context: mlrun.MLClientCtx,
    train_dataset: Union[str, mlrun.datastore.DataItem],
    eval_dataset: str = None,
    train_load_dataset_kwargs: dict = {},
    eval_load_dataset_kwargs: dict = {},
    dataset_columns_to_train: Union[str, list] = "text",
    model: Union[str, List[str]] = "huggingface-model",
    tokenizer: Union[str, List[str]] = None,
    deepspeed_config: Union[dict, bool] = False,
    quantization_config: Union[dict, bool] = False,
    lora_config: Union[dict, bool] = False,
    training_config: dict = {},
    model_pretrained_config: dict = {},
    tokenizer_pretrained_config: dict = {},
    data_collator_config: dict = {},
    task: str = "text-generation",
    use_cuda: bool = True,
    framework: str = "pt",
    device_map: str = "auto",
    **kwargs,
):
    """
    Fine-tunes a Language Model (LLM) on a specific task using the provided dataset.
     The function takes various configuration parameters to customize the training process
     and adapt the model to specific tasks using a provided dataset.

    :param context: mlrun context in order to log trained model
    :param dataset_columns_to_train: which columns to pass to the model as inputs
    :param eval_load_dataset_kwargs: kwargs for dataset loading
    :param train_load_dataset_kwargs: kwargs for dataset loading
    :param framework: pt ot tf
    :param use_cuda: use gpu or not
    :param tokenizer_pretrained_config: config to load the pretrained tokenizer
    :param model_pretrained_config: config to load the pretrained model
    :param tokenizer: a tuple containing tokenizer name and class, or str with tokenizer name or path
    :param model: a tuple containing model name and class, or str with model name or path
    :param train_dataset: The train dataset used for fine-tuning the language model.
    :param eval_dataset: The eval dataset used for evaluate the language model during training.
    :param deepspeed_config: Configuration options for DeepSpeed (optional).
    :param quantization_config: Configuration options for model quantization (optional).
    :param lora_config: Configuration options for Low-Rank Approximation (LoRA) (optional).
    :param training_config: Configuration options specific to the fine-tuning training process (optional).
    :param data_collator_config: Configuration options for data collation during training (optional).
    :param task: A description of the specific task the model is being fine-tuned for.
    :param kwargs: Additional keyword arguments.
    """

    # TODO: match forward.keyword to dataset.keyword - check if relevant in new design
    # TODO: add warning for label, and add option to modify dataset col names - check if relevant in new design

    # Look for updates to configs given in kwargs
    configs = {
        ConfigKeys.deepspeed: deepspeed_config,
        ConfigKeys.quantization: quantization_config,
        ConfigKeys.lora: lora_config,
        ConfigKeys.training: training_config,
        ConfigKeys.model_pretrained: model_pretrained_config,
        ConfigKeys.tokenizer_pretrained: tokenizer_pretrained_config,
        ConfigKeys.data_collator: data_collator_config,
    }
    _update_config(dst=configs, src=kwargs)

    # check gpu permission and availability
    if use_cuda:
        if torch.cuda.is_available():
            # Clean gpu cache
            torch.cuda.empty_cache()
        else:
            logger.warning("'use_cuda' is set to True, but no cuda device is available")

    # get model and tokenizer
    model_name, model, tokenizer = _set_model_and_tokenizer(
        model=model,
        tokenizer=tokenizer,
        task=task,
        framework=framework,
        lora_config=configs[ConfigKeys.lora],
        quantization_config=configs[ConfigKeys.quantization],
        use_cuda=use_cuda,
        tokenizer_pretrained_config=tokenizer_pretrained_config,
        model_pretrained_config=configs[ConfigKeys.model_pretrained],
        device_map=device_map,
    )

    # Load datasets
    tokenized_train, tokenized_eval = _prepare_dataset(
        train_dataset=train_dataset,
        eval_dataset=eval_dataset,
        train_load_dataset_kwargs=train_load_dataset_kwargs,
        eval_load_dataset_kwargs=eval_load_dataset_kwargs,
        tokenizer=tokenizer,
        dataset_columns_to_train=dataset_columns_to_train,
    )

    # Initialize the data collator for the trainer to use in order to create batches of data
    data_collator = transformers.DataCollatorForLanguageModeling(
        tokenizer=tokenizer, mlm=False, **data_collator_config
    )

    # Initialize training kwargs from user kwargs:
    train_kwargs = configs[ConfigKeys.training]

    # If deepspeed config given we add it to training kwargs
    if configs[ConfigKeys.deepspeed]:
        train_kwargs["deepspeed"] = configs[ConfigKeys.deepspeed]

    # Take a look at the trainable parameters in the model
    _print_trainable_parameters(model)

    # Preparing training arguments:
    training_args = transformers.TrainingArguments(
        output_dir=tempfile.mkdtemp(),
        **train_kwargs,
    )

    trainer = transformers.Trainer(
        model=model,
        train_dataset=tokenized_train,
        eval_dataset=tokenized_eval,
        tokenizer=tokenizer,
        data_collator=data_collator,
        args=training_args,
    )

    apply_mlrun(trainer, model_name=model_name.split("/")[-1])
    model.config.use_cache = (
        False  # silence the warnings. Please re-enable for inference!
    )

    # Apply training with evaluation:
    context.logger.info(f"training '{model_name}'")
    trainer.train()

    temp_directory = tempfile.TemporaryDirectory().name
    trainer.save_model(temp_directory)

    # Zip the model directory:
    shutil.make_archive(
        base_name="model",
        format="zip",
        root_dir=temp_directory,
    )

    # Log the model:
    context.log_model(
        key="model",
        db_key=model_name.split("/")[-1],
        model_file="model.zip",
        tag="",
        framework="Hugging Face",
    )


def evaluate(
    context,
    model_path,
    data: pd.DataFrame,
    model_name: str = None,
    tokenizer_name: str = None,
):
    """
    Evaluating the model using perplexity, for more information visit:
    https://huggingface.co/docs/transformers/perplexity

    :param context:     mlrun context
    :param model_path:  path to the model directory
    :param data:        the data to evaluate the model
    :param model_name:  name of base model
    :param tokenizer_name: name of base tokenizer
    """
    # Get the model artifact and file:
    (
        model_file,
        model_artifact,
        extra_data,
    ) = mlrun.artifacts.get_model(model_path)

    # Read the name:
    _model_name = model_artifact.spec.db_key

    # Extract logged model files:
    model_directory = os.path.join(os.path.dirname(model_file), _model_name)
    with zipfile.ZipFile(model_file, "r") as zip_file:
        zip_file.extractall(model_directory)

    # Loading the saved pretrained tokenizer and model:
    dataset = Dataset.from_pandas(data)
    tokenizer = AutoTokenizer.from_pretrained(tokenizer_name)
    pad_token_id = tokenizer.eos_token_id
    model = AutoModelForCausalLM.from_pretrained(
        model_name, device_map="cuda:0", trust_remote_code=True, load_in_8bit=True
    )
    model = PeftModel.from_pretrained(model, model_directory)
    model.eval()
    encodings = tokenizer("\n\n".join(dataset["text"][:5]), return_tensors="pt")

    max_length = 1024
    stride = 512
    seq_len = encodings.input_ids.size(1)

    nlls = []
    prev_end_loc = 0
    for begin_loc in range(0, seq_len, stride):
        end_loc = min(begin_loc + max_length, seq_len)
        trg_len = end_loc - prev_end_loc  # may be different from stride on last loop
        input_ids = encodings.input_ids[:, begin_loc:end_loc]
        target_ids = input_ids.clone()
        target_ids[:, :-trg_len] = -100

        with torch.no_grad():
            outputs = model(input_ids.cuda(), labels=target_ids)

            # loss is calculated using CrossEntropyLoss which averages over valid labels
            # N.B. the model only calculates loss over trg_len - 1 labels, because it internally shifts the labels
            # to the left by 1.
            neg_log_likelihood = outputs.loss

        nlls.append(neg_log_likelihood)

        prev_end_loc = end_loc
        if end_loc == seq_len:
            break

    ppl = torch.exp(torch.stack(nlls).mean()).item()
    context.log_result("perplexity", ppl)

     commands: []
-    code_origin: https://github.com/ZeevRispler/functions.git#a63a647cf6bc3015a8dcbd18903f9db44bdf0b66:/Users/Zeev_Rispler/PycharmProjects/functions/huggingface_auto_trainer/huggingface_auto_trainer.py
-    origin_filename: /Users/Zeev_Rispler/PycharmProjects/functions/huggingface_auto_trainer/huggingface_auto_trainer.py
+    code_origin: ''
+    origin_filename: ''
     requirements: []
   entry_points:
     add_interface:
@@ -42,183 +44,161 @@
       doc: ''
       parameters:
       - name: cls
-        default: ''
       - name: obj
         type: Trainer
-        default: ''
       - name: restoration
         type: MLRunInterfaceRestorationType
         default: null
-      outputs:
-      - default: ''
+      outputs: []
       lineno: 70
+      has_varargs: false
+      has_kwargs: false
     mlrun_train:
       name: mlrun_train
       doc: ''
       parameters:
       - name: cls
-        default: ''
-      outputs:
-      - default: ''
+      outputs: []
       lineno: 80
+      has_varargs: false
+      has_kwargs: false
     wrapper:
       name: wrapper
       doc: ''
       parameters:
       - name: self
         type: Trainer
-        default: ''
-      outputs:
-      - default: ''
+      outputs: []
       lineno: 81
+      has_varargs: true
+      has_kwargs: true
     on_epoch_begin:
       name: on_epoch_begin
       doc: ''
       parameters:
       - name: self
-        default: ''
       - name: args
         type: TrainingArguments
-        default: ''
       - name: state
         type: TrainerState
-        default: ''
       - name: control
         type: TrainerControl
-        default: ''
-      outputs:
-      - default: ''
+      outputs: []
       lineno: 129
+      has_varargs: false
+      has_kwargs: true
     on_epoch_end:
       name: on_epoch_end
       doc: ''
       parameters:
       - name: self
-        default: ''
       - name: args
         type: TrainingArguments
-        default: ''
       - name: state
         type: TrainerState
-        default: ''
       - name: control
         type: TrainerControl
-        default: ''
-      outputs:
-      - default: ''
+      outputs: []
       lineno: 140
+      has_varargs: false
+      has_kwargs: true
     on_log:
       name: on_log
       doc: ''
       parameters:
       - name: self
-        default: ''
       - name: args
         type: TrainingArguments
-        default: ''
       - name: state
         type: TrainerState
-        default: ''
       - name: control
         type: TrainerControl
-        default: ''
       - name: logs
         type: Dict[str, float]
         default: null
-      outputs:
-      - default: ''
+      outputs: []
       lineno: 151
+      has_varargs: false
+      has_kwargs: true
     on_train_begin:
       name: on_train_begin
       doc: ''
       parameters:
       - name: self
-        default: ''
       - name: args
         type: TrainingArguments
-        default: ''
       - name: state
         type: TrainerState
-        default: ''
       - name: control
         type: TrainerControl
-        default: ''
-      outputs:
-      - default: ''
+      outputs: []
       lineno: 177
+      has_varargs: false
+      has_kwargs: true
     on_train_end:
       name: on_train_end
       doc: ''
       parameters:
       - name: self
-        default: ''
       - name: args
         type: TrainingArguments
-        default: ''
       - name: state
         type: TrainerState
-        default: ''
       - name: control
         type: TrainerControl
-        default: ''
       - name: model
         type: PreTrainedModel
         default: null
       - name: tokenizer
         type: PreTrainedTokenizer
         default: null
-      outputs:
-      - default: ''
+      outputs: []
       lineno: 188
+      has_varargs: false
+      has_kwargs: true
     on_evaluate:
       name: on_evaluate
       doc: ''
       parameters:
       - name: self
-        default: ''
       - name: args
         type: TrainingArguments
-        default: ''
       - name: state
         type: TrainerState
-        default: ''
       - name: control
         type: TrainerControl
-        default: ''
-      outputs:
-      - default: ''
+      outputs: []
       lineno: 201
+      has_varargs: false
+      has_kwargs: true
     log_metrics:
       name: log_metrics
       doc: ''
       parameters:
       - name: self
-        default: ''
-      outputs:
-      - default: ''
+      outputs: []
       lineno: 215
+      has_varargs: false
+      has_kwargs: false
     log_metric_plot:
       name: log_metric_plot
       doc: ''
       parameters:
       - name: self
-        default: ''
       - name: name
         type: str
-        default: ''
       - name: scores
         type: List[float]
-        default: ''
-      outputs:
-      - default: ''
+      outputs: []
       lineno: 222
+      has_varargs: false
+      has_kwargs: false
     apply_mlrun:
       name: apply_mlrun
       doc: This is temporary and will be built in mlrun 1.5.0
       parameters:
       - name: trainer
         type: Trainer
-        default: ''
       - name: model_name
         type: str
         default: null
@@ -237,9 +217,10 @@
       - name: extra_data
         type: dict
         default: null
-      outputs:
-      - default: ''
+      outputs: []
       lineno: 244
+      has_varargs: false
+      has_kwargs: true
     finetune_llm:
       name: finetune_llm
       doc: "Fine-tunes a Language Model (LLM) on a specific task using the provided\
@@ -250,11 +231,9 @@
       - name: context
         type: MLClientCtx
         doc: mlrun context in order to log trained model
-        default: ''
       - name: train_dataset
         type: Union[str, mlrun.datastore.DataItem]
         doc: The train dataset used for fine-tuning the language model.
-        default: ''
       - name: eval_dataset
         type: str
         doc: The eval dataset used for evaluate the language model during training.
@@ -323,9 +302,10 @@
       - name: device_map
         type: str
         default: auto
-      outputs:
-      - default: ''
+      outputs: []
       lineno: 630
+      has_varargs: false
+      has_kwargs: true
     evaluate:
       name: evaluate
       doc: 'Evaluating the model using perplexity, for more information visit:
@@ -334,14 +314,11 @@
       parameters:
       - name: context
         doc: mlrun context
-        default: ''
       - name: model_path
         doc: path to the model directory
-        default: ''
       - name: data
         type: DataFrame
         doc: the data to evaluate the model
-        default: ''
       - name: model_name
         type: str
         doc: name of base model
@@ -350,9 +327,10 @@
         type: str
         doc: name of base tokenizer
         default: null
-      outputs:
-      - default: ''
+      outputs: []
       lineno: 784
+      has_varargs: false
+      has_kwargs: false
   description: fine-tune llm model with ease
   default_handler: finetune_llm
   disable_auto_mount: false
diff --git a/functions/master/huggingface_auto_trainer/latest/static/item.html b/functions/master/huggingface_auto_trainer/latest/static/item.html
index 2ca49a41..be5b35b4 100644
--- a/functions/master/huggingface_auto_trainer/latest/static/item.html
+++ b/functions/master/huggingface_auto_trainer/latest/static/item.html
@@ -17,6 +17,8 @@
         <code class="yaml">
 apiVersion: v1
 categories:
+- huggingface
+- genai
 - machine-learning
 - model-training
 description: fine-tune llm model with ease
@@ -39,7 +41,7 @@
   kind: job
   requirements: []
 url: ''
-version: 1.0.0
+version: 1.1.0
 
         </code>
     </pre>
diff --git a/functions/master/pii_recognizer/0.3.0/src/data/config.csv b/functions/master/pii_recognizer/0.3.0/src/data/config.csv
new file mode 100644
index 00000000..fe2c350e
--- /dev/null
+++ b/functions/master/pii_recognizer/0.3.0/src/data/config.csv
@@ -0,0 +1,3 @@
+input_file,output_file
+data/pii.txt,data/pii_out.txt
+data/letter.txt,data/letter_out.txt
diff --git a/functions/master/pii_recognizer/0.3.0/src/data/letter.txt b/functions/master/pii_recognizer/0.3.0/src/data/letter.txt
new file mode 100644
index 00000000..59d25e78
--- /dev/null
+++ b/functions/master/pii_recognizer/0.3.0/src/data/letter.txt
@@ -0,0 +1,12 @@
+Dear Mr. John Doe,
+
+We are pleased to inform you that you have been selected as the winner of our exclusive vacation package giveaway! Congratulations! You, along with your family, will enjoy a luxurious stay at our resort in the beautiful city of Riviera. Your flight tickets have been booked, and you will be departing on July 15th, 2023.
+
+Please provide us with the necessary details to finalize your travel arrangements. We kindly request your full name, date of birth, passport number, and contact information. Rest assured that all provided information will be handled with utmost confidentiality and in compliance with data protection regulations.
+
+We look forward to creating unforgettable memories for you and your loved ones during your stay with us. If you have any questions or require further assistance, please don't hesitate to contact our customer support team.
+
+Best regards,
+
+Jane Smith
+Customer Support Representative
diff --git a/functions/master/pii_recognizer/0.3.0/src/data/output/letter_output.txt b/functions/master/pii_recognizer/0.3.0/src/data/output/letter_output.txt
new file mode 100644
index 00000000..468533af
--- /dev/null
+++ b/functions/master/pii_recognizer/0.3.0/src/data/output/letter_output.txt
@@ -0,0 +1,12 @@
+Dear Mr. <PERSON>,
+
+We are pleased to inform you that you have been selected as the winner of our exclusive vacation package giveaway! Congratulations! You, along with your family, will enjoy a luxurious stay at our resort in the beautiful city of <LOCATION>. Your flight tickets have been booked, and you will be departing on July 15th, 2023.
+
+Please provide us with the necessary details to finalize your travel arrangements. We kindly request your full name, date of birth, passport number, and contact information. Rest assured that all provided information will be handled with utmost confidentiality and in compliance with data protection regulations.
+
+We look forward to creating unforgettable memories for you and your loved ones during your stay with us. If you have any questions or require further assistance, please don't hesitate to contact our customer support team.
+
+Best regards,
+
+<PERSON>
+<ORGANIZATION> Support <ORGANIZATION>
diff --git a/functions/master/pii_recognizer/0.3.0/src/data/output/pii_output.txt b/functions/master/pii_recognizer/0.3.0/src/data/output/pii_output.txt
new file mode 100644
index 00000000..1160e497
--- /dev/null
+++ b/functions/master/pii_recognizer/0.3.0/src/data/output/pii_output.txt
@@ -0,0 +1 @@
+<PERSON> <ORGANIZATION> is <SSN>, connect him with <EMAIL> or <PHONE>, he can pay you with <CREDIT_CARD>
\ No newline at end of file
diff --git a/functions/master/pii_recognizer/0.3.0/src/data/pii.txt b/functions/master/pii_recognizer/0.3.0/src/data/pii.txt
new file mode 100644
index 00000000..8886cc08
--- /dev/null
+++ b/functions/master/pii_recognizer/0.3.0/src/data/pii.txt
@@ -0,0 +1 @@
+John smith's ssn is 182838483, connect him with John_smith@gmail.com or 6288389029, he can pay you with 41482929939393
\ No newline at end of file
diff --git a/functions/master/pii_recognizer/0.3.0/src/function.yaml b/functions/master/pii_recognizer/0.3.0/src/function.yaml
new file mode 100644
index 00000000..069fa1ff
--- /dev/null
+++ b/functions/master/pii_recognizer/0.3.0/src/function.yaml
@@ -0,0 +1,129 @@
+kind: job
+metadata:
+  name: pii-recognizer
+  tag: ''
+  hash: 818930645d33704e9cada919769ee9d93cbb9434
+  project: ''
+  labels:
+    author: pgw
+  categories:
+  - machine-learning
+  - data-preparation
+  - NLP
+spec:
+  command: ''
+  args: []
+  image: ''
+  build:
+    functionSourceCode: # Copyright 2023 Iguazio
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import logging
import os
import pathlib
import tempfile
import warnings
from typing import List, Set, Tuple, Union

import annotated_text.util as at_util
import mlrun
import nltk
import pandas as pd
import presidio_analyzer as pa
import presidio_anonymizer as pre_anoymizer
from presidio_anonymizer.entities import OperatorConfig
from tqdm import tqdm

try:
    import flair as fl
except ModuleNotFoundError:
    print("Flair is not installed")

# There is a conflict between Rust-based tokenizers' parallel processing
# and Python's fork operations during multiprocessing. To avoid this, we need
# the following two lines

os.environ["TOKENIZERS_PARALLELISM"] = "false"
warnings.filterwarnings("ignore")

logger = logging.getLogger("pii-recognizer")


# Add the constant classes of Models and Entities to govern the whole package
class Models:
    WHOLE = "whole"
    PATTERN = "pattern"
    SPACY = "spacy"
    FLAIR = "flair"


class Entities:
    CREDIT_CARD = "CREDIT_CARD"
    SSN = "SSN"
    PHONE = "PHONE"
    EMAIL = "EMAIL"
    LOCATION = "LOCATION"
    PERSON = "PERSON"
    NRP = "NRP"
    ORGANIZATION = "ORGANIZATION"
    DATE_TIME = "DATE_TIME"
    GPE = ("GPE",)
    MAC_ADDRESS = "MAC_ADDRESS"
    US_BANK_NUMBER = "US_BANK_NUMBER"
    IMEI = "IMEI"
    TITLE = "TITLE"
    LICENSE_PLATE = "LICENSE_PLATE"
    US_PASSPORT = "US_PASSPORT"
    CURRENCY = "CURRENCY"
    ROUTING_NUMBER = "ROUTING_NUMBER"
    US_ITIN = "US_ITIN"
    US_BANK_NUMBER = "US_BANK_NUMBER"
    US_DRIVER_LICENSE = "US_DRIVER_LICENSE"
    AGE = "AGE"
    PASSWORD = "PASSWORD"
    SWIFT_CODE = "SWIFT_CODE"


class PatternRecognizerFactory:
    """
    Factory for creating pattern recognizers, it can be extended in the future to
    add more regex pattern for different entities. For the pattern recognizer to work,
    we need construct a list of regex patterns for each entity.
    """

    RECOGNIZABLE_ENTITIES = {
        "CREDIT_CARD": [pa.Pattern("CREDIT_CARD", r"\b(?:\d[ -]*?){13,16}\b", 0.5)],
        "SSN": [pa.Pattern("SSN", r"\b\d{3}-?\d{2}-?\d{4}\b", 0.5)],
        "PHONE": [pa.Pattern("PHONE", r"\(?\d{3}\)?[-.\s]?\d{3}[-.\s]?\d{4}", 0.5)],
        "EMAIL": [pa.Pattern("EMAIL", r"\S+@\S+", 0.5)],
    }

    # create a list of pattern recognizers
    @classmethod
    def _create_pattern_recognizer(cls):
        """
        For each entity, create a list of patterns to recognize it

        :param cls: PatternRecognizerFactory class

        :returns: List of pattern recognizers
        """

        # Entities to recognize and their regex patterns

        return [
            pa.PatternRecognizer(supported_entity=entity, patterns=pattern)
            for entity, pattern in cls.RECOGNIZABLE_ENTITIES.items()
        ]


class CustomSpacyRecognizer(pa.LocalRecognizer):
    """
    Custom Spacy Recognizer from Presidio Analyzer trained on Privy data.
    The privy data is generated using this https://github.com/pixie-io/pixie/tree/main/src/datagen/pii/privy
    It can be used to recognize custom entities, Since we want to use Presidio's Registries to generate AnalyzerEngine,
    it inherits from Presidio Analyzer's LocalRecognizer class.
    """

    # Entities to recognize

    RECOGNIZABLE_ENTITIES = {
        "LOCATION",
        "PERSON",
        "NRP",
        "ORGANIZATION",
        "DATE_TIME",
    }

    # Default explanation for this recognizer

    _DEFAULT_EXPLANATION = (
        "Identified as {} by Spacy's Named Entity Recognition (Privy-trained)"
    )

    # Label groups to check

    _DEFAULT_CHECK_LABEL_GROUPS = [
        ({"LOCATION"}, {"LOC", "LOCATION", "STREET_ADDRESS", "COORDINATE"}),
        ({"PERSON"}, {"PER", "PERSON"}),
        ({"NRP"}, {"NORP", "NRP"}),
        ({"ORGANIZATION"}, {"ORG"}),
        ({"DATE_TIME"}, {"DATE_TIME"}),
    ]

    # pretrained model for this recognizer

    _DEFAULT_MODEL_LANGUAGES = {
        "en": "beki/en_spacy_pii_distilbert",
    }

    _DEFAULT_PRESIDIO_EQUIVALENCES = {
        "PER": "PERSON",
        "LOC": "LOCATION",
        "ORG": "ORGANIZATION",
        "NROP": "NRP",
        "DATE_TIME": "DATE_TIME",
    }

    def __init__(
        self,
        supported_language: str = "en",
        supported_entities: List[str] = None,
        check_label_groups: Tuple[Set, Set] = None,
        context: List[str] = None,
        ner_strength: float = 1,
    ):
        """
        Initialize Spacy Recognizer.

        :param supported_language: Language to use, default is English
        :param supported_entities: Entities to use for recognition
        :param check_label_groups: Label groups to check for the entities
        :param context:            Context to use if any
        :param ner_strength:       Default confidence for NER prediction

        :returns: SpacyRecognizer object
        """

        # Default confidence for NER prediction
        self.ner_strength = ner_strength

        self.check_label_groups = check_label_groups or self._DEFAULT_CHECK_LABEL_GROUPS
        supported_entities = supported_entities or self.RECOGNIZABLE_ENTITIES
        super().__init__(
            supported_entities=supported_entities,
            supported_language=supported_language,
        )

    # get the presidio explanation for the result

    def _build_spacy_explanation(
        self, original_score: float, explanation: str
    ) -> pa.AnalysisExplanation:
        """
        Create explanation for why this result was detected.

        :param original_score: Score given by this recognizer
        :param explanation:    Explanation string

        :returns: Presidio AnalysisExplanation object
        """
        explanation = pa.AnalysisExplanation(
            recognizer=self.__class__.__name__,
            original_score=original_score,
            textual_explanation=explanation,
        )
        return explanation

    # main method for the recognizer
    def analyze(self, text: str, entities: List[str], nlp_artifacts=None):  # noqa D102
        """
        Analyze text using Spacy.

        :param text:          Text to analyze
        :param entities:      Entities to analyze
        :param nlp_artifacts: NLP artifacts to use

        :returns: List of Presidio RecognizerResult objects
        """
        results = []
        if not nlp_artifacts:
            logger.warning("Skipping SpaCy, nlp artifacts not provided...")
            return results

        ner_entities = nlp_artifacts.entities

        # recognize the supported entities
        for entity in entities:
            if entity not in self.supported_entities:
                continue
            for ent in ner_entities:
                if not self.__check_label(entity, ent.label_, self.check_label_groups):
                    continue

                # string of the explanation saying the entity is recognized by spacy
                textual_explanation = self._DEFAULT_EXPLANATION.format(ent.label_)
                explanation = self._build_spacy_explanation(
                    self.ner_strength, textual_explanation
                )

                # create the standard result with the entity, start, end, score, and explanation
                spacy_result = pa.RecognizerResult(
                    entity_type=entity,
                    start=ent.start_char,
                    end=ent.end_char,
                    score=self.ner_strength,
                    analysis_explanation=explanation,
                    recognition_metadata={
                        pa.RecognizerResult.RECOGNIZER_NAME_KEY: self.name
                    },
                )
                results.append(spacy_result)

        return results

    @staticmethod
    def __check_label(
        entity: str, label: str, check_label_groups: Tuple[Set, Set]
    ) -> bool:
        """
        Check if the label is in the label group.

        :param entity:             Entity to check
        :param label:              Label to check
        :param check_label_groups: Label groups to check

        :returns: True if the label is in the label group, False otherwise
        """
        return any(
            entity in egrp and label in lgrp for egrp, lgrp in check_label_groups
        )


# Class to use Flair with Presidio as an external recognizer.
class FlairRecognizer(pa.EntityRecognizer):
    """
    Wrapper for a flair model, if needed to be used within Presidio Analyzer.
    This is to make sure the recognizer can be registered with Presidio registry.
    """

    RECOGNIZABLE_ENTITIES = {
        "LOCATION",
        "PERSON",
        "NRP",
        "GPE",
        "ORGANIZATION",
        "MAC_ADDRESS",
        "US_BANK_NUMBER",
        "IMEI",
        "TITLE",
        "LICENSE_PLATE",
        "US_PASSPORT",
        "CURRENCY",
        "ROUTING_NUMBER",
        "US_ITIN",
        "US_BANK_NUMBER",
        "US_DRIVER_LICENSE",
        "AGE",
        "PASSWORD",
        "SWIFT_CODE",
    }

    # This is used to construct the explanation for the result

    _DEFAULT_EXPLANATION = "Identified as {} by Flair's Named Entity Recognition"

    _DEFAULT_CHECK_LABEL_GROUPS = [
        ({"LOCATION"}, {"LOC", "LOCATION", "STREET_ADDRESS", "COORDINATE"}),
        ({"PERSON"}, {"PER", "PERSON"}),
        ({"NRP"}, {"NORP", "NRP"}),
        ({"GPE"}, {"GPE"}),
        ({"ORGANIZATION"}, {"ORG"}),
        ({"MAC_ADDRESS"}, {"MAC_ADDRESS"}),
        ({"US_BANK_NUMBER"}, {"US_BANK_NUMBER"}),
        ({"IMEI"}, {"IMEI"}),
        ({"TITLE"}, {"TITLE"}),
        ({"LICENSE_PLATE"}, {"LICENSE_PLATE"}),
        ({"US_PASSPORT"}, {"US_PASSPORT"}),
        ({"CURRENCY"}, {"CURRENCY"}),
        ({"ROUTING_NUMBER"}, {"ROUTING_NUMBER"}),
        ({"AGE"}, {"AGE"}),
        ({"CURRENCY"}, {"CURRENCY"}),
        ({"SWIFT_CODE"}, {"SWIFT_CODE"}),
        ({"US_ITIN"}, {"US_ITIN"}),
        ({"US_BANK_NUMBER"}, {"US_BANK_NUMBER"}),
        ({"US_DRIVER_LICENSE"}, {"US_DRIVER_LICENSE"}),
    ]

    _DEFAULT_MODEL_LANGUAGES = {
        "en": "beki/flair-pii-distilbert",
    }

    _DEFAULT_PRESIDIO_EQUIVALENCES = {
        "PER": "PERSON",
        "LOC": "LOCATION",
        "ORG": "ORGANIZATION",
        "NROP": "NRP",
        "URL": "URL",
        "US_ITIN": "US_ITIN",
        "US_PASSPORT": "US_PASSPORT",
        "IBAN_CODE": "IBAN_CODE",
        "IP_ADDRESS": "IP_ADDRESS",
        "EMAIL_ADDRESS": "EMAIL",
        "US_DRIVER_LICENSE": "US_DRIVER_LICENSE",
        "US_BANK_NUMBER": "US_BANK_NUMBER",
    }

    def __init__(
        self,
        supported_language: str = "en",
        supported_entities: List[str] = None,
        check_label_groups: Tuple[Set, Set] = None,
    ):
        """
        Initialize the FlairRecognizer.

        :param supported_language: Language to use
        :param supported_entities: Entities to use
        :param check_label_groups: Label groups to check

        :returns: FlairRecognizer object

        """
        self.check_label_groups = check_label_groups or self._DEFAULT_CHECK_LABEL_GROUPS

        supported_entities = supported_entities or self.RECOGNIZABLE_ENTITIES
        self.model = fl.models.SequenceTagger.load(
            self._DEFAULT_MODEL_LANGUAGES.get(supported_language)
        )

        super().__init__(
            supported_entities=supported_entities,
            supported_language=supported_language,
            name="Flair Analytics",
        )

    # main method for the recognizer
    def analyze(
        self,
        text: str,
        entities: List[str],
        nlp_artifacts: pa.nlp_engine.NlpArtifacts = None,
    ) -> List[pa.RecognizerResult]:
        """
        Analyze text and return the results.

        :param text:          The text for analysis.
        :param entities:      The list of entities to recognize.
        :param nlp_artifacts: Not used by this recognizer but needed for the interface.

        :returns: The list of Presidio RecognizerResult constructed from the recognized Flair detections.
        """

        results = []

        sentences = fl.data.Sentence(text)
        self.model.predict(sentences)

        # If there are no specific list of entities, we will look for all of it.
        if not entities:
            entities = self.supported_entities

        # Go over the entities and check if they are in the supported entities list.
        for entity in entities:
            if entity not in self.supported_entities:
                continue

            # Go over the sentences and check if the entity is in the sentence.
            for ent in sentences.get_spans("ner"):
                if not self.__check_label(
                    entity, ent.labels[0].value, self.check_label_groups
                ):
                    continue

                # If the entity is in the sentence, we will add it to the results.
                textual_explanation = self._DEFAULT_EXPLANATION.format(
                    ent.labels[0].value
                )

                # Build the explanation for the result
                explanation = self._build_flair_explanation(
                    round(ent.score, 2), textual_explanation
                )

                flair_result = self._convert_to_recognizer_result(ent, explanation)

                results.append(flair_result)

        return results

    def _convert_to_recognizer_result(
        self, entity: fl.data.Span, explanation: str
    ) -> pa.RecognizerResult:
        """
        Convert Flair result to Presidio RecognizerResult.

        :param entity:      Flair entity of Span
        :param explanation: Presidio AnalysisExplanation

        :returns: Presidio RecognizerResult
        """

        # Convert the entity type to Presidio entity type
        entity_type = self._DEFAULT_PRESIDIO_EQUIVALENCES.get(entity.tag, entity.tag)

        # Convert the score to Presidio score
        flair_score = round(entity.score, 2)

        # Create the Presidio RecognizerResult from the Flair entity
        flair_results = pa.RecognizerResult(
            entity_type=entity_type,
            start=entity.start_position,
            end=entity.end_position,
            score=flair_score,
            analysis_explanation=explanation,
        )

        return flair_results

    def _build_flair_explanation(
        self, original_score: float, explanation: str
    ) -> pa.AnalysisExplanation:
        """
        Create explanation for why this result was detected.

        :param original_score: Score given by this recognizer
        :param explanation:    Explanation string

        :returns: Presidio AnalysisExplanation
        """

        # Create the Presidio AnalysisExplanation for the result
        explanation = pa.AnalysisExplanation(
            recognizer=self.__class__.__name__,
            original_score=original_score,
            textual_explanation=explanation,
        )
        return explanation

    # sanity check of the entity and label before recognition
    @staticmethod
    def __check_label(
        entity: str, label: str, check_label_groups: Tuple[Set, Set]
    ) -> bool:
        return any(
            entity in egrp and label in lgrp for egrp, lgrp in check_label_groups
        )


# get the analyzer engine based on the model
def _get_analyzer_engine(
    model: str = None, entities: List[str] = None
) -> pa.AnalyzerEngine:
    """
    Return pa.AnalyzerEngine.

    :param model: The model to use. Can be "spacy", "flair", "pattern" or "whole".
    :param entities: The list of entities to use.

    :returns: pa.AnalyzerEngine
    """
    # recognizer registry that can store multiple recognizers
    registry = pa.RecognizerRegistry()
    if model == Models.SPACY:
        # custom spacy recognizer
        spacy_recognizer = CustomSpacyRecognizer()
        # add the custom build spacy recognizer
        registry.add_recognizer(spacy_recognizer)
    elif model == Models.FLAIR:
        # pre-trained flair recognizer
        flair_recognizer = FlairRecognizer()
        # add the custom build flair recognizer
        registry.add_recognizer(flair_recognizer)
    elif model == Models.PATTERN:
        # add the pattern recognizer
        pattern_recognizer_factory = PatternRecognizerFactory()
        for recognizer in pattern_recognizer_factory._create_pattern_recognizer():
            registry.add_recognizer(recognizer)
    elif model == Models.WHOLE:
        spacy_recognizer = CustomSpacyRecognizer()
        flair_recognizer = FlairRecognizer()
        registry.add_recognizer(spacy_recognizer)
        registry.add_recognizer(flair_recognizer)
        # add the pattern recognizer
        pattern_recognizer_factory = PatternRecognizerFactory()
        for recognizer in pattern_recognizer_factory._create_pattern_recognizer():
            registry.add_recognizer(recognizer)
    elif not model and entities:
        if set(entities) & CustomSpacyRecognizer.RECOGNIZABLE_ENTITIES:
            spacy_recognizer = CustomSpacyRecognizer()
            registry.add_recognizer(spacy_recognizer)
        if set(entities) & FlairRecognizer.RECOGNIZABLE_ENTITIES:
            flair_recognizer = FlairRecognizer()
            registry.add_recognizer(flair_recognizer)
        # add the pattern recognizer
        if set(entities) & (set(PatternRecognizerFactory.RECOGNIZABLE_ENTITIES.keys())):
            pattern_recognizer_factory = PatternRecognizerFactory()
            for recognizer in pattern_recognizer_factory._create_pattern_recognizer():
                registry.add_recognizer(recognizer)
    else:
        raise ValueError(
            f"argument of model and entities can not be None at the same time"
        )
    analyzer = pa.AnalyzerEngine(
        registry=registry,
        supported_languages=["en"],
    )

    supported_entities = analyzer.get_supported_entities()

    if entities and not all(item in supported_entities for item in entities):
        not_supported_entities = [
            item for item in entities if item not in supported_entities
        ]
        raise ValueError(
            f"The current model {model} doesn't support the following entities: {not_supported_entities}. "
            f"Supported entities are: {supported_entities}"
        )
    return analyzer


def _get_anonymizer_engine() -> pre_anoymizer.AnonymizerEngine:
    """
    Return AnonymizerEngine.

    :returns: The AnonymizerEngine.
    """
    return pre_anoymizer.AnonymizerEngine()


def _anonymize(
    text: str,
    analyze_results: List[pa.RecognizerResult],
    entity_operator_map: dict = None,
    is_full_text: bool = True,
) -> str:
    """
    Anonymize identified input using Presidio Abonymizer.

    :param text:                The text for analysis.
    :param analyze_results:     The list of Presidio RecognizerResult constructed from
    :param entity_operator_map: The entity_operator_map is a dictionary that maps entity to operator name and operator params.
    :param is_full_text:        Whether the text is full text or not.

    :returns: The anonymized text.
    """
    if not text:
        return ""

    anonymizer_engine = _get_anonymizer_engine()
    if not entity_operator_map:
        operators = None
    else:
        # Create OperatorConfig based on the entity_operator_map
        operators = {
            entity: OperatorConfig(operator_name, operator_params)
            for entity, (operator_name, operator_params) in entity_operator_map.items()
        }

    if is_full_text:
        # Anonymize the entire text
        return anonymizer_engine.anonymize(
            text=text, analyzer_results=analyze_results, operators=operators
        ).text
    # Tokenize the text to sentences
    sentences = nltk.sent_tokenize(text)
    anonymized_sentences = []
    current_idx = 0

    # Find the sentence that has pii entity
    for sentence in sentences:
        start_idx = current_idx
        end_idx = start_idx + len(sentence)

        # Get the entities that are in the sentence, update hte start_idx and end_idx
        sentence_results = [
            pa.RecognizerResult(
                result.entity_type,
                start=result.start - start_idx,
                end=result.end - start_idx,
                score=result.score,
            )
            for result in analyze_results
            if result.start >= start_idx and result.end <= end_idx
        ]

        # If PII is detected
        if sentence_results:
            anonymized_sentence = anonymizer_engine.anonymize(
                text=sentence, analyzer_results=sentence_results, operators=operators
            ).text
            anonymized_sentences.append(anonymized_sentence)

        current_idx = end_idx

    return " ".join(anonymized_sentences)


def _get_tokens(
    text: str, analyze_results: List[pa.RecognizerResult], is_full: bool = True
) -> List[str]:
    """
    Get the full tokens or only contains the entities that can form a sentence.

    :param text:            The text for analysis.
    :param analyze_results: The list of Presidio RecognizerResult constructed from
    :param is_full:         Whether return full tokens or just the tokens that only contains the entities that can form a sentence.

    :returns: The tokens.
    """

    tokens = []
    # sort by start index
    results = sorted(analyze_results, key=lambda x: x.start)
    for i, res in enumerate(results):
        if i == 0:
            tokens.append(text[: res.start])

        # append entity text and entity type
        tokens.append((text[res.start : res.end], res.entity_type))

        # if another entity coming i.e. we're not at the last results element,
        # add text up to next entity
        if i != len(results) - 1:
            tokens.append(text[res.end : results[i + 1].start])
        # if no more entities coming, add all remaining text
        else:
            tokens.append(text[res.end :])

    # get the tokens that only contains the entities that can form a sentence
    part_annontated_tokens = []
    if not is_full:
        last_end_sentence = 0
        for i, token in enumerate(tokens):
            if any(item in token for item in [".", "!", "?"]) and any(
                type(item) is tuple for item in tokens[last_end_sentence:i]
            ):
                part_annontated_tokens.append(tokens[last_end_sentence:i])
                last_end_sentence = i
        return part_annontated_tokens
    return tokens


def _annotate(
    text: str, st_analyze_results: List[pa.RecognizerResult], is_full_html: bool = True
) -> List[str]:
    """
    Annotate identified input using Presidio Anonymizer.

    :param text:               The text for analysis.
    :param st_analyze_results: The list of Presidio RecognizerResult constructed from analysis.
    :param is_full_html:       Whether generate full html or not.

    :returns: The list of tokens with the identified entities.

    """
    return _get_tokens(text, st_analyze_results, is_full_html)


def _process(
    text: str,
    model: pa.AnalyzerEngine,
    score_threshold: float,
    entities: List[str] = None,
    entities_operator_map: dict = None,
    is_full_text: bool = True,
) -> Tuple[str, list]:
    """
    Process the text of str using the model.

    :param text:                  Text to process
    :param model:                 Model to use for processing
    :param entities:              Entities to recognize
    :param entities_operator_map: The entity_operator_map is a dictionary that maps entity to operator name and operator params.
    :param score_threshold:       The score threshold to use for recognition
    :param is_full_text:          Whether to return the full text or just the annotated text

    :returns: A tuple of:

              * the anonymized text
              * the list of Presidio RecognizerResult constructed from analysis
    """

    # get the analyzer engine
    analyzer = model

    # analyze the text that can be used for anonymization
    results = analyzer.analyze(
        text=text,
        language="en",
        entities=entities,
        score_threshold=score_threshold,
        return_decision_process=True,
    )

    # anonymize the text, replace the pii entities with the labels
    anonymized_text = _anonymize(text, results, entities_operator_map, is_full_text)

    return anonymized_text, results


def _get_single_html(
    text: str, results: List[pa.RecognizerResult], is_full_html: bool = True
):
    """
    Generate the html for a single txt file.

    :param text:         The text for analysis.
    :param results:      The list of Presidio RecognizerResult constructed from analysis.
    :param is_full_html: Whether generate full html or not.

    :returns: The html string for a single txt file.
    """
    # convert the results to tokens to generate the html
    tokens = _annotate(text, results, is_full_html)
    html = at_util.get_annotated_html(*tokens)

    # avoid the error during rendering of the \n in the html
    backslash_char = "\\"

    html_str = f"<p>{html.replace('{backslash_char}n', '<br>')}</p>"

    return html_str


def _get_single_json(results: List[pa.RecognizerResult], is_full_report: bool = True):
    """
    Generate the json for a single txt file.

    :param results:        The list of Presidio RecognizerResult constructed from analysis.
    :param is_full_report: Whether generate full json or not.

    :returns: The json string for a single txt file.
    """
    # generate the stats report if needed
    if not is_full_report:
        stats = []
        # add the simplify stats logic here
        for item in results:
            item.analysis_explanation = None
            stats.append(item)
    else:
        stats = results

    return stats


def _get_all_html(
    txt_content: dict,
    res_dict: dict,
    is_full_html: bool = True,
):
    """
    Generate the html for all txt files.

    :param txt_content:  The dictionary of txt file name and content.
    :param res_dict:     The dictionary of txt file name and the list of Presidio RecognizerResult constructed from analysis.
    :param is_full_html: Whether generate full html or not.

    :returns: The html string for all txt files.

    """
    # These are placeholder for the html string
    html_index = "<html><head><title>Highlighted Pii Entities</title></head><body><h1>Highlighted Pii Entities</h1><ul>"
    html_content = ""
    for txt_file, results in res_dict.items():
        txt = txt_content[txt_file]
        html_index += f"<li><a href='#{txt_file}'>{txt_file}</a></li>"
        html_content += f"<li><h2>{txt_file}</h2><p>{_get_single_html(txt, results, is_full_html)}</p></li>"
    html_index += "</ul>"
    html_res = f"{html_index}{html_content}</body></html>"

    return html_res


def _get_all_rpt(res_dict: dict, is_full_report: bool = True):
    """
    Generate the stats report for all txt files.

    :param res_dict:       The dictionary of txt file name and the list of Presidio RecognizerResult constructed from analysis.
    :param is_full_report: Whether generate full report or not.

    :returns: The stats report for all txt files.
    """
    # These are placeholder for the json report
    stats_dict = {}
    for txt_file, results in res_dict.items():
        new_stats = []
        for item in _get_single_json(results, is_full_report):
            if is_full_report:
                item.analysis_explanation = item.analysis_explanation.to_dict()
                new_stats.append(item.to_dict())
            else:
                tmp_dict = item.to_dict()
                tmp_dict.pop("analysis_explanation")
                tmp_dict.pop("recognition_metadata")
                new_stats.append(tmp_dict)
        stats_dict[txt_file] = new_stats
    return stats_dict


def recognize_pii(
    context: mlrun.MLClientCtx,
    input_path: Union[str, pathlib.Path],
    html_key: str,
    score_threshold: float,
    output_directory: str = None,
    entities: List[
        str
    ] = None,  # List of entities to recognize, default is recognizing all
    entity_operator_map: dict = None,
    model: str = None,
    generate_json: bool = True,
    generate_html: bool = True,
    is_full_text: bool = True,
    is_full_html: bool = True,
    is_full_report: bool = True,
) -> Union[Tuple[str, pd.DataFrame, dict, dict], Tuple[str, pd.DataFrame, dict]]:
    """
    Walk through the input path, recognize PII in text and store the anonymized text in the output path.
    Generate the html with different colors for each entity, json report of the explanation.

    :param context:              The MLRun context. this is needed for log the artifacts.
    :param input_path:           The input path of the text files needs to be analyzed.
    :param html_key:             The html key for the artifact.
    :param score_threshold:      The score threshold to mark the recognition as trusted.
    :param output_directory:     The output directory path to store the anonymized text.
    :param entities:             The list of entities to recognize.
    :param entity_operator_map:  The map of entity to operator (mask, redact, replace, keep, hash, and its params)
    :param model:                The model to use. Can be "spacy", "flair", "pattern" or "whole".
    :param generate_json:        Whether to generate the json report of the explanation.
    :param generate_html:        Whether to generate the html report of the explanation.
    :param is_full_text:         Whether to return the full text or only the masked text.
    :param is_full_html:         Whether to return the full html or just the annotated text
    :param is_full_report:       Whether to return the full report or just the score and start, end index

    :returns: A tuple of:

              * Path to the output directory
              * The json report of the explanation (if generate_json is True)
              * A dictionary of errors files that were not processed

    """

    # Set output directory
    if output_directory is None:
        output_directory = tempfile.mkdtemp()

    # Create the output directory:
    output_directory = pathlib.Path(output_directory)
    if not output_directory.exists():
        output_directory.mkdir(parents=True, exist_ok=True)

    txt_files_directory = pathlib.Path(input_path)
    successes = []
    errors = {}

    res_dict = {}
    txt_content = {}
    # Load the model:
    analyzer = _get_analyzer_engine(model, entities)
    logger.info("Model loaded")
    # Go over the text files in the input path, analyze and anonymize them:
    for txt_file in tqdm(
        list(txt_files_directory.glob("*.txt")),
        desc="Processing files",
        unit="file",
    ):
        try:
            # Load the str from the text file
            text = txt_file.read_text()
            txt_content[str(txt_file)] = text
            # Process the text to recoginze the pii entities in it
            anonymized_text, results = _process(
                text=text,
                model=analyzer,
                entities=entities,
                entities_operator_map=entity_operator_map,
                score_threshold=score_threshold,
                is_full_text=is_full_text,
            )
            res_dict[str(txt_file)] = results
            # Store the anonymized text in the output path
            output_file = output_directory / f"{txt_file.stem}.txt"
            output_file.parent.mkdir(parents=True, exist_ok=True)
            with open(output_file, "w") as f:
                f.write(anonymized_text)
            successes.append([txt_file.name, output_file.name])
        except Exception as e:
            errors[str(txt_file)] = str(e)
            logger.error(f"Error processing {txt_file}: {e}")

    successes = pd.DataFrame(
        successes,
        columns=["original_file", "anonymized_file"],
    )

    if generate_html:
        # Generate the html report
        html_res = _get_all_html(txt_content, res_dict, is_full_html)
        # Store the html report in the context
        arti_html = mlrun.artifacts.Artifact(body=html_res, format="html", key=html_key)
        context.log_artifact(arti_html)
    if generate_json:
        # Generate the json report
        json_res = _get_all_rpt(res_dict, is_full_report)
        return str(output_directory), successes, errors, json_res
    return str(output_directory), successes, errors

+    base_image: mlrun/mlrun
+    commands: []
+    code_origin: ''
+    origin_filename: ''
+    requirements:
+    - nltk
+    - pandas
+    - presidio-anonymizer
+    - presidio-analyzer
+    - torch
+    - flair@git+https://github.com/flairNLP/flair.git@d4ed67bf663e4066517f00397412510d90043653
+    - st-annotated-text
+    - https://huggingface.co/beki/en_spacy_pii_distilbert/resolve/main/en_spacy_pii_distilbert-any-py3-none-any.whl
+  entry_points:
+    analyze:
+      name: analyze
+      doc: Analyze text and return the results.
+      parameters:
+      - name: self
+      - name: text
+        type: str
+        doc: The text for analysis.
+      - name: entities
+        type: List[str]
+        doc: The list of entities to recognize.
+      - name: nlp_artifacts
+        type: pa.nlp_engine.NlpArtifacts
+        doc: Not used by this recognizer but needed for the interface.
+        default: null
+      outputs:
+      - doc: The list of Presidio RecognizerResult constructed from the recognized
+          Flair detections.
+        type: List[pa.RecognizerResult]
+      lineno: 381
+      has_varargs: false
+      has_kwargs: false
+    recognize_pii:
+      name: recognize_pii
+      doc: 'Walk through the input path, recognize PII in text and store the anonymized
+        text in the output path.
+
+        Generate the html with different colors for each entity, json report of the
+        explanation.'
+      parameters:
+      - name: context
+        type: MLClientCtx
+        doc: The MLRun context. this is needed for log the artifacts.
+      - name: input_path
+        type: Union[str, Path]
+        doc: The input path of the text files needs to be analyzed.
+      - name: html_key
+        type: str
+        doc: The html key for the artifact.
+      - name: score_threshold
+        type: float
+        doc: The score threshold to mark the recognition as trusted.
+      - name: output_directory
+        type: str
+        doc: The output directory path to store the anonymized text.
+        default: null
+      - name: entities
+        type: List[str]
+        doc: The list of entities to recognize.
+        default: null
+      - name: entity_operator_map
+        type: dict
+        doc: The map of entity to operator (mask, redact, replace, keep, hash, and
+          its params)
+        default: null
+      - name: model
+        type: str
+        doc: The model to use. Can be "spacy", "flair", "pattern" or "whole".
+        default: null
+      - name: generate_json
+        type: bool
+        doc: Whether to generate the json report of the explanation.
+        default: true
+      - name: generate_html
+        type: bool
+        doc: Whether to generate the html report of the explanation.
+        default: true
+      - name: is_full_text
+        type: bool
+        doc: Whether to return the full text or only the masked text.
+        default: true
+      - name: is_full_html
+        type: bool
+        doc: Whether to return the full html or just the annotated text
+        default: true
+      - name: is_full_report
+        type: bool
+        doc: Whether to return the full report or just the score and start, end index
+        default: true
+      outputs:
+      - doc: 'A tuple of:'
+        type: Union[Tuple[str, pd.DataFrame, dict, dict], Tuple[str, pd.DataFrame,
+          dict]]
+      lineno: 845
+      has_varargs: false
+      has_kwargs: false
+  description: This function is used to recognize PII in a directory of text files
+  default_handler: recognize_pii
+  disable_auto_mount: false
+  clone_target_dir: ''
+  env: []
+  priority_class_name: ''
+  preemption_mode: prevent
+  affinity: null
+  tolerations: null
+  security_context: {}
+verbose: false
diff --git a/functions/master/pii_recognizer/0.3.0/src/item.yaml b/functions/master/pii_recognizer/0.3.0/src/item.yaml
new file mode 100644
index 00000000..41ead33b
--- /dev/null
+++ b/functions/master/pii_recognizer/0.3.0/src/item.yaml
@@ -0,0 +1,35 @@
+apiVersion: v1
+categories: 
+  - machine-learning
+  - data-preparation
+  - NLP
+description: This function is used to recognize PII in a directory of text files
+doc: ''
+example: pii_recognizer.ipynb
+generationDate: 2023-08-15:10-24
+hidden: false
+icon: ''
+labels:
+  author: pgw
+maintainers: []
+marketplaceType: ''
+mlrunVersion: 1.4.0
+name: pii-recognizer
+platformVersion: 3.5.3
+spec:
+  filename: pii_recognizer.py
+  handler: recognize_pii
+  image: mlrun/mlrun
+  kind: job
+  requirements:
+   - nltk
+   - pandas
+   - presidio-anonymizer
+   - presidio-analyzer
+   - torch
+   - flair@git+https://github.com/flairNLP/flair.git@d4ed67bf663e4066517f00397412510d90043653
+   - st-annotated-text
+   - https://huggingface.co/beki/en_spacy_pii_distilbert/resolve/main/en_spacy_pii_distilbert-any-py3-none-any.whl
+url: ''
+version: 0.3.0
+test_valid: False
diff --git a/functions/master/pii_recognizer/0.3.0/src/pii_recognizer.ipynb b/functions/master/pii_recognizer/0.3.0/src/pii_recognizer.ipynb
new file mode 100644
index 00000000..48d1100d
--- /dev/null
+++ b/functions/master/pii_recognizer/0.3.0/src/pii_recognizer.ipynb
@@ -0,0 +1,2015 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "7412335f",
+   "metadata": {},
+   "source": [
+    "# PII Recognizer\n",
+    "\n",
+    "A function to detect pii data and anonymize the pii entity in the text. \n",
+    "\n",
+    "In this notebook we will go over the function's docs and outputs and see an end-to-end example of running it.\n",
+    "\n",
+    "1. [Documentation](#chapter1)\n",
+    "2. [Results](#chapter2)\n",
+    "3. [End-to-end Demo](#chapter3)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0bb6c621",
+   "metadata": {},
+   "source": [
+    "<a id=\"chapter1\"></a>\n",
+    "## 1. Documentation\n",
+    "\n",
+    "The function receive a directory path with all the text files in it. It walk through the directory, get all the text file. Then it detect the pii entity inside of the text file, apply the operator on the entity. Generate the html file with all pii entity highlighted. Generate the json report has the explaination of the process.\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "de1a1349",
+   "metadata": {},
+   "source": [
+    "### 1.1. Parameters:\n",
+    "* **context**: `mlrun.MLClientCtx`\n",
+    "    \n",
+    "    The MLRun context\n",
+    "    \n",
+    "* **input_path**: `str`\n",
+    " \n",
+    "    The input directory with all the text files\n",
+    "     \n",
+    "* **output_path**: `str`\n",
+    " \n",
+    "    The directory that is used to store the anonymized text files. it is also used for mlrun to log the artifact as zip file\n",
+    "     \n",
+    "* **output_suffix**: `str`\n",
+    " \n",
+    "    The suffix will added to the input file. for example if the input text file is pii.txt, if output_suffix is \"anonymized\", the output file would be pii_anonymized.txt\n",
+    "     \n",
+    "* **html_key**: `str`\n",
+    " \n",
+    "     The artifact name of the html file \n",
+    "     \n",
+    "* **entities**: `List[str]`\n",
+    " \n",
+    "     The list of the entities to recognize. Please make sure the model you choose can recognize the entities. \n",
+    "\n",
+    "* **entity_operator_map**: `List[str]`\n",
+    "     For different entity, we can apply different operator. Now supports Keep, Mask, Replace, Redact, Hash\n",
+    " \n",
+    "     <pre>\n",
+    "     entity_operator_map = {\n",
+    "        \"PERSON\": (\"keep\", {}),\n",
+    "        \"EMAIL\": (\"mask\", {\"masking_char\": \"#\", \"chars_to_mask\": 5, \"from_end\": False}),\n",
+    "        \"PHONE\": (\"hash\", {}),\n",
+    "        \"LOCATION\": (\"redact\", {}),\n",
+    "        \"ORGANIZATION\": (\"replace\", {\"new_value\": \"Company XYZ\"})\n",
+    "        }\n",
+    "     </pre>\n",
+    "      \n",
+    "    In this example:\n",
+    "\n",
+    "    - \"PERSON\" entities are kept as they are using the \"keep\" operator.   \n",
+    "    - \"EMAIL_ADDRESS\" entities are masked with the \"#\" character, masking the first five characters.   \n",
+    "    - \"PHONE_NUMBER\" entities are replaced with their hashed value using the \"hash\" operator.\n",
+    "    - \"LOCATION\" entities are completely removed using the \"redact\" operator.\n",
+    "    - \"ORGANIZATION\" entities are replaced with the string \"Company XYZ\" using the \"replace\" operator.\n",
+    "    \n",
+    "* **model**: `str`\n",
+    "    \n",
+    "    - \"whole\", \"spacy\", \"pattern\", \"flair\". The default is \"whole\".\n",
+    "    \n",
+    "    For each model, it can detect some entities. The \"whole\" model is combined all three models together. It can detect all the entities list below. \n",
+    "    \n",
+    "    \n",
+    "    - \"spacy\" : [\"LOCATION\", \"PERSON\",\"NRP\",\"ORGANIZATION\",\"DATE_TIME\"]\n",
+    "    \n",
+    "    - \"pattern\": [\"CREDIT_CARD\", \"SSN\", \"PHONE\", \"EMAIL\"]\n",
+    "    \n",
+    "    - \"flair\": [ \"LOCATION\",\n",
+    "        \"PERSON\",\n",
+    "        \"NRP\",\n",
+    "        \"GPE\",\n",
+    "        \"ORGANIZATION\",\n",
+    "        \"MAC_ADDRESS\",\n",
+    "        \"US_BANK_NUMBER\",\n",
+    "        \"IMEI\",\n",
+    "        \"TITLE\",\n",
+    "        \"LICENSE_PLATE\",\n",
+    "        \"US_PASSPORT\",\n",
+    "        \"CURRENCY\",\n",
+    "        \"ROUTING_NUMBER\",\n",
+    "        \"US_ITIN\",\n",
+    "        \"US_BANK_NUMBER\",\n",
+    "        \"US_DRIVER_LICENSE\",\n",
+    "        \"AGE\",\n",
+    "        \"PASSWORD\",\n",
+    "        \"SWIFT_CODE\"\n",
+    "        ]\n",
+    "       \n",
+    "* **score_threshold**:\n",
+    "     \n",
+    "     Minimum confidence value, the default is 0 to align with presidio.AnalyzerEngine\n",
+    "     \n",
+    "* **generate_json_rpt**:\n",
+    "\n",
+    "     Whether to generate the json report of the explaination\n",
+    " \n",
+    "* **generate_html_rpt**:\n",
+    "\n",
+    "     Whether to generate the html with highlighted pii entities or not\n",
+    "     \n",
+    "* **is_full_text**:\n",
+    "\n",
+    "     Whether to return the full text or just the sentences with pii entities.\n",
+    "     \n",
+    "* **is_full_html**: `bool`\n",
+    " \n",
+    "     Whether to return the full html or just the annotated html\n",
+    "        \n",
+    "* **is_full_report**: `bool`\n",
+    " \n",
+    "     Whether to return the full json report or just the score and start, end index\n",
+    " \n",
+    " "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "83f616d2",
+   "metadata": {},
+   "source": [
+    "### 1.2. Outputs:\n",
+    "\n",
+    "There are two outputs of this function. \n",
+    "\n",
+    "* **output_path**: `str`\n",
+    "    \n",
+    "    The directory stored all the anonymized text files\n",
+    "\n",
+    "* **rpt_json**: `dict`\n",
+    "\n",
+    "    A dict of reporting to explain how does the model detect the pii entity\n",
+    "    \n",
+    "* **errors** : `dict`\n",
+    "    A dict of errors when processing the text files if any\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "310de23a",
+   "metadata": {},
+   "source": [
+    "<a id=\"chapter2\"></a>\n",
+    "## 2. Results\n",
+    "\n",
+    "The result of the function looks like the following: \n",
+    "\n",
+    "For example if the input string is \n",
+    "\n",
+    "`John Doe 's ssn is 182838483, connect john doe with john_doe@gmail.com or 6288389029, he can pay you with 41482929939393`\n",
+    "\n",
+    "The anonymized_text is \n",
+    "\n",
+    "`<PERSON>'s <ORGANIZATION> is <SSN>, connect <PERSON> with <PERSON> <EMAIL> or <PHONE>, he can pay you with <CREDIT_CARD>`\n",
+    "\n",
+    "The html_str is\n",
+    "\n",
+    "<html><body><p><span><span style=\"display:inline-flex;flex-direction:row;align-items:center;background:#21c35466;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1\">John Doe&#x27;s<span style=\"border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch\"></span><span style=\"margin-left:0.5rem;font-size:0.75rem;opacity:0.5\">PERSON</span></span> <span style=\"display:inline-flex;flex-direction:row;align-items:center;background:#80849566;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1\">ssn<span style=\"border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch\"></span><span style=\"margin-left:0.5rem;font-size:0.75rem;opacity:0.5\">ORGANIZATION</span></span> is <span style=\"display:inline-flex;flex-direction:row;align-items:center;background:#ffa42133;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1\">182838483<span style=\"border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch\"></span><span style=\"margin-left:0.5rem;font-size:0.75rem;opacity:0.5\">SSN</span></span>, connect me with <span style=\"display:inline-flex;flex-direction:row;align-items:center;background:#21c35466;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1\">john_doe@gmail.com<span style=\"border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch\"></span><span style=\"margin-left:0.5rem;font-size:0.75rem;opacity:0.5\">PERSON</span></span><span style=\"display:inline-flex;flex-direction:row;align-items:center;background:#ff4b4b33;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1\">john_doe@gmail.com<span style=\"border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch\"></span><span style=\"margin-left:0.5rem;font-size:0.75rem;opacity:0.5\">EMAIL</span></span> or <span style=\"display:inline-flex;flex-direction:row;align-items:center;background:#ff4b4b33;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1\">6288389029<span style=\"border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch\"></span><span style=\"margin-left:0.5rem;font-size:0.75rem;opacity:0.5\">PHONE</span></span>, he can pay you with <span style=\"display:inline-flex;flex-direction:row;align-items:center;background:#ffa42133;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1\">41482929939393<span style=\"border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch\"></span><span style=\"margin-left:0.5rem;font-size:0.75rem;opacity:0.5\">CREDIT_CARD</span></span>\n",
+    "</span></p></body></html>\n",
+    "\n",
+    "The json report that explain the output is\n",
+    "\n",
+    "```yaml\n",
+    "\n",
+    "[\n",
+    "  {\n",
+    "    \"entity_type\": \"PERSON\", # result of the labeling\n",
+    "    \"start\": 0, # start positon of the entity\n",
+    "    \"end\": 9,  # end postion of the entity\n",
+    "    \"score\": 0.99, # the confident score of the model + context_improvement\n",
+    "    \"analysis_explanation\": {\n",
+    "      \"recognizer\": \"FlairRecognizer\", # which recognizer is used to recognize this entity\n",
+    "      \"pattern_name\": null,\n",
+    "      \"pattern\": null,\n",
+    "      \"original_score\": 0.99, # The original confident score from the pre-trained model\n",
+    "      \"score\": 0.99, # the final score = original_score + score_context_improvement\n",
+    "      \"textual_explanation\": \"Identified as PER by Flair's Named Entity Recognition\",\n",
+    "      \"score_context_improvement\": 0, # The improvement from the context\n",
+    "      \"supportive_context_word\": \"\",\n",
+    "      \"validation_result\": null\n",
+    "    },\n",
+    "    \"recognition_metadata\": {\n",
+    "      \"recognizer_identifier\": \"Flair Analytics_5577088640\",\n",
+    "      \"recognizer_name\": \"Flair Analytics\"\n",
+    "    }\n",
+    "  },\n",
+    "  ....\n",
+    "]\n",
+    "```\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ce2199fb",
+   "metadata": {},
+   "source": [
+    "<a id=\"chapter3\"></a>\n",
+    "## 3. End-to-end Demo\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fc42debf-f363-48f9-9512-3951d352fb1d",
+   "metadata": {},
+   "source": [
+    "### 3.1. Recognition configurations \n",
+    " - model: which model you want to use.\n",
+    " - entities: What entities to recognize? \n",
+    " - score_threshold: From which score to mark the recogniztion as trusted?\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 74,
+   "id": "2a290d0f-15da-434d-b3fc-46ebb35be611",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "> 2023-07-31 02:17:04,305 [info] Project loaded successfully: {'project_name': 'pii'}\n",
+      "> 2023-07-31 02:17:04,312 [warning] Failed to add git metadata, ignore if path is not part of a git repo.: {'path': './', 'error': '/User/pii_recognizer'}\n",
+      "> 2023-07-31 02:17:04,408 [warning] artifact/output path is not defined or is local and relative, artifacts will not be visible in the UI: {'output_path': './'}\n",
+      "> 2023-07-31 02:17:04,409 [info] Storing function: {'name': 'pii-recognizer-recognize-pii', 'uid': '51b5ad8144004e52a1008c08850842c8', 'db': None}\n",
+      "2023-07-31 02:17:04,567 loading file /User/.flair/models/flair-pii-distilbert/models--beki--flair-pii-distilbert/snapshots/20fb59f1762edcf253bce67716a94a43cb075ae6/pytorch_model.bin\n",
+      "2023-07-31 02:17:07,730 SequenceTagger predicts: Dictionary with 21 tags: O, S-LOC, B-LOC, E-LOC, I-LOC, S-PER, B-PER, E-PER, I-PER, S-DATE_TIME, B-DATE_TIME, E-DATE_TIME, I-DATE_TIME, S-ORG, B-ORG, E-ORG, I-ORG, S-NRP, B-NRP, E-NRP, I-NRP\n",
+      "Model loaded\n"
+     ]
+    },
+    {
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+       "  const panelName = \"#\" + el.getAttribute('paneName')\n",
+       "  const resultPane = document.querySelector(panelName + \"-pane\");\n",
+       "  if (!resultPane.classList.contains(\"hidden\")) {\n",
+       "    resultPane.classList.add(\"hidden\");\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "</script>\n",
+       "<div class=\"master-wrapper\">\n",
+       "  <div class=\"block master-tbl\"><div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>project</th>\n",
+       "      <th>uid</th>\n",
+       "      <th>iter</th>\n",
+       "      <th>start</th>\n",
+       "      <th>state</th>\n",
+       "      <th>name</th>\n",
+       "      <th>labels</th>\n",
+       "      <th>inputs</th>\n",
+       "      <th>parameters</th>\n",
+       "      <th>results</th>\n",
+       "      <th>artifacts</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <td>pii</td>\n",
+       "      <td><div title=\"51b5ad8144004e52a1008c08850842c8\"><a href=\"https://dashboard.default-tenant.app.llm2.iguazio-cd0.com/mlprojects/pii/jobs/monitor/51b5ad8144004e52a1008c08850842c8/overview\" target=\"_blank\" >...850842c8</a></div></td>\n",
+       "      <td>0</td>\n",
+       "      <td>Jul 31 02:17:04</td>\n",
+       "      <td>completed</td>\n",
+       "      <td>pii-recognizer-recognize-pii</td>\n",
+       "      <td><div class=\"dictlist\">v3io_user=pengw</div><div class=\"dictlist\">kind=</div><div class=\"dictlist\">owner=pengw</div><div class=\"dictlist\">host=jupyter-pengw-5f99fb678d-mnvxl</div></td>\n",
+       "      <td></td>\n",
+       "      <td><div class=\"dictlist\">model=whole</div><div class=\"dictlist\">input_path=./data/</div><div class=\"dictlist\">output_path=./data/output1/</div><div class=\"dictlist\">entities=['PERSON', 'EMAIL', 'PHONE', 'LOCATION', 'ORGANIZATION']</div><div class=\"dictlist\">output_suffix=output</div><div class=\"dictlist\">html_key=highlighted</div><div class=\"dictlist\">score_threshold=0.5</div></td>\n",
+       "      <td></td>\n",
+       "      <td><div class=\"artifact\" onclick=\"expandPanel(this)\" paneName=\"result3723389a\" title=\"/files/pii_recognizer/pii-recognizer-recognize-pii/0/highlighted.html\">highlighted</div><div title=\"/User/pii_recognizer/pii-recognizer-recognize-pii/0/output_path.zip\">output_path</div><div class=\"artifact\" onclick=\"expandPanel(this)\" paneName=\"result3723389a\" title=\"/files/pii_recognizer/pii-recognizer-recognize-pii/0/rpt_json.json\">rpt_json</div><div title=\"/User/pii_recognizer/pii-recognizer-recognize-pii/0/errors.npz\">errors</div></td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div></div>\n",
+       "  <div id=\"result3723389a-pane\" class=\"right-pane block hidden\">\n",
+       "    <div class=\"pane-header\">\n",
+       "      <span id=\"result3723389a-title\" class=\"pane-header-title\">Title</span>\n",
+       "      <span onclick=\"closePanel(this)\" paneName=\"result3723389a\" class=\"close clickable\">&times;</span>\n",
+       "    </div>\n",
+       "    <iframe class=\"fileview\" id=\"result3723389a-body\"></iframe>\n",
+       "  </div>\n",
+       "</div>\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<b> > to track results use the .show() or .logs() methods  or <a href=\"https://dashboard.default-tenant.app.llm2.iguazio-cd0.com/mlprojects/pii/jobs/monitor/51b5ad8144004e52a1008c08850842c8/overview\" target=\"_blank\">click here</a> to open in UI</b>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "> 2023-07-31 02:17:12,403 [info] Run execution finished: {'status': 'completed', 'name': 'pii-recognizer-recognize-pii'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "import mlrun\n",
+    "artifact_path = \"./\"\n",
+    "proj = mlrun.get_or_create_project(\"pii\", \"./\")\n",
+    "fn = mlrun.code_to_function(\n",
+    "    project=\"pii\",\n",
+    "    name=\"pii_recognizer\",\n",
+    "    filename=\"pii_recognizer.py\",\n",
+    "    kind=\"job\",\n",
+    "    image=\"mlrun/mlrun\",\n",
+    "    handler=\"recognize_pii\",\n",
+    "    description=\"This function is used to recognize PII in a given text\",\n",
+    ")\n",
+    "run_obj = fn.run(\n",
+    "    artifact_path = artifact_path,\n",
+    "    params= {\n",
+    "        'model': \"whole\", \n",
+    "        'input_path': \"./data/\",\n",
+    "        'output_path': \"./data/output1/\",\n",
+    "        \"entities\": ['PERSON', \"EMAIL\", \"PHONE\", \"LOCATION\", \"ORGANIZATION\"], # the entities that needs to recognize\n",
+    "        \"output_suffix\": \"output\",\n",
+    "        \"html_key\": \"highlighted\",\n",
+    "        \"score_threshold\" : 0.5, # the score threshold to mark the recognition as trusted\n",
+    "    },\n",
+    "    returns = [\"output_path: path\", \"rpt_json: file\", \"errors: file\"],\n",
+    "    local=True,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "id": "38e1a44b-e045-4c50-a40f-fbc7e77d6c6b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "c23dc77030224dfc825d7da86c6c1220",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Processing files:   0%|          | 0/2 [00:00<?, ?file/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Dear Mr. <PERSON>,\n",
+      "\n",
+      "We are pleased to inform you that you have been selected as the winner of our exclusive vacation package giveaway! Congratulations! You, along with your family, will enjoy a luxurious stay at our resort in the beautiful city of <ORGANIZATION>. Your flight tickets have been booked, and you will be departing on July 15th, 2023.\n",
+      "\n",
+      "Please provide us with the necessary details to finalize your travel arrangements. We kindly request your full name, date of birth, passport number, and contact information. Rest assured that all provided information will be handled with utmost confidentiality and in compliance with data protection regulations.\n",
+      "\n",
+      "We look forward to creating unforgettable memories for you and your loved ones during your stay with us. If you have any questions or require further assistance, please don't hesitate to contact our customer support team.\n",
+      "\n",
+      "<PERSON> <ORGANIZATION> is 182838483, connect him with <EMAIL> or <PHONE>, he can pay you with <PHONE>9393\n"
+     ]
+    }
+   ],
+   "source": [
+    "#get the mlrun context\n",
+    "context = mlrun.get_or_create_ctx('pii_ctx1')\n",
+    "import pathlib\n",
+    "from tqdm.auto import tqdm\n",
+    "for i, txt_file in enumerate(\n",
+    "        tqdm(\n",
+    "            list(pathlib.Path(\"./data/output1/\").glob(\"*.txt\")),\n",
+    "            desc=\"Processing files\",\n",
+    "            unit=\"file\",\n",
+    "        )\n",
+    "    ):\n",
+    "            # Load the str from the text file\n",
+    "        text = txt_file.read_text()\n",
+    "        print(text)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 76,
+   "id": "72c31b9c-47cc-4e73-8c76-041f78cfd305",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<html><head><title>Highlighted Pii Entities</title></head><body><h1>Highlighted Pii Entities</h1><ul><li><a href='#data/letter.txt'>data/letter.txt</a></li><li><a href='#data/pii_data.txt'>data/pii_data.txt</a></li></ul><li><h2>data/letter.txt</h2><p><p><span>Dear Mr. <span style=\"display:inline-flex;flex-direction:row;align-items:center;background:#21c35466;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1\">John Doe<span style=\"border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch\"></span><span style=\"margin-left:0.5rem;font-size:0.75rem;opacity:0.5\">PERSON</span></span>,\n",
+       "\n",
+       "We are pleased to inform you that you have been selected as the winner of our exclusive vacation package giveaway! Congratulations! You, along with your family, will enjoy a luxurious stay at our resort in the beautiful city of <span style=\"display:inline-flex;flex-direction:row;align-items:center;background:#803df566;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1\">Riviera<span style=\"border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch\"></span><span style=\"margin-left:0.5rem;font-size:0.75rem;opacity:0.5\">LOCATION</span></span><span style=\"display:inline-flex;flex-direction:row;align-items:center;background:#80849566;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1\">Riviera<span style=\"border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch\"></span><span style=\"margin-left:0.5rem;font-size:0.75rem;opacity:0.5\">ORGANIZATION</span></span>. Your flight tickets have been booked, and you will be departing on July 15th, 2023.\n",
+       "\n",
+       "Please provide us with the necessary details to finalize your travel arrangements. We kindly request your full name, date of birth, passport number, and contact information. Rest assured that all provided information will be handled with utmost confidentiality and in compliance with data protection regulations.\n",
+       "\n",
+       "We look forward to creating unforgettable memories for you and your loved ones during your stay with us. If you have any questions or require further assistance, please don&#x27;t hesitate to contact our customer support team.\n",
+       "</span></p></p></li><li><h2>data/pii_data.txt</h2><p><p><span><span style=\"display:inline-flex;flex-direction:row;align-items:center;background:#21c35466;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1\">John smith&#x27;s<span style=\"border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch\"></span><span style=\"margin-left:0.5rem;font-size:0.75rem;opacity:0.5\">PERSON</span></span> <span style=\"display:inline-flex;flex-direction:row;align-items:center;background:#80849566;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1\">ssn<span style=\"border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch\"></span><span style=\"margin-left:0.5rem;font-size:0.75rem;opacity:0.5\">ORGANIZATION</span></span> is 182838483, connect him with <span style=\"display:inline-flex;flex-direction:row;align-items:center;background:#21c35466;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1\">John<span style=\"border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch\"></span><span style=\"margin-left:0.5rem;font-size:0.75rem;opacity:0.5\">PERSON</span></span><span style=\"display:inline-flex;flex-direction:row;align-items:center;background:#ff4b4b33;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1\">John_smith@gmail.com<span style=\"border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch\"></span><span style=\"margin-left:0.5rem;font-size:0.75rem;opacity:0.5\">EMAIL</span></span><span style=\"display:inline-flex;flex-direction:row;align-items:center;background:#21c35466;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1\">smith<span style=\"border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch\"></span><span style=\"margin-left:0.5rem;font-size:0.75rem;opacity:0.5\">PERSON</span></span>@gmail.com or <span style=\"display:inline-flex;flex-direction:row;align-items:center;background:#ff4b4b33;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1\">6288389029<span style=\"border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch\"></span><span style=\"margin-left:0.5rem;font-size:0.75rem;opacity:0.5\">PHONE</span></span>, he can pay you with <span style=\"display:inline-flex;flex-direction:row;align-items:center;background:#ff4b4b33;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1\">4148292993<span style=\"border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch\"></span><span style=\"margin-left:0.5rem;font-size:0.75rem;opacity:0.5\">PHONE</span></span>9393</span></p></p></li></body></html>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#check the highlighted html \n",
+    "html_output = context.get_cached_artifact(\"highlighted\")\n",
+    "html_str = mlrun.get_dataitem(html_output.get_target_path()).get().decode(\"utf-8\")\n",
+    "from IPython.core.display import display, HTML\n",
+    "display(HTML(html_str))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 78,
+   "id": "d4c7fb04-af53-4e63-8b0a-e14e1184f973",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{\n",
+      "    \"data/letter.txt\": [\n",
+      "        {\n",
+      "            \"entity_type\": \"PERSON\",\n",
+      "            \"start\": 9,\n",
+      "            \"end\": 17,\n",
+      "            \"score\": 1,\n",
+      "            \"analysis_explanation\": {\n",
+      "                \"recognizer\": \"CustomSpacyRecognizer\",\n",
+      "                \"pattern_name\": null,\n",
+      "                \"pattern\": null,\n",
+      "                \"original_score\": 1,\n",
+      "                \"score\": 1,\n",
+      "                \"textual_explanation\": \"Identified as PERSON by Spacy's Named Entity Recognition (Privy-trained)\",\n",
+      "                \"score_context_improvement\": 0,\n",
+      "                \"supportive_context_word\": \"\",\n",
+      "                \"validation_result\": null\n",
+      "            },\n",
+      "            \"recognition_metadata\": {\n",
+      "                \"recognizer_name\": \"CustomSpacyRecognizer\",\n",
+      "                \"recognizer_identifier\": \"CustomSpacyRecognizer_139944219101744\"\n",
+      "            }\n",
+      "        },\n",
+      "        {\n",
+      "            \"entity_type\": \"LOCATION\",\n",
+      "            \"start\": 248,\n",
+      "            \"end\": 255,\n",
+      "            \"score\": 1.0,\n",
+      "            \"analysis_explanation\": {\n",
+      "                \"recognizer\": \"FlairRecognizer\",\n",
+      "                \"pattern_name\": null,\n",
+      "                \"pattern\": null,\n",
+      "                \"original_score\": 1.0,\n",
+      "                \"score\": 1.0,\n",
+      "                \"textual_explanation\": \"Identified as LOC by Flair's Named Entity Recognition\",\n",
+      "                \"score_context_improvement\": 0,\n",
+      "                \"supportive_context_word\": \"\",\n",
+      "                \"validation_result\": null\n",
+      "            },\n",
+      "            \"recognition_metadata\": {\n",
+      "                \"recognizer_identifier\": \"Flair Analytics_139944219101936\",\n",
+      "                \"recognizer_name\": \"Flair Analytics\"\n",
+      "            }\n",
+      "        },\n",
+      "        {\n",
+      "            \"entity_type\": \"ORGANIZATION\",\n",
+      "            \"start\": 248,\n",
+      "            \"end\": 255,\n",
+      "            \"score\": 1,\n",
+      "            \"analysis_explanation\": {\n",
+      "                \"recognizer\": \"CustomSpacyRecognizer\",\n",
+      "                \"pattern_name\": null,\n",
+      "                \"pattern\": null,\n",
+      "                \"original_score\": 1,\n",
+      "                \"score\": 1,\n",
+      "                \"textual_explanation\": \"Identified as ORG by Spacy's Named Entity Recognition (Privy-trained)\",\n",
+      "                \"score_context_improvement\": 0,\n",
+      "                \"supportive_context_word\": \"\",\n",
+      "                \"validation_result\": null\n",
+      "            },\n",
+      "            \"recognition_metadata\": {\n",
+      "                \"recognizer_name\": \"CustomSpacyRecognizer\",\n",
+      "                \"recognizer_identifier\": \"CustomSpacyRecognizer_139944219101744\"\n",
+      "            }\n",
+      "        }\n",
+      "    ],\n",
+      "    \"data/pii_data.txt\": [\n",
+      "        {\n",
+      "            \"entity_type\": \"PERSON\",\n",
+      "            \"start\": 0,\n",
+      "            \"end\": 12,\n",
+      "            \"score\": 1,\n",
+      "            \"analysis_explanation\": {\n",
+      "                \"recognizer\": \"CustomSpacyRecognizer\",\n",
+      "                \"pattern_name\": null,\n",
+      "                \"pattern\": null,\n",
+      "                \"original_score\": 1,\n",
+      "                \"score\": 1,\n",
+      "                \"textual_explanation\": \"Identified as PERSON by Spacy's Named Entity Recognition (Privy-trained)\",\n",
+      "                \"score_context_improvement\": 0,\n",
+      "                \"supportive_context_word\": \"\",\n",
+      "                \"validation_result\": null\n",
+      "            },\n",
+      "            \"recognition_metadata\": {\n",
+      "                \"recognizer_name\": \"CustomSpacyRecognizer\",\n",
+      "                \"recognizer_identifier\": \"CustomSpacyRecognizer_139944219101744\"\n",
+      "            }\n",
+      "        },\n",
+      "        {\n",
+      "            \"entity_type\": \"ORGANIZATION\",\n",
+      "            \"start\": 13,\n",
+      "            \"end\": 16,\n",
+      "            \"score\": 1,\n",
+      "            \"analysis_explanation\": {\n",
+      "                \"recognizer\": \"CustomSpacyRecognizer\",\n",
+      "                \"pattern_name\": null,\n",
+      "                \"pattern\": null,\n",
+      "                \"original_score\": 1,\n",
+      "                \"score\": 1,\n",
+      "                \"textual_explanation\": \"Identified as ORG by Spacy's Named Entity Recognition (Privy-trained)\",\n",
+      "                \"score_context_improvement\": 0,\n",
+      "                \"supportive_context_word\": \"\",\n",
+      "                \"validation_result\": null\n",
+      "            },\n",
+      "            \"recognition_metadata\": {\n",
+      "                \"recognizer_name\": \"CustomSpacyRecognizer\",\n",
+      "                \"recognizer_identifier\": \"CustomSpacyRecognizer_139944219101744\"\n",
+      "            }\n",
+      "        },\n",
+      "        {\n",
+      "            \"entity_type\": \"PERSON\",\n",
+      "            \"start\": 53,\n",
+      "            \"end\": 58,\n",
+      "            \"score\": 1.0,\n",
+      "            \"analysis_explanation\": {\n",
+      "                \"recognizer\": \"FlairRecognizer\",\n",
+      "                \"pattern_name\": null,\n",
+      "                \"pattern\": null,\n",
+      "                \"original_score\": 1.0,\n",
+      "                \"score\": 1.0,\n",
+      "                \"textual_explanation\": \"Identified as PER by Flair's Named Entity Recognition\",\n",
+      "                \"score_context_improvement\": 0,\n",
+      "                \"supportive_context_word\": \"\",\n",
+      "                \"validation_result\": null\n",
+      "            },\n",
+      "            \"recognition_metadata\": {\n",
+      "                \"recognizer_identifier\": \"Flair Analytics_139944219101936\",\n",
+      "                \"recognizer_name\": \"Flair Analytics\"\n",
+      "            }\n",
+      "        },\n",
+      "        {\n",
+      "            \"entity_type\": \"PERSON\",\n",
+      "            \"start\": 48,\n",
+      "            \"end\": 52,\n",
+      "            \"score\": 0.87,\n",
+      "            \"analysis_explanation\": {\n",
+      "                \"recognizer\": \"FlairRecognizer\",\n",
+      "                \"pattern_name\": null,\n",
+      "                \"pattern\": null,\n",
+      "                \"original_score\": 0.87,\n",
+      "                \"score\": 0.87,\n",
+      "                \"textual_explanation\": \"Identified as PER by Flair's Named Entity Recognition\",\n",
+      "                \"score_context_improvement\": 0,\n",
+      "                \"supportive_context_word\": \"\",\n",
+      "                \"validation_result\": null\n",
+      "            },\n",
+      "            \"recognition_metadata\": {\n",
+      "                \"recognizer_identifier\": \"Flair Analytics_139944219101936\",\n",
+      "                \"recognizer_name\": \"Flair Analytics\"\n",
+      "            }\n",
+      "        },\n",
+      "        {\n",
+      "            \"entity_type\": \"EMAIL\",\n",
+      "            \"start\": 48,\n",
+      "            \"end\": 68,\n",
+      "            \"score\": 0.5,\n",
+      "            \"analysis_explanation\": {\n",
+      "                \"recognizer\": \"PatternRecognizer\",\n",
+      "                \"pattern_name\": \"EMAIL\",\n",
+      "                \"pattern\": \"\\\\S+@\\\\S+\",\n",
+      "                \"original_score\": 0.5,\n",
+      "                \"score\": 0.5,\n",
+      "                \"textual_explanation\": null,\n",
+      "                \"score_context_improvement\": 0,\n",
+      "                \"supportive_context_word\": \"\",\n",
+      "                \"validation_result\": null\n",
+      "            },\n",
+      "            \"recognition_metadata\": {\n",
+      "                \"recognizer_name\": \"PatternRecognizer\",\n",
+      "                \"recognizer_identifier\": \"PatternRecognizer_139944352474640\"\n",
+      "            }\n",
+      "        },\n",
+      "        {\n",
+      "            \"entity_type\": \"PHONE\",\n",
+      "            \"start\": 72,\n",
+      "            \"end\": 82,\n",
+      "            \"score\": 0.5,\n",
+      "            \"analysis_explanation\": {\n",
+      "                \"recognizer\": \"PatternRecognizer\",\n",
+      "                \"pattern_name\": \"PHONE\",\n",
+      "                \"pattern\": \"\\\\(?\\\\d{3}\\\\)?[-.\\\\s]?\\\\d{3}[-.\\\\s]?\\\\d{4}\",\n",
+      "                \"original_score\": 0.5,\n",
+      "                \"score\": 0.5,\n",
+      "                \"textual_explanation\": null,\n",
+      "                \"score_context_improvement\": 0,\n",
+      "                \"supportive_context_word\": \"\",\n",
+      "                \"validation_result\": null\n",
+      "            },\n",
+      "            \"recognition_metadata\": {\n",
+      "                \"recognizer_name\": \"PatternRecognizer\",\n",
+      "                \"recognizer_identifier\": \"PatternRecognizer_139944352476560\"\n",
+      "            }\n",
+      "        },\n",
+      "        {\n",
+      "            \"entity_type\": \"PHONE\",\n",
+      "            \"start\": 104,\n",
+      "            \"end\": 114,\n",
+      "            \"score\": 0.5,\n",
+      "            \"analysis_explanation\": {\n",
+      "                \"recognizer\": \"PatternRecognizer\",\n",
+      "                \"pattern_name\": \"PHONE\",\n",
+      "                \"pattern\": \"\\\\(?\\\\d{3}\\\\)?[-.\\\\s]?\\\\d{3}[-.\\\\s]?\\\\d{4}\",\n",
+      "                \"original_score\": 0.5,\n",
+      "                \"score\": 0.5,\n",
+      "                \"textual_explanation\": null,\n",
+      "                \"score_context_improvement\": 0,\n",
+      "                \"supportive_context_word\": \"\",\n",
+      "                \"validation_result\": null\n",
+      "            },\n",
+      "            \"recognition_metadata\": {\n",
+      "                \"recognizer_name\": \"PatternRecognizer\",\n",
+      "                \"recognizer_identifier\": \"PatternRecognizer_139944352476560\"\n",
+      "            }\n",
+      "        }\n",
+      "    ]\n",
+      "}\n"
+     ]
+    }
+   ],
+   "source": [
+    "#check the json report about the explanation.\n",
+    "rpt_output1 = context.get_cached_artifact(\"rpt_json\")\n",
+    "rpt_str1 = mlrun.get_dataitem(rpt_output1.get_target_path()).get().decode(\"utf-8\")\n",
+    "import json\n",
+    "obj = json.loads(rpt_str1)\n",
+    " \n",
+    "# Pretty Print JSON\n",
+    "json_formatted_str1 = json.dumps(obj, indent=4)\n",
+    "print(json_formatted_str1)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1182c119",
+   "metadata": {},
+   "source": [
+    "### 3.2. Masking configurations \n",
+    " - entity_operator_map: it defined what to do with recognized tokens? Mask them? mask them with what? remove them? replace them?\n",
+    "  <pre>\n",
+    "     entity_operator_map = {\n",
+    "        \"PERSON\": (\"keep\", {}),\n",
+    "        \"EMAIL\": (\"mask\", {\"masking_char\": \"😀\", \"chars_to_mask\": 5, \"from_end\": False}),\n",
+    "        \"PHONE\": (\"hash\", {}),\n",
+    "        \"LOCATION\": (\"redact\", {}),\n",
+    "        \"ORGANIZATION\": (\"replace\", {\"new_value\": \"Company XYZ\"})\n",
+    "        }\n",
+    "     </pre>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 81,
+   "id": "df325ea8-4b01-4485-b835-e0196ffe83d7",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "> 2023-07-31 02:20:40,550 [info] Project loaded successfully: {'project_name': 'pii'}\n",
+      "> 2023-07-31 02:20:40,556 [warning] Failed to add git metadata, ignore if path is not part of a git repo.: {'path': './', 'error': '/User/pii_recognizer'}\n",
+      "> 2023-07-31 02:20:40,649 [warning] artifact/output path is not defined or is local and relative, artifacts will not be visible in the UI: {'output_path': './'}\n",
+      "> 2023-07-31 02:20:40,649 [info] Storing function: {'name': 'pii-recognizer-recognize-pii', 'uid': '2b43f80c7ca44b43b229760bb55f814d', 'db': None}\n",
+      "2023-07-31 02:20:40,812 loading file /User/.flair/models/flair-pii-distilbert/models--beki--flair-pii-distilbert/snapshots/20fb59f1762edcf253bce67716a94a43cb075ae6/pytorch_model.bin\n",
+      "2023-07-31 02:20:44,130 SequenceTagger predicts: Dictionary with 21 tags: O, S-LOC, B-LOC, E-LOC, I-LOC, S-PER, B-PER, E-PER, I-PER, S-DATE_TIME, B-DATE_TIME, E-DATE_TIME, I-DATE_TIME, S-ORG, B-ORG, E-ORG, I-ORG, S-NRP, B-NRP, E-NRP, I-NRP\n",
+      "Model loaded\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "5ad56413aad64e59b177666ca0a89a01",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Processing files:   0%|          | 0/2 [00:00<?, ?file/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<style>\n",
+       ".dictlist {\n",
+       "  background-color: #4EC64B;\n",
+       "  text-align: center;\n",
+       "  margin: 4px;\n",
+       "  border-radius: 3px; padding: 0px 3px 1px 3px; display: inline-block;}\n",
+       ".artifact {\n",
+       "  cursor: pointer;\n",
+       "  background-color: #4EC64B;\n",
+       "  text-align: left;\n",
+       "  margin: 4px; border-radius: 3px; padding: 0px 3px 1px 3px; display: inline-block;\n",
+       "}\n",
+       "div.block.hidden {\n",
+       "  display: none;\n",
+       "}\n",
+       ".clickable {\n",
+       "  cursor: pointer;\n",
+       "}\n",
+       ".ellipsis {\n",
+       "  display: inline-block;\n",
+       "  max-width: 60px;\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "}\n",
+       ".master-wrapper {\n",
+       "  display: flex;\n",
+       "  flex-flow: row nowrap;\n",
+       "  justify-content: flex-start;\n",
+       "  align-items: stretch;\n",
+       "}\n",
+       ".master-tbl {\n",
+       "  flex: 3\n",
+       "}\n",
+       ".master-wrapper > div {\n",
+       "  margin: 4px;\n",
+       "  padding: 10px;\n",
+       "}\n",
+       "iframe.fileview {\n",
+       "  border: 0 none;\n",
+       "  height: 100%;\n",
+       "  width: 100%;\n",
+       "  white-space: pre-wrap;\n",
+       "}\n",
+       ".pane-header-title {\n",
+       "  width: 80%;\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       ".pane-header {\n",
+       "  line-height: 1;\n",
+       "  background-color: #4EC64B;\n",
+       "  padding: 3px;\n",
+       "}\n",
+       ".pane-header .close {\n",
+       "  font-size: 20px;\n",
+       "  font-weight: 700;\n",
+       "  float: right;\n",
+       "  margin-top: -5px;\n",
+       "}\n",
+       ".master-wrapper .right-pane {\n",
+       "  border: 1px inset silver;\n",
+       "  width: 40%;\n",
+       "  min-height: 300px;\n",
+       "  flex: 3\n",
+       "  min-width: 500px;\n",
+       "}\n",
+       ".master-wrapper * {\n",
+       "  box-sizing: border-box;\n",
+       "}\n",
+       "</style><script>\n",
+       "function copyToClipboard(fld) {\n",
+       "    if (document.queryCommandSupported && document.queryCommandSupported('copy')) {\n",
+       "        var textarea = document.createElement('textarea');\n",
+       "        textarea.textContent = fld.innerHTML;\n",
+       "        textarea.style.position = 'fixed';\n",
+       "        document.body.appendChild(textarea);\n",
+       "        textarea.select();\n",
+       "\n",
+       "        try {\n",
+       "            return document.execCommand('copy'); // Security exception may be thrown by some browsers.\n",
+       "        } catch (ex) {\n",
+       "\n",
+       "        } finally {\n",
+       "            document.body.removeChild(textarea);\n",
+       "        }\n",
+       "    }\n",
+       "}\n",
+       "function expandPanel(el) {\n",
+       "  const panelName = \"#\" + el.getAttribute('paneName');\n",
+       "  console.log(el.title);\n",
+       "\n",
+       "  document.querySelector(panelName + \"-title\").innerHTML = el.title\n",
+       "  iframe = document.querySelector(panelName + \"-body\");\n",
+       "\n",
+       "  const tblcss = `<style> body { font-family: Arial, Helvetica, sans-serif;}\n",
+       "    #csv { margin-bottom: 15px; }\n",
+       "    #csv table { border-collapse: collapse;}\n",
+       "    #csv table td { padding: 4px 8px; border: 1px solid silver;} </style>`;\n",
+       "\n",
+       "  function csvToHtmlTable(str) {\n",
+       "    return '<div id=\"csv\"><table><tr><td>' +  str.replace(/[\\n\\r]+$/g, '').replace(/[\\n\\r]+/g, '</td></tr><tr><td>')\n",
+       "      .replace(/,/g, '</td><td>') + '</td></tr></table></div>';\n",
+       "  }\n",
+       "\n",
+       "  function reqListener () {\n",
+       "    if (el.title.endsWith(\".csv\")) {\n",
+       "      iframe.setAttribute(\"srcdoc\", tblcss + csvToHtmlTable(this.responseText));\n",
+       "    } else {\n",
+       "      iframe.setAttribute(\"srcdoc\", this.responseText);\n",
+       "    }\n",
+       "    console.log(this.responseText);\n",
+       "  }\n",
+       "\n",
+       "  const oReq = new XMLHttpRequest();\n",
+       "  oReq.addEventListener(\"load\", reqListener);\n",
+       "  oReq.open(\"GET\", el.title);\n",
+       "  oReq.send();\n",
+       "\n",
+       "\n",
+       "  //iframe.src = el.title;\n",
+       "  const resultPane = document.querySelector(panelName + \"-pane\");\n",
+       "  if (resultPane.classList.contains(\"hidden\")) {\n",
+       "    resultPane.classList.remove(\"hidden\");\n",
+       "  }\n",
+       "}\n",
+       "function closePanel(el) {\n",
+       "  const panelName = \"#\" + el.getAttribute('paneName')\n",
+       "  const resultPane = document.querySelector(panelName + \"-pane\");\n",
+       "  if (!resultPane.classList.contains(\"hidden\")) {\n",
+       "    resultPane.classList.add(\"hidden\");\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "</script>\n",
+       "<div class=\"master-wrapper\">\n",
+       "  <div class=\"block master-tbl\"><div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>project</th>\n",
+       "      <th>uid</th>\n",
+       "      <th>iter</th>\n",
+       "      <th>start</th>\n",
+       "      <th>state</th>\n",
+       "      <th>name</th>\n",
+       "      <th>labels</th>\n",
+       "      <th>inputs</th>\n",
+       "      <th>parameters</th>\n",
+       "      <th>results</th>\n",
+       "      <th>artifacts</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <td>pii</td>\n",
+       "      <td><div title=\"2b43f80c7ca44b43b229760bb55f814d\"><a href=\"https://dashboard.default-tenant.app.llm2.iguazio-cd0.com/mlprojects/pii/jobs/monitor/2b43f80c7ca44b43b229760bb55f814d/overview\" target=\"_blank\" >...b55f814d</a></div></td>\n",
+       "      <td>0</td>\n",
+       "      <td>Jul 31 02:20:40</td>\n",
+       "      <td>completed</td>\n",
+       "      <td>pii-recognizer-recognize-pii</td>\n",
+       "      <td><div class=\"dictlist\">v3io_user=pengw</div><div class=\"dictlist\">kind=</div><div class=\"dictlist\">owner=pengw</div><div class=\"dictlist\">host=jupyter-pengw-5f99fb678d-mnvxl</div></td>\n",
+       "      <td></td>\n",
+       "      <td><div class=\"dictlist\">model=whole</div><div class=\"dictlist\">input_path=./data/</div><div class=\"dictlist\">output_path=./data/output2/</div><div class=\"dictlist\">entities=['PERSON', 'EMAIL', 'PHONE', 'LOCATION', 'ORGANIZATION']</div><div class=\"dictlist\">output_suffix=output</div><div class=\"dictlist\">html_key=highlighted</div><div class=\"dictlist\">score_threshold=0.5</div><div class=\"dictlist\">entity_operator_map={'PERSON': ('keep', {}), 'EMAIL': ('mask', {'masking_char': '😀', 'chars_to_mask': 100, 'from_end': False, 'entity_type': 'EMAIL'}), 'PHONE': ('hash', {}), 'LOCATION': ('redact', {}), 'ORGANIZATION': ('replace', {'new_value': 'Company XYZ', 'entity_type': 'ORGANIZATION'})}</div></td>\n",
+       "      <td></td>\n",
+       "      <td><div class=\"artifact\" onclick=\"expandPanel(this)\" paneName=\"result0751a876\" title=\"/files/pii_recognizer/pii-recognizer-recognize-pii/0/highlighted.html\">highlighted</div><div title=\"/User/pii_recognizer/pii-recognizer-recognize-pii/0/output_path.zip\">output_path</div><div class=\"artifact\" onclick=\"expandPanel(this)\" paneName=\"result0751a876\" title=\"/files/pii_recognizer/pii-recognizer-recognize-pii/0/rpt_json.json\">rpt_json</div><div title=\"/User/pii_recognizer/pii-recognizer-recognize-pii/0/errors.npz\">errors</div></td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div></div>\n",
+       "  <div id=\"result0751a876-pane\" class=\"right-pane block hidden\">\n",
+       "    <div class=\"pane-header\">\n",
+       "      <span id=\"result0751a876-title\" class=\"pane-header-title\">Title</span>\n",
+       "      <span onclick=\"closePanel(this)\" paneName=\"result0751a876\" class=\"close clickable\">&times;</span>\n",
+       "    </div>\n",
+       "    <iframe class=\"fileview\" id=\"result0751a876-body\"></iframe>\n",
+       "  </div>\n",
+       "</div>\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<b> > to track results use the .show() or .logs() methods  or <a href=\"https://dashboard.default-tenant.app.llm2.iguazio-cd0.com/mlprojects/pii/jobs/monitor/2b43f80c7ca44b43b229760bb55f814d/overview\" target=\"_blank\">click here</a> to open in UI</b>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "> 2023-07-31 02:20:48,903 [info] Run execution finished: {'status': 'completed', 'name': 'pii-recognizer-recognize-pii'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "import mlrun\n",
+    "artifact_path = \"./\"\n",
+    "proj = mlrun.get_or_create_project(\"pii\", \"./\")\n",
+    "fn = mlrun.code_to_function(\n",
+    "    project=\"pii\",\n",
+    "    name=\"pii_recognizer\",\n",
+    "    filename=\"pii_recognizer.py\",\n",
+    "    kind=\"job\",\n",
+    "    image=\"mlrun/mlrun\",\n",
+    "    handler=\"recognize_pii\",\n",
+    "    description=\"This function is used to recognize PII in a given text\",\n",
+    ")\n",
+    "\n",
+    "entity_operator_map = {\n",
+    "        \"PERSON\": (\"keep\", {}),\n",
+    "        \"EMAIL\": (\"mask\", {\"masking_char\": \"😀\", \"chars_to_mask\" : 100, \"from_end\": False}),\n",
+    "        \"PHONE\": (\"hash\", {}),\n",
+    "        \"LOCATION\": (\"redact\", {}),\n",
+    "        \"ORGANIZATION\": (\"replace\", {\"new_value\": \"Company XYZ\"})\n",
+    "        }\n",
+    "run_obj = fn.run(\n",
+    "    artifact_path = artifact_path,\n",
+    "    params= {\n",
+    "        'model': \"whole\", \n",
+    "        'input_path': \"./data/\",\n",
+    "        'output_path': \"./data/output2/\",\n",
+    "        \"entities\": ['PERSON', \"EMAIL\", \"PHONE\", \"LOCATION\", \"ORGANIZATION\"],\n",
+    "        \"output_suffix\": \"output\",\n",
+    "        \"html_key\": \"highlighted\",\n",
+    "        \"score_threshold\" : 0.5,\n",
+    "        \"entity_operator_map\": entity_operator_map,\n",
+    "        \n",
+    "    },\n",
+    "    returns = [\"output_path: path\", \"rpt_json: file\", \"errors: file\"],\n",
+    "    local=True,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 82,
+   "id": "2583e72b-8dda-4469-8e2b-f492851015af",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "552ad96fd23e497ea6e547936c7853a0",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Processing files:   0%|          | 0/2 [00:00<?, ?file/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Dear Mr. John Doe,\n",
+      "\n",
+      "We are pleased to inform you that you have been selected as the winner of our exclusive vacation package giveaway! Congratulations! You, along with your family, will enjoy a luxurious stay at our resort in the beautiful city of Company XYZ. Your flight tickets have been booked, and you will be departing on July 15th, 2023.\n",
+      "\n",
+      "Please provide us with the necessary details to finalize your travel arrangements. We kindly request your full name, date of birth, passport number, and contact information. Rest assured that all provided information will be handled with utmost confidentiality and in compliance with data protection regulations.\n",
+      "\n",
+      "We look forward to creating unforgettable memories for you and your loved ones during your stay with us. If you have any questions or require further assistance, please don't hesitate to contact our customer support team.\n",
+      "\n",
+      "John smith's Company XYZ is 182838483, connect him with 😀😀😀😀😀😀😀😀😀😀😀😀😀😀😀😀😀😀😀😀 or 3990096a212e92850c3b3c8e57ab398252d482444a32def6b030cbac2d51efa3, he can pay you with a6983d9477e93eab115305afd124bd096699e6cb7d2ce72ec6e29a6378a4e8059393\n"
+     ]
+    }
+   ],
+   "source": [
+    "#get the mlrun context\n",
+    "context = mlrun.get_or_create_ctx('pii_ctx1')\n",
+    "import pathlib\n",
+    "from tqdm.auto import tqdm\n",
+    "for i, txt_file in enumerate(\n",
+    "        tqdm(\n",
+    "            list(pathlib.Path(\"./data/output2/\").glob(\"*.txt\")),\n",
+    "            desc=\"Processing files\",\n",
+    "            unit=\"file\",\n",
+    "        )\n",
+    "    ):\n",
+    "            # Load the str from the text file\n",
+    "        text = txt_file.read_text()\n",
+    "        print(text)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 83,
+   "id": "97516b2c-486a-4a19-8267-912f7fa3ab90",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<html><head><title>Highlighted Pii Entities</title></head><body><h1>Highlighted Pii Entities</h1><ul><li><a href='#data/letter.txt'>data/letter.txt</a></li><li><a href='#data/pii_data.txt'>data/pii_data.txt</a></li></ul><li><h2>data/letter.txt</h2><p><p><span>Dear Mr. <span style=\"display:inline-flex;flex-direction:row;align-items:center;background:#21c35466;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1\">John Doe<span style=\"border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch\"></span><span style=\"margin-left:0.5rem;font-size:0.75rem;opacity:0.5\">PERSON</span></span>,\n",
+       "\n",
+       "We are pleased to inform you that you have been selected as the winner of our exclusive vacation package giveaway! Congratulations! You, along with your family, will enjoy a luxurious stay at our resort in the beautiful city of <span style=\"display:inline-flex;flex-direction:row;align-items:center;background:#803df566;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1\">Riviera<span style=\"border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch\"></span><span style=\"margin-left:0.5rem;font-size:0.75rem;opacity:0.5\">LOCATION</span></span><span style=\"display:inline-flex;flex-direction:row;align-items:center;background:#80849566;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1\">Riviera<span style=\"border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch\"></span><span style=\"margin-left:0.5rem;font-size:0.75rem;opacity:0.5\">ORGANIZATION</span></span>. Your flight tickets have been booked, and you will be departing on July 15th, 2023.\n",
+       "\n",
+       "Please provide us with the necessary details to finalize your travel arrangements. We kindly request your full name, date of birth, passport number, and contact information. Rest assured that all provided information will be handled with utmost confidentiality and in compliance with data protection regulations.\n",
+       "\n",
+       "We look forward to creating unforgettable memories for you and your loved ones during your stay with us. If you have any questions or require further assistance, please don&#x27;t hesitate to contact our customer support team.\n",
+       "</span></p></p></li><li><h2>data/pii_data.txt</h2><p><p><span><span style=\"display:inline-flex;flex-direction:row;align-items:center;background:#21c35466;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1\">John smith&#x27;s<span style=\"border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch\"></span><span style=\"margin-left:0.5rem;font-size:0.75rem;opacity:0.5\">PERSON</span></span> <span style=\"display:inline-flex;flex-direction:row;align-items:center;background:#80849566;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1\">ssn<span style=\"border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch\"></span><span style=\"margin-left:0.5rem;font-size:0.75rem;opacity:0.5\">ORGANIZATION</span></span> is 182838483, connect him with <span style=\"display:inline-flex;flex-direction:row;align-items:center;background:#21c35466;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1\">John<span style=\"border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch\"></span><span style=\"margin-left:0.5rem;font-size:0.75rem;opacity:0.5\">PERSON</span></span><span style=\"display:inline-flex;flex-direction:row;align-items:center;background:#ff4b4b33;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1\">John_smith@gmail.com<span style=\"border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch\"></span><span style=\"margin-left:0.5rem;font-size:0.75rem;opacity:0.5\">EMAIL</span></span><span style=\"display:inline-flex;flex-direction:row;align-items:center;background:#21c35466;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1\">smith<span style=\"border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch\"></span><span style=\"margin-left:0.5rem;font-size:0.75rem;opacity:0.5\">PERSON</span></span>@gmail.com or <span style=\"display:inline-flex;flex-direction:row;align-items:center;background:#ff4b4b33;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1\">6288389029<span style=\"border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch\"></span><span style=\"margin-left:0.5rem;font-size:0.75rem;opacity:0.5\">PHONE</span></span>, he can pay you with <span style=\"display:inline-flex;flex-direction:row;align-items:center;background:#ff4b4b33;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1\">4148292993<span style=\"border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch\"></span><span style=\"margin-left:0.5rem;font-size:0.75rem;opacity:0.5\">PHONE</span></span>9393</span></p></p></li></body></html>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#check the highlighted html \n",
+    "html_output = context.get_cached_artifact(\"highlighted\")\n",
+    "html_str = mlrun.get_dataitem(html_output.get_target_path()).get().decode(\"utf-8\")\n",
+    "from IPython.core.display import display, HTML\n",
+    "display(HTML(html_str))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 84,
+   "id": "3a087fb1-dde7-4ba9-9f53-a10f9099c769",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{\n",
+      "    \"data/letter.txt\": [\n",
+      "        {\n",
+      "            \"entity_type\": \"PERSON\",\n",
+      "            \"start\": 9,\n",
+      "            \"end\": 17,\n",
+      "            \"score\": 1.0,\n",
+      "            \"analysis_explanation\": {\n",
+      "                \"recognizer\": \"FlairRecognizer\",\n",
+      "                \"pattern_name\": null,\n",
+      "                \"pattern\": null,\n",
+      "                \"original_score\": 1.0,\n",
+      "                \"score\": 1.0,\n",
+      "                \"textual_explanation\": \"Identified as PER by Flair's Named Entity Recognition\",\n",
+      "                \"score_context_improvement\": 0,\n",
+      "                \"supportive_context_word\": \"\",\n",
+      "                \"validation_result\": null\n",
+      "            },\n",
+      "            \"recognition_metadata\": {\n",
+      "                \"recognizer_identifier\": \"Flair Analytics_139944345555488\",\n",
+      "                \"recognizer_name\": \"Flair Analytics\"\n",
+      "            }\n",
+      "        },\n",
+      "        {\n",
+      "            \"entity_type\": \"LOCATION\",\n",
+      "            \"start\": 248,\n",
+      "            \"end\": 255,\n",
+      "            \"score\": 1.0,\n",
+      "            \"analysis_explanation\": {\n",
+      "                \"recognizer\": \"FlairRecognizer\",\n",
+      "                \"pattern_name\": null,\n",
+      "                \"pattern\": null,\n",
+      "                \"original_score\": 1.0,\n",
+      "                \"score\": 1.0,\n",
+      "                \"textual_explanation\": \"Identified as LOC by Flair's Named Entity Recognition\",\n",
+      "                \"score_context_improvement\": 0,\n",
+      "                \"supportive_context_word\": \"\",\n",
+      "                \"validation_result\": null\n",
+      "            },\n",
+      "            \"recognition_metadata\": {\n",
+      "                \"recognizer_identifier\": \"Flair Analytics_139944345555488\",\n",
+      "                \"recognizer_name\": \"Flair Analytics\"\n",
+      "            }\n",
+      "        },\n",
+      "        {\n",
+      "            \"entity_type\": \"ORGANIZATION\",\n",
+      "            \"start\": 248,\n",
+      "            \"end\": 255,\n",
+      "            \"score\": 1,\n",
+      "            \"analysis_explanation\": {\n",
+      "                \"recognizer\": \"CustomSpacyRecognizer\",\n",
+      "                \"pattern_name\": null,\n",
+      "                \"pattern\": null,\n",
+      "                \"original_score\": 1,\n",
+      "                \"score\": 1,\n",
+      "                \"textual_explanation\": \"Identified as ORG by Spacy's Named Entity Recognition (Privy-trained)\",\n",
+      "                \"score_context_improvement\": 0,\n",
+      "                \"supportive_context_word\": \"\",\n",
+      "                \"validation_result\": null\n",
+      "            },\n",
+      "            \"recognition_metadata\": {\n",
+      "                \"recognizer_name\": \"CustomSpacyRecognizer\",\n",
+      "                \"recognizer_identifier\": \"CustomSpacyRecognizer_139943499301312\"\n",
+      "            }\n",
+      "        }\n",
+      "    ],\n",
+      "    \"data/pii_data.txt\": [\n",
+      "        {\n",
+      "            \"entity_type\": \"PERSON\",\n",
+      "            \"start\": 0,\n",
+      "            \"end\": 12,\n",
+      "            \"score\": 1,\n",
+      "            \"analysis_explanation\": {\n",
+      "                \"recognizer\": \"CustomSpacyRecognizer\",\n",
+      "                \"pattern_name\": null,\n",
+      "                \"pattern\": null,\n",
+      "                \"original_score\": 1,\n",
+      "                \"score\": 1,\n",
+      "                \"textual_explanation\": \"Identified as PERSON by Spacy's Named Entity Recognition (Privy-trained)\",\n",
+      "                \"score_context_improvement\": 0,\n",
+      "                \"supportive_context_word\": \"\",\n",
+      "                \"validation_result\": null\n",
+      "            },\n",
+      "            \"recognition_metadata\": {\n",
+      "                \"recognizer_name\": \"CustomSpacyRecognizer\",\n",
+      "                \"recognizer_identifier\": \"CustomSpacyRecognizer_139943499301312\"\n",
+      "            }\n",
+      "        },\n",
+      "        {\n",
+      "            \"entity_type\": \"ORGANIZATION\",\n",
+      "            \"start\": 13,\n",
+      "            \"end\": 16,\n",
+      "            \"score\": 1,\n",
+      "            \"analysis_explanation\": {\n",
+      "                \"recognizer\": \"CustomSpacyRecognizer\",\n",
+      "                \"pattern_name\": null,\n",
+      "                \"pattern\": null,\n",
+      "                \"original_score\": 1,\n",
+      "                \"score\": 1,\n",
+      "                \"textual_explanation\": \"Identified as ORG by Spacy's Named Entity Recognition (Privy-trained)\",\n",
+      "                \"score_context_improvement\": 0,\n",
+      "                \"supportive_context_word\": \"\",\n",
+      "                \"validation_result\": null\n",
+      "            },\n",
+      "            \"recognition_metadata\": {\n",
+      "                \"recognizer_name\": \"CustomSpacyRecognizer\",\n",
+      "                \"recognizer_identifier\": \"CustomSpacyRecognizer_139943499301312\"\n",
+      "            }\n",
+      "        },\n",
+      "        {\n",
+      "            \"entity_type\": \"PERSON\",\n",
+      "            \"start\": 53,\n",
+      "            \"end\": 58,\n",
+      "            \"score\": 1.0,\n",
+      "            \"analysis_explanation\": {\n",
+      "                \"recognizer\": \"FlairRecognizer\",\n",
+      "                \"pattern_name\": null,\n",
+      "                \"pattern\": null,\n",
+      "                \"original_score\": 1.0,\n",
+      "                \"score\": 1.0,\n",
+      "                \"textual_explanation\": \"Identified as PER by Flair's Named Entity Recognition\",\n",
+      "                \"score_context_improvement\": 0,\n",
+      "                \"supportive_context_word\": \"\",\n",
+      "                \"validation_result\": null\n",
+      "            },\n",
+      "            \"recognition_metadata\": {\n",
+      "                \"recognizer_identifier\": \"Flair Analytics_139944345555488\",\n",
+      "                \"recognizer_name\": \"Flair Analytics\"\n",
+      "            }\n",
+      "        },\n",
+      "        {\n",
+      "            \"entity_type\": \"PERSON\",\n",
+      "            \"start\": 48,\n",
+      "            \"end\": 52,\n",
+      "            \"score\": 0.87,\n",
+      "            \"analysis_explanation\": {\n",
+      "                \"recognizer\": \"FlairRecognizer\",\n",
+      "                \"pattern_name\": null,\n",
+      "                \"pattern\": null,\n",
+      "                \"original_score\": 0.87,\n",
+      "                \"score\": 0.87,\n",
+      "                \"textual_explanation\": \"Identified as PER by Flair's Named Entity Recognition\",\n",
+      "                \"score_context_improvement\": 0,\n",
+      "                \"supportive_context_word\": \"\",\n",
+      "                \"validation_result\": null\n",
+      "            },\n",
+      "            \"recognition_metadata\": {\n",
+      "                \"recognizer_identifier\": \"Flair Analytics_139944345555488\",\n",
+      "                \"recognizer_name\": \"Flair Analytics\"\n",
+      "            }\n",
+      "        },\n",
+      "        {\n",
+      "            \"entity_type\": \"EMAIL\",\n",
+      "            \"start\": 48,\n",
+      "            \"end\": 68,\n",
+      "            \"score\": 0.5,\n",
+      "            \"analysis_explanation\": {\n",
+      "                \"recognizer\": \"PatternRecognizer\",\n",
+      "                \"pattern_name\": \"EMAIL\",\n",
+      "                \"pattern\": \"\\\\S+@\\\\S+\",\n",
+      "                \"original_score\": 0.5,\n",
+      "                \"score\": 0.5,\n",
+      "                \"textual_explanation\": null,\n",
+      "                \"score_context_improvement\": 0,\n",
+      "                \"supportive_context_word\": \"\",\n",
+      "                \"validation_result\": null\n",
+      "            },\n",
+      "            \"recognition_metadata\": {\n",
+      "                \"recognizer_name\": \"PatternRecognizer\",\n",
+      "                \"recognizer_identifier\": \"PatternRecognizer_139943864893792\"\n",
+      "            }\n",
+      "        },\n",
+      "        {\n",
+      "            \"entity_type\": \"PHONE\",\n",
+      "            \"start\": 72,\n",
+      "            \"end\": 82,\n",
+      "            \"score\": 0.5,\n",
+      "            \"analysis_explanation\": {\n",
+      "                \"recognizer\": \"PatternRecognizer\",\n",
+      "                \"pattern_name\": \"PHONE\",\n",
+      "                \"pattern\": \"\\\\(?\\\\d{3}\\\\)?[-.\\\\s]?\\\\d{3}[-.\\\\s]?\\\\d{4}\",\n",
+      "                \"original_score\": 0.5,\n",
+      "                \"score\": 0.5,\n",
+      "                \"textual_explanation\": null,\n",
+      "                \"score_context_improvement\": 0,\n",
+      "                \"supportive_context_word\": \"\",\n",
+      "                \"validation_result\": null\n",
+      "            },\n",
+      "            \"recognition_metadata\": {\n",
+      "                \"recognizer_name\": \"PatternRecognizer\",\n",
+      "                \"recognizer_identifier\": \"PatternRecognizer_139943864894128\"\n",
+      "            }\n",
+      "        },\n",
+      "        {\n",
+      "            \"entity_type\": \"PHONE\",\n",
+      "            \"start\": 104,\n",
+      "            \"end\": 114,\n",
+      "            \"score\": 0.5,\n",
+      "            \"analysis_explanation\": {\n",
+      "                \"recognizer\": \"PatternRecognizer\",\n",
+      "                \"pattern_name\": \"PHONE\",\n",
+      "                \"pattern\": \"\\\\(?\\\\d{3}\\\\)?[-.\\\\s]?\\\\d{3}[-.\\\\s]?\\\\d{4}\",\n",
+      "                \"original_score\": 0.5,\n",
+      "                \"score\": 0.5,\n",
+      "                \"textual_explanation\": null,\n",
+      "                \"score_context_improvement\": 0,\n",
+      "                \"supportive_context_word\": \"\",\n",
+      "                \"validation_result\": null\n",
+      "            },\n",
+      "            \"recognition_metadata\": {\n",
+      "                \"recognizer_name\": \"PatternRecognizer\",\n",
+      "                \"recognizer_identifier\": \"PatternRecognizer_139943864894128\"\n",
+      "            }\n",
+      "        }\n",
+      "    ]\n",
+      "}\n"
+     ]
+    }
+   ],
+   "source": [
+    "#check the json report about the explanation.\n",
+    "rpt_output1 = context.get_cached_artifact(\"rpt_json\")\n",
+    "rpt_str1 = mlrun.get_dataitem(rpt_output1.get_target_path()).get().decode(\"utf-8\")\n",
+    "import json\n",
+    "obj = json.loads(rpt_str1)\n",
+    " \n",
+    "# Pretty Print JSON\n",
+    "json_formatted_str1 = json.dumps(obj, indent=4)\n",
+    "print(json_formatted_str1)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7c058fe3-000c-4566-a11e-80283426d945",
+   "metadata": {},
+   "source": [
+    "### 3.3 Output configurations \n",
+    " - is_full_text: whether produce full text or just the sentences have PII entities in it\n",
+    " - generate_html: whether to produce the html with highlighted pii entities\n",
+    " - generate_json: whether to proudce the json report with the explaination of the process\n",
+    " - is_full_html: whether produce full text with the pii entities highlighted or just sentences with pii entities.\n",
+    " - is_full_report: whether produce the json report with detailed information or just start, end index and scores."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 85,
+   "id": "6a684769",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "> 2023-07-31 02:22:57,789 [info] Project loaded successfully: {'project_name': 'pii'}\n",
+      "> 2023-07-31 02:22:57,799 [warning] Failed to add git metadata, ignore if path is not part of a git repo.: {'path': './', 'error': '/User/pii_recognizer'}\n",
+      "> 2023-07-31 02:22:57,891 [warning] artifact/output path is not defined or is local and relative, artifacts will not be visible in the UI: {'output_path': './'}\n",
+      "> 2023-07-31 02:22:57,892 [info] Storing function: {'name': 'pii-recognizer-recognize-pii', 'uid': '3f6d701e423346b39026dc365698c15c', 'db': None}\n",
+      "2023-07-31 02:22:58,079 loading file /User/.flair/models/flair-pii-distilbert/models--beki--flair-pii-distilbert/snapshots/20fb59f1762edcf253bce67716a94a43cb075ae6/pytorch_model.bin\n",
+      "2023-07-31 02:23:01,565 SequenceTagger predicts: Dictionary with 21 tags: O, S-LOC, B-LOC, E-LOC, I-LOC, S-PER, B-PER, E-PER, I-PER, S-DATE_TIME, B-DATE_TIME, E-DATE_TIME, I-DATE_TIME, S-ORG, B-ORG, E-ORG, I-ORG, S-NRP, B-NRP, E-NRP, I-NRP\n",
+      "Model loaded\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "ad05f59e8c604629a01f797dc84ec530",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Processing files:   0%|          | 0/2 [00:00<?, ?file/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<style>\n",
+       ".dictlist {\n",
+       "  background-color: #4EC64B;\n",
+       "  text-align: center;\n",
+       "  margin: 4px;\n",
+       "  border-radius: 3px; padding: 0px 3px 1px 3px; display: inline-block;}\n",
+       ".artifact {\n",
+       "  cursor: pointer;\n",
+       "  background-color: #4EC64B;\n",
+       "  text-align: left;\n",
+       "  margin: 4px; border-radius: 3px; padding: 0px 3px 1px 3px; display: inline-block;\n",
+       "}\n",
+       "div.block.hidden {\n",
+       "  display: none;\n",
+       "}\n",
+       ".clickable {\n",
+       "  cursor: pointer;\n",
+       "}\n",
+       ".ellipsis {\n",
+       "  display: inline-block;\n",
+       "  max-width: 60px;\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "}\n",
+       ".master-wrapper {\n",
+       "  display: flex;\n",
+       "  flex-flow: row nowrap;\n",
+       "  justify-content: flex-start;\n",
+       "  align-items: stretch;\n",
+       "}\n",
+       ".master-tbl {\n",
+       "  flex: 3\n",
+       "}\n",
+       ".master-wrapper > div {\n",
+       "  margin: 4px;\n",
+       "  padding: 10px;\n",
+       "}\n",
+       "iframe.fileview {\n",
+       "  border: 0 none;\n",
+       "  height: 100%;\n",
+       "  width: 100%;\n",
+       "  white-space: pre-wrap;\n",
+       "}\n",
+       ".pane-header-title {\n",
+       "  width: 80%;\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       ".pane-header {\n",
+       "  line-height: 1;\n",
+       "  background-color: #4EC64B;\n",
+       "  padding: 3px;\n",
+       "}\n",
+       ".pane-header .close {\n",
+       "  font-size: 20px;\n",
+       "  font-weight: 700;\n",
+       "  float: right;\n",
+       "  margin-top: -5px;\n",
+       "}\n",
+       ".master-wrapper .right-pane {\n",
+       "  border: 1px inset silver;\n",
+       "  width: 40%;\n",
+       "  min-height: 300px;\n",
+       "  flex: 3\n",
+       "  min-width: 500px;\n",
+       "}\n",
+       ".master-wrapper * {\n",
+       "  box-sizing: border-box;\n",
+       "}\n",
+       "</style><script>\n",
+       "function copyToClipboard(fld) {\n",
+       "    if (document.queryCommandSupported && document.queryCommandSupported('copy')) {\n",
+       "        var textarea = document.createElement('textarea');\n",
+       "        textarea.textContent = fld.innerHTML;\n",
+       "        textarea.style.position = 'fixed';\n",
+       "        document.body.appendChild(textarea);\n",
+       "        textarea.select();\n",
+       "\n",
+       "        try {\n",
+       "            return document.execCommand('copy'); // Security exception may be thrown by some browsers.\n",
+       "        } catch (ex) {\n",
+       "\n",
+       "        } finally {\n",
+       "            document.body.removeChild(textarea);\n",
+       "        }\n",
+       "    }\n",
+       "}\n",
+       "function expandPanel(el) {\n",
+       "  const panelName = \"#\" + el.getAttribute('paneName');\n",
+       "  console.log(el.title);\n",
+       "\n",
+       "  document.querySelector(panelName + \"-title\").innerHTML = el.title\n",
+       "  iframe = document.querySelector(panelName + \"-body\");\n",
+       "\n",
+       "  const tblcss = `<style> body { font-family: Arial, Helvetica, sans-serif;}\n",
+       "    #csv { margin-bottom: 15px; }\n",
+       "    #csv table { border-collapse: collapse;}\n",
+       "    #csv table td { padding: 4px 8px; border: 1px solid silver;} </style>`;\n",
+       "\n",
+       "  function csvToHtmlTable(str) {\n",
+       "    return '<div id=\"csv\"><table><tr><td>' +  str.replace(/[\\n\\r]+$/g, '').replace(/[\\n\\r]+/g, '</td></tr><tr><td>')\n",
+       "      .replace(/,/g, '</td><td>') + '</td></tr></table></div>';\n",
+       "  }\n",
+       "\n",
+       "  function reqListener () {\n",
+       "    if (el.title.endsWith(\".csv\")) {\n",
+       "      iframe.setAttribute(\"srcdoc\", tblcss + csvToHtmlTable(this.responseText));\n",
+       "    } else {\n",
+       "      iframe.setAttribute(\"srcdoc\", this.responseText);\n",
+       "    }\n",
+       "    console.log(this.responseText);\n",
+       "  }\n",
+       "\n",
+       "  const oReq = new XMLHttpRequest();\n",
+       "  oReq.addEventListener(\"load\", reqListener);\n",
+       "  oReq.open(\"GET\", el.title);\n",
+       "  oReq.send();\n",
+       "\n",
+       "\n",
+       "  //iframe.src = el.title;\n",
+       "  const resultPane = document.querySelector(panelName + \"-pane\");\n",
+       "  if (resultPane.classList.contains(\"hidden\")) {\n",
+       "    resultPane.classList.remove(\"hidden\");\n",
+       "  }\n",
+       "}\n",
+       "function closePanel(el) {\n",
+       "  const panelName = \"#\" + el.getAttribute('paneName')\n",
+       "  const resultPane = document.querySelector(panelName + \"-pane\");\n",
+       "  if (!resultPane.classList.contains(\"hidden\")) {\n",
+       "    resultPane.classList.add(\"hidden\");\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "</script>\n",
+       "<div class=\"master-wrapper\">\n",
+       "  <div class=\"block master-tbl\"><div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>project</th>\n",
+       "      <th>uid</th>\n",
+       "      <th>iter</th>\n",
+       "      <th>start</th>\n",
+       "      <th>state</th>\n",
+       "      <th>name</th>\n",
+       "      <th>labels</th>\n",
+       "      <th>inputs</th>\n",
+       "      <th>parameters</th>\n",
+       "      <th>results</th>\n",
+       "      <th>artifacts</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <td>pii</td>\n",
+       "      <td><div title=\"3f6d701e423346b39026dc365698c15c\"><a href=\"https://dashboard.default-tenant.app.llm2.iguazio-cd0.com/mlprojects/pii/jobs/monitor/3f6d701e423346b39026dc365698c15c/overview\" target=\"_blank\" >...5698c15c</a></div></td>\n",
+       "      <td>0</td>\n",
+       "      <td>Jul 31 02:22:57</td>\n",
+       "      <td>completed</td>\n",
+       "      <td>pii-recognizer-recognize-pii</td>\n",
+       "      <td><div class=\"dictlist\">v3io_user=pengw</div><div class=\"dictlist\">kind=</div><div class=\"dictlist\">owner=pengw</div><div class=\"dictlist\">host=jupyter-pengw-5f99fb678d-mnvxl</div></td>\n",
+       "      <td></td>\n",
+       "      <td><div class=\"dictlist\">model=whole</div><div class=\"dictlist\">input_path=./data/</div><div class=\"dictlist\">output_path=./data/output3/</div><div class=\"dictlist\">entities=['PERSON', 'EMAIL', 'PHONE', 'LOCATION', 'ORGANIZATION']</div><div class=\"dictlist\">output_suffix=output</div><div class=\"dictlist\">html_key=highlighted</div><div class=\"dictlist\">score_threshold=0.5</div><div class=\"dictlist\">entity_operator_map={'PERSON': ('keep', {}), 'EMAIL': ('mask', {'masking_char': '😀', 'chars_to_mask': 100, 'from_end': False, 'entity_type': 'EMAIL'}), 'PHONE': ('hash', {}), 'LOCATION': ('redact', {}), 'ORGANIZATION': ('replace', {'new_value': 'Company XYZ', 'entity_type': 'ORGANIZATION'})}</div><div class=\"dictlist\">is_full_text=False</div><div class=\"dictlist\">is_full_html=False</div><div class=\"dictlist\">is_full_report=False</div></td>\n",
+       "      <td></td>\n",
+       "      <td><div class=\"artifact\" onclick=\"expandPanel(this)\" paneName=\"result1d30d4ed\" title=\"/files/pii_recognizer/pii-recognizer-recognize-pii/0/highlighted.html\">highlighted</div><div title=\"/User/pii_recognizer/pii-recognizer-recognize-pii/0/output_path.zip\">output_path</div><div class=\"artifact\" onclick=\"expandPanel(this)\" paneName=\"result1d30d4ed\" title=\"/files/pii_recognizer/pii-recognizer-recognize-pii/0/rpt_json.json\">rpt_json</div><div title=\"/User/pii_recognizer/pii-recognizer-recognize-pii/0/errors.npz\">errors</div></td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div></div>\n",
+       "  <div id=\"result1d30d4ed-pane\" class=\"right-pane block hidden\">\n",
+       "    <div class=\"pane-header\">\n",
+       "      <span id=\"result1d30d4ed-title\" class=\"pane-header-title\">Title</span>\n",
+       "      <span onclick=\"closePanel(this)\" paneName=\"result1d30d4ed\" class=\"close clickable\">&times;</span>\n",
+       "    </div>\n",
+       "    <iframe class=\"fileview\" id=\"result1d30d4ed-body\"></iframe>\n",
+       "  </div>\n",
+       "</div>\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<b> > to track results use the .show() or .logs() methods  or <a href=\"https://dashboard.default-tenant.app.llm2.iguazio-cd0.com/mlprojects/pii/jobs/monitor/3f6d701e423346b39026dc365698c15c/overview\" target=\"_blank\">click here</a> to open in UI</b>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "> 2023-07-31 02:23:06,096 [info] Run execution finished: {'status': 'completed', 'name': 'pii-recognizer-recognize-pii'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "import mlrun\n",
+    "artifact_path = \"./\"\n",
+    "proj = mlrun.get_or_create_project(\"pii\", \"./\")\n",
+    "fn = mlrun.code_to_function(\n",
+    "    project=\"pii\",\n",
+    "    name=\"pii_recognizer\",\n",
+    "    filename=\"pii_recognizer.py\",\n",
+    "    kind=\"job\",\n",
+    "    image=\"mlrun/mlrun\",\n",
+    "    handler=\"recognize_pii\",\n",
+    "    description=\"This function is used to recognize PII in a given text\",\n",
+    ")\n",
+    "\n",
+    "entity_operator_map = {\n",
+    "        \"PERSON\": (\"keep\", {}),\n",
+    "        \"EMAIL\": (\"mask\", {\"masking_char\": \"😀\", \"chars_to_mask\" : 100, \"from_end\": False}),\n",
+    "        \"PHONE\": (\"hash\", {}),\n",
+    "        \"LOCATION\": (\"redact\", {}),\n",
+    "        \"ORGANIZATION\": (\"replace\", {\"new_value\": \"Company XYZ\"})\n",
+    "        }\n",
+    "run_obj = fn.run(\n",
+    "    artifact_path = artifact_path,\n",
+    "    params= {\n",
+    "        'model': \"whole\", \n",
+    "        'input_path': \"./data/\",\n",
+    "        'output_path': \"./data/output3/\",\n",
+    "        \"entities\": ['PERSON', \"EMAIL\", \"PHONE\", \"LOCATION\", \"ORGANIZATION\"],\n",
+    "        \"output_suffix\": \"output\",\n",
+    "        \"html_key\": \"highlighted\",\n",
+    "        \"score_threshold\" : 0.5,\n",
+    "        \"entity_operator_map\": entity_operator_map,\n",
+    "        \"is_full_text\": False,\n",
+    "        \"is_full_html\": False,\n",
+    "        \"is_full_report\": False,\n",
+    "    },\n",
+    "    returns = [\"output_path: path\", \"rpt_json: file\", \"errors: file\"],\n",
+    "    local=True,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 86,
+   "id": "0e10d8fa",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#get the mlrun context\n",
+    "context = mlrun.get_or_create_ctx('pii_ctx')\n",
+    "import pathlib\n",
+    "from tqdm.auto import tqdm"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 87,
+   "id": "fb303fef",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "f478b2a3792e42beabad632b9523e169",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Processing files:   0%|          | 0/2 [00:00<?, ?file/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Dear Mr. John Doe,\n",
+      "\n",
+      "We are pleased to inform you that you have been selected as the winner of our exclusive vacation package giveaway!\n",
+      "John smith's Company XYZ is 182838483, connect him with 😀😀😀😀😀😀😀😀😀😀😀😀😀😀😀😀😀😀😀😀 or 3990096a212e92850c3b3c8e57ab398252d482444a32def6b030cbac2d51efa3, he can pay you with a6983d9477e93eab115305afd124bd096699e6cb7d2ce72ec6e29a6378a4e8059393\n"
+     ]
+    }
+   ],
+   "source": [
+    "for i, txt_file in enumerate(\n",
+    "        tqdm(\n",
+    "            list(pathlib.Path(\"./data/output3/\").glob(\"*.txt\")),\n",
+    "            desc=\"Processing files\",\n",
+    "            unit=\"file\",\n",
+    "        )\n",
+    "    ):\n",
+    "            # Load the str from the text file\n",
+    "        text = txt_file.read_text()\n",
+    "        print(text)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 88,
+   "id": "c0994935-5114-43ef-bb8b-76fa40976dba",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<html><head><title>Highlighted Pii Entities</title></head><body><h1>Highlighted Pii Entities</h1><ul><li><a href='#data/letter.txt'>data/letter.txt</a></li><li><a href='#data/pii_data.txt'>data/pii_data.txt</a></li></ul><li><h2>data/letter.txt</h2><p><p><span><span>Dear Mr. <span style=\"display:inline-flex;flex-direction:row;align-items:center;background:#21c35466;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1\">John Doe<span style=\"border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch\"></span><span style=\"margin-left:0.5rem;font-size:0.75rem;opacity:0.5\">PERSON</span></span></span><span>,\n",
+       "\n",
+       "We are pleased to inform you that you have been selected as the winner of our exclusive vacation package giveaway! Congratulations! You, along with your family, will enjoy a luxurious stay at our resort in the beautiful city of <span style=\"display:inline-flex;flex-direction:row;align-items:center;background:#803df566;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1\">Riviera<span style=\"border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch\"></span><span style=\"margin-left:0.5rem;font-size:0.75rem;opacity:0.5\">LOCATION</span></span><span style=\"display:inline-flex;flex-direction:row;align-items:center;background:#80849566;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1\">Riviera<span style=\"border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch\"></span><span style=\"margin-left:0.5rem;font-size:0.75rem;opacity:0.5\">ORGANIZATION</span></span></span></span></p></p></li><li><h2>data/pii_data.txt</h2><p><p><span><span><span style=\"display:inline-flex;flex-direction:row;align-items:center;background:#21c35466;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1\">John smith&#x27;s<span style=\"border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch\"></span><span style=\"margin-left:0.5rem;font-size:0.75rem;opacity:0.5\">PERSON</span></span> <span style=\"display:inline-flex;flex-direction:row;align-items:center;background:#80849566;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1\">ssn<span style=\"border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch\"></span><span style=\"margin-left:0.5rem;font-size:0.75rem;opacity:0.5\">ORGANIZATION</span></span> is 182838483, connect him with <span style=\"display:inline-flex;flex-direction:row;align-items:center;background:#21c35466;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1\">John<span style=\"border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch\"></span><span style=\"margin-left:0.5rem;font-size:0.75rem;opacity:0.5\">PERSON</span></span><span style=\"display:inline-flex;flex-direction:row;align-items:center;background:#ff4b4b33;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1\">John_smith@gmail.com<span style=\"border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch\"></span><span style=\"margin-left:0.5rem;font-size:0.75rem;opacity:0.5\">EMAIL</span></span><span style=\"display:inline-flex;flex-direction:row;align-items:center;background:#21c35466;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1\">smith<span style=\"border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch\"></span><span style=\"margin-left:0.5rem;font-size:0.75rem;opacity:0.5\">PERSON</span></span></span></span></p></p></li></body></html>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#check the highlighted html \n",
+    "html_output = context.get_cached_artifact(\"highlighted\")\n",
+    "html_str = mlrun.get_dataitem(html_output.get_target_path()).get().decode(\"utf-8\")\n",
+    "from IPython.core.display import display, HTML\n",
+    "display(HTML(html_str))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 89,
+   "id": "26f9e706",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{\n",
+      "    \"data/letter.txt\": [\n",
+      "        {\n",
+      "            \"entity_type\": \"PERSON\",\n",
+      "            \"start\": 9,\n",
+      "            \"end\": 17,\n",
+      "            \"score\": 1\n",
+      "        },\n",
+      "        {\n",
+      "            \"entity_type\": \"LOCATION\",\n",
+      "            \"start\": 248,\n",
+      "            \"end\": 255,\n",
+      "            \"score\": 1.0\n",
+      "        },\n",
+      "        {\n",
+      "            \"entity_type\": \"ORGANIZATION\",\n",
+      "            \"start\": 248,\n",
+      "            \"end\": 255,\n",
+      "            \"score\": 1\n",
+      "        }\n",
+      "    ],\n",
+      "    \"data/pii_data.txt\": [\n",
+      "        {\n",
+      "            \"entity_type\": \"PERSON\",\n",
+      "            \"start\": 0,\n",
+      "            \"end\": 12,\n",
+      "            \"score\": 1\n",
+      "        },\n",
+      "        {\n",
+      "            \"entity_type\": \"ORGANIZATION\",\n",
+      "            \"start\": 13,\n",
+      "            \"end\": 16,\n",
+      "            \"score\": 1\n",
+      "        },\n",
+      "        {\n",
+      "            \"entity_type\": \"PERSON\",\n",
+      "            \"start\": 53,\n",
+      "            \"end\": 58,\n",
+      "            \"score\": 1.0\n",
+      "        },\n",
+      "        {\n",
+      "            \"entity_type\": \"PERSON\",\n",
+      "            \"start\": 48,\n",
+      "            \"end\": 52,\n",
+      "            \"score\": 0.87\n",
+      "        },\n",
+      "        {\n",
+      "            \"entity_type\": \"EMAIL\",\n",
+      "            \"start\": 48,\n",
+      "            \"end\": 68,\n",
+      "            \"score\": 0.5\n",
+      "        },\n",
+      "        {\n",
+      "            \"entity_type\": \"PHONE\",\n",
+      "            \"start\": 72,\n",
+      "            \"end\": 82,\n",
+      "            \"score\": 0.5\n",
+      "        },\n",
+      "        {\n",
+      "            \"entity_type\": \"PHONE\",\n",
+      "            \"start\": 104,\n",
+      "            \"end\": 114,\n",
+      "            \"score\": 0.5\n",
+      "        }\n",
+      "    ]\n",
+      "}\n"
+     ]
+    }
+   ],
+   "source": [
+    "#check the json report about the explanation.\n",
+    "rpt_output = context.get_cached_artifact(\"rpt_json\")\n",
+    "rpt_str = mlrun.get_dataitem(rpt_output.get_target_path()).get().decode(\"utf-8\")\n",
+    "import json\n",
+    "obj = json.loads(rpt_str)\n",
+    " \n",
+    "# Pretty Print JSON\n",
+    "json_formatted_str = json.dumps(obj, indent=4)\n",
+    "print(json_formatted_str)\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "pii",
+   "language": "python",
+   "name": "conda-env-.conda-pii-py"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.16"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/functions/master/pii_recognizer/0.3.0/src/pii_recognizer.py b/functions/master/pii_recognizer/0.3.0/src/pii_recognizer.py
new file mode 100644
index 00000000..0acc55dc
--- /dev/null
+++ b/functions/master/pii_recognizer/0.3.0/src/pii_recognizer.py
@@ -0,0 +1,951 @@
+# Copyright 2023 Iguazio
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import logging
+import os
+import pathlib
+import tempfile
+import warnings
+from typing import List, Set, Tuple, Union
+
+import annotated_text.util as at_util
+import mlrun
+import nltk
+import pandas as pd
+import presidio_analyzer as pa
+import presidio_anonymizer as pre_anoymizer
+from presidio_anonymizer.entities import OperatorConfig
+from tqdm import tqdm
+
+try:
+    import flair as fl
+except ModuleNotFoundError:
+    print("Flair is not installed")
+
+# There is a conflict between Rust-based tokenizers' parallel processing
+# and Python's fork operations during multiprocessing. To avoid this, we need
+# the following two lines
+
+os.environ["TOKENIZERS_PARALLELISM"] = "false"
+warnings.filterwarnings("ignore")
+
+logger = logging.getLogger("pii-recognizer")
+
+
+# Add the constant classes of Models and Entities to govern the whole package
+class Models:
+    WHOLE = "whole"
+    PATTERN = "pattern"
+    SPACY = "spacy"
+    FLAIR = "flair"
+
+
+class Entities:
+    CREDIT_CARD = "CREDIT_CARD"
+    SSN = "SSN"
+    PHONE = "PHONE"
+    EMAIL = "EMAIL"
+    LOCATION = "LOCATION"
+    PERSON = "PERSON"
+    NRP = "NRP"
+    ORGANIZATION = "ORGANIZATION"
+    DATE_TIME = "DATE_TIME"
+    GPE = ("GPE",)
+    MAC_ADDRESS = "MAC_ADDRESS"
+    US_BANK_NUMBER = "US_BANK_NUMBER"
+    IMEI = "IMEI"
+    TITLE = "TITLE"
+    LICENSE_PLATE = "LICENSE_PLATE"
+    US_PASSPORT = "US_PASSPORT"
+    CURRENCY = "CURRENCY"
+    ROUTING_NUMBER = "ROUTING_NUMBER"
+    US_ITIN = "US_ITIN"
+    US_BANK_NUMBER = "US_BANK_NUMBER"
+    US_DRIVER_LICENSE = "US_DRIVER_LICENSE"
+    AGE = "AGE"
+    PASSWORD = "PASSWORD"
+    SWIFT_CODE = "SWIFT_CODE"
+
+
+class PatternRecognizerFactory:
+    """
+    Factory for creating pattern recognizers, it can be extended in the future to
+    add more regex pattern for different entities. For the pattern recognizer to work,
+    we need construct a list of regex patterns for each entity.
+    """
+
+    RECOGNIZABLE_ENTITIES = {
+        "CREDIT_CARD": [pa.Pattern("CREDIT_CARD", r"\b(?:\d[ -]*?){13,16}\b", 0.5)],
+        "SSN": [pa.Pattern("SSN", r"\b\d{3}-?\d{2}-?\d{4}\b", 0.5)],
+        "PHONE": [pa.Pattern("PHONE", r"\(?\d{3}\)?[-.\s]?\d{3}[-.\s]?\d{4}", 0.5)],
+        "EMAIL": [pa.Pattern("EMAIL", r"\S+@\S+", 0.5)],
+    }
+
+    # create a list of pattern recognizers
+    @classmethod
+    def _create_pattern_recognizer(cls):
+        """
+        For each entity, create a list of patterns to recognize it
+
+        :param cls: PatternRecognizerFactory class
+
+        :returns: List of pattern recognizers
+        """
+
+        # Entities to recognize and their regex patterns
+
+        return [
+            pa.PatternRecognizer(supported_entity=entity, patterns=pattern)
+            for entity, pattern in cls.RECOGNIZABLE_ENTITIES.items()
+        ]
+
+
+class CustomSpacyRecognizer(pa.LocalRecognizer):
+    """
+    Custom Spacy Recognizer from Presidio Analyzer trained on Privy data.
+    The privy data is generated using this https://github.com/pixie-io/pixie/tree/main/src/datagen/pii/privy
+    It can be used to recognize custom entities, Since we want to use Presidio's Registries to generate AnalyzerEngine,
+    it inherits from Presidio Analyzer's LocalRecognizer class.
+    """
+
+    # Entities to recognize
+
+    RECOGNIZABLE_ENTITIES = {
+        "LOCATION",
+        "PERSON",
+        "NRP",
+        "ORGANIZATION",
+        "DATE_TIME",
+    }
+
+    # Default explanation for this recognizer
+
+    _DEFAULT_EXPLANATION = (
+        "Identified as {} by Spacy's Named Entity Recognition (Privy-trained)"
+    )
+
+    # Label groups to check
+
+    _DEFAULT_CHECK_LABEL_GROUPS = [
+        ({"LOCATION"}, {"LOC", "LOCATION", "STREET_ADDRESS", "COORDINATE"}),
+        ({"PERSON"}, {"PER", "PERSON"}),
+        ({"NRP"}, {"NORP", "NRP"}),
+        ({"ORGANIZATION"}, {"ORG"}),
+        ({"DATE_TIME"}, {"DATE_TIME"}),
+    ]
+
+    # pretrained model for this recognizer
+
+    _DEFAULT_MODEL_LANGUAGES = {
+        "en": "beki/en_spacy_pii_distilbert",
+    }
+
+    _DEFAULT_PRESIDIO_EQUIVALENCES = {
+        "PER": "PERSON",
+        "LOC": "LOCATION",
+        "ORG": "ORGANIZATION",
+        "NROP": "NRP",
+        "DATE_TIME": "DATE_TIME",
+    }
+
+    def __init__(
+        self,
+        supported_language: str = "en",
+        supported_entities: List[str] = None,
+        check_label_groups: Tuple[Set, Set] = None,
+        context: List[str] = None,
+        ner_strength: float = 1,
+    ):
+        """
+        Initialize Spacy Recognizer.
+
+        :param supported_language: Language to use, default is English
+        :param supported_entities: Entities to use for recognition
+        :param check_label_groups: Label groups to check for the entities
+        :param context:            Context to use if any
+        :param ner_strength:       Default confidence for NER prediction
+
+        :returns: SpacyRecognizer object
+        """
+
+        # Default confidence for NER prediction
+        self.ner_strength = ner_strength
+
+        self.check_label_groups = check_label_groups or self._DEFAULT_CHECK_LABEL_GROUPS
+        supported_entities = supported_entities or self.RECOGNIZABLE_ENTITIES
+        super().__init__(
+            supported_entities=supported_entities,
+            supported_language=supported_language,
+        )
+
+    # get the presidio explanation for the result
+
+    def _build_spacy_explanation(
+        self, original_score: float, explanation: str
+    ) -> pa.AnalysisExplanation:
+        """
+        Create explanation for why this result was detected.
+
+        :param original_score: Score given by this recognizer
+        :param explanation:    Explanation string
+
+        :returns: Presidio AnalysisExplanation object
+        """
+        explanation = pa.AnalysisExplanation(
+            recognizer=self.__class__.__name__,
+            original_score=original_score,
+            textual_explanation=explanation,
+        )
+        return explanation
+
+    # main method for the recognizer
+    def analyze(self, text: str, entities: List[str], nlp_artifacts=None):  # noqa D102
+        """
+        Analyze text using Spacy.
+
+        :param text:          Text to analyze
+        :param entities:      Entities to analyze
+        :param nlp_artifacts: NLP artifacts to use
+
+        :returns: List of Presidio RecognizerResult objects
+        """
+        results = []
+        if not nlp_artifacts:
+            logger.warning("Skipping SpaCy, nlp artifacts not provided...")
+            return results
+
+        ner_entities = nlp_artifacts.entities
+
+        # recognize the supported entities
+        for entity in entities:
+            if entity not in self.supported_entities:
+                continue
+            for ent in ner_entities:
+                if not self.__check_label(entity, ent.label_, self.check_label_groups):
+                    continue
+
+                # string of the explanation saying the entity is recognized by spacy
+                textual_explanation = self._DEFAULT_EXPLANATION.format(ent.label_)
+                explanation = self._build_spacy_explanation(
+                    self.ner_strength, textual_explanation
+                )
+
+                # create the standard result with the entity, start, end, score, and explanation
+                spacy_result = pa.RecognizerResult(
+                    entity_type=entity,
+                    start=ent.start_char,
+                    end=ent.end_char,
+                    score=self.ner_strength,
+                    analysis_explanation=explanation,
+                    recognition_metadata={
+                        pa.RecognizerResult.RECOGNIZER_NAME_KEY: self.name
+                    },
+                )
+                results.append(spacy_result)
+
+        return results
+
+    @staticmethod
+    def __check_label(
+        entity: str, label: str, check_label_groups: Tuple[Set, Set]
+    ) -> bool:
+        """
+        Check if the label is in the label group.
+
+        :param entity:             Entity to check
+        :param label:              Label to check
+        :param check_label_groups: Label groups to check
+
+        :returns: True if the label is in the label group, False otherwise
+        """
+        return any(
+            entity in egrp and label in lgrp for egrp, lgrp in check_label_groups
+        )
+
+
+# Class to use Flair with Presidio as an external recognizer.
+class FlairRecognizer(pa.EntityRecognizer):
+    """
+    Wrapper for a flair model, if needed to be used within Presidio Analyzer.
+    This is to make sure the recognizer can be registered with Presidio registry.
+    """
+
+    RECOGNIZABLE_ENTITIES = {
+        "LOCATION",
+        "PERSON",
+        "NRP",
+        "GPE",
+        "ORGANIZATION",
+        "MAC_ADDRESS",
+        "US_BANK_NUMBER",
+        "IMEI",
+        "TITLE",
+        "LICENSE_PLATE",
+        "US_PASSPORT",
+        "CURRENCY",
+        "ROUTING_NUMBER",
+        "US_ITIN",
+        "US_BANK_NUMBER",
+        "US_DRIVER_LICENSE",
+        "AGE",
+        "PASSWORD",
+        "SWIFT_CODE",
+    }
+
+    # This is used to construct the explanation for the result
+
+    _DEFAULT_EXPLANATION = "Identified as {} by Flair's Named Entity Recognition"
+
+    _DEFAULT_CHECK_LABEL_GROUPS = [
+        ({"LOCATION"}, {"LOC", "LOCATION", "STREET_ADDRESS", "COORDINATE"}),
+        ({"PERSON"}, {"PER", "PERSON"}),
+        ({"NRP"}, {"NORP", "NRP"}),
+        ({"GPE"}, {"GPE"}),
+        ({"ORGANIZATION"}, {"ORG"}),
+        ({"MAC_ADDRESS"}, {"MAC_ADDRESS"}),
+        ({"US_BANK_NUMBER"}, {"US_BANK_NUMBER"}),
+        ({"IMEI"}, {"IMEI"}),
+        ({"TITLE"}, {"TITLE"}),
+        ({"LICENSE_PLATE"}, {"LICENSE_PLATE"}),
+        ({"US_PASSPORT"}, {"US_PASSPORT"}),
+        ({"CURRENCY"}, {"CURRENCY"}),
+        ({"ROUTING_NUMBER"}, {"ROUTING_NUMBER"}),
+        ({"AGE"}, {"AGE"}),
+        ({"CURRENCY"}, {"CURRENCY"}),
+        ({"SWIFT_CODE"}, {"SWIFT_CODE"}),
+        ({"US_ITIN"}, {"US_ITIN"}),
+        ({"US_BANK_NUMBER"}, {"US_BANK_NUMBER"}),
+        ({"US_DRIVER_LICENSE"}, {"US_DRIVER_LICENSE"}),
+    ]
+
+    _DEFAULT_MODEL_LANGUAGES = {
+        "en": "beki/flair-pii-distilbert",
+    }
+
+    _DEFAULT_PRESIDIO_EQUIVALENCES = {
+        "PER": "PERSON",
+        "LOC": "LOCATION",
+        "ORG": "ORGANIZATION",
+        "NROP": "NRP",
+        "URL": "URL",
+        "US_ITIN": "US_ITIN",
+        "US_PASSPORT": "US_PASSPORT",
+        "IBAN_CODE": "IBAN_CODE",
+        "IP_ADDRESS": "IP_ADDRESS",
+        "EMAIL_ADDRESS": "EMAIL",
+        "US_DRIVER_LICENSE": "US_DRIVER_LICENSE",
+        "US_BANK_NUMBER": "US_BANK_NUMBER",
+    }
+
+    def __init__(
+        self,
+        supported_language: str = "en",
+        supported_entities: List[str] = None,
+        check_label_groups: Tuple[Set, Set] = None,
+    ):
+        """
+        Initialize the FlairRecognizer.
+
+        :param supported_language: Language to use
+        :param supported_entities: Entities to use
+        :param check_label_groups: Label groups to check
+
+        :returns: FlairRecognizer object
+
+        """
+        self.check_label_groups = check_label_groups or self._DEFAULT_CHECK_LABEL_GROUPS
+
+        supported_entities = supported_entities or self.RECOGNIZABLE_ENTITIES
+        self.model = fl.models.SequenceTagger.load(
+            self._DEFAULT_MODEL_LANGUAGES.get(supported_language)
+        )
+
+        super().__init__(
+            supported_entities=supported_entities,
+            supported_language=supported_language,
+            name="Flair Analytics",
+        )
+
+    # main method for the recognizer
+    def analyze(
+        self,
+        text: str,
+        entities: List[str],
+        nlp_artifacts: pa.nlp_engine.NlpArtifacts = None,
+    ) -> List[pa.RecognizerResult]:
+        """
+        Analyze text and return the results.
+
+        :param text:          The text for analysis.
+        :param entities:      The list of entities to recognize.
+        :param nlp_artifacts: Not used by this recognizer but needed for the interface.
+
+        :returns: The list of Presidio RecognizerResult constructed from the recognized Flair detections.
+        """
+
+        results = []
+
+        sentences = fl.data.Sentence(text)
+        self.model.predict(sentences)
+
+        # If there are no specific list of entities, we will look for all of it.
+        if not entities:
+            entities = self.supported_entities
+
+        # Go over the entities and check if they are in the supported entities list.
+        for entity in entities:
+            if entity not in self.supported_entities:
+                continue
+
+            # Go over the sentences and check if the entity is in the sentence.
+            for ent in sentences.get_spans("ner"):
+                if not self.__check_label(
+                    entity, ent.labels[0].value, self.check_label_groups
+                ):
+                    continue
+
+                # If the entity is in the sentence, we will add it to the results.
+                textual_explanation = self._DEFAULT_EXPLANATION.format(
+                    ent.labels[0].value
+                )
+
+                # Build the explanation for the result
+                explanation = self._build_flair_explanation(
+                    round(ent.score, 2), textual_explanation
+                )
+
+                flair_result = self._convert_to_recognizer_result(ent, explanation)
+
+                results.append(flair_result)
+
+        return results
+
+    def _convert_to_recognizer_result(
+        self, entity: fl.data.Span, explanation: str
+    ) -> pa.RecognizerResult:
+        """
+        Convert Flair result to Presidio RecognizerResult.
+
+        :param entity:      Flair entity of Span
+        :param explanation: Presidio AnalysisExplanation
+
+        :returns: Presidio RecognizerResult
+        """
+
+        # Convert the entity type to Presidio entity type
+        entity_type = self._DEFAULT_PRESIDIO_EQUIVALENCES.get(entity.tag, entity.tag)
+
+        # Convert the score to Presidio score
+        flair_score = round(entity.score, 2)
+
+        # Create the Presidio RecognizerResult from the Flair entity
+        flair_results = pa.RecognizerResult(
+            entity_type=entity_type,
+            start=entity.start_position,
+            end=entity.end_position,
+            score=flair_score,
+            analysis_explanation=explanation,
+        )
+
+        return flair_results
+
+    def _build_flair_explanation(
+        self, original_score: float, explanation: str
+    ) -> pa.AnalysisExplanation:
+        """
+        Create explanation for why this result was detected.
+
+        :param original_score: Score given by this recognizer
+        :param explanation:    Explanation string
+
+        :returns: Presidio AnalysisExplanation
+        """
+
+        # Create the Presidio AnalysisExplanation for the result
+        explanation = pa.AnalysisExplanation(
+            recognizer=self.__class__.__name__,
+            original_score=original_score,
+            textual_explanation=explanation,
+        )
+        return explanation
+
+    # sanity check of the entity and label before recognition
+    @staticmethod
+    def __check_label(
+        entity: str, label: str, check_label_groups: Tuple[Set, Set]
+    ) -> bool:
+        return any(
+            entity in egrp and label in lgrp for egrp, lgrp in check_label_groups
+        )
+
+
+# get the analyzer engine based on the model
+def _get_analyzer_engine(
+    model: str = None, entities: List[str] = None
+) -> pa.AnalyzerEngine:
+    """
+    Return pa.AnalyzerEngine.
+
+    :param model: The model to use. Can be "spacy", "flair", "pattern" or "whole".
+    :param entities: The list of entities to use.
+
+    :returns: pa.AnalyzerEngine
+    """
+    # recognizer registry that can store multiple recognizers
+    registry = pa.RecognizerRegistry()
+    if model == Models.SPACY:
+        # custom spacy recognizer
+        spacy_recognizer = CustomSpacyRecognizer()
+        # add the custom build spacy recognizer
+        registry.add_recognizer(spacy_recognizer)
+    elif model == Models.FLAIR:
+        # pre-trained flair recognizer
+        flair_recognizer = FlairRecognizer()
+        # add the custom build flair recognizer
+        registry.add_recognizer(flair_recognizer)
+    elif model == Models.PATTERN:
+        # add the pattern recognizer
+        pattern_recognizer_factory = PatternRecognizerFactory()
+        for recognizer in pattern_recognizer_factory._create_pattern_recognizer():
+            registry.add_recognizer(recognizer)
+    elif model == Models.WHOLE:
+        spacy_recognizer = CustomSpacyRecognizer()
+        flair_recognizer = FlairRecognizer()
+        registry.add_recognizer(spacy_recognizer)
+        registry.add_recognizer(flair_recognizer)
+        # add the pattern recognizer
+        pattern_recognizer_factory = PatternRecognizerFactory()
+        for recognizer in pattern_recognizer_factory._create_pattern_recognizer():
+            registry.add_recognizer(recognizer)
+    elif not model and entities:
+        if set(entities) & CustomSpacyRecognizer.RECOGNIZABLE_ENTITIES:
+            spacy_recognizer = CustomSpacyRecognizer()
+            registry.add_recognizer(spacy_recognizer)
+        if set(entities) & FlairRecognizer.RECOGNIZABLE_ENTITIES:
+            flair_recognizer = FlairRecognizer()
+            registry.add_recognizer(flair_recognizer)
+        # add the pattern recognizer
+        if set(entities) & (set(PatternRecognizerFactory.RECOGNIZABLE_ENTITIES.keys())):
+            pattern_recognizer_factory = PatternRecognizerFactory()
+            for recognizer in pattern_recognizer_factory._create_pattern_recognizer():
+                registry.add_recognizer(recognizer)
+    else:
+        raise ValueError(
+            f"argument of model and entities can not be None at the same time"
+        )
+    analyzer = pa.AnalyzerEngine(
+        registry=registry,
+        supported_languages=["en"],
+    )
+
+    supported_entities = analyzer.get_supported_entities()
+
+    if entities and not all(item in supported_entities for item in entities):
+        not_supported_entities = [
+            item for item in entities if item not in supported_entities
+        ]
+        raise ValueError(
+            f"The current model {model} doesn't support the following entities: {not_supported_entities}. "
+            f"Supported entities are: {supported_entities}"
+        )
+    return analyzer
+
+
+def _get_anonymizer_engine() -> pre_anoymizer.AnonymizerEngine:
+    """
+    Return AnonymizerEngine.
+
+    :returns: The AnonymizerEngine.
+    """
+    return pre_anoymizer.AnonymizerEngine()
+
+
+def _anonymize(
+    text: str,
+    analyze_results: List[pa.RecognizerResult],
+    entity_operator_map: dict = None,
+    is_full_text: bool = True,
+) -> str:
+    """
+    Anonymize identified input using Presidio Abonymizer.
+
+    :param text:                The text for analysis.
+    :param analyze_results:     The list of Presidio RecognizerResult constructed from
+    :param entity_operator_map: The entity_operator_map is a dictionary that maps entity to operator name and operator params.
+    :param is_full_text:        Whether the text is full text or not.
+
+    :returns: The anonymized text.
+    """
+    if not text:
+        return ""
+
+    anonymizer_engine = _get_anonymizer_engine()
+    if not entity_operator_map:
+        operators = None
+    else:
+        # Create OperatorConfig based on the entity_operator_map
+        operators = {
+            entity: OperatorConfig(operator_name, operator_params)
+            for entity, (operator_name, operator_params) in entity_operator_map.items()
+        }
+
+    if is_full_text:
+        # Anonymize the entire text
+        return anonymizer_engine.anonymize(
+            text=text, analyzer_results=analyze_results, operators=operators
+        ).text
+    # Tokenize the text to sentences
+    sentences = nltk.sent_tokenize(text)
+    anonymized_sentences = []
+    current_idx = 0
+
+    # Find the sentence that has pii entity
+    for sentence in sentences:
+        start_idx = current_idx
+        end_idx = start_idx + len(sentence)
+
+        # Get the entities that are in the sentence, update hte start_idx and end_idx
+        sentence_results = [
+            pa.RecognizerResult(
+                result.entity_type,
+                start=result.start - start_idx,
+                end=result.end - start_idx,
+                score=result.score,
+            )
+            for result in analyze_results
+            if result.start >= start_idx and result.end <= end_idx
+        ]
+
+        # If PII is detected
+        if sentence_results:
+            anonymized_sentence = anonymizer_engine.anonymize(
+                text=sentence, analyzer_results=sentence_results, operators=operators
+            ).text
+            anonymized_sentences.append(anonymized_sentence)
+
+        current_idx = end_idx
+
+    return " ".join(anonymized_sentences)
+
+
+def _get_tokens(
+    text: str, analyze_results: List[pa.RecognizerResult], is_full: bool = True
+) -> List[str]:
+    """
+    Get the full tokens or only contains the entities that can form a sentence.
+
+    :param text:            The text for analysis.
+    :param analyze_results: The list of Presidio RecognizerResult constructed from
+    :param is_full:         Whether return full tokens or just the tokens that only contains the entities that can form a sentence.
+
+    :returns: The tokens.
+    """
+
+    tokens = []
+    # sort by start index
+    results = sorted(analyze_results, key=lambda x: x.start)
+    for i, res in enumerate(results):
+        if i == 0:
+            tokens.append(text[: res.start])
+
+        # append entity text and entity type
+        tokens.append((text[res.start : res.end], res.entity_type))
+
+        # if another entity coming i.e. we're not at the last results element,
+        # add text up to next entity
+        if i != len(results) - 1:
+            tokens.append(text[res.end : results[i + 1].start])
+        # if no more entities coming, add all remaining text
+        else:
+            tokens.append(text[res.end :])
+
+    # get the tokens that only contains the entities that can form a sentence
+    part_annontated_tokens = []
+    if not is_full:
+        last_end_sentence = 0
+        for i, token in enumerate(tokens):
+            if any(item in token for item in [".", "!", "?"]) and any(
+                type(item) is tuple for item in tokens[last_end_sentence:i]
+            ):
+                part_annontated_tokens.append(tokens[last_end_sentence:i])
+                last_end_sentence = i
+        return part_annontated_tokens
+    return tokens
+
+
+def _annotate(
+    text: str, st_analyze_results: List[pa.RecognizerResult], is_full_html: bool = True
+) -> List[str]:
+    """
+    Annotate identified input using Presidio Anonymizer.
+
+    :param text:               The text for analysis.
+    :param st_analyze_results: The list of Presidio RecognizerResult constructed from analysis.
+    :param is_full_html:       Whether generate full html or not.
+
+    :returns: The list of tokens with the identified entities.
+
+    """
+    return _get_tokens(text, st_analyze_results, is_full_html)
+
+
+def _process(
+    text: str,
+    model: pa.AnalyzerEngine,
+    score_threshold: float,
+    entities: List[str] = None,
+    entities_operator_map: dict = None,
+    is_full_text: bool = True,
+) -> Tuple[str, list]:
+    """
+    Process the text of str using the model.
+
+    :param text:                  Text to process
+    :param model:                 Model to use for processing
+    :param entities:              Entities to recognize
+    :param entities_operator_map: The entity_operator_map is a dictionary that maps entity to operator name and operator params.
+    :param score_threshold:       The score threshold to use for recognition
+    :param is_full_text:          Whether to return the full text or just the annotated text
+
+    :returns: A tuple of:
+
+              * the anonymized text
+              * the list of Presidio RecognizerResult constructed from analysis
+    """
+
+    # get the analyzer engine
+    analyzer = model
+
+    # analyze the text that can be used for anonymization
+    results = analyzer.analyze(
+        text=text,
+        language="en",
+        entities=entities,
+        score_threshold=score_threshold,
+        return_decision_process=True,
+    )
+
+    # anonymize the text, replace the pii entities with the labels
+    anonymized_text = _anonymize(text, results, entities_operator_map, is_full_text)
+
+    return anonymized_text, results
+
+
+def _get_single_html(
+    text: str, results: List[pa.RecognizerResult], is_full_html: bool = True
+):
+    """
+    Generate the html for a single txt file.
+
+    :param text:         The text for analysis.
+    :param results:      The list of Presidio RecognizerResult constructed from analysis.
+    :param is_full_html: Whether generate full html or not.
+
+    :returns: The html string for a single txt file.
+    """
+    # convert the results to tokens to generate the html
+    tokens = _annotate(text, results, is_full_html)
+    html = at_util.get_annotated_html(*tokens)
+
+    # avoid the error during rendering of the \n in the html
+    backslash_char = "\\"
+
+    html_str = f"<p>{html.replace('{backslash_char}n', '<br>')}</p>"
+
+    return html_str
+
+
+def _get_single_json(results: List[pa.RecognizerResult], is_full_report: bool = True):
+    """
+    Generate the json for a single txt file.
+
+    :param results:        The list of Presidio RecognizerResult constructed from analysis.
+    :param is_full_report: Whether generate full json or not.
+
+    :returns: The json string for a single txt file.
+    """
+    # generate the stats report if needed
+    if not is_full_report:
+        stats = []
+        # add the simplify stats logic here
+        for item in results:
+            item.analysis_explanation = None
+            stats.append(item)
+    else:
+        stats = results
+
+    return stats
+
+
+def _get_all_html(
+    txt_content: dict,
+    res_dict: dict,
+    is_full_html: bool = True,
+):
+    """
+    Generate the html for all txt files.
+
+    :param txt_content:  The dictionary of txt file name and content.
+    :param res_dict:     The dictionary of txt file name and the list of Presidio RecognizerResult constructed from analysis.
+    :param is_full_html: Whether generate full html or not.
+
+    :returns: The html string for all txt files.
+
+    """
+    # These are placeholder for the html string
+    html_index = "<html><head><title>Highlighted Pii Entities</title></head><body><h1>Highlighted Pii Entities</h1><ul>"
+    html_content = ""
+    for txt_file, results in res_dict.items():
+        txt = txt_content[txt_file]
+        html_index += f"<li><a href='#{txt_file}'>{txt_file}</a></li>"
+        html_content += f"<li><h2>{txt_file}</h2><p>{_get_single_html(txt, results, is_full_html)}</p></li>"
+    html_index += "</ul>"
+    html_res = f"{html_index}{html_content}</body></html>"
+
+    return html_res
+
+
+def _get_all_rpt(res_dict: dict, is_full_report: bool = True):
+    """
+    Generate the stats report for all txt files.
+
+    :param res_dict:       The dictionary of txt file name and the list of Presidio RecognizerResult constructed from analysis.
+    :param is_full_report: Whether generate full report or not.
+
+    :returns: The stats report for all txt files.
+    """
+    # These are placeholder for the json report
+    stats_dict = {}
+    for txt_file, results in res_dict.items():
+        new_stats = []
+        for item in _get_single_json(results, is_full_report):
+            if is_full_report:
+                item.analysis_explanation = item.analysis_explanation.to_dict()
+                new_stats.append(item.to_dict())
+            else:
+                tmp_dict = item.to_dict()
+                tmp_dict.pop("analysis_explanation")
+                tmp_dict.pop("recognition_metadata")
+                new_stats.append(tmp_dict)
+        stats_dict[txt_file] = new_stats
+    return stats_dict
+
+
+def recognize_pii(
+    context: mlrun.MLClientCtx,
+    input_path: Union[str, pathlib.Path],
+    html_key: str,
+    score_threshold: float,
+    output_directory: str = None,
+    entities: List[
+        str
+    ] = None,  # List of entities to recognize, default is recognizing all
+    entity_operator_map: dict = None,
+    model: str = None,
+    generate_json: bool = True,
+    generate_html: bool = True,
+    is_full_text: bool = True,
+    is_full_html: bool = True,
+    is_full_report: bool = True,
+) -> Union[Tuple[str, pd.DataFrame, dict, dict], Tuple[str, pd.DataFrame, dict]]:
+    """
+    Walk through the input path, recognize PII in text and store the anonymized text in the output path.
+    Generate the html with different colors for each entity, json report of the explanation.
+
+    :param context:              The MLRun context. this is needed for log the artifacts.
+    :param input_path:           The input path of the text files needs to be analyzed.
+    :param html_key:             The html key for the artifact.
+    :param score_threshold:      The score threshold to mark the recognition as trusted.
+    :param output_directory:     The output directory path to store the anonymized text.
+    :param entities:             The list of entities to recognize.
+    :param entity_operator_map:  The map of entity to operator (mask, redact, replace, keep, hash, and its params)
+    :param model:                The model to use. Can be "spacy", "flair", "pattern" or "whole".
+    :param generate_json:        Whether to generate the json report of the explanation.
+    :param generate_html:        Whether to generate the html report of the explanation.
+    :param is_full_text:         Whether to return the full text or only the masked text.
+    :param is_full_html:         Whether to return the full html or just the annotated text
+    :param is_full_report:       Whether to return the full report or just the score and start, end index
+
+    :returns: A tuple of:
+
+              * Path to the output directory
+              * The json report of the explanation (if generate_json is True)
+              * A dictionary of errors files that were not processed
+
+    """
+
+    # Set output directory
+    if output_directory is None:
+        output_directory = tempfile.mkdtemp()
+
+    # Create the output directory:
+    output_directory = pathlib.Path(output_directory)
+    if not output_directory.exists():
+        output_directory.mkdir(parents=True, exist_ok=True)
+
+    txt_files_directory = pathlib.Path(input_path)
+    successes = []
+    errors = {}
+
+    res_dict = {}
+    txt_content = {}
+    # Load the model:
+    analyzer = _get_analyzer_engine(model, entities)
+    logger.info("Model loaded")
+    # Go over the text files in the input path, analyze and anonymize them:
+    for txt_file in tqdm(
+        list(txt_files_directory.glob("*.txt")),
+        desc="Processing files",
+        unit="file",
+    ):
+        try:
+            # Load the str from the text file
+            text = txt_file.read_text()
+            txt_content[str(txt_file)] = text
+            # Process the text to recoginze the pii entities in it
+            anonymized_text, results = _process(
+                text=text,
+                model=analyzer,
+                entities=entities,
+                entities_operator_map=entity_operator_map,
+                score_threshold=score_threshold,
+                is_full_text=is_full_text,
+            )
+            res_dict[str(txt_file)] = results
+            # Store the anonymized text in the output path
+            output_file = output_directory / f"{txt_file.stem}.txt"
+            output_file.parent.mkdir(parents=True, exist_ok=True)
+            with open(output_file, "w") as f:
+                f.write(anonymized_text)
+            successes.append([txt_file.name, output_file.name])
+        except Exception as e:
+            errors[str(txt_file)] = str(e)
+            logger.error(f"Error processing {txt_file}: {e}")
+
+    successes = pd.DataFrame(
+        successes,
+        columns=["original_file", "anonymized_file"],
+    )
+
+    if generate_html:
+        # Generate the html report
+        html_res = _get_all_html(txt_content, res_dict, is_full_html)
+        # Store the html report in the context
+        arti_html = mlrun.artifacts.Artifact(body=html_res, format="html", key=html_key)
+        context.log_artifact(arti_html)
+    if generate_json:
+        # Generate the json report
+        json_res = _get_all_rpt(res_dict, is_full_report)
+        return str(output_directory), successes, errors, json_res
+    return str(output_directory), successes, errors
diff --git a/functions/master/pii_recognizer/0.3.0/src/requirements.txt b/functions/master/pii_recognizer/0.3.0/src/requirements.txt
new file mode 100644
index 00000000..467565d4
--- /dev/null
+++ b/functions/master/pii_recognizer/0.3.0/src/requirements.txt
@@ -0,0 +1,12 @@
+faker
+nltk
+pandas
+streamlit
+presidio-anonymizer
+presidio-analyzer
+torch
+st-annotated-text
+streamlit
+git+https://github.com/flairNLP/flair.git@d4ed67bf663e4066517f00397412510d90043653#egg=flair
+st-annotated-text
+https://huggingface.co/beki/en_spacy_pii_distilbert/resolve/main/en_spacy_pii_distilbert-any-py3-none-any.whl
diff --git a/functions/master/pii_recognizer/0.3.0/src/test_pii_recognizer.py b/functions/master/pii_recognizer/0.3.0/src/test_pii_recognizer.py
new file mode 100644
index 00000000..81a16611
--- /dev/null
+++ b/functions/master/pii_recognizer/0.3.0/src/test_pii_recognizer.py
@@ -0,0 +1,251 @@
+# Copyright 2019 Iguazio
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+import os
+import pytest
+import random
+from faker import Faker
+import mlrun
+from pii_recognizer import (
+    _process,
+    _get_analyzer_engine,
+    _anonymize,
+    _annotate,
+    recognize_pii_parallel,
+)
+
+
+def generate_routing_number():
+    prefix = random.randint(0, 99)
+    identifier = random.randint(0, 9999999)
+    identifier_str = str(identifier).zfill(7)
+    weighted_sum = (
+        3 * (int(str(prefix).zfill(2)[0]))
+        + 7 * (int(str(prefix).zfill(2)[1]))
+        + 1 * (int(identifier_str[0]))
+        + 3 * (int(identifier_str[1]))
+        + 7 * (int(identifier_str[2]))
+        + 1 * (int(identifier_str[3]))
+        + 3 * (int(identifier_str[4]))
+        + 7 * (int(identifier_str[5]))
+        + 1 * (int(identifier_str[6]))
+    )
+    check_digit = (10 - (weighted_sum % 10)) % 10
+
+    routing_number = f"{prefix:02d}{identifier_str}{check_digit}"
+
+    return routing_number
+
+
+def generate_us_itin():
+    area_number = random.randint(900, 999)
+    group_number = random.randint(70, 99)
+    serial_number = random.randint(0, 9999)
+
+    formatted_itin = f"{area_number:03d}-{group_number:02d}-{serial_number:04d}"
+    return formatted_itin
+
+
+@pytest.fixture(scope="function")
+def fake_data(request):
+    params = request.param if hasattr(request, "param") else {}
+    fake = Faker("en_US")
+    data = {
+        "name": fake.name(),
+        "email": fake.email(),
+        "address": fake.address(),
+        "phone": fake.phone_number(),
+        "ssn": fake.ssn(),
+        "credit_card": fake.credit_card_number(),
+        "organization": fake.company(),
+        "location": fake.street_address(),
+        "date_time": fake.date(),
+        "mac_address": fake.mac_address(),
+        "us_bank_number": fake.bban(),
+        "imei": "".join(str(fake.random_int(0, 9)) for _ in range(14)),
+        "title": fake.job(),
+        "license_plate": fake.license_plate(),
+        "us_passport": fake.passport_number(),
+        "currency": fake.currency_code(),
+        "routing_number": generate_routing_number(),
+        "us_itin": generate_us_itin(),
+        "age": fake.random_int(1, 100),
+        "password": fake.password(),
+        "swift_code": fake.swift(),
+    }
+
+    data.update(params)
+
+    yield data
+
+
+@pytest.mark.skip()
+def test_pattern_process(fake_data):
+    ENTITIES = {
+        "CREDIT_CARD": "credit_card",
+        "SSN": "ssn",
+        "PHONE": "phone",
+        "EMAIL": "email",
+    }
+
+    analyzer = _get_analyzer_engine(model="pattern")
+    text = f"He can be reached at {fake_data['email']} or {fake_data['phone']}. His credit card number is {fake_data['credit_card']} and his SSN is {fake_data['ssn']}."
+    res, results = _process(text, analyzer, score_threshold=0.5)
+
+    assert any(entity in res for entity in ENTITIES.keys())
+
+
+@pytest.mark.skip()
+def test_spacy_process(fake_data):
+    ENTITIES = {
+        "PERSON": "name",
+        "ORGANIZATION": "organization",
+    }
+
+    analyzer = _get_analyzer_engine(model="spacy")
+    text = f"{fake_data['name']}'s employer is {fake_data['organization']}."
+    res, results = _process(text, analyzer, score_threshold=0.5)
+
+    assert any(entity in res for entity in ENTITIES.keys())
+
+
+@pytest.mark.skip()
+def test_flair_process(fake_data):
+    ENTITIES = {
+        "LOCATION": "location",
+        "PERSON": "name",
+        "ORGANIZATION": "organization",
+        "MAC_ADDRESS": "mac_address",
+        "US_BANK_NUMBER": "us_bank_number",
+        "IMEI": "imei",
+        "TITLE": "title",
+        "LICENSE_PLATE": "license_plate",
+        "US_PASSPORT": "us_passport",
+        "CURRENCY": "currency",
+        "ROUTING_NUMBER": "routing_number",
+        "US_ITIN": "us_itin",
+        "US_BANK_NUMBER": "us_bank_number",
+        "AGE": "age",
+        "PASSWORD": "password",
+        "SWIFT_CODE": "swift_code",
+    }
+
+    analyzer = _get_analyzer_engine(model="flair")
+    text = " ".join(
+        [item + " is " + str(fake_data[item]) for item in ENTITIES.values()]
+    )
+    res, results = _process(text, analyzer, score_threshold=0.5)
+    assert any(entity in res for entity in ENTITIES.keys())
+
+
+@pytest.mark.skip()
+def test_whole_process(fake_data):
+    ENTITIES = {
+        "LOCATION": "location",
+        "PERSON": "name",
+        "ORGANIZATION": "organization",
+        "MAC_ADDRESS": "mac_address",
+        "US_BANK_NUMBER": "us_bank_number",
+        "IMEI": "imei",
+        "TITLE": "title",
+        "LICENSE_PLATE": "license_plate",
+        "US_PASSPORT": "us_passport",
+        "CURRENCY": "currency",
+        "ROUTING_NUMBER": "routing_number",
+        "US_ITIN": "us_itin",
+        "US_BANK_NUMBER": "us_bank_number",
+        "AGE": "age",
+        "CREDIT_CARD": "credit_card",
+        "SSN": "ssn",
+        "PHONE": "phone",
+        "EMAIL": "email",
+        "PASSWORD": "password",
+        "SWIFT_CODE": "swift_code",
+    }
+    text = " ".join(
+        [item + " is " + str(fake_data[item]) for item in ENTITIES.values()]
+    )
+    analyzer = _get_analyzer_engine(model="whole")
+    res, results = _process(text, analyzer, score_threshold=0.5)
+    assert any(entity in res for entity in ENTITIES.keys())
+
+
+@pytest.mark.skip()
+def test_only_entities(fake_data):
+    ENTITIES = {
+        "LOCATION": "location",
+        "PERSON": "name",
+        "ORGANIZATION": "organization",
+        "MAC_ADDRESS": "mac_address",
+        "US_BANK_NUMBER": "us_bank_number",
+        "IMEI": "imei",
+        "TITLE": "title",
+        "LICENSE_PLATE": "license_plate",
+        "US_PASSPORT": "us_passport",
+        "CURRENCY": "currency",
+        "ROUTING_NUMBER": "routing_number",
+        "US_ITIN": "us_itin",
+        "US_BANK_NUMBER": "us_bank_number",
+        "AGE": "age",
+        "CREDIT_CARD": "credit_card",
+        "SSN": "ssn",
+        "PHONE": "phone",
+        "EMAIL": "email",
+        "PASSWORD": "password",
+        "SWIFT_CODE": "swift_code",
+    }
+
+    text = " ".join(
+        [item + " is " + str(fake_data[item]) for item in ENTITIES.values()]
+    )
+    analyzer = _get_analyzer_engine(entities=list(ENTITIES.keys())[:5])
+    res, results = _process(text, analyzer, score_threshold=0.5)
+    assert any(entity in res for entity in ENTITIES.keys())
+
+
+def test_parallel():
+    context = mlrun.get_or_create_ctx("test_parallel")
+    ENTITIES = {
+        "LOCATION": "location",
+        "PERSON": "name",
+        "ORGANIZATION": "organization",
+        "MAC_ADDRESS": "mac_address",
+        "US_BANK_NUMBER": "us_bank_number",
+        "IMEI": "imei",
+        "TITLE": "title",
+        "LICENSE_PLATE": "license_plate",
+        "US_PASSPORT": "us_passport",
+        "CURRENCY": "currency",
+        "ROUTING_NUMBER": "routing_number",
+        "US_ITIN": "us_itin",
+        "US_BANK_NUMBER": "us_bank_number",
+        "AGE": "age",
+        "CREDIT_CARD": "credit_card",
+        "SSN": "ssn",
+        "PHONE": "phone",
+        "EMAIL": "email",
+        "PASSWORD": "password",
+        "SWIFT_CODE": "swift_code",
+    }
+    json_res, erros = recognize_pii_parallel(
+        context=context,
+        config_input_output="data/config.csv",
+        score_threshold=0.5,
+        html_key="test_parallel",
+        entities=list(ENTITIES.keys()),
+        model="whole",
+    )
+
+    assert len(json_res) == 2
diff --git a/functions/master/pii_recognizer/0.3.0/static/documentation.html b/functions/master/pii_recognizer/0.3.0/static/documentation.html
new file mode 100644
index 00000000..68ab9f62
--- /dev/null
+++ b/functions/master/pii_recognizer/0.3.0/static/documentation.html
@@ -0,0 +1,444 @@
+
+<!DOCTYPE html>
+
+<html lang="en">
+<head>
+<meta charset="utf-8"/>
+<meta content="width=device-width, initial-scale=1.0" name="viewport"/><meta content="Docutils 0.17.1: http://docutils.sourceforge.net/" name="generator"/>
+<title>pii_recognizer package</title>
+<!-- Loaded before other Sphinx assets -->
+<link href="../../../_static/styles/theme.css?digest=1999514e3f237ded88cf" rel="stylesheet"/>
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+<ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#submodules">
+   Submodules
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#module-pii_recognizer.pii_recognizer">
+   pii_recognizer.pii_recognizer module
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#module-pii_recognizer">
+   Module contents
+  </a>
+</li>
+</ul>
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+</div>
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+<div class="col pl-md-3 pl-lg-5 content-container">
+<!-- Table of contents that is only displayed when printing the page -->
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+<h1>pii_recognizer package</h1>
+<!-- Table of contents -->
+<div id="print-main-content">
+<div id="jb-print-toc">
+<div>
+<h2> Contents </h2>
+</div>
+<nav aria-label="Page">
+<ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#submodules">
+   Submodules
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#module-pii_recognizer.pii_recognizer">
+   pii_recognizer.pii_recognizer module
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#module-pii_recognizer">
+   Module contents
+  </a>
+</li>
+</ul>
+</nav>
+</div>
+</div>
+</div>
+<main id="main-content" role="main">
+<div>
+<section id="pii-recognizer-package">
+<h1>pii_recognizer package<a class="headerlink" href="#pii-recognizer-package" title="Permalink to this headline">#</a></h1>
+<section id="submodules">
+<h2>Submodules<a class="headerlink" href="#submodules" title="Permalink to this headline">#</a></h2>
+</section>
+<section id="module-pii_recognizer.pii_recognizer">
+<span id="pii-recognizer-pii-recognizer-module"></span><h2>pii_recognizer.pii_recognizer module<a class="headerlink" href="#module-pii_recognizer.pii_recognizer" title="Permalink to this headline">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="pii_recognizer.pii_recognizer.CustomSpacyRecognizer">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">pii_recognizer.pii_recognizer.</span></span><span class="sig-name descname"><span class="pre">CustomSpacyRecognizer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="pii_recognizer.html#CustomSpacyRecognizer"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pii_recognizer.pii_recognizer.CustomSpacyRecognizer" title="Permalink to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">presidio_analyzer.</span></code></p>
+<p>Custom Spacy Recognizer from Presidio Analyzer trained on Privy data.
+The privy data is generated using this <a class="reference external" href="https://github.com/pixie-io/pixie/tree/main/src/datagen/pii/privy">https://github.com/pixie-io/pixie/tree/main/src/datagen/pii/privy</a>
+It can be used to recognize custom entities, Since we want to use Presidio’s Registries to generate AnalyzerEngine,
+it inherits from Presidio Analyzer’s LocalRecognizer class.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="pii_recognizer.pii_recognizer.CustomSpacyRecognizer.RECOGNIZABLE_ENTITIES">
+<span class="sig-name descname"><span class="pre">RECOGNIZABLE_ENTITIES</span></span><em class="property"> <span class="pre">=</span> <span class="pre">{'DATE_TIME',</span> <span class="pre">'LOCATION',</span> <span class="pre">'NRP',</span> <span class="pre">'ORGANIZATION',</span> <span class="pre">'PERSON'}</span></em><a class="headerlink" href="#pii_recognizer.pii_recognizer.CustomSpacyRecognizer.RECOGNIZABLE_ENTITIES" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="pii_recognizer.pii_recognizer.CustomSpacyRecognizer.analyze">
+<span class="sig-name descname"><span class="pre">analyze</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">text</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">entities</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nlp_artifacts</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="pii_recognizer.html#CustomSpacyRecognizer.analyze"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pii_recognizer.pii_recognizer.CustomSpacyRecognizer.analyze" title="Permalink to this definition">#</a></dt>
+<dd><p>Analyze text using Spacy.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>text</strong> – Text to analyze</p></li>
+<li><p><strong>entities</strong> – Entities to analyze</p></li>
+<li><p><strong>nlp_artifacts</strong> – NLP artifacts to use</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>List of Presidio RecognizerResult objects</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="pii_recognizer.pii_recognizer.Entities">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">pii_recognizer.pii_recognizer.</span></span><span class="sig-name descname"><span class="pre">Entities</span></span><a class="reference internal" href="pii_recognizer.html#Entities"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pii_recognizer.pii_recognizer.Entities" title="Permalink to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="pii_recognizer.pii_recognizer.Entities.AGE">
+<span class="sig-name descname"><span class="pre">AGE</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'AGE'</span></em><a class="headerlink" href="#pii_recognizer.pii_recognizer.Entities.AGE" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="pii_recognizer.pii_recognizer.Entities.CREDIT_CARD">
+<span class="sig-name descname"><span class="pre">CREDIT_CARD</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'CREDIT_CARD'</span></em><a class="headerlink" href="#pii_recognizer.pii_recognizer.Entities.CREDIT_CARD" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="pii_recognizer.pii_recognizer.Entities.CURRENCY">
+<span class="sig-name descname"><span class="pre">CURRENCY</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'CURRENCY'</span></em><a class="headerlink" href="#pii_recognizer.pii_recognizer.Entities.CURRENCY" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="pii_recognizer.pii_recognizer.Entities.DATE_TIME">
+<span class="sig-name descname"><span class="pre">DATE_TIME</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'DATE_TIME'</span></em><a class="headerlink" href="#pii_recognizer.pii_recognizer.Entities.DATE_TIME" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="pii_recognizer.pii_recognizer.Entities.EMAIL">
+<span class="sig-name descname"><span class="pre">EMAIL</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'EMAIL'</span></em><a class="headerlink" href="#pii_recognizer.pii_recognizer.Entities.EMAIL" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="pii_recognizer.pii_recognizer.Entities.GPE">
+<span class="sig-name descname"><span class="pre">GPE</span></span><em class="property"> <span class="pre">=</span> <span class="pre">('GPE',)</span></em><a class="headerlink" href="#pii_recognizer.pii_recognizer.Entities.GPE" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="pii_recognizer.pii_recognizer.Entities.IMEI">
+<span class="sig-name descname"><span class="pre">IMEI</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'IMEI'</span></em><a class="headerlink" href="#pii_recognizer.pii_recognizer.Entities.IMEI" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="pii_recognizer.pii_recognizer.Entities.LICENSE_PLATE">
+<span class="sig-name descname"><span class="pre">LICENSE_PLATE</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'LICENSE_PLATE'</span></em><a class="headerlink" href="#pii_recognizer.pii_recognizer.Entities.LICENSE_PLATE" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="pii_recognizer.pii_recognizer.Entities.LOCATION">
+<span class="sig-name descname"><span class="pre">LOCATION</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'LOCATION'</span></em><a class="headerlink" href="#pii_recognizer.pii_recognizer.Entities.LOCATION" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="pii_recognizer.pii_recognizer.Entities.MAC_ADDRESS">
+<span class="sig-name descname"><span class="pre">MAC_ADDRESS</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'MAC_ADDRESS'</span></em><a class="headerlink" href="#pii_recognizer.pii_recognizer.Entities.MAC_ADDRESS" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="pii_recognizer.pii_recognizer.Entities.NRP">
+<span class="sig-name descname"><span class="pre">NRP</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'NRP'</span></em><a class="headerlink" href="#pii_recognizer.pii_recognizer.Entities.NRP" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="pii_recognizer.pii_recognizer.Entities.ORGANIZATION">
+<span class="sig-name descname"><span class="pre">ORGANIZATION</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'ORGANIZATION'</span></em><a class="headerlink" href="#pii_recognizer.pii_recognizer.Entities.ORGANIZATION" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="pii_recognizer.pii_recognizer.Entities.PASSWORD">
+<span class="sig-name descname"><span class="pre">PASSWORD</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'PASSWORD'</span></em><a class="headerlink" href="#pii_recognizer.pii_recognizer.Entities.PASSWORD" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="pii_recognizer.pii_recognizer.Entities.PERSON">
+<span class="sig-name descname"><span class="pre">PERSON</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'PERSON'</span></em><a class="headerlink" href="#pii_recognizer.pii_recognizer.Entities.PERSON" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="pii_recognizer.pii_recognizer.Entities.PHONE">
+<span class="sig-name descname"><span class="pre">PHONE</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'PHONE'</span></em><a class="headerlink" href="#pii_recognizer.pii_recognizer.Entities.PHONE" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="pii_recognizer.pii_recognizer.Entities.ROUTING_NUMBER">
+<span class="sig-name descname"><span class="pre">ROUTING_NUMBER</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'ROUTING_NUMBER'</span></em><a class="headerlink" href="#pii_recognizer.pii_recognizer.Entities.ROUTING_NUMBER" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="pii_recognizer.pii_recognizer.Entities.SSN">
+<span class="sig-name descname"><span class="pre">SSN</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'SSN'</span></em><a class="headerlink" href="#pii_recognizer.pii_recognizer.Entities.SSN" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="pii_recognizer.pii_recognizer.Entities.SWIFT_CODE">
+<span class="sig-name descname"><span class="pre">SWIFT_CODE</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'SWIFT_CODE'</span></em><a class="headerlink" href="#pii_recognizer.pii_recognizer.Entities.SWIFT_CODE" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="pii_recognizer.pii_recognizer.Entities.TITLE">
+<span class="sig-name descname"><span class="pre">TITLE</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'TITLE'</span></em><a class="headerlink" href="#pii_recognizer.pii_recognizer.Entities.TITLE" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="pii_recognizer.pii_recognizer.Entities.US_BANK_NUMBER">
+<span class="sig-name descname"><span class="pre">US_BANK_NUMBER</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'US_BANK_NUMBER'</span></em><a class="headerlink" href="#pii_recognizer.pii_recognizer.Entities.US_BANK_NUMBER" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="pii_recognizer.pii_recognizer.Entities.US_DRIVER_LICENSE">
+<span class="sig-name descname"><span class="pre">US_DRIVER_LICENSE</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'US_DRIVER_LICENSE'</span></em><a class="headerlink" href="#pii_recognizer.pii_recognizer.Entities.US_DRIVER_LICENSE" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="pii_recognizer.pii_recognizer.Entities.US_ITIN">
+<span class="sig-name descname"><span class="pre">US_ITIN</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'US_ITIN'</span></em><a class="headerlink" href="#pii_recognizer.pii_recognizer.Entities.US_ITIN" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="pii_recognizer.pii_recognizer.Entities.US_PASSPORT">
+<span class="sig-name descname"><span class="pre">US_PASSPORT</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'US_PASSPORT'</span></em><a class="headerlink" href="#pii_recognizer.pii_recognizer.Entities.US_PASSPORT" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="pii_recognizer.pii_recognizer.FlairRecognizer">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">pii_recognizer.pii_recognizer.</span></span><span class="sig-name descname"><span class="pre">FlairRecognizer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="pii_recognizer.html#FlairRecognizer"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pii_recognizer.pii_recognizer.FlairRecognizer" title="Permalink to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">presidio_analyzer.</span></code></p>
+<p>Wrapper for a flair model, if needed to be used within Presidio Analyzer.
+This is to make sure the recognizer can be registered with Presidio registry.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="pii_recognizer.pii_recognizer.FlairRecognizer.RECOGNIZABLE_ENTITIES">
+<span class="sig-name descname"><span class="pre">RECOGNIZABLE_ENTITIES</span></span><em class="property"> <span class="pre">=</span> <span class="pre">{'AGE',</span> <span class="pre">'CURRENCY',</span> <span class="pre">'GPE',</span> <span class="pre">'IMEI',</span> <span class="pre">'LICENSE_PLATE',</span> <span class="pre">'LOCATION',</span> <span class="pre">'MAC_ADDRESS',</span> <span class="pre">'NRP',</span> <span class="pre">'ORGANIZATION',</span> <span class="pre">'PASSWORD',</span> <span class="pre">'PERSON',</span> <span class="pre">'ROUTING_NUMBER',</span> <span class="pre">'SWIFT_CODE',</span> <span class="pre">'TITLE',</span> <span class="pre">'US_BANK_NUMBER',</span> <span class="pre">'US_DRIVER_LICENSE',</span> <span class="pre">'US_ITIN',</span> <span class="pre">'US_PASSPORT'}</span></em><a class="headerlink" href="#pii_recognizer.pii_recognizer.FlairRecognizer.RECOGNIZABLE_ENTITIES" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="pii_recognizer.pii_recognizer.FlairRecognizer.analyze">
+<span class="sig-name descname"><span class="pre">analyze</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">text</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">entities</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nlp_artifacts</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">presidio_analyzer.nlp_engine.NlpArtifacts</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> → <span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">presidio_analyzer.RecognizerResult</span><span class="p"><span class="pre">]</span></span><a class="reference internal" href="pii_recognizer.html#FlairRecognizer.analyze"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pii_recognizer.pii_recognizer.FlairRecognizer.analyze" title="Permalink to this definition">#</a></dt>
+<dd><p>Analyze text and return the results.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>text</strong> – The text for analysis.</p></li>
+<li><p><strong>entities</strong> – The list of entities to recognize.</p></li>
+<li><p><strong>nlp_artifacts</strong> – Not used by this recognizer but needed for the interface.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>The list of Presidio RecognizerResult constructed from the recognized Flair detections.</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="pii_recognizer.pii_recognizer.Models">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">pii_recognizer.pii_recognizer.</span></span><span class="sig-name descname"><span class="pre">Models</span></span><a class="reference internal" href="pii_recognizer.html#Models"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pii_recognizer.pii_recognizer.Models" title="Permalink to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="pii_recognizer.pii_recognizer.Models.FLAIR">
+<span class="sig-name descname"><span class="pre">FLAIR</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'flair'</span></em><a class="headerlink" href="#pii_recognizer.pii_recognizer.Models.FLAIR" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="pii_recognizer.pii_recognizer.Models.PATTERN">
+<span class="sig-name descname"><span class="pre">PATTERN</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'pattern'</span></em><a class="headerlink" href="#pii_recognizer.pii_recognizer.Models.PATTERN" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="pii_recognizer.pii_recognizer.Models.SPACY">
+<span class="sig-name descname"><span class="pre">SPACY</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'spacy'</span></em><a class="headerlink" href="#pii_recognizer.pii_recognizer.Models.SPACY" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="pii_recognizer.pii_recognizer.Models.WHOLE">
+<span class="sig-name descname"><span class="pre">WHOLE</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'whole'</span></em><a class="headerlink" href="#pii_recognizer.pii_recognizer.Models.WHOLE" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="pii_recognizer.pii_recognizer.PatternRecognizerFactory">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">pii_recognizer.pii_recognizer.</span></span><span class="sig-name descname"><span class="pre">PatternRecognizerFactory</span></span><a class="reference internal" href="pii_recognizer.html#PatternRecognizerFactory"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pii_recognizer.pii_recognizer.PatternRecognizerFactory" title="Permalink to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
+<p>Factory for creating pattern recognizers, it can be extended in the future to
+add more regex pattern for different entities. For the pattern recognizer to work,
+we need construct a list of regex patterns for each entity.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="pii_recognizer.pii_recognizer.PatternRecognizerFactory.RECOGNIZABLE_ENTITIES">
+<span class="sig-name descname"><span class="pre">RECOGNIZABLE_ENTITIES</span></span><em class="property"> <span class="pre">=</span> <span class="pre">{'CREDIT_CARD':</span> <span class="pre">[presidio_analyzer.Pattern],</span> <span class="pre">'EMAIL':</span> <span class="pre">[presidio_analyzer.Pattern],</span> <span class="pre">'PHONE':</span> <span class="pre">[presidio_analyzer.Pattern],</span> <span class="pre">'SSN':</span> <span class="pre">[presidio_analyzer.Pattern]}</span></em><a class="headerlink" href="#pii_recognizer.pii_recognizer.PatternRecognizerFactory.RECOGNIZABLE_ENTITIES" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="pii_recognizer.pii_recognizer.recognize_pii">
+<span class="sig-prename descclassname"><span class="pre">pii_recognizer.pii_recognizer.</span></span><span class="sig-name descname"><span class="pre">recognize_pii</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">context</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">mlrun.execution.MLClientCtx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">pathlib.Path</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">html_key</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">score_threshold</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">float</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_directory</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">entities</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">entity_operator_map</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">generate_json</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">generate_html</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">is_full_text</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">is_full_html</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">is_full_report</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> → <span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span> </span><span class="pre">dict</span><span class="p"><span class="pre">,</span> </span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span> </span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><a class="reference internal" href="pii_recognizer.html#recognize_pii"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pii_recognizer.pii_recognizer.recognize_pii" title="Permalink to this definition">#</a></dt>
+<dd><p>Walk through the input path, recognize PII in text and store the anonymized text in the output path.
+Generate the html with different colors for each entity, json report of the explanation.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>context</strong> – The MLRun context. this is needed for log the artifacts.</p></li>
+<li><p><strong>input_path</strong> – The input path of the text files needs to be analyzed.</p></li>
+<li><p><strong>html_key</strong> – The html key for the artifact.</p></li>
+<li><p><strong>score_threshold</strong> – The score threshold to mark the recognition as trusted.</p></li>
+<li><p><strong>output_directory</strong> – The output directory path to store the anonymized text.</p></li>
+<li><p><strong>entities</strong> – The list of entities to recognize.</p></li>
+<li><p><strong>entity_operator_map</strong> – The map of entity to operator (mask, redact, replace, keep, hash, and its params)</p></li>
+<li><p><strong>model</strong> – The model to use. Can be “spacy”, “flair”, “pattern” or “whole”.</p></li>
+<li><p><strong>generate_json</strong> – Whether to generate the json report of the explanation.</p></li>
+<li><p><strong>generate_html</strong> – Whether to generate the html report of the explanation.</p></li>
+<li><p><strong>is_full_text</strong> – Whether to return the full text or only the masked text.</p></li>
+<li><p><strong>is_full_html</strong> – Whether to return the full html or just the annotated text</p></li>
+<li><p><strong>is_full_report</strong> – Whether to return the full report or just the score and start, end index</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p><p>A tuple of:</p>
+<ul class="simple">
+<li><p>Path to the output directory</p></li>
+<li><p>The json report of the explanation (if generate_json is True)</p></li>
+<li><p>A dictionary of errors files that were not processed</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+</section>
+<section id="module-pii_recognizer">
+<span id="module-contents"></span><h2>Module contents<a class="headerlink" href="#module-pii_recognizer" title="Permalink to this headline">#</a></h2>
+</section>
+</section>
+</div>
+</main>
+<footer class="footer-article noprint">
+<!-- Previous / next buttons -->
+<div class="prev-next-area">
+</div>
+</footer>
+</div>
+</div>
+<div class="footer-content row">
+<footer class="col footer"><p>
+  
+      © Copyright .<br/>
+</p>
+</footer>
+</div>
+</div>
+</div>
+</div>
+<!-- Scripts loaded after <body> so the DOM is not blocked -->
+<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf"></script>
+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/pii_recognizer/0.3.0/static/example.html b/functions/master/pii_recognizer/0.3.0/static/example.html
new file mode 100644
index 00000000..2ae8f4ae
--- /dev/null
+++ b/functions/master/pii_recognizer/0.3.0/static/example.html
@@ -0,0 +1,1922 @@
+
+<!DOCTYPE html>
+
+<html lang="en">
+<head>
+<meta charset="utf-8"/>
+<meta content="width=device-width, initial-scale=1.0" name="viewport"/><meta content="Docutils 0.17.1: http://docutils.sourceforge.net/" name="generator"/>
+<title>PII Recognizer</title>
+<!-- Loaded before other Sphinx assets -->
+<link href="../../../_static/styles/theme.css?digest=1999514e3f237ded88cf" rel="stylesheet"/>
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+<link href="../../../_static/togglebutton.css" rel="stylesheet" type="text/css">
+<!-- Pre-loaded scripts that we'll load fully later -->
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+<script data-url_root="./" id="documentation_options" src="../../../_static/documentation_options.js"></script>
+<script src="../../../_static/jquery.js"></script>
+<script src="../../../_static/underscore.js"></script>
+<script src="../../../_static/doctools.js"></script>
+<script>let toggleHintShow = 'Click to show';</script>
+<script>let toggleHintHide = 'Click to hide';</script>
+<script>let toggleOpenOnPrint = 'true';</script>
+<script src="../../../_static/togglebutton.js"></script>
+<script src="../../../_static/scripts/sphinx-book-theme.js"></script>
+<script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+<link href="genindex.html" rel="index" title="Index">
+<link href="search.html" rel="search" title="Search">
+<meta content="width=device-width, initial-scale=1" name="viewport"/>
+<meta content="en" name="docsearch:language"/>
+<!-- Google Analytics -->
+</link></link></link></link></link></link></head>
+<body data-offset="60" data-spy="scroll" data-target="#bd-toc-nav">
+<!-- Checkboxes to toggle the left sidebar -->
+<input aria-label="Toggle navigation sidebar" class="sidebar-toggle" id="__navigation" name="__navigation" type="checkbox"/>
+<label class="overlay overlay-navbar" for="__navigation">
+<div class="visually-hidden">Toggle navigation sidebar</div>
+</label>
+<!-- Checkboxes to toggle the in-page toc -->
+<input aria-label="Toggle in-page Table of Contents" class="sidebar-toggle" id="__page-toc" name="__page-toc" type="checkbox"/>
+<label class="overlay overlay-pagetoc" for="__page-toc">
+<div class="visually-hidden">Toggle in-page Table of Contents</div>
+</label>
+<!-- Headers at the top -->
+<div class="announcement header-item noprint"></div>
+<div class="header header-item noprint"></div>
+<div class="container-fluid" id="banner"></div>
+<div class="container-xl">
+<div class="row">
+<!-- Sidebar -->
+<div class="bd-sidebar noprint single-page" id="site-navigation">
+</div>
+<!-- A tiny helper pixel to detect if we've scrolled -->
+<div class="sbt-scroll-pixel-helper"></div>
+<!-- Main content -->
+<div class="col py-0 content-container">
+<div class="header-article row sticky-top noprint">
+<div class="col py-1 d-flex header-article-main">
+<div class="header-article__left">
+</div>
+<div class="header-article__right">
+<button class="headerbtn" data-placement="bottom" data-toggle="tooltip" onclick="toggleFullScreen()" title="Fullscreen mode">
+<span class="headerbtn__icon-container">
+<i class="fas fa-expand"></i>
+</span>
+</button>
+<div class="menu-dropdown menu-dropdown-repository-buttons">
+<button aria-label="Source repositories" class="headerbtn menu-dropdown__trigger">
+<i class="fab fa-github"></i>
+</button>
+<div class="menu-dropdown__content">
+<ul>
+<li>
+<a class="headerbtn" data-placement="left" data-toggle="tooltip" href="https://github.com/mlrun/marketplace" title="Source repository">
+<span class="headerbtn__icon-container">
+<i class="fab fa-github"></i>
+</span>
+<span class="headerbtn__text-container">repository</span>
+</a>
+</li>
+<li>
+<a class="headerbtn" data-placement="left" data-toggle="tooltip" href="https://github.com/mlrun/marketplace/issues/new?title=Issue%20on%20page%20%2Fpii_recognizer_example.html&amp;body=Your%20issue%20content%20here." title="Open an issue">
+<span class="headerbtn__icon-container">
+<i class="fas fa-lightbulb"></i>
+</span>
+<span class="headerbtn__text-container">open issue</span>
+</a>
+</li>
+<li>
+<a class="headerbtn" data-placement="left" data-toggle="tooltip" href="https://github.com/mlrun/marketplace/edit/master/docs/pii_recognizer_example.ipynb" title="Edit this page">
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+<i class="fas fa-pencil-alt"></i>
+</span>
+<span class="headerbtn__text-container">suggest edit</span>
+</a>
+</li>
+</ul>
+</div>
+</div>
+<div class="menu-dropdown menu-dropdown-download-buttons">
+<button aria-label="Download this page" class="headerbtn menu-dropdown__trigger">
+<i class="fas fa-download"></i>
+</button>
+<div class="menu-dropdown__content">
+<ul>
+<li>
+<a class="headerbtn" data-placement="left" data-toggle="tooltip" href="../src/pii_recognizer.ipynb" title="Download source file">
+<span class="headerbtn__icon-container">
+<i class="fas fa-file"></i>
+</span>
+<span class="headerbtn__text-container">.ipynb</span>
+</a>
+</li>
+<li>
+<button class="headerbtn" data-placement="left" data-toggle="tooltip" onclick="printPdf(this)" title="Print to PDF">
+<span class="headerbtn__icon-container">
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+<span class="headerbtn__text-container">.pdf</span>
+</button>
+</li>
+</ul>
+</div>
+</div>
+<label class="headerbtn headerbtn-page-toc" for="__page-toc">
+<span class="headerbtn__icon-container">
+<i class="fas fa-list"></i>
+</span>
+</label>
+</div>
+</div>
+<!-- Table of contents -->
+<div class="col-md-3 bd-toc show noprint">
+<div class="tocsection onthispage pt-5 pb-3">
+<i class="fas fa-list"></i> Contents
+    </div>
+<nav aria-label="Page" id="bd-toc-nav">
+<ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#documentation">
+   1. Documentation
+  </a>
+<ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry">
+<a class="reference internal nav-link" href="#parameters">
+     1.1. Parameters:
+    </a>
+</li>
+<li class="toc-h3 nav-item toc-entry">
+<a class="reference internal nav-link" href="#outputs">
+     1.2. Outputs:
+    </a>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#results">
+   2. Results
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#end-to-end-demo">
+   3. End-to-end Demo
+  </a>
+<ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry">
+<a class="reference internal nav-link" href="#recognition-configurations">
+     3.1. Recognition configurations
+    </a>
+</li>
+<li class="toc-h3 nav-item toc-entry">
+<a class="reference internal nav-link" href="#masking-configurations">
+     3.2. Masking configurations
+    </a>
+</li>
+<li class="toc-h3 nav-item toc-entry">
+<a class="reference internal nav-link" href="#output-configurations">
+     3.3 Output configurations
+    </a>
+</li>
+</ul>
+</li>
+</ul>
+</nav>
+</div>
+</div>
+<div class="article row">
+<div class="col pl-md-3 pl-lg-5 content-container">
+<!-- Table of contents that is only displayed when printing the page -->
+<div class="onlyprint" id="jb-print-docs-body">
+<h1>PII Recognizer</h1>
+<!-- Table of contents -->
+<div id="print-main-content">
+<div id="jb-print-toc">
+<div>
+<h2> Contents </h2>
+</div>
+<nav aria-label="Page">
+<ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#documentation">
+   1. Documentation
+  </a>
+<ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry">
+<a class="reference internal nav-link" href="#parameters">
+     1.1. Parameters:
+    </a>
+</li>
+<li class="toc-h3 nav-item toc-entry">
+<a class="reference internal nav-link" href="#outputs">
+     1.2. Outputs:
+    </a>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#results">
+   2. Results
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#end-to-end-demo">
+   3. End-to-end Demo
+  </a>
+<ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry">
+<a class="reference internal nav-link" href="#recognition-configurations">
+     3.1. Recognition configurations
+    </a>
+</li>
+<li class="toc-h3 nav-item toc-entry">
+<a class="reference internal nav-link" href="#masking-configurations">
+     3.2. Masking configurations
+    </a>
+</li>
+<li class="toc-h3 nav-item toc-entry">
+<a class="reference internal nav-link" href="#output-configurations">
+     3.3 Output configurations
+    </a>
+</li>
+</ul>
+</li>
+</ul>
+</nav>
+</div>
+</div>
+</div>
+<main id="main-content" role="main">
+<div>
+<section id="pii-recognizer">
+<h1>PII Recognizer<a class="headerlink" href="#pii-recognizer" title="Permalink to this headline">#</a></h1>
+<p>A function to detect pii data and anonymize the pii entity in the text.</p>
+<p>In this notebook we will go over the function’s docs and outputs and see an end-to-end example of running it.</p>
+<ol class="arabic simple">
+<li><p><span class="xref myst">Documentation</span></p></li>
+<li><p><span class="xref myst">Results</span></p></li>
+<li><p><span class="xref myst">End-to-end Demo</span></p></li>
+</ol>
+<p><a id="chapter1"></a></p>
+<section id="documentation">
+<h2>1. Documentation<a class="headerlink" href="#documentation" title="Permalink to this headline">#</a></h2>
+<p>The function receive a directory path with all the text files in it. It walk through the directory, get all the text file. Then it detect the pii entity inside of the text file, apply the operator on the entity. Generate the html file with all pii entity highlighted. Generate the json report has the explaination of the process.</p>
+<section id="parameters">
+<h3>1.1. Parameters:<a class="headerlink" href="#parameters" title="Permalink to this headline">#</a></h3>
+<ul>
+<li><p><strong>context</strong>: <code class="docutils literal notranslate"><span class="pre">mlrun.MLClientCtx</span></code></p>
+<p>The MLRun context</p>
+</li>
+<li><p><strong>input_path</strong>: <code class="docutils literal notranslate"><span class="pre">str</span></code></p>
+<p>The input directory with all the text files</p>
+</li>
+<li><p><strong>output_path</strong>: <code class="docutils literal notranslate"><span class="pre">str</span></code></p>
+<p>The directory that is used to store the anonymized text files. it is also used for mlrun to log the artifact as zip file</p>
+</li>
+<li><p><strong>output_suffix</strong>: <code class="docutils literal notranslate"><span class="pre">str</span></code></p>
+<p>The suffix will added to the input file. for example if the input text file is pii.txt, if output_suffix is “anonymized”, the output file would be pii_anonymized.txt</p>
+</li>
+<li><p><strong>html_key</strong>: <code class="docutils literal notranslate"><span class="pre">str</span></code></p>
+<p>The artifact name of the html file</p>
+</li>
+<li><p><strong>entities</strong>: <code class="docutils literal notranslate"><span class="pre">List[str]</span></code></p>
+<p>The list of the entities to recognize. Please make sure the model you choose can recognize the entities.</p>
+</li>
+<li><p><strong>entity_operator_map</strong>: <code class="docutils literal notranslate"><span class="pre">List[str]</span></code>
+For different entity, we can apply different operator. Now supports Keep, Mask, Replace, Redact, Hash</p>
+<pre>
+   entity_operator_map = {
+      "PERSON": ("keep", {}),
+      "EMAIL": ("mask", {"masking_char": "#", "chars_to_mask": 5, "from_end": False}),
+      "PHONE": ("hash", {}),
+      "LOCATION": ("redact", {}),
+      "ORGANIZATION": ("replace", {"new_value": "Company XYZ"})
+      }
+   </pre>
+<p>In this example:</p>
+<ul class="simple">
+<li><p>“PERSON” entities are kept as they are using the “keep” operator.</p></li>
+<li><p>“EMAIL_ADDRESS” entities are masked with the “#” character, masking the first five characters.</p></li>
+<li><p>“PHONE_NUMBER” entities are replaced with their hashed value using the “hash” operator.</p></li>
+<li><p>“LOCATION” entities are completely removed using the “redact” operator.</p></li>
+<li><p>“ORGANIZATION” entities are replaced with the string “Company XYZ” using the “replace” operator.</p></li>
+</ul>
+</li>
+<li><p><strong>model</strong>: <code class="docutils literal notranslate"><span class="pre">str</span></code></p>
+<ul class="simple">
+<li><p>“whole”, “spacy”, “pattern”, “flair”. The default is “whole”.</p></li>
+</ul>
+<p>For each model, it can detect some entities. The “whole” model is combined all three models together. It can detect all the entities list below.</p>
+<ul class="simple">
+<li><p>“spacy” : [“LOCATION”, “PERSON”,”NRP”,”ORGANIZATION”,”DATE_TIME”]</p></li>
+<li><p>“pattern”: [“CREDIT_CARD”, “SSN”, “PHONE”, “EMAIL”]</p></li>
+<li><p>“flair”: [ “LOCATION”,
+“PERSON”,
+“NRP”,
+“GPE”,
+“ORGANIZATION”,
+“MAC_ADDRESS”,
+“US_BANK_NUMBER”,
+“IMEI”,
+“TITLE”,
+“LICENSE_PLATE”,
+“US_PASSPORT”,
+“CURRENCY”,
+“ROUTING_NUMBER”,
+“US_ITIN”,
+“US_BANK_NUMBER”,
+“US_DRIVER_LICENSE”,
+“AGE”,
+“PASSWORD”,
+“SWIFT_CODE”
+]</p></li>
+</ul>
+</li>
+<li><p><strong>score_threshold</strong>:</p>
+<p>Minimum confidence value, the default is 0 to align with presidio.AnalyzerEngine</p>
+</li>
+<li><p><strong>generate_json_rpt</strong>:</p>
+<p>Whether to generate the json report of the explaination</p>
+</li>
+<li><p><strong>generate_html_rpt</strong>:</p>
+<p>Whether to generate the html with highlighted pii entities or not</p>
+</li>
+<li><p><strong>is_full_text</strong>:</p>
+<p>Whether to return the full text or just the sentences with pii entities.</p>
+</li>
+<li><p><strong>is_full_html</strong>: <code class="docutils literal notranslate"><span class="pre">bool</span></code></p>
+<p>Whether to return the full html or just the annotated html</p>
+</li>
+<li><p><strong>is_full_report</strong>: <code class="docutils literal notranslate"><span class="pre">bool</span></code></p>
+<p>Whether to return the full json report or just the score and start, end index</p>
+</li>
+</ul>
+</section>
+<section id="outputs">
+<h3>1.2. Outputs:<a class="headerlink" href="#outputs" title="Permalink to this headline">#</a></h3>
+<p>There are two outputs of this function.</p>
+<ul>
+<li><p><strong>output_path</strong>: <code class="docutils literal notranslate"><span class="pre">str</span></code></p>
+<p>The directory stored all the anonymized text files</p>
+</li>
+<li><p><strong>rpt_json</strong>: <code class="docutils literal notranslate"><span class="pre">dict</span></code></p>
+<p>A dict of reporting to explain how does the model detect the pii entity</p>
+</li>
+<li><p><strong>errors</strong> : <code class="docutils literal notranslate"><span class="pre">dict</span></code>
+A dict of errors when processing the text files if any</p></li>
+</ul>
+<p><a id="chapter2"></a></p>
+</section>
+</section>
+<section id="results">
+<h2>2. Results<a class="headerlink" href="#results" title="Permalink to this headline">#</a></h2>
+<p>The result of the function looks like the following:</p>
+<p>For example if the input string is</p>
+<p><code class="docutils literal notranslate"><span class="pre">John</span> <span class="pre">Doe</span> <span class="pre">'s</span> <span class="pre">ssn</span> <span class="pre">is</span> <span class="pre">182838483,</span> <span class="pre">connect</span> <span class="pre">john</span> <span class="pre">doe</span> <span class="pre">with</span> <span class="pre">john_doe@gmail.com</span> <span class="pre">or</span> <span class="pre">6288389029,</span> <span class="pre">he</span> <span class="pre">can</span> <span class="pre">pay</span> <span class="pre">you</span> <span class="pre">with</span> <span class="pre">41482929939393</span></code></p>
+<p>The anonymized_text is</p>
+<p><code class="docutils literal notranslate"><span class="pre">&lt;PERSON&gt;'s</span> <span class="pre">&lt;ORGANIZATION&gt;</span> <span class="pre">is</span> <span class="pre">&lt;SSN&gt;,</span> <span class="pre">connect</span> <span class="pre">&lt;PERSON&gt;</span> <span class="pre">with</span> <span class="pre">&lt;PERSON&gt;</span> <span class="pre">&lt;EMAIL&gt;</span> <span class="pre">or</span> <span class="pre">&lt;PHONE&gt;,</span> <span class="pre">he</span> <span class="pre">can</span> <span class="pre">pay</span> <span class="pre">you</span> <span class="pre">with</span> <span class="pre">&lt;CREDIT_CARD&gt;</span></code></p>
+<p>The html_str is</p>
+<html><body><p><span><span style="display:inline-flex;flex-direction:row;align-items:center;background:#21c35466;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1">John Doe's<span style="border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch"></span><span style="margin-left:0.5rem;font-size:0.75rem;opacity:0.5">PERSON</span></span> <span style="display:inline-flex;flex-direction:row;align-items:center;background:#80849566;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1">ssn<span style="border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch"></span><span style="margin-left:0.5rem;font-size:0.75rem;opacity:0.5">ORGANIZATION</span></span> is <span style="display:inline-flex;flex-direction:row;align-items:center;background:#ffa42133;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1">182838483<span style="border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch"></span><span style="margin-left:0.5rem;font-size:0.75rem;opacity:0.5">SSN</span></span>, connect me with <span style="display:inline-flex;flex-direction:row;align-items:center;background:#21c35466;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1">john_doe@gmail.com<span style="border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch"></span><span style="margin-left:0.5rem;font-size:0.75rem;opacity:0.5">PERSON</span></span><span style="display:inline-flex;flex-direction:row;align-items:center;background:#ff4b4b33;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1">john_doe@gmail.com<span style="border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch"></span><span style="margin-left:0.5rem;font-size:0.75rem;opacity:0.5">EMAIL</span></span> or <span style="display:inline-flex;flex-direction:row;align-items:center;background:#ff4b4b33;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1">6288389029<span style="border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch"></span><span style="margin-left:0.5rem;font-size:0.75rem;opacity:0.5">PHONE</span></span>, he can pay you with <span style="display:inline-flex;flex-direction:row;align-items:center;background:#ffa42133;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1">41482929939393<span style="border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch"></span><span style="margin-left:0.5rem;font-size:0.75rem;opacity:0.5">CREDIT_CARD</span></span>
+</span></p></body></html>
+<p>The json report that explain the output is</p>
+<div class="highlight-yaml notranslate"><div class="highlight"><pre><span></span><span class="p p-Indicator">[</span>
+<span class="w">  </span><span class="p p-Indicator">{</span>
+<span class="w">    </span><span class="s">"entity_type"</span><span class="p p-Indicator">:</span><span class="w"> </span><span class="s">"PERSON"</span><span class="p p-Indicator">,</span><span class="w"> </span><span class="c1"># result of the labeling</span>
+<span class="w">    </span><span class="s">"start"</span><span class="p p-Indicator">:</span><span class="w"> </span><span class="nv">0</span><span class="p p-Indicator">,</span><span class="w"> </span><span class="c1"># start positon of the entity</span>
+<span class="w">    </span><span class="s">"end"</span><span class="p p-Indicator">:</span><span class="w"> </span><span class="nv">9</span><span class="p p-Indicator">,</span><span class="w">  </span><span class="c1"># end postion of the entity</span>
+<span class="w">    </span><span class="s">"score"</span><span class="p p-Indicator">:</span><span class="w"> </span><span class="nv">0.99</span><span class="p p-Indicator">,</span><span class="w"> </span><span class="c1"># the confident score of the model + context_improvement</span>
+<span class="w">    </span><span class="s">"analysis_explanation"</span><span class="p p-Indicator">:</span><span class="w"> </span><span class="p p-Indicator">{</span>
+<span class="w">      </span><span class="s">"recognizer"</span><span class="p p-Indicator">:</span><span class="w"> </span><span class="s">"FlairRecognizer"</span><span class="p p-Indicator">,</span><span class="w"> </span><span class="c1"># which recognizer is used to recognize this entity</span>
+<span class="w">      </span><span class="s">"pattern_name"</span><span class="p p-Indicator">:</span><span class="w"> </span><span class="nv">null</span><span class="p p-Indicator">,</span>
+<span class="w">      </span><span class="s">"pattern"</span><span class="p p-Indicator">:</span><span class="w"> </span><span class="nv">null</span><span class="p p-Indicator">,</span>
+<span class="w">      </span><span class="s">"original_score"</span><span class="p p-Indicator">:</span><span class="w"> </span><span class="nv">0.99</span><span class="p p-Indicator">,</span><span class="w"> </span><span class="c1"># The original confident score from the pre-trained model</span>
+<span class="w">      </span><span class="s">"score"</span><span class="p p-Indicator">:</span><span class="w"> </span><span class="nv">0.99</span><span class="p p-Indicator">,</span><span class="w"> </span><span class="c1"># the final score = original_score + score_context_improvement</span>
+<span class="w">      </span><span class="s">"textual_explanation"</span><span class="p p-Indicator">:</span><span class="w"> </span><span class="s">"Identified</span><span class="nv"> </span><span class="s">as</span><span class="nv"> </span><span class="s">PER</span><span class="nv"> </span><span class="s">by</span><span class="nv"> </span><span class="s">Flair's</span><span class="nv"> </span><span class="s">Named</span><span class="nv"> </span><span class="s">Entity</span><span class="nv"> </span><span class="s">Recognition"</span><span class="p p-Indicator">,</span>
+<span class="w">      </span><span class="s">"score_context_improvement"</span><span class="p p-Indicator">:</span><span class="w"> </span><span class="nv">0</span><span class="p p-Indicator">,</span><span class="w"> </span><span class="c1"># The improvement from the context</span>
+<span class="w">      </span><span class="s">"supportive_context_word"</span><span class="p p-Indicator">:</span><span class="w"> </span><span class="s">""</span><span class="p p-Indicator">,</span>
+<span class="w">      </span><span class="s">"validation_result"</span><span class="p p-Indicator">:</span><span class="w"> </span><span class="nv">null</span>
+<span class="w">    </span><span class="p p-Indicator">},</span>
+<span class="w">    </span><span class="s">"recognition_metadata"</span><span class="p p-Indicator">:</span><span class="w"> </span><span class="p p-Indicator">{</span>
+<span class="w">      </span><span class="s">"recognizer_identifier"</span><span class="p p-Indicator">:</span><span class="w"> </span><span class="s">"Flair</span><span class="nv"> </span><span class="s">Analytics_5577088640"</span><span class="p p-Indicator">,</span>
+<span class="w">      </span><span class="s">"recognizer_name"</span><span class="p p-Indicator">:</span><span class="w"> </span><span class="s">"Flair</span><span class="nv"> </span><span class="s">Analytics"</span>
+<span class="w">    </span><span class="p p-Indicator">}</span>
+<span class="w">  </span><span class="p p-Indicator">},</span>
+<span class="w">  </span><span class="nv">....</span>
+<span class="p p-Indicator">]</span>
+</pre></div>
+</div>
+<p><a id="chapter3"></a></p>
+</section>
+<section id="end-to-end-demo">
+<h2>3. End-to-end Demo<a class="headerlink" href="#end-to-end-demo" title="Permalink to this headline">#</a></h2>
+<section id="recognition-configurations">
+<h3>3.1. Recognition configurations<a class="headerlink" href="#recognition-configurations" title="Permalink to this headline">#</a></h3>
+<ul class="simple">
+<li><p>model: which model you want to use.</p></li>
+<li><p>entities: What entities to recognize?</p></li>
+<li><p>score_threshold: From which score to mark the recogniztion as trusted?</p></li>
+</ul>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">mlrun</span>
+<span class="n">artifact_path</span> <span class="o">=</span> <span class="s2">"./"</span>
+<span class="n">proj</span> <span class="o">=</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">get_or_create_project</span><span class="p">(</span><span class="s2">"pii"</span><span class="p">,</span> <span class="s2">"./"</span><span class="p">)</span>
+<span class="n">fn</span> <span class="o">=</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">code_to_function</span><span class="p">(</span>
+    <span class="n">project</span><span class="o">=</span><span class="s2">"pii"</span><span class="p">,</span>
+    <span class="n">name</span><span class="o">=</span><span class="s2">"pii_recognizer"</span><span class="p">,</span>
+    <span class="n">filename</span><span class="o">=</span><span class="s2">"pii_recognizer.py"</span><span class="p">,</span>
+    <span class="n">kind</span><span class="o">=</span><span class="s2">"job"</span><span class="p">,</span>
+    <span class="n">image</span><span class="o">=</span><span class="s2">"mlrun/mlrun"</span><span class="p">,</span>
+    <span class="n">handler</span><span class="o">=</span><span class="s2">"recognize_pii"</span><span class="p">,</span>
+    <span class="n">description</span><span class="o">=</span><span class="s2">"This function is used to recognize PII in a given text"</span><span class="p">,</span>
+<span class="p">)</span>
+<span class="n">run_obj</span> <span class="o">=</span> <span class="n">fn</span><span class="o">.</span><span class="n">run</span><span class="p">(</span>
+    <span class="n">artifact_path</span> <span class="o">=</span> <span class="n">artifact_path</span><span class="p">,</span>
+    <span class="n">params</span><span class="o">=</span> <span class="p">{</span>
+        <span class="s1">'model'</span><span class="p">:</span> <span class="s2">"whole"</span><span class="p">,</span> 
+        <span class="s1">'input_path'</span><span class="p">:</span> <span class="s2">"./data/"</span><span class="p">,</span>
+        <span class="s1">'output_path'</span><span class="p">:</span> <span class="s2">"./data/output1/"</span><span class="p">,</span>
+        <span class="s2">"entities"</span><span class="p">:</span> <span class="p">[</span><span class="s1">'PERSON'</span><span class="p">,</span> <span class="s2">"EMAIL"</span><span class="p">,</span> <span class="s2">"PHONE"</span><span class="p">,</span> <span class="s2">"LOCATION"</span><span class="p">,</span> <span class="s2">"ORGANIZATION"</span><span class="p">],</span> <span class="c1"># the entities that needs to recognize</span>
+        <span class="s2">"output_suffix"</span><span class="p">:</span> <span class="s2">"output"</span><span class="p">,</span>
+        <span class="s2">"html_key"</span><span class="p">:</span> <span class="s2">"highlighted"</span><span class="p">,</span>
+        <span class="s2">"score_threshold"</span> <span class="p">:</span> <span class="mf">0.5</span><span class="p">,</span> <span class="c1"># the score threshold to mark the recognition as trusted</span>
+    <span class="p">},</span>
+    <span class="n">returns</span> <span class="o">=</span> <span class="p">[</span><span class="s2">"output_path: path"</span><span class="p">,</span> <span class="s2">"rpt_json: file"</span><span class="p">,</span> <span class="s2">"errors: file"</span><span class="p">],</span>
+    <span class="n">local</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+<span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&gt; 2023-07-31 02:17:04,305 [info] Project loaded successfully: {'project_name': 'pii'}
+&gt; 2023-07-31 02:17:04,312 [warning] Failed to add git metadata, ignore if path is not part of a git repo.: {'path': './', 'error': '/User/pii_recognizer'}
+&gt; 2023-07-31 02:17:04,408 [warning] artifact/output path is not defined or is local and relative, artifacts will not be visible in the UI: {'output_path': './'}
+&gt; 2023-07-31 02:17:04,409 [info] Storing function: {'name': 'pii-recognizer-recognize-pii', 'uid': '51b5ad8144004e52a1008c08850842c8', 'db': None}
+2023-07-31 02:17:04,567 loading file /User/.flair/models/flair-pii-distilbert/models--beki--flair-pii-distilbert/snapshots/20fb59f1762edcf253bce67716a94a43cb075ae6/pytorch_model.bin
+2023-07-31 02:17:07,730 SequenceTagger predicts: Dictionary with 21 tags: O, S-LOC, B-LOC, E-LOC, I-LOC, S-PER, B-PER, E-PER, I-PER, S-DATE_TIME, B-DATE_TIME, E-DATE_TIME, I-DATE_TIME, S-ORG, B-ORG, E-ORG, I-ORG, S-NRP, B-NRP, E-NRP, I-NRP
+Model loaded
+</pre></div>
+</div>
+<script type="application/vnd.jupyter.widget-view+json">{"model_id": "fd09fd6ee2844e13b5839e1fd20ef222", "version_major": 2, "version_minor": 0}</script><div class="output text_html"><style>
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+}
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+  font-weight: 700;
+  float: right;
+  margin-top: -5px;
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+  border: 1px inset silver;
+  width: 40%;
+  min-height: 300px;
+  flex: 3
+  min-width: 500px;
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+  box-sizing: border-box;
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+</style><script>
+function copyToClipboard(fld) {
+    if (document.queryCommandSupported && document.queryCommandSupported('copy')) {
+        var textarea = document.createElement('textarea');
+        textarea.textContent = fld.innerHTML;
+        textarea.style.position = 'fixed';
+        document.body.appendChild(textarea);
+        textarea.select();
+
+        try {
+            return document.execCommand('copy'); // Security exception may be thrown by some browsers.
+        } catch (ex) {
+
+        } finally {
+            document.body.removeChild(textarea);
+        }
+    }
+}
+function expandPanel(el) {
+  const panelName = "#" + el.getAttribute('paneName');
+  console.log(el.title);
+
+  document.querySelector(panelName + "-title").innerHTML = el.title
+  iframe = document.querySelector(panelName + "-body");
+
+  const tblcss = `<style> body { font-family: Arial, Helvetica, sans-serif;}
+    #csv { margin-bottom: 15px; }
+    #csv table { border-collapse: collapse;}
+    #csv table td { padding: 4px 8px; border: 1px solid silver;} </style>`;
+
+  function csvToHtmlTable(str) {
+    return '<div id="csv"><table><tr><td>' +  str.replace(/[\n\r]+$/g, '').replace(/[\n\r]+/g, '</td></tr><tr><td>')
+      .replace(/,/g, '</td><td>') + '</td></tr></table></div>';
+  }
+
+  function reqListener () {
+    if (el.title.endsWith(".csv")) {
+      iframe.setAttribute("srcdoc", tblcss + csvToHtmlTable(this.responseText));
+    } else {
+      iframe.setAttribute("srcdoc", this.responseText);
+    }
+    console.log(this.responseText);
+  }
+
+  const oReq = new XMLHttpRequest();
+  oReq.addEventListener("load", reqListener);
+  oReq.open("GET", el.title);
+  oReq.send();
+
+
+  //iframe.src = el.title;
+  const resultPane = document.querySelector(panelName + "-pane");
+  if (resultPane.classList.contains("hidden")) {
+    resultPane.classList.remove("hidden");
+  }
+}
+function closePanel(el) {
+  const panelName = "#" + el.getAttribute('paneName')
+  const resultPane = document.querySelector(panelName + "-pane");
+  if (!resultPane.classList.contains("hidden")) {
+    resultPane.classList.add("hidden");
+  }
+}
+
+</script>
+<div class="master-wrapper">
+<div class="block master-tbl"><div>
+<style scoped="">
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+<thead>
+<tr style="text-align: right;">
+<th>project</th>
+<th>uid</th>
+<th>iter</th>
+<th>start</th>
+<th>state</th>
+<th>name</th>
+<th>labels</th>
+<th>inputs</th>
+<th>parameters</th>
+<th>results</th>
+<th>artifacts</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td>pii</td>
+<td><div title="51b5ad8144004e52a1008c08850842c8"><a href="https://dashboard.default-tenant.app.llm2.iguazio-cd0.com/mlprojects/pii/jobs/monitor/51b5ad8144004e52a1008c08850842c8/overview" target="_blank">...850842c8</a></div></td>
+<td>0</td>
+<td>Jul 31 02:17:04</td>
+<td>completed</td>
+<td>pii-recognizer-recognize-pii</td>
+<td><div class="dictlist">v3io_user=pengw</div><div class="dictlist">kind=</div><div class="dictlist">owner=pengw</div><div class="dictlist">host=jupyter-pengw-5f99fb678d-mnvxl</div></td>
+<td></td>
+<td><div class="dictlist">model=whole</div><div class="dictlist">input_path=./data/</div><div class="dictlist">output_path=./data/output1/</div><div class="dictlist">entities=['PERSON', 'EMAIL', 'PHONE', 'LOCATION', 'ORGANIZATION']</div><div class="dictlist">output_suffix=output</div><div class="dictlist">html_key=highlighted</div><div class="dictlist">score_threshold=0.5</div></td>
+<td></td>
+<td><div class="artifact" onclick="expandPanel(this)" panename="result3723389a" title="/files/pii_recognizer/pii-recognizer-recognize-pii/0/highlighted.html">highlighted</div><div title="/User/pii_recognizer/pii-recognizer-recognize-pii/0/output_path.zip">output_path</div><div class="artifact" onclick="expandPanel(this)" panename="result3723389a" title="/files/pii_recognizer/pii-recognizer-recognize-pii/0/rpt_json.json">rpt_json</div><div title="/User/pii_recognizer/pii-recognizer-recognize-pii/0/errors.npz">errors</div></td>
+</tr>
+</tbody>
+</table>
+</div></div>
+<div class="right-pane block hidden" id="result3723389a-pane">
+<div class="pane-header">
+<span class="pane-header-title" id="result3723389a-title">Title</span>
+<span class="close clickable" onclick="closePanel(this)" panename="result3723389a">×</span>
+</div>
+<iframe class="fileview" id="result3723389a-body"></iframe>
+</div>
+</div>
+</div><div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+<div class="output text_html"><b> &gt; to track results use the .show() or .logs() methods  or <a href="https://dashboard.default-tenant.app.llm2.iguazio-cd0.com/mlprojects/pii/jobs/monitor/51b5ad8144004e52a1008c08850842c8/overview" target="_blank">click here</a> to open in UI</b></div><div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&gt; 2023-07-31 02:17:12,403 [info] Run execution finished: {'status': 'completed', 'name': 'pii-recognizer-recognize-pii'}
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1">#get the mlrun context</span>
+<span class="n">context</span> <span class="o">=</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">get_or_create_ctx</span><span class="p">(</span><span class="s1">'pii_ctx1'</span><span class="p">)</span>
+<span class="kn">import</span> <span class="nn">pathlib</span>
+<span class="kn">from</span> <span class="nn">tqdm.auto</span> <span class="kn">import</span> <span class="n">tqdm</span>
+<span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">txt_file</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span>
+        <span class="n">tqdm</span><span class="p">(</span>
+            <span class="nb">list</span><span class="p">(</span><span class="n">pathlib</span><span class="o">.</span><span class="n">Path</span><span class="p">(</span><span class="s2">"./data/output1/"</span><span class="p">)</span><span class="o">.</span><span class="n">glob</span><span class="p">(</span><span class="s2">"*.txt"</span><span class="p">)),</span>
+            <span class="n">desc</span><span class="o">=</span><span class="s2">"Processing files"</span><span class="p">,</span>
+            <span class="n">unit</span><span class="o">=</span><span class="s2">"file"</span><span class="p">,</span>
+        <span class="p">)</span>
+    <span class="p">):</span>
+            <span class="c1"># Load the str from the text file</span>
+        <span class="n">text</span> <span class="o">=</span> <span class="n">txt_file</span><span class="o">.</span><span class="n">read_text</span><span class="p">()</span>
+        <span class="nb">print</span><span class="p">(</span><span class="n">text</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<script type="application/vnd.jupyter.widget-view+json">{"model_id": "c23dc77030224dfc825d7da86c6c1220", "version_major": 2, "version_minor": 0}</script><div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Dear Mr. &lt;PERSON&gt;,
+
+We are pleased to inform you that you have been selected as the winner of our exclusive vacation package giveaway! Congratulations! You, along with your family, will enjoy a luxurious stay at our resort in the beautiful city of &lt;ORGANIZATION&gt;. Your flight tickets have been booked, and you will be departing on July 15th, 2023.
+
+Please provide us with the necessary details to finalize your travel arrangements. We kindly request your full name, date of birth, passport number, and contact information. Rest assured that all provided information will be handled with utmost confidentiality and in compliance with data protection regulations.
+
+We look forward to creating unforgettable memories for you and your loved ones during your stay with us. If you have any questions or require further assistance, please don't hesitate to contact our customer support team.
+
+&lt;PERSON&gt; &lt;ORGANIZATION&gt; is 182838483, connect him with &lt;EMAIL&gt; or &lt;PHONE&gt;, he can pay you with &lt;PHONE&gt;9393
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1">#check the highlighted html </span>
+<span class="n">html_output</span> <span class="o">=</span> <span class="n">context</span><span class="o">.</span><span class="n">get_cached_artifact</span><span class="p">(</span><span class="s2">"highlighted"</span><span class="p">)</span>
+<span class="n">html_str</span> <span class="o">=</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">get_dataitem</span><span class="p">(</span><span class="n">html_output</span><span class="o">.</span><span class="n">get_target_path</span><span class="p">())</span><span class="o">.</span><span class="n">get</span><span class="p">()</span><span class="o">.</span><span class="n">decode</span><span class="p">(</span><span class="s2">"utf-8"</span><span class="p">)</span>
+<span class="kn">from</span> <span class="nn">IPython.core.display</span> <span class="kn">import</span> <span class="n">display</span><span class="p">,</span> <span class="n">HTML</span>
+<span class="n">display</span><span class="p">(</span><span class="n">HTML</span><span class="p">(</span><span class="n">html_str</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_html"><html><head><title>Highlighted Pii Entities</title></head><body><h1>Highlighted Pii Entities</h1><ul><li><a href="#data/letter.txt">data/letter.txt</a></li><li><a href="#data/pii_data.txt">data/pii_data.txt</a></li></ul><li><h2>data/letter.txt</h2><p><p><span>Dear Mr. <span style="display:inline-flex;flex-direction:row;align-items:center;background:#21c35466;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1">John Doe<span style="border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch"></span><span style="margin-left:0.5rem;font-size:0.75rem;opacity:0.5">PERSON</span></span>,
+
+We are pleased to inform you that you have been selected as the winner of our exclusive vacation package giveaway! Congratulations! You, along with your family, will enjoy a luxurious stay at our resort in the beautiful city of <span style="display:inline-flex;flex-direction:row;align-items:center;background:#803df566;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1">Riviera<span style="border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch"></span><span style="margin-left:0.5rem;font-size:0.75rem;opacity:0.5">LOCATION</span></span><span style="display:inline-flex;flex-direction:row;align-items:center;background:#80849566;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1">Riviera<span style="border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch"></span><span style="margin-left:0.5rem;font-size:0.75rem;opacity:0.5">ORGANIZATION</span></span>. Your flight tickets have been booked, and you will be departing on July 15th, 2023.
+
+Please provide us with the necessary details to finalize your travel arrangements. We kindly request your full name, date of birth, passport number, and contact information. Rest assured that all provided information will be handled with utmost confidentiality and in compliance with data protection regulations.
+
+We look forward to creating unforgettable memories for you and your loved ones during your stay with us. If you have any questions or require further assistance, please don't hesitate to contact our customer support team.
+</span></p></p></li><li><h2>data/pii_data.txt</h2><p><p><span><span style="display:inline-flex;flex-direction:row;align-items:center;background:#21c35466;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1">John smith's<span style="border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch"></span><span style="margin-left:0.5rem;font-size:0.75rem;opacity:0.5">PERSON</span></span> <span style="display:inline-flex;flex-direction:row;align-items:center;background:#80849566;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1">ssn<span style="border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch"></span><span style="margin-left:0.5rem;font-size:0.75rem;opacity:0.5">ORGANIZATION</span></span> is 182838483, connect him with <span style="display:inline-flex;flex-direction:row;align-items:center;background:#21c35466;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1">John<span style="border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch"></span><span style="margin-left:0.5rem;font-size:0.75rem;opacity:0.5">PERSON</span></span><span style="display:inline-flex;flex-direction:row;align-items:center;background:#ff4b4b33;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1">John_smith@gmail.com<span style="border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch"></span><span style="margin-left:0.5rem;font-size:0.75rem;opacity:0.5">EMAIL</span></span><span style="display:inline-flex;flex-direction:row;align-items:center;background:#21c35466;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1">smith<span style="border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch"></span><span style="margin-left:0.5rem;font-size:0.75rem;opacity:0.5">PERSON</span></span>@gmail.com or <span style="display:inline-flex;flex-direction:row;align-items:center;background:#ff4b4b33;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1">6288389029<span style="border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch"></span><span style="margin-left:0.5rem;font-size:0.75rem;opacity:0.5">PHONE</span></span>, he can pay you with <span style="display:inline-flex;flex-direction:row;align-items:center;background:#ff4b4b33;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1">4148292993<span style="border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch"></span><span style="margin-left:0.5rem;font-size:0.75rem;opacity:0.5">PHONE</span></span>9393</span></p></p></li></body></html></div></div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1">#check the json report about the explanation.</span>
+<span class="n">rpt_output1</span> <span class="o">=</span> <span class="n">context</span><span class="o">.</span><span class="n">get_cached_artifact</span><span class="p">(</span><span class="s2">"rpt_json"</span><span class="p">)</span>
+<span class="n">rpt_str1</span> <span class="o">=</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">get_dataitem</span><span class="p">(</span><span class="n">rpt_output1</span><span class="o">.</span><span class="n">get_target_path</span><span class="p">())</span><span class="o">.</span><span class="n">get</span><span class="p">()</span><span class="o">.</span><span class="n">decode</span><span class="p">(</span><span class="s2">"utf-8"</span><span class="p">)</span>
+<span class="kn">import</span> <span class="nn">json</span>
+<span class="n">obj</span> <span class="o">=</span> <span class="n">json</span><span class="o">.</span><span class="n">loads</span><span class="p">(</span><span class="n">rpt_str1</span><span class="p">)</span>
+ 
+<span class="c1"># Pretty Print JSON</span>
+<span class="n">json_formatted_str1</span> <span class="o">=</span> <span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">obj</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json_formatted_str1</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>{
+    "data/letter.txt": [
+        {
+            "entity_type": "PERSON",
+            "start": 9,
+            "end": 17,
+            "score": 1,
+            "analysis_explanation": {
+                "recognizer": "CustomSpacyRecognizer",
+                "pattern_name": null,
+                "pattern": null,
+                "original_score": 1,
+                "score": 1,
+                "textual_explanation": "Identified as PERSON by Spacy's Named Entity Recognition (Privy-trained)",
+                "score_context_improvement": 0,
+                "supportive_context_word": "",
+                "validation_result": null
+            },
+            "recognition_metadata": {
+                "recognizer_name": "CustomSpacyRecognizer",
+                "recognizer_identifier": "CustomSpacyRecognizer_139944219101744"
+            }
+        },
+        {
+            "entity_type": "LOCATION",
+            "start": 248,
+            "end": 255,
+            "score": 1.0,
+            "analysis_explanation": {
+                "recognizer": "FlairRecognizer",
+                "pattern_name": null,
+                "pattern": null,
+                "original_score": 1.0,
+                "score": 1.0,
+                "textual_explanation": "Identified as LOC by Flair's Named Entity Recognition",
+                "score_context_improvement": 0,
+                "supportive_context_word": "",
+                "validation_result": null
+            },
+            "recognition_metadata": {
+                "recognizer_identifier": "Flair Analytics_139944219101936",
+                "recognizer_name": "Flair Analytics"
+            }
+        },
+        {
+            "entity_type": "ORGANIZATION",
+            "start": 248,
+            "end": 255,
+            "score": 1,
+            "analysis_explanation": {
+                "recognizer": "CustomSpacyRecognizer",
+                "pattern_name": null,
+                "pattern": null,
+                "original_score": 1,
+                "score": 1,
+                "textual_explanation": "Identified as ORG by Spacy's Named Entity Recognition (Privy-trained)",
+                "score_context_improvement": 0,
+                "supportive_context_word": "",
+                "validation_result": null
+            },
+            "recognition_metadata": {
+                "recognizer_name": "CustomSpacyRecognizer",
+                "recognizer_identifier": "CustomSpacyRecognizer_139944219101744"
+            }
+        }
+    ],
+    "data/pii_data.txt": [
+        {
+            "entity_type": "PERSON",
+            "start": 0,
+            "end": 12,
+            "score": 1,
+            "analysis_explanation": {
+                "recognizer": "CustomSpacyRecognizer",
+                "pattern_name": null,
+                "pattern": null,
+                "original_score": 1,
+                "score": 1,
+                "textual_explanation": "Identified as PERSON by Spacy's Named Entity Recognition (Privy-trained)",
+                "score_context_improvement": 0,
+                "supportive_context_word": "",
+                "validation_result": null
+            },
+            "recognition_metadata": {
+                "recognizer_name": "CustomSpacyRecognizer",
+                "recognizer_identifier": "CustomSpacyRecognizer_139944219101744"
+            }
+        },
+        {
+            "entity_type": "ORGANIZATION",
+            "start": 13,
+            "end": 16,
+            "score": 1,
+            "analysis_explanation": {
+                "recognizer": "CustomSpacyRecognizer",
+                "pattern_name": null,
+                "pattern": null,
+                "original_score": 1,
+                "score": 1,
+                "textual_explanation": "Identified as ORG by Spacy's Named Entity Recognition (Privy-trained)",
+                "score_context_improvement": 0,
+                "supportive_context_word": "",
+                "validation_result": null
+            },
+            "recognition_metadata": {
+                "recognizer_name": "CustomSpacyRecognizer",
+                "recognizer_identifier": "CustomSpacyRecognizer_139944219101744"
+            }
+        },
+        {
+            "entity_type": "PERSON",
+            "start": 53,
+            "end": 58,
+            "score": 1.0,
+            "analysis_explanation": {
+                "recognizer": "FlairRecognizer",
+                "pattern_name": null,
+                "pattern": null,
+                "original_score": 1.0,
+                "score": 1.0,
+                "textual_explanation": "Identified as PER by Flair's Named Entity Recognition",
+                "score_context_improvement": 0,
+                "supportive_context_word": "",
+                "validation_result": null
+            },
+            "recognition_metadata": {
+                "recognizer_identifier": "Flair Analytics_139944219101936",
+                "recognizer_name": "Flair Analytics"
+            }
+        },
+        {
+            "entity_type": "PERSON",
+            "start": 48,
+            "end": 52,
+            "score": 0.87,
+            "analysis_explanation": {
+                "recognizer": "FlairRecognizer",
+                "pattern_name": null,
+                "pattern": null,
+                "original_score": 0.87,
+                "score": 0.87,
+                "textual_explanation": "Identified as PER by Flair's Named Entity Recognition",
+                "score_context_improvement": 0,
+                "supportive_context_word": "",
+                "validation_result": null
+            },
+            "recognition_metadata": {
+                "recognizer_identifier": "Flair Analytics_139944219101936",
+                "recognizer_name": "Flair Analytics"
+            }
+        },
+        {
+            "entity_type": "EMAIL",
+            "start": 48,
+            "end": 68,
+            "score": 0.5,
+            "analysis_explanation": {
+                "recognizer": "PatternRecognizer",
+                "pattern_name": "EMAIL",
+                "pattern": "\\S+@\\S+",
+                "original_score": 0.5,
+                "score": 0.5,
+                "textual_explanation": null,
+                "score_context_improvement": 0,
+                "supportive_context_word": "",
+                "validation_result": null
+            },
+            "recognition_metadata": {
+                "recognizer_name": "PatternRecognizer",
+                "recognizer_identifier": "PatternRecognizer_139944352474640"
+            }
+        },
+        {
+            "entity_type": "PHONE",
+            "start": 72,
+            "end": 82,
+            "score": 0.5,
+            "analysis_explanation": {
+                "recognizer": "PatternRecognizer",
+                "pattern_name": "PHONE",
+                "pattern": "\\(?\\d{3}\\)?[-.\\s]?\\d{3}[-.\\s]?\\d{4}",
+                "original_score": 0.5,
+                "score": 0.5,
+                "textual_explanation": null,
+                "score_context_improvement": 0,
+                "supportive_context_word": "",
+                "validation_result": null
+            },
+            "recognition_metadata": {
+                "recognizer_name": "PatternRecognizer",
+                "recognizer_identifier": "PatternRecognizer_139944352476560"
+            }
+        },
+        {
+            "entity_type": "PHONE",
+            "start": 104,
+            "end": 114,
+            "score": 0.5,
+            "analysis_explanation": {
+                "recognizer": "PatternRecognizer",
+                "pattern_name": "PHONE",
+                "pattern": "\\(?\\d{3}\\)?[-.\\s]?\\d{3}[-.\\s]?\\d{4}",
+                "original_score": 0.5,
+                "score": 0.5,
+                "textual_explanation": null,
+                "score_context_improvement": 0,
+                "supportive_context_word": "",
+                "validation_result": null
+            },
+            "recognition_metadata": {
+                "recognizer_name": "PatternRecognizer",
+                "recognizer_identifier": "PatternRecognizer_139944352476560"
+            }
+        }
+    ]
+}
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="masking-configurations">
+<h3>3.2. Masking configurations<a class="headerlink" href="#masking-configurations" title="Permalink to this headline">#</a></h3>
+<ul class="simple">
+<li><p>entity_operator_map: it defined what to do with recognized tokens? Mask them? mask them with what? remove them? replace them?</p></li>
+</ul>
+<pre>
+     entity_operator_map = {
+        "PERSON": ("keep", {}),
+        "EMAIL": ("mask", {"masking_char": "😀", "chars_to_mask": 5, "from_end": False}),
+        "PHONE": ("hash", {}),
+        "LOCATION": ("redact", {}),
+        "ORGANIZATION": ("replace", {"new_value": "Company XYZ"})
+        }
+     </pre><div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">mlrun</span>
+<span class="n">artifact_path</span> <span class="o">=</span> <span class="s2">"./"</span>
+<span class="n">proj</span> <span class="o">=</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">get_or_create_project</span><span class="p">(</span><span class="s2">"pii"</span><span class="p">,</span> <span class="s2">"./"</span><span class="p">)</span>
+<span class="n">fn</span> <span class="o">=</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">code_to_function</span><span class="p">(</span>
+    <span class="n">project</span><span class="o">=</span><span class="s2">"pii"</span><span class="p">,</span>
+    <span class="n">name</span><span class="o">=</span><span class="s2">"pii_recognizer"</span><span class="p">,</span>
+    <span class="n">filename</span><span class="o">=</span><span class="s2">"pii_recognizer.py"</span><span class="p">,</span>
+    <span class="n">kind</span><span class="o">=</span><span class="s2">"job"</span><span class="p">,</span>
+    <span class="n">image</span><span class="o">=</span><span class="s2">"mlrun/mlrun"</span><span class="p">,</span>
+    <span class="n">handler</span><span class="o">=</span><span class="s2">"recognize_pii"</span><span class="p">,</span>
+    <span class="n">description</span><span class="o">=</span><span class="s2">"This function is used to recognize PII in a given text"</span><span class="p">,</span>
+<span class="p">)</span>
+
+<span class="n">entity_operator_map</span> <span class="o">=</span> <span class="p">{</span>
+        <span class="s2">"PERSON"</span><span class="p">:</span> <span class="p">(</span><span class="s2">"keep"</span><span class="p">,</span> <span class="p">{}),</span>
+        <span class="s2">"EMAIL"</span><span class="p">:</span> <span class="p">(</span><span class="s2">"mask"</span><span class="p">,</span> <span class="p">{</span><span class="s2">"masking_char"</span><span class="p">:</span> <span class="s2">"😀"</span><span class="p">,</span> <span class="s2">"chars_to_mask"</span> <span class="p">:</span> <span class="mi">100</span><span class="p">,</span> <span class="s2">"from_end"</span><span class="p">:</span> <span class="kc">False</span><span class="p">}),</span>
+        <span class="s2">"PHONE"</span><span class="p">:</span> <span class="p">(</span><span class="s2">"hash"</span><span class="p">,</span> <span class="p">{}),</span>
+        <span class="s2">"LOCATION"</span><span class="p">:</span> <span class="p">(</span><span class="s2">"redact"</span><span class="p">,</span> <span class="p">{}),</span>
+        <span class="s2">"ORGANIZATION"</span><span class="p">:</span> <span class="p">(</span><span class="s2">"replace"</span><span class="p">,</span> <span class="p">{</span><span class="s2">"new_value"</span><span class="p">:</span> <span class="s2">"Company XYZ"</span><span class="p">})</span>
+        <span class="p">}</span>
+<span class="n">run_obj</span> <span class="o">=</span> <span class="n">fn</span><span class="o">.</span><span class="n">run</span><span class="p">(</span>
+    <span class="n">artifact_path</span> <span class="o">=</span> <span class="n">artifact_path</span><span class="p">,</span>
+    <span class="n">params</span><span class="o">=</span> <span class="p">{</span>
+        <span class="s1">'model'</span><span class="p">:</span> <span class="s2">"whole"</span><span class="p">,</span> 
+        <span class="s1">'input_path'</span><span class="p">:</span> <span class="s2">"./data/"</span><span class="p">,</span>
+        <span class="s1">'output_path'</span><span class="p">:</span> <span class="s2">"./data/output2/"</span><span class="p">,</span>
+        <span class="s2">"entities"</span><span class="p">:</span> <span class="p">[</span><span class="s1">'PERSON'</span><span class="p">,</span> <span class="s2">"EMAIL"</span><span class="p">,</span> <span class="s2">"PHONE"</span><span class="p">,</span> <span class="s2">"LOCATION"</span><span class="p">,</span> <span class="s2">"ORGANIZATION"</span><span class="p">],</span>
+        <span class="s2">"output_suffix"</span><span class="p">:</span> <span class="s2">"output"</span><span class="p">,</span>
+        <span class="s2">"html_key"</span><span class="p">:</span> <span class="s2">"highlighted"</span><span class="p">,</span>
+        <span class="s2">"score_threshold"</span> <span class="p">:</span> <span class="mf">0.5</span><span class="p">,</span>
+        <span class="s2">"entity_operator_map"</span><span class="p">:</span> <span class="n">entity_operator_map</span><span class="p">,</span>
+        
+    <span class="p">},</span>
+    <span class="n">returns</span> <span class="o">=</span> <span class="p">[</span><span class="s2">"output_path: path"</span><span class="p">,</span> <span class="s2">"rpt_json: file"</span><span class="p">,</span> <span class="s2">"errors: file"</span><span class="p">],</span>
+    <span class="n">local</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+<span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&gt; 2023-07-31 02:20:40,550 [info] Project loaded successfully: {'project_name': 'pii'}
+&gt; 2023-07-31 02:20:40,556 [warning] Failed to add git metadata, ignore if path is not part of a git repo.: {'path': './', 'error': '/User/pii_recognizer'}
+&gt; 2023-07-31 02:20:40,649 [warning] artifact/output path is not defined or is local and relative, artifacts will not be visible in the UI: {'output_path': './'}
+&gt; 2023-07-31 02:20:40,649 [info] Storing function: {'name': 'pii-recognizer-recognize-pii', 'uid': '2b43f80c7ca44b43b229760bb55f814d', 'db': None}
+2023-07-31 02:20:40,812 loading file /User/.flair/models/flair-pii-distilbert/models--beki--flair-pii-distilbert/snapshots/20fb59f1762edcf253bce67716a94a43cb075ae6/pytorch_model.bin
+2023-07-31 02:20:44,130 SequenceTagger predicts: Dictionary with 21 tags: O, S-LOC, B-LOC, E-LOC, I-LOC, S-PER, B-PER, E-PER, I-PER, S-DATE_TIME, B-DATE_TIME, E-DATE_TIME, I-DATE_TIME, S-ORG, B-ORG, E-ORG, I-ORG, S-NRP, B-NRP, E-NRP, I-NRP
+Model loaded
+</pre></div>
+</div>
+<script type="application/vnd.jupyter.widget-view+json">{"model_id": "5ad56413aad64e59b177666ca0a89a01", "version_major": 2, "version_minor": 0}</script><div class="output text_html"><style>
+.dictlist {
+  background-color: #4EC64B;
+  text-align: center;
+  margin: 4px;
+  border-radius: 3px; padding: 0px 3px 1px 3px; display: inline-block;}
+.artifact {
+  cursor: pointer;
+  background-color: #4EC64B;
+  text-align: left;
+  margin: 4px; border-radius: 3px; padding: 0px 3px 1px 3px; display: inline-block;
+}
+div.block.hidden {
+  display: none;
+}
+.clickable {
+  cursor: pointer;
+}
+.ellipsis {
+  display: inline-block;
+  max-width: 60px;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+}
+.master-wrapper {
+  display: flex;
+  flex-flow: row nowrap;
+  justify-content: flex-start;
+  align-items: stretch;
+}
+.master-tbl {
+  flex: 3
+}
+.master-wrapper > div {
+  margin: 4px;
+  padding: 10px;
+}
+iframe.fileview {
+  border: 0 none;
+  height: 100%;
+  width: 100%;
+  white-space: pre-wrap;
+}
+.pane-header-title {
+  width: 80%;
+  font-weight: 500;
+}
+.pane-header {
+  line-height: 1;
+  background-color: #4EC64B;
+  padding: 3px;
+}
+.pane-header .close {
+  font-size: 20px;
+  font-weight: 700;
+  float: right;
+  margin-top: -5px;
+}
+.master-wrapper .right-pane {
+  border: 1px inset silver;
+  width: 40%;
+  min-height: 300px;
+  flex: 3
+  min-width: 500px;
+}
+.master-wrapper * {
+  box-sizing: border-box;
+}
+</style><script>
+function copyToClipboard(fld) {
+    if (document.queryCommandSupported && document.queryCommandSupported('copy')) {
+        var textarea = document.createElement('textarea');
+        textarea.textContent = fld.innerHTML;
+        textarea.style.position = 'fixed';
+        document.body.appendChild(textarea);
+        textarea.select();
+
+        try {
+            return document.execCommand('copy'); // Security exception may be thrown by some browsers.
+        } catch (ex) {
+
+        } finally {
+            document.body.removeChild(textarea);
+        }
+    }
+}
+function expandPanel(el) {
+  const panelName = "#" + el.getAttribute('paneName');
+  console.log(el.title);
+
+  document.querySelector(panelName + "-title").innerHTML = el.title
+  iframe = document.querySelector(panelName + "-body");
+
+  const tblcss = `<style> body { font-family: Arial, Helvetica, sans-serif;}
+    #csv { margin-bottom: 15px; }
+    #csv table { border-collapse: collapse;}
+    #csv table td { padding: 4px 8px; border: 1px solid silver;} </style>`;
+
+  function csvToHtmlTable(str) {
+    return '<div id="csv"><table><tr><td>' +  str.replace(/[\n\r]+$/g, '').replace(/[\n\r]+/g, '</td></tr><tr><td>')
+      .replace(/,/g, '</td><td>') + '</td></tr></table></div>';
+  }
+
+  function reqListener () {
+    if (el.title.endsWith(".csv")) {
+      iframe.setAttribute("srcdoc", tblcss + csvToHtmlTable(this.responseText));
+    } else {
+      iframe.setAttribute("srcdoc", this.responseText);
+    }
+    console.log(this.responseText);
+  }
+
+  const oReq = new XMLHttpRequest();
+  oReq.addEventListener("load", reqListener);
+  oReq.open("GET", el.title);
+  oReq.send();
+
+
+  //iframe.src = el.title;
+  const resultPane = document.querySelector(panelName + "-pane");
+  if (resultPane.classList.contains("hidden")) {
+    resultPane.classList.remove("hidden");
+  }
+}
+function closePanel(el) {
+  const panelName = "#" + el.getAttribute('paneName')
+  const resultPane = document.querySelector(panelName + "-pane");
+  if (!resultPane.classList.contains("hidden")) {
+    resultPane.classList.add("hidden");
+  }
+}
+
+</script>
+<div class="master-wrapper">
+<div class="block master-tbl"><div>
+<style scoped="">
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+<thead>
+<tr style="text-align: right;">
+<th>project</th>
+<th>uid</th>
+<th>iter</th>
+<th>start</th>
+<th>state</th>
+<th>name</th>
+<th>labels</th>
+<th>inputs</th>
+<th>parameters</th>
+<th>results</th>
+<th>artifacts</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td>pii</td>
+<td><div title="2b43f80c7ca44b43b229760bb55f814d"><a href="https://dashboard.default-tenant.app.llm2.iguazio-cd0.com/mlprojects/pii/jobs/monitor/2b43f80c7ca44b43b229760bb55f814d/overview" target="_blank">...b55f814d</a></div></td>
+<td>0</td>
+<td>Jul 31 02:20:40</td>
+<td>completed</td>
+<td>pii-recognizer-recognize-pii</td>
+<td><div class="dictlist">v3io_user=pengw</div><div class="dictlist">kind=</div><div class="dictlist">owner=pengw</div><div class="dictlist">host=jupyter-pengw-5f99fb678d-mnvxl</div></td>
+<td></td>
+<td><div class="dictlist">model=whole</div><div class="dictlist">input_path=./data/</div><div class="dictlist">output_path=./data/output2/</div><div class="dictlist">entities=['PERSON', 'EMAIL', 'PHONE', 'LOCATION', 'ORGANIZATION']</div><div class="dictlist">output_suffix=output</div><div class="dictlist">html_key=highlighted</div><div class="dictlist">score_threshold=0.5</div><div class="dictlist">entity_operator_map={'PERSON': ('keep', {}), 'EMAIL': ('mask', {'masking_char': '😀', 'chars_to_mask': 100, 'from_end': False, 'entity_type': 'EMAIL'}), 'PHONE': ('hash', {}), 'LOCATION': ('redact', {}), 'ORGANIZATION': ('replace', {'new_value': 'Company XYZ', 'entity_type': 'ORGANIZATION'})}</div></td>
+<td></td>
+<td><div class="artifact" onclick="expandPanel(this)" panename="result0751a876" title="/files/pii_recognizer/pii-recognizer-recognize-pii/0/highlighted.html">highlighted</div><div title="/User/pii_recognizer/pii-recognizer-recognize-pii/0/output_path.zip">output_path</div><div class="artifact" onclick="expandPanel(this)" panename="result0751a876" title="/files/pii_recognizer/pii-recognizer-recognize-pii/0/rpt_json.json">rpt_json</div><div title="/User/pii_recognizer/pii-recognizer-recognize-pii/0/errors.npz">errors</div></td>
+</tr>
+</tbody>
+</table>
+</div></div>
+<div class="right-pane block hidden" id="result0751a876-pane">
+<div class="pane-header">
+<span class="pane-header-title" id="result0751a876-title">Title</span>
+<span class="close clickable" onclick="closePanel(this)" panename="result0751a876">×</span>
+</div>
+<iframe class="fileview" id="result0751a876-body"></iframe>
+</div>
+</div>
+</div><div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+<div class="output text_html"><b> &gt; to track results use the .show() or .logs() methods  or <a href="https://dashboard.default-tenant.app.llm2.iguazio-cd0.com/mlprojects/pii/jobs/monitor/2b43f80c7ca44b43b229760bb55f814d/overview" target="_blank">click here</a> to open in UI</b></div><div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&gt; 2023-07-31 02:20:48,903 [info] Run execution finished: {'status': 'completed', 'name': 'pii-recognizer-recognize-pii'}
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1">#get the mlrun context</span>
+<span class="n">context</span> <span class="o">=</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">get_or_create_ctx</span><span class="p">(</span><span class="s1">'pii_ctx1'</span><span class="p">)</span>
+<span class="kn">import</span> <span class="nn">pathlib</span>
+<span class="kn">from</span> <span class="nn">tqdm.auto</span> <span class="kn">import</span> <span class="n">tqdm</span>
+<span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">txt_file</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span>
+        <span class="n">tqdm</span><span class="p">(</span>
+            <span class="nb">list</span><span class="p">(</span><span class="n">pathlib</span><span class="o">.</span><span class="n">Path</span><span class="p">(</span><span class="s2">"./data/output2/"</span><span class="p">)</span><span class="o">.</span><span class="n">glob</span><span class="p">(</span><span class="s2">"*.txt"</span><span class="p">)),</span>
+            <span class="n">desc</span><span class="o">=</span><span class="s2">"Processing files"</span><span class="p">,</span>
+            <span class="n">unit</span><span class="o">=</span><span class="s2">"file"</span><span class="p">,</span>
+        <span class="p">)</span>
+    <span class="p">):</span>
+            <span class="c1"># Load the str from the text file</span>
+        <span class="n">text</span> <span class="o">=</span> <span class="n">txt_file</span><span class="o">.</span><span class="n">read_text</span><span class="p">()</span>
+        <span class="nb">print</span><span class="p">(</span><span class="n">text</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<script type="application/vnd.jupyter.widget-view+json">{"model_id": "552ad96fd23e497ea6e547936c7853a0", "version_major": 2, "version_minor": 0}</script><div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Dear Mr. John Doe,
+
+We are pleased to inform you that you have been selected as the winner of our exclusive vacation package giveaway! Congratulations! You, along with your family, will enjoy a luxurious stay at our resort in the beautiful city of Company XYZ. Your flight tickets have been booked, and you will be departing on July 15th, 2023.
+
+Please provide us with the necessary details to finalize your travel arrangements. We kindly request your full name, date of birth, passport number, and contact information. Rest assured that all provided information will be handled with utmost confidentiality and in compliance with data protection regulations.
+
+We look forward to creating unforgettable memories for you and your loved ones during your stay with us. If you have any questions or require further assistance, please don't hesitate to contact our customer support team.
+
+John smith's Company XYZ is 182838483, connect him with 😀😀😀😀😀😀😀😀😀😀😀😀😀😀😀😀😀😀😀😀 or 3990096a212e92850c3b3c8e57ab398252d482444a32def6b030cbac2d51efa3, he can pay you with a6983d9477e93eab115305afd124bd096699e6cb7d2ce72ec6e29a6378a4e8059393
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1">#check the highlighted html </span>
+<span class="n">html_output</span> <span class="o">=</span> <span class="n">context</span><span class="o">.</span><span class="n">get_cached_artifact</span><span class="p">(</span><span class="s2">"highlighted"</span><span class="p">)</span>
+<span class="n">html_str</span> <span class="o">=</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">get_dataitem</span><span class="p">(</span><span class="n">html_output</span><span class="o">.</span><span class="n">get_target_path</span><span class="p">())</span><span class="o">.</span><span class="n">get</span><span class="p">()</span><span class="o">.</span><span class="n">decode</span><span class="p">(</span><span class="s2">"utf-8"</span><span class="p">)</span>
+<span class="kn">from</span> <span class="nn">IPython.core.display</span> <span class="kn">import</span> <span class="n">display</span><span class="p">,</span> <span class="n">HTML</span>
+<span class="n">display</span><span class="p">(</span><span class="n">HTML</span><span class="p">(</span><span class="n">html_str</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_html"><html><head><title>Highlighted Pii Entities</title></head><body><h1>Highlighted Pii Entities</h1><ul><li><a href="#data/letter.txt">data/letter.txt</a></li><li><a href="#data/pii_data.txt">data/pii_data.txt</a></li></ul><li><h2>data/letter.txt</h2><p><p><span>Dear Mr. <span style="display:inline-flex;flex-direction:row;align-items:center;background:#21c35466;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1">John Doe<span style="border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch"></span><span style="margin-left:0.5rem;font-size:0.75rem;opacity:0.5">PERSON</span></span>,
+
+We are pleased to inform you that you have been selected as the winner of our exclusive vacation package giveaway! Congratulations! You, along with your family, will enjoy a luxurious stay at our resort in the beautiful city of <span style="display:inline-flex;flex-direction:row;align-items:center;background:#803df566;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1">Riviera<span style="border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch"></span><span style="margin-left:0.5rem;font-size:0.75rem;opacity:0.5">LOCATION</span></span><span style="display:inline-flex;flex-direction:row;align-items:center;background:#80849566;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1">Riviera<span style="border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch"></span><span style="margin-left:0.5rem;font-size:0.75rem;opacity:0.5">ORGANIZATION</span></span>. Your flight tickets have been booked, and you will be departing on July 15th, 2023.
+
+Please provide us with the necessary details to finalize your travel arrangements. We kindly request your full name, date of birth, passport number, and contact information. Rest assured that all provided information will be handled with utmost confidentiality and in compliance with data protection regulations.
+
+We look forward to creating unforgettable memories for you and your loved ones during your stay with us. If you have any questions or require further assistance, please don't hesitate to contact our customer support team.
+</span></p></p></li><li><h2>data/pii_data.txt</h2><p><p><span><span style="display:inline-flex;flex-direction:row;align-items:center;background:#21c35466;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1">John smith's<span style="border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch"></span><span style="margin-left:0.5rem;font-size:0.75rem;opacity:0.5">PERSON</span></span> <span style="display:inline-flex;flex-direction:row;align-items:center;background:#80849566;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1">ssn<span style="border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch"></span><span style="margin-left:0.5rem;font-size:0.75rem;opacity:0.5">ORGANIZATION</span></span> is 182838483, connect him with <span style="display:inline-flex;flex-direction:row;align-items:center;background:#21c35466;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1">John<span style="border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch"></span><span style="margin-left:0.5rem;font-size:0.75rem;opacity:0.5">PERSON</span></span><span style="display:inline-flex;flex-direction:row;align-items:center;background:#ff4b4b33;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1">John_smith@gmail.com<span style="border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch"></span><span style="margin-left:0.5rem;font-size:0.75rem;opacity:0.5">EMAIL</span></span><span style="display:inline-flex;flex-direction:row;align-items:center;background:#21c35466;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1">smith<span style="border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch"></span><span style="margin-left:0.5rem;font-size:0.75rem;opacity:0.5">PERSON</span></span>@gmail.com or <span style="display:inline-flex;flex-direction:row;align-items:center;background:#ff4b4b33;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1">6288389029<span style="border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch"></span><span style="margin-left:0.5rem;font-size:0.75rem;opacity:0.5">PHONE</span></span>, he can pay you with <span style="display:inline-flex;flex-direction:row;align-items:center;background:#ff4b4b33;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1">4148292993<span style="border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch"></span><span style="margin-left:0.5rem;font-size:0.75rem;opacity:0.5">PHONE</span></span>9393</span></p></p></li></body></html></div></div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1">#check the json report about the explanation.</span>
+<span class="n">rpt_output1</span> <span class="o">=</span> <span class="n">context</span><span class="o">.</span><span class="n">get_cached_artifact</span><span class="p">(</span><span class="s2">"rpt_json"</span><span class="p">)</span>
+<span class="n">rpt_str1</span> <span class="o">=</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">get_dataitem</span><span class="p">(</span><span class="n">rpt_output1</span><span class="o">.</span><span class="n">get_target_path</span><span class="p">())</span><span class="o">.</span><span class="n">get</span><span class="p">()</span><span class="o">.</span><span class="n">decode</span><span class="p">(</span><span class="s2">"utf-8"</span><span class="p">)</span>
+<span class="kn">import</span> <span class="nn">json</span>
+<span class="n">obj</span> <span class="o">=</span> <span class="n">json</span><span class="o">.</span><span class="n">loads</span><span class="p">(</span><span class="n">rpt_str1</span><span class="p">)</span>
+ 
+<span class="c1"># Pretty Print JSON</span>
+<span class="n">json_formatted_str1</span> <span class="o">=</span> <span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">obj</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json_formatted_str1</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>{
+    "data/letter.txt": [
+        {
+            "entity_type": "PERSON",
+            "start": 9,
+            "end": 17,
+            "score": 1.0,
+            "analysis_explanation": {
+                "recognizer": "FlairRecognizer",
+                "pattern_name": null,
+                "pattern": null,
+                "original_score": 1.0,
+                "score": 1.0,
+                "textual_explanation": "Identified as PER by Flair's Named Entity Recognition",
+                "score_context_improvement": 0,
+                "supportive_context_word": "",
+                "validation_result": null
+            },
+            "recognition_metadata": {
+                "recognizer_identifier": "Flair Analytics_139944345555488",
+                "recognizer_name": "Flair Analytics"
+            }
+        },
+        {
+            "entity_type": "LOCATION",
+            "start": 248,
+            "end": 255,
+            "score": 1.0,
+            "analysis_explanation": {
+                "recognizer": "FlairRecognizer",
+                "pattern_name": null,
+                "pattern": null,
+                "original_score": 1.0,
+                "score": 1.0,
+                "textual_explanation": "Identified as LOC by Flair's Named Entity Recognition",
+                "score_context_improvement": 0,
+                "supportive_context_word": "",
+                "validation_result": null
+            },
+            "recognition_metadata": {
+                "recognizer_identifier": "Flair Analytics_139944345555488",
+                "recognizer_name": "Flair Analytics"
+            }
+        },
+        {
+            "entity_type": "ORGANIZATION",
+            "start": 248,
+            "end": 255,
+            "score": 1,
+            "analysis_explanation": {
+                "recognizer": "CustomSpacyRecognizer",
+                "pattern_name": null,
+                "pattern": null,
+                "original_score": 1,
+                "score": 1,
+                "textual_explanation": "Identified as ORG by Spacy's Named Entity Recognition (Privy-trained)",
+                "score_context_improvement": 0,
+                "supportive_context_word": "",
+                "validation_result": null
+            },
+            "recognition_metadata": {
+                "recognizer_name": "CustomSpacyRecognizer",
+                "recognizer_identifier": "CustomSpacyRecognizer_139943499301312"
+            }
+        }
+    ],
+    "data/pii_data.txt": [
+        {
+            "entity_type": "PERSON",
+            "start": 0,
+            "end": 12,
+            "score": 1,
+            "analysis_explanation": {
+                "recognizer": "CustomSpacyRecognizer",
+                "pattern_name": null,
+                "pattern": null,
+                "original_score": 1,
+                "score": 1,
+                "textual_explanation": "Identified as PERSON by Spacy's Named Entity Recognition (Privy-trained)",
+                "score_context_improvement": 0,
+                "supportive_context_word": "",
+                "validation_result": null
+            },
+            "recognition_metadata": {
+                "recognizer_name": "CustomSpacyRecognizer",
+                "recognizer_identifier": "CustomSpacyRecognizer_139943499301312"
+            }
+        },
+        {
+            "entity_type": "ORGANIZATION",
+            "start": 13,
+            "end": 16,
+            "score": 1,
+            "analysis_explanation": {
+                "recognizer": "CustomSpacyRecognizer",
+                "pattern_name": null,
+                "pattern": null,
+                "original_score": 1,
+                "score": 1,
+                "textual_explanation": "Identified as ORG by Spacy's Named Entity Recognition (Privy-trained)",
+                "score_context_improvement": 0,
+                "supportive_context_word": "",
+                "validation_result": null
+            },
+            "recognition_metadata": {
+                "recognizer_name": "CustomSpacyRecognizer",
+                "recognizer_identifier": "CustomSpacyRecognizer_139943499301312"
+            }
+        },
+        {
+            "entity_type": "PERSON",
+            "start": 53,
+            "end": 58,
+            "score": 1.0,
+            "analysis_explanation": {
+                "recognizer": "FlairRecognizer",
+                "pattern_name": null,
+                "pattern": null,
+                "original_score": 1.0,
+                "score": 1.0,
+                "textual_explanation": "Identified as PER by Flair's Named Entity Recognition",
+                "score_context_improvement": 0,
+                "supportive_context_word": "",
+                "validation_result": null
+            },
+            "recognition_metadata": {
+                "recognizer_identifier": "Flair Analytics_139944345555488",
+                "recognizer_name": "Flair Analytics"
+            }
+        },
+        {
+            "entity_type": "PERSON",
+            "start": 48,
+            "end": 52,
+            "score": 0.87,
+            "analysis_explanation": {
+                "recognizer": "FlairRecognizer",
+                "pattern_name": null,
+                "pattern": null,
+                "original_score": 0.87,
+                "score": 0.87,
+                "textual_explanation": "Identified as PER by Flair's Named Entity Recognition",
+                "score_context_improvement": 0,
+                "supportive_context_word": "",
+                "validation_result": null
+            },
+            "recognition_metadata": {
+                "recognizer_identifier": "Flair Analytics_139944345555488",
+                "recognizer_name": "Flair Analytics"
+            }
+        },
+        {
+            "entity_type": "EMAIL",
+            "start": 48,
+            "end": 68,
+            "score": 0.5,
+            "analysis_explanation": {
+                "recognizer": "PatternRecognizer",
+                "pattern_name": "EMAIL",
+                "pattern": "\\S+@\\S+",
+                "original_score": 0.5,
+                "score": 0.5,
+                "textual_explanation": null,
+                "score_context_improvement": 0,
+                "supportive_context_word": "",
+                "validation_result": null
+            },
+            "recognition_metadata": {
+                "recognizer_name": "PatternRecognizer",
+                "recognizer_identifier": "PatternRecognizer_139943864893792"
+            }
+        },
+        {
+            "entity_type": "PHONE",
+            "start": 72,
+            "end": 82,
+            "score": 0.5,
+            "analysis_explanation": {
+                "recognizer": "PatternRecognizer",
+                "pattern_name": "PHONE",
+                "pattern": "\\(?\\d{3}\\)?[-.\\s]?\\d{3}[-.\\s]?\\d{4}",
+                "original_score": 0.5,
+                "score": 0.5,
+                "textual_explanation": null,
+                "score_context_improvement": 0,
+                "supportive_context_word": "",
+                "validation_result": null
+            },
+            "recognition_metadata": {
+                "recognizer_name": "PatternRecognizer",
+                "recognizer_identifier": "PatternRecognizer_139943864894128"
+            }
+        },
+        {
+            "entity_type": "PHONE",
+            "start": 104,
+            "end": 114,
+            "score": 0.5,
+            "analysis_explanation": {
+                "recognizer": "PatternRecognizer",
+                "pattern_name": "PHONE",
+                "pattern": "\\(?\\d{3}\\)?[-.\\s]?\\d{3}[-.\\s]?\\d{4}",
+                "original_score": 0.5,
+                "score": 0.5,
+                "textual_explanation": null,
+                "score_context_improvement": 0,
+                "supportive_context_word": "",
+                "validation_result": null
+            },
+            "recognition_metadata": {
+                "recognizer_name": "PatternRecognizer",
+                "recognizer_identifier": "PatternRecognizer_139943864894128"
+            }
+        }
+    ]
+}
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="output-configurations">
+<h3>3.3 Output configurations<a class="headerlink" href="#output-configurations" title="Permalink to this headline">#</a></h3>
+<ul class="simple">
+<li><p>is_full_text: whether produce full text or just the sentences have PII entities in it</p></li>
+<li><p>generate_html: whether to produce the html with highlighted pii entities</p></li>
+<li><p>generate_json: whether to proudce the json report with the explaination of the process</p></li>
+<li><p>is_full_html: whether produce full text with the pii entities highlighted or just sentences with pii entities.</p></li>
+<li><p>is_full_report: whether produce the json report with detailed information or just start, end index and scores.</p></li>
+</ul>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">mlrun</span>
+<span class="n">artifact_path</span> <span class="o">=</span> <span class="s2">"./"</span>
+<span class="n">proj</span> <span class="o">=</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">get_or_create_project</span><span class="p">(</span><span class="s2">"pii"</span><span class="p">,</span> <span class="s2">"./"</span><span class="p">)</span>
+<span class="n">fn</span> <span class="o">=</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">code_to_function</span><span class="p">(</span>
+    <span class="n">project</span><span class="o">=</span><span class="s2">"pii"</span><span class="p">,</span>
+    <span class="n">name</span><span class="o">=</span><span class="s2">"pii_recognizer"</span><span class="p">,</span>
+    <span class="n">filename</span><span class="o">=</span><span class="s2">"pii_recognizer.py"</span><span class="p">,</span>
+    <span class="n">kind</span><span class="o">=</span><span class="s2">"job"</span><span class="p">,</span>
+    <span class="n">image</span><span class="o">=</span><span class="s2">"mlrun/mlrun"</span><span class="p">,</span>
+    <span class="n">handler</span><span class="o">=</span><span class="s2">"recognize_pii"</span><span class="p">,</span>
+    <span class="n">description</span><span class="o">=</span><span class="s2">"This function is used to recognize PII in a given text"</span><span class="p">,</span>
+<span class="p">)</span>
+
+<span class="n">entity_operator_map</span> <span class="o">=</span> <span class="p">{</span>
+        <span class="s2">"PERSON"</span><span class="p">:</span> <span class="p">(</span><span class="s2">"keep"</span><span class="p">,</span> <span class="p">{}),</span>
+        <span class="s2">"EMAIL"</span><span class="p">:</span> <span class="p">(</span><span class="s2">"mask"</span><span class="p">,</span> <span class="p">{</span><span class="s2">"masking_char"</span><span class="p">:</span> <span class="s2">"😀"</span><span class="p">,</span> <span class="s2">"chars_to_mask"</span> <span class="p">:</span> <span class="mi">100</span><span class="p">,</span> <span class="s2">"from_end"</span><span class="p">:</span> <span class="kc">False</span><span class="p">}),</span>
+        <span class="s2">"PHONE"</span><span class="p">:</span> <span class="p">(</span><span class="s2">"hash"</span><span class="p">,</span> <span class="p">{}),</span>
+        <span class="s2">"LOCATION"</span><span class="p">:</span> <span class="p">(</span><span class="s2">"redact"</span><span class="p">,</span> <span class="p">{}),</span>
+        <span class="s2">"ORGANIZATION"</span><span class="p">:</span> <span class="p">(</span><span class="s2">"replace"</span><span class="p">,</span> <span class="p">{</span><span class="s2">"new_value"</span><span class="p">:</span> <span class="s2">"Company XYZ"</span><span class="p">})</span>
+        <span class="p">}</span>
+<span class="n">run_obj</span> <span class="o">=</span> <span class="n">fn</span><span class="o">.</span><span class="n">run</span><span class="p">(</span>
+    <span class="n">artifact_path</span> <span class="o">=</span> <span class="n">artifact_path</span><span class="p">,</span>
+    <span class="n">params</span><span class="o">=</span> <span class="p">{</span>
+        <span class="s1">'model'</span><span class="p">:</span> <span class="s2">"whole"</span><span class="p">,</span> 
+        <span class="s1">'input_path'</span><span class="p">:</span> <span class="s2">"./data/"</span><span class="p">,</span>
+        <span class="s1">'output_path'</span><span class="p">:</span> <span class="s2">"./data/output3/"</span><span class="p">,</span>
+        <span class="s2">"entities"</span><span class="p">:</span> <span class="p">[</span><span class="s1">'PERSON'</span><span class="p">,</span> <span class="s2">"EMAIL"</span><span class="p">,</span> <span class="s2">"PHONE"</span><span class="p">,</span> <span class="s2">"LOCATION"</span><span class="p">,</span> <span class="s2">"ORGANIZATION"</span><span class="p">],</span>
+        <span class="s2">"output_suffix"</span><span class="p">:</span> <span class="s2">"output"</span><span class="p">,</span>
+        <span class="s2">"html_key"</span><span class="p">:</span> <span class="s2">"highlighted"</span><span class="p">,</span>
+        <span class="s2">"score_threshold"</span> <span class="p">:</span> <span class="mf">0.5</span><span class="p">,</span>
+        <span class="s2">"entity_operator_map"</span><span class="p">:</span> <span class="n">entity_operator_map</span><span class="p">,</span>
+        <span class="s2">"is_full_text"</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span>
+        <span class="s2">"is_full_html"</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span>
+        <span class="s2">"is_full_report"</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span>
+    <span class="p">},</span>
+    <span class="n">returns</span> <span class="o">=</span> <span class="p">[</span><span class="s2">"output_path: path"</span><span class="p">,</span> <span class="s2">"rpt_json: file"</span><span class="p">,</span> <span class="s2">"errors: file"</span><span class="p">],</span>
+    <span class="n">local</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+<span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&gt; 2023-07-31 02:22:57,789 [info] Project loaded successfully: {'project_name': 'pii'}
+&gt; 2023-07-31 02:22:57,799 [warning] Failed to add git metadata, ignore if path is not part of a git repo.: {'path': './', 'error': '/User/pii_recognizer'}
+&gt; 2023-07-31 02:22:57,891 [warning] artifact/output path is not defined or is local and relative, artifacts will not be visible in the UI: {'output_path': './'}
+&gt; 2023-07-31 02:22:57,892 [info] Storing function: {'name': 'pii-recognizer-recognize-pii', 'uid': '3f6d701e423346b39026dc365698c15c', 'db': None}
+2023-07-31 02:22:58,079 loading file /User/.flair/models/flair-pii-distilbert/models--beki--flair-pii-distilbert/snapshots/20fb59f1762edcf253bce67716a94a43cb075ae6/pytorch_model.bin
+2023-07-31 02:23:01,565 SequenceTagger predicts: Dictionary with 21 tags: O, S-LOC, B-LOC, E-LOC, I-LOC, S-PER, B-PER, E-PER, I-PER, S-DATE_TIME, B-DATE_TIME, E-DATE_TIME, I-DATE_TIME, S-ORG, B-ORG, E-ORG, I-ORG, S-NRP, B-NRP, E-NRP, I-NRP
+Model loaded
+</pre></div>
+</div>
+<script type="application/vnd.jupyter.widget-view+json">{"model_id": "ad05f59e8c604629a01f797dc84ec530", "version_major": 2, "version_minor": 0}</script><div class="output text_html"><style>
+.dictlist {
+  background-color: #4EC64B;
+  text-align: center;
+  margin: 4px;
+  border-radius: 3px; padding: 0px 3px 1px 3px; display: inline-block;}
+.artifact {
+  cursor: pointer;
+  background-color: #4EC64B;
+  text-align: left;
+  margin: 4px; border-radius: 3px; padding: 0px 3px 1px 3px; display: inline-block;
+}
+div.block.hidden {
+  display: none;
+}
+.clickable {
+  cursor: pointer;
+}
+.ellipsis {
+  display: inline-block;
+  max-width: 60px;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+}
+.master-wrapper {
+  display: flex;
+  flex-flow: row nowrap;
+  justify-content: flex-start;
+  align-items: stretch;
+}
+.master-tbl {
+  flex: 3
+}
+.master-wrapper > div {
+  margin: 4px;
+  padding: 10px;
+}
+iframe.fileview {
+  border: 0 none;
+  height: 100%;
+  width: 100%;
+  white-space: pre-wrap;
+}
+.pane-header-title {
+  width: 80%;
+  font-weight: 500;
+}
+.pane-header {
+  line-height: 1;
+  background-color: #4EC64B;
+  padding: 3px;
+}
+.pane-header .close {
+  font-size: 20px;
+  font-weight: 700;
+  float: right;
+  margin-top: -5px;
+}
+.master-wrapper .right-pane {
+  border: 1px inset silver;
+  width: 40%;
+  min-height: 300px;
+  flex: 3
+  min-width: 500px;
+}
+.master-wrapper * {
+  box-sizing: border-box;
+}
+</style><script>
+function copyToClipboard(fld) {
+    if (document.queryCommandSupported && document.queryCommandSupported('copy')) {
+        var textarea = document.createElement('textarea');
+        textarea.textContent = fld.innerHTML;
+        textarea.style.position = 'fixed';
+        document.body.appendChild(textarea);
+        textarea.select();
+
+        try {
+            return document.execCommand('copy'); // Security exception may be thrown by some browsers.
+        } catch (ex) {
+
+        } finally {
+            document.body.removeChild(textarea);
+        }
+    }
+}
+function expandPanel(el) {
+  const panelName = "#" + el.getAttribute('paneName');
+  console.log(el.title);
+
+  document.querySelector(panelName + "-title").innerHTML = el.title
+  iframe = document.querySelector(panelName + "-body");
+
+  const tblcss = `<style> body { font-family: Arial, Helvetica, sans-serif;}
+    #csv { margin-bottom: 15px; }
+    #csv table { border-collapse: collapse;}
+    #csv table td { padding: 4px 8px; border: 1px solid silver;} </style>`;
+
+  function csvToHtmlTable(str) {
+    return '<div id="csv"><table><tr><td>' +  str.replace(/[\n\r]+$/g, '').replace(/[\n\r]+/g, '</td></tr><tr><td>')
+      .replace(/,/g, '</td><td>') + '</td></tr></table></div>';
+  }
+
+  function reqListener () {
+    if (el.title.endsWith(".csv")) {
+      iframe.setAttribute("srcdoc", tblcss + csvToHtmlTable(this.responseText));
+    } else {
+      iframe.setAttribute("srcdoc", this.responseText);
+    }
+    console.log(this.responseText);
+  }
+
+  const oReq = new XMLHttpRequest();
+  oReq.addEventListener("load", reqListener);
+  oReq.open("GET", el.title);
+  oReq.send();
+
+
+  //iframe.src = el.title;
+  const resultPane = document.querySelector(panelName + "-pane");
+  if (resultPane.classList.contains("hidden")) {
+    resultPane.classList.remove("hidden");
+  }
+}
+function closePanel(el) {
+  const panelName = "#" + el.getAttribute('paneName')
+  const resultPane = document.querySelector(panelName + "-pane");
+  if (!resultPane.classList.contains("hidden")) {
+    resultPane.classList.add("hidden");
+  }
+}
+
+</script>
+<div class="master-wrapper">
+<div class="block master-tbl"><div>
+<style scoped="">
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+<thead>
+<tr style="text-align: right;">
+<th>project</th>
+<th>uid</th>
+<th>iter</th>
+<th>start</th>
+<th>state</th>
+<th>name</th>
+<th>labels</th>
+<th>inputs</th>
+<th>parameters</th>
+<th>results</th>
+<th>artifacts</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td>pii</td>
+<td><div title="3f6d701e423346b39026dc365698c15c"><a href="https://dashboard.default-tenant.app.llm2.iguazio-cd0.com/mlprojects/pii/jobs/monitor/3f6d701e423346b39026dc365698c15c/overview" target="_blank">...5698c15c</a></div></td>
+<td>0</td>
+<td>Jul 31 02:22:57</td>
+<td>completed</td>
+<td>pii-recognizer-recognize-pii</td>
+<td><div class="dictlist">v3io_user=pengw</div><div class="dictlist">kind=</div><div class="dictlist">owner=pengw</div><div class="dictlist">host=jupyter-pengw-5f99fb678d-mnvxl</div></td>
+<td></td>
+<td><div class="dictlist">model=whole</div><div class="dictlist">input_path=./data/</div><div class="dictlist">output_path=./data/output3/</div><div class="dictlist">entities=['PERSON', 'EMAIL', 'PHONE', 'LOCATION', 'ORGANIZATION']</div><div class="dictlist">output_suffix=output</div><div class="dictlist">html_key=highlighted</div><div class="dictlist">score_threshold=0.5</div><div class="dictlist">entity_operator_map={'PERSON': ('keep', {}), 'EMAIL': ('mask', {'masking_char': '😀', 'chars_to_mask': 100, 'from_end': False, 'entity_type': 'EMAIL'}), 'PHONE': ('hash', {}), 'LOCATION': ('redact', {}), 'ORGANIZATION': ('replace', {'new_value': 'Company XYZ', 'entity_type': 'ORGANIZATION'})}</div><div class="dictlist">is_full_text=False</div><div class="dictlist">is_full_html=False</div><div class="dictlist">is_full_report=False</div></td>
+<td></td>
+<td><div class="artifact" onclick="expandPanel(this)" panename="result1d30d4ed" title="/files/pii_recognizer/pii-recognizer-recognize-pii/0/highlighted.html">highlighted</div><div title="/User/pii_recognizer/pii-recognizer-recognize-pii/0/output_path.zip">output_path</div><div class="artifact" onclick="expandPanel(this)" panename="result1d30d4ed" title="/files/pii_recognizer/pii-recognizer-recognize-pii/0/rpt_json.json">rpt_json</div><div title="/User/pii_recognizer/pii-recognizer-recognize-pii/0/errors.npz">errors</div></td>
+</tr>
+</tbody>
+</table>
+</div></div>
+<div class="right-pane block hidden" id="result1d30d4ed-pane">
+<div class="pane-header">
+<span class="pane-header-title" id="result1d30d4ed-title">Title</span>
+<span class="close clickable" onclick="closePanel(this)" panename="result1d30d4ed">×</span>
+</div>
+<iframe class="fileview" id="result1d30d4ed-body"></iframe>
+</div>
+</div>
+</div><div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+<div class="output text_html"><b> &gt; to track results use the .show() or .logs() methods  or <a href="https://dashboard.default-tenant.app.llm2.iguazio-cd0.com/mlprojects/pii/jobs/monitor/3f6d701e423346b39026dc365698c15c/overview" target="_blank">click here</a> to open in UI</b></div><div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&gt; 2023-07-31 02:23:06,096 [info] Run execution finished: {'status': 'completed', 'name': 'pii-recognizer-recognize-pii'}
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1">#get the mlrun context</span>
+<span class="n">context</span> <span class="o">=</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">get_or_create_ctx</span><span class="p">(</span><span class="s1">'pii_ctx'</span><span class="p">)</span>
+<span class="kn">import</span> <span class="nn">pathlib</span>
+<span class="kn">from</span> <span class="nn">tqdm.auto</span> <span class="kn">import</span> <span class="n">tqdm</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">txt_file</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span>
+        <span class="n">tqdm</span><span class="p">(</span>
+            <span class="nb">list</span><span class="p">(</span><span class="n">pathlib</span><span class="o">.</span><span class="n">Path</span><span class="p">(</span><span class="s2">"./data/output3/"</span><span class="p">)</span><span class="o">.</span><span class="n">glob</span><span class="p">(</span><span class="s2">"*.txt"</span><span class="p">)),</span>
+            <span class="n">desc</span><span class="o">=</span><span class="s2">"Processing files"</span><span class="p">,</span>
+            <span class="n">unit</span><span class="o">=</span><span class="s2">"file"</span><span class="p">,</span>
+        <span class="p">)</span>
+    <span class="p">):</span>
+            <span class="c1"># Load the str from the text file</span>
+        <span class="n">text</span> <span class="o">=</span> <span class="n">txt_file</span><span class="o">.</span><span class="n">read_text</span><span class="p">()</span>
+        <span class="nb">print</span><span class="p">(</span><span class="n">text</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<script type="application/vnd.jupyter.widget-view+json">{"model_id": "f478b2a3792e42beabad632b9523e169", "version_major": 2, "version_minor": 0}</script><div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Dear Mr. John Doe,
+
+We are pleased to inform you that you have been selected as the winner of our exclusive vacation package giveaway!
+John smith's Company XYZ is 182838483, connect him with 😀😀😀😀😀😀😀😀😀😀😀😀😀😀😀😀😀😀😀😀 or 3990096a212e92850c3b3c8e57ab398252d482444a32def6b030cbac2d51efa3, he can pay you with a6983d9477e93eab115305afd124bd096699e6cb7d2ce72ec6e29a6378a4e8059393
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1">#check the highlighted html </span>
+<span class="n">html_output</span> <span class="o">=</span> <span class="n">context</span><span class="o">.</span><span class="n">get_cached_artifact</span><span class="p">(</span><span class="s2">"highlighted"</span><span class="p">)</span>
+<span class="n">html_str</span> <span class="o">=</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">get_dataitem</span><span class="p">(</span><span class="n">html_output</span><span class="o">.</span><span class="n">get_target_path</span><span class="p">())</span><span class="o">.</span><span class="n">get</span><span class="p">()</span><span class="o">.</span><span class="n">decode</span><span class="p">(</span><span class="s2">"utf-8"</span><span class="p">)</span>
+<span class="kn">from</span> <span class="nn">IPython.core.display</span> <span class="kn">import</span> <span class="n">display</span><span class="p">,</span> <span class="n">HTML</span>
+<span class="n">display</span><span class="p">(</span><span class="n">HTML</span><span class="p">(</span><span class="n">html_str</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_html"><html><head><title>Highlighted Pii Entities</title></head><body><h1>Highlighted Pii Entities</h1><ul><li><a href="#data/letter.txt">data/letter.txt</a></li><li><a href="#data/pii_data.txt">data/pii_data.txt</a></li></ul><li><h2>data/letter.txt</h2><p><p><span><span>Dear Mr. <span style="display:inline-flex;flex-direction:row;align-items:center;background:#21c35466;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1">John Doe<span style="border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch"></span><span style="margin-left:0.5rem;font-size:0.75rem;opacity:0.5">PERSON</span></span></span><span>,
+
+We are pleased to inform you that you have been selected as the winner of our exclusive vacation package giveaway! Congratulations! You, along with your family, will enjoy a luxurious stay at our resort in the beautiful city of <span style="display:inline-flex;flex-direction:row;align-items:center;background:#803df566;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1">Riviera<span style="border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch"></span><span style="margin-left:0.5rem;font-size:0.75rem;opacity:0.5">LOCATION</span></span><span style="display:inline-flex;flex-direction:row;align-items:center;background:#80849566;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1">Riviera<span style="border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch"></span><span style="margin-left:0.5rem;font-size:0.75rem;opacity:0.5">ORGANIZATION</span></span></span></span></p></p></li><li><h2>data/pii_data.txt</h2><p><p><span><span><span style="display:inline-flex;flex-direction:row;align-items:center;background:#21c35466;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1">John smith's<span style="border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch"></span><span style="margin-left:0.5rem;font-size:0.75rem;opacity:0.5">PERSON</span></span> <span style="display:inline-flex;flex-direction:row;align-items:center;background:#80849566;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1">ssn<span style="border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch"></span><span style="margin-left:0.5rem;font-size:0.75rem;opacity:0.5">ORGANIZATION</span></span> is 182838483, connect him with <span style="display:inline-flex;flex-direction:row;align-items:center;background:#21c35466;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1">John<span style="border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch"></span><span style="margin-left:0.5rem;font-size:0.75rem;opacity:0.5">PERSON</span></span><span style="display:inline-flex;flex-direction:row;align-items:center;background:#ff4b4b33;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1">John_smith@gmail.com<span style="border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch"></span><span style="margin-left:0.5rem;font-size:0.75rem;opacity:0.5">EMAIL</span></span><span style="display:inline-flex;flex-direction:row;align-items:center;background:#21c35466;border-radius:0.5rem;padding:0.25rem 0.5rem;overflow:hidden;line-height:1">smith<span style="border-left:1px solid;opacity:0.1;margin-left:0.5rem;align-self:stretch"></span><span style="margin-left:0.5rem;font-size:0.75rem;opacity:0.5">PERSON</span></span></span></span></p></p></li></body></html></div></div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1">#check the json report about the explanation.</span>
+<span class="n">rpt_output</span> <span class="o">=</span> <span class="n">context</span><span class="o">.</span><span class="n">get_cached_artifact</span><span class="p">(</span><span class="s2">"rpt_json"</span><span class="p">)</span>
+<span class="n">rpt_str</span> <span class="o">=</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">get_dataitem</span><span class="p">(</span><span class="n">rpt_output</span><span class="o">.</span><span class="n">get_target_path</span><span class="p">())</span><span class="o">.</span><span class="n">get</span><span class="p">()</span><span class="o">.</span><span class="n">decode</span><span class="p">(</span><span class="s2">"utf-8"</span><span class="p">)</span>
+<span class="kn">import</span> <span class="nn">json</span>
+<span class="n">obj</span> <span class="o">=</span> <span class="n">json</span><span class="o">.</span><span class="n">loads</span><span class="p">(</span><span class="n">rpt_str</span><span class="p">)</span>
+ 
+<span class="c1"># Pretty Print JSON</span>
+<span class="n">json_formatted_str</span> <span class="o">=</span> <span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">obj</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json_formatted_str</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>{
+    "data/letter.txt": [
+        {
+            "entity_type": "PERSON",
+            "start": 9,
+            "end": 17,
+            "score": 1
+        },
+        {
+            "entity_type": "LOCATION",
+            "start": 248,
+            "end": 255,
+            "score": 1.0
+        },
+        {
+            "entity_type": "ORGANIZATION",
+            "start": 248,
+            "end": 255,
+            "score": 1
+        }
+    ],
+    "data/pii_data.txt": [
+        {
+            "entity_type": "PERSON",
+            "start": 0,
+            "end": 12,
+            "score": 1
+        },
+        {
+            "entity_type": "ORGANIZATION",
+            "start": 13,
+            "end": 16,
+            "score": 1
+        },
+        {
+            "entity_type": "PERSON",
+            "start": 53,
+            "end": 58,
+            "score": 1.0
+        },
+        {
+            "entity_type": "PERSON",
+            "start": 48,
+            "end": 52,
+            "score": 0.87
+        },
+        {
+            "entity_type": "EMAIL",
+            "start": 48,
+            "end": 68,
+            "score": 0.5
+        },
+        {
+            "entity_type": "PHONE",
+            "start": 72,
+            "end": 82,
+            "score": 0.5
+        },
+        {
+            "entity_type": "PHONE",
+            "start": 104,
+            "end": 114,
+            "score": 0.5
+        }
+    ]
+}
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+</section>
+</section>
+</div>
+</main>
+<footer class="footer-article noprint">
+<!-- Previous / next buttons -->
+<div class="prev-next-area">
+</div>
+</footer>
+</div>
+</div>
+<div class="footer-content row">
+<footer class="col footer"><p>
+  
+      © Copyright .<br/>
+</p>
+</footer>
+</div>
+</div>
+</div>
+</div>
+<!-- Scripts loaded after <body> so the DOM is not blocked -->
+<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf"></script>
+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/pii_recognizer/0.3.0/static/function.html b/functions/master/pii_recognizer/0.3.0/static/function.html
new file mode 100644
index 00000000..1d21cf1b
--- /dev/null
+++ b/functions/master/pii_recognizer/0.3.0/static/function.html
@@ -0,0 +1,151 @@
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta content="IE=edge" http-equiv="X-UA-Compatible">
+    <meta content="width=device-width, initial-scale=1.0" name="viewport">
+    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/styles/atom-one-dark.min.css">
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/highlight.min.js"></script>
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/languages/yaml.min.js"></script>
+    <title>Source</title>
+    <script>hljs.highlightAll();</script>
+</head>
+
+<body style="background-color:darkgray; margin: 0 0 0 0;">
+    <pre style="margin: 0 1em;">
+        <code class="yaml">
+kind: job
+metadata:
+  name: pii-recognizer
+  tag: ''
+  hash: 818930645d33704e9cada919769ee9d93cbb9434
+  project: ''
+  labels:
+    author: pgw
+  categories:
+  - machine-learning
+  - data-preparation
+  - NLP
+spec:
+  command: ''
+  args: []
+  image: ''
+  build:
+    functionSourceCode: # Copyright 2023 Iguazio
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import logging
import os
import pathlib
import tempfile
import warnings
from typing import List, Set, Tuple, Union

import annotated_text.util as at_util
import mlrun
import nltk
import pandas as pd
import presidio_analyzer as pa
import presidio_anonymizer as pre_anoymizer
from presidio_anonymizer.entities import OperatorConfig
from tqdm import tqdm

try:
    import flair as fl
except ModuleNotFoundError:
    print("Flair is not installed")

# There is a conflict between Rust-based tokenizers' parallel processing
# and Python's fork operations during multiprocessing. To avoid this, we need
# the following two lines

os.environ["TOKENIZERS_PARALLELISM"] = "false"
warnings.filterwarnings("ignore")

logger = logging.getLogger("pii-recognizer")


# Add the constant classes of Models and Entities to govern the whole package
class Models:
    WHOLE = "whole"
    PATTERN = "pattern"
    SPACY = "spacy"
    FLAIR = "flair"


class Entities:
    CREDIT_CARD = "CREDIT_CARD"
    SSN = "SSN"
    PHONE = "PHONE"
    EMAIL = "EMAIL"
    LOCATION = "LOCATION"
    PERSON = "PERSON"
    NRP = "NRP"
    ORGANIZATION = "ORGANIZATION"
    DATE_TIME = "DATE_TIME"
    GPE = ("GPE",)
    MAC_ADDRESS = "MAC_ADDRESS"
    US_BANK_NUMBER = "US_BANK_NUMBER"
    IMEI = "IMEI"
    TITLE = "TITLE"
    LICENSE_PLATE = "LICENSE_PLATE"
    US_PASSPORT = "US_PASSPORT"
    CURRENCY = "CURRENCY"
    ROUTING_NUMBER = "ROUTING_NUMBER"
    US_ITIN = "US_ITIN"
    US_BANK_NUMBER = "US_BANK_NUMBER"
    US_DRIVER_LICENSE = "US_DRIVER_LICENSE"
    AGE = "AGE"
    PASSWORD = "PASSWORD"
    SWIFT_CODE = "SWIFT_CODE"


class PatternRecognizerFactory:
    """
    Factory for creating pattern recognizers, it can be extended in the future to
    add more regex pattern for different entities. For the pattern recognizer to work,
    we need construct a list of regex patterns for each entity.
    """

    RECOGNIZABLE_ENTITIES = {
        "CREDIT_CARD": [pa.Pattern("CREDIT_CARD", r"\b(?:\d[ -]*?){13,16}\b", 0.5)],
        "SSN": [pa.Pattern("SSN", r"\b\d{3}-?\d{2}-?\d{4}\b", 0.5)],
        "PHONE": [pa.Pattern("PHONE", r"\(?\d{3}\)?[-.\s]?\d{3}[-.\s]?\d{4}", 0.5)],
        "EMAIL": [pa.Pattern("EMAIL", r"\S+@\S+", 0.5)],
    }

    # create a list of pattern recognizers
    @classmethod
    def _create_pattern_recognizer(cls):
        """
        For each entity, create a list of patterns to recognize it

        :param cls: PatternRecognizerFactory class

        :returns: List of pattern recognizers
        """

        # Entities to recognize and their regex patterns

        return [
            pa.PatternRecognizer(supported_entity=entity, patterns=pattern)
            for entity, pattern in cls.RECOGNIZABLE_ENTITIES.items()
        ]


class CustomSpacyRecognizer(pa.LocalRecognizer):
    """
    Custom Spacy Recognizer from Presidio Analyzer trained on Privy data.
    The privy data is generated using this https://github.com/pixie-io/pixie/tree/main/src/datagen/pii/privy
    It can be used to recognize custom entities, Since we want to use Presidio's Registries to generate AnalyzerEngine,
    it inherits from Presidio Analyzer's LocalRecognizer class.
    """

    # Entities to recognize

    RECOGNIZABLE_ENTITIES = {
        "LOCATION",
        "PERSON",
        "NRP",
        "ORGANIZATION",
        "DATE_TIME",
    }

    # Default explanation for this recognizer

    _DEFAULT_EXPLANATION = (
        "Identified as {} by Spacy's Named Entity Recognition (Privy-trained)"
    )

    # Label groups to check

    _DEFAULT_CHECK_LABEL_GROUPS = [
        ({"LOCATION"}, {"LOC", "LOCATION", "STREET_ADDRESS", "COORDINATE"}),
        ({"PERSON"}, {"PER", "PERSON"}),
        ({"NRP"}, {"NORP", "NRP"}),
        ({"ORGANIZATION"}, {"ORG"}),
        ({"DATE_TIME"}, {"DATE_TIME"}),
    ]

    # pretrained model for this recognizer

    _DEFAULT_MODEL_LANGUAGES = {
        "en": "beki/en_spacy_pii_distilbert",
    }

    _DEFAULT_PRESIDIO_EQUIVALENCES = {
        "PER": "PERSON",
        "LOC": "LOCATION",
        "ORG": "ORGANIZATION",
        "NROP": "NRP",
        "DATE_TIME": "DATE_TIME",
    }

    def __init__(
        self,
        supported_language: str = "en",
        supported_entities: List[str] = None,
        check_label_groups: Tuple[Set, Set] = None,
        context: List[str] = None,
        ner_strength: float = 1,
    ):
        """
        Initialize Spacy Recognizer.

        :param supported_language: Language to use, default is English
        :param supported_entities: Entities to use for recognition
        :param check_label_groups: Label groups to check for the entities
        :param context:            Context to use if any
        :param ner_strength:       Default confidence for NER prediction

        :returns: SpacyRecognizer object
        """

        # Default confidence for NER prediction
        self.ner_strength = ner_strength

        self.check_label_groups = check_label_groups or self._DEFAULT_CHECK_LABEL_GROUPS
        supported_entities = supported_entities or self.RECOGNIZABLE_ENTITIES
        super().__init__(
            supported_entities=supported_entities,
            supported_language=supported_language,
        )

    # get the presidio explanation for the result

    def _build_spacy_explanation(
        self, original_score: float, explanation: str
    ) -> pa.AnalysisExplanation:
        """
        Create explanation for why this result was detected.

        :param original_score: Score given by this recognizer
        :param explanation:    Explanation string

        :returns: Presidio AnalysisExplanation object
        """
        explanation = pa.AnalysisExplanation(
            recognizer=self.__class__.__name__,
            original_score=original_score,
            textual_explanation=explanation,
        )
        return explanation

    # main method for the recognizer
    def analyze(self, text: str, entities: List[str], nlp_artifacts=None):  # noqa D102
        """
        Analyze text using Spacy.

        :param text:          Text to analyze
        :param entities:      Entities to analyze
        :param nlp_artifacts: NLP artifacts to use

        :returns: List of Presidio RecognizerResult objects
        """
        results = []
        if not nlp_artifacts:
            logger.warning("Skipping SpaCy, nlp artifacts not provided...")
            return results

        ner_entities = nlp_artifacts.entities

        # recognize the supported entities
        for entity in entities:
            if entity not in self.supported_entities:
                continue
            for ent in ner_entities:
                if not self.__check_label(entity, ent.label_, self.check_label_groups):
                    continue

                # string of the explanation saying the entity is recognized by spacy
                textual_explanation = self._DEFAULT_EXPLANATION.format(ent.label_)
                explanation = self._build_spacy_explanation(
                    self.ner_strength, textual_explanation
                )

                # create the standard result with the entity, start, end, score, and explanation
                spacy_result = pa.RecognizerResult(
                    entity_type=entity,
                    start=ent.start_char,
                    end=ent.end_char,
                    score=self.ner_strength,
                    analysis_explanation=explanation,
                    recognition_metadata={
                        pa.RecognizerResult.RECOGNIZER_NAME_KEY: self.name
                    },
                )
                results.append(spacy_result)

        return results

    @staticmethod
    def __check_label(
        entity: str, label: str, check_label_groups: Tuple[Set, Set]
    ) -> bool:
        """
        Check if the label is in the label group.

        :param entity:             Entity to check
        :param label:              Label to check
        :param check_label_groups: Label groups to check

        :returns: True if the label is in the label group, False otherwise
        """
        return any(
            entity in egrp and label in lgrp for egrp, lgrp in check_label_groups
        )


# Class to use Flair with Presidio as an external recognizer.
class FlairRecognizer(pa.EntityRecognizer):
    """
    Wrapper for a flair model, if needed to be used within Presidio Analyzer.
    This is to make sure the recognizer can be registered with Presidio registry.
    """

    RECOGNIZABLE_ENTITIES = {
        "LOCATION",
        "PERSON",
        "NRP",
        "GPE",
        "ORGANIZATION",
        "MAC_ADDRESS",
        "US_BANK_NUMBER",
        "IMEI",
        "TITLE",
        "LICENSE_PLATE",
        "US_PASSPORT",
        "CURRENCY",
        "ROUTING_NUMBER",
        "US_ITIN",
        "US_BANK_NUMBER",
        "US_DRIVER_LICENSE",
        "AGE",
        "PASSWORD",
        "SWIFT_CODE",
    }

    # This is used to construct the explanation for the result

    _DEFAULT_EXPLANATION = "Identified as {} by Flair's Named Entity Recognition"

    _DEFAULT_CHECK_LABEL_GROUPS = [
        ({"LOCATION"}, {"LOC", "LOCATION", "STREET_ADDRESS", "COORDINATE"}),
        ({"PERSON"}, {"PER", "PERSON"}),
        ({"NRP"}, {"NORP", "NRP"}),
        ({"GPE"}, {"GPE"}),
        ({"ORGANIZATION"}, {"ORG"}),
        ({"MAC_ADDRESS"}, {"MAC_ADDRESS"}),
        ({"US_BANK_NUMBER"}, {"US_BANK_NUMBER"}),
        ({"IMEI"}, {"IMEI"}),
        ({"TITLE"}, {"TITLE"}),
        ({"LICENSE_PLATE"}, {"LICENSE_PLATE"}),
        ({"US_PASSPORT"}, {"US_PASSPORT"}),
        ({"CURRENCY"}, {"CURRENCY"}),
        ({"ROUTING_NUMBER"}, {"ROUTING_NUMBER"}),
        ({"AGE"}, {"AGE"}),
        ({"CURRENCY"}, {"CURRENCY"}),
        ({"SWIFT_CODE"}, {"SWIFT_CODE"}),
        ({"US_ITIN"}, {"US_ITIN"}),
        ({"US_BANK_NUMBER"}, {"US_BANK_NUMBER"}),
        ({"US_DRIVER_LICENSE"}, {"US_DRIVER_LICENSE"}),
    ]

    _DEFAULT_MODEL_LANGUAGES = {
        "en": "beki/flair-pii-distilbert",
    }

    _DEFAULT_PRESIDIO_EQUIVALENCES = {
        "PER": "PERSON",
        "LOC": "LOCATION",
        "ORG": "ORGANIZATION",
        "NROP": "NRP",
        "URL": "URL",
        "US_ITIN": "US_ITIN",
        "US_PASSPORT": "US_PASSPORT",
        "IBAN_CODE": "IBAN_CODE",
        "IP_ADDRESS": "IP_ADDRESS",
        "EMAIL_ADDRESS": "EMAIL",
        "US_DRIVER_LICENSE": "US_DRIVER_LICENSE",
        "US_BANK_NUMBER": "US_BANK_NUMBER",
    }

    def __init__(
        self,
        supported_language: str = "en",
        supported_entities: List[str] = None,
        check_label_groups: Tuple[Set, Set] = None,
    ):
        """
        Initialize the FlairRecognizer.

        :param supported_language: Language to use
        :param supported_entities: Entities to use
        :param check_label_groups: Label groups to check

        :returns: FlairRecognizer object

        """
        self.check_label_groups = check_label_groups or self._DEFAULT_CHECK_LABEL_GROUPS

        supported_entities = supported_entities or self.RECOGNIZABLE_ENTITIES
        self.model = fl.models.SequenceTagger.load(
            self._DEFAULT_MODEL_LANGUAGES.get(supported_language)
        )

        super().__init__(
            supported_entities=supported_entities,
            supported_language=supported_language,
            name="Flair Analytics",
        )

    # main method for the recognizer
    def analyze(
        self,
        text: str,
        entities: List[str],
        nlp_artifacts: pa.nlp_engine.NlpArtifacts = None,
    ) -> List[pa.RecognizerResult]:
        """
        Analyze text and return the results.

        :param text:          The text for analysis.
        :param entities:      The list of entities to recognize.
        :param nlp_artifacts: Not used by this recognizer but needed for the interface.

        :returns: The list of Presidio RecognizerResult constructed from the recognized Flair detections.
        """

        results = []

        sentences = fl.data.Sentence(text)
        self.model.predict(sentences)

        # If there are no specific list of entities, we will look for all of it.
        if not entities:
            entities = self.supported_entities

        # Go over the entities and check if they are in the supported entities list.
        for entity in entities:
            if entity not in self.supported_entities:
                continue

            # Go over the sentences and check if the entity is in the sentence.
            for ent in sentences.get_spans("ner"):
                if not self.__check_label(
                    entity, ent.labels[0].value, self.check_label_groups
                ):
                    continue

                # If the entity is in the sentence, we will add it to the results.
                textual_explanation = self._DEFAULT_EXPLANATION.format(
                    ent.labels[0].value
                )

                # Build the explanation for the result
                explanation = self._build_flair_explanation(
                    round(ent.score, 2), textual_explanation
                )

                flair_result = self._convert_to_recognizer_result(ent, explanation)

                results.append(flair_result)

        return results

    def _convert_to_recognizer_result(
        self, entity: fl.data.Span, explanation: str
    ) -> pa.RecognizerResult:
        """
        Convert Flair result to Presidio RecognizerResult.

        :param entity:      Flair entity of Span
        :param explanation: Presidio AnalysisExplanation

        :returns: Presidio RecognizerResult
        """

        # Convert the entity type to Presidio entity type
        entity_type = self._DEFAULT_PRESIDIO_EQUIVALENCES.get(entity.tag, entity.tag)

        # Convert the score to Presidio score
        flair_score = round(entity.score, 2)

        # Create the Presidio RecognizerResult from the Flair entity
        flair_results = pa.RecognizerResult(
            entity_type=entity_type,
            start=entity.start_position,
            end=entity.end_position,
            score=flair_score,
            analysis_explanation=explanation,
        )

        return flair_results

    def _build_flair_explanation(
        self, original_score: float, explanation: str
    ) -> pa.AnalysisExplanation:
        """
        Create explanation for why this result was detected.

        :param original_score: Score given by this recognizer
        :param explanation:    Explanation string

        :returns: Presidio AnalysisExplanation
        """

        # Create the Presidio AnalysisExplanation for the result
        explanation = pa.AnalysisExplanation(
            recognizer=self.__class__.__name__,
            original_score=original_score,
            textual_explanation=explanation,
        )
        return explanation

    # sanity check of the entity and label before recognition
    @staticmethod
    def __check_label(
        entity: str, label: str, check_label_groups: Tuple[Set, Set]
    ) -> bool:
        return any(
            entity in egrp and label in lgrp for egrp, lgrp in check_label_groups
        )


# get the analyzer engine based on the model
def _get_analyzer_engine(
    model: str = None, entities: List[str] = None
) -> pa.AnalyzerEngine:
    """
    Return pa.AnalyzerEngine.

    :param model: The model to use. Can be "spacy", "flair", "pattern" or "whole".
    :param entities: The list of entities to use.

    :returns: pa.AnalyzerEngine
    """
    # recognizer registry that can store multiple recognizers
    registry = pa.RecognizerRegistry()
    if model == Models.SPACY:
        # custom spacy recognizer
        spacy_recognizer = CustomSpacyRecognizer()
        # add the custom build spacy recognizer
        registry.add_recognizer(spacy_recognizer)
    elif model == Models.FLAIR:
        # pre-trained flair recognizer
        flair_recognizer = FlairRecognizer()
        # add the custom build flair recognizer
        registry.add_recognizer(flair_recognizer)
    elif model == Models.PATTERN:
        # add the pattern recognizer
        pattern_recognizer_factory = PatternRecognizerFactory()
        for recognizer in pattern_recognizer_factory._create_pattern_recognizer():
            registry.add_recognizer(recognizer)
    elif model == Models.WHOLE:
        spacy_recognizer = CustomSpacyRecognizer()
        flair_recognizer = FlairRecognizer()
        registry.add_recognizer(spacy_recognizer)
        registry.add_recognizer(flair_recognizer)
        # add the pattern recognizer
        pattern_recognizer_factory = PatternRecognizerFactory()
        for recognizer in pattern_recognizer_factory._create_pattern_recognizer():
            registry.add_recognizer(recognizer)
    elif not model and entities:
        if set(entities) & CustomSpacyRecognizer.RECOGNIZABLE_ENTITIES:
            spacy_recognizer = CustomSpacyRecognizer()
            registry.add_recognizer(spacy_recognizer)
        if set(entities) & FlairRecognizer.RECOGNIZABLE_ENTITIES:
            flair_recognizer = FlairRecognizer()
            registry.add_recognizer(flair_recognizer)
        # add the pattern recognizer
        if set(entities) & (set(PatternRecognizerFactory.RECOGNIZABLE_ENTITIES.keys())):
            pattern_recognizer_factory = PatternRecognizerFactory()
            for recognizer in pattern_recognizer_factory._create_pattern_recognizer():
                registry.add_recognizer(recognizer)
    else:
        raise ValueError(
            f"argument of model and entities can not be None at the same time"
        )
    analyzer = pa.AnalyzerEngine(
        registry=registry,
        supported_languages=["en"],
    )

    supported_entities = analyzer.get_supported_entities()

    if entities and not all(item in supported_entities for item in entities):
        not_supported_entities = [
            item for item in entities if item not in supported_entities
        ]
        raise ValueError(
            f"The current model {model} doesn't support the following entities: {not_supported_entities}. "
            f"Supported entities are: {supported_entities}"
        )
    return analyzer


def _get_anonymizer_engine() -> pre_anoymizer.AnonymizerEngine:
    """
    Return AnonymizerEngine.

    :returns: The AnonymizerEngine.
    """
    return pre_anoymizer.AnonymizerEngine()


def _anonymize(
    text: str,
    analyze_results: List[pa.RecognizerResult],
    entity_operator_map: dict = None,
    is_full_text: bool = True,
) -> str:
    """
    Anonymize identified input using Presidio Abonymizer.

    :param text:                The text for analysis.
    :param analyze_results:     The list of Presidio RecognizerResult constructed from
    :param entity_operator_map: The entity_operator_map is a dictionary that maps entity to operator name and operator params.
    :param is_full_text:        Whether the text is full text or not.

    :returns: The anonymized text.
    """
    if not text:
        return ""

    anonymizer_engine = _get_anonymizer_engine()
    if not entity_operator_map:
        operators = None
    else:
        # Create OperatorConfig based on the entity_operator_map
        operators = {
            entity: OperatorConfig(operator_name, operator_params)
            for entity, (operator_name, operator_params) in entity_operator_map.items()
        }

    if is_full_text:
        # Anonymize the entire text
        return anonymizer_engine.anonymize(
            text=text, analyzer_results=analyze_results, operators=operators
        ).text
    # Tokenize the text to sentences
    sentences = nltk.sent_tokenize(text)
    anonymized_sentences = []
    current_idx = 0

    # Find the sentence that has pii entity
    for sentence in sentences:
        start_idx = current_idx
        end_idx = start_idx + len(sentence)

        # Get the entities that are in the sentence, update hte start_idx and end_idx
        sentence_results = [
            pa.RecognizerResult(
                result.entity_type,
                start=result.start - start_idx,
                end=result.end - start_idx,
                score=result.score,
            )
            for result in analyze_results
            if result.start >= start_idx and result.end <= end_idx
        ]

        # If PII is detected
        if sentence_results:
            anonymized_sentence = anonymizer_engine.anonymize(
                text=sentence, analyzer_results=sentence_results, operators=operators
            ).text
            anonymized_sentences.append(anonymized_sentence)

        current_idx = end_idx

    return " ".join(anonymized_sentences)


def _get_tokens(
    text: str, analyze_results: List[pa.RecognizerResult], is_full: bool = True
) -> List[str]:
    """
    Get the full tokens or only contains the entities that can form a sentence.

    :param text:            The text for analysis.
    :param analyze_results: The list of Presidio RecognizerResult constructed from
    :param is_full:         Whether return full tokens or just the tokens that only contains the entities that can form a sentence.

    :returns: The tokens.
    """

    tokens = []
    # sort by start index
    results = sorted(analyze_results, key=lambda x: x.start)
    for i, res in enumerate(results):
        if i == 0:
            tokens.append(text[: res.start])

        # append entity text and entity type
        tokens.append((text[res.start : res.end], res.entity_type))

        # if another entity coming i.e. we're not at the last results element,
        # add text up to next entity
        if i != len(results) - 1:
            tokens.append(text[res.end : results[i + 1].start])
        # if no more entities coming, add all remaining text
        else:
            tokens.append(text[res.end :])

    # get the tokens that only contains the entities that can form a sentence
    part_annontated_tokens = []
    if not is_full:
        last_end_sentence = 0
        for i, token in enumerate(tokens):
            if any(item in token for item in [".", "!", "?"]) and any(
                type(item) is tuple for item in tokens[last_end_sentence:i]
            ):
                part_annontated_tokens.append(tokens[last_end_sentence:i])
                last_end_sentence = i
        return part_annontated_tokens
    return tokens


def _annotate(
    text: str, st_analyze_results: List[pa.RecognizerResult], is_full_html: bool = True
) -> List[str]:
    """
    Annotate identified input using Presidio Anonymizer.

    :param text:               The text for analysis.
    :param st_analyze_results: The list of Presidio RecognizerResult constructed from analysis.
    :param is_full_html:       Whether generate full html or not.

    :returns: The list of tokens with the identified entities.

    """
    return _get_tokens(text, st_analyze_results, is_full_html)


def _process(
    text: str,
    model: pa.AnalyzerEngine,
    score_threshold: float,
    entities: List[str] = None,
    entities_operator_map: dict = None,
    is_full_text: bool = True,
) -> Tuple[str, list]:
    """
    Process the text of str using the model.

    :param text:                  Text to process
    :param model:                 Model to use for processing
    :param entities:              Entities to recognize
    :param entities_operator_map: The entity_operator_map is a dictionary that maps entity to operator name and operator params.
    :param score_threshold:       The score threshold to use for recognition
    :param is_full_text:          Whether to return the full text or just the annotated text

    :returns: A tuple of:

              * the anonymized text
              * the list of Presidio RecognizerResult constructed from analysis
    """

    # get the analyzer engine
    analyzer = model

    # analyze the text that can be used for anonymization
    results = analyzer.analyze(
        text=text,
        language="en",
        entities=entities,
        score_threshold=score_threshold,
        return_decision_process=True,
    )

    # anonymize the text, replace the pii entities with the labels
    anonymized_text = _anonymize(text, results, entities_operator_map, is_full_text)

    return anonymized_text, results


def _get_single_html(
    text: str, results: List[pa.RecognizerResult], is_full_html: bool = True
):
    """
    Generate the html for a single txt file.

    :param text:         The text for analysis.
    :param results:      The list of Presidio RecognizerResult constructed from analysis.
    :param is_full_html: Whether generate full html or not.

    :returns: The html string for a single txt file.
    """
    # convert the results to tokens to generate the html
    tokens = _annotate(text, results, is_full_html)
    html = at_util.get_annotated_html(*tokens)

    # avoid the error during rendering of the \n in the html
    backslash_char = "\\"

    html_str = f"<p>{html.replace('{backslash_char}n', '<br>')}</p>"

    return html_str


def _get_single_json(results: List[pa.RecognizerResult], is_full_report: bool = True):
    """
    Generate the json for a single txt file.

    :param results:        The list of Presidio RecognizerResult constructed from analysis.
    :param is_full_report: Whether generate full json or not.

    :returns: The json string for a single txt file.
    """
    # generate the stats report if needed
    if not is_full_report:
        stats = []
        # add the simplify stats logic here
        for item in results:
            item.analysis_explanation = None
            stats.append(item)
    else:
        stats = results

    return stats


def _get_all_html(
    txt_content: dict,
    res_dict: dict,
    is_full_html: bool = True,
):
    """
    Generate the html for all txt files.

    :param txt_content:  The dictionary of txt file name and content.
    :param res_dict:     The dictionary of txt file name and the list of Presidio RecognizerResult constructed from analysis.
    :param is_full_html: Whether generate full html or not.

    :returns: The html string for all txt files.

    """
    # These are placeholder for the html string
    html_index = "<html><head><title>Highlighted Pii Entities</title></head><body><h1>Highlighted Pii Entities</h1><ul>"
    html_content = ""
    for txt_file, results in res_dict.items():
        txt = txt_content[txt_file]
        html_index += f"<li><a href='#{txt_file}'>{txt_file}</a></li>"
        html_content += f"<li><h2>{txt_file}</h2><p>{_get_single_html(txt, results, is_full_html)}</p></li>"
    html_index += "</ul>"
    html_res = f"{html_index}{html_content}</body></html>"

    return html_res


def _get_all_rpt(res_dict: dict, is_full_report: bool = True):
    """
    Generate the stats report for all txt files.

    :param res_dict:       The dictionary of txt file name and the list of Presidio RecognizerResult constructed from analysis.
    :param is_full_report: Whether generate full report or not.

    :returns: The stats report for all txt files.
    """
    # These are placeholder for the json report
    stats_dict = {}
    for txt_file, results in res_dict.items():
        new_stats = []
        for item in _get_single_json(results, is_full_report):
            if is_full_report:
                item.analysis_explanation = item.analysis_explanation.to_dict()
                new_stats.append(item.to_dict())
            else:
                tmp_dict = item.to_dict()
                tmp_dict.pop("analysis_explanation")
                tmp_dict.pop("recognition_metadata")
                new_stats.append(tmp_dict)
        stats_dict[txt_file] = new_stats
    return stats_dict


def recognize_pii(
    context: mlrun.MLClientCtx,
    input_path: Union[str, pathlib.Path],
    html_key: str,
    score_threshold: float,
    output_directory: str = None,
    entities: List[
        str
    ] = None,  # List of entities to recognize, default is recognizing all
    entity_operator_map: dict = None,
    model: str = None,
    generate_json: bool = True,
    generate_html: bool = True,
    is_full_text: bool = True,
    is_full_html: bool = True,
    is_full_report: bool = True,
) -> Union[Tuple[str, pd.DataFrame, dict, dict], Tuple[str, pd.DataFrame, dict]]:
    """
    Walk through the input path, recognize PII in text and store the anonymized text in the output path.
    Generate the html with different colors for each entity, json report of the explanation.

    :param context:              The MLRun context. this is needed for log the artifacts.
    :param input_path:           The input path of the text files needs to be analyzed.
    :param html_key:             The html key for the artifact.
    :param score_threshold:      The score threshold to mark the recognition as trusted.
    :param output_directory:     The output directory path to store the anonymized text.
    :param entities:             The list of entities to recognize.
    :param entity_operator_map:  The map of entity to operator (mask, redact, replace, keep, hash, and its params)
    :param model:                The model to use. Can be "spacy", "flair", "pattern" or "whole".
    :param generate_json:        Whether to generate the json report of the explanation.
    :param generate_html:        Whether to generate the html report of the explanation.
    :param is_full_text:         Whether to return the full text or only the masked text.
    :param is_full_html:         Whether to return the full html or just the annotated text
    :param is_full_report:       Whether to return the full report or just the score and start, end index

    :returns: A tuple of:

              * Path to the output directory
              * The json report of the explanation (if generate_json is True)
              * A dictionary of errors files that were not processed

    """

    # Set output directory
    if output_directory is None:
        output_directory = tempfile.mkdtemp()

    # Create the output directory:
    output_directory = pathlib.Path(output_directory)
    if not output_directory.exists():
        output_directory.mkdir(parents=True, exist_ok=True)

    txt_files_directory = pathlib.Path(input_path)
    successes = []
    errors = {}

    res_dict = {}
    txt_content = {}
    # Load the model:
    analyzer = _get_analyzer_engine(model, entities)
    logger.info("Model loaded")
    # Go over the text files in the input path, analyze and anonymize them:
    for txt_file in tqdm(
        list(txt_files_directory.glob("*.txt")),
        desc="Processing files",
        unit="file",
    ):
        try:
            # Load the str from the text file
            text = txt_file.read_text()
            txt_content[str(txt_file)] = text
            # Process the text to recoginze the pii entities in it
            anonymized_text, results = _process(
                text=text,
                model=analyzer,
                entities=entities,
                entities_operator_map=entity_operator_map,
                score_threshold=score_threshold,
                is_full_text=is_full_text,
            )
            res_dict[str(txt_file)] = results
            # Store the anonymized text in the output path
            output_file = output_directory / f"{txt_file.stem}.txt"
            output_file.parent.mkdir(parents=True, exist_ok=True)
            with open(output_file, "w") as f:
                f.write(anonymized_text)
            successes.append([txt_file.name, output_file.name])
        except Exception as e:
            errors[str(txt_file)] = str(e)
            logger.error(f"Error processing {txt_file}: {e}")

    successes = pd.DataFrame(
        successes,
        columns=["original_file", "anonymized_file"],
    )

    if generate_html:
        # Generate the html report
        html_res = _get_all_html(txt_content, res_dict, is_full_html)
        # Store the html report in the context
        arti_html = mlrun.artifacts.Artifact(body=html_res, format="html", key=html_key)
        context.log_artifact(arti_html)
    if generate_json:
        # Generate the json report
        json_res = _get_all_rpt(res_dict, is_full_report)
        return str(output_directory), successes, errors, json_res
    return str(output_directory), successes, errors

+    base_image: mlrun/mlrun
+    commands: []
+    code_origin: ''
+    origin_filename: ''
+    requirements:
+    - nltk
+    - pandas
+    - presidio-anonymizer
+    - presidio-analyzer
+    - torch
+    - flair@git+https://github.com/flairNLP/flair.git@d4ed67bf663e4066517f00397412510d90043653
+    - st-annotated-text
+    - https://huggingface.co/beki/en_spacy_pii_distilbert/resolve/main/en_spacy_pii_distilbert-any-py3-none-any.whl
+  entry_points:
+    analyze:
+      name: analyze
+      doc: Analyze text and return the results.
+      parameters:
+      - name: self
+      - name: text
+        type: str
+        doc: The text for analysis.
+      - name: entities
+        type: List[str]
+        doc: The list of entities to recognize.
+      - name: nlp_artifacts
+        type: pa.nlp_engine.NlpArtifacts
+        doc: Not used by this recognizer but needed for the interface.
+        default: null
+      outputs:
+      - doc: The list of Presidio RecognizerResult constructed from the recognized
+          Flair detections.
+        type: List[pa.RecognizerResult]
+      lineno: 381
+      has_varargs: false
+      has_kwargs: false
+    recognize_pii:
+      name: recognize_pii
+      doc: 'Walk through the input path, recognize PII in text and store the anonymized
+        text in the output path.
+
+        Generate the html with different colors for each entity, json report of the
+        explanation.'
+      parameters:
+      - name: context
+        type: MLClientCtx
+        doc: The MLRun context. this is needed for log the artifacts.
+      - name: input_path
+        type: Union[str, Path]
+        doc: The input path of the text files needs to be analyzed.
+      - name: html_key
+        type: str
+        doc: The html key for the artifact.
+      - name: score_threshold
+        type: float
+        doc: The score threshold to mark the recognition as trusted.
+      - name: output_directory
+        type: str
+        doc: The output directory path to store the anonymized text.
+        default: null
+      - name: entities
+        type: List[str]
+        doc: The list of entities to recognize.
+        default: null
+      - name: entity_operator_map
+        type: dict
+        doc: The map of entity to operator (mask, redact, replace, keep, hash, and
+          its params)
+        default: null
+      - name: model
+        type: str
+        doc: The model to use. Can be "spacy", "flair", "pattern" or "whole".
+        default: null
+      - name: generate_json
+        type: bool
+        doc: Whether to generate the json report of the explanation.
+        default: true
+      - name: generate_html
+        type: bool
+        doc: Whether to generate the html report of the explanation.
+        default: true
+      - name: is_full_text
+        type: bool
+        doc: Whether to return the full text or only the masked text.
+        default: true
+      - name: is_full_html
+        type: bool
+        doc: Whether to return the full html or just the annotated text
+        default: true
+      - name: is_full_report
+        type: bool
+        doc: Whether to return the full report or just the score and start, end index
+        default: true
+      outputs:
+      - doc: 'A tuple of:'
+        type: Union[Tuple[str, pd.DataFrame, dict, dict], Tuple[str, pd.DataFrame,
+          dict]]
+      lineno: 845
+      has_varargs: false
+      has_kwargs: false
+  description: This function is used to recognize PII in a directory of text files
+  default_handler: recognize_pii
+  disable_auto_mount: false
+  clone_target_dir: ''
+  env: []
+  priority_class_name: ''
+  preemption_mode: prevent
+  affinity: null
+  tolerations: null
+  security_context: {}
+verbose: false
+
+        </code>
+    </pre>
+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/pii_recognizer/0.3.0/static/item.html b/functions/master/pii_recognizer/0.3.0/static/item.html
new file mode 100644
index 00000000..6cc24fb1
--- /dev/null
+++ b/functions/master/pii_recognizer/0.3.0/static/item.html
@@ -0,0 +1,57 @@
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta content="IE=edge" http-equiv="X-UA-Compatible">
+    <meta content="width=device-width, initial-scale=1.0" name="viewport">
+    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/styles/atom-one-dark.min.css">
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/highlight.min.js"></script>
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/languages/yaml.min.js"></script>
+    <title>Source</title>
+    <script>hljs.highlightAll();</script>
+</head>
+
+<body style="background-color:darkgray; margin: 0 0 0 0;">
+    <pre style="margin: 0 1em;">
+        <code class="yaml">
+apiVersion: v1
+categories: 
+  - machine-learning
+  - data-preparation
+  - NLP
+description: This function is used to recognize PII in a directory of text files
+doc: ''
+example: pii_recognizer.ipynb
+generationDate: 2023-08-15:10-24
+hidden: false
+icon: ''
+labels:
+  author: pgw
+maintainers: []
+marketplaceType: ''
+mlrunVersion: 1.4.0
+name: pii-recognizer
+platformVersion: 3.5.3
+spec:
+  filename: pii_recognizer.py
+  handler: recognize_pii
+  image: mlrun/mlrun
+  kind: job
+  requirements:
+   - nltk
+   - pandas
+   - presidio-anonymizer
+   - presidio-analyzer
+   - torch
+   - flair@git+https://github.com/flairNLP/flair.git@d4ed67bf663e4066517f00397412510d90043653
+   - st-annotated-text
+   - https://huggingface.co/beki/en_spacy_pii_distilbert/resolve/main/en_spacy_pii_distilbert-any-py3-none-any.whl
+url: ''
+version: 0.3.0
+test_valid: False
+
+        </code>
+    </pre>
+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/pii_recognizer/0.3.0/static/pii_recognizer.html b/functions/master/pii_recognizer/0.3.0/static/pii_recognizer.html
new file mode 100644
index 00000000..81545aed
--- /dev/null
+++ b/functions/master/pii_recognizer/0.3.0/static/pii_recognizer.html
@@ -0,0 +1,1091 @@
+
+<!DOCTYPE html>
+
+<html lang="en">
+<head>
+<meta charset="utf-8"/>
+<meta content="width=device-width, initial-scale=1.0" name="viewport"/>
+<title>pii_recognizer.pii_recognizer</title>
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+</label>
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+<span class="headerbtn__icon-container">
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+</span>
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+<main id="main-content" role="main">
+<div>
+<h1>Source code for pii_recognizer.pii_recognizer</h1><div class="highlight"><pre>
+<span></span><span class="c1"># Copyright 2023 Iguazio</span>
+<span class="c1">#</span>
+<span class="c1"># Licensed under the Apache License, Version 2.0 (the "License");</span>
+<span class="c1"># you may not use this file except in compliance with the License.</span>
+<span class="c1"># You may obtain a copy of the License at</span>
+<span class="c1">#</span>
+<span class="c1">#   http://www.apache.org/licenses/LICENSE-2.0</span>
+<span class="c1">#</span>
+<span class="c1"># Unless required by applicable law or agreed to in writing, software</span>
+<span class="c1"># distributed under the License is distributed on an "AS IS" BASIS,</span>
+<span class="c1"># WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.</span>
+<span class="c1"># See the License for the specific language governing permissions and</span>
+<span class="c1"># limitations under the License.</span>
+
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">import</span> <span class="nn">pathlib</span>
+<span class="kn">import</span> <span class="nn">tempfile</span>
+<span class="kn">import</span> <span class="nn">warnings</span>
+<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">List</span><span class="p">,</span> <span class="n">Set</span><span class="p">,</span> <span class="n">Tuple</span><span class="p">,</span> <span class="n">Union</span>
+
+<span class="kn">import</span> <span class="nn">annotated_text.util</span> <span class="k">as</span> <span class="nn">at_util</span>
+<span class="kn">import</span> <span class="nn">mlrun</span>
+<span class="kn">import</span> <span class="nn">nltk</span>
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="kn">import</span> <span class="nn">presidio_analyzer</span> <span class="k">as</span> <span class="nn">pa</span>
+<span class="kn">import</span> <span class="nn">presidio_anonymizer</span> <span class="k">as</span> <span class="nn">pre_anoymizer</span>
+<span class="kn">from</span> <span class="nn">presidio_anonymizer.entities</span> <span class="kn">import</span> <span class="n">OperatorConfig</span>
+<span class="kn">from</span> <span class="nn">tqdm</span> <span class="kn">import</span> <span class="n">tqdm</span>
+
+<span class="k">try</span><span class="p">:</span>
+    <span class="kn">import</span> <span class="nn">flair</span> <span class="k">as</span> <span class="nn">fl</span>
+<span class="k">except</span> <span class="ne">ModuleNotFoundError</span><span class="p">:</span>
+    <span class="nb">print</span><span class="p">(</span><span class="s2">"Flair is not installed"</span><span class="p">)</span>
+
+<span class="c1"># There is a conflict between Rust-based tokenizers' parallel processing</span>
+<span class="c1"># and Python's fork operations during multiprocessing. To avoid this, we need</span>
+<span class="c1"># the following two lines</span>
+
+<span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">[</span><span class="s2">"TOKENIZERS_PARALLELISM"</span><span class="p">]</span> <span class="o">=</span> <span class="s2">"false"</span>
+<span class="n">warnings</span><span class="o">.</span><span class="n">filterwarnings</span><span class="p">(</span><span class="s2">"ignore"</span><span class="p">)</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="s2">"pii-recognizer"</span><span class="p">)</span>
+
+
+<span class="c1"># Add the constant classes of Models and Entities to govern the whole package</span>
+<div class="viewcode-block" id="Models"><a class="viewcode-back" href="documentation.html#pii_recognizer.pii_recognizer.Models">[docs]</a><span class="k">class</span> <span class="nc">Models</span><span class="p">:</span>
+    <span class="n">WHOLE</span> <span class="o">=</span> <span class="s2">"whole"</span>
+    <span class="n">PATTERN</span> <span class="o">=</span> <span class="s2">"pattern"</span>
+    <span class="n">SPACY</span> <span class="o">=</span> <span class="s2">"spacy"</span>
+    <span class="n">FLAIR</span> <span class="o">=</span> <span class="s2">"flair"</span></div>
+
+
+<div class="viewcode-block" id="Entities"><a class="viewcode-back" href="documentation.html#pii_recognizer.pii_recognizer.Entities">[docs]</a><span class="k">class</span> <span class="nc">Entities</span><span class="p">:</span>
+    <span class="n">CREDIT_CARD</span> <span class="o">=</span> <span class="s2">"CREDIT_CARD"</span>
+    <span class="n">SSN</span> <span class="o">=</span> <span class="s2">"SSN"</span>
+    <span class="n">PHONE</span> <span class="o">=</span> <span class="s2">"PHONE"</span>
+    <span class="n">EMAIL</span> <span class="o">=</span> <span class="s2">"EMAIL"</span>
+    <span class="n">LOCATION</span> <span class="o">=</span> <span class="s2">"LOCATION"</span>
+    <span class="n">PERSON</span> <span class="o">=</span> <span class="s2">"PERSON"</span>
+    <span class="n">NRP</span> <span class="o">=</span> <span class="s2">"NRP"</span>
+    <span class="n">ORGANIZATION</span> <span class="o">=</span> <span class="s2">"ORGANIZATION"</span>
+    <span class="n">DATE_TIME</span> <span class="o">=</span> <span class="s2">"DATE_TIME"</span>
+    <span class="n">GPE</span> <span class="o">=</span> <span class="p">(</span><span class="s2">"GPE"</span><span class="p">,)</span>
+    <span class="n">MAC_ADDRESS</span> <span class="o">=</span> <span class="s2">"MAC_ADDRESS"</span>
+    <span class="n">US_BANK_NUMBER</span> <span class="o">=</span> <span class="s2">"US_BANK_NUMBER"</span>
+    <span class="n">IMEI</span> <span class="o">=</span> <span class="s2">"IMEI"</span>
+    <span class="n">TITLE</span> <span class="o">=</span> <span class="s2">"TITLE"</span>
+    <span class="n">LICENSE_PLATE</span> <span class="o">=</span> <span class="s2">"LICENSE_PLATE"</span>
+    <span class="n">US_PASSPORT</span> <span class="o">=</span> <span class="s2">"US_PASSPORT"</span>
+    <span class="n">CURRENCY</span> <span class="o">=</span> <span class="s2">"CURRENCY"</span>
+    <span class="n">ROUTING_NUMBER</span> <span class="o">=</span> <span class="s2">"ROUTING_NUMBER"</span>
+    <span class="n">US_ITIN</span> <span class="o">=</span> <span class="s2">"US_ITIN"</span>
+    <span class="n">US_BANK_NUMBER</span> <span class="o">=</span> <span class="s2">"US_BANK_NUMBER"</span>
+    <span class="n">US_DRIVER_LICENSE</span> <span class="o">=</span> <span class="s2">"US_DRIVER_LICENSE"</span>
+    <span class="n">AGE</span> <span class="o">=</span> <span class="s2">"AGE"</span>
+    <span class="n">PASSWORD</span> <span class="o">=</span> <span class="s2">"PASSWORD"</span>
+    <span class="n">SWIFT_CODE</span> <span class="o">=</span> <span class="s2">"SWIFT_CODE"</span></div>
+
+
+<div class="viewcode-block" id="PatternRecognizerFactory"><a class="viewcode-back" href="documentation.html#pii_recognizer.pii_recognizer.PatternRecognizerFactory">[docs]</a><span class="k">class</span> <span class="nc">PatternRecognizerFactory</span><span class="p">:</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    Factory for creating pattern recognizers, it can be extended in the future to</span>
+<span class="sd">    add more regex pattern for different entities. For the pattern recognizer to work,</span>
+<span class="sd">    we need construct a list of regex patterns for each entity.</span>
+<span class="sd">    """</span>
+
+    <span class="n">RECOGNIZABLE_ENTITIES</span> <span class="o">=</span> <span class="p">{</span>
+        <span class="s2">"CREDIT_CARD"</span><span class="p">:</span> <span class="p">[</span><span class="n">pa</span><span class="o">.</span><span class="n">Pattern</span><span class="p">(</span><span class="s2">"CREDIT_CARD"</span><span class="p">,</span> <span class="sa">r</span><span class="s2">"\b(?:\d[ -]*?){13,16}\b"</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">)],</span>
+        <span class="s2">"SSN"</span><span class="p">:</span> <span class="p">[</span><span class="n">pa</span><span class="o">.</span><span class="n">Pattern</span><span class="p">(</span><span class="s2">"SSN"</span><span class="p">,</span> <span class="sa">r</span><span class="s2">"\b\d</span><span class="si">{3}</span><span class="s2">-?\d</span><span class="si">{2}</span><span class="s2">-?\d</span><span class="si">{4}</span><span class="s2">\b"</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">)],</span>
+        <span class="s2">"PHONE"</span><span class="p">:</span> <span class="p">[</span><span class="n">pa</span><span class="o">.</span><span class="n">Pattern</span><span class="p">(</span><span class="s2">"PHONE"</span><span class="p">,</span> <span class="sa">r</span><span class="s2">"\(?\d</span><span class="si">{3}</span><span class="s2">\)?[-.\s]?\d</span><span class="si">{3}</span><span class="s2">[-.\s]?\d</span><span class="si">{4}</span><span class="s2">"</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">)],</span>
+        <span class="s2">"EMAIL"</span><span class="p">:</span> <span class="p">[</span><span class="n">pa</span><span class="o">.</span><span class="n">Pattern</span><span class="p">(</span><span class="s2">"EMAIL"</span><span class="p">,</span> <span class="sa">r</span><span class="s2">"\S+@\S+"</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">)],</span>
+    <span class="p">}</span>
+
+    <span class="c1"># create a list of pattern recognizers</span>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">_create_pattern_recognizer</span><span class="p">(</span><span class="bp">cls</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        For each entity, create a list of patterns to recognize it</span>
+
+<span class="sd">        :param cls: PatternRecognizerFactory class</span>
+
+<span class="sd">        :returns: List of pattern recognizers</span>
+<span class="sd">        """</span>
+
+        <span class="c1"># Entities to recognize and their regex patterns</span>
+
+        <span class="k">return</span> <span class="p">[</span>
+            <span class="n">pa</span><span class="o">.</span><span class="n">PatternRecognizer</span><span class="p">(</span><span class="n">supported_entity</span><span class="o">=</span><span class="n">entity</span><span class="p">,</span> <span class="n">patterns</span><span class="o">=</span><span class="n">pattern</span><span class="p">)</span>
+            <span class="k">for</span> <span class="n">entity</span><span class="p">,</span> <span class="n">pattern</span> <span class="ow">in</span> <span class="bp">cls</span><span class="o">.</span><span class="n">RECOGNIZABLE_ENTITIES</span><span class="o">.</span><span class="n">items</span><span class="p">()</span>
+        <span class="p">]</span></div>
+
+
+<div class="viewcode-block" id="CustomSpacyRecognizer"><a class="viewcode-back" href="documentation.html#pii_recognizer.pii_recognizer.CustomSpacyRecognizer">[docs]</a><span class="k">class</span> <span class="nc">CustomSpacyRecognizer</span><span class="p">(</span><span class="n">pa</span><span class="o">.</span><span class="n">LocalRecognizer</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    Custom Spacy Recognizer from Presidio Analyzer trained on Privy data.</span>
+<span class="sd">    The privy data is generated using this https://github.com/pixie-io/pixie/tree/main/src/datagen/pii/privy</span>
+<span class="sd">    It can be used to recognize custom entities, Since we want to use Presidio's Registries to generate AnalyzerEngine,</span>
+<span class="sd">    it inherits from Presidio Analyzer's LocalRecognizer class.</span>
+<span class="sd">    """</span>
+
+    <span class="c1"># Entities to recognize</span>
+
+    <span class="n">RECOGNIZABLE_ENTITIES</span> <span class="o">=</span> <span class="p">{</span>
+        <span class="s2">"LOCATION"</span><span class="p">,</span>
+        <span class="s2">"PERSON"</span><span class="p">,</span>
+        <span class="s2">"NRP"</span><span class="p">,</span>
+        <span class="s2">"ORGANIZATION"</span><span class="p">,</span>
+        <span class="s2">"DATE_TIME"</span><span class="p">,</span>
+    <span class="p">}</span>
+
+    <span class="c1"># Default explanation for this recognizer</span>
+
+    <span class="n">_DEFAULT_EXPLANATION</span> <span class="o">=</span> <span class="p">(</span>
+        <span class="s2">"Identified as </span><span class="si">{}</span><span class="s2"> by Spacy's Named Entity Recognition (Privy-trained)"</span>
+    <span class="p">)</span>
+
+    <span class="c1"># Label groups to check</span>
+
+    <span class="n">_DEFAULT_CHECK_LABEL_GROUPS</span> <span class="o">=</span> <span class="p">[</span>
+        <span class="p">({</span><span class="s2">"LOCATION"</span><span class="p">},</span> <span class="p">{</span><span class="s2">"LOC"</span><span class="p">,</span> <span class="s2">"LOCATION"</span><span class="p">,</span> <span class="s2">"STREET_ADDRESS"</span><span class="p">,</span> <span class="s2">"COORDINATE"</span><span class="p">}),</span>
+        <span class="p">({</span><span class="s2">"PERSON"</span><span class="p">},</span> <span class="p">{</span><span class="s2">"PER"</span><span class="p">,</span> <span class="s2">"PERSON"</span><span class="p">}),</span>
+        <span class="p">({</span><span class="s2">"NRP"</span><span class="p">},</span> <span class="p">{</span><span class="s2">"NORP"</span><span class="p">,</span> <span class="s2">"NRP"</span><span class="p">}),</span>
+        <span class="p">({</span><span class="s2">"ORGANIZATION"</span><span class="p">},</span> <span class="p">{</span><span class="s2">"ORG"</span><span class="p">}),</span>
+        <span class="p">({</span><span class="s2">"DATE_TIME"</span><span class="p">},</span> <span class="p">{</span><span class="s2">"DATE_TIME"</span><span class="p">}),</span>
+    <span class="p">]</span>
+
+    <span class="c1"># pretrained model for this recognizer</span>
+
+    <span class="n">_DEFAULT_MODEL_LANGUAGES</span> <span class="o">=</span> <span class="p">{</span>
+        <span class="s2">"en"</span><span class="p">:</span> <span class="s2">"beki/en_spacy_pii_distilbert"</span><span class="p">,</span>
+    <span class="p">}</span>
+
+    <span class="n">_DEFAULT_PRESIDIO_EQUIVALENCES</span> <span class="o">=</span> <span class="p">{</span>
+        <span class="s2">"PER"</span><span class="p">:</span> <span class="s2">"PERSON"</span><span class="p">,</span>
+        <span class="s2">"LOC"</span><span class="p">:</span> <span class="s2">"LOCATION"</span><span class="p">,</span>
+        <span class="s2">"ORG"</span><span class="p">:</span> <span class="s2">"ORGANIZATION"</span><span class="p">,</span>
+        <span class="s2">"NROP"</span><span class="p">:</span> <span class="s2">"NRP"</span><span class="p">,</span>
+        <span class="s2">"DATE_TIME"</span><span class="p">:</span> <span class="s2">"DATE_TIME"</span><span class="p">,</span>
+    <span class="p">}</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">supported_language</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">"en"</span><span class="p">,</span>
+        <span class="n">supported_entities</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+        <span class="n">check_label_groups</span><span class="p">:</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Set</span><span class="p">,</span> <span class="n">Set</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+        <span class="n">context</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+        <span class="n">ner_strength</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mi">1</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Initialize Spacy Recognizer.</span>
+
+<span class="sd">        :param supported_language: Language to use, default is English</span>
+<span class="sd">        :param supported_entities: Entities to use for recognition</span>
+<span class="sd">        :param check_label_groups: Label groups to check for the entities</span>
+<span class="sd">        :param context:            Context to use if any</span>
+<span class="sd">        :param ner_strength:       Default confidence for NER prediction</span>
+
+<span class="sd">        :returns: SpacyRecognizer object</span>
+<span class="sd">        """</span>
+
+        <span class="c1"># Default confidence for NER prediction</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">ner_strength</span> <span class="o">=</span> <span class="n">ner_strength</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">check_label_groups</span> <span class="o">=</span> <span class="n">check_label_groups</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">_DEFAULT_CHECK_LABEL_GROUPS</span>
+        <span class="n">supported_entities</span> <span class="o">=</span> <span class="n">supported_entities</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">RECOGNIZABLE_ENTITIES</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span>
+            <span class="n">supported_entities</span><span class="o">=</span><span class="n">supported_entities</span><span class="p">,</span>
+            <span class="n">supported_language</span><span class="o">=</span><span class="n">supported_language</span><span class="p">,</span>
+        <span class="p">)</span>
+
+    <span class="c1"># get the presidio explanation for the result</span>
+
+    <span class="k">def</span> <span class="nf">_build_spacy_explanation</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span> <span class="n">original_score</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span> <span class="n">explanation</span><span class="p">:</span> <span class="nb">str</span>
+    <span class="p">)</span> <span class="o">-&gt;</span> <span class="n">pa</span><span class="o">.</span><span class="n">AnalysisExplanation</span><span class="p">:</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Create explanation for why this result was detected.</span>
+
+<span class="sd">        :param original_score: Score given by this recognizer</span>
+<span class="sd">        :param explanation:    Explanation string</span>
+
+<span class="sd">        :returns: Presidio AnalysisExplanation object</span>
+<span class="sd">        """</span>
+        <span class="n">explanation</span> <span class="o">=</span> <span class="n">pa</span><span class="o">.</span><span class="n">AnalysisExplanation</span><span class="p">(</span>
+            <span class="n">recognizer</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="vm">__class__</span><span class="o">.</span><span class="vm">__name__</span><span class="p">,</span>
+            <span class="n">original_score</span><span class="o">=</span><span class="n">original_score</span><span class="p">,</span>
+            <span class="n">textual_explanation</span><span class="o">=</span><span class="n">explanation</span><span class="p">,</span>
+        <span class="p">)</span>
+        <span class="k">return</span> <span class="n">explanation</span>
+
+    <span class="c1"># main method for the recognizer</span>
+<div class="viewcode-block" id="CustomSpacyRecognizer.analyze"><a class="viewcode-back" href="documentation.html#pii_recognizer.pii_recognizer.CustomSpacyRecognizer.analyze">[docs]</a>    <span class="k">def</span> <span class="nf">analyze</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">text</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">entities</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">],</span> <span class="n">nlp_artifacts</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>  <span class="c1"># noqa D102</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Analyze text using Spacy.</span>
+
+<span class="sd">        :param text:          Text to analyze</span>
+<span class="sd">        :param entities:      Entities to analyze</span>
+<span class="sd">        :param nlp_artifacts: NLP artifacts to use</span>
+
+<span class="sd">        :returns: List of Presidio RecognizerResult objects</span>
+<span class="sd">        """</span>
+        <span class="n">results</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="k">if</span> <span class="ow">not</span> <span class="n">nlp_artifacts</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="s2">"Skipping SpaCy, nlp artifacts not provided..."</span><span class="p">)</span>
+            <span class="k">return</span> <span class="n">results</span>
+
+        <span class="n">ner_entities</span> <span class="o">=</span> <span class="n">nlp_artifacts</span><span class="o">.</span><span class="n">entities</span>
+
+        <span class="c1"># recognize the supported entities</span>
+        <span class="k">for</span> <span class="n">entity</span> <span class="ow">in</span> <span class="n">entities</span><span class="p">:</span>
+            <span class="k">if</span> <span class="n">entity</span> <span class="ow">not</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">supported_entities</span><span class="p">:</span>
+                <span class="k">continue</span>
+            <span class="k">for</span> <span class="n">ent</span> <span class="ow">in</span> <span class="n">ner_entities</span><span class="p">:</span>
+                <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">__check_label</span><span class="p">(</span><span class="n">entity</span><span class="p">,</span> <span class="n">ent</span><span class="o">.</span><span class="n">label_</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">check_label_groups</span><span class="p">):</span>
+                    <span class="k">continue</span>
+
+                <span class="c1"># string of the explanation saying the entity is recognized by spacy</span>
+                <span class="n">textual_explanation</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_DEFAULT_EXPLANATION</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">ent</span><span class="o">.</span><span class="n">label_</span><span class="p">)</span>
+                <span class="n">explanation</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_build_spacy_explanation</span><span class="p">(</span>
+                    <span class="bp">self</span><span class="o">.</span><span class="n">ner_strength</span><span class="p">,</span> <span class="n">textual_explanation</span>
+                <span class="p">)</span>
+
+                <span class="c1"># create the standard result with the entity, start, end, score, and explanation</span>
+                <span class="n">spacy_result</span> <span class="o">=</span> <span class="n">pa</span><span class="o">.</span><span class="n">RecognizerResult</span><span class="p">(</span>
+                    <span class="n">entity_type</span><span class="o">=</span><span class="n">entity</span><span class="p">,</span>
+                    <span class="n">start</span><span class="o">=</span><span class="n">ent</span><span class="o">.</span><span class="n">start_char</span><span class="p">,</span>
+                    <span class="n">end</span><span class="o">=</span><span class="n">ent</span><span class="o">.</span><span class="n">end_char</span><span class="p">,</span>
+                    <span class="n">score</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">ner_strength</span><span class="p">,</span>
+                    <span class="n">analysis_explanation</span><span class="o">=</span><span class="n">explanation</span><span class="p">,</span>
+                    <span class="n">recognition_metadata</span><span class="o">=</span><span class="p">{</span>
+                        <span class="n">pa</span><span class="o">.</span><span class="n">RecognizerResult</span><span class="o">.</span><span class="n">RECOGNIZER_NAME_KEY</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">name</span>
+                    <span class="p">},</span>
+                <span class="p">)</span>
+                <span class="n">results</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">spacy_result</span><span class="p">)</span>
+
+        <span class="k">return</span> <span class="n">results</span></div>
+
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">__check_label</span><span class="p">(</span>
+        <span class="n">entity</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">label</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">check_label_groups</span><span class="p">:</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Set</span><span class="p">,</span> <span class="n">Set</span><span class="p">]</span>
+    <span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span><span class="p">:</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Check if the label is in the label group.</span>
+
+<span class="sd">        :param entity:             Entity to check</span>
+<span class="sd">        :param label:              Label to check</span>
+<span class="sd">        :param check_label_groups: Label groups to check</span>
+
+<span class="sd">        :returns: True if the label is in the label group, False otherwise</span>
+<span class="sd">        """</span>
+        <span class="k">return</span> <span class="nb">any</span><span class="p">(</span>
+            <span class="n">entity</span> <span class="ow">in</span> <span class="n">egrp</span> <span class="ow">and</span> <span class="n">label</span> <span class="ow">in</span> <span class="n">lgrp</span> <span class="k">for</span> <span class="n">egrp</span><span class="p">,</span> <span class="n">lgrp</span> <span class="ow">in</span> <span class="n">check_label_groups</span>
+        <span class="p">)</span></div>
+
+
+<span class="c1"># Class to use Flair with Presidio as an external recognizer.</span>
+<div class="viewcode-block" id="FlairRecognizer"><a class="viewcode-back" href="documentation.html#pii_recognizer.pii_recognizer.FlairRecognizer">[docs]</a><span class="k">class</span> <span class="nc">FlairRecognizer</span><span class="p">(</span><span class="n">pa</span><span class="o">.</span><span class="n">EntityRecognizer</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    Wrapper for a flair model, if needed to be used within Presidio Analyzer.</span>
+<span class="sd">    This is to make sure the recognizer can be registered with Presidio registry.</span>
+<span class="sd">    """</span>
+
+    <span class="n">RECOGNIZABLE_ENTITIES</span> <span class="o">=</span> <span class="p">{</span>
+        <span class="s2">"LOCATION"</span><span class="p">,</span>
+        <span class="s2">"PERSON"</span><span class="p">,</span>
+        <span class="s2">"NRP"</span><span class="p">,</span>
+        <span class="s2">"GPE"</span><span class="p">,</span>
+        <span class="s2">"ORGANIZATION"</span><span class="p">,</span>
+        <span class="s2">"MAC_ADDRESS"</span><span class="p">,</span>
+        <span class="s2">"US_BANK_NUMBER"</span><span class="p">,</span>
+        <span class="s2">"IMEI"</span><span class="p">,</span>
+        <span class="s2">"TITLE"</span><span class="p">,</span>
+        <span class="s2">"LICENSE_PLATE"</span><span class="p">,</span>
+        <span class="s2">"US_PASSPORT"</span><span class="p">,</span>
+        <span class="s2">"CURRENCY"</span><span class="p">,</span>
+        <span class="s2">"ROUTING_NUMBER"</span><span class="p">,</span>
+        <span class="s2">"US_ITIN"</span><span class="p">,</span>
+        <span class="s2">"US_BANK_NUMBER"</span><span class="p">,</span>
+        <span class="s2">"US_DRIVER_LICENSE"</span><span class="p">,</span>
+        <span class="s2">"AGE"</span><span class="p">,</span>
+        <span class="s2">"PASSWORD"</span><span class="p">,</span>
+        <span class="s2">"SWIFT_CODE"</span><span class="p">,</span>
+    <span class="p">}</span>
+
+    <span class="c1"># This is used to construct the explanation for the result</span>
+
+    <span class="n">_DEFAULT_EXPLANATION</span> <span class="o">=</span> <span class="s2">"Identified as </span><span class="si">{}</span><span class="s2"> by Flair's Named Entity Recognition"</span>
+
+    <span class="n">_DEFAULT_CHECK_LABEL_GROUPS</span> <span class="o">=</span> <span class="p">[</span>
+        <span class="p">({</span><span class="s2">"LOCATION"</span><span class="p">},</span> <span class="p">{</span><span class="s2">"LOC"</span><span class="p">,</span> <span class="s2">"LOCATION"</span><span class="p">,</span> <span class="s2">"STREET_ADDRESS"</span><span class="p">,</span> <span class="s2">"COORDINATE"</span><span class="p">}),</span>
+        <span class="p">({</span><span class="s2">"PERSON"</span><span class="p">},</span> <span class="p">{</span><span class="s2">"PER"</span><span class="p">,</span> <span class="s2">"PERSON"</span><span class="p">}),</span>
+        <span class="p">({</span><span class="s2">"NRP"</span><span class="p">},</span> <span class="p">{</span><span class="s2">"NORP"</span><span class="p">,</span> <span class="s2">"NRP"</span><span class="p">}),</span>
+        <span class="p">({</span><span class="s2">"GPE"</span><span class="p">},</span> <span class="p">{</span><span class="s2">"GPE"</span><span class="p">}),</span>
+        <span class="p">({</span><span class="s2">"ORGANIZATION"</span><span class="p">},</span> <span class="p">{</span><span class="s2">"ORG"</span><span class="p">}),</span>
+        <span class="p">({</span><span class="s2">"MAC_ADDRESS"</span><span class="p">},</span> <span class="p">{</span><span class="s2">"MAC_ADDRESS"</span><span class="p">}),</span>
+        <span class="p">({</span><span class="s2">"US_BANK_NUMBER"</span><span class="p">},</span> <span class="p">{</span><span class="s2">"US_BANK_NUMBER"</span><span class="p">}),</span>
+        <span class="p">({</span><span class="s2">"IMEI"</span><span class="p">},</span> <span class="p">{</span><span class="s2">"IMEI"</span><span class="p">}),</span>
+        <span class="p">({</span><span class="s2">"TITLE"</span><span class="p">},</span> <span class="p">{</span><span class="s2">"TITLE"</span><span class="p">}),</span>
+        <span class="p">({</span><span class="s2">"LICENSE_PLATE"</span><span class="p">},</span> <span class="p">{</span><span class="s2">"LICENSE_PLATE"</span><span class="p">}),</span>
+        <span class="p">({</span><span class="s2">"US_PASSPORT"</span><span class="p">},</span> <span class="p">{</span><span class="s2">"US_PASSPORT"</span><span class="p">}),</span>
+        <span class="p">({</span><span class="s2">"CURRENCY"</span><span class="p">},</span> <span class="p">{</span><span class="s2">"CURRENCY"</span><span class="p">}),</span>
+        <span class="p">({</span><span class="s2">"ROUTING_NUMBER"</span><span class="p">},</span> <span class="p">{</span><span class="s2">"ROUTING_NUMBER"</span><span class="p">}),</span>
+        <span class="p">({</span><span class="s2">"AGE"</span><span class="p">},</span> <span class="p">{</span><span class="s2">"AGE"</span><span class="p">}),</span>
+        <span class="p">({</span><span class="s2">"CURRENCY"</span><span class="p">},</span> <span class="p">{</span><span class="s2">"CURRENCY"</span><span class="p">}),</span>
+        <span class="p">({</span><span class="s2">"SWIFT_CODE"</span><span class="p">},</span> <span class="p">{</span><span class="s2">"SWIFT_CODE"</span><span class="p">}),</span>
+        <span class="p">({</span><span class="s2">"US_ITIN"</span><span class="p">},</span> <span class="p">{</span><span class="s2">"US_ITIN"</span><span class="p">}),</span>
+        <span class="p">({</span><span class="s2">"US_BANK_NUMBER"</span><span class="p">},</span> <span class="p">{</span><span class="s2">"US_BANK_NUMBER"</span><span class="p">}),</span>
+        <span class="p">({</span><span class="s2">"US_DRIVER_LICENSE"</span><span class="p">},</span> <span class="p">{</span><span class="s2">"US_DRIVER_LICENSE"</span><span class="p">}),</span>
+    <span class="p">]</span>
+
+    <span class="n">_DEFAULT_MODEL_LANGUAGES</span> <span class="o">=</span> <span class="p">{</span>
+        <span class="s2">"en"</span><span class="p">:</span> <span class="s2">"beki/flair-pii-distilbert"</span><span class="p">,</span>
+    <span class="p">}</span>
+
+    <span class="n">_DEFAULT_PRESIDIO_EQUIVALENCES</span> <span class="o">=</span> <span class="p">{</span>
+        <span class="s2">"PER"</span><span class="p">:</span> <span class="s2">"PERSON"</span><span class="p">,</span>
+        <span class="s2">"LOC"</span><span class="p">:</span> <span class="s2">"LOCATION"</span><span class="p">,</span>
+        <span class="s2">"ORG"</span><span class="p">:</span> <span class="s2">"ORGANIZATION"</span><span class="p">,</span>
+        <span class="s2">"NROP"</span><span class="p">:</span> <span class="s2">"NRP"</span><span class="p">,</span>
+        <span class="s2">"URL"</span><span class="p">:</span> <span class="s2">"URL"</span><span class="p">,</span>
+        <span class="s2">"US_ITIN"</span><span class="p">:</span> <span class="s2">"US_ITIN"</span><span class="p">,</span>
+        <span class="s2">"US_PASSPORT"</span><span class="p">:</span> <span class="s2">"US_PASSPORT"</span><span class="p">,</span>
+        <span class="s2">"IBAN_CODE"</span><span class="p">:</span> <span class="s2">"IBAN_CODE"</span><span class="p">,</span>
+        <span class="s2">"IP_ADDRESS"</span><span class="p">:</span> <span class="s2">"IP_ADDRESS"</span><span class="p">,</span>
+        <span class="s2">"EMAIL_ADDRESS"</span><span class="p">:</span> <span class="s2">"EMAIL"</span><span class="p">,</span>
+        <span class="s2">"US_DRIVER_LICENSE"</span><span class="p">:</span> <span class="s2">"US_DRIVER_LICENSE"</span><span class="p">,</span>
+        <span class="s2">"US_BANK_NUMBER"</span><span class="p">:</span> <span class="s2">"US_BANK_NUMBER"</span><span class="p">,</span>
+    <span class="p">}</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">supported_language</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">"en"</span><span class="p">,</span>
+        <span class="n">supported_entities</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+        <span class="n">check_label_groups</span><span class="p">:</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Set</span><span class="p">,</span> <span class="n">Set</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Initialize the FlairRecognizer.</span>
+
+<span class="sd">        :param supported_language: Language to use</span>
+<span class="sd">        :param supported_entities: Entities to use</span>
+<span class="sd">        :param check_label_groups: Label groups to check</span>
+
+<span class="sd">        :returns: FlairRecognizer object</span>
+
+<span class="sd">        """</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">check_label_groups</span> <span class="o">=</span> <span class="n">check_label_groups</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">_DEFAULT_CHECK_LABEL_GROUPS</span>
+
+        <span class="n">supported_entities</span> <span class="o">=</span> <span class="n">supported_entities</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">RECOGNIZABLE_ENTITIES</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">model</span> <span class="o">=</span> <span class="n">fl</span><span class="o">.</span><span class="n">models</span><span class="o">.</span><span class="n">SequenceTagger</span><span class="o">.</span><span class="n">load</span><span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_DEFAULT_MODEL_LANGUAGES</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="n">supported_language</span><span class="p">)</span>
+        <span class="p">)</span>
+
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span>
+            <span class="n">supported_entities</span><span class="o">=</span><span class="n">supported_entities</span><span class="p">,</span>
+            <span class="n">supported_language</span><span class="o">=</span><span class="n">supported_language</span><span class="p">,</span>
+            <span class="n">name</span><span class="o">=</span><span class="s2">"Flair Analytics"</span><span class="p">,</span>
+        <span class="p">)</span>
+
+    <span class="c1"># main method for the recognizer</span>
+<div class="viewcode-block" id="FlairRecognizer.analyze"><a class="viewcode-back" href="documentation.html#pii_recognizer.pii_recognizer.FlairRecognizer.analyze">[docs]</a>    <span class="k">def</span> <span class="nf">analyze</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">text</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
+        <span class="n">entities</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">],</span>
+        <span class="n">nlp_artifacts</span><span class="p">:</span> <span class="n">pa</span><span class="o">.</span><span class="n">nlp_engine</span><span class="o">.</span><span class="n">NlpArtifacts</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="p">)</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="n">pa</span><span class="o">.</span><span class="n">RecognizerResult</span><span class="p">]:</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Analyze text and return the results.</span>
+
+<span class="sd">        :param text:          The text for analysis.</span>
+<span class="sd">        :param entities:      The list of entities to recognize.</span>
+<span class="sd">        :param nlp_artifacts: Not used by this recognizer but needed for the interface.</span>
+
+<span class="sd">        :returns: The list of Presidio RecognizerResult constructed from the recognized Flair detections.</span>
+<span class="sd">        """</span>
+
+        <span class="n">results</span> <span class="o">=</span> <span class="p">[]</span>
+
+        <span class="n">sentences</span> <span class="o">=</span> <span class="n">fl</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">Sentence</span><span class="p">(</span><span class="n">text</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">sentences</span><span class="p">)</span>
+
+        <span class="c1"># If there are no specific list of entities, we will look for all of it.</span>
+        <span class="k">if</span> <span class="ow">not</span> <span class="n">entities</span><span class="p">:</span>
+            <span class="n">entities</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">supported_entities</span>
+
+        <span class="c1"># Go over the entities and check if they are in the supported entities list.</span>
+        <span class="k">for</span> <span class="n">entity</span> <span class="ow">in</span> <span class="n">entities</span><span class="p">:</span>
+            <span class="k">if</span> <span class="n">entity</span> <span class="ow">not</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">supported_entities</span><span class="p">:</span>
+                <span class="k">continue</span>
+
+            <span class="c1"># Go over the sentences and check if the entity is in the sentence.</span>
+            <span class="k">for</span> <span class="n">ent</span> <span class="ow">in</span> <span class="n">sentences</span><span class="o">.</span><span class="n">get_spans</span><span class="p">(</span><span class="s2">"ner"</span><span class="p">):</span>
+                <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">__check_label</span><span class="p">(</span>
+                    <span class="n">entity</span><span class="p">,</span> <span class="n">ent</span><span class="o">.</span><span class="n">labels</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">value</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">check_label_groups</span>
+                <span class="p">):</span>
+                    <span class="k">continue</span>
+
+                <span class="c1"># If the entity is in the sentence, we will add it to the results.</span>
+                <span class="n">textual_explanation</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_DEFAULT_EXPLANATION</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                    <span class="n">ent</span><span class="o">.</span><span class="n">labels</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">value</span>
+                <span class="p">)</span>
+
+                <span class="c1"># Build the explanation for the result</span>
+                <span class="n">explanation</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_build_flair_explanation</span><span class="p">(</span>
+                    <span class="nb">round</span><span class="p">(</span><span class="n">ent</span><span class="o">.</span><span class="n">score</span><span class="p">,</span> <span class="mi">2</span><span class="p">),</span> <span class="n">textual_explanation</span>
+                <span class="p">)</span>
+
+                <span class="n">flair_result</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_convert_to_recognizer_result</span><span class="p">(</span><span class="n">ent</span><span class="p">,</span> <span class="n">explanation</span><span class="p">)</span>
+
+                <span class="n">results</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">flair_result</span><span class="p">)</span>
+
+        <span class="k">return</span> <span class="n">results</span></div>
+
+    <span class="k">def</span> <span class="nf">_convert_to_recognizer_result</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span> <span class="n">entity</span><span class="p">:</span> <span class="n">fl</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">Span</span><span class="p">,</span> <span class="n">explanation</span><span class="p">:</span> <span class="nb">str</span>
+    <span class="p">)</span> <span class="o">-&gt;</span> <span class="n">pa</span><span class="o">.</span><span class="n">RecognizerResult</span><span class="p">:</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Convert Flair result to Presidio RecognizerResult.</span>
+
+<span class="sd">        :param entity:      Flair entity of Span</span>
+<span class="sd">        :param explanation: Presidio AnalysisExplanation</span>
+
+<span class="sd">        :returns: Presidio RecognizerResult</span>
+<span class="sd">        """</span>
+
+        <span class="c1"># Convert the entity type to Presidio entity type</span>
+        <span class="n">entity_type</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_DEFAULT_PRESIDIO_EQUIVALENCES</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="n">entity</span><span class="o">.</span><span class="n">tag</span><span class="p">,</span> <span class="n">entity</span><span class="o">.</span><span class="n">tag</span><span class="p">)</span>
+
+        <span class="c1"># Convert the score to Presidio score</span>
+        <span class="n">flair_score</span> <span class="o">=</span> <span class="nb">round</span><span class="p">(</span><span class="n">entity</span><span class="o">.</span><span class="n">score</span><span class="p">,</span> <span class="mi">2</span><span class="p">)</span>
+
+        <span class="c1"># Create the Presidio RecognizerResult from the Flair entity</span>
+        <span class="n">flair_results</span> <span class="o">=</span> <span class="n">pa</span><span class="o">.</span><span class="n">RecognizerResult</span><span class="p">(</span>
+            <span class="n">entity_type</span><span class="o">=</span><span class="n">entity_type</span><span class="p">,</span>
+            <span class="n">start</span><span class="o">=</span><span class="n">entity</span><span class="o">.</span><span class="n">start_position</span><span class="p">,</span>
+            <span class="n">end</span><span class="o">=</span><span class="n">entity</span><span class="o">.</span><span class="n">end_position</span><span class="p">,</span>
+            <span class="n">score</span><span class="o">=</span><span class="n">flair_score</span><span class="p">,</span>
+            <span class="n">analysis_explanation</span><span class="o">=</span><span class="n">explanation</span><span class="p">,</span>
+        <span class="p">)</span>
+
+        <span class="k">return</span> <span class="n">flair_results</span>
+
+    <span class="k">def</span> <span class="nf">_build_flair_explanation</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span> <span class="n">original_score</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span> <span class="n">explanation</span><span class="p">:</span> <span class="nb">str</span>
+    <span class="p">)</span> <span class="o">-&gt;</span> <span class="n">pa</span><span class="o">.</span><span class="n">AnalysisExplanation</span><span class="p">:</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Create explanation for why this result was detected.</span>
+
+<span class="sd">        :param original_score: Score given by this recognizer</span>
+<span class="sd">        :param explanation:    Explanation string</span>
+
+<span class="sd">        :returns: Presidio AnalysisExplanation</span>
+<span class="sd">        """</span>
+
+        <span class="c1"># Create the Presidio AnalysisExplanation for the result</span>
+        <span class="n">explanation</span> <span class="o">=</span> <span class="n">pa</span><span class="o">.</span><span class="n">AnalysisExplanation</span><span class="p">(</span>
+            <span class="n">recognizer</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="vm">__class__</span><span class="o">.</span><span class="vm">__name__</span><span class="p">,</span>
+            <span class="n">original_score</span><span class="o">=</span><span class="n">original_score</span><span class="p">,</span>
+            <span class="n">textual_explanation</span><span class="o">=</span><span class="n">explanation</span><span class="p">,</span>
+        <span class="p">)</span>
+        <span class="k">return</span> <span class="n">explanation</span>
+
+    <span class="c1"># sanity check of the entity and label before recognition</span>
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">__check_label</span><span class="p">(</span>
+        <span class="n">entity</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">label</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">check_label_groups</span><span class="p">:</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Set</span><span class="p">,</span> <span class="n">Set</span><span class="p">]</span>
+    <span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span><span class="p">:</span>
+        <span class="k">return</span> <span class="nb">any</span><span class="p">(</span>
+            <span class="n">entity</span> <span class="ow">in</span> <span class="n">egrp</span> <span class="ow">and</span> <span class="n">label</span> <span class="ow">in</span> <span class="n">lgrp</span> <span class="k">for</span> <span class="n">egrp</span><span class="p">,</span> <span class="n">lgrp</span> <span class="ow">in</span> <span class="n">check_label_groups</span>
+        <span class="p">)</span></div>
+
+
+<span class="c1"># get the analyzer engine based on the model</span>
+<span class="k">def</span> <span class="nf">_get_analyzer_engine</span><span class="p">(</span>
+    <span class="n">model</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> <span class="n">entities</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span>
+<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">pa</span><span class="o">.</span><span class="n">AnalyzerEngine</span><span class="p">:</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    Return pa.AnalyzerEngine.</span>
+
+<span class="sd">    :param model: The model to use. Can be "spacy", "flair", "pattern" or "whole".</span>
+<span class="sd">    :param entities: The list of entities to use.</span>
+
+<span class="sd">    :returns: pa.AnalyzerEngine</span>
+<span class="sd">    """</span>
+    <span class="c1"># recognizer registry that can store multiple recognizers</span>
+    <span class="n">registry</span> <span class="o">=</span> <span class="n">pa</span><span class="o">.</span><span class="n">RecognizerRegistry</span><span class="p">()</span>
+    <span class="k">if</span> <span class="n">model</span> <span class="o">==</span> <span class="n">Models</span><span class="o">.</span><span class="n">SPACY</span><span class="p">:</span>
+        <span class="c1"># custom spacy recognizer</span>
+        <span class="n">spacy_recognizer</span> <span class="o">=</span> <span class="n">CustomSpacyRecognizer</span><span class="p">()</span>
+        <span class="c1"># add the custom build spacy recognizer</span>
+        <span class="n">registry</span><span class="o">.</span><span class="n">add_recognizer</span><span class="p">(</span><span class="n">spacy_recognizer</span><span class="p">)</span>
+    <span class="k">elif</span> <span class="n">model</span> <span class="o">==</span> <span class="n">Models</span><span class="o">.</span><span class="n">FLAIR</span><span class="p">:</span>
+        <span class="c1"># pre-trained flair recognizer</span>
+        <span class="n">flair_recognizer</span> <span class="o">=</span> <span class="n">FlairRecognizer</span><span class="p">()</span>
+        <span class="c1"># add the custom build flair recognizer</span>
+        <span class="n">registry</span><span class="o">.</span><span class="n">add_recognizer</span><span class="p">(</span><span class="n">flair_recognizer</span><span class="p">)</span>
+    <span class="k">elif</span> <span class="n">model</span> <span class="o">==</span> <span class="n">Models</span><span class="o">.</span><span class="n">PATTERN</span><span class="p">:</span>
+        <span class="c1"># add the pattern recognizer</span>
+        <span class="n">pattern_recognizer_factory</span> <span class="o">=</span> <span class="n">PatternRecognizerFactory</span><span class="p">()</span>
+        <span class="k">for</span> <span class="n">recognizer</span> <span class="ow">in</span> <span class="n">pattern_recognizer_factory</span><span class="o">.</span><span class="n">_create_pattern_recognizer</span><span class="p">():</span>
+            <span class="n">registry</span><span class="o">.</span><span class="n">add_recognizer</span><span class="p">(</span><span class="n">recognizer</span><span class="p">)</span>
+    <span class="k">elif</span> <span class="n">model</span> <span class="o">==</span> <span class="n">Models</span><span class="o">.</span><span class="n">WHOLE</span><span class="p">:</span>
+        <span class="n">spacy_recognizer</span> <span class="o">=</span> <span class="n">CustomSpacyRecognizer</span><span class="p">()</span>
+        <span class="n">flair_recognizer</span> <span class="o">=</span> <span class="n">FlairRecognizer</span><span class="p">()</span>
+        <span class="n">registry</span><span class="o">.</span><span class="n">add_recognizer</span><span class="p">(</span><span class="n">spacy_recognizer</span><span class="p">)</span>
+        <span class="n">registry</span><span class="o">.</span><span class="n">add_recognizer</span><span class="p">(</span><span class="n">flair_recognizer</span><span class="p">)</span>
+        <span class="c1"># add the pattern recognizer</span>
+        <span class="n">pattern_recognizer_factory</span> <span class="o">=</span> <span class="n">PatternRecognizerFactory</span><span class="p">()</span>
+        <span class="k">for</span> <span class="n">recognizer</span> <span class="ow">in</span> <span class="n">pattern_recognizer_factory</span><span class="o">.</span><span class="n">_create_pattern_recognizer</span><span class="p">():</span>
+            <span class="n">registry</span><span class="o">.</span><span class="n">add_recognizer</span><span class="p">(</span><span class="n">recognizer</span><span class="p">)</span>
+    <span class="k">elif</span> <span class="ow">not</span> <span class="n">model</span> <span class="ow">and</span> <span class="n">entities</span><span class="p">:</span>
+        <span class="k">if</span> <span class="nb">set</span><span class="p">(</span><span class="n">entities</span><span class="p">)</span> <span class="o">&amp;</span> <span class="n">CustomSpacyRecognizer</span><span class="o">.</span><span class="n">RECOGNIZABLE_ENTITIES</span><span class="p">:</span>
+            <span class="n">spacy_recognizer</span> <span class="o">=</span> <span class="n">CustomSpacyRecognizer</span><span class="p">()</span>
+            <span class="n">registry</span><span class="o">.</span><span class="n">add_recognizer</span><span class="p">(</span><span class="n">spacy_recognizer</span><span class="p">)</span>
+        <span class="k">if</span> <span class="nb">set</span><span class="p">(</span><span class="n">entities</span><span class="p">)</span> <span class="o">&amp;</span> <span class="n">FlairRecognizer</span><span class="o">.</span><span class="n">RECOGNIZABLE_ENTITIES</span><span class="p">:</span>
+            <span class="n">flair_recognizer</span> <span class="o">=</span> <span class="n">FlairRecognizer</span><span class="p">()</span>
+            <span class="n">registry</span><span class="o">.</span><span class="n">add_recognizer</span><span class="p">(</span><span class="n">flair_recognizer</span><span class="p">)</span>
+        <span class="c1"># add the pattern recognizer</span>
+        <span class="k">if</span> <span class="nb">set</span><span class="p">(</span><span class="n">entities</span><span class="p">)</span> <span class="o">&amp;</span> <span class="p">(</span><span class="nb">set</span><span class="p">(</span><span class="n">PatternRecognizerFactory</span><span class="o">.</span><span class="n">RECOGNIZABLE_ENTITIES</span><span class="o">.</span><span class="n">keys</span><span class="p">())):</span>
+            <span class="n">pattern_recognizer_factory</span> <span class="o">=</span> <span class="n">PatternRecognizerFactory</span><span class="p">()</span>
+            <span class="k">for</span> <span class="n">recognizer</span> <span class="ow">in</span> <span class="n">pattern_recognizer_factory</span><span class="o">.</span><span class="n">_create_pattern_recognizer</span><span class="p">():</span>
+                <span class="n">registry</span><span class="o">.</span><span class="n">add_recognizer</span><span class="p">(</span><span class="n">recognizer</span><span class="p">)</span>
+    <span class="k">else</span><span class="p">:</span>
+        <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span>
+            <span class="sa">f</span><span class="s2">"argument of model and entities can not be None at the same time"</span>
+        <span class="p">)</span>
+    <span class="n">analyzer</span> <span class="o">=</span> <span class="n">pa</span><span class="o">.</span><span class="n">AnalyzerEngine</span><span class="p">(</span>
+        <span class="n">registry</span><span class="o">=</span><span class="n">registry</span><span class="p">,</span>
+        <span class="n">supported_languages</span><span class="o">=</span><span class="p">[</span><span class="s2">"en"</span><span class="p">],</span>
+    <span class="p">)</span>
+
+    <span class="n">supported_entities</span> <span class="o">=</span> <span class="n">analyzer</span><span class="o">.</span><span class="n">get_supported_entities</span><span class="p">()</span>
+
+    <span class="k">if</span> <span class="n">entities</span> <span class="ow">and</span> <span class="ow">not</span> <span class="nb">all</span><span class="p">(</span><span class="n">item</span> <span class="ow">in</span> <span class="n">supported_entities</span> <span class="k">for</span> <span class="n">item</span> <span class="ow">in</span> <span class="n">entities</span><span class="p">):</span>
+        <span class="n">not_supported_entities</span> <span class="o">=</span> <span class="p">[</span>
+            <span class="n">item</span> <span class="k">for</span> <span class="n">item</span> <span class="ow">in</span> <span class="n">entities</span> <span class="k">if</span> <span class="n">item</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">supported_entities</span>
+        <span class="p">]</span>
+        <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span>
+            <span class="sa">f</span><span class="s2">"The current model </span><span class="si">{</span><span class="n">model</span><span class="si">}</span><span class="s2"> doesn't support the following entities: </span><span class="si">{</span><span class="n">not_supported_entities</span><span class="si">}</span><span class="s2">. "</span>
+            <span class="sa">f</span><span class="s2">"Supported entities are: </span><span class="si">{</span><span class="n">supported_entities</span><span class="si">}</span><span class="s2">"</span>
+        <span class="p">)</span>
+    <span class="k">return</span> <span class="n">analyzer</span>
+
+
+<span class="k">def</span> <span class="nf">_get_anonymizer_engine</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">pre_anoymizer</span><span class="o">.</span><span class="n">AnonymizerEngine</span><span class="p">:</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    Return AnonymizerEngine.</span>
+
+<span class="sd">    :returns: The AnonymizerEngine.</span>
+<span class="sd">    """</span>
+    <span class="k">return</span> <span class="n">pre_anoymizer</span><span class="o">.</span><span class="n">AnonymizerEngine</span><span class="p">()</span>
+
+
+<span class="k">def</span> <span class="nf">_anonymize</span><span class="p">(</span>
+    <span class="n">text</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
+    <span class="n">analyze_results</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">pa</span><span class="o">.</span><span class="n">RecognizerResult</span><span class="p">],</span>
+    <span class="n">entity_operator_map</span><span class="p">:</span> <span class="nb">dict</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">is_full_text</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
+<span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">str</span><span class="p">:</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    Anonymize identified input using Presidio Abonymizer.</span>
+
+<span class="sd">    :param text:                The text for analysis.</span>
+<span class="sd">    :param analyze_results:     The list of Presidio RecognizerResult constructed from</span>
+<span class="sd">    :param entity_operator_map: The entity_operator_map is a dictionary that maps entity to operator name and operator params.</span>
+<span class="sd">    :param is_full_text:        Whether the text is full text or not.</span>
+
+<span class="sd">    :returns: The anonymized text.</span>
+<span class="sd">    """</span>
+    <span class="k">if</span> <span class="ow">not</span> <span class="n">text</span><span class="p">:</span>
+        <span class="k">return</span> <span class="s2">""</span>
+
+    <span class="n">anonymizer_engine</span> <span class="o">=</span> <span class="n">_get_anonymizer_engine</span><span class="p">()</span>
+    <span class="k">if</span> <span class="ow">not</span> <span class="n">entity_operator_map</span><span class="p">:</span>
+        <span class="n">operators</span> <span class="o">=</span> <span class="kc">None</span>
+    <span class="k">else</span><span class="p">:</span>
+        <span class="c1"># Create OperatorConfig based on the entity_operator_map</span>
+        <span class="n">operators</span> <span class="o">=</span> <span class="p">{</span>
+            <span class="n">entity</span><span class="p">:</span> <span class="n">OperatorConfig</span><span class="p">(</span><span class="n">operator_name</span><span class="p">,</span> <span class="n">operator_params</span><span class="p">)</span>
+            <span class="k">for</span> <span class="n">entity</span><span class="p">,</span> <span class="p">(</span><span class="n">operator_name</span><span class="p">,</span> <span class="n">operator_params</span><span class="p">)</span> <span class="ow">in</span> <span class="n">entity_operator_map</span><span class="o">.</span><span class="n">items</span><span class="p">()</span>
+        <span class="p">}</span>
+
+    <span class="k">if</span> <span class="n">is_full_text</span><span class="p">:</span>
+        <span class="c1"># Anonymize the entire text</span>
+        <span class="k">return</span> <span class="n">anonymizer_engine</span><span class="o">.</span><span class="n">anonymize</span><span class="p">(</span>
+            <span class="n">text</span><span class="o">=</span><span class="n">text</span><span class="p">,</span> <span class="n">analyzer_results</span><span class="o">=</span><span class="n">analyze_results</span><span class="p">,</span> <span class="n">operators</span><span class="o">=</span><span class="n">operators</span>
+        <span class="p">)</span><span class="o">.</span><span class="n">text</span>
+    <span class="c1"># Tokenize the text to sentences</span>
+    <span class="n">sentences</span> <span class="o">=</span> <span class="n">nltk</span><span class="o">.</span><span class="n">sent_tokenize</span><span class="p">(</span><span class="n">text</span><span class="p">)</span>
+    <span class="n">anonymized_sentences</span> <span class="o">=</span> <span class="p">[]</span>
+    <span class="n">current_idx</span> <span class="o">=</span> <span class="mi">0</span>
+
+    <span class="c1"># Find the sentence that has pii entity</span>
+    <span class="k">for</span> <span class="n">sentence</span> <span class="ow">in</span> <span class="n">sentences</span><span class="p">:</span>
+        <span class="n">start_idx</span> <span class="o">=</span> <span class="n">current_idx</span>
+        <span class="n">end_idx</span> <span class="o">=</span> <span class="n">start_idx</span> <span class="o">+</span> <span class="nb">len</span><span class="p">(</span><span class="n">sentence</span><span class="p">)</span>
+
+        <span class="c1"># Get the entities that are in the sentence, update hte start_idx and end_idx</span>
+        <span class="n">sentence_results</span> <span class="o">=</span> <span class="p">[</span>
+            <span class="n">pa</span><span class="o">.</span><span class="n">RecognizerResult</span><span class="p">(</span>
+                <span class="n">result</span><span class="o">.</span><span class="n">entity_type</span><span class="p">,</span>
+                <span class="n">start</span><span class="o">=</span><span class="n">result</span><span class="o">.</span><span class="n">start</span> <span class="o">-</span> <span class="n">start_idx</span><span class="p">,</span>
+                <span class="n">end</span><span class="o">=</span><span class="n">result</span><span class="o">.</span><span class="n">end</span> <span class="o">-</span> <span class="n">start_idx</span><span class="p">,</span>
+                <span class="n">score</span><span class="o">=</span><span class="n">result</span><span class="o">.</span><span class="n">score</span><span class="p">,</span>
+            <span class="p">)</span>
+            <span class="k">for</span> <span class="n">result</span> <span class="ow">in</span> <span class="n">analyze_results</span>
+            <span class="k">if</span> <span class="n">result</span><span class="o">.</span><span class="n">start</span> <span class="o">&gt;=</span> <span class="n">start_idx</span> <span class="ow">and</span> <span class="n">result</span><span class="o">.</span><span class="n">end</span> <span class="o">&lt;=</span> <span class="n">end_idx</span>
+        <span class="p">]</span>
+
+        <span class="c1"># If PII is detected</span>
+        <span class="k">if</span> <span class="n">sentence_results</span><span class="p">:</span>
+            <span class="n">anonymized_sentence</span> <span class="o">=</span> <span class="n">anonymizer_engine</span><span class="o">.</span><span class="n">anonymize</span><span class="p">(</span>
+                <span class="n">text</span><span class="o">=</span><span class="n">sentence</span><span class="p">,</span> <span class="n">analyzer_results</span><span class="o">=</span><span class="n">sentence_results</span><span class="p">,</span> <span class="n">operators</span><span class="o">=</span><span class="n">operators</span>
+            <span class="p">)</span><span class="o">.</span><span class="n">text</span>
+            <span class="n">anonymized_sentences</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">anonymized_sentence</span><span class="p">)</span>
+
+        <span class="n">current_idx</span> <span class="o">=</span> <span class="n">end_idx</span>
+
+    <span class="k">return</span> <span class="s2">" "</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">anonymized_sentences</span><span class="p">)</span>
+
+
+<span class="k">def</span> <span class="nf">_get_tokens</span><span class="p">(</span>
+    <span class="n">text</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">analyze_results</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">pa</span><span class="o">.</span><span class="n">RecognizerResult</span><span class="p">],</span> <span class="n">is_full</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span>
+<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">]:</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    Get the full tokens or only contains the entities that can form a sentence.</span>
+
+<span class="sd">    :param text:            The text for analysis.</span>
+<span class="sd">    :param analyze_results: The list of Presidio RecognizerResult constructed from</span>
+<span class="sd">    :param is_full:         Whether return full tokens or just the tokens that only contains the entities that can form a sentence.</span>
+
+<span class="sd">    :returns: The tokens.</span>
+<span class="sd">    """</span>
+
+    <span class="n">tokens</span> <span class="o">=</span> <span class="p">[]</span>
+    <span class="c1"># sort by start index</span>
+    <span class="n">results</span> <span class="o">=</span> <span class="nb">sorted</span><span class="p">(</span><span class="n">analyze_results</span><span class="p">,</span> <span class="n">key</span><span class="o">=</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="o">.</span><span class="n">start</span><span class="p">)</span>
+    <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">res</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">results</span><span class="p">):</span>
+        <span class="k">if</span> <span class="n">i</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
+            <span class="n">tokens</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">text</span><span class="p">[:</span> <span class="n">res</span><span class="o">.</span><span class="n">start</span><span class="p">])</span>
+
+        <span class="c1"># append entity text and entity type</span>
+        <span class="n">tokens</span><span class="o">.</span><span class="n">append</span><span class="p">((</span><span class="n">text</span><span class="p">[</span><span class="n">res</span><span class="o">.</span><span class="n">start</span> <span class="p">:</span> <span class="n">res</span><span class="o">.</span><span class="n">end</span><span class="p">],</span> <span class="n">res</span><span class="o">.</span><span class="n">entity_type</span><span class="p">))</span>
+
+        <span class="c1"># if another entity coming i.e. we're not at the last results element,</span>
+        <span class="c1"># add text up to next entity</span>
+        <span class="k">if</span> <span class="n">i</span> <span class="o">!=</span> <span class="nb">len</span><span class="p">(</span><span class="n">results</span><span class="p">)</span> <span class="o">-</span> <span class="mi">1</span><span class="p">:</span>
+            <span class="n">tokens</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">text</span><span class="p">[</span><span class="n">res</span><span class="o">.</span><span class="n">end</span> <span class="p">:</span> <span class="n">results</span><span class="p">[</span><span class="n">i</span> <span class="o">+</span> <span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">start</span><span class="p">])</span>
+        <span class="c1"># if no more entities coming, add all remaining text</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">tokens</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">text</span><span class="p">[</span><span class="n">res</span><span class="o">.</span><span class="n">end</span> <span class="p">:])</span>
+
+    <span class="c1"># get the tokens that only contains the entities that can form a sentence</span>
+    <span class="n">part_annontated_tokens</span> <span class="o">=</span> <span class="p">[]</span>
+    <span class="k">if</span> <span class="ow">not</span> <span class="n">is_full</span><span class="p">:</span>
+        <span class="n">last_end_sentence</span> <span class="o">=</span> <span class="mi">0</span>
+        <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">token</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">tokens</span><span class="p">):</span>
+            <span class="k">if</span> <span class="nb">any</span><span class="p">(</span><span class="n">item</span> <span class="ow">in</span> <span class="n">token</span> <span class="k">for</span> <span class="n">item</span> <span class="ow">in</span> <span class="p">[</span><span class="s2">"."</span><span class="p">,</span> <span class="s2">"!"</span><span class="p">,</span> <span class="s2">"?"</span><span class="p">])</span> <span class="ow">and</span> <span class="nb">any</span><span class="p">(</span>
+                <span class="nb">type</span><span class="p">(</span><span class="n">item</span><span class="p">)</span> <span class="ow">is</span> <span class="nb">tuple</span> <span class="k">for</span> <span class="n">item</span> <span class="ow">in</span> <span class="n">tokens</span><span class="p">[</span><span class="n">last_end_sentence</span><span class="p">:</span><span class="n">i</span><span class="p">]</span>
+            <span class="p">):</span>
+                <span class="n">part_annontated_tokens</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">tokens</span><span class="p">[</span><span class="n">last_end_sentence</span><span class="p">:</span><span class="n">i</span><span class="p">])</span>
+                <span class="n">last_end_sentence</span> <span class="o">=</span> <span class="n">i</span>
+        <span class="k">return</span> <span class="n">part_annontated_tokens</span>
+    <span class="k">return</span> <span class="n">tokens</span>
+
+
+<span class="k">def</span> <span class="nf">_annotate</span><span class="p">(</span>
+    <span class="n">text</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">st_analyze_results</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">pa</span><span class="o">.</span><span class="n">RecognizerResult</span><span class="p">],</span> <span class="n">is_full_html</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span>
+<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">]:</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    Annotate identified input using Presidio Anonymizer.</span>
+
+<span class="sd">    :param text:               The text for analysis.</span>
+<span class="sd">    :param st_analyze_results: The list of Presidio RecognizerResult constructed from analysis.</span>
+<span class="sd">    :param is_full_html:       Whether generate full html or not.</span>
+
+<span class="sd">    :returns: The list of tokens with the identified entities.</span>
+
+<span class="sd">    """</span>
+    <span class="k">return</span> <span class="n">_get_tokens</span><span class="p">(</span><span class="n">text</span><span class="p">,</span> <span class="n">st_analyze_results</span><span class="p">,</span> <span class="n">is_full_html</span><span class="p">)</span>
+
+
+<span class="k">def</span> <span class="nf">_process</span><span class="p">(</span>
+    <span class="n">text</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
+    <span class="n">model</span><span class="p">:</span> <span class="n">pa</span><span class="o">.</span><span class="n">AnalyzerEngine</span><span class="p">,</span>
+    <span class="n">score_threshold</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+    <span class="n">entities</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">entities_operator_map</span><span class="p">:</span> <span class="nb">dict</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">is_full_text</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
+<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">list</span><span class="p">]:</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    Process the text of str using the model.</span>
+
+<span class="sd">    :param text:                  Text to process</span>
+<span class="sd">    :param model:                 Model to use for processing</span>
+<span class="sd">    :param entities:              Entities to recognize</span>
+<span class="sd">    :param entities_operator_map: The entity_operator_map is a dictionary that maps entity to operator name and operator params.</span>
+<span class="sd">    :param score_threshold:       The score threshold to use for recognition</span>
+<span class="sd">    :param is_full_text:          Whether to return the full text or just the annotated text</span>
+
+<span class="sd">    :returns: A tuple of:</span>
+
+<span class="sd">              * the anonymized text</span>
+<span class="sd">              * the list of Presidio RecognizerResult constructed from analysis</span>
+<span class="sd">    """</span>
+
+    <span class="c1"># get the analyzer engine</span>
+    <span class="n">analyzer</span> <span class="o">=</span> <span class="n">model</span>
+
+    <span class="c1"># analyze the text that can be used for anonymization</span>
+    <span class="n">results</span> <span class="o">=</span> <span class="n">analyzer</span><span class="o">.</span><span class="n">analyze</span><span class="p">(</span>
+        <span class="n">text</span><span class="o">=</span><span class="n">text</span><span class="p">,</span>
+        <span class="n">language</span><span class="o">=</span><span class="s2">"en"</span><span class="p">,</span>
+        <span class="n">entities</span><span class="o">=</span><span class="n">entities</span><span class="p">,</span>
+        <span class="n">score_threshold</span><span class="o">=</span><span class="n">score_threshold</span><span class="p">,</span>
+        <span class="n">return_decision_process</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+    <span class="p">)</span>
+
+    <span class="c1"># anonymize the text, replace the pii entities with the labels</span>
+    <span class="n">anonymized_text</span> <span class="o">=</span> <span class="n">_anonymize</span><span class="p">(</span><span class="n">text</span><span class="p">,</span> <span class="n">results</span><span class="p">,</span> <span class="n">entities_operator_map</span><span class="p">,</span> <span class="n">is_full_text</span><span class="p">)</span>
+
+    <span class="k">return</span> <span class="n">anonymized_text</span><span class="p">,</span> <span class="n">results</span>
+
+
+<span class="k">def</span> <span class="nf">_get_single_html</span><span class="p">(</span>
+    <span class="n">text</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">results</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">pa</span><span class="o">.</span><span class="n">RecognizerResult</span><span class="p">],</span> <span class="n">is_full_html</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span>
+<span class="p">):</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    Generate the html for a single txt file.</span>
+
+<span class="sd">    :param text:         The text for analysis.</span>
+<span class="sd">    :param results:      The list of Presidio RecognizerResult constructed from analysis.</span>
+<span class="sd">    :param is_full_html: Whether generate full html or not.</span>
+
+<span class="sd">    :returns: The html string for a single txt file.</span>
+<span class="sd">    """</span>
+    <span class="c1"># convert the results to tokens to generate the html</span>
+    <span class="n">tokens</span> <span class="o">=</span> <span class="n">_annotate</span><span class="p">(</span><span class="n">text</span><span class="p">,</span> <span class="n">results</span><span class="p">,</span> <span class="n">is_full_html</span><span class="p">)</span>
+    <span class="n">html</span> <span class="o">=</span> <span class="n">at_util</span><span class="o">.</span><span class="n">get_annotated_html</span><span class="p">(</span><span class="o">*</span><span class="n">tokens</span><span class="p">)</span>
+
+    <span class="c1"># avoid the error during rendering of the \n in the html</span>
+    <span class="n">backslash_char</span> <span class="o">=</span> <span class="s2">"</span><span class="se">\\</span><span class="s2">"</span>
+
+    <span class="n">html_str</span> <span class="o">=</span> <span class="sa">f</span><span class="s2">"&lt;p&gt;</span><span class="si">{</span><span class="n">html</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">'</span><span class="si">{backslash_char}</span><span class="s1">n'</span><span class="p">,</span><span class="w"> </span><span class="s1">'&lt;br&gt;'</span><span class="p">)</span><span class="si">}</span><span class="s2">&lt;/p&gt;"</span>
+
+    <span class="k">return</span> <span class="n">html_str</span>
+
+
+<span class="k">def</span> <span class="nf">_get_single_json</span><span class="p">(</span><span class="n">results</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">pa</span><span class="o">.</span><span class="n">RecognizerResult</span><span class="p">],</span> <span class="n">is_full_report</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    Generate the json for a single txt file.</span>
+
+<span class="sd">    :param results:        The list of Presidio RecognizerResult constructed from analysis.</span>
+<span class="sd">    :param is_full_report: Whether generate full json or not.</span>
+
+<span class="sd">    :returns: The json string for a single txt file.</span>
+<span class="sd">    """</span>
+    <span class="c1"># generate the stats report if needed</span>
+    <span class="k">if</span> <span class="ow">not</span> <span class="n">is_full_report</span><span class="p">:</span>
+        <span class="n">stats</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="c1"># add the simplify stats logic here</span>
+        <span class="k">for</span> <span class="n">item</span> <span class="ow">in</span> <span class="n">results</span><span class="p">:</span>
+            <span class="n">item</span><span class="o">.</span><span class="n">analysis_explanation</span> <span class="o">=</span> <span class="kc">None</span>
+            <span class="n">stats</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">item</span><span class="p">)</span>
+    <span class="k">else</span><span class="p">:</span>
+        <span class="n">stats</span> <span class="o">=</span> <span class="n">results</span>
+
+    <span class="k">return</span> <span class="n">stats</span>
+
+
+<span class="k">def</span> <span class="nf">_get_all_html</span><span class="p">(</span>
+    <span class="n">txt_content</span><span class="p">:</span> <span class="nb">dict</span><span class="p">,</span>
+    <span class="n">res_dict</span><span class="p">:</span> <span class="nb">dict</span><span class="p">,</span>
+    <span class="n">is_full_html</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
+<span class="p">):</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    Generate the html for all txt files.</span>
+
+<span class="sd">    :param txt_content:  The dictionary of txt file name and content.</span>
+<span class="sd">    :param res_dict:     The dictionary of txt file name and the list of Presidio RecognizerResult constructed from analysis.</span>
+<span class="sd">    :param is_full_html: Whether generate full html or not.</span>
+
+<span class="sd">    :returns: The html string for all txt files.</span>
+
+<span class="sd">    """</span>
+    <span class="c1"># These are placeholder for the html string</span>
+    <span class="n">html_index</span> <span class="o">=</span> <span class="s2">"&lt;html&gt;&lt;head&gt;&lt;title&gt;Highlighted Pii Entities&lt;/title&gt;&lt;/head&gt;&lt;body&gt;&lt;h1&gt;Highlighted Pii Entities&lt;/h1&gt;&lt;ul&gt;"</span>
+    <span class="n">html_content</span> <span class="o">=</span> <span class="s2">""</span>
+    <span class="k">for</span> <span class="n">txt_file</span><span class="p">,</span> <span class="n">results</span> <span class="ow">in</span> <span class="n">res_dict</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
+        <span class="n">txt</span> <span class="o">=</span> <span class="n">txt_content</span><span class="p">[</span><span class="n">txt_file</span><span class="p">]</span>
+        <span class="n">html_index</span> <span class="o">+=</span> <span class="sa">f</span><span class="s2">"&lt;li&gt;&lt;a href='#</span><span class="si">{</span><span class="n">txt_file</span><span class="si">}</span><span class="s2">'&gt;</span><span class="si">{</span><span class="n">txt_file</span><span class="si">}</span><span class="s2">&lt;/a&gt;&lt;/li&gt;"</span>
+        <span class="n">html_content</span> <span class="o">+=</span> <span class="sa">f</span><span class="s2">"&lt;li&gt;&lt;h2&gt;</span><span class="si">{</span><span class="n">txt_file</span><span class="si">}</span><span class="s2">&lt;/h2&gt;&lt;p&gt;</span><span class="si">{</span><span class="n">_get_single_html</span><span class="p">(</span><span class="n">txt</span><span class="p">,</span><span class="w"> </span><span class="n">results</span><span class="p">,</span><span class="w"> </span><span class="n">is_full_html</span><span class="p">)</span><span class="si">}</span><span class="s2">&lt;/p&gt;&lt;/li&gt;"</span>
+    <span class="n">html_index</span> <span class="o">+=</span> <span class="s2">"&lt;/ul&gt;"</span>
+    <span class="n">html_res</span> <span class="o">=</span> <span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">html_index</span><span class="si">}{</span><span class="n">html_content</span><span class="si">}</span><span class="s2">&lt;/body&gt;&lt;/html&gt;"</span>
+
+    <span class="k">return</span> <span class="n">html_res</span>
+
+
+<span class="k">def</span> <span class="nf">_get_all_rpt</span><span class="p">(</span><span class="n">res_dict</span><span class="p">:</span> <span class="nb">dict</span><span class="p">,</span> <span class="n">is_full_report</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    Generate the stats report for all txt files.</span>
+
+<span class="sd">    :param res_dict:       The dictionary of txt file name and the list of Presidio RecognizerResult constructed from analysis.</span>
+<span class="sd">    :param is_full_report: Whether generate full report or not.</span>
+
+<span class="sd">    :returns: The stats report for all txt files.</span>
+<span class="sd">    """</span>
+    <span class="c1"># These are placeholder for the json report</span>
+    <span class="n">stats_dict</span> <span class="o">=</span> <span class="p">{}</span>
+    <span class="k">for</span> <span class="n">txt_file</span><span class="p">,</span> <span class="n">results</span> <span class="ow">in</span> <span class="n">res_dict</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
+        <span class="n">new_stats</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="k">for</span> <span class="n">item</span> <span class="ow">in</span> <span class="n">_get_single_json</span><span class="p">(</span><span class="n">results</span><span class="p">,</span> <span class="n">is_full_report</span><span class="p">):</span>
+            <span class="k">if</span> <span class="n">is_full_report</span><span class="p">:</span>
+                <span class="n">item</span><span class="o">.</span><span class="n">analysis_explanation</span> <span class="o">=</span> <span class="n">item</span><span class="o">.</span><span class="n">analysis_explanation</span><span class="o">.</span><span class="n">to_dict</span><span class="p">()</span>
+                <span class="n">new_stats</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">item</span><span class="o">.</span><span class="n">to_dict</span><span class="p">())</span>
+            <span class="k">else</span><span class="p">:</span>
+                <span class="n">tmp_dict</span> <span class="o">=</span> <span class="n">item</span><span class="o">.</span><span class="n">to_dict</span><span class="p">()</span>
+                <span class="n">tmp_dict</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s2">"analysis_explanation"</span><span class="p">)</span>
+                <span class="n">tmp_dict</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s2">"recognition_metadata"</span><span class="p">)</span>
+                <span class="n">new_stats</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">tmp_dict</span><span class="p">)</span>
+        <span class="n">stats_dict</span><span class="p">[</span><span class="n">txt_file</span><span class="p">]</span> <span class="o">=</span> <span class="n">new_stats</span>
+    <span class="k">return</span> <span class="n">stats_dict</span>
+
+
+<div class="viewcode-block" id="recognize_pii"><a class="viewcode-back" href="documentation.html#pii_recognizer.pii_recognizer.recognize_pii">[docs]</a><span class="k">def</span> <span class="nf">recognize_pii</span><span class="p">(</span>
+    <span class="n">context</span><span class="p">:</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">MLClientCtx</span><span class="p">,</span>
+    <span class="n">input_path</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">pathlib</span><span class="o">.</span><span class="n">Path</span><span class="p">],</span>
+    <span class="n">html_key</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
+    <span class="n">score_threshold</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+    <span class="n">output_directory</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">entities</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span>
+        <span class="nb">str</span>
+    <span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>  <span class="c1"># List of entities to recognize, default is recognizing all</span>
+    <span class="n">entity_operator_map</span><span class="p">:</span> <span class="nb">dict</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">model</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">generate_json</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
+    <span class="n">generate_html</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
+    <span class="n">is_full_text</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
+    <span class="n">is_full_html</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
+    <span class="n">is_full_report</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
+<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Union</span><span class="p">[</span><span class="n">Tuple</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">,</span> <span class="nb">dict</span><span class="p">,</span> <span class="nb">dict</span><span class="p">],</span> <span class="n">Tuple</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">,</span> <span class="nb">dict</span><span class="p">]]:</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    Walk through the input path, recognize PII in text and store the anonymized text in the output path.</span>
+<span class="sd">    Generate the html with different colors for each entity, json report of the explanation.</span>
+
+<span class="sd">    :param context:              The MLRun context. this is needed for log the artifacts.</span>
+<span class="sd">    :param input_path:           The input path of the text files needs to be analyzed.</span>
+<span class="sd">    :param html_key:             The html key for the artifact.</span>
+<span class="sd">    :param score_threshold:      The score threshold to mark the recognition as trusted.</span>
+<span class="sd">    :param output_directory:     The output directory path to store the anonymized text.</span>
+<span class="sd">    :param entities:             The list of entities to recognize.</span>
+<span class="sd">    :param entity_operator_map:  The map of entity to operator (mask, redact, replace, keep, hash, and its params)</span>
+<span class="sd">    :param model:                The model to use. Can be "spacy", "flair", "pattern" or "whole".</span>
+<span class="sd">    :param generate_json:        Whether to generate the json report of the explanation.</span>
+<span class="sd">    :param generate_html:        Whether to generate the html report of the explanation.</span>
+<span class="sd">    :param is_full_text:         Whether to return the full text or only the masked text.</span>
+<span class="sd">    :param is_full_html:         Whether to return the full html or just the annotated text</span>
+<span class="sd">    :param is_full_report:       Whether to return the full report or just the score and start, end index</span>
+
+<span class="sd">    :returns: A tuple of:</span>
+
+<span class="sd">              * Path to the output directory</span>
+<span class="sd">              * The json report of the explanation (if generate_json is True)</span>
+<span class="sd">              * A dictionary of errors files that were not processed</span>
+
+<span class="sd">    """</span>
+
+    <span class="c1"># Set output directory</span>
+    <span class="k">if</span> <span class="n">output_directory</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+        <span class="n">output_directory</span> <span class="o">=</span> <span class="n">tempfile</span><span class="o">.</span><span class="n">mkdtemp</span><span class="p">()</span>
+
+    <span class="c1"># Create the output directory:</span>
+    <span class="n">output_directory</span> <span class="o">=</span> <span class="n">pathlib</span><span class="o">.</span><span class="n">Path</span><span class="p">(</span><span class="n">output_directory</span><span class="p">)</span>
+    <span class="k">if</span> <span class="ow">not</span> <span class="n">output_directory</span><span class="o">.</span><span class="n">exists</span><span class="p">():</span>
+        <span class="n">output_directory</span><span class="o">.</span><span class="n">mkdir</span><span class="p">(</span><span class="n">parents</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+    <span class="n">txt_files_directory</span> <span class="o">=</span> <span class="n">pathlib</span><span class="o">.</span><span class="n">Path</span><span class="p">(</span><span class="n">input_path</span><span class="p">)</span>
+    <span class="n">successes</span> <span class="o">=</span> <span class="p">[]</span>
+    <span class="n">errors</span> <span class="o">=</span> <span class="p">{}</span>
+
+    <span class="n">res_dict</span> <span class="o">=</span> <span class="p">{}</span>
+    <span class="n">txt_content</span> <span class="o">=</span> <span class="p">{}</span>
+    <span class="c1"># Load the model:</span>
+    <span class="n">analyzer</span> <span class="o">=</span> <span class="n">_get_analyzer_engine</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">entities</span><span class="p">)</span>
+    <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s2">"Model loaded"</span><span class="p">)</span>
+    <span class="c1"># Go over the text files in the input path, analyze and anonymize them:</span>
+    <span class="k">for</span> <span class="n">txt_file</span> <span class="ow">in</span> <span class="n">tqdm</span><span class="p">(</span>
+        <span class="nb">list</span><span class="p">(</span><span class="n">txt_files_directory</span><span class="o">.</span><span class="n">glob</span><span class="p">(</span><span class="s2">"*.txt"</span><span class="p">)),</span>
+        <span class="n">desc</span><span class="o">=</span><span class="s2">"Processing files"</span><span class="p">,</span>
+        <span class="n">unit</span><span class="o">=</span><span class="s2">"file"</span><span class="p">,</span>
+    <span class="p">):</span>
+        <span class="k">try</span><span class="p">:</span>
+            <span class="c1"># Load the str from the text file</span>
+            <span class="n">text</span> <span class="o">=</span> <span class="n">txt_file</span><span class="o">.</span><span class="n">read_text</span><span class="p">()</span>
+            <span class="n">txt_content</span><span class="p">[</span><span class="nb">str</span><span class="p">(</span><span class="n">txt_file</span><span class="p">)]</span> <span class="o">=</span> <span class="n">text</span>
+            <span class="c1"># Process the text to recoginze the pii entities in it</span>
+            <span class="n">anonymized_text</span><span class="p">,</span> <span class="n">results</span> <span class="o">=</span> <span class="n">_process</span><span class="p">(</span>
+                <span class="n">text</span><span class="o">=</span><span class="n">text</span><span class="p">,</span>
+                <span class="n">model</span><span class="o">=</span><span class="n">analyzer</span><span class="p">,</span>
+                <span class="n">entities</span><span class="o">=</span><span class="n">entities</span><span class="p">,</span>
+                <span class="n">entities_operator_map</span><span class="o">=</span><span class="n">entity_operator_map</span><span class="p">,</span>
+                <span class="n">score_threshold</span><span class="o">=</span><span class="n">score_threshold</span><span class="p">,</span>
+                <span class="n">is_full_text</span><span class="o">=</span><span class="n">is_full_text</span><span class="p">,</span>
+            <span class="p">)</span>
+            <span class="n">res_dict</span><span class="p">[</span><span class="nb">str</span><span class="p">(</span><span class="n">txt_file</span><span class="p">)]</span> <span class="o">=</span> <span class="n">results</span>
+            <span class="c1"># Store the anonymized text in the output path</span>
+            <span class="n">output_file</span> <span class="o">=</span> <span class="n">output_directory</span> <span class="o">/</span> <span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">txt_file</span><span class="o">.</span><span class="n">stem</span><span class="si">}</span><span class="s2">.txt"</span>
+            <span class="n">output_file</span><span class="o">.</span><span class="n">parent</span><span class="o">.</span><span class="n">mkdir</span><span class="p">(</span><span class="n">parents</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+            <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">output_file</span><span class="p">,</span> <span class="s2">"w"</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+                <span class="n">f</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="n">anonymized_text</span><span class="p">)</span>
+            <span class="n">successes</span><span class="o">.</span><span class="n">append</span><span class="p">([</span><span class="n">txt_file</span><span class="o">.</span><span class="n">name</span><span class="p">,</span> <span class="n">output_file</span><span class="o">.</span><span class="n">name</span><span class="p">])</span>
+        <span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
+            <span class="n">errors</span><span class="p">[</span><span class="nb">str</span><span class="p">(</span><span class="n">txt_file</span><span class="p">)]</span> <span class="o">=</span> <span class="nb">str</span><span class="p">(</span><span class="n">e</span><span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Error processing </span><span class="si">{</span><span class="n">txt_file</span><span class="si">}</span><span class="s2">: </span><span class="si">{</span><span class="n">e</span><span class="si">}</span><span class="s2">"</span><span class="p">)</span>
+
+    <span class="n">successes</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span>
+        <span class="n">successes</span><span class="p">,</span>
+        <span class="n">columns</span><span class="o">=</span><span class="p">[</span><span class="s2">"original_file"</span><span class="p">,</span> <span class="s2">"anonymized_file"</span><span class="p">],</span>
+    <span class="p">)</span>
+
+    <span class="k">if</span> <span class="n">generate_html</span><span class="p">:</span>
+        <span class="c1"># Generate the html report</span>
+        <span class="n">html_res</span> <span class="o">=</span> <span class="n">_get_all_html</span><span class="p">(</span><span class="n">txt_content</span><span class="p">,</span> <span class="n">res_dict</span><span class="p">,</span> <span class="n">is_full_html</span><span class="p">)</span>
+        <span class="c1"># Store the html report in the context</span>
+        <span class="n">arti_html</span> <span class="o">=</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">artifacts</span><span class="o">.</span><span class="n">Artifact</span><span class="p">(</span><span class="n">body</span><span class="o">=</span><span class="n">html_res</span><span class="p">,</span> <span class="nb">format</span><span class="o">=</span><span class="s2">"html"</span><span class="p">,</span> <span class="n">key</span><span class="o">=</span><span class="n">html_key</span><span class="p">)</span>
+        <span class="n">context</span><span class="o">.</span><span class="n">log_artifact</span><span class="p">(</span><span class="n">arti_html</span><span class="p">)</span>
+    <span class="k">if</span> <span class="n">generate_json</span><span class="p">:</span>
+        <span class="c1"># Generate the json report</span>
+        <span class="n">json_res</span> <span class="o">=</span> <span class="n">_get_all_rpt</span><span class="p">(</span><span class="n">res_dict</span><span class="p">,</span> <span class="n">is_full_report</span><span class="p">)</span>
+        <span class="k">return</span> <span class="nb">str</span><span class="p">(</span><span class="n">output_directory</span><span class="p">),</span> <span class="n">successes</span><span class="p">,</span> <span class="n">errors</span><span class="p">,</span> <span class="n">json_res</span>
+    <span class="k">return</span> <span class="nb">str</span><span class="p">(</span><span class="n">output_directory</span><span class="p">),</span> <span class="n">successes</span><span class="p">,</span> <span class="n">errors</span></div>
+</pre></div>
+</div>
+</main>
+<footer class="footer-article noprint">
+<!-- Previous / next buttons -->
+<div class="prev-next-area">
+</div>
+</footer>
+</div>
+</div>
+<div class="footer-content row">
+<footer class="col footer"><p>
+  
+      © Copyright .<br/>
+</p>
+</footer>
+</div>
+</div>
+</div>
+</div>
+<!-- Scripts loaded after <body> so the DOM is not blocked -->
+<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf"></script>
+</body>
+</html>
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diff --git a/functions/master/pii_recognizer/0.3.0/static/source.html b/functions/master/pii_recognizer/0.3.0/static/source.html
new file mode 100644
index 00000000..afaeb9dc
--- /dev/null
+++ b/functions/master/pii_recognizer/0.3.0/static/source.html
@@ -0,0 +1,973 @@
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta content="IE=edge" http-equiv="X-UA-Compatible">
+    <meta content="width=device-width, initial-scale=1.0" name="viewport">
+    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/styles/atom-one-dark.min.css">
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/highlight.min.js"></script>
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/languages/python.min.js"></script>
+    <title>Source</title>
+    <script>hljs.highlightAll();</script>
+</head>
+
+<body style="background-color:darkgray; margin: 0 0 0 0;">
+    <pre style="margin: 0 1em;">
+        <code class="python">
+# Copyright 2023 Iguazio
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import logging
+import os
+import pathlib
+import tempfile
+import warnings
+from typing import List, Set, Tuple, Union
+
+import annotated_text.util as at_util
+import mlrun
+import nltk
+import pandas as pd
+import presidio_analyzer as pa
+import presidio_anonymizer as pre_anoymizer
+from presidio_anonymizer.entities import OperatorConfig
+from tqdm import tqdm
+
+try:
+    import flair as fl
+except ModuleNotFoundError:
+    print("Flair is not installed")
+
+# There is a conflict between Rust-based tokenizers' parallel processing
+# and Python's fork operations during multiprocessing. To avoid this, we need
+# the following two lines
+
+os.environ["TOKENIZERS_PARALLELISM"] = "false"
+warnings.filterwarnings("ignore")
+
+logger = logging.getLogger("pii-recognizer")
+
+
+# Add the constant classes of Models and Entities to govern the whole package
+class Models:
+    WHOLE = "whole"
+    PATTERN = "pattern"
+    SPACY = "spacy"
+    FLAIR = "flair"
+
+
+class Entities:
+    CREDIT_CARD = "CREDIT_CARD"
+    SSN = "SSN"
+    PHONE = "PHONE"
+    EMAIL = "EMAIL"
+    LOCATION = "LOCATION"
+    PERSON = "PERSON"
+    NRP = "NRP"
+    ORGANIZATION = "ORGANIZATION"
+    DATE_TIME = "DATE_TIME"
+    GPE = ("GPE",)
+    MAC_ADDRESS = "MAC_ADDRESS"
+    US_BANK_NUMBER = "US_BANK_NUMBER"
+    IMEI = "IMEI"
+    TITLE = "TITLE"
+    LICENSE_PLATE = "LICENSE_PLATE"
+    US_PASSPORT = "US_PASSPORT"
+    CURRENCY = "CURRENCY"
+    ROUTING_NUMBER = "ROUTING_NUMBER"
+    US_ITIN = "US_ITIN"
+    US_BANK_NUMBER = "US_BANK_NUMBER"
+    US_DRIVER_LICENSE = "US_DRIVER_LICENSE"
+    AGE = "AGE"
+    PASSWORD = "PASSWORD"
+    SWIFT_CODE = "SWIFT_CODE"
+
+
+class PatternRecognizerFactory:
+    """
+    Factory for creating pattern recognizers, it can be extended in the future to
+    add more regex pattern for different entities. For the pattern recognizer to work,
+    we need construct a list of regex patterns for each entity.
+    """
+
+    RECOGNIZABLE_ENTITIES = {
+        "CREDIT_CARD": [pa.Pattern("CREDIT_CARD", r"\b(?:\d[ -]*?){13,16}\b", 0.5)],
+        "SSN": [pa.Pattern("SSN", r"\b\d{3}-?\d{2}-?\d{4}\b", 0.5)],
+        "PHONE": [pa.Pattern("PHONE", r"\(?\d{3}\)?[-.\s]?\d{3}[-.\s]?\d{4}", 0.5)],
+        "EMAIL": [pa.Pattern("EMAIL", r"\S+@\S+", 0.5)],
+    }
+
+    # create a list of pattern recognizers
+    @classmethod
+    def _create_pattern_recognizer(cls):
+        """
+        For each entity, create a list of patterns to recognize it
+
+        :param cls: PatternRecognizerFactory class
+
+        :returns: List of pattern recognizers
+        """
+
+        # Entities to recognize and their regex patterns
+
+        return [
+            pa.PatternRecognizer(supported_entity=entity, patterns=pattern)
+            for entity, pattern in cls.RECOGNIZABLE_ENTITIES.items()
+        ]
+
+
+class CustomSpacyRecognizer(pa.LocalRecognizer):
+    """
+    Custom Spacy Recognizer from Presidio Analyzer trained on Privy data.
+    The privy data is generated using this https://github.com/pixie-io/pixie/tree/main/src/datagen/pii/privy
+    It can be used to recognize custom entities, Since we want to use Presidio's Registries to generate AnalyzerEngine,
+    it inherits from Presidio Analyzer's LocalRecognizer class.
+    """
+
+    # Entities to recognize
+
+    RECOGNIZABLE_ENTITIES = {
+        "LOCATION",
+        "PERSON",
+        "NRP",
+        "ORGANIZATION",
+        "DATE_TIME",
+    }
+
+    # Default explanation for this recognizer
+
+    _DEFAULT_EXPLANATION = (
+        "Identified as {} by Spacy's Named Entity Recognition (Privy-trained)"
+    )
+
+    # Label groups to check
+
+    _DEFAULT_CHECK_LABEL_GROUPS = [
+        ({"LOCATION"}, {"LOC", "LOCATION", "STREET_ADDRESS", "COORDINATE"}),
+        ({"PERSON"}, {"PER", "PERSON"}),
+        ({"NRP"}, {"NORP", "NRP"}),
+        ({"ORGANIZATION"}, {"ORG"}),
+        ({"DATE_TIME"}, {"DATE_TIME"}),
+    ]
+
+    # pretrained model for this recognizer
+
+    _DEFAULT_MODEL_LANGUAGES = {
+        "en": "beki/en_spacy_pii_distilbert",
+    }
+
+    _DEFAULT_PRESIDIO_EQUIVALENCES = {
+        "PER": "PERSON",
+        "LOC": "LOCATION",
+        "ORG": "ORGANIZATION",
+        "NROP": "NRP",
+        "DATE_TIME": "DATE_TIME",
+    }
+
+    def __init__(
+        self,
+        supported_language: str = "en",
+        supported_entities: List[str] = None,
+        check_label_groups: Tuple[Set, Set] = None,
+        context: List[str] = None,
+        ner_strength: float = 1,
+    ):
+        """
+        Initialize Spacy Recognizer.
+
+        :param supported_language: Language to use, default is English
+        :param supported_entities: Entities to use for recognition
+        :param check_label_groups: Label groups to check for the entities
+        :param context:            Context to use if any
+        :param ner_strength:       Default confidence for NER prediction
+
+        :returns: SpacyRecognizer object
+        """
+
+        # Default confidence for NER prediction
+        self.ner_strength = ner_strength
+
+        self.check_label_groups = check_label_groups or self._DEFAULT_CHECK_LABEL_GROUPS
+        supported_entities = supported_entities or self.RECOGNIZABLE_ENTITIES
+        super().__init__(
+            supported_entities=supported_entities,
+            supported_language=supported_language,
+        )
+
+    # get the presidio explanation for the result
+
+    def _build_spacy_explanation(
+        self, original_score: float, explanation: str
+    ) -> pa.AnalysisExplanation:
+        """
+        Create explanation for why this result was detected.
+
+        :param original_score: Score given by this recognizer
+        :param explanation:    Explanation string
+
+        :returns: Presidio AnalysisExplanation object
+        """
+        explanation = pa.AnalysisExplanation(
+            recognizer=self.__class__.__name__,
+            original_score=original_score,
+            textual_explanation=explanation,
+        )
+        return explanation
+
+    # main method for the recognizer
+    def analyze(self, text: str, entities: List[str], nlp_artifacts=None):  # noqa D102
+        """
+        Analyze text using Spacy.
+
+        :param text:          Text to analyze
+        :param entities:      Entities to analyze
+        :param nlp_artifacts: NLP artifacts to use
+
+        :returns: List of Presidio RecognizerResult objects
+        """
+        results = []
+        if not nlp_artifacts:
+            logger.warning("Skipping SpaCy, nlp artifacts not provided...")
+            return results
+
+        ner_entities = nlp_artifacts.entities
+
+        # recognize the supported entities
+        for entity in entities:
+            if entity not in self.supported_entities:
+                continue
+            for ent in ner_entities:
+                if not self.__check_label(entity, ent.label_, self.check_label_groups):
+                    continue
+
+                # string of the explanation saying the entity is recognized by spacy
+                textual_explanation = self._DEFAULT_EXPLANATION.format(ent.label_)
+                explanation = self._build_spacy_explanation(
+                    self.ner_strength, textual_explanation
+                )
+
+                # create the standard result with the entity, start, end, score, and explanation
+                spacy_result = pa.RecognizerResult(
+                    entity_type=entity,
+                    start=ent.start_char,
+                    end=ent.end_char,
+                    score=self.ner_strength,
+                    analysis_explanation=explanation,
+                    recognition_metadata={
+                        pa.RecognizerResult.RECOGNIZER_NAME_KEY: self.name
+                    },
+                )
+                results.append(spacy_result)
+
+        return results
+
+    @staticmethod
+    def __check_label(
+        entity: str, label: str, check_label_groups: Tuple[Set, Set]
+    ) -> bool:
+        """
+        Check if the label is in the label group.
+
+        :param entity:             Entity to check
+        :param label:              Label to check
+        :param check_label_groups: Label groups to check
+
+        :returns: True if the label is in the label group, False otherwise
+        """
+        return any(
+            entity in egrp and label in lgrp for egrp, lgrp in check_label_groups
+        )
+
+
+# Class to use Flair with Presidio as an external recognizer.
+class FlairRecognizer(pa.EntityRecognizer):
+    """
+    Wrapper for a flair model, if needed to be used within Presidio Analyzer.
+    This is to make sure the recognizer can be registered with Presidio registry.
+    """
+
+    RECOGNIZABLE_ENTITIES = {
+        "LOCATION",
+        "PERSON",
+        "NRP",
+        "GPE",
+        "ORGANIZATION",
+        "MAC_ADDRESS",
+        "US_BANK_NUMBER",
+        "IMEI",
+        "TITLE",
+        "LICENSE_PLATE",
+        "US_PASSPORT",
+        "CURRENCY",
+        "ROUTING_NUMBER",
+        "US_ITIN",
+        "US_BANK_NUMBER",
+        "US_DRIVER_LICENSE",
+        "AGE",
+        "PASSWORD",
+        "SWIFT_CODE",
+    }
+
+    # This is used to construct the explanation for the result
+
+    _DEFAULT_EXPLANATION = "Identified as {} by Flair's Named Entity Recognition"
+
+    _DEFAULT_CHECK_LABEL_GROUPS = [
+        ({"LOCATION"}, {"LOC", "LOCATION", "STREET_ADDRESS", "COORDINATE"}),
+        ({"PERSON"}, {"PER", "PERSON"}),
+        ({"NRP"}, {"NORP", "NRP"}),
+        ({"GPE"}, {"GPE"}),
+        ({"ORGANIZATION"}, {"ORG"}),
+        ({"MAC_ADDRESS"}, {"MAC_ADDRESS"}),
+        ({"US_BANK_NUMBER"}, {"US_BANK_NUMBER"}),
+        ({"IMEI"}, {"IMEI"}),
+        ({"TITLE"}, {"TITLE"}),
+        ({"LICENSE_PLATE"}, {"LICENSE_PLATE"}),
+        ({"US_PASSPORT"}, {"US_PASSPORT"}),
+        ({"CURRENCY"}, {"CURRENCY"}),
+        ({"ROUTING_NUMBER"}, {"ROUTING_NUMBER"}),
+        ({"AGE"}, {"AGE"}),
+        ({"CURRENCY"}, {"CURRENCY"}),
+        ({"SWIFT_CODE"}, {"SWIFT_CODE"}),
+        ({"US_ITIN"}, {"US_ITIN"}),
+        ({"US_BANK_NUMBER"}, {"US_BANK_NUMBER"}),
+        ({"US_DRIVER_LICENSE"}, {"US_DRIVER_LICENSE"}),
+    ]
+
+    _DEFAULT_MODEL_LANGUAGES = {
+        "en": "beki/flair-pii-distilbert",
+    }
+
+    _DEFAULT_PRESIDIO_EQUIVALENCES = {
+        "PER": "PERSON",
+        "LOC": "LOCATION",
+        "ORG": "ORGANIZATION",
+        "NROP": "NRP",
+        "URL": "URL",
+        "US_ITIN": "US_ITIN",
+        "US_PASSPORT": "US_PASSPORT",
+        "IBAN_CODE": "IBAN_CODE",
+        "IP_ADDRESS": "IP_ADDRESS",
+        "EMAIL_ADDRESS": "EMAIL",
+        "US_DRIVER_LICENSE": "US_DRIVER_LICENSE",
+        "US_BANK_NUMBER": "US_BANK_NUMBER",
+    }
+
+    def __init__(
+        self,
+        supported_language: str = "en",
+        supported_entities: List[str] = None,
+        check_label_groups: Tuple[Set, Set] = None,
+    ):
+        """
+        Initialize the FlairRecognizer.
+
+        :param supported_language: Language to use
+        :param supported_entities: Entities to use
+        :param check_label_groups: Label groups to check
+
+        :returns: FlairRecognizer object
+
+        """
+        self.check_label_groups = check_label_groups or self._DEFAULT_CHECK_LABEL_GROUPS
+
+        supported_entities = supported_entities or self.RECOGNIZABLE_ENTITIES
+        self.model = fl.models.SequenceTagger.load(
+            self._DEFAULT_MODEL_LANGUAGES.get(supported_language)
+        )
+
+        super().__init__(
+            supported_entities=supported_entities,
+            supported_language=supported_language,
+            name="Flair Analytics",
+        )
+
+    # main method for the recognizer
+    def analyze(
+        self,
+        text: str,
+        entities: List[str],
+        nlp_artifacts: pa.nlp_engine.NlpArtifacts = None,
+    ) -> List[pa.RecognizerResult]:
+        """
+        Analyze text and return the results.
+
+        :param text:          The text for analysis.
+        :param entities:      The list of entities to recognize.
+        :param nlp_artifacts: Not used by this recognizer but needed for the interface.
+
+        :returns: The list of Presidio RecognizerResult constructed from the recognized Flair detections.
+        """
+
+        results = []
+
+        sentences = fl.data.Sentence(text)
+        self.model.predict(sentences)
+
+        # If there are no specific list of entities, we will look for all of it.
+        if not entities:
+            entities = self.supported_entities
+
+        # Go over the entities and check if they are in the supported entities list.
+        for entity in entities:
+            if entity not in self.supported_entities:
+                continue
+
+            # Go over the sentences and check if the entity is in the sentence.
+            for ent in sentences.get_spans("ner"):
+                if not self.__check_label(
+                    entity, ent.labels[0].value, self.check_label_groups
+                ):
+                    continue
+
+                # If the entity is in the sentence, we will add it to the results.
+                textual_explanation = self._DEFAULT_EXPLANATION.format(
+                    ent.labels[0].value
+                )
+
+                # Build the explanation for the result
+                explanation = self._build_flair_explanation(
+                    round(ent.score, 2), textual_explanation
+                )
+
+                flair_result = self._convert_to_recognizer_result(ent, explanation)
+
+                results.append(flair_result)
+
+        return results
+
+    def _convert_to_recognizer_result(
+        self, entity: fl.data.Span, explanation: str
+    ) -> pa.RecognizerResult:
+        """
+        Convert Flair result to Presidio RecognizerResult.
+
+        :param entity:      Flair entity of Span
+        :param explanation: Presidio AnalysisExplanation
+
+        :returns: Presidio RecognizerResult
+        """
+
+        # Convert the entity type to Presidio entity type
+        entity_type = self._DEFAULT_PRESIDIO_EQUIVALENCES.get(entity.tag, entity.tag)
+
+        # Convert the score to Presidio score
+        flair_score = round(entity.score, 2)
+
+        # Create the Presidio RecognizerResult from the Flair entity
+        flair_results = pa.RecognizerResult(
+            entity_type=entity_type,
+            start=entity.start_position,
+            end=entity.end_position,
+            score=flair_score,
+            analysis_explanation=explanation,
+        )
+
+        return flair_results
+
+    def _build_flair_explanation(
+        self, original_score: float, explanation: str
+    ) -> pa.AnalysisExplanation:
+        """
+        Create explanation for why this result was detected.
+
+        :param original_score: Score given by this recognizer
+        :param explanation:    Explanation string
+
+        :returns: Presidio AnalysisExplanation
+        """
+
+        # Create the Presidio AnalysisExplanation for the result
+        explanation = pa.AnalysisExplanation(
+            recognizer=self.__class__.__name__,
+            original_score=original_score,
+            textual_explanation=explanation,
+        )
+        return explanation
+
+    # sanity check of the entity and label before recognition
+    @staticmethod
+    def __check_label(
+        entity: str, label: str, check_label_groups: Tuple[Set, Set]
+    ) -> bool:
+        return any(
+            entity in egrp and label in lgrp for egrp, lgrp in check_label_groups
+        )
+
+
+# get the analyzer engine based on the model
+def _get_analyzer_engine(
+    model: str = None, entities: List[str] = None
+) -> pa.AnalyzerEngine:
+    """
+    Return pa.AnalyzerEngine.
+
+    :param model: The model to use. Can be "spacy", "flair", "pattern" or "whole".
+    :param entities: The list of entities to use.
+
+    :returns: pa.AnalyzerEngine
+    """
+    # recognizer registry that can store multiple recognizers
+    registry = pa.RecognizerRegistry()
+    if model == Models.SPACY:
+        # custom spacy recognizer
+        spacy_recognizer = CustomSpacyRecognizer()
+        # add the custom build spacy recognizer
+        registry.add_recognizer(spacy_recognizer)
+    elif model == Models.FLAIR:
+        # pre-trained flair recognizer
+        flair_recognizer = FlairRecognizer()
+        # add the custom build flair recognizer
+        registry.add_recognizer(flair_recognizer)
+    elif model == Models.PATTERN:
+        # add the pattern recognizer
+        pattern_recognizer_factory = PatternRecognizerFactory()
+        for recognizer in pattern_recognizer_factory._create_pattern_recognizer():
+            registry.add_recognizer(recognizer)
+    elif model == Models.WHOLE:
+        spacy_recognizer = CustomSpacyRecognizer()
+        flair_recognizer = FlairRecognizer()
+        registry.add_recognizer(spacy_recognizer)
+        registry.add_recognizer(flair_recognizer)
+        # add the pattern recognizer
+        pattern_recognizer_factory = PatternRecognizerFactory()
+        for recognizer in pattern_recognizer_factory._create_pattern_recognizer():
+            registry.add_recognizer(recognizer)
+    elif not model and entities:
+        if set(entities) & CustomSpacyRecognizer.RECOGNIZABLE_ENTITIES:
+            spacy_recognizer = CustomSpacyRecognizer()
+            registry.add_recognizer(spacy_recognizer)
+        if set(entities) & FlairRecognizer.RECOGNIZABLE_ENTITIES:
+            flair_recognizer = FlairRecognizer()
+            registry.add_recognizer(flair_recognizer)
+        # add the pattern recognizer
+        if set(entities) & (set(PatternRecognizerFactory.RECOGNIZABLE_ENTITIES.keys())):
+            pattern_recognizer_factory = PatternRecognizerFactory()
+            for recognizer in pattern_recognizer_factory._create_pattern_recognizer():
+                registry.add_recognizer(recognizer)
+    else:
+        raise ValueError(
+            f"argument of model and entities can not be None at the same time"
+        )
+    analyzer = pa.AnalyzerEngine(
+        registry=registry,
+        supported_languages=["en"],
+    )
+
+    supported_entities = analyzer.get_supported_entities()
+
+    if entities and not all(item in supported_entities for item in entities):
+        not_supported_entities = [
+            item for item in entities if item not in supported_entities
+        ]
+        raise ValueError(
+            f"The current model {model} doesn't support the following entities: {not_supported_entities}. "
+            f"Supported entities are: {supported_entities}"
+        )
+    return analyzer
+
+
+def _get_anonymizer_engine() -> pre_anoymizer.AnonymizerEngine:
+    """
+    Return AnonymizerEngine.
+
+    :returns: The AnonymizerEngine.
+    """
+    return pre_anoymizer.AnonymizerEngine()
+
+
+def _anonymize(
+    text: str,
+    analyze_results: List[pa.RecognizerResult],
+    entity_operator_map: dict = None,
+    is_full_text: bool = True,
+) -> str:
+    """
+    Anonymize identified input using Presidio Abonymizer.
+
+    :param text:                The text for analysis.
+    :param analyze_results:     The list of Presidio RecognizerResult constructed from
+    :param entity_operator_map: The entity_operator_map is a dictionary that maps entity to operator name and operator params.
+    :param is_full_text:        Whether the text is full text or not.
+
+    :returns: The anonymized text.
+    """
+    if not text:
+        return ""
+
+    anonymizer_engine = _get_anonymizer_engine()
+    if not entity_operator_map:
+        operators = None
+    else:
+        # Create OperatorConfig based on the entity_operator_map
+        operators = {
+            entity: OperatorConfig(operator_name, operator_params)
+            for entity, (operator_name, operator_params) in entity_operator_map.items()
+        }
+
+    if is_full_text:
+        # Anonymize the entire text
+        return anonymizer_engine.anonymize(
+            text=text, analyzer_results=analyze_results, operators=operators
+        ).text
+    # Tokenize the text to sentences
+    sentences = nltk.sent_tokenize(text)
+    anonymized_sentences = []
+    current_idx = 0
+
+    # Find the sentence that has pii entity
+    for sentence in sentences:
+        start_idx = current_idx
+        end_idx = start_idx + len(sentence)
+
+        # Get the entities that are in the sentence, update hte start_idx and end_idx
+        sentence_results = [
+            pa.RecognizerResult(
+                result.entity_type,
+                start=result.start - start_idx,
+                end=result.end - start_idx,
+                score=result.score,
+            )
+            for result in analyze_results
+            if result.start >= start_idx and result.end <= end_idx
+        ]
+
+        # If PII is detected
+        if sentence_results:
+            anonymized_sentence = anonymizer_engine.anonymize(
+                text=sentence, analyzer_results=sentence_results, operators=operators
+            ).text
+            anonymized_sentences.append(anonymized_sentence)
+
+        current_idx = end_idx
+
+    return " ".join(anonymized_sentences)
+
+
+def _get_tokens(
+    text: str, analyze_results: List[pa.RecognizerResult], is_full: bool = True
+) -> List[str]:
+    """
+    Get the full tokens or only contains the entities that can form a sentence.
+
+    :param text:            The text for analysis.
+    :param analyze_results: The list of Presidio RecognizerResult constructed from
+    :param is_full:         Whether return full tokens or just the tokens that only contains the entities that can form a sentence.
+
+    :returns: The tokens.
+    """
+
+    tokens = []
+    # sort by start index
+    results = sorted(analyze_results, key=lambda x: x.start)
+    for i, res in enumerate(results):
+        if i == 0:
+            tokens.append(text[: res.start])
+
+        # append entity text and entity type
+        tokens.append((text[res.start : res.end], res.entity_type))
+
+        # if another entity coming i.e. we're not at the last results element,
+        # add text up to next entity
+        if i != len(results) - 1:
+            tokens.append(text[res.end : results[i + 1].start])
+        # if no more entities coming, add all remaining text
+        else:
+            tokens.append(text[res.end :])
+
+    # get the tokens that only contains the entities that can form a sentence
+    part_annontated_tokens = []
+    if not is_full:
+        last_end_sentence = 0
+        for i, token in enumerate(tokens):
+            if any(item in token for item in [".", "!", "?"]) and any(
+                type(item) is tuple for item in tokens[last_end_sentence:i]
+            ):
+                part_annontated_tokens.append(tokens[last_end_sentence:i])
+                last_end_sentence = i
+        return part_annontated_tokens
+    return tokens
+
+
+def _annotate(
+    text: str, st_analyze_results: List[pa.RecognizerResult], is_full_html: bool = True
+) -> List[str]:
+    """
+    Annotate identified input using Presidio Anonymizer.
+
+    :param text:               The text for analysis.
+    :param st_analyze_results: The list of Presidio RecognizerResult constructed from analysis.
+    :param is_full_html:       Whether generate full html or not.
+
+    :returns: The list of tokens with the identified entities.
+
+    """
+    return _get_tokens(text, st_analyze_results, is_full_html)
+
+
+def _process(
+    text: str,
+    model: pa.AnalyzerEngine,
+    score_threshold: float,
+    entities: List[str] = None,
+    entities_operator_map: dict = None,
+    is_full_text: bool = True,
+) -> Tuple[str, list]:
+    """
+    Process the text of str using the model.
+
+    :param text:                  Text to process
+    :param model:                 Model to use for processing
+    :param entities:              Entities to recognize
+    :param entities_operator_map: The entity_operator_map is a dictionary that maps entity to operator name and operator params.
+    :param score_threshold:       The score threshold to use for recognition
+    :param is_full_text:          Whether to return the full text or just the annotated text
+
+    :returns: A tuple of:
+
+              * the anonymized text
+              * the list of Presidio RecognizerResult constructed from analysis
+    """
+
+    # get the analyzer engine
+    analyzer = model
+
+    # analyze the text that can be used for anonymization
+    results = analyzer.analyze(
+        text=text,
+        language="en",
+        entities=entities,
+        score_threshold=score_threshold,
+        return_decision_process=True,
+    )
+
+    # anonymize the text, replace the pii entities with the labels
+    anonymized_text = _anonymize(text, results, entities_operator_map, is_full_text)
+
+    return anonymized_text, results
+
+
+def _get_single_html(
+    text: str, results: List[pa.RecognizerResult], is_full_html: bool = True
+):
+    """
+    Generate the html for a single txt file.
+
+    :param text:         The text for analysis.
+    :param results:      The list of Presidio RecognizerResult constructed from analysis.
+    :param is_full_html: Whether generate full html or not.
+
+    :returns: The html string for a single txt file.
+    """
+    # convert the results to tokens to generate the html
+    tokens = _annotate(text, results, is_full_html)
+    html = at_util.get_annotated_html(*tokens)
+
+    # avoid the error during rendering of the \n in the html
+    backslash_char = "\\"
+
+    html_str = f"<p>{html.replace('{backslash_char}n', '<br>')}</p>"
+
+    return html_str
+
+
+def _get_single_json(results: List[pa.RecognizerResult], is_full_report: bool = True):
+    """
+    Generate the json for a single txt file.
+
+    :param results:        The list of Presidio RecognizerResult constructed from analysis.
+    :param is_full_report: Whether generate full json or not.
+
+    :returns: The json string for a single txt file.
+    """
+    # generate the stats report if needed
+    if not is_full_report:
+        stats = []
+        # add the simplify stats logic here
+        for item in results:
+            item.analysis_explanation = None
+            stats.append(item)
+    else:
+        stats = results
+
+    return stats
+
+
+def _get_all_html(
+    txt_content: dict,
+    res_dict: dict,
+    is_full_html: bool = True,
+):
+    """
+    Generate the html for all txt files.
+
+    :param txt_content:  The dictionary of txt file name and content.
+    :param res_dict:     The dictionary of txt file name and the list of Presidio RecognizerResult constructed from analysis.
+    :param is_full_html: Whether generate full html or not.
+
+    :returns: The html string for all txt files.
+
+    """
+    # These are placeholder for the html string
+    html_index = "<html><head><title>Highlighted Pii Entities</title></head><body><h1>Highlighted Pii Entities</h1><ul>"
+    html_content = ""
+    for txt_file, results in res_dict.items():
+        txt = txt_content[txt_file]
+        html_index += f"<li><a href='#{txt_file}'>{txt_file}</a></li>"
+        html_content += f"<li><h2>{txt_file}</h2><p>{_get_single_html(txt, results, is_full_html)}</p></li>"
+    html_index += "</ul>"
+    html_res = f"{html_index}{html_content}</body></html>"
+
+    return html_res
+
+
+def _get_all_rpt(res_dict: dict, is_full_report: bool = True):
+    """
+    Generate the stats report for all txt files.
+
+    :param res_dict:       The dictionary of txt file name and the list of Presidio RecognizerResult constructed from analysis.
+    :param is_full_report: Whether generate full report or not.
+
+    :returns: The stats report for all txt files.
+    """
+    # These are placeholder for the json report
+    stats_dict = {}
+    for txt_file, results in res_dict.items():
+        new_stats = []
+        for item in _get_single_json(results, is_full_report):
+            if is_full_report:
+                item.analysis_explanation = item.analysis_explanation.to_dict()
+                new_stats.append(item.to_dict())
+            else:
+                tmp_dict = item.to_dict()
+                tmp_dict.pop("analysis_explanation")
+                tmp_dict.pop("recognition_metadata")
+                new_stats.append(tmp_dict)
+        stats_dict[txt_file] = new_stats
+    return stats_dict
+
+
+def recognize_pii(
+    context: mlrun.MLClientCtx,
+    input_path: Union[str, pathlib.Path],
+    html_key: str,
+    score_threshold: float,
+    output_directory: str = None,
+    entities: List[
+        str
+    ] = None,  # List of entities to recognize, default is recognizing all
+    entity_operator_map: dict = None,
+    model: str = None,
+    generate_json: bool = True,
+    generate_html: bool = True,
+    is_full_text: bool = True,
+    is_full_html: bool = True,
+    is_full_report: bool = True,
+) -> Union[Tuple[str, pd.DataFrame, dict, dict], Tuple[str, pd.DataFrame, dict]]:
+    """
+    Walk through the input path, recognize PII in text and store the anonymized text in the output path.
+    Generate the html with different colors for each entity, json report of the explanation.
+
+    :param context:              The MLRun context. this is needed for log the artifacts.
+    :param input_path:           The input path of the text files needs to be analyzed.
+    :param html_key:             The html key for the artifact.
+    :param score_threshold:      The score threshold to mark the recognition as trusted.
+    :param output_directory:     The output directory path to store the anonymized text.
+    :param entities:             The list of entities to recognize.
+    :param entity_operator_map:  The map of entity to operator (mask, redact, replace, keep, hash, and its params)
+    :param model:                The model to use. Can be "spacy", "flair", "pattern" or "whole".
+    :param generate_json:        Whether to generate the json report of the explanation.
+    :param generate_html:        Whether to generate the html report of the explanation.
+    :param is_full_text:         Whether to return the full text or only the masked text.
+    :param is_full_html:         Whether to return the full html or just the annotated text
+    :param is_full_report:       Whether to return the full report or just the score and start, end index
+
+    :returns: A tuple of:
+
+              * Path to the output directory
+              * The json report of the explanation (if generate_json is True)
+              * A dictionary of errors files that were not processed
+
+    """
+
+    # Set output directory
+    if output_directory is None:
+        output_directory = tempfile.mkdtemp()
+
+    # Create the output directory:
+    output_directory = pathlib.Path(output_directory)
+    if not output_directory.exists():
+        output_directory.mkdir(parents=True, exist_ok=True)
+
+    txt_files_directory = pathlib.Path(input_path)
+    successes = []
+    errors = {}
+
+    res_dict = {}
+    txt_content = {}
+    # Load the model:
+    analyzer = _get_analyzer_engine(model, entities)
+    logger.info("Model loaded")
+    # Go over the text files in the input path, analyze and anonymize them:
+    for txt_file in tqdm(
+        list(txt_files_directory.glob("*.txt")),
+        desc="Processing files",
+        unit="file",
+    ):
+        try:
+            # Load the str from the text file
+            text = txt_file.read_text()
+            txt_content[str(txt_file)] = text
+            # Process the text to recoginze the pii entities in it
+            anonymized_text, results = _process(
+                text=text,
+                model=analyzer,
+                entities=entities,
+                entities_operator_map=entity_operator_map,
+                score_threshold=score_threshold,
+                is_full_text=is_full_text,
+            )
+            res_dict[str(txt_file)] = results
+            # Store the anonymized text in the output path
+            output_file = output_directory / f"{txt_file.stem}.txt"
+            output_file.parent.mkdir(parents=True, exist_ok=True)
+            with open(output_file, "w") as f:
+                f.write(anonymized_text)
+            successes.append([txt_file.name, output_file.name])
+        except Exception as e:
+            errors[str(txt_file)] = str(e)
+            logger.error(f"Error processing {txt_file}: {e}")
+
+    successes = pd.DataFrame(
+        successes,
+        columns=["original_file", "anonymized_file"],
+    )
+
+    if generate_html:
+        # Generate the html report
+        html_res = _get_all_html(txt_content, res_dict, is_full_html)
+        # Store the html report in the context
+        arti_html = mlrun.artifacts.Artifact(body=html_res, format="html", key=html_key)
+        context.log_artifact(arti_html)
+    if generate_json:
+        # Generate the json report
+        json_res = _get_all_rpt(res_dict, is_full_report)
+        return str(output_directory), successes, errors, json_res
+    return str(output_directory), successes, errors
+
+        </code>
+    </pre>
+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/pii_recognizer/latest/src/function.yaml b/functions/master/pii_recognizer/latest/src/function.yaml
index 54b448d9..069fa1ff 100644
--- a/functions/master/pii_recognizer/latest/src/function.yaml
+++ b/functions/master/pii_recognizer/latest/src/function.yaml
@@ -2,13 +2,14 @@ kind: job
 metadata:
   name: pii-recognizer
   tag: ''
-  hash: b09b7b9a4ffd55088d665a0191055411e9198a2f
+  hash: 818930645d33704e9cada919769ee9d93cbb9434
   project: ''
   labels:
     author: pgw
   categories:
   - machine-learning
   - data-preparation
+  - NLP
 spec:
   command: ''
   args: []
diff --git a/functions/master/pii_recognizer/latest/src/item.yaml b/functions/master/pii_recognizer/latest/src/item.yaml
index 2f618feb..41ead33b 100644
--- a/functions/master/pii_recognizer/latest/src/item.yaml
+++ b/functions/master/pii_recognizer/latest/src/item.yaml
@@ -2,6 +2,7 @@ apiVersion: v1
 categories: 
   - machine-learning
   - data-preparation
+  - NLP
 description: This function is used to recognize PII in a directory of text files
 doc: ''
 example: pii_recognizer.ipynb
@@ -30,5 +31,5 @@ spec:
    - st-annotated-text
    - https://huggingface.co/beki/en_spacy_pii_distilbert/resolve/main/en_spacy_pii_distilbert-any-py3-none-any.whl
 url: ''
-version: 0.2.0
+version: 0.3.0
 test_valid: False
diff --git a/functions/master/pii_recognizer/latest/static/function.html b/functions/master/pii_recognizer/latest/static/function.html
index 4cb31e5a..1d21cf1b 100644
--- a/functions/master/pii_recognizer/latest/static/function.html
+++ b/functions/master/pii_recognizer/latest/static/function.html
@@ -19,13 +19,14 @@
 metadata:
   name: pii-recognizer
   tag: ''
-  hash: b09b7b9a4ffd55088d665a0191055411e9198a2f
+  hash: 818930645d33704e9cada919769ee9d93cbb9434
   project: ''
   labels:
     author: pgw
   categories:
   - machine-learning
   - data-preparation
+  - NLP
 spec:
   command: ''
   args: []
diff --git a/functions/master/pii_recognizer/latest/static/item.html b/functions/master/pii_recognizer/latest/static/item.html
index 0f8f593e..6cc24fb1 100644
--- a/functions/master/pii_recognizer/latest/static/item.html
+++ b/functions/master/pii_recognizer/latest/static/item.html
@@ -19,6 +19,7 @@
 categories: 
   - machine-learning
   - data-preparation
+  - NLP
 description: This function is used to recognize PII in a directory of text files
 doc: ''
 example: pii_recognizer.ipynb
@@ -47,7 +48,7 @@
    - st-annotated-text
    - https://huggingface.co/beki/en_spacy_pii_distilbert/resolve/main/en_spacy_pii_distilbert-any-py3-none-any.whl
 url: ''
-version: 0.2.0
+version: 0.3.0
 test_valid: False
 
         </code>
diff --git a/functions/master/pyannote_audio/1.2.0/src/assets/test_data.wav b/functions/master/pyannote_audio/1.2.0/src/assets/test_data.wav
new file mode 100644
index 00000000..a3a993c2
Binary files /dev/null and b/functions/master/pyannote_audio/1.2.0/src/assets/test_data.wav differ
diff --git a/functions/master/pyannote_audio/1.2.0/src/function.yaml b/functions/master/pyannote_audio/1.2.0/src/function.yaml
new file mode 100644
index 00000000..30870afa
--- /dev/null
+++ b/functions/master/pyannote_audio/1.2.0/src/function.yaml
@@ -0,0 +1,151 @@
+kind: job
+metadata:
+  name: pyannote-audio
+  tag: ''
+  hash: aed670a0534ebf30690dd2af7acad35595c7d5b1
+  project: ''
+  labels:
+    author: guyl
+  categories:
+  - deep-learning
+  - huggingface
+  - audio
+spec:
+  command: ''
+  args: []
+  image: ''
+  build:
+    functionSourceCode: # Copyright 2023 Iguazio
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import heapq
import logging
import operator
import os
import pathlib
from functools import reduce, wraps
from typing import Any, Dict, List, Tuple, Union

import pandas as pd
import pyannote.audio
import pyannote.core
import torch
import torchaudio
from tqdm import tqdm

# Get the global logger:
_LOGGER = logging.getLogger()


def _check_mlrun_and_open_mpi() -> Tuple["mlrun.MLClientCtx", "mpi4py.MPI.Intracomm"]:
    is_mpi = False
    try:
        import mlrun

        context = mlrun.get_or_create_ctx(name="mlrun")
        is_mpi = context.labels.get("kind", "job") == "mpijob"

        if is_mpi:
            try:
                from mpi4py import MPI

                return context, MPI.COMM_WORLD
            except ModuleNotFoundError as mpi4py_not_found:
                context.logger.error(
                    "To distribute the function using MLRun's 'mpijob' you need to have `mpi4py` package in your "
                    "interpreter. Please run `pip install mpi4py` and make sure you have open-mpi."
                )
                raise mpi4py_not_found
        else:
            return context, None
    except ModuleNotFoundError as module_not_found:
        if is_mpi:
            raise module_not_found
    return None, None


def open_mpi_handler(
    worker_inputs: List[str], root_worker_inputs: Dict[str, Any] = None
):
    global _LOGGER

    # Check for MLRun and OpenMPI availability:
    context, comm = _check_mlrun_and_open_mpi()

    # Check if MLRun is available, set the global logger to MLRun's:
    if context:
        _LOGGER = context.logger

    def decorator(handler):
        if comm is None or comm.Get_size() == 1:
            return handler

        @wraps(handler)
        def wrapper(**kwargs):
            # Get the open mpi environment properties:
            size = comm.Get_size()
            rank = comm.Get_rank()

            # Give the correct chunk of the workers inputs:
            for worker_input in worker_inputs:
                input_argument = kwargs[worker_input]
                if input_argument is None:
                    continue
                if isinstance(input_argument, str):
                    input_argument = _get_audio_files(
                        data_path=pathlib.Path(input_argument).absolute()
                    )
                if len(input_argument) < size:
                    raise ValueError(
                        f"Cannot split the input '{worker_input}' of length {len(input_argument)} to {size} workers. "
                        f"Please reduce the amount of workers for this input."
                    )
                even_chunk_size = len(input_argument) // size
                chunk_start = rank * even_chunk_size
                chunk_end = (
                    (rank + 1) * even_chunk_size
                    if rank + 1 < size
                    else len(input_argument)
                )
                context.logger.info(
                    f"Rank #{rank}: Processing input chunk of '{worker_input}' "
                    f"from index {chunk_start} to {chunk_end}."
                )
                if isinstance(input_argument, list):
                    input_argument = input_argument[chunk_start:chunk_end]
                elif isinstance(input_argument, pd.DataFrame):
                    input_argument = input_argument.iloc[chunk_start:chunk_end:, :]
                kwargs[worker_input] = input_argument

            # Set the root worker only arguments:
            if rank == 0 and root_worker_inputs:
                kwargs.update(root_worker_inputs)

            # Run the worker:
            output = handler(**kwargs)

            # Send the output to the root rank (rank #0):
            output = comm.gather(output, root=0)
            if rank == 0:
                # Join the outputs:
                context.logger.info("Collecting data from workers to root worker.")
                diarization_dictionary = reduce(
                    operator.ior, [dia for dia, _ in output], {}
                )
                errors_dictionary = reduce(operator.ior, [err for _, err in output], {})
                return diarization_dictionary, errors_dictionary
            return None

        return wrapper

    return decorator


@open_mpi_handler(worker_inputs=["data_path"], root_worker_inputs={"verbose": True})
def diarize(
    data_path: Union[str, List[str]],
    model_name: str = "pyannote/speaker-diarization-3.0",
    access_token: str = None,
    device: str = None,
    speakers_labels: List[str] = None,
    speaker_prefix: str = "speaker_",
    separate_by_channels: bool = False,
    minimum_speakers: int = None,
    maximum_speakers: int = None,
    verbose: bool = False,
) -> Tuple[Dict[str, List[Tuple[float, float, str]]], Dict[str, str]]:
    """
    Perform speech diarization on given audio files using pyannote-audio (https://github.com/pyannote/pyannote-audio).
    The end result is a dictionary with the file names as keys and their diarization as value. A diarization is a list
    of tuples: (start, end, speaker_label).

    To use the `pyannote.audio` models you must pass a Huggingface token and get access to the required models. The
    token can be passed in one of the following options:

    * Use the parameter `access_token`.
    * Set an environment variable named "HUGGING_FACE_HUB_TOKEN".
    * If using MLRun, you can pass it as a secret named "HUGGING_FACE_HUB_TOKEN".

    To get access to the models on Huggingface, visit their page. For example, to use the default diarization model set
    in this function ("pyannote/speaker-diarization-3.0"), you need access for these two models:

    * https://huggingface.co/pyannote/segmentation-3.0
    * https://huggingface.co/pyannote/speaker-diarization-3.0

    Note: To control the recognized speakers in the diarization output you can choose one of the following methods:

    * For a known speakers amount, you may set speaker labels via the `speakers_labels` parameter that will be used in
      the order of speaking in the audio (first person speaking be the first label in the list). In addition, you can do
      diarization per channel (setting the parameter `separate_by_channels` to True). Each label will be assigned to a
      specific channel by order (first label to channel 0, second label to channel 1 and so on). Notice, this will
      increase runtime.
    * For unknown speakers amount, you can set the `speaker_prefix` parameter to add a prefix for each speaker number.
      You can also help the diarization by setting the speakers range via the `speakers_amount_range` parameter.

    :param data_path:            A directory of the audio files, a single file or a list of files to transcribe.
    :param model_name:           One of the official diarization model names (referred as diarization pipelines) of
                                 `pyannote.audio` Huggingface page. Default: "pyannote/speaker-diarization-3.0".
    :param access_token:         An access token to pass for using the `pyannote.audio` models. If not provided, it
                                 will be looking for the environment variable "HUGGING_FACE_HUB_TOKEN". If MLRun is
                                 available, it will look for a secret "HUGGING_FACE_HUB_TOKEN".
    :param device:               Device to load the model. Can be one of {"cuda", "cpu"}. Default will prefer "cuda" if
                                 available.
    :param speakers_labels:      Labels to use for the recognized speakers. Default: numeric labels (0, 1, ...).
    :param separate_by_channels: If each speaker is speaking in a separate channel, you can diarize each channel and
                                 combine the result into a single diarization. Each label set in the `speakers_labels`
                                 parameter will be assigned to a specific channel by order.
    :param speaker_prefix:       A prefix to add for the speakers labels. This parameter is ignored if
                                 `speakers_labels` is not None. Default: "speaker".
    :param minimum_speakers:     Set the minimum expected amount of speakers to be in the audio files. This parameter is
                                 ignored if `speakers_labels` is not None.
    :param maximum_speakers:     Set the maximum expected amount of speakers to be in the audio files. This parameter is
                                 ignored if `speakers_labels` is not None.
    :param verbose:              Whether to present logs of a progress bar and errors. Default: True.

    :returns: A tuple of:

              * Speech diarization dictionary.
              * A dictionary of errored files that were not transcribed.
    """
    global _LOGGER

    # Get the input audio files to diarize:
    if isinstance(data_path, str):
        data_path = pathlib.Path(data_path).absolute()
        audio_files = _get_audio_files(data_path=data_path)
    else:  # Should be a list of files.
        audio_files = data_path

    # Get the Huggingface access token:
    access_token = _get_access_token(parameter=access_token)
    if access_token is None:
        raise ValueError(
            "A Huggingface access token must be provided to use `pyannote.audio` models. Access token can be passed "
            "via one of the following options:\n"
            "* Use the parameter `access_token`.\n"
            "* Set an environment variable named 'HUGGING_FACE_HUB_TOKEN'.\n"
            "* If using MLRun, you can pass it as a secret named 'HUGGING_FACE_HUB_TOKEN'."
        )

    # Load the diarization pipeline:
    pipeline = pyannote.audio.Pipeline.from_pretrained(
        checkpoint_path=model_name, use_auth_token=access_token
    )

    # Set the device:
    device = device or ("cuda" if torch.cuda.is_available() else "cpu")
    if device != "cpu":
        pipeline.to(torch.device(device))

    # Prepare the successes dataframe and errors dictionary to be returned:
    diarizations = {}
    errors = {}

    # Prepare the diarization keyword arguments:
    diarize_kwargs = {}
    if speakers_labels:
        diarize_kwargs["num_speakers"] = len(speakers_labels)
    else:
        if minimum_speakers:
            diarize_kwargs["min_speakers"] = minimum_speakers
        if maximum_speakers:
            diarize_kwargs["max_speakers"] = maximum_speakers

    # Go over the audio files and diarize:
    for audio_file in tqdm(
        audio_files, desc="Diarizing", unit="file", disable=not verbose
    ):
        try:
            # Load audio file:
            audio, sample_rate = torchaudio.load(uri=audio_file, channels_first=True)
            # Get the diarization (if provided):
            diarizations[audio_file.name] = _diarize(
                audio=audio,
                sample_rate=sample_rate,
                pipeline=pipeline,
                speakers_labels=speakers_labels,
                separate_by_channels=separate_by_channels,
                speaker_prefix=speaker_prefix,
                diarize_kwargs=diarize_kwargs,
            )
        except Exception as exception:
            # Note the exception as error in the dictionary:
            if verbose:
                _LOGGER.warning(f"Error in file: '{audio_file.name}'")
            errors[str(audio_file.name)] = str(exception)
            continue

    # Print the head of the produced dataframe and return:
    if verbose:
        _LOGGER.info(f"Done ({len(diarizations)}/{len(audio_files)})\n")
    return diarizations, errors


def _get_audio_files(
    data_path: pathlib.Path,
) -> List[pathlib.Path]:
    # Check if the path is of a directory or a file:
    if data_path.is_dir():
        # Get all files inside the directory:
        audio_files = list(data_path.glob("*.*"))
    elif data_path.is_file():
        audio_files = [data_path]
    else:
        raise ValueError(
            f"Unrecognized data path. The parameter `data_path` must be either a directory path or a file path. "
            f"Given: {str(data_path)} "
        )

    return audio_files


def _get_access_token(parameter: str) -> str:
    # If given as a parameter, return it:
    if parameter:
        return parameter

    # Otherwise, look at the environment variable:
    environment_variable = os.environ.get("HUGGING_FACE_HUB_TOKEN")
    if environment_variable:
        return environment_variable

    # Lastly, try look in the set secrets in MLRun:
    secret = None
    try:
        import mlrun

        context = mlrun.get_or_create_ctx(name="mlrun")
        secret = context.get_secret(key="HUGGING_FACE_HUB_TOKEN")
    except ModuleNotFoundError:
        pass

    return secret


def _diarize(
    audio: torch.Tensor,
    sample_rate: int,
    pipeline: pyannote.audio.Pipeline,
    speakers_labels: List[str],
    separate_by_channels: bool,
    speaker_prefix: str,
    diarize_kwargs: dict,
) -> List[Tuple[float, float, str]]:
    # If there is no need for separation by channels, we diarize and return:
    if not separate_by_channels:
        # Diarize:
        diarization: pyannote.core.Annotation = pipeline(
            file={"waveform": audio, "sample_rate": sample_rate}, **diarize_kwargs
        )
        # Verify speakers labels (should not fail here as we set `num_speakers=len(speakers_labels)` when inferring
        # through the pipeline):
        if speakers_labels:
            given_speakers = len(speakers_labels)
            found_speakers = len(set(diarization.labels()))
            if given_speakers < found_speakers:
                raise ValueError(
                    f"Not enough `speakers_labels` were given. Got {given_speakers} labels but the diarization "
                    f"recognized {found_speakers} speakers."
                )
        # Return as a diarization list - a sorted list of tuples of start time, end time and a label (the default label
        # returned is "SPEAKER_i" so we take only the index out of it):
        return [
            (
                segment.start,
                segment.end,
                speakers_labels[int(label.split("_")[1])]
                if speakers_labels
                else f"{speaker_prefix}{int(label.split('_')[1])}",
            )
            for segment, track, label in diarization.itertracks(yield_label=True)
        ]

    # Separate to channels and diarize (we expect only one speaker per channel):
    channel_diarizations = [
        _diarize(
            audio=audio[channel].unsqueeze(
                0
            ),  # Take channel and add a channel dimension to it.
            sample_rate=sample_rate,
            pipeline=pipeline,
            speakers_labels=[
                speakers_labels[channel]
            ],  # Take the channel's label only.
            separate_by_channels=False,
            speaker_prefix=speaker_prefix,
            diarize_kwargs={"num_speakers": 1},  # Set to one speaker.
        )
        for channel in range(audio.shape[0])
    ]

    # Merge the channel diarizations into a single sorted list:
    return list(heapq.merge(*channel_diarizations))

+    base_image: mlrun/mlrun-gpu
+    commands: []
+    code_origin: ''
+    origin_filename: ''
+    requirements:
+    - pyannote.audio
+    - pyannote.core
+    - torchaudio
+    - tqdm
+  entry_points:
+    open_mpi_handler:
+      name: open_mpi_handler
+      doc: ''
+      parameters:
+      - name: worker_inputs
+        type: List[str]
+      - name: root_worker_inputs
+        type: Dict[str, Any]
+        default: null
+      outputs: []
+      lineno: 61
+      has_varargs: false
+      has_kwargs: false
+    decorator:
+      name: decorator
+      doc: ''
+      parameters:
+      - name: handler
+      outputs: []
+      lineno: 73
+      has_varargs: false
+      has_kwargs: false
+    wrapper:
+      name: wrapper
+      doc: ''
+      parameters: []
+      outputs: []
+      lineno: 78
+      has_varargs: false
+      has_kwargs: true
+    diarize:
+      name: diarize
+      doc: "Perform speech diarization on given audio files using pyannote-audio (https://github.com/pyannote/pyannote-audio).\n\
+        The end result is a dictionary with the file names as keys and their diarization\
+        \ as value. A diarization is a list\nof tuples: (start, end, speaker_label).\n\
+        \nTo use the `pyannote.audio` models you must pass a Huggingface token and\
+        \ get access to the required models. The\ntoken can be passed in one of the\
+        \ following options:\n\n* Use the parameter `access_token`.\n* Set an environment\
+        \ variable named \"HUGGING_FACE_HUB_TOKEN\".\n* If using MLRun, you can pass\
+        \ it as a secret named \"HUGGING_FACE_HUB_TOKEN\".\n\nTo get access to the\
+        \ models on Huggingface, visit their page. For example, to use the default\
+        \ diarization model set\nin this function (\"pyannote/speaker-diarization-3.0\"\
+        ), you need access for these two models:\n\n* https://huggingface.co/pyannote/segmentation-3.0\n\
+        * https://huggingface.co/pyannote/speaker-diarization-3.0\n\nNote: To control\
+        \ the recognized speakers in the diarization output you can choose one of\
+        \ the following methods:\n\n* For a known speakers amount, you may set speaker\
+        \ labels via the `speakers_labels` parameter that will be used in\n  the order\
+        \ of speaking in the audio (first person speaking be the first label in the\
+        \ list). In addition, you can do\n  diarization per channel (setting the parameter\
+        \ `separate_by_channels` to True). Each label will be assigned to a\n  specific\
+        \ channel by order (first label to channel 0, second label to channel 1 and\
+        \ so on). Notice, this will\n  increase runtime.\n* For unknown speakers amount,\
+        \ you can set the `speaker_prefix` parameter to add a prefix for each speaker\
+        \ number.\n  You can also help the diarization by setting the speakers range\
+        \ via the `speakers_amount_range` parameter."
+      parameters:
+      - name: data_path
+        type: Union[str, List[str]]
+        doc: A directory of the audio files, a single file or a list of files to transcribe.
+      - name: model_name
+        type: str
+        doc: 'One of the official diarization model names (referred as diarization
+          pipelines) of `pyannote.audio` Huggingface page. Default: "pyannote/speaker-diarization-3.0".'
+        default: pyannote/speaker-diarization-3.0
+      - name: access_token
+        type: str
+        doc: An access token to pass for using the `pyannote.audio` models. If not
+          provided, it will be looking for the environment variable "HUGGING_FACE_HUB_TOKEN".
+          If MLRun is available, it will look for a secret "HUGGING_FACE_HUB_TOKEN".
+        default: null
+      - name: device
+        type: str
+        doc: Device to load the model. Can be one of {"cuda", "cpu"}. Default will
+          prefer "cuda" if available.
+        default: null
+      - name: speakers_labels
+        type: List[str]
+        doc: 'Labels to use for the recognized speakers. Default: numeric labels (0,
+          1, ...).'
+        default: null
+      - name: speaker_prefix
+        type: str
+        doc: 'A prefix to add for the speakers labels. This parameter is ignored if
+          `speakers_labels` is not None. Default: "speaker".'
+        default: speaker_
+      - name: separate_by_channels
+        type: bool
+        doc: If each speaker is speaking in a separate channel, you can diarize each
+          channel and combine the result into a single diarization. Each label set
+          in the `speakers_labels` parameter will be assigned to a specific channel
+          by order.
+        default: false
+      - name: minimum_speakers
+        type: int
+        doc: Set the minimum expected amount of speakers to be in the audio files.
+          This parameter is ignored if `speakers_labels` is not None.
+        default: null
+      - name: maximum_speakers
+        type: int
+        doc: Set the maximum expected amount of speakers to be in the audio files.
+          This parameter is ignored if `speakers_labels` is not None.
+        default: null
+      - name: verbose
+        type: bool
+        doc: 'Whether to present logs of a progress bar and errors. Default: True.'
+        default: false
+      outputs:
+      - doc: 'A tuple of:'
+        type: Tuple[Dict[str, List[Tuple[float, float, str]]], Dict[str, str]]
+      lineno: 139
+      has_varargs: false
+      has_kwargs: false
+  description: pyannote's speech diarization of audio files
+  default_handler: diarize
+  disable_auto_mount: false
+  clone_target_dir: ''
+  env: []
+  priority_class_name: ''
+  preemption_mode: prevent
+  affinity: null
+  tolerations: null
+  security_context: {}
+verbose: false
diff --git a/functions/master/pyannote_audio/1.2.0/src/item.yaml b/functions/master/pyannote_audio/1.2.0/src/item.yaml
new file mode 100644
index 00000000..b69add9e
--- /dev/null
+++ b/functions/master/pyannote_audio/1.2.0/src/item.yaml
@@ -0,0 +1,30 @@
+apiVersion: v1
+categories:
+- deep-learning
+- huggingface
+- audio
+description: pyannote's speech diarization of audio files
+doc: ''
+example: pyannote_audio.ipynb
+generationDate: 2023-12-03:14-30
+hidden: false
+icon: ''
+labels:
+  author: guyl
+maintainers: []
+marketplaceType: ''
+mlrunVersion: 1.5.2
+name: pyannote-audio
+platformVersion: 3.5.3
+spec:
+  filename: pyannote_audio.py
+  handler: diarize
+  image: mlrun/mlrun-gpu
+  kind: job
+  requirements:
+  - pyannote.audio
+  - pyannote.core
+  - torchaudio
+  - tqdm
+url: ''
+version: 1.2.0
diff --git a/functions/master/pyannote_audio/1.2.0/src/pyannote_audio.ipynb b/functions/master/pyannote_audio/1.2.0/src/pyannote_audio.ipynb
new file mode 100644
index 00000000..9901cc4f
--- /dev/null
+++ b/functions/master/pyannote_audio/1.2.0/src/pyannote_audio.ipynb
@@ -0,0 +1,375 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "4f17e477-db37-41b6-a76e-c69dbeea53db",
+   "metadata": {},
+   "source": [
+    "# Speech diarization example notebook"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "46e7131b-42fe-4f3c-a268-08d6d4ff9cdf",
+   "metadata": {},
+   "source": [
+    "In this notebook we will utilize a call diarization capability to get per-speaker speech durations from a call recording.<br>\n",
+    "This can be useful for quantifying participation rates in calls for things like customer service analysis.<br>\n",
+    "\n",
+    "We will demonstrate this by:<br>\n",
+    "\n",
+    "1. Loading in a sample call recording between multiple participants\n",
+    "2. Using a diarize() function to automatically detect speakers and estimate per-speaker talk time\n",
+    "3. Return a dictionary of described results, and a df of errors\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "53d25661-15eb-40c0-8ec8-4af9838c1d04",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import mlrun"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "68b84d16-d0aa-4e86-a716-5d92e38c9236",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# To use the `pyannote.audio` models you must pass a Huggingface token and get access to the required models. The\n",
+    "#    token can be passed in one of the following options:\n",
+    "#\n",
+    "#    * Use the parameter `access_token`.\n",
+    "#    * Set an environment variable named \"HUGGING_FACE_HUB_TOKEN\".\n",
+    "#    * If using MLRun, you can pass it as a secret named \"HUGGING_FACE_HUB_TOKEN\".\n",
+    "os.environ[\"HUGGING_FACE_HUB_TOKEN\"] = <\"add your token here\">\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "2a0b1f97-6fba-400f-aacf-fe1da28e35d0",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "> 2023-12-05 15:28:51,758 [info] Project loaded successfully: {'project_name': 'diarization-test'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Create an mlrun project\n",
+    "project = mlrun.get_or_create_project(\"diarization-test\")\n",
+    "\n",
+    "# Import the function from the yaml file, once it's in the the we can import from there \n",
+    "speech_diarization = project.set_function(func=\"hub://speech_diarization\", name=\"speech_diarization\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "50d9a797-a3f2-4824-b6e2-8245f6e30b17",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Set the desired run params and files\n",
+    "audio_files = os.path.join(\"test_data.wav\")\n",
+    "device = \"cpu\"\n",
+    "speakers_labels = [\"Agent\", \"Client\"]\n",
+    "separate_by_channels = True"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "110080e5-3f54-4117-a61b-0e09f1422b1b",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "> 2023-12-05 15:28:52,229 [info] Storing function: {'name': 'speech-diarization-diarize', 'uid': 'ec6cd014e4674966b30303ea14048acf', 'db': 'http://mlrun-api:8080'}\n"
+     ]
+    },
+    {
+     "data": {
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+       ".dictlist {\n",
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+       "  text-align: center;\n",
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+       "  border-radius: 3px; padding: 0px 3px 1px 3px; display: inline-block;}\n",
+       ".artifact {\n",
+       "  cursor: pointer;\n",
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+       "  display: flex;\n",
+       "  flex-flow: row nowrap;\n",
+       "  justify-content: flex-start;\n",
+       "  align-items: stretch;\n",
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+       ".master-wrapper .right-pane {\n",
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+       ".master-wrapper * {\n",
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+       "</style><script>\n",
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+       "        var textarea = document.createElement('textarea');\n",
+       "        textarea.textContent = fld.innerHTML;\n",
+       "        textarea.style.position = 'fixed';\n",
+       "        document.body.appendChild(textarea);\n",
+       "        textarea.select();\n",
+       "\n",
+       "        try {\n",
+       "            return document.execCommand('copy'); // Security exception may be thrown by some browsers.\n",
+       "        } catch (ex) {\n",
+       "\n",
+       "        } finally {\n",
+       "            document.body.removeChild(textarea);\n",
+       "        }\n",
+       "    }\n",
+       "}\n",
+       "function expandPanel(el) {\n",
+       "  const panelName = \"#\" + el.getAttribute('paneName');\n",
+       "  console.log(el.title);\n",
+       "\n",
+       "  document.querySelector(panelName + \"-title\").innerHTML = el.title\n",
+       "  iframe = document.querySelector(panelName + \"-body\");\n",
+       "\n",
+       "  const tblcss = `<style> body { font-family: Arial, Helvetica, sans-serif;}\n",
+       "    #csv { margin-bottom: 15px; }\n",
+       "    #csv table { border-collapse: collapse;}\n",
+       "    #csv table td { padding: 4px 8px; border: 1px solid silver;} </style>`;\n",
+       "\n",
+       "  function csvToHtmlTable(str) {\n",
+       "    return '<div id=\"csv\"><table><tr><td>' +  str.replace(/[\\n\\r]+$/g, '').replace(/[\\n\\r]+/g, '</td></tr><tr><td>')\n",
+       "      .replace(/,/g, '</td><td>') + '</td></tr></table></div>';\n",
+       "  }\n",
+       "\n",
+       "  function reqListener () {\n",
+       "    if (el.title.endsWith(\".csv\")) {\n",
+       "      iframe.setAttribute(\"srcdoc\", tblcss + csvToHtmlTable(this.responseText));\n",
+       "    } else {\n",
+       "      iframe.setAttribute(\"srcdoc\", this.responseText);\n",
+       "    }\n",
+       "    console.log(this.responseText);\n",
+       "  }\n",
+       "\n",
+       "  const oReq = new XMLHttpRequest();\n",
+       "  oReq.addEventListener(\"load\", reqListener);\n",
+       "  oReq.open(\"GET\", el.title);\n",
+       "  oReq.send();\n",
+       "\n",
+       "\n",
+       "  //iframe.src = el.title;\n",
+       "  const resultPane = document.querySelector(panelName + \"-pane\");\n",
+       "  if (resultPane.classList.contains(\"hidden\")) {\n",
+       "    resultPane.classList.remove(\"hidden\");\n",
+       "  }\n",
+       "}\n",
+       "function closePanel(el) {\n",
+       "  const panelName = \"#\" + el.getAttribute('paneName')\n",
+       "  const resultPane = document.querySelector(panelName + \"-pane\");\n",
+       "  if (!resultPane.classList.contains(\"hidden\")) {\n",
+       "    resultPane.classList.add(\"hidden\");\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "</script>\n",
+       "<div class=\"master-wrapper\">\n",
+       "  <div class=\"block master-tbl\"><div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>project</th>\n",
+       "      <th>uid</th>\n",
+       "      <th>iter</th>\n",
+       "      <th>start</th>\n",
+       "      <th>state</th>\n",
+       "      <th>name</th>\n",
+       "      <th>labels</th>\n",
+       "      <th>inputs</th>\n",
+       "      <th>parameters</th>\n",
+       "      <th>results</th>\n",
+       "      <th>artifacts</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <td>diarization-test</td>\n",
+       "      <td><div title=\"ec6cd014e4674966b30303ea14048acf\"><a href=\"https://dashboard.default-tenant.app.llm2.iguazio-cd0.com/mlprojects/diarization-test/jobs/monitor/ec6cd014e4674966b30303ea14048acf/overview\" target=\"_blank\" >...14048acf</a></div></td>\n",
+       "      <td>0</td>\n",
+       "      <td>Dec 05 15:28:52</td>\n",
+       "      <td>completed</td>\n",
+       "      <td>speech-diarization-diarize</td>\n",
+       "      <td><div class=\"dictlist\">v3io_user=zeevr</div><div class=\"dictlist\">kind=local</div><div class=\"dictlist\">owner=zeevr</div><div class=\"dictlist\">host=jupyter-zeev-gpu-5995df47dc-rtpvr</div></td>\n",
+       "      <td><div title=\"/User/call-center/hub_functions/speech_diarization/test_data.wav\">data_path</div></td>\n",
+       "      <td><div class=\"dictlist\">device=cpu</div><div class=\"dictlist\">speakers_labels=['Agent', 'Client']</div><div class=\"dictlist\">separate_by_channels=True</div></td>\n",
+       "      <td></td>\n",
+       "      <td><div class=\"artifact\" onclick=\"expandPanel(this)\" paneName=\"result6f031cd5\" title=\"files/v3io/projects/diarization-test/artifacts/speech-diarization-diarize/0/speech-diarization.json\">speech-diarization</div><div class=\"artifact\" onclick=\"expandPanel(this)\" paneName=\"result6f031cd5\" title=\"files/v3io/projects/diarization-test/artifacts/speech-diarization-diarize/0/diarize-errors.json\">diarize-errors</div></td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div></div>\n",
+       "  <div id=\"result6f031cd5-pane\" class=\"right-pane block hidden\">\n",
+       "    <div class=\"pane-header\">\n",
+       "      <span id=\"result6f031cd5-title\" class=\"pane-header-title\">Title</span>\n",
+       "      <span onclick=\"closePanel(this)\" paneName=\"result6f031cd5\" class=\"close clickable\">&times;</span>\n",
+       "    </div>\n",
+       "    <iframe class=\"fileview\" id=\"result6f031cd5-body\"></iframe>\n",
+       "  </div>\n",
+       "</div>\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<b> > to track results use the .show() or .logs() methods  or <a href=\"https://dashboard.default-tenant.app.llm2.iguazio-cd0.com/mlprojects/diarization-test/jobs/monitor/ec6cd014e4674966b30303ea14048acf/overview\" target=\"_blank\">click here</a> to open in UI</b>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "> 2023-12-05 15:28:53,350 [info] Run execution finished: {'status': 'completed', 'name': 'speech-diarization-diarize'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Run the imported function with desired file/s and params\n",
+    "diarize_run = speech_diarization.run(\n",
+    "    handler=\"diarize\",\n",
+    "    inputs={\"data_path\": audio_files},\n",
+    "    params={\n",
+    "        \"device\": device,\n",
+    "        \"speakers_labels\": speakers_labels,\n",
+    "        \"separate_by_channels\": separate_by_channels,\n",
+    "    },\n",
+    "    returns=[\"speech-diarization: file\", \"diarize-errors: file\"],\n",
+    "    local=True,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ede77975-8843-424f-b521-b9dd56ddad28",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "mlrun-base",
+   "language": "python",
+   "name": "conda-env-mlrun-base-py"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.16"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/functions/master/pyannote_audio/1.2.0/src/pyannote_audio.py b/functions/master/pyannote_audio/1.2.0/src/pyannote_audio.py
new file mode 100644
index 00000000..6271da6a
--- /dev/null
+++ b/functions/master/pyannote_audio/1.2.0/src/pyannote_audio.py
@@ -0,0 +1,376 @@
+# Copyright 2023 Iguazio
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import heapq
+import logging
+import operator
+import os
+import pathlib
+from functools import reduce, wraps
+from typing import Any, Dict, List, Tuple, Union
+
+import pandas as pd
+import pyannote.audio
+import pyannote.core
+import torch
+import torchaudio
+from tqdm import tqdm
+
+# Get the global logger:
+_LOGGER = logging.getLogger()
+
+
+def _check_mlrun_and_open_mpi() -> Tuple["mlrun.MLClientCtx", "mpi4py.MPI.Intracomm"]:
+    is_mpi = False
+    try:
+        import mlrun
+
+        context = mlrun.get_or_create_ctx(name="mlrun")
+        is_mpi = context.labels.get("kind", "job") == "mpijob"
+
+        if is_mpi:
+            try:
+                from mpi4py import MPI
+
+                return context, MPI.COMM_WORLD
+            except ModuleNotFoundError as mpi4py_not_found:
+                context.logger.error(
+                    "To distribute the function using MLRun's 'mpijob' you need to have `mpi4py` package in your "
+                    "interpreter. Please run `pip install mpi4py` and make sure you have open-mpi."
+                )
+                raise mpi4py_not_found
+        else:
+            return context, None
+    except ModuleNotFoundError as module_not_found:
+        if is_mpi:
+            raise module_not_found
+    return None, None
+
+
+def open_mpi_handler(
+    worker_inputs: List[str], root_worker_inputs: Dict[str, Any] = None
+):
+    global _LOGGER
+
+    # Check for MLRun and OpenMPI availability:
+    context, comm = _check_mlrun_and_open_mpi()
+
+    # Check if MLRun is available, set the global logger to MLRun's:
+    if context:
+        _LOGGER = context.logger
+
+    def decorator(handler):
+        if comm is None or comm.Get_size() == 1:
+            return handler
+
+        @wraps(handler)
+        def wrapper(**kwargs):
+            # Get the open mpi environment properties:
+            size = comm.Get_size()
+            rank = comm.Get_rank()
+
+            # Give the correct chunk of the workers inputs:
+            for worker_input in worker_inputs:
+                input_argument = kwargs[worker_input]
+                if input_argument is None:
+                    continue
+                if isinstance(input_argument, str):
+                    input_argument = _get_audio_files(
+                        data_path=pathlib.Path(input_argument).absolute()
+                    )
+                if len(input_argument) < size:
+                    raise ValueError(
+                        f"Cannot split the input '{worker_input}' of length {len(input_argument)} to {size} workers. "
+                        f"Please reduce the amount of workers for this input."
+                    )
+                even_chunk_size = len(input_argument) // size
+                chunk_start = rank * even_chunk_size
+                chunk_end = (
+                    (rank + 1) * even_chunk_size
+                    if rank + 1 < size
+                    else len(input_argument)
+                )
+                context.logger.info(
+                    f"Rank #{rank}: Processing input chunk of '{worker_input}' "
+                    f"from index {chunk_start} to {chunk_end}."
+                )
+                if isinstance(input_argument, list):
+                    input_argument = input_argument[chunk_start:chunk_end]
+                elif isinstance(input_argument, pd.DataFrame):
+                    input_argument = input_argument.iloc[chunk_start:chunk_end:, :]
+                kwargs[worker_input] = input_argument
+
+            # Set the root worker only arguments:
+            if rank == 0 and root_worker_inputs:
+                kwargs.update(root_worker_inputs)
+
+            # Run the worker:
+            output = handler(**kwargs)
+
+            # Send the output to the root rank (rank #0):
+            output = comm.gather(output, root=0)
+            if rank == 0:
+                # Join the outputs:
+                context.logger.info("Collecting data from workers to root worker.")
+                diarization_dictionary = reduce(
+                    operator.ior, [dia for dia, _ in output], {}
+                )
+                errors_dictionary = reduce(operator.ior, [err for _, err in output], {})
+                return diarization_dictionary, errors_dictionary
+            return None
+
+        return wrapper
+
+    return decorator
+
+
+@open_mpi_handler(worker_inputs=["data_path"], root_worker_inputs={"verbose": True})
+def diarize(
+    data_path: Union[str, List[str]],
+    model_name: str = "pyannote/speaker-diarization-3.0",
+    access_token: str = None,
+    device: str = None,
+    speakers_labels: List[str] = None,
+    speaker_prefix: str = "speaker_",
+    separate_by_channels: bool = False,
+    minimum_speakers: int = None,
+    maximum_speakers: int = None,
+    verbose: bool = False,
+) -> Tuple[Dict[str, List[Tuple[float, float, str]]], Dict[str, str]]:
+    """
+    Perform speech diarization on given audio files using pyannote-audio (https://github.com/pyannote/pyannote-audio).
+    The end result is a dictionary with the file names as keys and their diarization as value. A diarization is a list
+    of tuples: (start, end, speaker_label).
+
+    To use the `pyannote.audio` models you must pass a Huggingface token and get access to the required models. The
+    token can be passed in one of the following options:
+
+    * Use the parameter `access_token`.
+    * Set an environment variable named "HUGGING_FACE_HUB_TOKEN".
+    * If using MLRun, you can pass it as a secret named "HUGGING_FACE_HUB_TOKEN".
+
+    To get access to the models on Huggingface, visit their page. For example, to use the default diarization model set
+    in this function ("pyannote/speaker-diarization-3.0"), you need access for these two models:
+
+    * https://huggingface.co/pyannote/segmentation-3.0
+    * https://huggingface.co/pyannote/speaker-diarization-3.0
+
+    Note: To control the recognized speakers in the diarization output you can choose one of the following methods:
+
+    * For a known speakers amount, you may set speaker labels via the `speakers_labels` parameter that will be used in
+      the order of speaking in the audio (first person speaking be the first label in the list). In addition, you can do
+      diarization per channel (setting the parameter `separate_by_channels` to True). Each label will be assigned to a
+      specific channel by order (first label to channel 0, second label to channel 1 and so on). Notice, this will
+      increase runtime.
+    * For unknown speakers amount, you can set the `speaker_prefix` parameter to add a prefix for each speaker number.
+      You can also help the diarization by setting the speakers range via the `speakers_amount_range` parameter.
+
+    :param data_path:            A directory of the audio files, a single file or a list of files to transcribe.
+    :param model_name:           One of the official diarization model names (referred as diarization pipelines) of
+                                 `pyannote.audio` Huggingface page. Default: "pyannote/speaker-diarization-3.0".
+    :param access_token:         An access token to pass for using the `pyannote.audio` models. If not provided, it
+                                 will be looking for the environment variable "HUGGING_FACE_HUB_TOKEN". If MLRun is
+                                 available, it will look for a secret "HUGGING_FACE_HUB_TOKEN".
+    :param device:               Device to load the model. Can be one of {"cuda", "cpu"}. Default will prefer "cuda" if
+                                 available.
+    :param speakers_labels:      Labels to use for the recognized speakers. Default: numeric labels (0, 1, ...).
+    :param separate_by_channels: If each speaker is speaking in a separate channel, you can diarize each channel and
+                                 combine the result into a single diarization. Each label set in the `speakers_labels`
+                                 parameter will be assigned to a specific channel by order.
+    :param speaker_prefix:       A prefix to add for the speakers labels. This parameter is ignored if
+                                 `speakers_labels` is not None. Default: "speaker".
+    :param minimum_speakers:     Set the minimum expected amount of speakers to be in the audio files. This parameter is
+                                 ignored if `speakers_labels` is not None.
+    :param maximum_speakers:     Set the maximum expected amount of speakers to be in the audio files. This parameter is
+                                 ignored if `speakers_labels` is not None.
+    :param verbose:              Whether to present logs of a progress bar and errors. Default: True.
+
+    :returns: A tuple of:
+
+              * Speech diarization dictionary.
+              * A dictionary of errored files that were not transcribed.
+    """
+    global _LOGGER
+
+    # Get the input audio files to diarize:
+    if isinstance(data_path, str):
+        data_path = pathlib.Path(data_path).absolute()
+        audio_files = _get_audio_files(data_path=data_path)
+    else:  # Should be a list of files.
+        audio_files = data_path
+
+    # Get the Huggingface access token:
+    access_token = _get_access_token(parameter=access_token)
+    if access_token is None:
+        raise ValueError(
+            "A Huggingface access token must be provided to use `pyannote.audio` models. Access token can be passed "
+            "via one of the following options:\n"
+            "* Use the parameter `access_token`.\n"
+            "* Set an environment variable named 'HUGGING_FACE_HUB_TOKEN'.\n"
+            "* If using MLRun, you can pass it as a secret named 'HUGGING_FACE_HUB_TOKEN'."
+        )
+
+    # Load the diarization pipeline:
+    pipeline = pyannote.audio.Pipeline.from_pretrained(
+        checkpoint_path=model_name, use_auth_token=access_token
+    )
+
+    # Set the device:
+    device = device or ("cuda" if torch.cuda.is_available() else "cpu")
+    if device != "cpu":
+        pipeline.to(torch.device(device))
+
+    # Prepare the successes dataframe and errors dictionary to be returned:
+    diarizations = {}
+    errors = {}
+
+    # Prepare the diarization keyword arguments:
+    diarize_kwargs = {}
+    if speakers_labels:
+        diarize_kwargs["num_speakers"] = len(speakers_labels)
+    else:
+        if minimum_speakers:
+            diarize_kwargs["min_speakers"] = minimum_speakers
+        if maximum_speakers:
+            diarize_kwargs["max_speakers"] = maximum_speakers
+
+    # Go over the audio files and diarize:
+    for audio_file in tqdm(
+        audio_files, desc="Diarizing", unit="file", disable=not verbose
+    ):
+        try:
+            # Load audio file:
+            audio, sample_rate = torchaudio.load(uri=audio_file, channels_first=True)
+            # Get the diarization (if provided):
+            diarizations[audio_file.name] = _diarize(
+                audio=audio,
+                sample_rate=sample_rate,
+                pipeline=pipeline,
+                speakers_labels=speakers_labels,
+                separate_by_channels=separate_by_channels,
+                speaker_prefix=speaker_prefix,
+                diarize_kwargs=diarize_kwargs,
+            )
+        except Exception as exception:
+            # Note the exception as error in the dictionary:
+            if verbose:
+                _LOGGER.warning(f"Error in file: '{audio_file.name}'")
+            errors[str(audio_file.name)] = str(exception)
+            continue
+
+    # Print the head of the produced dataframe and return:
+    if verbose:
+        _LOGGER.info(f"Done ({len(diarizations)}/{len(audio_files)})\n")
+    return diarizations, errors
+
+
+def _get_audio_files(
+    data_path: pathlib.Path,
+) -> List[pathlib.Path]:
+    # Check if the path is of a directory or a file:
+    if data_path.is_dir():
+        # Get all files inside the directory:
+        audio_files = list(data_path.glob("*.*"))
+    elif data_path.is_file():
+        audio_files = [data_path]
+    else:
+        raise ValueError(
+            f"Unrecognized data path. The parameter `data_path` must be either a directory path or a file path. "
+            f"Given: {str(data_path)} "
+        )
+
+    return audio_files
+
+
+def _get_access_token(parameter: str) -> str:
+    # If given as a parameter, return it:
+    if parameter:
+        return parameter
+
+    # Otherwise, look at the environment variable:
+    environment_variable = os.environ.get("HUGGING_FACE_HUB_TOKEN")
+    if environment_variable:
+        return environment_variable
+
+    # Lastly, try look in the set secrets in MLRun:
+    secret = None
+    try:
+        import mlrun
+
+        context = mlrun.get_or_create_ctx(name="mlrun")
+        secret = context.get_secret(key="HUGGING_FACE_HUB_TOKEN")
+    except ModuleNotFoundError:
+        pass
+
+    return secret
+
+
+def _diarize(
+    audio: torch.Tensor,
+    sample_rate: int,
+    pipeline: pyannote.audio.Pipeline,
+    speakers_labels: List[str],
+    separate_by_channels: bool,
+    speaker_prefix: str,
+    diarize_kwargs: dict,
+) -> List[Tuple[float, float, str]]:
+    # If there is no need for separation by channels, we diarize and return:
+    if not separate_by_channels:
+        # Diarize:
+        diarization: pyannote.core.Annotation = pipeline(
+            file={"waveform": audio, "sample_rate": sample_rate}, **diarize_kwargs
+        )
+        # Verify speakers labels (should not fail here as we set `num_speakers=len(speakers_labels)` when inferring
+        # through the pipeline):
+        if speakers_labels:
+            given_speakers = len(speakers_labels)
+            found_speakers = len(set(diarization.labels()))
+            if given_speakers < found_speakers:
+                raise ValueError(
+                    f"Not enough `speakers_labels` were given. Got {given_speakers} labels but the diarization "
+                    f"recognized {found_speakers} speakers."
+                )
+        # Return as a diarization list - a sorted list of tuples of start time, end time and a label (the default label
+        # returned is "SPEAKER_i" so we take only the index out of it):
+        return [
+            (
+                segment.start,
+                segment.end,
+                speakers_labels[int(label.split("_")[1])]
+                if speakers_labels
+                else f"{speaker_prefix}{int(label.split('_')[1])}",
+            )
+            for segment, track, label in diarization.itertracks(yield_label=True)
+        ]
+
+    # Separate to channels and diarize (we expect only one speaker per channel):
+    channel_diarizations = [
+        _diarize(
+            audio=audio[channel].unsqueeze(
+                0
+            ),  # Take channel and add a channel dimension to it.
+            sample_rate=sample_rate,
+            pipeline=pipeline,
+            speakers_labels=[
+                speakers_labels[channel]
+            ],  # Take the channel's label only.
+            separate_by_channels=False,
+            speaker_prefix=speaker_prefix,
+            diarize_kwargs={"num_speakers": 1},  # Set to one speaker.
+        )
+        for channel in range(audio.shape[0])
+    ]
+
+    # Merge the channel diarizations into a single sorted list:
+    return list(heapq.merge(*channel_diarizations))
diff --git a/functions/master/pyannote_audio/1.2.0/src/test_pyannote_audio.py b/functions/master/pyannote_audio/1.2.0/src/test_pyannote_audio.py
new file mode 100644
index 00000000..93da5083
--- /dev/null
+++ b/functions/master/pyannote_audio/1.2.0/src/test_pyannote_audio.py
@@ -0,0 +1,25 @@
+import os
+
+import mlrun
+import pytest
+
+
+@pytest.mark.skipif("HUGGING_FACE_HUB_TOKEN" not in os.environ, reason="no token")
+def test_speech_diarization():
+    project = mlrun.new_project("diarization-test2")
+    speech_diarization = project.set_function(
+        func="./function.yaml", name="speech_diarization", image="mlrun/mlrun"
+    )
+
+    diarize_run = speech_diarization.run(
+        handler="diarize",
+        inputs={"data_path": os.path.join("assets", "test_data.wav")},
+        params={
+            "device": "cpu",
+            "speakers_labels": ["Agent", "Client"],
+            "separate_by_channels": True,
+        },
+        returns=["speech_diarization: file", "diarize_errors: file"],
+        local=True,
+    )
+    assert diarize_run.outputs["speech_diarization"]
diff --git a/functions/master/pyannote_audio/1.2.0/static/documentation.html b/functions/master/pyannote_audio/1.2.0/static/documentation.html
new file mode 100644
index 00000000..1fdd1cf3
--- /dev/null
+++ b/functions/master/pyannote_audio/1.2.0/static/documentation.html
@@ -0,0 +1,289 @@
+
+<!DOCTYPE html>
+
+<html lang="en">
+<head>
+<meta charset="utf-8"/>
+<meta content="width=device-width, initial-scale=1.0" name="viewport"/><meta content="Docutils 0.17.1: http://docutils.sourceforge.net/" name="generator"/>
+<title>pyannote_audio package</title>
+<!-- Loaded before other Sphinx assets -->
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+<span class="headerbtn__icon-container">
+<i class="fab fa-github"></i>
+</span>
+<span class="headerbtn__text-container">repository</span>
+</a>
+</li>
+<li>
+<a class="headerbtn" data-placement="left" data-toggle="tooltip" href="https://github.com/mlrun/marketplace/issues/new?title=Issue%20on%20page%20%2Fpyannote_audio.html&amp;body=Your%20issue%20content%20here." title="Open an issue">
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+<div class="col-md-3 bd-toc show noprint">
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+<i class="fas fa-list"></i> Contents
+    </div>
+<nav aria-label="Page" id="bd-toc-nav">
+<ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#submodules">
+   Submodules
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#module-pyannote_audio.pyannote_audio">
+   pyannote_audio.pyannote_audio module
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#module-pyannote_audio">
+   Module contents
+  </a>
+</li>
+</ul>
+</nav>
+</div>
+</div>
+<div class="article row">
+<div class="col pl-md-3 pl-lg-5 content-container">
+<!-- Table of contents that is only displayed when printing the page -->
+<div class="onlyprint" id="jb-print-docs-body">
+<h1>pyannote_audio package</h1>
+<!-- Table of contents -->
+<div id="print-main-content">
+<div id="jb-print-toc">
+<div>
+<h2> Contents </h2>
+</div>
+<nav aria-label="Page">
+<ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#submodules">
+   Submodules
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#module-pyannote_audio.pyannote_audio">
+   pyannote_audio.pyannote_audio module
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#module-pyannote_audio">
+   Module contents
+  </a>
+</li>
+</ul>
+</nav>
+</div>
+</div>
+</div>
+<main id="main-content" role="main">
+<div>
+<section id="pyannote-audio-package">
+<h1>pyannote_audio package<a class="headerlink" href="#pyannote-audio-package" title="Permalink to this headline">#</a></h1>
+<section id="submodules">
+<h2>Submodules<a class="headerlink" href="#submodules" title="Permalink to this headline">#</a></h2>
+</section>
+<section id="module-pyannote_audio.pyannote_audio">
+<span id="pyannote-audio-pyannote-audio-module"></span><h2>pyannote_audio.pyannote_audio module<a class="headerlink" href="#module-pyannote_audio.pyannote_audio" title="Permalink to this headline">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="pyannote_audio.pyannote_audio.diarize">
+<span class="sig-prename descclassname"><span class="pre">pyannote_audio.pyannote_audio.</span></span><span class="sig-name descname"><span class="pre">diarize</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'pyannote/speaker-diarization-3.0'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">access_token</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">speakers_labels</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">speaker_prefix</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'speaker_'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">separate_by_channels</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">minimum_speakers</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">maximum_speakers</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> → <span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span> </span><span class="pre">float</span><span class="p"><span class="pre">,</span> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span> </span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><a class="reference internal" href="pyannote_audio.html#diarize"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyannote_audio.pyannote_audio.diarize" title="Permalink to this definition">#</a></dt>
+<dd><p>Perform speech diarization on given audio files using pyannote-audio (<a class="reference external" href="https://github.com/pyannote/pyannote-audio">https://github.com/pyannote/pyannote-audio</a>).
+The end result is a dictionary with the file names as keys and their diarization as value. A diarization is a list
+of tuples: (start, end, speaker_label).</p>
+<p>To use the <cite>pyannote.audio</cite> models you must pass a Huggingface token and get access to the required models. The
+token can be passed in one of the following options:</p>
+<ul class="simple">
+<li><p>Use the parameter <cite>access_token</cite>.</p></li>
+<li><p>Set an environment variable named “HUGGING_FACE_HUB_TOKEN”.</p></li>
+<li><p>If using MLRun, you can pass it as a secret named “HUGGING_FACE_HUB_TOKEN”.</p></li>
+</ul>
+<p>To get access to the models on Huggingface, visit their page. For example, to use the default diarization model set
+in this function (“pyannote/speaker-diarization-3.0”), you need access for these two models:</p>
+<ul class="simple">
+<li><p><a class="reference external" href="https://huggingface.co/pyannote/segmentation-3.0">https://huggingface.co/pyannote/segmentation-3.0</a></p></li>
+<li><p><a class="reference external" href="https://huggingface.co/pyannote/speaker-diarization-3.0">https://huggingface.co/pyannote/speaker-diarization-3.0</a></p></li>
+</ul>
+<p>Note: To control the recognized speakers in the diarization output you can choose one of the following methods:</p>
+<ul class="simple">
+<li><p>For a known speakers amount, you may set speaker labels via the <cite>speakers_labels</cite> parameter that will be used in
+the order of speaking in the audio (first person speaking be the first label in the list). In addition, you can do
+diarization per channel (setting the parameter <cite>separate_by_channels</cite> to True). Each label will be assigned to a
+specific channel by order (first label to channel 0, second label to channel 1 and so on). Notice, this will
+increase runtime.</p></li>
+<li><p>For unknown speakers amount, you can set the <cite>speaker_prefix</cite> parameter to add a prefix for each speaker number.
+You can also help the diarization by setting the speakers range via the <cite>speakers_amount_range</cite> parameter.</p></li>
+</ul>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data_path</strong> – A directory of the audio files, a single file or a list of files to transcribe.</p></li>
+<li><p><strong>model_name</strong> – One of the official diarization model names (referred as diarization pipelines) of
+<cite>pyannote.audio</cite> Huggingface page. Default: “pyannote/speaker-diarization-3.0”.</p></li>
+<li><p><strong>access_token</strong> – An access token to pass for using the <cite>pyannote.audio</cite> models. If not provided, it
+will be looking for the environment variable “HUGGING_FACE_HUB_TOKEN”. If MLRun is
+available, it will look for a secret “HUGGING_FACE_HUB_TOKEN”.</p></li>
+<li><p><strong>device</strong> – Device to load the model. Can be one of {“cuda”, “cpu”}. Default will prefer “cuda” if
+available.</p></li>
+<li><p><strong>speakers_labels</strong> – Labels to use for the recognized speakers. Default: numeric labels (0, 1, …).</p></li>
+<li><p><strong>separate_by_channels</strong> – If each speaker is speaking in a separate channel, you can diarize each channel and
+combine the result into a single diarization. Each label set in the <cite>speakers_labels</cite>
+parameter will be assigned to a specific channel by order.</p></li>
+<li><p><strong>speaker_prefix</strong> – A prefix to add for the speakers labels. This parameter is ignored if
+<cite>speakers_labels</cite> is not None. Default: “speaker”.</p></li>
+<li><p><strong>minimum_speakers</strong> – Set the minimum expected amount of speakers to be in the audio files. This parameter is
+ignored if <cite>speakers_labels</cite> is not None.</p></li>
+<li><p><strong>maximum_speakers</strong> – Set the maximum expected amount of speakers to be in the audio files. This parameter is
+ignored if <cite>speakers_labels</cite> is not None.</p></li>
+<li><p><strong>verbose</strong> – Whether to present logs of a progress bar and errors. Default: True.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p><p>A tuple of:</p>
+<ul class="simple">
+<li><p>Speech diarization dictionary.</p></li>
+<li><p>A dictionary of errored files that were not transcribed.</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="pyannote_audio.pyannote_audio.open_mpi_handler">
+<span class="sig-prename descclassname"><span class="pre">pyannote_audio.pyannote_audio.</span></span><span class="sig-name descname"><span class="pre">open_mpi_handler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">worker_inputs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">root_worker_inputs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="pyannote_audio.html#open_mpi_handler"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyannote_audio.pyannote_audio.open_mpi_handler" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+</section>
+<section id="module-pyannote_audio">
+<span id="module-contents"></span><h2>Module contents<a class="headerlink" href="#module-pyannote_audio" title="Permalink to this headline">#</a></h2>
+</section>
+</section>
+</div>
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+++ b/functions/master/pyannote_audio/1.2.0/static/example.html
@@ -0,0 +1,449 @@
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+<h1>Speech diarization example notebook</h1>
+<!-- Table of contents -->
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+<div id="jb-print-toc">
+</div>
+</div>
+</div>
+<main id="main-content" role="main">
+<div>
+<section id="speech-diarization-example-notebook">
+<h1>Speech diarization example notebook<a class="headerlink" href="#speech-diarization-example-notebook" title="Permalink to this headline">#</a></h1>
+<p>In this notebook we will utilize a call diarization capability to get per-speaker speech durations from a call recording.<br/>
+This can be useful for quantifying participation rates in calls for things like customer service analysis.<br/></p>
+<p>We will demonstrate this by:<br/></p>
+<ol class="arabic simple">
+<li><p>Loading in a sample call recording between multiple participants</p></li>
+<li><p>Using a diarize() function to automatically detect speakers and estimate per-speaker talk time</p></li>
+<li><p>Return a dictionary of described results, and a df of errors</p></li>
+</ol>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">import</span> <span class="nn">mlrun</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># To use the `pyannote.audio` models you must pass a Huggingface token and get access to the required models. The</span>
+<span class="c1">#    token can be passed in one of the following options:</span>
+<span class="c1">#</span>
+<span class="c1">#    * Use the parameter `access_token`.</span>
+<span class="c1">#    * Set an environment variable named "HUGGING_FACE_HUB_TOKEN".</span>
+<span class="c1">#    * If using MLRun, you can pass it as a secret named "HUGGING_FACE_HUB_TOKEN".</span>
+<span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">[</span><span class="s2">"HUGGING_FACE_HUB_TOKEN"</span><span class="p">]</span> <span class="o">=</span> <span class="o">&lt;</span><span class="s2">"add your token here"</span><span class="o">&gt;</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Create an mlrun project</span>
+<span class="n">project</span> <span class="o">=</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">get_or_create_project</span><span class="p">(</span><span class="s2">"diarization-test"</span><span class="p">)</span>
+
+<span class="c1"># Import the function from the yaml file, once it's in the the we can import from there </span>
+<span class="n">speech_diarization</span> <span class="o">=</span> <span class="n">project</span><span class="o">.</span><span class="n">set_function</span><span class="p">(</span><span class="n">func</span><span class="o">=</span><span class="s2">"hub://speech_diarization"</span><span class="p">,</span> <span class="n">name</span><span class="o">=</span><span class="s2">"speech_diarization"</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&gt; 2023-12-05 15:28:51,758 [info] Project loaded successfully: {'project_name': 'diarization-test'}
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Set the desired run params and files</span>
+<span class="n">audio_files</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="s2">"test_data.wav"</span><span class="p">)</span>
+<span class="n">device</span> <span class="o">=</span> <span class="s2">"cpu"</span>
+<span class="n">speakers_labels</span> <span class="o">=</span> <span class="p">[</span><span class="s2">"Agent"</span><span class="p">,</span> <span class="s2">"Client"</span><span class="p">]</span>
+<span class="n">separate_by_channels</span> <span class="o">=</span> <span class="kc">True</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Run the imported function with desired file/s and params</span>
+<span class="n">diarize_run</span> <span class="o">=</span> <span class="n">speech_diarization</span><span class="o">.</span><span class="n">run</span><span class="p">(</span>
+    <span class="n">handler</span><span class="o">=</span><span class="s2">"diarize"</span><span class="p">,</span>
+    <span class="n">inputs</span><span class="o">=</span><span class="p">{</span><span class="s2">"data_path"</span><span class="p">:</span> <span class="n">audio_files</span><span class="p">},</span>
+    <span class="n">params</span><span class="o">=</span><span class="p">{</span>
+        <span class="s2">"device"</span><span class="p">:</span> <span class="n">device</span><span class="p">,</span>
+        <span class="s2">"speakers_labels"</span><span class="p">:</span> <span class="n">speakers_labels</span><span class="p">,</span>
+        <span class="s2">"separate_by_channels"</span><span class="p">:</span> <span class="n">separate_by_channels</span><span class="p">,</span>
+    <span class="p">},</span>
+    <span class="n">returns</span><span class="o">=</span><span class="p">[</span><span class="s2">"speech-diarization: file"</span><span class="p">,</span> <span class="s2">"diarize-errors: file"</span><span class="p">],</span>
+    <span class="n">local</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+<span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&gt; 2023-12-05 15:28:52,229 [info] Storing function: {'name': 'speech-diarization-diarize', 'uid': 'ec6cd014e4674966b30303ea14048acf', 'db': 'http://mlrun-api:8080'}
+</pre></div>
+</div>
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+
+  function reqListener () {
+    if (el.title.endsWith(".csv")) {
+      iframe.setAttribute("srcdoc", tblcss + csvToHtmlTable(this.responseText));
+    } else {
+      iframe.setAttribute("srcdoc", this.responseText);
+    }
+    console.log(this.responseText);
+  }
+
+  const oReq = new XMLHttpRequest();
+  oReq.addEventListener("load", reqListener);
+  oReq.open("GET", el.title);
+  oReq.send();
+
+
+  //iframe.src = el.title;
+  const resultPane = document.querySelector(panelName + "-pane");
+  if (resultPane.classList.contains("hidden")) {
+    resultPane.classList.remove("hidden");
+  }
+}
+function closePanel(el) {
+  const panelName = "#" + el.getAttribute('paneName')
+  const resultPane = document.querySelector(panelName + "-pane");
+  if (!resultPane.classList.contains("hidden")) {
+    resultPane.classList.add("hidden");
+  }
+}
+
+</script>
+<div class="master-wrapper">
+<div class="block master-tbl"><div>
+<style scoped="">
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+<thead>
+<tr style="text-align: right;">
+<th>project</th>
+<th>uid</th>
+<th>iter</th>
+<th>start</th>
+<th>state</th>
+<th>name</th>
+<th>labels</th>
+<th>inputs</th>
+<th>parameters</th>
+<th>results</th>
+<th>artifacts</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td>diarization-test</td>
+<td><div title="ec6cd014e4674966b30303ea14048acf"><a href="https://dashboard.default-tenant.app.llm2.iguazio-cd0.com/mlprojects/diarization-test/jobs/monitor/ec6cd014e4674966b30303ea14048acf/overview" target="_blank">...14048acf</a></div></td>
+<td>0</td>
+<td>Dec 05 15:28:52</td>
+<td>completed</td>
+<td>speech-diarization-diarize</td>
+<td><div class="dictlist">v3io_user=zeevr</div><div class="dictlist">kind=local</div><div class="dictlist">owner=zeevr</div><div class="dictlist">host=jupyter-zeev-gpu-5995df47dc-rtpvr</div></td>
+<td><div title="/User/call-center/hub_functions/speech_diarization/test_data.wav">data_path</div></td>
+<td><div class="dictlist">device=cpu</div><div class="dictlist">speakers_labels=['Agent', 'Client']</div><div class="dictlist">separate_by_channels=True</div></td>
+<td></td>
+<td><div class="artifact" onclick="expandPanel(this)" panename="result6f031cd5" title="files/v3io/projects/diarization-test/artifacts/speech-diarization-diarize/0/speech-diarization.json">speech-diarization</div><div class="artifact" onclick="expandPanel(this)" panename="result6f031cd5" title="files/v3io/projects/diarization-test/artifacts/speech-diarization-diarize/0/diarize-errors.json">diarize-errors</div></td>
+</tr>
+</tbody>
+</table>
+</div></div>
+<div class="right-pane block hidden" id="result6f031cd5-pane">
+<div class="pane-header">
+<span class="pane-header-title" id="result6f031cd5-title">Title</span>
+<span class="close clickable" onclick="closePanel(this)" panename="result6f031cd5">×</span>
+</div>
+<iframe class="fileview" id="result6f031cd5-body"></iframe>
+</div>
+</div>
+</div><div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+<div class="output text_html"><b> &gt; to track results use the .show() or .logs() methods  or <a href="https://dashboard.default-tenant.app.llm2.iguazio-cd0.com/mlprojects/diarization-test/jobs/monitor/ec6cd014e4674966b30303ea14048acf/overview" target="_blank">click here</a> to open in UI</b></div><div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&gt; 2023-12-05 15:28:53,350 [info] Run execution finished: {'status': 'completed', 'name': 'speech-diarization-diarize'}
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+</div>
+</main>
+<footer class="footer-article noprint">
+<!-- Previous / next buttons -->
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+  
+      © Copyright .<br>
+</br></p>
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+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/pyannote_audio/1.2.0/static/function.html b/functions/master/pyannote_audio/1.2.0/static/function.html
new file mode 100644
index 00000000..6b99972d
--- /dev/null
+++ b/functions/master/pyannote_audio/1.2.0/static/function.html
@@ -0,0 +1,173 @@
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta content="IE=edge" http-equiv="X-UA-Compatible">
+    <meta content="width=device-width, initial-scale=1.0" name="viewport">
+    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/styles/atom-one-dark.min.css">
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/highlight.min.js"></script>
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/languages/yaml.min.js"></script>
+    <title>Source</title>
+    <script>hljs.highlightAll();</script>
+</head>
+
+<body style="background-color:darkgray; margin: 0 0 0 0;">
+    <pre style="margin: 0 1em;">
+        <code class="yaml">
+kind: job
+metadata:
+  name: pyannote-audio
+  tag: ''
+  hash: aed670a0534ebf30690dd2af7acad35595c7d5b1
+  project: ''
+  labels:
+    author: guyl
+  categories:
+  - deep-learning
+  - huggingface
+  - audio
+spec:
+  command: ''
+  args: []
+  image: ''
+  build:
+    functionSourceCode: # Copyright 2023 Iguazio
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import heapq
import logging
import operator
import os
import pathlib
from functools import reduce, wraps
from typing import Any, Dict, List, Tuple, Union

import pandas as pd
import pyannote.audio
import pyannote.core
import torch
import torchaudio
from tqdm import tqdm

# Get the global logger:
_LOGGER = logging.getLogger()


def _check_mlrun_and_open_mpi() -> Tuple["mlrun.MLClientCtx", "mpi4py.MPI.Intracomm"]:
    is_mpi = False
    try:
        import mlrun

        context = mlrun.get_or_create_ctx(name="mlrun")
        is_mpi = context.labels.get("kind", "job") == "mpijob"

        if is_mpi:
            try:
                from mpi4py import MPI

                return context, MPI.COMM_WORLD
            except ModuleNotFoundError as mpi4py_not_found:
                context.logger.error(
                    "To distribute the function using MLRun's 'mpijob' you need to have `mpi4py` package in your "
                    "interpreter. Please run `pip install mpi4py` and make sure you have open-mpi."
                )
                raise mpi4py_not_found
        else:
            return context, None
    except ModuleNotFoundError as module_not_found:
        if is_mpi:
            raise module_not_found
    return None, None


def open_mpi_handler(
    worker_inputs: List[str], root_worker_inputs: Dict[str, Any] = None
):
    global _LOGGER

    # Check for MLRun and OpenMPI availability:
    context, comm = _check_mlrun_and_open_mpi()

    # Check if MLRun is available, set the global logger to MLRun's:
    if context:
        _LOGGER = context.logger

    def decorator(handler):
        if comm is None or comm.Get_size() == 1:
            return handler

        @wraps(handler)
        def wrapper(**kwargs):
            # Get the open mpi environment properties:
            size = comm.Get_size()
            rank = comm.Get_rank()

            # Give the correct chunk of the workers inputs:
            for worker_input in worker_inputs:
                input_argument = kwargs[worker_input]
                if input_argument is None:
                    continue
                if isinstance(input_argument, str):
                    input_argument = _get_audio_files(
                        data_path=pathlib.Path(input_argument).absolute()
                    )
                if len(input_argument) < size:
                    raise ValueError(
                        f"Cannot split the input '{worker_input}' of length {len(input_argument)} to {size} workers. "
                        f"Please reduce the amount of workers for this input."
                    )
                even_chunk_size = len(input_argument) // size
                chunk_start = rank * even_chunk_size
                chunk_end = (
                    (rank + 1) * even_chunk_size
                    if rank + 1 < size
                    else len(input_argument)
                )
                context.logger.info(
                    f"Rank #{rank}: Processing input chunk of '{worker_input}' "
                    f"from index {chunk_start} to {chunk_end}."
                )
                if isinstance(input_argument, list):
                    input_argument = input_argument[chunk_start:chunk_end]
                elif isinstance(input_argument, pd.DataFrame):
                    input_argument = input_argument.iloc[chunk_start:chunk_end:, :]
                kwargs[worker_input] = input_argument

            # Set the root worker only arguments:
            if rank == 0 and root_worker_inputs:
                kwargs.update(root_worker_inputs)

            # Run the worker:
            output = handler(**kwargs)

            # Send the output to the root rank (rank #0):
            output = comm.gather(output, root=0)
            if rank == 0:
                # Join the outputs:
                context.logger.info("Collecting data from workers to root worker.")
                diarization_dictionary = reduce(
                    operator.ior, [dia for dia, _ in output], {}
                )
                errors_dictionary = reduce(operator.ior, [err for _, err in output], {})
                return diarization_dictionary, errors_dictionary
            return None

        return wrapper

    return decorator


@open_mpi_handler(worker_inputs=["data_path"], root_worker_inputs={"verbose": True})
def diarize(
    data_path: Union[str, List[str]],
    model_name: str = "pyannote/speaker-diarization-3.0",
    access_token: str = None,
    device: str = None,
    speakers_labels: List[str] = None,
    speaker_prefix: str = "speaker_",
    separate_by_channels: bool = False,
    minimum_speakers: int = None,
    maximum_speakers: int = None,
    verbose: bool = False,
) -> Tuple[Dict[str, List[Tuple[float, float, str]]], Dict[str, str]]:
    """
    Perform speech diarization on given audio files using pyannote-audio (https://github.com/pyannote/pyannote-audio).
    The end result is a dictionary with the file names as keys and their diarization as value. A diarization is a list
    of tuples: (start, end, speaker_label).

    To use the `pyannote.audio` models you must pass a Huggingface token and get access to the required models. The
    token can be passed in one of the following options:

    * Use the parameter `access_token`.
    * Set an environment variable named "HUGGING_FACE_HUB_TOKEN".
    * If using MLRun, you can pass it as a secret named "HUGGING_FACE_HUB_TOKEN".

    To get access to the models on Huggingface, visit their page. For example, to use the default diarization model set
    in this function ("pyannote/speaker-diarization-3.0"), you need access for these two models:

    * https://huggingface.co/pyannote/segmentation-3.0
    * https://huggingface.co/pyannote/speaker-diarization-3.0

    Note: To control the recognized speakers in the diarization output you can choose one of the following methods:

    * For a known speakers amount, you may set speaker labels via the `speakers_labels` parameter that will be used in
      the order of speaking in the audio (first person speaking be the first label in the list). In addition, you can do
      diarization per channel (setting the parameter `separate_by_channels` to True). Each label will be assigned to a
      specific channel by order (first label to channel 0, second label to channel 1 and so on). Notice, this will
      increase runtime.
    * For unknown speakers amount, you can set the `speaker_prefix` parameter to add a prefix for each speaker number.
      You can also help the diarization by setting the speakers range via the `speakers_amount_range` parameter.

    :param data_path:            A directory of the audio files, a single file or a list of files to transcribe.
    :param model_name:           One of the official diarization model names (referred as diarization pipelines) of
                                 `pyannote.audio` Huggingface page. Default: "pyannote/speaker-diarization-3.0".
    :param access_token:         An access token to pass for using the `pyannote.audio` models. If not provided, it
                                 will be looking for the environment variable "HUGGING_FACE_HUB_TOKEN". If MLRun is
                                 available, it will look for a secret "HUGGING_FACE_HUB_TOKEN".
    :param device:               Device to load the model. Can be one of {"cuda", "cpu"}. Default will prefer "cuda" if
                                 available.
    :param speakers_labels:      Labels to use for the recognized speakers. Default: numeric labels (0, 1, ...).
    :param separate_by_channels: If each speaker is speaking in a separate channel, you can diarize each channel and
                                 combine the result into a single diarization. Each label set in the `speakers_labels`
                                 parameter will be assigned to a specific channel by order.
    :param speaker_prefix:       A prefix to add for the speakers labels. This parameter is ignored if
                                 `speakers_labels` is not None. Default: "speaker".
    :param minimum_speakers:     Set the minimum expected amount of speakers to be in the audio files. This parameter is
                                 ignored if `speakers_labels` is not None.
    :param maximum_speakers:     Set the maximum expected amount of speakers to be in the audio files. This parameter is
                                 ignored if `speakers_labels` is not None.
    :param verbose:              Whether to present logs of a progress bar and errors. Default: True.

    :returns: A tuple of:

              * Speech diarization dictionary.
              * A dictionary of errored files that were not transcribed.
    """
    global _LOGGER

    # Get the input audio files to diarize:
    if isinstance(data_path, str):
        data_path = pathlib.Path(data_path).absolute()
        audio_files = _get_audio_files(data_path=data_path)
    else:  # Should be a list of files.
        audio_files = data_path

    # Get the Huggingface access token:
    access_token = _get_access_token(parameter=access_token)
    if access_token is None:
        raise ValueError(
            "A Huggingface access token must be provided to use `pyannote.audio` models. Access token can be passed "
            "via one of the following options:\n"
            "* Use the parameter `access_token`.\n"
            "* Set an environment variable named 'HUGGING_FACE_HUB_TOKEN'.\n"
            "* If using MLRun, you can pass it as a secret named 'HUGGING_FACE_HUB_TOKEN'."
        )

    # Load the diarization pipeline:
    pipeline = pyannote.audio.Pipeline.from_pretrained(
        checkpoint_path=model_name, use_auth_token=access_token
    )

    # Set the device:
    device = device or ("cuda" if torch.cuda.is_available() else "cpu")
    if device != "cpu":
        pipeline.to(torch.device(device))

    # Prepare the successes dataframe and errors dictionary to be returned:
    diarizations = {}
    errors = {}

    # Prepare the diarization keyword arguments:
    diarize_kwargs = {}
    if speakers_labels:
        diarize_kwargs["num_speakers"] = len(speakers_labels)
    else:
        if minimum_speakers:
            diarize_kwargs["min_speakers"] = minimum_speakers
        if maximum_speakers:
            diarize_kwargs["max_speakers"] = maximum_speakers

    # Go over the audio files and diarize:
    for audio_file in tqdm(
        audio_files, desc="Diarizing", unit="file", disable=not verbose
    ):
        try:
            # Load audio file:
            audio, sample_rate = torchaudio.load(uri=audio_file, channels_first=True)
            # Get the diarization (if provided):
            diarizations[audio_file.name] = _diarize(
                audio=audio,
                sample_rate=sample_rate,
                pipeline=pipeline,
                speakers_labels=speakers_labels,
                separate_by_channels=separate_by_channels,
                speaker_prefix=speaker_prefix,
                diarize_kwargs=diarize_kwargs,
            )
        except Exception as exception:
            # Note the exception as error in the dictionary:
            if verbose:
                _LOGGER.warning(f"Error in file: '{audio_file.name}'")
            errors[str(audio_file.name)] = str(exception)
            continue

    # Print the head of the produced dataframe and return:
    if verbose:
        _LOGGER.info(f"Done ({len(diarizations)}/{len(audio_files)})\n")
    return diarizations, errors


def _get_audio_files(
    data_path: pathlib.Path,
) -> List[pathlib.Path]:
    # Check if the path is of a directory or a file:
    if data_path.is_dir():
        # Get all files inside the directory:
        audio_files = list(data_path.glob("*.*"))
    elif data_path.is_file():
        audio_files = [data_path]
    else:
        raise ValueError(
            f"Unrecognized data path. The parameter `data_path` must be either a directory path or a file path. "
            f"Given: {str(data_path)} "
        )

    return audio_files


def _get_access_token(parameter: str) -> str:
    # If given as a parameter, return it:
    if parameter:
        return parameter

    # Otherwise, look at the environment variable:
    environment_variable = os.environ.get("HUGGING_FACE_HUB_TOKEN")
    if environment_variable:
        return environment_variable

    # Lastly, try look in the set secrets in MLRun:
    secret = None
    try:
        import mlrun

        context = mlrun.get_or_create_ctx(name="mlrun")
        secret = context.get_secret(key="HUGGING_FACE_HUB_TOKEN")
    except ModuleNotFoundError:
        pass

    return secret


def _diarize(
    audio: torch.Tensor,
    sample_rate: int,
    pipeline: pyannote.audio.Pipeline,
    speakers_labels: List[str],
    separate_by_channels: bool,
    speaker_prefix: str,
    diarize_kwargs: dict,
) -> List[Tuple[float, float, str]]:
    # If there is no need for separation by channels, we diarize and return:
    if not separate_by_channels:
        # Diarize:
        diarization: pyannote.core.Annotation = pipeline(
            file={"waveform": audio, "sample_rate": sample_rate}, **diarize_kwargs
        )
        # Verify speakers labels (should not fail here as we set `num_speakers=len(speakers_labels)` when inferring
        # through the pipeline):
        if speakers_labels:
            given_speakers = len(speakers_labels)
            found_speakers = len(set(diarization.labels()))
            if given_speakers < found_speakers:
                raise ValueError(
                    f"Not enough `speakers_labels` were given. Got {given_speakers} labels but the diarization "
                    f"recognized {found_speakers} speakers."
                )
        # Return as a diarization list - a sorted list of tuples of start time, end time and a label (the default label
        # returned is "SPEAKER_i" so we take only the index out of it):
        return [
            (
                segment.start,
                segment.end,
                speakers_labels[int(label.split("_")[1])]
                if speakers_labels
                else f"{speaker_prefix}{int(label.split('_')[1])}",
            )
            for segment, track, label in diarization.itertracks(yield_label=True)
        ]

    # Separate to channels and diarize (we expect only one speaker per channel):
    channel_diarizations = [
        _diarize(
            audio=audio[channel].unsqueeze(
                0
            ),  # Take channel and add a channel dimension to it.
            sample_rate=sample_rate,
            pipeline=pipeline,
            speakers_labels=[
                speakers_labels[channel]
            ],  # Take the channel's label only.
            separate_by_channels=False,
            speaker_prefix=speaker_prefix,
            diarize_kwargs={"num_speakers": 1},  # Set to one speaker.
        )
        for channel in range(audio.shape[0])
    ]

    # Merge the channel diarizations into a single sorted list:
    return list(heapq.merge(*channel_diarizations))

+    base_image: mlrun/mlrun-gpu
+    commands: []
+    code_origin: ''
+    origin_filename: ''
+    requirements:
+    - pyannote.audio
+    - pyannote.core
+    - torchaudio
+    - tqdm
+  entry_points:
+    open_mpi_handler:
+      name: open_mpi_handler
+      doc: ''
+      parameters:
+      - name: worker_inputs
+        type: List[str]
+      - name: root_worker_inputs
+        type: Dict[str, Any]
+        default: null
+      outputs: []
+      lineno: 61
+      has_varargs: false
+      has_kwargs: false
+    decorator:
+      name: decorator
+      doc: ''
+      parameters:
+      - name: handler
+      outputs: []
+      lineno: 73
+      has_varargs: false
+      has_kwargs: false
+    wrapper:
+      name: wrapper
+      doc: ''
+      parameters: []
+      outputs: []
+      lineno: 78
+      has_varargs: false
+      has_kwargs: true
+    diarize:
+      name: diarize
+      doc: "Perform speech diarization on given audio files using pyannote-audio (https://github.com/pyannote/pyannote-audio).\n\
+        The end result is a dictionary with the file names as keys and their diarization\
+        \ as value. A diarization is a list\nof tuples: (start, end, speaker_label).\n\
+        \nTo use the `pyannote.audio` models you must pass a Huggingface token and\
+        \ get access to the required models. The\ntoken can be passed in one of the\
+        \ following options:\n\n* Use the parameter `access_token`.\n* Set an environment\
+        \ variable named \"HUGGING_FACE_HUB_TOKEN\".\n* If using MLRun, you can pass\
+        \ it as a secret named \"HUGGING_FACE_HUB_TOKEN\".\n\nTo get access to the\
+        \ models on Huggingface, visit their page. For example, to use the default\
+        \ diarization model set\nin this function (\"pyannote/speaker-diarization-3.0\"\
+        ), you need access for these two models:\n\n* https://huggingface.co/pyannote/segmentation-3.0\n\
+        * https://huggingface.co/pyannote/speaker-diarization-3.0\n\nNote: To control\
+        \ the recognized speakers in the diarization output you can choose one of\
+        \ the following methods:\n\n* For a known speakers amount, you may set speaker\
+        \ labels via the `speakers_labels` parameter that will be used in\n  the order\
+        \ of speaking in the audio (first person speaking be the first label in the\
+        \ list). In addition, you can do\n  diarization per channel (setting the parameter\
+        \ `separate_by_channels` to True). Each label will be assigned to a\n  specific\
+        \ channel by order (first label to channel 0, second label to channel 1 and\
+        \ so on). Notice, this will\n  increase runtime.\n* For unknown speakers amount,\
+        \ you can set the `speaker_prefix` parameter to add a prefix for each speaker\
+        \ number.\n  You can also help the diarization by setting the speakers range\
+        \ via the `speakers_amount_range` parameter."
+      parameters:
+      - name: data_path
+        type: Union[str, List[str]]
+        doc: A directory of the audio files, a single file or a list of files to transcribe.
+      - name: model_name
+        type: str
+        doc: 'One of the official diarization model names (referred as diarization
+          pipelines) of `pyannote.audio` Huggingface page. Default: "pyannote/speaker-diarization-3.0".'
+        default: pyannote/speaker-diarization-3.0
+      - name: access_token
+        type: str
+        doc: An access token to pass for using the `pyannote.audio` models. If not
+          provided, it will be looking for the environment variable "HUGGING_FACE_HUB_TOKEN".
+          If MLRun is available, it will look for a secret "HUGGING_FACE_HUB_TOKEN".
+        default: null
+      - name: device
+        type: str
+        doc: Device to load the model. Can be one of {"cuda", "cpu"}. Default will
+          prefer "cuda" if available.
+        default: null
+      - name: speakers_labels
+        type: List[str]
+        doc: 'Labels to use for the recognized speakers. Default: numeric labels (0,
+          1, ...).'
+        default: null
+      - name: speaker_prefix
+        type: str
+        doc: 'A prefix to add for the speakers labels. This parameter is ignored if
+          `speakers_labels` is not None. Default: "speaker".'
+        default: speaker_
+      - name: separate_by_channels
+        type: bool
+        doc: If each speaker is speaking in a separate channel, you can diarize each
+          channel and combine the result into a single diarization. Each label set
+          in the `speakers_labels` parameter will be assigned to a specific channel
+          by order.
+        default: false
+      - name: minimum_speakers
+        type: int
+        doc: Set the minimum expected amount of speakers to be in the audio files.
+          This parameter is ignored if `speakers_labels` is not None.
+        default: null
+      - name: maximum_speakers
+        type: int
+        doc: Set the maximum expected amount of speakers to be in the audio files.
+          This parameter is ignored if `speakers_labels` is not None.
+        default: null
+      - name: verbose
+        type: bool
+        doc: 'Whether to present logs of a progress bar and errors. Default: True.'
+        default: false
+      outputs:
+      - doc: 'A tuple of:'
+        type: Tuple[Dict[str, List[Tuple[float, float, str]]], Dict[str, str]]
+      lineno: 139
+      has_varargs: false
+      has_kwargs: false
+  description: pyannote's speech diarization of audio files
+  default_handler: diarize
+  disable_auto_mount: false
+  clone_target_dir: ''
+  env: []
+  priority_class_name: ''
+  preemption_mode: prevent
+  affinity: null
+  tolerations: null
+  security_context: {}
+verbose: false
+
+        </code>
+    </pre>
+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/pyannote_audio/1.2.0/static/item.html b/functions/master/pyannote_audio/1.2.0/static/item.html
new file mode 100644
index 00000000..4756b62f
--- /dev/null
+++ b/functions/master/pyannote_audio/1.2.0/static/item.html
@@ -0,0 +1,52 @@
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta content="IE=edge" http-equiv="X-UA-Compatible">
+    <meta content="width=device-width, initial-scale=1.0" name="viewport">
+    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/styles/atom-one-dark.min.css">
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/highlight.min.js"></script>
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/languages/yaml.min.js"></script>
+    <title>Source</title>
+    <script>hljs.highlightAll();</script>
+</head>
+
+<body style="background-color:darkgray; margin: 0 0 0 0;">
+    <pre style="margin: 0 1em;">
+        <code class="yaml">
+apiVersion: v1
+categories:
+- deep-learning
+- huggingface
+- audio
+description: pyannote's speech diarization of audio files
+doc: ''
+example: pyannote_audio.ipynb
+generationDate: 2023-12-03:14-30
+hidden: false
+icon: ''
+labels:
+  author: guyl
+maintainers: []
+marketplaceType: ''
+mlrunVersion: 1.5.2
+name: pyannote-audio
+platformVersion: 3.5.3
+spec:
+  filename: pyannote_audio.py
+  handler: diarize
+  image: mlrun/mlrun-gpu
+  kind: job
+  requirements:
+  - pyannote.audio
+  - pyannote.core
+  - torchaudio
+  - tqdm
+url: ''
+version: 1.2.0
+
+        </code>
+    </pre>
+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/pyannote_audio/1.2.0/static/pyannote_audio.html b/functions/master/pyannote_audio/1.2.0/static/pyannote_audio.html
new file mode 100644
index 00000000..c58303c2
--- /dev/null
+++ b/functions/master/pyannote_audio/1.2.0/static/pyannote_audio.html
@@ -0,0 +1,516 @@
+
+<!DOCTYPE html>
+
+<html lang="en">
+<head>
+<meta charset="utf-8"/>
+<meta content="width=device-width, initial-scale=1.0" name="viewport"/>
+<title>pyannote_audio.pyannote_audio</title>
+<!-- Loaded before other Sphinx assets -->
+<link href="../../../_static/styles/theme.css?digest=1999514e3f237ded88cf" rel="stylesheet"/>
+<link href="../../../_static/styles/pydata-sphinx-theme.css?digest=1999514e3f237ded88cf" rel="stylesheet"/>
+<link href="../../../_static/vendor/fontawesome/5.13.0/css/all.min.css" rel="stylesheet"/>
+<link as="font" crossorigin="" href="../../../_static/vendor/fontawesome/5.13.0/webfonts/fa-solid-900.woff2" rel="preload" type="font/woff2"/>
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+<link href="../../../_static/pygments.css" rel="stylesheet" type="text/css">
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+<link href="../../../_static/togglebutton.css" rel="stylesheet" type="text/css">
+<!-- Pre-loaded scripts that we'll load fully later -->
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+<script src="../../../_static/scripts/sphinx-book-theme.js?digest=9c920249402e914e316237a7dbc6769907cce411"></script>
+<script data-url_root="../../" id="documentation_options" src="../../../_static/documentation_options.js"></script>
+<script src="../../../_static/jquery.js"></script>
+<script src="../../../_static/underscore.js"></script>
+<script src="../../../_static/doctools.js"></script>
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+<meta content="width=device-width, initial-scale=1" name="viewport"/>
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+</link></link></link></link></link></link></head>
+<body data-offset="60" data-spy="scroll" data-target="#bd-toc-nav">
+<!-- Checkboxes to toggle the left sidebar -->
+<input aria-label="Toggle navigation sidebar" class="sidebar-toggle" id="__navigation" name="__navigation" type="checkbox"/>
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+<div class="visually-hidden">Toggle navigation sidebar</div>
+</label>
+<!-- Checkboxes to toggle the in-page toc -->
+<input aria-label="Toggle in-page Table of Contents" class="sidebar-toggle" id="__page-toc" name="__page-toc" type="checkbox"/>
+<label class="overlay overlay-pagetoc" for="__page-toc">
+<div class="visually-hidden">Toggle in-page Table of Contents</div>
+</label>
+<!-- Headers at the top -->
+<div class="announcement header-item noprint"></div>
+<div class="header header-item noprint"></div>
+<div class="container-fluid" id="banner"></div>
+<div class="container-xl">
+<div class="row">
+<!-- Sidebar -->
+<div class="bd-sidebar noprint single-page" id="site-navigation">
+</div>
+<!-- A tiny helper pixel to detect if we've scrolled -->
+<div class="sbt-scroll-pixel-helper"></div>
+<!-- Main content -->
+<div class="col py-0 content-container">
+<div class="header-article row sticky-top noprint">
+<div class="col py-1 d-flex header-article-main">
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+</button>
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+<ul>
+<li>
+<a class="headerbtn" data-placement="left" data-toggle="tooltip" href="https://github.com/mlrun/marketplace" title="Source repository">
+<span class="headerbtn__icon-container">
+<i class="fab fa-github"></i>
+</span>
+<span class="headerbtn__text-container">repository</span>
+</a>
+</li>
+<li>
+<a class="headerbtn" data-placement="left" data-toggle="tooltip" href="https://github.com/mlrun/marketplace/issues/new?title=Issue%20on%20page%20%2F_modules/pyannote_audio/pyannote_audio.html&amp;body=Your%20issue%20content%20here." title="Open an issue">
+<span class="headerbtn__icon-container">
+<i class="fas fa-lightbulb"></i>
+</span>
+<span class="headerbtn__text-container">open issue</span>
+</a>
+</li>
+</ul>
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+</div>
+<!-- Table of contents -->
+<div class="col-md-3 bd-toc show noprint">
+</div>
+</div>
+<div class="article row">
+<div class="col pl-md-3 pl-lg-5 content-container">
+<!-- Table of contents that is only displayed when printing the page -->
+<div class="onlyprint" id="jb-print-docs-body">
+<h1></h1>
+<!-- Table of contents -->
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+<div id="jb-print-toc">
+</div>
+</div>
+</div>
+<main id="main-content" role="main">
+<div>
+<h1>Source code for pyannote_audio.pyannote_audio</h1><div class="highlight"><pre>
+<span></span><span class="c1"># Copyright 2023 Iguazio</span>
+<span class="c1">#</span>
+<span class="c1"># Licensed under the Apache License, Version 2.0 (the "License");</span>
+<span class="c1"># you may not use this file except in compliance with the License.</span>
+<span class="c1"># You may obtain a copy of the License at</span>
+<span class="c1">#</span>
+<span class="c1">#   http://www.apache.org/licenses/LICENSE-2.0</span>
+<span class="c1">#</span>
+<span class="c1"># Unless required by applicable law or agreed to in writing, software</span>
+<span class="c1"># distributed under the License is distributed on an "AS IS" BASIS,</span>
+<span class="c1"># WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.</span>
+<span class="c1"># See the License for the specific language governing permissions and</span>
+<span class="c1"># limitations under the License.</span>
+
+<span class="kn">import</span> <span class="nn">heapq</span>
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">import</span> <span class="nn">operator</span>
+<span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">import</span> <span class="nn">pathlib</span>
+<span class="kn">from</span> <span class="nn">functools</span> <span class="kn">import</span> <span class="n">reduce</span><span class="p">,</span> <span class="n">wraps</span>
+<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Any</span><span class="p">,</span> <span class="n">Dict</span><span class="p">,</span> <span class="n">List</span><span class="p">,</span> <span class="n">Tuple</span><span class="p">,</span> <span class="n">Union</span>
+
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="kn">import</span> <span class="nn">pyannote.audio</span>
+<span class="kn">import</span> <span class="nn">pyannote.core</span>
+<span class="kn">import</span> <span class="nn">torch</span>
+<span class="kn">import</span> <span class="nn">torchaudio</span>
+<span class="kn">from</span> <span class="nn">tqdm</span> <span class="kn">import</span> <span class="n">tqdm</span>
+
+<span class="c1"># Get the global logger:</span>
+<span class="n">_LOGGER</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">()</span>
+
+
+<span class="k">def</span> <span class="nf">_check_mlrun_and_open_mpi</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="s2">"mlrun.MLClientCtx"</span><span class="p">,</span> <span class="s2">"mpi4py.MPI.Intracomm"</span><span class="p">]:</span>
+    <span class="n">is_mpi</span> <span class="o">=</span> <span class="kc">False</span>
+    <span class="k">try</span><span class="p">:</span>
+        <span class="kn">import</span> <span class="nn">mlrun</span>
+
+        <span class="n">context</span> <span class="o">=</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">get_or_create_ctx</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s2">"mlrun"</span><span class="p">)</span>
+        <span class="n">is_mpi</span> <span class="o">=</span> <span class="n">context</span><span class="o">.</span><span class="n">labels</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"kind"</span><span class="p">,</span> <span class="s2">"job"</span><span class="p">)</span> <span class="o">==</span> <span class="s2">"mpijob"</span>
+
+        <span class="k">if</span> <span class="n">is_mpi</span><span class="p">:</span>
+            <span class="k">try</span><span class="p">:</span>
+                <span class="kn">from</span> <span class="nn">mpi4py</span> <span class="kn">import</span> <span class="n">MPI</span>
+
+                <span class="k">return</span> <span class="n">context</span><span class="p">,</span> <span class="n">MPI</span><span class="o">.</span><span class="n">COMM_WORLD</span>
+            <span class="k">except</span> <span class="ne">ModuleNotFoundError</span> <span class="k">as</span> <span class="n">mpi4py_not_found</span><span class="p">:</span>
+                <span class="n">context</span><span class="o">.</span><span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span>
+                    <span class="s2">"To distribute the function using MLRun's 'mpijob' you need to have `mpi4py` package in your "</span>
+                    <span class="s2">"interpreter. Please run `pip install mpi4py` and make sure you have open-mpi."</span>
+                <span class="p">)</span>
+                <span class="k">raise</span> <span class="n">mpi4py_not_found</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="k">return</span> <span class="n">context</span><span class="p">,</span> <span class="kc">None</span>
+    <span class="k">except</span> <span class="ne">ModuleNotFoundError</span> <span class="k">as</span> <span class="n">module_not_found</span><span class="p">:</span>
+        <span class="k">if</span> <span class="n">is_mpi</span><span class="p">:</span>
+            <span class="k">raise</span> <span class="n">module_not_found</span>
+    <span class="k">return</span> <span class="kc">None</span><span class="p">,</span> <span class="kc">None</span>
+
+
+<div class="viewcode-block" id="open_mpi_handler"><a class="viewcode-back" href="documentation.html#pyannote_audio.pyannote_audio.open_mpi_handler">[docs]</a><span class="k">def</span> <span class="nf">open_mpi_handler</span><span class="p">(</span>
+    <span class="n">worker_inputs</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">],</span> <span class="n">root_worker_inputs</span><span class="p">:</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">Any</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span>
+<span class="p">):</span>
+    <span class="k">global</span> <span class="n">_LOGGER</span>
+
+    <span class="c1"># Check for MLRun and OpenMPI availability:</span>
+    <span class="n">context</span><span class="p">,</span> <span class="n">comm</span> <span class="o">=</span> <span class="n">_check_mlrun_and_open_mpi</span><span class="p">()</span>
+
+    <span class="c1"># Check if MLRun is available, set the global logger to MLRun's:</span>
+    <span class="k">if</span> <span class="n">context</span><span class="p">:</span>
+        <span class="n">_LOGGER</span> <span class="o">=</span> <span class="n">context</span><span class="o">.</span><span class="n">logger</span>
+
+    <span class="k">def</span> <span class="nf">decorator</span><span class="p">(</span><span class="n">handler</span><span class="p">):</span>
+        <span class="k">if</span> <span class="n">comm</span> <span class="ow">is</span> <span class="kc">None</span> <span class="ow">or</span> <span class="n">comm</span><span class="o">.</span><span class="n">Get_size</span><span class="p">()</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
+            <span class="k">return</span> <span class="n">handler</span>
+
+        <span class="nd">@wraps</span><span class="p">(</span><span class="n">handler</span><span class="p">)</span>
+        <span class="k">def</span> <span class="nf">wrapper</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+            <span class="c1"># Get the open mpi environment properties:</span>
+            <span class="n">size</span> <span class="o">=</span> <span class="n">comm</span><span class="o">.</span><span class="n">Get_size</span><span class="p">()</span>
+            <span class="n">rank</span> <span class="o">=</span> <span class="n">comm</span><span class="o">.</span><span class="n">Get_rank</span><span class="p">()</span>
+
+            <span class="c1"># Give the correct chunk of the workers inputs:</span>
+            <span class="k">for</span> <span class="n">worker_input</span> <span class="ow">in</span> <span class="n">worker_inputs</span><span class="p">:</span>
+                <span class="n">input_argument</span> <span class="o">=</span> <span class="n">kwargs</span><span class="p">[</span><span class="n">worker_input</span><span class="p">]</span>
+                <span class="k">if</span> <span class="n">input_argument</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+                    <span class="k">continue</span>
+                <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">input_argument</span><span class="p">,</span> <span class="nb">str</span><span class="p">):</span>
+                    <span class="n">input_argument</span> <span class="o">=</span> <span class="n">_get_audio_files</span><span class="p">(</span>
+                        <span class="n">data_path</span><span class="o">=</span><span class="n">pathlib</span><span class="o">.</span><span class="n">Path</span><span class="p">(</span><span class="n">input_argument</span><span class="p">)</span><span class="o">.</span><span class="n">absolute</span><span class="p">()</span>
+                    <span class="p">)</span>
+                <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">input_argument</span><span class="p">)</span> <span class="o">&lt;</span> <span class="n">size</span><span class="p">:</span>
+                    <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span>
+                        <span class="sa">f</span><span class="s2">"Cannot split the input '</span><span class="si">{</span><span class="n">worker_input</span><span class="si">}</span><span class="s2">' of length </span><span class="si">{</span><span class="nb">len</span><span class="p">(</span><span class="n">input_argument</span><span class="p">)</span><span class="si">}</span><span class="s2"> to </span><span class="si">{</span><span class="n">size</span><span class="si">}</span><span class="s2"> workers. "</span>
+                        <span class="sa">f</span><span class="s2">"Please reduce the amount of workers for this input."</span>
+                    <span class="p">)</span>
+                <span class="n">even_chunk_size</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">input_argument</span><span class="p">)</span> <span class="o">//</span> <span class="n">size</span>
+                <span class="n">chunk_start</span> <span class="o">=</span> <span class="n">rank</span> <span class="o">*</span> <span class="n">even_chunk_size</span>
+                <span class="n">chunk_end</span> <span class="o">=</span> <span class="p">(</span>
+                    <span class="p">(</span><span class="n">rank</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span> <span class="o">*</span> <span class="n">even_chunk_size</span>
+                    <span class="k">if</span> <span class="n">rank</span> <span class="o">+</span> <span class="mi">1</span> <span class="o">&lt;</span> <span class="n">size</span>
+                    <span class="k">else</span> <span class="nb">len</span><span class="p">(</span><span class="n">input_argument</span><span class="p">)</span>
+                <span class="p">)</span>
+                <span class="n">context</span><span class="o">.</span><span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                    <span class="sa">f</span><span class="s2">"Rank #</span><span class="si">{</span><span class="n">rank</span><span class="si">}</span><span class="s2">: Processing input chunk of '</span><span class="si">{</span><span class="n">worker_input</span><span class="si">}</span><span class="s2">' "</span>
+                    <span class="sa">f</span><span class="s2">"from index </span><span class="si">{</span><span class="n">chunk_start</span><span class="si">}</span><span class="s2"> to </span><span class="si">{</span><span class="n">chunk_end</span><span class="si">}</span><span class="s2">."</span>
+                <span class="p">)</span>
+                <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">input_argument</span><span class="p">,</span> <span class="nb">list</span><span class="p">):</span>
+                    <span class="n">input_argument</span> <span class="o">=</span> <span class="n">input_argument</span><span class="p">[</span><span class="n">chunk_start</span><span class="p">:</span><span class="n">chunk_end</span><span class="p">]</span>
+                <span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">input_argument</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">):</span>
+                    <span class="n">input_argument</span> <span class="o">=</span> <span class="n">input_argument</span><span class="o">.</span><span class="n">iloc</span><span class="p">[</span><span class="n">chunk_start</span><span class="p">:</span><span class="n">chunk_end</span><span class="p">:,</span> <span class="p">:]</span>
+                <span class="n">kwargs</span><span class="p">[</span><span class="n">worker_input</span><span class="p">]</span> <span class="o">=</span> <span class="n">input_argument</span>
+
+            <span class="c1"># Set the root worker only arguments:</span>
+            <span class="k">if</span> <span class="n">rank</span> <span class="o">==</span> <span class="mi">0</span> <span class="ow">and</span> <span class="n">root_worker_inputs</span><span class="p">:</span>
+                <span class="n">kwargs</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">root_worker_inputs</span><span class="p">)</span>
+
+            <span class="c1"># Run the worker:</span>
+            <span class="n">output</span> <span class="o">=</span> <span class="n">handler</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+
+            <span class="c1"># Send the output to the root rank (rank #0):</span>
+            <span class="n">output</span> <span class="o">=</span> <span class="n">comm</span><span class="o">.</span><span class="n">gather</span><span class="p">(</span><span class="n">output</span><span class="p">,</span> <span class="n">root</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+            <span class="k">if</span> <span class="n">rank</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
+                <span class="c1"># Join the outputs:</span>
+                <span class="n">context</span><span class="o">.</span><span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s2">"Collecting data from workers to root worker."</span><span class="p">)</span>
+                <span class="n">diarization_dictionary</span> <span class="o">=</span> <span class="n">reduce</span><span class="p">(</span>
+                    <span class="n">operator</span><span class="o">.</span><span class="n">ior</span><span class="p">,</span> <span class="p">[</span><span class="n">dia</span> <span class="k">for</span> <span class="n">dia</span><span class="p">,</span> <span class="n">_</span> <span class="ow">in</span> <span class="n">output</span><span class="p">],</span> <span class="p">{}</span>
+                <span class="p">)</span>
+                <span class="n">errors_dictionary</span> <span class="o">=</span> <span class="n">reduce</span><span class="p">(</span><span class="n">operator</span><span class="o">.</span><span class="n">ior</span><span class="p">,</span> <span class="p">[</span><span class="n">err</span> <span class="k">for</span> <span class="n">_</span><span class="p">,</span> <span class="n">err</span> <span class="ow">in</span> <span class="n">output</span><span class="p">],</span> <span class="p">{})</span>
+                <span class="k">return</span> <span class="n">diarization_dictionary</span><span class="p">,</span> <span class="n">errors_dictionary</span>
+            <span class="k">return</span> <span class="kc">None</span>
+
+        <span class="k">return</span> <span class="n">wrapper</span>
+
+    <span class="k">return</span> <span class="n">decorator</span></div>
+
+
+<div class="viewcode-block" id="diarize"><a class="viewcode-back" href="documentation.html#pyannote_audio.pyannote_audio.diarize">[docs]</a><span class="nd">@open_mpi_handler</span><span class="p">(</span><span class="n">worker_inputs</span><span class="o">=</span><span class="p">[</span><span class="s2">"data_path"</span><span class="p">],</span> <span class="n">root_worker_inputs</span><span class="o">=</span><span class="p">{</span><span class="s2">"verbose"</span><span class="p">:</span> <span class="kc">True</span><span class="p">})</span>
+<span class="k">def</span> <span class="nf">diarize</span><span class="p">(</span>
+    <span class="n">data_path</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">]],</span>
+    <span class="n">model_name</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">"pyannote/speaker-diarization-3.0"</span><span class="p">,</span>
+    <span class="n">access_token</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">device</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">speakers_labels</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">speaker_prefix</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">"speaker_"</span><span class="p">,</span>
+    <span class="n">separate_by_channels</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
+    <span class="n">minimum_speakers</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">maximum_speakers</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">verbose</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
+<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">List</span><span class="p">[</span><span class="n">Tuple</span><span class="p">[</span><span class="nb">float</span><span class="p">,</span> <span class="nb">float</span><span class="p">,</span> <span class="nb">str</span><span class="p">]]],</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">str</span><span class="p">]]:</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    Perform speech diarization on given audio files using pyannote-audio (https://github.com/pyannote/pyannote-audio).</span>
+<span class="sd">    The end result is a dictionary with the file names as keys and their diarization as value. A diarization is a list</span>
+<span class="sd">    of tuples: (start, end, speaker_label).</span>
+
+<span class="sd">    To use the `pyannote.audio` models you must pass a Huggingface token and get access to the required models. The</span>
+<span class="sd">    token can be passed in one of the following options:</span>
+
+<span class="sd">    * Use the parameter `access_token`.</span>
+<span class="sd">    * Set an environment variable named "HUGGING_FACE_HUB_TOKEN".</span>
+<span class="sd">    * If using MLRun, you can pass it as a secret named "HUGGING_FACE_HUB_TOKEN".</span>
+
+<span class="sd">    To get access to the models on Huggingface, visit their page. For example, to use the default diarization model set</span>
+<span class="sd">    in this function ("pyannote/speaker-diarization-3.0"), you need access for these two models:</span>
+
+<span class="sd">    * https://huggingface.co/pyannote/segmentation-3.0</span>
+<span class="sd">    * https://huggingface.co/pyannote/speaker-diarization-3.0</span>
+
+<span class="sd">    Note: To control the recognized speakers in the diarization output you can choose one of the following methods:</span>
+
+<span class="sd">    * For a known speakers amount, you may set speaker labels via the `speakers_labels` parameter that will be used in</span>
+<span class="sd">      the order of speaking in the audio (first person speaking be the first label in the list). In addition, you can do</span>
+<span class="sd">      diarization per channel (setting the parameter `separate_by_channels` to True). Each label will be assigned to a</span>
+<span class="sd">      specific channel by order (first label to channel 0, second label to channel 1 and so on). Notice, this will</span>
+<span class="sd">      increase runtime.</span>
+<span class="sd">    * For unknown speakers amount, you can set the `speaker_prefix` parameter to add a prefix for each speaker number.</span>
+<span class="sd">      You can also help the diarization by setting the speakers range via the `speakers_amount_range` parameter.</span>
+
+<span class="sd">    :param data_path:            A directory of the audio files, a single file or a list of files to transcribe.</span>
+<span class="sd">    :param model_name:           One of the official diarization model names (referred as diarization pipelines) of</span>
+<span class="sd">                                 `pyannote.audio` Huggingface page. Default: "pyannote/speaker-diarization-3.0".</span>
+<span class="sd">    :param access_token:         An access token to pass for using the `pyannote.audio` models. If not provided, it</span>
+<span class="sd">                                 will be looking for the environment variable "HUGGING_FACE_HUB_TOKEN". If MLRun is</span>
+<span class="sd">                                 available, it will look for a secret "HUGGING_FACE_HUB_TOKEN".</span>
+<span class="sd">    :param device:               Device to load the model. Can be one of {"cuda", "cpu"}. Default will prefer "cuda" if</span>
+<span class="sd">                                 available.</span>
+<span class="sd">    :param speakers_labels:      Labels to use for the recognized speakers. Default: numeric labels (0, 1, ...).</span>
+<span class="sd">    :param separate_by_channels: If each speaker is speaking in a separate channel, you can diarize each channel and</span>
+<span class="sd">                                 combine the result into a single diarization. Each label set in the `speakers_labels`</span>
+<span class="sd">                                 parameter will be assigned to a specific channel by order.</span>
+<span class="sd">    :param speaker_prefix:       A prefix to add for the speakers labels. This parameter is ignored if</span>
+<span class="sd">                                 `speakers_labels` is not None. Default: "speaker".</span>
+<span class="sd">    :param minimum_speakers:     Set the minimum expected amount of speakers to be in the audio files. This parameter is</span>
+<span class="sd">                                 ignored if `speakers_labels` is not None.</span>
+<span class="sd">    :param maximum_speakers:     Set the maximum expected amount of speakers to be in the audio files. This parameter is</span>
+<span class="sd">                                 ignored if `speakers_labels` is not None.</span>
+<span class="sd">    :param verbose:              Whether to present logs of a progress bar and errors. Default: True.</span>
+
+<span class="sd">    :returns: A tuple of:</span>
+
+<span class="sd">              * Speech diarization dictionary.</span>
+<span class="sd">              * A dictionary of errored files that were not transcribed.</span>
+<span class="sd">    """</span>
+    <span class="k">global</span> <span class="n">_LOGGER</span>
+
+    <span class="c1"># Get the input audio files to diarize:</span>
+    <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">data_path</span><span class="p">,</span> <span class="nb">str</span><span class="p">):</span>
+        <span class="n">data_path</span> <span class="o">=</span> <span class="n">pathlib</span><span class="o">.</span><span class="n">Path</span><span class="p">(</span><span class="n">data_path</span><span class="p">)</span><span class="o">.</span><span class="n">absolute</span><span class="p">()</span>
+        <span class="n">audio_files</span> <span class="o">=</span> <span class="n">_get_audio_files</span><span class="p">(</span><span class="n">data_path</span><span class="o">=</span><span class="n">data_path</span><span class="p">)</span>
+    <span class="k">else</span><span class="p">:</span>  <span class="c1"># Should be a list of files.</span>
+        <span class="n">audio_files</span> <span class="o">=</span> <span class="n">data_path</span>
+
+    <span class="c1"># Get the Huggingface access token:</span>
+    <span class="n">access_token</span> <span class="o">=</span> <span class="n">_get_access_token</span><span class="p">(</span><span class="n">parameter</span><span class="o">=</span><span class="n">access_token</span><span class="p">)</span>
+    <span class="k">if</span> <span class="n">access_token</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+        <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span>
+            <span class="s2">"A Huggingface access token must be provided to use `pyannote.audio` models. Access token can be passed "</span>
+            <span class="s2">"via one of the following options:</span><span class="se">\n</span><span class="s2">"</span>
+            <span class="s2">"* Use the parameter `access_token`.</span><span class="se">\n</span><span class="s2">"</span>
+            <span class="s2">"* Set an environment variable named 'HUGGING_FACE_HUB_TOKEN'.</span><span class="se">\n</span><span class="s2">"</span>
+            <span class="s2">"* If using MLRun, you can pass it as a secret named 'HUGGING_FACE_HUB_TOKEN'."</span>
+        <span class="p">)</span>
+
+    <span class="c1"># Load the diarization pipeline:</span>
+    <span class="n">pipeline</span> <span class="o">=</span> <span class="n">pyannote</span><span class="o">.</span><span class="n">audio</span><span class="o">.</span><span class="n">Pipeline</span><span class="o">.</span><span class="n">from_pretrained</span><span class="p">(</span>
+        <span class="n">checkpoint_path</span><span class="o">=</span><span class="n">model_name</span><span class="p">,</span> <span class="n">use_auth_token</span><span class="o">=</span><span class="n">access_token</span>
+    <span class="p">)</span>
+
+    <span class="c1"># Set the device:</span>
+    <span class="n">device</span> <span class="o">=</span> <span class="n">device</span> <span class="ow">or</span> <span class="p">(</span><span class="s2">"cuda"</span> <span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">is_available</span><span class="p">()</span> <span class="k">else</span> <span class="s2">"cpu"</span><span class="p">)</span>
+    <span class="k">if</span> <span class="n">device</span> <span class="o">!=</span> <span class="s2">"cpu"</span><span class="p">:</span>
+        <span class="n">pipeline</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">device</span><span class="p">(</span><span class="n">device</span><span class="p">))</span>
+
+    <span class="c1"># Prepare the successes dataframe and errors dictionary to be returned:</span>
+    <span class="n">diarizations</span> <span class="o">=</span> <span class="p">{}</span>
+    <span class="n">errors</span> <span class="o">=</span> <span class="p">{}</span>
+
+    <span class="c1"># Prepare the diarization keyword arguments:</span>
+    <span class="n">diarize_kwargs</span> <span class="o">=</span> <span class="p">{}</span>
+    <span class="k">if</span> <span class="n">speakers_labels</span><span class="p">:</span>
+        <span class="n">diarize_kwargs</span><span class="p">[</span><span class="s2">"num_speakers"</span><span class="p">]</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">speakers_labels</span><span class="p">)</span>
+    <span class="k">else</span><span class="p">:</span>
+        <span class="k">if</span> <span class="n">minimum_speakers</span><span class="p">:</span>
+            <span class="n">diarize_kwargs</span><span class="p">[</span><span class="s2">"min_speakers"</span><span class="p">]</span> <span class="o">=</span> <span class="n">minimum_speakers</span>
+        <span class="k">if</span> <span class="n">maximum_speakers</span><span class="p">:</span>
+            <span class="n">diarize_kwargs</span><span class="p">[</span><span class="s2">"max_speakers"</span><span class="p">]</span> <span class="o">=</span> <span class="n">maximum_speakers</span>
+
+    <span class="c1"># Go over the audio files and diarize:</span>
+    <span class="k">for</span> <span class="n">audio_file</span> <span class="ow">in</span> <span class="n">tqdm</span><span class="p">(</span>
+        <span class="n">audio_files</span><span class="p">,</span> <span class="n">desc</span><span class="o">=</span><span class="s2">"Diarizing"</span><span class="p">,</span> <span class="n">unit</span><span class="o">=</span><span class="s2">"file"</span><span class="p">,</span> <span class="n">disable</span><span class="o">=</span><span class="ow">not</span> <span class="n">verbose</span>
+    <span class="p">):</span>
+        <span class="k">try</span><span class="p">:</span>
+            <span class="c1"># Load audio file:</span>
+            <span class="n">audio</span><span class="p">,</span> <span class="n">sample_rate</span> <span class="o">=</span> <span class="n">torchaudio</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">uri</span><span class="o">=</span><span class="n">audio_file</span><span class="p">,</span> <span class="n">channels_first</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+            <span class="c1"># Get the diarization (if provided):</span>
+            <span class="n">diarizations</span><span class="p">[</span><span class="n">audio_file</span><span class="o">.</span><span class="n">name</span><span class="p">]</span> <span class="o">=</span> <span class="n">_diarize</span><span class="p">(</span>
+                <span class="n">audio</span><span class="o">=</span><span class="n">audio</span><span class="p">,</span>
+                <span class="n">sample_rate</span><span class="o">=</span><span class="n">sample_rate</span><span class="p">,</span>
+                <span class="n">pipeline</span><span class="o">=</span><span class="n">pipeline</span><span class="p">,</span>
+                <span class="n">speakers_labels</span><span class="o">=</span><span class="n">speakers_labels</span><span class="p">,</span>
+                <span class="n">separate_by_channels</span><span class="o">=</span><span class="n">separate_by_channels</span><span class="p">,</span>
+                <span class="n">speaker_prefix</span><span class="o">=</span><span class="n">speaker_prefix</span><span class="p">,</span>
+                <span class="n">diarize_kwargs</span><span class="o">=</span><span class="n">diarize_kwargs</span><span class="p">,</span>
+            <span class="p">)</span>
+        <span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">exception</span><span class="p">:</span>
+            <span class="c1"># Note the exception as error in the dictionary:</span>
+            <span class="k">if</span> <span class="n">verbose</span><span class="p">:</span>
+                <span class="n">_LOGGER</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Error in file: '</span><span class="si">{</span><span class="n">audio_file</span><span class="o">.</span><span class="n">name</span><span class="si">}</span><span class="s2">'"</span><span class="p">)</span>
+            <span class="n">errors</span><span class="p">[</span><span class="nb">str</span><span class="p">(</span><span class="n">audio_file</span><span class="o">.</span><span class="n">name</span><span class="p">)]</span> <span class="o">=</span> <span class="nb">str</span><span class="p">(</span><span class="n">exception</span><span class="p">)</span>
+            <span class="k">continue</span>
+
+    <span class="c1"># Print the head of the produced dataframe and return:</span>
+    <span class="k">if</span> <span class="n">verbose</span><span class="p">:</span>
+        <span class="n">_LOGGER</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Done (</span><span class="si">{</span><span class="nb">len</span><span class="p">(</span><span class="n">diarizations</span><span class="p">)</span><span class="si">}</span><span class="s2">/</span><span class="si">{</span><span class="nb">len</span><span class="p">(</span><span class="n">audio_files</span><span class="p">)</span><span class="si">}</span><span class="s2">)</span><span class="se">\n</span><span class="s2">"</span><span class="p">)</span>
+    <span class="k">return</span> <span class="n">diarizations</span><span class="p">,</span> <span class="n">errors</span></div>
+
+
+<span class="k">def</span> <span class="nf">_get_audio_files</span><span class="p">(</span>
+    <span class="n">data_path</span><span class="p">:</span> <span class="n">pathlib</span><span class="o">.</span><span class="n">Path</span><span class="p">,</span>
+<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="n">pathlib</span><span class="o">.</span><span class="n">Path</span><span class="p">]:</span>
+    <span class="c1"># Check if the path is of a directory or a file:</span>
+    <span class="k">if</span> <span class="n">data_path</span><span class="o">.</span><span class="n">is_dir</span><span class="p">():</span>
+        <span class="c1"># Get all files inside the directory:</span>
+        <span class="n">audio_files</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">data_path</span><span class="o">.</span><span class="n">glob</span><span class="p">(</span><span class="s2">"*.*"</span><span class="p">))</span>
+    <span class="k">elif</span> <span class="n">data_path</span><span class="o">.</span><span class="n">is_file</span><span class="p">():</span>
+        <span class="n">audio_files</span> <span class="o">=</span> <span class="p">[</span><span class="n">data_path</span><span class="p">]</span>
+    <span class="k">else</span><span class="p">:</span>
+        <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span>
+            <span class="sa">f</span><span class="s2">"Unrecognized data path. The parameter `data_path` must be either a directory path or a file path. "</span>
+            <span class="sa">f</span><span class="s2">"Given: </span><span class="si">{</span><span class="nb">str</span><span class="p">(</span><span class="n">data_path</span><span class="p">)</span><span class="si">}</span><span class="s2"> "</span>
+        <span class="p">)</span>
+
+    <span class="k">return</span> <span class="n">audio_files</span>
+
+
+<span class="k">def</span> <span class="nf">_get_access_token</span><span class="p">(</span><span class="n">parameter</span><span class="p">:</span> <span class="nb">str</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">str</span><span class="p">:</span>
+    <span class="c1"># If given as a parameter, return it:</span>
+    <span class="k">if</span> <span class="n">parameter</span><span class="p">:</span>
+        <span class="k">return</span> <span class="n">parameter</span>
+
+    <span class="c1"># Otherwise, look at the environment variable:</span>
+    <span class="n">environment_variable</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"HUGGING_FACE_HUB_TOKEN"</span><span class="p">)</span>
+    <span class="k">if</span> <span class="n">environment_variable</span><span class="p">:</span>
+        <span class="k">return</span> <span class="n">environment_variable</span>
+
+    <span class="c1"># Lastly, try look in the set secrets in MLRun:</span>
+    <span class="n">secret</span> <span class="o">=</span> <span class="kc">None</span>
+    <span class="k">try</span><span class="p">:</span>
+        <span class="kn">import</span> <span class="nn">mlrun</span>
+
+        <span class="n">context</span> <span class="o">=</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">get_or_create_ctx</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s2">"mlrun"</span><span class="p">)</span>
+        <span class="n">secret</span> <span class="o">=</span> <span class="n">context</span><span class="o">.</span><span class="n">get_secret</span><span class="p">(</span><span class="n">key</span><span class="o">=</span><span class="s2">"HUGGING_FACE_HUB_TOKEN"</span><span class="p">)</span>
+    <span class="k">except</span> <span class="ne">ModuleNotFoundError</span><span class="p">:</span>
+        <span class="k">pass</span>
+
+    <span class="k">return</span> <span class="n">secret</span>
+
+
+<span class="k">def</span> <span class="nf">_diarize</span><span class="p">(</span>
+    <span class="n">audio</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">,</span>
+    <span class="n">sample_rate</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+    <span class="n">pipeline</span><span class="p">:</span> <span class="n">pyannote</span><span class="o">.</span><span class="n">audio</span><span class="o">.</span><span class="n">Pipeline</span><span class="p">,</span>
+    <span class="n">speakers_labels</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">],</span>
+    <span class="n">separate_by_channels</span><span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
+    <span class="n">speaker_prefix</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
+    <span class="n">diarize_kwargs</span><span class="p">:</span> <span class="nb">dict</span><span class="p">,</span>
+<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="n">Tuple</span><span class="p">[</span><span class="nb">float</span><span class="p">,</span> <span class="nb">float</span><span class="p">,</span> <span class="nb">str</span><span class="p">]]:</span>
+    <span class="c1"># If there is no need for separation by channels, we diarize and return:</span>
+    <span class="k">if</span> <span class="ow">not</span> <span class="n">separate_by_channels</span><span class="p">:</span>
+        <span class="c1"># Diarize:</span>
+        <span class="n">diarization</span><span class="p">:</span> <span class="n">pyannote</span><span class="o">.</span><span class="n">core</span><span class="o">.</span><span class="n">Annotation</span> <span class="o">=</span> <span class="n">pipeline</span><span class="p">(</span>
+            <span class="n">file</span><span class="o">=</span><span class="p">{</span><span class="s2">"waveform"</span><span class="p">:</span> <span class="n">audio</span><span class="p">,</span> <span class="s2">"sample_rate"</span><span class="p">:</span> <span class="n">sample_rate</span><span class="p">},</span> <span class="o">**</span><span class="n">diarize_kwargs</span>
+        <span class="p">)</span>
+        <span class="c1"># Verify speakers labels (should not fail here as we set `num_speakers=len(speakers_labels)` when inferring</span>
+        <span class="c1"># through the pipeline):</span>
+        <span class="k">if</span> <span class="n">speakers_labels</span><span class="p">:</span>
+            <span class="n">given_speakers</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">speakers_labels</span><span class="p">)</span>
+            <span class="n">found_speakers</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="nb">set</span><span class="p">(</span><span class="n">diarization</span><span class="o">.</span><span class="n">labels</span><span class="p">()))</span>
+            <span class="k">if</span> <span class="n">given_speakers</span> <span class="o">&lt;</span> <span class="n">found_speakers</span><span class="p">:</span>
+                <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span>
+                    <span class="sa">f</span><span class="s2">"Not enough `speakers_labels` were given. Got </span><span class="si">{</span><span class="n">given_speakers</span><span class="si">}</span><span class="s2"> labels but the diarization "</span>
+                    <span class="sa">f</span><span class="s2">"recognized </span><span class="si">{</span><span class="n">found_speakers</span><span class="si">}</span><span class="s2"> speakers."</span>
+                <span class="p">)</span>
+        <span class="c1"># Return as a diarization list - a sorted list of tuples of start time, end time and a label (the default label</span>
+        <span class="c1"># returned is "SPEAKER_i" so we take only the index out of it):</span>
+        <span class="k">return</span> <span class="p">[</span>
+            <span class="p">(</span>
+                <span class="n">segment</span><span class="o">.</span><span class="n">start</span><span class="p">,</span>
+                <span class="n">segment</span><span class="o">.</span><span class="n">end</span><span class="p">,</span>
+                <span class="n">speakers_labels</span><span class="p">[</span><span class="nb">int</span><span class="p">(</span><span class="n">label</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"_"</span><span class="p">)[</span><span class="mi">1</span><span class="p">])]</span>
+                <span class="k">if</span> <span class="n">speakers_labels</span>
+                <span class="k">else</span> <span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">speaker_prefix</span><span class="si">}{</span><span class="nb">int</span><span class="p">(</span><span class="n">label</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s1">'_'</span><span class="p">)[</span><span class="mi">1</span><span class="p">])</span><span class="si">}</span><span class="s2">"</span><span class="p">,</span>
+            <span class="p">)</span>
+            <span class="k">for</span> <span class="n">segment</span><span class="p">,</span> <span class="n">track</span><span class="p">,</span> <span class="n">label</span> <span class="ow">in</span> <span class="n">diarization</span><span class="o">.</span><span class="n">itertracks</span><span class="p">(</span><span class="n">yield_label</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+        <span class="p">]</span>
+
+    <span class="c1"># Separate to channels and diarize (we expect only one speaker per channel):</span>
+    <span class="n">channel_diarizations</span> <span class="o">=</span> <span class="p">[</span>
+        <span class="n">_diarize</span><span class="p">(</span>
+            <span class="n">audio</span><span class="o">=</span><span class="n">audio</span><span class="p">[</span><span class="n">channel</span><span class="p">]</span><span class="o">.</span><span class="n">unsqueeze</span><span class="p">(</span>
+                <span class="mi">0</span>
+            <span class="p">),</span>  <span class="c1"># Take channel and add a channel dimension to it.</span>
+            <span class="n">sample_rate</span><span class="o">=</span><span class="n">sample_rate</span><span class="p">,</span>
+            <span class="n">pipeline</span><span class="o">=</span><span class="n">pipeline</span><span class="p">,</span>
+            <span class="n">speakers_labels</span><span class="o">=</span><span class="p">[</span>
+                <span class="n">speakers_labels</span><span class="p">[</span><span class="n">channel</span><span class="p">]</span>
+            <span class="p">],</span>  <span class="c1"># Take the channel's label only.</span>
+            <span class="n">separate_by_channels</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+            <span class="n">speaker_prefix</span><span class="o">=</span><span class="n">speaker_prefix</span><span class="p">,</span>
+            <span class="n">diarize_kwargs</span><span class="o">=</span><span class="p">{</span><span class="s2">"num_speakers"</span><span class="p">:</span> <span class="mi">1</span><span class="p">},</span>  <span class="c1"># Set to one speaker.</span>
+        <span class="p">)</span>
+        <span class="k">for</span> <span class="n">channel</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">audio</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
+    <span class="p">]</span>
+
+    <span class="c1"># Merge the channel diarizations into a single sorted list:</span>
+    <span class="k">return</span> <span class="nb">list</span><span class="p">(</span><span class="n">heapq</span><span class="o">.</span><span class="n">merge</span><span class="p">(</span><span class="o">*</span><span class="n">channel_diarizations</span><span class="p">))</span>
+</pre></div>
+</div>
+</main>
+<footer class="footer-article noprint">
+<!-- Previous / next buttons -->
+<div class="prev-next-area">
+</div>
+</footer>
+</div>
+</div>
+<div class="footer-content row">
+<footer class="col footer"><p>
+  
+      © Copyright .<br/>
+</p>
+</footer>
+</div>
+</div>
+</div>
+</div>
+<!-- Scripts loaded after <body> so the DOM is not blocked -->
+<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf"></script>
+</body>
+</html>
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diff --git a/functions/master/pyannote_audio/1.2.0/static/source.html b/functions/master/pyannote_audio/1.2.0/static/source.html
new file mode 100644
index 00000000..fe7d54cd
--- /dev/null
+++ b/functions/master/pyannote_audio/1.2.0/static/source.html
@@ -0,0 +1,398 @@
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta content="IE=edge" http-equiv="X-UA-Compatible">
+    <meta content="width=device-width, initial-scale=1.0" name="viewport">
+    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/styles/atom-one-dark.min.css">
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/highlight.min.js"></script>
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/languages/python.min.js"></script>
+    <title>Source</title>
+    <script>hljs.highlightAll();</script>
+</head>
+
+<body style="background-color:darkgray; margin: 0 0 0 0;">
+    <pre style="margin: 0 1em;">
+        <code class="python">
+# Copyright 2023 Iguazio
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import heapq
+import logging
+import operator
+import os
+import pathlib
+from functools import reduce, wraps
+from typing import Any, Dict, List, Tuple, Union
+
+import pandas as pd
+import pyannote.audio
+import pyannote.core
+import torch
+import torchaudio
+from tqdm import tqdm
+
+# Get the global logger:
+_LOGGER = logging.getLogger()
+
+
+def _check_mlrun_and_open_mpi() -> Tuple["mlrun.MLClientCtx", "mpi4py.MPI.Intracomm"]:
+    is_mpi = False
+    try:
+        import mlrun
+
+        context = mlrun.get_or_create_ctx(name="mlrun")
+        is_mpi = context.labels.get("kind", "job") == "mpijob"
+
+        if is_mpi:
+            try:
+                from mpi4py import MPI
+
+                return context, MPI.COMM_WORLD
+            except ModuleNotFoundError as mpi4py_not_found:
+                context.logger.error(
+                    "To distribute the function using MLRun's 'mpijob' you need to have `mpi4py` package in your "
+                    "interpreter. Please run `pip install mpi4py` and make sure you have open-mpi."
+                )
+                raise mpi4py_not_found
+        else:
+            return context, None
+    except ModuleNotFoundError as module_not_found:
+        if is_mpi:
+            raise module_not_found
+    return None, None
+
+
+def open_mpi_handler(
+    worker_inputs: List[str], root_worker_inputs: Dict[str, Any] = None
+):
+    global _LOGGER
+
+    # Check for MLRun and OpenMPI availability:
+    context, comm = _check_mlrun_and_open_mpi()
+
+    # Check if MLRun is available, set the global logger to MLRun's:
+    if context:
+        _LOGGER = context.logger
+
+    def decorator(handler):
+        if comm is None or comm.Get_size() == 1:
+            return handler
+
+        @wraps(handler)
+        def wrapper(**kwargs):
+            # Get the open mpi environment properties:
+            size = comm.Get_size()
+            rank = comm.Get_rank()
+
+            # Give the correct chunk of the workers inputs:
+            for worker_input in worker_inputs:
+                input_argument = kwargs[worker_input]
+                if input_argument is None:
+                    continue
+                if isinstance(input_argument, str):
+                    input_argument = _get_audio_files(
+                        data_path=pathlib.Path(input_argument).absolute()
+                    )
+                if len(input_argument) < size:
+                    raise ValueError(
+                        f"Cannot split the input '{worker_input}' of length {len(input_argument)} to {size} workers. "
+                        f"Please reduce the amount of workers for this input."
+                    )
+                even_chunk_size = len(input_argument) // size
+                chunk_start = rank * even_chunk_size
+                chunk_end = (
+                    (rank + 1) * even_chunk_size
+                    if rank + 1 < size
+                    else len(input_argument)
+                )
+                context.logger.info(
+                    f"Rank #{rank}: Processing input chunk of '{worker_input}' "
+                    f"from index {chunk_start} to {chunk_end}."
+                )
+                if isinstance(input_argument, list):
+                    input_argument = input_argument[chunk_start:chunk_end]
+                elif isinstance(input_argument, pd.DataFrame):
+                    input_argument = input_argument.iloc[chunk_start:chunk_end:, :]
+                kwargs[worker_input] = input_argument
+
+            # Set the root worker only arguments:
+            if rank == 0 and root_worker_inputs:
+                kwargs.update(root_worker_inputs)
+
+            # Run the worker:
+            output = handler(**kwargs)
+
+            # Send the output to the root rank (rank #0):
+            output = comm.gather(output, root=0)
+            if rank == 0:
+                # Join the outputs:
+                context.logger.info("Collecting data from workers to root worker.")
+                diarization_dictionary = reduce(
+                    operator.ior, [dia for dia, _ in output], {}
+                )
+                errors_dictionary = reduce(operator.ior, [err for _, err in output], {})
+                return diarization_dictionary, errors_dictionary
+            return None
+
+        return wrapper
+
+    return decorator
+
+
+@open_mpi_handler(worker_inputs=["data_path"], root_worker_inputs={"verbose": True})
+def diarize(
+    data_path: Union[str, List[str]],
+    model_name: str = "pyannote/speaker-diarization-3.0",
+    access_token: str = None,
+    device: str = None,
+    speakers_labels: List[str] = None,
+    speaker_prefix: str = "speaker_",
+    separate_by_channels: bool = False,
+    minimum_speakers: int = None,
+    maximum_speakers: int = None,
+    verbose: bool = False,
+) -> Tuple[Dict[str, List[Tuple[float, float, str]]], Dict[str, str]]:
+    """
+    Perform speech diarization on given audio files using pyannote-audio (https://github.com/pyannote/pyannote-audio).
+    The end result is a dictionary with the file names as keys and their diarization as value. A diarization is a list
+    of tuples: (start, end, speaker_label).
+
+    To use the `pyannote.audio` models you must pass a Huggingface token and get access to the required models. The
+    token can be passed in one of the following options:
+
+    * Use the parameter `access_token`.
+    * Set an environment variable named "HUGGING_FACE_HUB_TOKEN".
+    * If using MLRun, you can pass it as a secret named "HUGGING_FACE_HUB_TOKEN".
+
+    To get access to the models on Huggingface, visit their page. For example, to use the default diarization model set
+    in this function ("pyannote/speaker-diarization-3.0"), you need access for these two models:
+
+    * https://huggingface.co/pyannote/segmentation-3.0
+    * https://huggingface.co/pyannote/speaker-diarization-3.0
+
+    Note: To control the recognized speakers in the diarization output you can choose one of the following methods:
+
+    * For a known speakers amount, you may set speaker labels via the `speakers_labels` parameter that will be used in
+      the order of speaking in the audio (first person speaking be the first label in the list). In addition, you can do
+      diarization per channel (setting the parameter `separate_by_channels` to True). Each label will be assigned to a
+      specific channel by order (first label to channel 0, second label to channel 1 and so on). Notice, this will
+      increase runtime.
+    * For unknown speakers amount, you can set the `speaker_prefix` parameter to add a prefix for each speaker number.
+      You can also help the diarization by setting the speakers range via the `speakers_amount_range` parameter.
+
+    :param data_path:            A directory of the audio files, a single file or a list of files to transcribe.
+    :param model_name:           One of the official diarization model names (referred as diarization pipelines) of
+                                 `pyannote.audio` Huggingface page. Default: "pyannote/speaker-diarization-3.0".
+    :param access_token:         An access token to pass for using the `pyannote.audio` models. If not provided, it
+                                 will be looking for the environment variable "HUGGING_FACE_HUB_TOKEN". If MLRun is
+                                 available, it will look for a secret "HUGGING_FACE_HUB_TOKEN".
+    :param device:               Device to load the model. Can be one of {"cuda", "cpu"}. Default will prefer "cuda" if
+                                 available.
+    :param speakers_labels:      Labels to use for the recognized speakers. Default: numeric labels (0, 1, ...).
+    :param separate_by_channels: If each speaker is speaking in a separate channel, you can diarize each channel and
+                                 combine the result into a single diarization. Each label set in the `speakers_labels`
+                                 parameter will be assigned to a specific channel by order.
+    :param speaker_prefix:       A prefix to add for the speakers labels. This parameter is ignored if
+                                 `speakers_labels` is not None. Default: "speaker".
+    :param minimum_speakers:     Set the minimum expected amount of speakers to be in the audio files. This parameter is
+                                 ignored if `speakers_labels` is not None.
+    :param maximum_speakers:     Set the maximum expected amount of speakers to be in the audio files. This parameter is
+                                 ignored if `speakers_labels` is not None.
+    :param verbose:              Whether to present logs of a progress bar and errors. Default: True.
+
+    :returns: A tuple of:
+
+              * Speech diarization dictionary.
+              * A dictionary of errored files that were not transcribed.
+    """
+    global _LOGGER
+
+    # Get the input audio files to diarize:
+    if isinstance(data_path, str):
+        data_path = pathlib.Path(data_path).absolute()
+        audio_files = _get_audio_files(data_path=data_path)
+    else:  # Should be a list of files.
+        audio_files = data_path
+
+    # Get the Huggingface access token:
+    access_token = _get_access_token(parameter=access_token)
+    if access_token is None:
+        raise ValueError(
+            "A Huggingface access token must be provided to use `pyannote.audio` models. Access token can be passed "
+            "via one of the following options:\n"
+            "* Use the parameter `access_token`.\n"
+            "* Set an environment variable named 'HUGGING_FACE_HUB_TOKEN'.\n"
+            "* If using MLRun, you can pass it as a secret named 'HUGGING_FACE_HUB_TOKEN'."
+        )
+
+    # Load the diarization pipeline:
+    pipeline = pyannote.audio.Pipeline.from_pretrained(
+        checkpoint_path=model_name, use_auth_token=access_token
+    )
+
+    # Set the device:
+    device = device or ("cuda" if torch.cuda.is_available() else "cpu")
+    if device != "cpu":
+        pipeline.to(torch.device(device))
+
+    # Prepare the successes dataframe and errors dictionary to be returned:
+    diarizations = {}
+    errors = {}
+
+    # Prepare the diarization keyword arguments:
+    diarize_kwargs = {}
+    if speakers_labels:
+        diarize_kwargs["num_speakers"] = len(speakers_labels)
+    else:
+        if minimum_speakers:
+            diarize_kwargs["min_speakers"] = minimum_speakers
+        if maximum_speakers:
+            diarize_kwargs["max_speakers"] = maximum_speakers
+
+    # Go over the audio files and diarize:
+    for audio_file in tqdm(
+        audio_files, desc="Diarizing", unit="file", disable=not verbose
+    ):
+        try:
+            # Load audio file:
+            audio, sample_rate = torchaudio.load(uri=audio_file, channels_first=True)
+            # Get the diarization (if provided):
+            diarizations[audio_file.name] = _diarize(
+                audio=audio,
+                sample_rate=sample_rate,
+                pipeline=pipeline,
+                speakers_labels=speakers_labels,
+                separate_by_channels=separate_by_channels,
+                speaker_prefix=speaker_prefix,
+                diarize_kwargs=diarize_kwargs,
+            )
+        except Exception as exception:
+            # Note the exception as error in the dictionary:
+            if verbose:
+                _LOGGER.warning(f"Error in file: '{audio_file.name}'")
+            errors[str(audio_file.name)] = str(exception)
+            continue
+
+    # Print the head of the produced dataframe and return:
+    if verbose:
+        _LOGGER.info(f"Done ({len(diarizations)}/{len(audio_files)})\n")
+    return diarizations, errors
+
+
+def _get_audio_files(
+    data_path: pathlib.Path,
+) -> List[pathlib.Path]:
+    # Check if the path is of a directory or a file:
+    if data_path.is_dir():
+        # Get all files inside the directory:
+        audio_files = list(data_path.glob("*.*"))
+    elif data_path.is_file():
+        audio_files = [data_path]
+    else:
+        raise ValueError(
+            f"Unrecognized data path. The parameter `data_path` must be either a directory path or a file path. "
+            f"Given: {str(data_path)} "
+        )
+
+    return audio_files
+
+
+def _get_access_token(parameter: str) -> str:
+    # If given as a parameter, return it:
+    if parameter:
+        return parameter
+
+    # Otherwise, look at the environment variable:
+    environment_variable = os.environ.get("HUGGING_FACE_HUB_TOKEN")
+    if environment_variable:
+        return environment_variable
+
+    # Lastly, try look in the set secrets in MLRun:
+    secret = None
+    try:
+        import mlrun
+
+        context = mlrun.get_or_create_ctx(name="mlrun")
+        secret = context.get_secret(key="HUGGING_FACE_HUB_TOKEN")
+    except ModuleNotFoundError:
+        pass
+
+    return secret
+
+
+def _diarize(
+    audio: torch.Tensor,
+    sample_rate: int,
+    pipeline: pyannote.audio.Pipeline,
+    speakers_labels: List[str],
+    separate_by_channels: bool,
+    speaker_prefix: str,
+    diarize_kwargs: dict,
+) -> List[Tuple[float, float, str]]:
+    # If there is no need for separation by channels, we diarize and return:
+    if not separate_by_channels:
+        # Diarize:
+        diarization: pyannote.core.Annotation = pipeline(
+            file={"waveform": audio, "sample_rate": sample_rate}, **diarize_kwargs
+        )
+        # Verify speakers labels (should not fail here as we set `num_speakers=len(speakers_labels)` when inferring
+        # through the pipeline):
+        if speakers_labels:
+            given_speakers = len(speakers_labels)
+            found_speakers = len(set(diarization.labels()))
+            if given_speakers < found_speakers:
+                raise ValueError(
+                    f"Not enough `speakers_labels` were given. Got {given_speakers} labels but the diarization "
+                    f"recognized {found_speakers} speakers."
+                )
+        # Return as a diarization list - a sorted list of tuples of start time, end time and a label (the default label
+        # returned is "SPEAKER_i" so we take only the index out of it):
+        return [
+            (
+                segment.start,
+                segment.end,
+                speakers_labels[int(label.split("_")[1])]
+                if speakers_labels
+                else f"{speaker_prefix}{int(label.split('_')[1])}",
+            )
+            for segment, track, label in diarization.itertracks(yield_label=True)
+        ]
+
+    # Separate to channels and diarize (we expect only one speaker per channel):
+    channel_diarizations = [
+        _diarize(
+            audio=audio[channel].unsqueeze(
+                0
+            ),  # Take channel and add a channel dimension to it.
+            sample_rate=sample_rate,
+            pipeline=pipeline,
+            speakers_labels=[
+                speakers_labels[channel]
+            ],  # Take the channel's label only.
+            separate_by_channels=False,
+            speaker_prefix=speaker_prefix,
+            diarize_kwargs={"num_speakers": 1},  # Set to one speaker.
+        )
+        for channel in range(audio.shape[0])
+    ]
+
+    # Merge the channel diarizations into a single sorted list:
+    return list(heapq.merge(*channel_diarizations))
+
+        </code>
+    </pre>
+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/pyannote_audio/latest/src/function.yaml b/functions/master/pyannote_audio/latest/src/function.yaml
index 65c87f1a..30870afa 100644
--- a/functions/master/pyannote_audio/latest/src/function.yaml
+++ b/functions/master/pyannote_audio/latest/src/function.yaml
@@ -2,7 +2,7 @@ kind: job
 metadata:
   name: pyannote-audio
   tag: ''
-  hash: c45be8d7f51f0b2203155b08c307814a2cb0ac78
+  hash: aed670a0534ebf30690dd2af7acad35595c7d5b1
   project: ''
   labels:
     author: guyl
diff --git a/functions/master/pyannote_audio/latest/src/item.yaml b/functions/master/pyannote_audio/latest/src/item.yaml
index 61277b39..b69add9e 100644
--- a/functions/master/pyannote_audio/latest/src/item.yaml
+++ b/functions/master/pyannote_audio/latest/src/item.yaml
@@ -27,4 +27,4 @@ spec:
   - torchaudio
   - tqdm
 url: ''
-version: 1.1.0
+version: 1.2.0
diff --git a/functions/master/pyannote_audio/latest/static/function.html b/functions/master/pyannote_audio/latest/static/function.html
index 1d34bd5c..6b99972d 100644
--- a/functions/master/pyannote_audio/latest/static/function.html
+++ b/functions/master/pyannote_audio/latest/static/function.html
@@ -19,14 +19,14 @@
 metadata:
   name: pyannote-audio
   tag: ''
-  hash: c45be8d7f51f0b2203155b08c307814a2cb0ac78
+  hash: aed670a0534ebf30690dd2af7acad35595c7d5b1
   project: ''
   labels:
     author: guyl
   categories:
   - deep-learning
-  - Huggingface
-  - Audio
+  - huggingface
+  - audio
 spec:
   command: ''
   args: []
diff --git a/functions/master/pyannote_audio/latest/static/item.html b/functions/master/pyannote_audio/latest/static/item.html
index 2b5611bb..4756b62f 100644
--- a/functions/master/pyannote_audio/latest/static/item.html
+++ b/functions/master/pyannote_audio/latest/static/item.html
@@ -18,8 +18,8 @@
 apiVersion: v1
 categories:
 - deep-learning
-- Huggingface
-- Audio
+- huggingface
+- audio
 description: pyannote's speech diarization of audio files
 doc: ''
 example: pyannote_audio.ipynb
@@ -44,7 +44,7 @@
   - torchaudio
   - tqdm
 url: ''
-version: 1.1.0
+version: 1.2.0
 
         </code>
     </pre>
diff --git a/functions/master/question_answering/0.4.0/src/data/test-data.txt b/functions/master/question_answering/0.4.0/src/data/test-data.txt
new file mode 100644
index 00000000..efe6b646
--- /dev/null
+++ b/functions/master/question_answering/0.4.0/src/data/test-data.txt
@@ -0,0 +1 @@
+The apple color is red.
\ No newline at end of file
diff --git a/functions/master/question_answering/0.4.0/src/function.yaml b/functions/master/question_answering/0.4.0/src/function.yaml
new file mode 100644
index 00000000..7491b17e
--- /dev/null
+++ b/functions/master/question_answering/0.4.0/src/function.yaml
@@ -0,0 +1,219 @@
+kind: job
+metadata:
+  name: question-answering
+  tag: ''
+  hash: aed62db95f17576c69b457767e3595c2de1d5465
+  project: ''
+  labels:
+    author: yonish
+  categories:
+  - genai
+  - huggingface
+  - machine-learning
+spec:
+  command: ''
+  args: []
+  image: ''
+  build:
+    functionSourceCode: # Copyright 2023 Iguazio
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import enum
import logging
import operator
import pathlib
from collections import Counter
from functools import reduce, wraps
from typing import Any, Dict, List, Tuple, Union

import pandas as pd
import transformers
from tqdm import tqdm

# Get the global logger:
_LOGGER = logging.getLogger()


def _check_mlrun_and_open_mpi() -> Tuple["mlrun.MLClientCtx", "mpi4py.MPI.Intracomm"]:
    global _LOGGER

    is_mpi = False
    try:
        import mlrun

        context = mlrun.get_or_create_ctx(name="mlrun")
        _LOGGER = context.logger
        is_mpi = context.labels.get("kind", "job") == "mpijob"

        if is_mpi:
            try:
                from mpi4py import MPI

                return context, MPI.COMM_WORLD
            except ModuleNotFoundError as mpi4py_not_found:
                context.logger.error(
                    "To distribute the function using MLRun's 'mpijob' you need to have `mpi4py` package in your "
                    "interpreter. Please run `pip install mpi4py` and make sure you have open-mpi."
                )
                raise mpi4py_not_found
    except ModuleNotFoundError as module_not_found:
        if is_mpi:
            raise module_not_found
    return None, None


def open_mpi_handler(
    worker_inputs: List[str], root_worker_inputs: Dict[str, Any] = None
):
    global _LOGGER

    # Check for MLRun and OpenMPI availability:
    context, comm = _check_mlrun_and_open_mpi()

    def decorator(handler):
        if comm is None or comm.Get_size() == 1:
            return handler

        @wraps(handler)
        def wrapper(**kwargs):
            # Get the open mpi environment properties:
            size = comm.Get_size()
            rank = comm.Get_rank()

            # Give the correct chunk of the workers inputs:
            for worker_input in worker_inputs:
                input_argument = kwargs[worker_input]
                if input_argument is None:
                    continue
                if isinstance(input_argument, str):
                    input_argument = _get_text_files(
                        data_path=pathlib.Path(input_argument).absolute()
                    )
                if len(input_argument) < size:
                    raise ValueError(
                        f"Cannot split the input '{worker_input}' of length {len(input_argument)} to {size} workers. "
                        f"Please reduce the amount of workers for this input."
                    )
                even_chunk_size = len(input_argument) // size
                chunk_start = rank * even_chunk_size
                chunk_end = (
                    (rank + 1) * even_chunk_size
                    if rank + 1 < size
                    else len(input_argument)
                )
                context.logger.info(
                    f"Rank #{rank}: Processing input chunk of '{worker_input}' "
                    f"from index {chunk_start} to {chunk_end}."
                )
                if isinstance(input_argument, list):
                    input_argument = input_argument[chunk_start:chunk_end]
                elif isinstance(input_argument, pd.DataFrame):
                    input_argument = input_argument.iloc[chunk_start:chunk_end:, :]
                kwargs[worker_input] = input_argument

            # Set the root worker only arguments:
            if rank == 0 and root_worker_inputs:
                kwargs.update(root_worker_inputs)

            # Run the worker:
            output = handler(**kwargs)

            # Send the output to the root rank (rank #0):
            output = comm.gather(output, root=0)
            if rank == 0:
                # Join the outputs:
                context.logger.info("Collecting data from workers to root worker.")
                dataframe = pd.concat(objs=[df for df, _ in output], axis=0)
                errors_dictionary = reduce(operator.ior, [err for _, err in output], {})
                return dataframe, errors_dictionary
            return None

        return wrapper

    return decorator


@open_mpi_handler(worker_inputs=["data_path"], root_worker_inputs={"verbose": True})
def answer_questions(
    data_path: Union[str, List[str]],
    model_name: str,
    questions: Union[List[str], List[List[str]]],
    device_map: Union[str, dict] = None,
    model_kwargs: dict = None,
    auto_gptq_exllama_max_input_length: int = None,
    tokenizer_name: str = None,
    tokenizer_kwargs: dict = None,
    text_wrapper: Union[str, List[str]] = "",
    questions_wrapper: Union[str, List[str]] = "",
    generation_config: Union[Dict, List[Dict]] = None,
    questions_config: Union[Dict, List[Dict]] = None,
    batch_size: int = 1,
    questions_columns: List[str] = None,
    verbose: bool = False,
) -> Tuple[pd.DataFrame, dict]:
    """
    Answer questions with a context to the given text files contents by a pretrained LLM model. Each text file will have
    the following prompt built:

    start of `text_wrapper`
    <text file content>
    end of `text_wrapper`

    start of `questions_wrapper`
    1. <questions[0]>
    2. <questions[1]>
    ...
    n. <questions[n-1]>
    end of `questions_wrapper`

    :param data_path:                          A path to a directory of text files or a path to a text file to ask
                                               questions about.
    :param model_name:                         The pre-trained model name from the huggingface hub to use for asking
                                               questions.
    :param questions:                          The questions to ask.
                                               A list of lists of questions to ask per text file, and devided
                                               by question groups, the groups can be dtermained by size (in order to
                                               avoid large inputs to the llm) or by questioning method
                                               (regular or poll like questioning).
    :param device_map:                         A map to use for loading the model on multiple devices.
    :param model_kwargs:                       Keyword arguments to pass for loading the model using HuggingFace's
                                               `transformers.AutoModelForCausalLM.from_pretrained` function.
    :param auto_gptq_exllama_max_input_length: For AutoGPTQ models to set and extend the model's input buffer size.
    :param tokenizer_name:                     The tokenizer name from the huggingface hub to use. If not given, the
                                               model name will be used.
    :param tokenizer_kwargs:                   Keyword arguments to pass for loading the tokenizer using HuggingFace's
                                               `transformers.AutoTokenizer.from_pretrained` function.
    :param text_wrapper:                       A wrapper for the file's text. Will be added at the start of the prompt.
                                               Must have a placeholder ('{}') for the text of the file.
    :param questions_wrapper:                  A wrapper for the questions received. Will be added after the text
                                               wrapper in the prompt template. Must have a placeholder ('{}') for the
                                               questions.
    :param generation_config:                  HuggingFace's `GenerationConfig` keyword arguments to pass to the
                                               `generate` method.
    :param questions_config:                   A dictionary or list of dictionaries containing specific ways to answer
                                               questions (using a poll for example), each dictionary in the list is for
                                               corresponding question group and determines the question asking method
                                               for said group.
    :param batch_size:                         Batch size for inference.
    :param questions_columns:                  Columns to use for the dataframe returned.
    :param verbose:                            Whether to present logs of a progress bar and errors. Default: True.


    :returns: A tuple of:

              * A dataframe dataset of the questions answers.
              * A dictionary of errored files that were not inferred or were not answered properly.
    """
    global _LOGGER

    # Set configs to empty dict if not given:
    if generation_config is None:
        generation_config = {}
    if questions_config is None:
        questions_config = {}

    # Get the input text files to question:
    if verbose:
        _LOGGER.info("Collecting text files.")
    if isinstance(data_path, str):
        data_path = pathlib.Path(data_path).absolute()
        text_files = _get_text_files(data_path=data_path)
    else:
        text_files = data_path
    if verbose:
        _LOGGER.info(f"Collected {len(text_files)} text files.")

    # Get the prompt template:
    if verbose:
        _LOGGER.info("Creating prompt template.")

    # Organize questions as a list of list, and count number of sub-lists for future use
    number_of_question_groups = 1 if isinstance(questions[0], str) else len(questions)
    questions = _to_group_list(
        argument_value=questions,
        argument_name="questions",
        length=number_of_question_groups,
    )

    # Organize prompt parts at proper length
    text_wrapper = _to_group_list(
        argument_value=text_wrapper,
        argument_name="text_wrapper",
        length=number_of_question_groups,
    )
    questions_wrapper = _to_group_list(
        argument_value=questions_wrapper,
        argument_name="questions_wrapper",
        length=number_of_question_groups,
    )

    # Create a list of prompt according to given parts and questions
    prompt_template = []
    questions = questions if isinstance(questions[0], list) else [questions]

    # Build all prompts
    for i in range(number_of_question_groups):
        prompt_template.append(
            _get_prompt_template(
                text_wrapper=text_wrapper[i],
                questions_wrapper=questions_wrapper[i],
                questions=questions[i],
            )
        )
    if verbose:
        _LOGGER.info(f"Prompt template created:\n\n{prompt_template}\n")

    # Get the total amount of questions:
    questions_amount = sum([len(sublist) for sublist in questions])

    # Get the questions columns:
    questions_columns = questions_columns or [
        f"q{i}" for i in range(1, questions_amount + 1)
    ]

    # Check if we have the correct amount of questions columns:
    if len(questions_columns) != questions_amount:
        raise ValueError(
            f"The provided questions columns length ({len(questions_columns)}) "
            f"does not match the questions amount ({questions_amount})"
        )

    # Load the generation config:
    if verbose:
        _LOGGER.info("Loading generation configuration.")
    generation_config = [
        transformers.GenerationConfig(**(cfg or {}))
        for cfg in _to_group_list(
            argument_value=generation_config,
            argument_name="generation_config",
            length=number_of_question_groups,
        )
    ]
    if verbose:
        _LOGGER.info(f"Generation configuration loaded: {generation_config}")

    # Load the model and tokenizer into a pipeline object:
    if verbose:
        _LOGGER.info(f"Loading model '{model_name}'.")
    generation_pipeline = _get_generation_pipeline(
        model_name=model_name,
        device_map=device_map,
        tokenizer_name=tokenizer_name or model_name,
        model_kwargs=model_kwargs or {},
        tokenizer_kwargs=tokenizer_kwargs or {},
        auto_gptq_exllama_max_input_length=auto_gptq_exllama_max_input_length,
        batch_size=batch_size,
    )
    if verbose:
        _LOGGER.info("Model loaded.")

    # Prepare the successes dataframe and errors dictionary to be returned:
    successes = []
    errors = {}

    # Split the files into batches:
    file_batches = [
        text_files[i : i + batch_size]
        if i + batch_size < len(text_files)
        else text_files[i:]
        for i in range(0, len(text_files), batch_size)
    ]
    questions_config = _to_group_list(
        argument_value=questions_config,
        argument_name="questions_config",
        length=number_of_question_groups,
    )

    # Create a list of question handlers according to given configs
    handlers = []
    for cfg in questions_config:
        question_type = cfg.pop("type", "default")
        handlers.append(QUESTION_MAPPING.get(question_type)(**cfg))

    # Go over the batches of text files and question them:
    for file_batch in tqdm(
        file_batches,
        desc="Generating answers",
        unit=f"file (batch of {batch_size})",
        disable=not verbose,
    ):
        try:
            total_answers = [[] for _ in range(batch_size)]

            # Go over all question group per batch of documents
            for question_group in range(number_of_question_groups):
                current_questions_amount = len(questions[question_group])

                # Read batch (read the text from the text files):
                batched_input = _read_file_batch(
                    file_batch=file_batch,
                    prompt_template=prompt_template[question_group],
                )

                # Answer the questions with each question handler:
                batched_answers = handlers[question_group].answer(
                    questions_amount=current_questions_amount,
                    batched_input=batched_input,
                    generation_pipeline=generation_pipeline,
                    generation_config=generation_config[question_group],
                )

                # Put the answers in the correct place in the total answers list according to the place in the batch:
                for i in range(batch_size):
                    total_answers[i].extend(batched_answers[i])

            # Collect the answers and attach the file name:
            successes.extend(
                [
                    [file.name, *answers]
                    for file, answers in zip(file_batch, total_answers)
                ]
            )
        except Exception as exception:
            # Note the exception as error in the dictionary:
            batch_file_names = ", ".join([file.name for file in file_batch])
            if verbose:
                _LOGGER.warning(
                    f"Error in batch '{batch_file_names}': {str(exception)}"
                )
            errors[batch_file_names] = str(exception)
            continue

    # Construct the answers dataframe:
    columns = [
        "text_file",
        *questions_columns,
    ]

    # Create a data frame of answers by files
    successes = pd.DataFrame(
        successes,
        columns=columns,
    )

    # Print the head of the produced dataframe and return:
    if verbose:
        _LOGGER.info(
            f"Done ({successes.shape[0]}/{len(text_files)})\n"
            f"Answers summary:\n"
            f"{successes.head()}"
        )
    return successes, errors


def _get_text_files(
    data_path: pathlib.Path,
) -> List[pathlib.Path]:

    # Check if the path is of a directory or a file:
    if data_path.is_dir():

        # Get all files inside the directory:
        text_files = list(data_path.glob("*.*"))
    elif data_path.is_file():
        text_files = [data_path]
    else:
        raise ValueError(
            f"Unrecognized data path. The parameter `data_path` must be either a directory path or a file path. "
            f"Given: {str(data_path)} "
        )

    return text_files


def _get_prompt_template(
    text_wrapper: str,
    questions_wrapper: str,
    questions: List[str],
) -> str:

    # Validate and build the text wrapper:
    text_wrapper = text_wrapper or (
        "Given the following text:\n" "-----\n" "{}\n" "-----"
    )
    if text_wrapper.count("{}") != 1:
        raise ValueError(
            "The `text_wrapper` must include one placeholder '{}' for the text of the file to be asked about."
        )

    # Validate and build the question wrapper:
    questions_wrapper = questions_wrapper or "Answer the questions:\n" "{}"
    if questions_wrapper.count("{}") != 1:
        raise ValueError(
            "The `questions_wrapper` must include one placeholder '{}' for the list of questions."
        )

    # Validate and parse the questions:
    if len(questions) == 0:
        raise ValueError("Please include at least one question.")
    questions = "\n".join(
        [f"{i}. {question}" for i, question in enumerate(questions, 1)]
    )

    # Construct the template:
    return f"{text_wrapper}\n{questions_wrapper.format(questions)}\n"


def _get_generation_pipeline(
    model_name: str,
    device_map: Union[str, dict],
    tokenizer_name: str,
    model_kwargs: dict,
    tokenizer_kwargs: dict,
    auto_gptq_exllama_max_input_length: int = None,
    batch_size: int = 1,
):
    # Load the model:
    model = transformers.AutoModelForCausalLM.from_pretrained(
        model_name, device_map=device_map, **model_kwargs
    )

    # Set exllama max input length if provided:
    # This changes the model's context size.
    if auto_gptq_exllama_max_input_length:
        from auto_gptq import exllama_set_max_input_length

        model = exllama_set_max_input_length(
            model=model, max_input_length=auto_gptq_exllama_max_input_length
        )

    # Load the tokenizer:
    tokenizer = transformers.AutoTokenizer.from_pretrained(
        tokenizer_name, **tokenizer_kwargs
    )

    # Initialize a generation pipline and return:
    pipe = transformers.pipeline(
        task="text-generation",
        model=model,
        tokenizer=tokenizer,
        batch_size=batch_size,
    )
    pipe.tokenizer.pad_token_id = model.config.eos_token_id
    return pipe


def _read_file_batch(
    file_batch: List[pathlib.Path],
    prompt_template: str,
) -> List[str]:
    batch = []

    # Go over all files and read in usable format
    for file in file_batch:
        with open(file, "r", encoding="utf-8") as fp:
            batch.append(prompt_template.format(fp.read()))
    return batch


def _to_group_list(argument_value: list, argument_name: str, length: int):

    # Check if is list, turn to list if not
    argument_value = (
        argument_value if isinstance(argument_value, list) else [argument_value]
    )
    list_len = len(argument_value)

    # If not a list, or is a list of len 1 we duplicate for correct length
    # If list in wrong length throw an error
    if list_len != length:
        if list_len == 1:
            return argument_value * length
        raise ValueError(
            f"The argument value of '{argument_name}' is not equal to the length of the given questions - {length}"
        )
    return argument_value


class QuestionHandler:
    """
    A class for handling questions answering for a given question type.
    This class is used as a base class for all question types, and for default question type (regular question
    answering without any special handling).
    """

    class ConfigKeys:
        pass

    def __init__(self):
        pass

    @staticmethod
    def _get_answers(generated_text: str, questions_amount: int) -> List[str]:

        # Clear answer start (part before numbers):
        # TODO find better way to verify, for list of questions this is redundant for example
        if "1." not in generated_text:
            raise ValueError(
                f"Answer 1. is missing from the generated text: '{generated_text}'"
            )
        text = generated_text.split("1.", 1)[1]

        # Start extracting the answers:
        answers = []
        for i in range(1, questions_amount + 1):
            # If it's the last answer to look for, take the rest of the text:
            if i == questions_amount:
                answer_i = text
            # Verify there is a question number in the text:
            elif f"{i + 1}." not in text:
                raise ValueError(
                    f"Answer {i + 1}. is missing from the generated text: '{generated_text}'"
                )
            # Take i's answer:
            else:
                answer_i, text = text.split(f"{i + 1}.", 1)
            # Collect the answer removing redundant spaces:
            answers.append(answer_i.strip())

        return answers

    def _infer_questions(
        self,
        questions_amount: int,
        batched_input: List[str],
        generation_pipeline: transformers.Pipeline,
        generation_config: transformers.GenerationConfig,
    ) -> List[List[str]]:

        # Infer through the llm:
        batched_output = generation_pipeline(
            batched_input,
            generation_config=generation_config,
            eos_token_id=generation_pipeline.tokenizer.eos_token_id,
            return_full_text=False,
            num_return_sequences=1,
        )

        # Process the outputs to get the answers:
        batched_answers = []
        for output in batched_output:
            # Get the generated answers:
            answers = self._get_answers(
                generated_text=output[0]["generated_text"],
                questions_amount=questions_amount,
            )
            # Collect the processed answers:
            batched_answers.append(answers)
        return batched_answers

    def answer(
        self,
        questions_amount: int,
        batched_input: List[str],
        generation_pipeline: transformers.Pipeline,
        generation_config: transformers.GenerationConfig,
    ) -> List[List[str]]:
        """
        Answer questions with a context to the given text files contents by a pretrained LLM model in given pipeline.
        """
        return self._infer_questions(
            questions_amount=questions_amount,
            batched_input=batched_input,
            generation_pipeline=generation_pipeline,
            generation_config=generation_config,
        )


class PollQuestionHandler(QuestionHandler):
    """
    Static class to hold all the possible poll question configurations options keys
    """

    class ConfigKeys:
        """
        A class for handling questions answering for poll type questions.
        These type of question are answered by asking the same question multiple times
        and choosing the most common answer or the average answer.
        """

        #: The number of times to ask the same question.
        POLL_COUNT = "poll_count"

        #: The strategy to use for choosing the answer from the poll.
        POLL_STRATEGY = "poll_strategy"

    class Strategy(enum.Enum):
        #: The most common answer strategy.
        MOST_COMMON = "most_common"

        #: The average answer strategy.
        AVERAGE = "average"

        @staticmethod
        def most_common(answers):
            """
            Calculate the most common answer for a given list of answers.
            """
            count = Counter(answers)
            most_common = count.most_common(1)
            return most_common[0][0]

        @staticmethod
        def average(answers):
            """
            Calculate the average answer for a given list of answers.
            """
            if isinstance(answers[0], str):
                raise ValueError(
                    "Cannot perform poll with average answer strategy of non numeric values,"
                    " please change the question to give numeric data, or choose 'most_common' as strategy."
                )
            else:
                numeric_values = answers
            avg = sum(numeric_values) / len(numeric_values)

            # Round to the closest integer and return corresponding value
            return round(avg)

        def do(self, answers):
            """
            Perform the strategy.
            """
            return getattr(self, self.value)(answers)

    def __init__(
        self, poll_count: int = 5, poll_strategy: str = "most_common"):
        super().__init__()
        self.poll_count = poll_count
        self.poll_strategy = self.Strategy(poll_strategy)

    def answer(
        self,
        questions_amount: int,
        batched_input: List[str],
        generation_pipeline: transformers.Pipeline,
        generation_config: transformers.GenerationConfig,
    ) -> List[List[str]]:
        """
        Answer questions with a context to the given text files contents by a pretrained LLM model in given pipeline.
        """
        return self._answer_poll_questions(
            questions_amount=questions_amount,
            batched_input=batched_input,
            generation_pipeline=generation_pipeline,
            generation_config=generation_config,
        )

    def _answer_poll_questions(
        self,
        questions_amount: int,
        batched_input: List[str],
        generation_pipeline: transformers.Pipeline,
        generation_config: transformers.GenerationConfig,
    ) -> List[List[str]]:
        votes = []

        # Run the poll for each question
        for _ in range(self.poll_count):
            batched_answers = self._infer_questions(
                questions_amount=questions_amount,
                batched_input=batched_input,
                generation_pipeline=generation_pipeline,
                generation_config=generation_config,
            )
            votes.append(batched_answers)
        answers = []

        # Collect the answers according to the poll strategy
        # Average strategy works for numeric values only
        for batch in range(len(votes[0])):
            batched_answers = []
            for question in range(questions_amount):
                # Create a list of all answers to relevant question
                answer = [
                    votes[voter][batch][question] for voter in range(self.poll_count)
                ]
                answer = self.poll_strategy.do(answer)
                batched_answers.append(answer)
            answers.append(batched_answers)
        return answers


# Holds names of QuestionHandles
class QuestionTypes:
    DEFAULT = "default"
    POLL = "poll"


# Maps question types to their handlers
QUESTION_MAPPING = {
    QuestionTypes.DEFAULT: QuestionHandler,
    QuestionTypes.POLL: PollQuestionHandler,
}

+    base_image: mlrun/mlrun
+    commands: []
+    code_origin: ''
+    origin_filename: ''
+    requirements:
+    - transformers
+    - torch
+    - tqdm
+  entry_points:
+    open_mpi_handler:
+      name: open_mpi_handler
+      doc: ''
+      parameters:
+      - name: worker_inputs
+        type: List[str]
+      - name: root_worker_inputs
+        type: Dict[str, Any]
+        default: null
+      outputs: []
+      lineno: 58
+      has_varargs: false
+      has_kwargs: false
+    decorator:
+      name: decorator
+      doc: ''
+      parameters:
+      - name: handler
+      outputs: []
+      lineno: 66
+      has_varargs: false
+      has_kwargs: false
+    wrapper:
+      name: wrapper
+      doc: ''
+      parameters: []
+      outputs: []
+      lineno: 71
+      has_varargs: false
+      has_kwargs: true
+    answer_questions:
+      name: answer_questions
+      doc: 'Answer questions with a context to the given text files contents by a
+        pretrained LLM model. Each text file will have
+
+        the following prompt built:
+
+
+        start of `text_wrapper`
+
+        <text file content>
+
+        end of `text_wrapper`
+
+
+        start of `questions_wrapper`
+
+        1. <questions[0]>
+
+        2. <questions[1]>
+
+        ...
+
+        n. <questions[n-1]>
+
+        end of `questions_wrapper`'
+      parameters:
+      - name: data_path
+        type: Union[str, List[str]]
+        doc: A path to a directory of text files or a path to a text file to ask questions
+          about.
+      - name: model_name
+        type: str
+        doc: The pre-trained model name from the huggingface hub to use for asking
+          questions.
+      - name: questions
+        type: Union[List[str], List[List[str]]]
+        doc: The questions to ask. A list of lists of questions to ask per text file,
+          and devided by question groups, the groups can be dtermained by size (in
+          order to avoid large inputs to the llm) or by questioning method (regular
+          or poll like questioning).
+      - name: device_map
+        type: Union[str, dict]
+        doc: A map to use for loading the model on multiple devices.
+        default: null
+      - name: model_kwargs
+        type: dict
+        doc: Keyword arguments to pass for loading the model using HuggingFace's `transformers.AutoModelForCausalLM.from_pretrained`
+          function.
+        default: null
+      - name: auto_gptq_exllama_max_input_length
+        type: int
+        doc: For AutoGPTQ models to set and extend the model's input buffer size.
+        default: null
+      - name: tokenizer_name
+        type: str
+        doc: The tokenizer name from the huggingface hub to use. If not given, the
+          model name will be used.
+        default: null
+      - name: tokenizer_kwargs
+        type: dict
+        doc: Keyword arguments to pass for loading the tokenizer using HuggingFace's
+          `transformers.AutoTokenizer.from_pretrained` function.
+        default: null
+      - name: text_wrapper
+        type: Union[str, List[str]]
+        doc: A wrapper for the file's text. Will be added at the start of the prompt.
+          Must have a placeholder ('{}') for the text of the file.
+        default: ''
+      - name: questions_wrapper
+        type: Union[str, List[str]]
+        doc: A wrapper for the questions received. Will be added after the text wrapper
+          in the prompt template. Must have a placeholder ('{}') for the questions.
+        default: ''
+      - name: generation_config
+        type: Union[Dict, List[Dict]]
+        doc: HuggingFace's `GenerationConfig` keyword arguments to pass to the `generate`
+          method.
+        default: null
+      - name: questions_config
+        type: Union[Dict, List[Dict]]
+        doc: A dictionary or list of dictionaries containing specific ways to answer
+          questions (using a poll for example), each dictionary in the list is for
+          corresponding question group and determines the question asking method for
+          said group.
+        default: null
+      - name: batch_size
+        type: int
+        doc: Batch size for inference.
+        default: 1
+      - name: questions_columns
+        type: List[str]
+        doc: Columns to use for the dataframe returned.
+        default: null
+      - name: verbose
+        type: bool
+        doc: 'Whether to present logs of a progress bar and errors. Default: True.'
+        default: false
+      outputs:
+      - doc: 'A tuple of:'
+        type: Tuple[pd.DataFrame, dict]
+      lineno: 130
+      has_varargs: false
+      has_kwargs: false
+    answer:
+      name: answer
+      doc: Answer questions with a context to the given text files contents by a pretrained
+        LLM model in given pipeline.
+      parameters:
+      - name: self
+      - name: questions_amount
+        type: int
+      - name: batched_input
+        type: List[str]
+      - name: generation_pipeline
+        type: Pipeline
+      - name: generation_config
+        type: GenerationConfig
+      outputs:
+      - type: List[List[str]]
+      lineno: 674
+      has_varargs: false
+      has_kwargs: false
+    most_common:
+      name: most_common
+      doc: Calculate the most common answer for a given list of answers.
+      parameters:
+      - name: answers
+      outputs: []
+      lineno: 637
+      has_varargs: false
+      has_kwargs: false
+    average:
+      name: average
+      doc: Calculate the average answer for a given list of answers.
+      parameters:
+      - name: answers
+      outputs: []
+      lineno: 646
+      has_varargs: false
+      has_kwargs: false
+    do:
+      name: do
+      doc: Perform the strategy.
+      parameters:
+      - name: self
+      - name: answers
+      outputs: []
+      lineno: 662
+      has_varargs: false
+      has_kwargs: false
+  description: GenAI approach of question answering on a given data
+  default_handler: answer_questions
+  disable_auto_mount: false
+  clone_target_dir: ''
+  env: []
+  priority_class_name: ''
+  preemption_mode: prevent
+  affinity: null
+  tolerations: null
+  security_context: {}
+verbose: false
diff --git a/functions/master/question_answering/0.4.0/src/item.yaml b/functions/master/question_answering/0.4.0/src/item.yaml
new file mode 100755
index 00000000..56fc5a5e
--- /dev/null
+++ b/functions/master/question_answering/0.4.0/src/item.yaml
@@ -0,0 +1,29 @@
+apiVersion: v1
+categories:
+- genai
+- huggingface
+- machine-learning
+description: GenAI approach of question answering on a given data
+doc: ''
+example: question_answering.ipynb
+generationDate: 2023-08-07:11-30
+hidden: false
+icon: ''
+labels:
+  author: yonish
+maintainers: []
+marketplaceType: ''
+mlrunVersion: 1.5.2
+name: question_answering
+platformVersion: 3.5.0
+spec:
+  filename: question_answering.py
+  handler: answer_questions
+  image: mlrun/mlrun
+  kind: job
+  requirements:
+    - transformers
+    - torch
+    - tqdm
+url: ''
+version: 0.4.0
diff --git a/functions/master/question_answering/0.4.0/src/question_answering.ipynb b/functions/master/question_answering/0.4.0/src/question_answering.ipynb
new file mode 100644
index 00000000..7c506688
--- /dev/null
+++ b/functions/master/question_answering/0.4.0/src/question_answering.ipynb
@@ -0,0 +1,903 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "75860292-80d3-4dfb-89e4-66579321c78b",
+   "metadata": {},
+   "source": [
+    "# Question Answering"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4593a39d-6e91-4f92-9e7e-09dcd7dbcab7",
+   "metadata": {},
+   "source": [
+    "## Short description and explenation"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "14dc0595-8b8a-4a13-b6a7-2a1bc43d8d50",
+   "metadata": {},
+   "source": [
+    "This function enables ad-hoc question answering over documents by ingesting text into a language model and returning formatted responses.<br>\n",
+    "It accepts:<br>\n",
+    "\n",
+    "* A language model<br>\n",
+    "* Text files with content<br>\n",
+    "* Questions to answer<br>\n",
+    "* More inputs can be given for configuration <br>\n",
+    "\n",
+    "The model processes the files to build understanding. Questions posed are then answered in one of two modes:\n",
+    "\n",
+    "Default mode: <br>\n",
+    "The model directly answers each question using its own capabilities.\n",
+    "\n",
+    "Poll mode: <br>\n",
+    "Additional models are included to separately answer each question. An aggregation algorithm determines the best response through consensus between models.<br>\n",
+    "Two options exist for consensus methodology:<br>\n",
+    "\n",
+    "Average Answer: <br>\n",
+    "Each model's answer is scored. The response with the average highest score amongst models is selected. Useful for numeric or ranked responses.\n",
+    "\n",
+    "Most Common Answer:<br> The answer that occurs most frequently across models is selected. Useful for textual responses to avoid outliers.\n",
+    "\n",
+    "Using multiple models via the poll mode provides accuracy improvements for questions lacking definitive answers, as it refines responses through an ensemble process. <br>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ae957ac3-2c26-4a0b-8e44-8315caeb2953",
+   "metadata": {},
+   "source": [
+    "## Background"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3a351565-6f2c-4fa3-a024-4b5d658db311",
+   "metadata": {},
+   "source": [
+    "At the core, advanced natural language processing (NLP) models called foundation models are being leveraged to read and comprehend the input text files. <br>\n",
+    "Specifically, models such as GPT-3 or Codex from Anthropic are used as the base language model.\n",
+    "\n",
+    "When documents are fed into the function, the background process invokes these models to ingest and digest the information.<br>\n",
+    "\n",
+    "This provides the knowledge base for the models to then offer informed answers tailored to any queries about the documents.<br>\n",
+    "The parameters controlling model size and computation time provide tradeoffs between cost, speed, and sophistication of comprehension.\n",
+    "\n",
+    "Additionally, the poll option expands on a single model by sampling responses from a number of models as mentioned above. <br>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a6fc4aaa-530a-4e9e-8447-737a0cfd6ed5",
+   "metadata": {},
+   "source": [
+    "## Requirements"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "685d9000-37e1-462b-93c8-1bbfcdf6aaa1",
+   "metadata": {},
+   "source": [
+    "`transformers` <br>\n",
+    "`torch` <br>\n",
+    "`tqdm` <br>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "73d9b369-1c36-42e8-b106-491ad911f281",
+   "metadata": {},
+   "source": [
+    "## Documentation"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "68e3a54d-0cd9-4845-ae14-f24068052bf3",
+   "metadata": {},
+   "source": [
+    "`data_path`:  A path to a directory of text files or a path to a text file to ask questions about. <br>\n",
+    "\n",
+    "`model_name`: The pre-trained model name from the huggingface hub to use for answering questions. <br>\n",
+    "\n",
+    "`questions`: The questions to ask. A list of lists of questions to ask per text file, and devided <br>\n",
+    "             by question groups, the groups can be determained by size (in order to <br>\n",
+    "             avoid large inputs to the llm) or by questioning method (regular or poll like questioning). <br>\n",
+    "             \n",
+    "`device_map`: A map to use for loading the model on multiple devices. <br>\n",
+    "\n",
+    "`model_kwargs`: Keyword arguments to pass for loading the model using HuggingFace's <br>\n",
+    "                _transformers.AutoModelForCausalLM.from_pretrained_ function. <br>\n",
+    "                                           \n",
+    "`auto_gptq_exllama_max_input_length`: For AutoGPTQ models to set and extend the model's input buffer size. <br>\n",
+    "\n",
+    "`tokenizer_name`: The tokenizer name from the huggingface hub to use. If not given, the given model name will be used. <br>\n",
+    "                                           \n",
+    "`tokenizer_kwargs`: Keyword arguments to pass for loading the tokenizer using HuggingFace's <br>\n",
+    "                    _transformers.AutoTokenizer.from_pretrained_ function. <br>\n",
+    "                                           \n",
+    "`text_wrapper`: Must have a placeholder ('{}') for the text of the file. <br>\n",
+    "\n",
+    "`questions_wrapper`: A wrapper for the questions received. Will be added after the text wrapper in the prompt template. <br>\n",
+    "                     Must have a placeholder ('{}') for the questions. <br>\n",
+    "                                           \n",
+    "`generation_config`: HuggingFace's _GenerationConfig_ keyword arguments to pass to the _generate_ method. <br>\n",
+    "                                           \n",
+    "`questions_config`: A dictionary or list of dictionaries containing specific ways to answer questions (using a poll for example), <br>\n",
+    "                    each dictionary in the list is for corresponding question group and determines the question asking method <br>\n",
+    "                    for said group. <br>\n",
+    "                                           \n",
+    "`batch_size`: Batch size for inference. <br>\n",
+    "\n",
+    "`questions_columns`: Columns to use for the dataframe returned. <br>\n",
+    "\n",
+    "`verbose`: Whether to present logs of a progress bar and errors. Default: True. <br>\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "716e5fac-3def-4cdd-8ca5-d1c93ee64f2e",
+   "metadata": {},
+   "source": [
+    "## Demo 1"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3bf4bc9b-fc5e-4155-8563-0575c22cef05",
+   "metadata": {},
+   "source": [
+    "This is a short and simple example to show the basic use of the function."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c95dcfdb-22e1-4b82-b0a3-9c89487a216f",
+   "metadata": {},
+   "source": [
+    "### (1.) Import the function (import mlrun, set project and import function)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "60161e5f-468c-47c9-be98-e6554b899c9c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import mlrun\n",
+    "import transformers\n",
+    "import tempfile"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1267b60b-35d1-48bf-8ea0-dfe7a5f366e7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "project = mlrun.get_or_create_project(\n",
+    "    name=\"call-center-demo-1\",\n",
+    "    context=\"./\",\n",
+    "    user_project=True,\n",
+    "    parameters={\n",
+    "        \"default_image\": \"mlrun/mlrun\",\n",
+    "    })"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "05c8b39b-433c-40b8-9260-94923c9cbb6c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "func = project.set_function(\n",
+    "    \"question-answering.py\",\n",
+    "    name=\"question-answering\",\n",
+    "    kind=\"job\",\n",
+    "    handler=\"answer_questions\",\n",
+    ")\n",
+    "project.save()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b9744a13-6530-4aa0-a30c-a88db94ce853",
+   "metadata": {},
+   "source": [
+    "We create a text file that the model can be asked about"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "503b874a-0c64-4a66-9b30-fe99191b5fd3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def _make_data_dir_for_test():\n",
+    "    data_dir = tempfile.mkdtemp()\n",
+    "    # The information the model will need in order to answer our question\n",
+    "    content = \"The apple is red.\"\n",
+    "    with open(data_dir + \"/test_data.txt\", \"w\") as f:\n",
+    "        f.write(content)\n",
+    "    return data_dir"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7fadd06e-210b-45aa-b7ea-686058b6e7f4",
+   "metadata": {},
+   "source": [
+    "### (2.) Usage\n",
+    "Then we set where to take the path to the text file we want to ask about, the questions, and column name for the answer table."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5a634b19-d809-4436-bbdd-469fc1d61c6e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "input_path = _make_data_dir_for_test()\n",
+    "# The question for the model to answer\n",
+    "question = [\"What is the color of the apple?\"]\n",
+    "# The column of the answer in the data frame returned by the function\n",
+    "column_name = [\"color\"]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0364ce68-079e-4769-89b6-661fcdc1d475",
+   "metadata": {},
+   "source": [
+    "Now we run the function with all the parameters we prepered earlier"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "448bada9-8b52-4175-9839-ecb409ab3e35",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "demo1_run = func.run(\n",
+    "    handler=\"answer_questions\",\n",
+    "    params={\n",
+    "        \"model\": \"distilgpt2\",\n",
+    "        \"input_path\": input_path,\n",
+    "        \"questions\": question,\n",
+    "        \"questions_columns\": column_name,\n",
+    "        \"generation_config\": {\n",
+    "            \"do_sample\": True,\n",
+    "            \"temperature\": 0.8,\n",
+    "            \"top_p\": 0.9,\n",
+    "            \"early_stopping\": True,\n",
+    "            \"max_new_tokens\": 20,\n",
+    "        },\n",
+    "    },\n",
+    "    returns=[\n",
+    "        \"question_answering_df: dataset\",\n",
+    "        \"question_answering_errors: result\",\n",
+    "    ],\n",
+    "    local=True,\n",
+    "    artifact_path=\"./\"\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "474505db-2fc8-48fd-a634-2bada802a449",
+   "metadata": {},
+   "source": [
+    "### (3.) Review results\n",
+    "and after the run is finished we can take a look and see our answer"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4560b51d-5f96-465d-9826-e88c7d4d46aa",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "demo1_run.outputs"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "31a401a5-2f8a-427f-bf62-2f31f94f5ee7",
+   "metadata": {},
+   "source": [
+    "## Demo 2"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "503b8a40-ad61-445f-900b-4fdaa036e417",
+   "metadata": {},
+   "source": [
+    "This is a much larger example, we will show how we use this function to analyze a number of calls between agents and customer of a internet company (all the data is generated by Iguazio). <br>\n",
+    "For something like this, we recomend using a strong model, and putting some time into making the prompts."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "759c521b-df3d-498f-8642-863182107618",
+   "metadata": {},
+   "source": [
+    "### (1.) Import the function (import mlrun, set project and import function)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "bde6a480-a3d9-4b8c-a9c0-daa235f0f0c4",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "> 2023-12-18 10:18:37,490 [warning] Client version with higher version than server version isn't supported, align your client to the server version: {'parsed_server_version': Version(major=1, minor=5, patch=2, prerelease='rc1', build='track'), 'parsed_client_version': Version(major=1, minor=6, patch=0, prerelease='rc11', build=None)}\n"
+     ]
+    }
+   ],
+   "source": [
+    "import os\n",
+    "import mlrun\n",
+    "import torch\n",
+    "from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig, pipeline"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "187a4643-53e9-40bb-a337-5096df7946d6",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "> 2023-12-18 10:18:51,651 [info] Project loaded successfully: {'project_name': 'call-center-demo-zeev55'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "project = mlrun.get_or_create_project(\n",
+    "    name=\"call-center-demo-2\",\n",
+    "    context=\"./\",\n",
+    "    user_project=True,\n",
+    "    parameters={\n",
+    "        \"default_image\": \"mlrun/mlrun\",\n",
+    "    })\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "17eb7783-9ced-482b-9bdf-c41e55995faf",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<mlrun.projects.project.MlrunProject at 0x7f8bc5b0a370>"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "func = project.set_function(\n",
+    "    \"question-answering.py\",\n",
+    "    name=\"question-answering\",\n",
+    "    kind=\"job\",\n",
+    "    handler=\"answer_questions\",\n",
+    ")\n",
+    "project.save()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "91d3ebb2-7d4a-4e52-89ed-45287c06eb76",
+   "metadata": {},
+   "source": [
+    "### (2.) Usage\n",
+    "\n",
+    "This example is a bit more complicated as we mentioned, we give the model a list of questions, for some of them we give the model a list of answers to choose from."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "2bc065e4-2dbf-4d7a-9772-6b7039f428bc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "QUESTIONS = [\n",
+    "    \"1. Write a long summary of the text, focus on the topic (max 50 words).\",\n",
+    "    \"2. Was the Client's concern addressed, (choose only one) [Yes, No]?\",\n",
+    "    ]\n",
+    "\n",
+    "qa_questions_columns = [\n",
+    "                        \"Summary\",\n",
+    "                        \"is_fixed\",\n",
+    "                        ]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "aa89f316-0d1b-4ada-9990-d2293546eee3",
+   "metadata": {},
+   "source": [
+    "Another thing we give the model this time is answer examples (one/few shot answering), this can be done to show the model how you want the answer to be structured or caculated. <br>\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bbc093ad-dab4-46a1-b36a-2a7551cef018",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# For every file we ask about, the model will be presented with this example of a call and how we want the answers.\n",
+    "DEMO_CALL = (\n",
+    "    \"Agent: Good afternoon, you've reached [Internet Service Provider] customer support. I'm Megan. How can I assist \"\n",
+    "    \"you today?\\n\"\n",
+    "    \"Customer: Hello, Megan. This is Lisa. I've noticed some billing discrepancies on my last statement.\\n\"\n",
+    "    \"Agent: Thank you, Lisa. Let me pull up your account. I see the billing discrepancies you mentioned. It appears \"\n",
+    "    \"there was an error in the charges. I apologize for the inconvenience.\\n\"\n",
+    "    \"Customer: Thank you for acknowledging the issue, Megan. Can you please help me get it resolved?\\n\"\n",
+    "    \"Agent: Absolutely, Lisa. I've made note of the discrepancies, and I'll escalate this to our billing department \"\n",
+    "    \"for investigation and correction. You should see the adjustments on your next statement.\\n\"\n",
+    "    \"Customer: That sounds good, Megan. I appreciate your help.\\n\"\n",
+    "    \"Agent: Not a problem, Lisa. Have a wonderful day, and we'll get this sorted out for you.\\n\"\n",
+    ")\n",
+    "\n",
+    "DEMO_ANSWERS = (\n",
+    "    \"1. The customer, contacted the call center regarding billing discrepancies on her statement. The agent, \"\n",
+    "    \"acknowledged the issue, assured The customer it would be resolved, and escalated it to the billing department for \"\n",
+    "    \"correction.\\n\"\n",
+    "    \"2. Yes.\\n\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8b44ded3-fee3-4911-a02a-6a51a62a7020",
+   "metadata": {},
+   "source": [
+    "Then we need to wrap it all nicely to be given to the model as a single prompt, this is done with a text wrapper, and a question wrapper. <br>\n",
+    "both of them will be concatenated inside the function with the questions and passed to the model."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2108f5aa-75a6-402d-83a6-bf45f0d7223a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# The wrappers are built according to the model's convensions to improve result\n",
+    "TEXT_WRAPPER = (\n",
+    "    f\"<|im_start|>system: You are an AI assistant that answers questions accurately and shortly<|im_end|>\\n\"\n",
+    "    f\"<|im_start|>user: Given the following text:\\n\"\n",
+    "    f\"{DEMO_CALL}\\n\"\n",
+    "    f\"answer the questions as accurately as you can:\\n\"\n",
+    "    f\"{QUESTIONS}<|im_end|>\\n\"\n",
+    "    f\"<|im_start|>assistant:\\n\"\n",
+    "    f\"{DEMO_ANSWERS}<|im_end|>\\n\"\n",
+    "    f\"<|im_start|>user: Given the following text:\\n\"\n",
+    "    \"{}\"\n",
+    ") \n",
+    "QUESTIONS_WRAPPER = (\n",
+    "    \" answer the given questions as accurately as you can, do not write more answers the questions:\\n\"\n",
+    "    \"{}<|im_end|>\\n\"\n",
+    "    \"<|im_start|>assistant:\\n\"\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1a44b391-87d2-447d-aafa-66ed45f06ba5",
+   "metadata": {},
+   "source": [
+    "The last few parameters we need to set are the model we will use, the input lenth (no available for all models) and the batch size. <br>\n",
+    "The batch size determains how many files we want procced at each epoch, and the larger we go the faster the proccess will be, as long as our memory is sufficient. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "528cae4c-541b-49a3-b24d-deb94f7130fb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# We like this version of mistral's model, which is small and fast but also gives great results\n",
+    "qa_model = \"TheBloke/Mistral-7B-OpenOrca-GPTQ\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "47fa4eaa-f3b0-457f-b98a-18a8ee5ba4d8",
+   "metadata": {},
+   "source": [
+    "Finnaly, we run the function with all the parameters we prepared. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3d200706-e852-4ce9-9b9a-61686b30e5b7",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# Question answering:\n",
+    "demo2_run = func.run(\n",
+    "    function=\"question-answering\",\n",
+    "    local=True,\n",
+    "    handler=\"answer_questions\",\n",
+    "    inputs={\"data_path\": os.path.abspath(\"./calls\")},\n",
+    "    params={\n",
+    "        \"model_name\": qa_model,\n",
+    "        \"device_map\": \"auto\",\n",
+    "        \"text_wrapper\":TEXT_WRAPPER,\n",
+    "        \"questions\": QUESTIONS,\n",
+    "        \"questions_wrapper\": QUESTIONS_WRAPPER,\n",
+    "        \"questions_columns\": qa_questions_columns,\n",
+    "    },\n",
+    "    returns=[\n",
+    "        \"question_answering_df: dataset\",\n",
+    "        \"question_answering_errors: result\",\n",
+    "    ],\n",
+    ")\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0d505915-49b5-47fb-9f50-ce15fe6dc392",
+   "metadata": {},
+   "source": [
+    "### (3.) Review results\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "fa39c5bf-c959-4ff5-ad60-4ad68d00f22c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "demo2_run.outputs"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "947d6ce8-b330-44ab-b13f-b6eec20e839e",
+   "metadata": {},
+   "source": [
+    "## Demo 3"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "66b916d2-96b0-448d-8e51-b51fb5a5a1a7",
+   "metadata": {},
+   "source": [
+    "This is also a large example, in this case we use another option of the function to ask questions in the form of a poll."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9ec66fc7-f50b-4417-a7cc-3c42848b1f01",
+   "metadata": {},
+   "source": [
+    "### (1.) Import the function (import mlrun, set project and import function)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "dfcab8d0-5022-40e5-92ff-14b02cfa2eaa",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "> 2023-12-18 10:18:37,490 [warning] Client version with higher version than server version isn't supported, align your client to the server version: {'parsed_server_version': Version(major=1, minor=5, patch=2, prerelease='rc1', build='track'), 'parsed_client_version': Version(major=1, minor=6, patch=0, prerelease='rc11', build=None)}\n"
+     ]
+    }
+   ],
+   "source": [
+    "import os\n",
+    "import mlrun\n",
+    "import torch\n",
+    "from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig, pipeline"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "49bc523b-9bca-46c5-917d-320d5641506a",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "> 2023-12-18 10:18:51,651 [info] Project loaded successfully: {'project_name': 'call-center-demo-zeev55'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "project = mlrun.get_or_create_project(\n",
+    "    name=\"call-center-demo-3\",\n",
+    "    context=\"./\",\n",
+    "    user_project=True,\n",
+    "    parameters={\n",
+    "        \"default_image\": \"mlrun/mlrun\",\n",
+    "    })\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "370f3780-0dfc-4b9c-87aa-1dd124e62249",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<mlrun.projects.project.MlrunProject at 0x7f8bc5b0a370>"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "func = project.set_function(\n",
+    "    \"question-answering.py\",\n",
+    "    name=\"question-answering\",\n",
+    "    kind=\"job\",\n",
+    "    handler=\"answer_questions\",\n",
+    ")\n",
+    "project.save()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "88dbe941-b9af-40bb-a038-7fcc812d506c",
+   "metadata": {},
+   "source": [
+    "### (2.) Usage\n",
+    "\n",
+    "Like in the second demo, we make a list of questions for the function to answer."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "f9b02aaa-2a31-4ade-ba26-a2d73c5d03ab",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# These questions are harder to answer, as there is no right answer.\n",
+    "# So we want it to be at least consistent, for that we use the poll option.\n",
+    "QUESTIONS = [\n",
+    "    \"1. Rate the agent's level of empathy (The ability to understand and share the feelings of others) on a scale of 1-5.\",\n",
+    "    \"2. Rate the agent's level of professionalism (Conducting oneself in a way that is appropriate for the workplace) on a scale of 1-5.\",\n",
+    "]\n",
+    "\n",
+    "qa_questions_columns = [\n",
+    "                        \"empathy\",\n",
+    "                        \"professionalism\",\n",
+    "\n",
+    "                        ]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6ed8a0e3-9c5d-4524-bbe1-b345b981694a",
+   "metadata": {},
+   "source": [
+    "Another thing we give the model this time is answer examples (one/few shot answering), this can be done to show the model how you want the answer to be structured or caculated. <br>\n",
+    "So for every file we ask about, the model will be presented with this example of a call and how we want the answers."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d14e79d6-687c-4424-a01f-68376ad3dd30",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# For every file we ask about, the model will be presented with this example of a call and how we want the answers.\n",
+    "DEMO_CALL = (\n",
+    "    \"Agent: Good afternoon, you've reached [Internet Service Provider] customer support. I'm Megan. How can I assist \"\n",
+    "    \"you today?\\n\"\n",
+    "    \"Customer: Hello, Megan. This is Lisa. I've noticed some billing discrepancies on my last statement.\\n\"\n",
+    "    \"Agent: Thank you, Lisa. Let me pull up your account. I see the billing discrepancies you mentioned. It appears \"\n",
+    "    \"there was an error in the charges. I apologize for the inconvenience.\\n\"\n",
+    "    \"Customer: Thank you for acknowledging the issue, Megan. Can you please help me get it resolved?\\n\"\n",
+    "    \"Agent: Absolutely, Lisa. I've made note of the discrepancies, and I'll escalate this to our billing department \"\n",
+    "    \"for investigation and correction. You should see the adjustments on your next statement.\\n\"\n",
+    "    \"Customer: That sounds good, Megan. I appreciate your help.\\n\"\n",
+    "    \"Agent: Not a problem, Lisa. Have a wonderful day, and we'll get this sorted out for you.\\n\"\n",
+    ")\n",
+    "\n",
+    "\n",
+    "DEMO_ANSWERS = (\n",
+    "    \"1. 4\\n\"\n",
+    "    \"2. 5\\n\"\n",
+    "\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "86099fb8-895c-4e2c-979d-6bda9782ccd3",
+   "metadata": {},
+   "source": [
+    "Then we need to wrap it all nicely to be given to the model as a single prompt, this is done with a text wrapper, and a question wrapper. <br>\n",
+    "both of them will be concatenated inside the function with the questions and passed to the model."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e5efac70-cd2c-4fc7-bc9c-4c04d18077a1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "TEXT_WRAPPER = (\n",
+    "    f\"<|im_start|>system: You are an AI assistant that answers questions accurately and shortly<|im_end|>\\n\"\n",
+    "    f\"<|im_start|>user: Given the following text:\\n\"\n",
+    "    f\"{DEMO_CALL}\\n\"\n",
+    "    f\"answer the questions as accurately as you can:\\n\"\n",
+    "    f\"{QUESTIONS}<|im_end|>\\n\"\n",
+    "    f\"<|im_start|>assistant:\\n\"\n",
+    "    f\"{DEMO_ANSWERS}<|im_end|>\\n\"\n",
+    "    f\"<|im_start|>user: Given the following text:\\n\"\n",
+    "    \"{}\"\n",
+    ") \n",
+    "\n",
+    "QUESTIONS_WRAPPER = (\n",
+    "    \" answer the given questions as accurately as you can, do not write more answers the questions:\\n\"\n",
+    "    \"{}<|im_end|>\\n\"\n",
+    "    \"<|im_start|>assistant:\\n\"\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9339816e-d436-4add-b8f3-b48e577f4bfe",
+   "metadata": {},
+   "source": [
+    "The config is for the second questioning method, we cal \"poll\", and in which we need to choose how many voting models we want participating,<br>\n",
+    "and in what way we want do decide the result, we currentlly support `average` and `most_common` as show here.<br>\n",
+    "\n",
+    "\n",
+    "*An explenation about both questioning methods can be found in the begginig of this notebook"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "6330db65-9806-44a6-8046-0b156d2a3228",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "questions_config = \n",
+    "    {\n",
+    "        \"type\": \"poll\",\n",
+    "        \"poll_count\": 3, # How many 'voters'\n",
+    "        \"poll_strategy\": \"most_common\"\n",
+    "    }"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "eaa0ae3d-9302-4b73-92f1-8c43ec92e9cd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "qa_model = \"TheBloke/Mistral-7B-OpenOrca-GPTQ\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "20c0e1eb-49cf-426e-b125-eb133d440fbd",
+   "metadata": {},
+   "source": [
+    "Finnaly, we run the function with all the parameters we prepared. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "03d6d619-618a-49d6-b0be-43c300902927",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# Question answering:\n",
+    "demo3_run = func.run(\n",
+    "    function=\"question-answering\",\n",
+    "    local=True,\n",
+    "    handler=\"answer_questions\",\n",
+    "    inputs={\"data_path\": os.path.abspath(\"./calls\")},\n",
+    "    params={\n",
+    "        \"model_name\": qa_model,\n",
+    "        \"device_map\": \"auto\",\n",
+    "        \"text_wrapper\":TEXT_WRAPPER,\n",
+    "        \"questions\": QUESTIONS,\n",
+    "        \"questions_wrapper\": QUESTIONS_WRAPPER,\n",
+    "        \"questions_columns\": qa_questions_columns,\n",
+    "        \"questions_config\": questions_config, # This time we add 'questions_config'\n",
+    "    },\n",
+    "    returns=[\n",
+    "        \"question_answering_df: dataset\",\n",
+    "        \"question_answering_errors: result\",\n",
+    "    ],\n",
+    ")\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "534edd4e-1e5b-4663-a2bb-bc6da7b603ca",
+   "metadata": {},
+   "source": [
+    "### (3.) Review results\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a61f06ad-ee28-45c9-b7da-d93c5a296810",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "demo3_run.outputs"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "mlrun-base",
+   "language": "python",
+   "name": "conda-env-mlrun-base-py"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.16"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/functions/master/question_answering/0.4.0/src/question_answering.py b/functions/master/question_answering/0.4.0/src/question_answering.py
new file mode 100644
index 00000000..2e4e96d0
--- /dev/null
+++ b/functions/master/question_answering/0.4.0/src/question_answering.py
@@ -0,0 +1,736 @@
+# Copyright 2023 Iguazio
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+import enum
+import logging
+import operator
+import pathlib
+from collections import Counter
+from functools import reduce, wraps
+from typing import Any, Dict, List, Tuple, Union
+
+import pandas as pd
+import transformers
+from tqdm import tqdm
+
+# Get the global logger:
+_LOGGER = logging.getLogger()
+
+
+def _check_mlrun_and_open_mpi() -> Tuple["mlrun.MLClientCtx", "mpi4py.MPI.Intracomm"]:
+    global _LOGGER
+
+    is_mpi = False
+    try:
+        import mlrun
+
+        context = mlrun.get_or_create_ctx(name="mlrun")
+        _LOGGER = context.logger
+        is_mpi = context.labels.get("kind", "job") == "mpijob"
+
+        if is_mpi:
+            try:
+                from mpi4py import MPI
+
+                return context, MPI.COMM_WORLD
+            except ModuleNotFoundError as mpi4py_not_found:
+                context.logger.error(
+                    "To distribute the function using MLRun's 'mpijob' you need to have `mpi4py` package in your "
+                    "interpreter. Please run `pip install mpi4py` and make sure you have open-mpi."
+                )
+                raise mpi4py_not_found
+    except ModuleNotFoundError as module_not_found:
+        if is_mpi:
+            raise module_not_found
+    return None, None
+
+
+def open_mpi_handler(
+    worker_inputs: List[str], root_worker_inputs: Dict[str, Any] = None
+):
+    global _LOGGER
+
+    # Check for MLRun and OpenMPI availability:
+    context, comm = _check_mlrun_and_open_mpi()
+
+    def decorator(handler):
+        if comm is None or comm.Get_size() == 1:
+            return handler
+
+        @wraps(handler)
+        def wrapper(**kwargs):
+            # Get the open mpi environment properties:
+            size = comm.Get_size()
+            rank = comm.Get_rank()
+
+            # Give the correct chunk of the workers inputs:
+            for worker_input in worker_inputs:
+                input_argument = kwargs[worker_input]
+                if input_argument is None:
+                    continue
+                if isinstance(input_argument, str):
+                    input_argument = _get_text_files(
+                        data_path=pathlib.Path(input_argument).absolute()
+                    )
+                if len(input_argument) < size:
+                    raise ValueError(
+                        f"Cannot split the input '{worker_input}' of length {len(input_argument)} to {size} workers. "
+                        f"Please reduce the amount of workers for this input."
+                    )
+                even_chunk_size = len(input_argument) // size
+                chunk_start = rank * even_chunk_size
+                chunk_end = (
+                    (rank + 1) * even_chunk_size
+                    if rank + 1 < size
+                    else len(input_argument)
+                )
+                context.logger.info(
+                    f"Rank #{rank}: Processing input chunk of '{worker_input}' "
+                    f"from index {chunk_start} to {chunk_end}."
+                )
+                if isinstance(input_argument, list):
+                    input_argument = input_argument[chunk_start:chunk_end]
+                elif isinstance(input_argument, pd.DataFrame):
+                    input_argument = input_argument.iloc[chunk_start:chunk_end:, :]
+                kwargs[worker_input] = input_argument
+
+            # Set the root worker only arguments:
+            if rank == 0 and root_worker_inputs:
+                kwargs.update(root_worker_inputs)
+
+            # Run the worker:
+            output = handler(**kwargs)
+
+            # Send the output to the root rank (rank #0):
+            output = comm.gather(output, root=0)
+            if rank == 0:
+                # Join the outputs:
+                context.logger.info("Collecting data from workers to root worker.")
+                dataframe = pd.concat(objs=[df for df, _ in output], axis=0)
+                errors_dictionary = reduce(operator.ior, [err for _, err in output], {})
+                return dataframe, errors_dictionary
+            return None
+
+        return wrapper
+
+    return decorator
+
+
+@open_mpi_handler(worker_inputs=["data_path"], root_worker_inputs={"verbose": True})
+def answer_questions(
+    data_path: Union[str, List[str]],
+    model_name: str,
+    questions: Union[List[str], List[List[str]]],
+    device_map: Union[str, dict] = None,
+    model_kwargs: dict = None,
+    auto_gptq_exllama_max_input_length: int = None,
+    tokenizer_name: str = None,
+    tokenizer_kwargs: dict = None,
+    text_wrapper: Union[str, List[str]] = "",
+    questions_wrapper: Union[str, List[str]] = "",
+    generation_config: Union[Dict, List[Dict]] = None,
+    questions_config: Union[Dict, List[Dict]] = None,
+    batch_size: int = 1,
+    questions_columns: List[str] = None,
+    verbose: bool = False,
+) -> Tuple[pd.DataFrame, dict]:
+    """
+    Answer questions with a context to the given text files contents by a pretrained LLM model. Each text file will have
+    the following prompt built:
+
+    start of `text_wrapper`
+    <text file content>
+    end of `text_wrapper`
+
+    start of `questions_wrapper`
+    1. <questions[0]>
+    2. <questions[1]>
+    ...
+    n. <questions[n-1]>
+    end of `questions_wrapper`
+
+    :param data_path:                          A path to a directory of text files or a path to a text file to ask
+                                               questions about.
+    :param model_name:                         The pre-trained model name from the huggingface hub to use for asking
+                                               questions.
+    :param questions:                          The questions to ask.
+                                               A list of lists of questions to ask per text file, and devided
+                                               by question groups, the groups can be dtermained by size (in order to
+                                               avoid large inputs to the llm) or by questioning method
+                                               (regular or poll like questioning).
+    :param device_map:                         A map to use for loading the model on multiple devices.
+    :param model_kwargs:                       Keyword arguments to pass for loading the model using HuggingFace's
+                                               `transformers.AutoModelForCausalLM.from_pretrained` function.
+    :param auto_gptq_exllama_max_input_length: For AutoGPTQ models to set and extend the model's input buffer size.
+    :param tokenizer_name:                     The tokenizer name from the huggingface hub to use. If not given, the
+                                               model name will be used.
+    :param tokenizer_kwargs:                   Keyword arguments to pass for loading the tokenizer using HuggingFace's
+                                               `transformers.AutoTokenizer.from_pretrained` function.
+    :param text_wrapper:                       A wrapper for the file's text. Will be added at the start of the prompt.
+                                               Must have a placeholder ('{}') for the text of the file.
+    :param questions_wrapper:                  A wrapper for the questions received. Will be added after the text
+                                               wrapper in the prompt template. Must have a placeholder ('{}') for the
+                                               questions.
+    :param generation_config:                  HuggingFace's `GenerationConfig` keyword arguments to pass to the
+                                               `generate` method.
+    :param questions_config:                   A dictionary or list of dictionaries containing specific ways to answer
+                                               questions (using a poll for example), each dictionary in the list is for
+                                               corresponding question group and determines the question asking method
+                                               for said group.
+    :param batch_size:                         Batch size for inference.
+    :param questions_columns:                  Columns to use for the dataframe returned.
+    :param verbose:                            Whether to present logs of a progress bar and errors. Default: True.
+
+
+    :returns: A tuple of:
+
+              * A dataframe dataset of the questions answers.
+              * A dictionary of errored files that were not inferred or were not answered properly.
+    """
+    global _LOGGER
+
+    # Set configs to empty dict if not given:
+    if generation_config is None:
+        generation_config = {}
+    if questions_config is None:
+        questions_config = {}
+
+    # Get the input text files to question:
+    if verbose:
+        _LOGGER.info("Collecting text files.")
+    if isinstance(data_path, str):
+        data_path = pathlib.Path(data_path).absolute()
+        text_files = _get_text_files(data_path=data_path)
+    else:
+        text_files = data_path
+    if verbose:
+        _LOGGER.info(f"Collected {len(text_files)} text files.")
+
+    # Get the prompt template:
+    if verbose:
+        _LOGGER.info("Creating prompt template.")
+
+    # Organize questions as a list of list, and count number of sub-lists for future use
+    number_of_question_groups = 1 if isinstance(questions[0], str) else len(questions)
+    questions = _to_group_list(
+        argument_value=questions,
+        argument_name="questions",
+        length=number_of_question_groups,
+    )
+
+    # Organize prompt parts at proper length
+    text_wrapper = _to_group_list(
+        argument_value=text_wrapper,
+        argument_name="text_wrapper",
+        length=number_of_question_groups,
+    )
+    questions_wrapper = _to_group_list(
+        argument_value=questions_wrapper,
+        argument_name="questions_wrapper",
+        length=number_of_question_groups,
+    )
+
+    # Create a list of prompt according to given parts and questions
+    prompt_template = []
+    questions = questions if isinstance(questions[0], list) else [questions]
+
+    # Build all prompts
+    for i in range(number_of_question_groups):
+        prompt_template.append(
+            _get_prompt_template(
+                text_wrapper=text_wrapper[i],
+                questions_wrapper=questions_wrapper[i],
+                questions=questions[i],
+            )
+        )
+    if verbose:
+        _LOGGER.info(f"Prompt template created:\n\n{prompt_template}\n")
+
+    # Get the total amount of questions:
+    questions_amount = sum([len(sublist) for sublist in questions])
+
+    # Get the questions columns:
+    questions_columns = questions_columns or [
+        f"q{i}" for i in range(1, questions_amount + 1)
+    ]
+
+    # Check if we have the correct amount of questions columns:
+    if len(questions_columns) != questions_amount:
+        raise ValueError(
+            f"The provided questions columns length ({len(questions_columns)}) "
+            f"does not match the questions amount ({questions_amount})"
+        )
+
+    # Load the generation config:
+    if verbose:
+        _LOGGER.info("Loading generation configuration.")
+    generation_config = [
+        transformers.GenerationConfig(**(cfg or {}))
+        for cfg in _to_group_list(
+            argument_value=generation_config,
+            argument_name="generation_config",
+            length=number_of_question_groups,
+        )
+    ]
+    if verbose:
+        _LOGGER.info(f"Generation configuration loaded: {generation_config}")
+
+    # Load the model and tokenizer into a pipeline object:
+    if verbose:
+        _LOGGER.info(f"Loading model '{model_name}'.")
+    generation_pipeline = _get_generation_pipeline(
+        model_name=model_name,
+        device_map=device_map,
+        tokenizer_name=tokenizer_name or model_name,
+        model_kwargs=model_kwargs or {},
+        tokenizer_kwargs=tokenizer_kwargs or {},
+        auto_gptq_exllama_max_input_length=auto_gptq_exllama_max_input_length,
+        batch_size=batch_size,
+    )
+    if verbose:
+        _LOGGER.info("Model loaded.")
+
+    # Prepare the successes dataframe and errors dictionary to be returned:
+    successes = []
+    errors = {}
+
+    # Split the files into batches:
+    file_batches = [
+        text_files[i : i + batch_size]
+        if i + batch_size < len(text_files)
+        else text_files[i:]
+        for i in range(0, len(text_files), batch_size)
+    ]
+    questions_config = _to_group_list(
+        argument_value=questions_config,
+        argument_name="questions_config",
+        length=number_of_question_groups,
+    )
+
+    # Create a list of question handlers according to given configs
+    handlers = []
+    for cfg in questions_config:
+        question_type = cfg.pop("type", "default")
+        handlers.append(QUESTION_MAPPING.get(question_type)(**cfg))
+
+    # Go over the batches of text files and question them:
+    for file_batch in tqdm(
+        file_batches,
+        desc="Generating answers",
+        unit=f"file (batch of {batch_size})",
+        disable=not verbose,
+    ):
+        try:
+            total_answers = [[] for _ in range(batch_size)]
+
+            # Go over all question group per batch of documents
+            for question_group in range(number_of_question_groups):
+                current_questions_amount = len(questions[question_group])
+
+                # Read batch (read the text from the text files):
+                batched_input = _read_file_batch(
+                    file_batch=file_batch,
+                    prompt_template=prompt_template[question_group],
+                )
+
+                # Answer the questions with each question handler:
+                batched_answers = handlers[question_group].answer(
+                    questions_amount=current_questions_amount,
+                    batched_input=batched_input,
+                    generation_pipeline=generation_pipeline,
+                    generation_config=generation_config[question_group],
+                )
+
+                # Put the answers in the correct place in the total answers list according to the place in the batch:
+                for i in range(batch_size):
+                    total_answers[i].extend(batched_answers[i])
+
+            # Collect the answers and attach the file name:
+            successes.extend(
+                [
+                    [file.name, *answers]
+                    for file, answers in zip(file_batch, total_answers)
+                ]
+            )
+        except Exception as exception:
+            # Note the exception as error in the dictionary:
+            batch_file_names = ", ".join([file.name for file in file_batch])
+            if verbose:
+                _LOGGER.warning(
+                    f"Error in batch '{batch_file_names}': {str(exception)}"
+                )
+            errors[batch_file_names] = str(exception)
+            continue
+
+    # Construct the answers dataframe:
+    columns = [
+        "text_file",
+        *questions_columns,
+    ]
+
+    # Create a data frame of answers by files
+    successes = pd.DataFrame(
+        successes,
+        columns=columns,
+    )
+
+    # Print the head of the produced dataframe and return:
+    if verbose:
+        _LOGGER.info(
+            f"Done ({successes.shape[0]}/{len(text_files)})\n"
+            f"Answers summary:\n"
+            f"{successes.head()}"
+        )
+    return successes, errors
+
+
+def _get_text_files(
+    data_path: pathlib.Path,
+) -> List[pathlib.Path]:
+
+    # Check if the path is of a directory or a file:
+    if data_path.is_dir():
+
+        # Get all files inside the directory:
+        text_files = list(data_path.glob("*.*"))
+    elif data_path.is_file():
+        text_files = [data_path]
+    else:
+        raise ValueError(
+            f"Unrecognized data path. The parameter `data_path` must be either a directory path or a file path. "
+            f"Given: {str(data_path)} "
+        )
+
+    return text_files
+
+
+def _get_prompt_template(
+    text_wrapper: str,
+    questions_wrapper: str,
+    questions: List[str],
+) -> str:
+
+    # Validate and build the text wrapper:
+    text_wrapper = text_wrapper or (
+        "Given the following text:\n" "-----\n" "{}\n" "-----"
+    )
+    if text_wrapper.count("{}") != 1:
+        raise ValueError(
+            "The `text_wrapper` must include one placeholder '{}' for the text of the file to be asked about."
+        )
+
+    # Validate and build the question wrapper:
+    questions_wrapper = questions_wrapper or "Answer the questions:\n" "{}"
+    if questions_wrapper.count("{}") != 1:
+        raise ValueError(
+            "The `questions_wrapper` must include one placeholder '{}' for the list of questions."
+        )
+
+    # Validate and parse the questions:
+    if len(questions) == 0:
+        raise ValueError("Please include at least one question.")
+    questions = "\n".join(
+        [f"{i}. {question}" for i, question in enumerate(questions, 1)]
+    )
+
+    # Construct the template:
+    return f"{text_wrapper}\n{questions_wrapper.format(questions)}\n"
+
+
+def _get_generation_pipeline(
+    model_name: str,
+    device_map: Union[str, dict],
+    tokenizer_name: str,
+    model_kwargs: dict,
+    tokenizer_kwargs: dict,
+    auto_gptq_exllama_max_input_length: int = None,
+    batch_size: int = 1,
+):
+    # Load the model:
+    model = transformers.AutoModelForCausalLM.from_pretrained(
+        model_name, device_map=device_map, **model_kwargs
+    )
+
+    # Set exllama max input length if provided:
+    # This changes the model's context size.
+    if auto_gptq_exllama_max_input_length:
+        from auto_gptq import exllama_set_max_input_length
+
+        model = exllama_set_max_input_length(
+            model=model, max_input_length=auto_gptq_exllama_max_input_length
+        )
+
+    # Load the tokenizer:
+    tokenizer = transformers.AutoTokenizer.from_pretrained(
+        tokenizer_name, **tokenizer_kwargs
+    )
+
+    # Initialize a generation pipline and return:
+    pipe = transformers.pipeline(
+        task="text-generation",
+        model=model,
+        tokenizer=tokenizer,
+        batch_size=batch_size,
+    )
+    pipe.tokenizer.pad_token_id = model.config.eos_token_id
+    return pipe
+
+
+def _read_file_batch(
+    file_batch: List[pathlib.Path],
+    prompt_template: str,
+) -> List[str]:
+    batch = []
+
+    # Go over all files and read in usable format
+    for file in file_batch:
+        with open(file, "r", encoding="utf-8") as fp:
+            batch.append(prompt_template.format(fp.read()))
+    return batch
+
+
+def _to_group_list(argument_value: list, argument_name: str, length: int):
+
+    # Check if is list, turn to list if not
+    argument_value = (
+        argument_value if isinstance(argument_value, list) else [argument_value]
+    )
+    list_len = len(argument_value)
+
+    # If not a list, or is a list of len 1 we duplicate for correct length
+    # If list in wrong length throw an error
+    if list_len != length:
+        if list_len == 1:
+            return argument_value * length
+        raise ValueError(
+            f"The argument value of '{argument_name}' is not equal to the length of the given questions - {length}"
+        )
+    return argument_value
+
+
+class QuestionHandler:
+    """
+    A class for handling questions answering for a given question type.
+    This class is used as a base class for all question types, and for default question type (regular question
+    answering without any special handling).
+    """
+
+    class ConfigKeys:
+        pass
+
+    def __init__(self):
+        pass
+
+    @staticmethod
+    def _get_answers(generated_text: str, questions_amount: int) -> List[str]:
+
+        # Clear answer start (part before numbers):
+        # TODO find better way to verify, for list of questions this is redundant for example
+        if "1." not in generated_text:
+            raise ValueError(
+                f"Answer 1. is missing from the generated text: '{generated_text}'"
+            )
+        text = generated_text.split("1.", 1)[1]
+
+        # Start extracting the answers:
+        answers = []
+        for i in range(1, questions_amount + 1):
+            # If it's the last answer to look for, take the rest of the text:
+            if i == questions_amount:
+                answer_i = text
+            # Verify there is a question number in the text:
+            elif f"{i + 1}." not in text:
+                raise ValueError(
+                    f"Answer {i + 1}. is missing from the generated text: '{generated_text}'"
+                )
+            # Take i's answer:
+            else:
+                answer_i, text = text.split(f"{i + 1}.", 1)
+            # Collect the answer removing redundant spaces:
+            answers.append(answer_i.strip())
+
+        return answers
+
+    def _infer_questions(
+        self,
+        questions_amount: int,
+        batched_input: List[str],
+        generation_pipeline: transformers.Pipeline,
+        generation_config: transformers.GenerationConfig,
+    ) -> List[List[str]]:
+
+        # Infer through the llm:
+        batched_output = generation_pipeline(
+            batched_input,
+            generation_config=generation_config,
+            eos_token_id=generation_pipeline.tokenizer.eos_token_id,
+            return_full_text=False,
+            num_return_sequences=1,
+        )
+
+        # Process the outputs to get the answers:
+        batched_answers = []
+        for output in batched_output:
+            # Get the generated answers:
+            answers = self._get_answers(
+                generated_text=output[0]["generated_text"],
+                questions_amount=questions_amount,
+            )
+            # Collect the processed answers:
+            batched_answers.append(answers)
+        return batched_answers
+
+    def answer(
+        self,
+        questions_amount: int,
+        batched_input: List[str],
+        generation_pipeline: transformers.Pipeline,
+        generation_config: transformers.GenerationConfig,
+    ) -> List[List[str]]:
+        """
+        Answer questions with a context to the given text files contents by a pretrained LLM model in given pipeline.
+        """
+        return self._infer_questions(
+            questions_amount=questions_amount,
+            batched_input=batched_input,
+            generation_pipeline=generation_pipeline,
+            generation_config=generation_config,
+        )
+
+
+class PollQuestionHandler(QuestionHandler):
+    """
+    Static class to hold all the possible poll question configurations options keys
+    """
+
+    class ConfigKeys:
+        """
+        A class for handling questions answering for poll type questions.
+        These type of question are answered by asking the same question multiple times
+        and choosing the most common answer or the average answer.
+        """
+
+        #: The number of times to ask the same question.
+        POLL_COUNT = "poll_count"
+
+        #: The strategy to use for choosing the answer from the poll.
+        POLL_STRATEGY = "poll_strategy"
+
+    class Strategy(enum.Enum):
+        #: The most common answer strategy.
+        MOST_COMMON = "most_common"
+
+        #: The average answer strategy.
+        AVERAGE = "average"
+
+        @staticmethod
+        def most_common(answers):
+            """
+            Calculate the most common answer for a given list of answers.
+            """
+            count = Counter(answers)
+            most_common = count.most_common(1)
+            return most_common[0][0]
+
+        @staticmethod
+        def average(answers):
+            """
+            Calculate the average answer for a given list of answers.
+            """
+            if isinstance(answers[0], str):
+                raise ValueError(
+                    "Cannot perform poll with average answer strategy of non numeric values,"
+                    " please change the question to give numeric data, or choose 'most_common' as strategy."
+                )
+            else:
+                numeric_values = answers
+            avg = sum(numeric_values) / len(numeric_values)
+
+            # Round to the closest integer and return corresponding value
+            return round(avg)
+
+        def do(self, answers):
+            """
+            Perform the strategy.
+            """
+            return getattr(self, self.value)(answers)
+
+    def __init__(
+        self, poll_count: int = 5, poll_strategy: str = "most_common"):
+        super().__init__()
+        self.poll_count = poll_count
+        self.poll_strategy = self.Strategy(poll_strategy)
+
+    def answer(
+        self,
+        questions_amount: int,
+        batched_input: List[str],
+        generation_pipeline: transformers.Pipeline,
+        generation_config: transformers.GenerationConfig,
+    ) -> List[List[str]]:
+        """
+        Answer questions with a context to the given text files contents by a pretrained LLM model in given pipeline.
+        """
+        return self._answer_poll_questions(
+            questions_amount=questions_amount,
+            batched_input=batched_input,
+            generation_pipeline=generation_pipeline,
+            generation_config=generation_config,
+        )
+
+    def _answer_poll_questions(
+        self,
+        questions_amount: int,
+        batched_input: List[str],
+        generation_pipeline: transformers.Pipeline,
+        generation_config: transformers.GenerationConfig,
+    ) -> List[List[str]]:
+        votes = []
+
+        # Run the poll for each question
+        for _ in range(self.poll_count):
+            batched_answers = self._infer_questions(
+                questions_amount=questions_amount,
+                batched_input=batched_input,
+                generation_pipeline=generation_pipeline,
+                generation_config=generation_config,
+            )
+            votes.append(batched_answers)
+        answers = []
+
+        # Collect the answers according to the poll strategy
+        # Average strategy works for numeric values only
+        for batch in range(len(votes[0])):
+            batched_answers = []
+            for question in range(questions_amount):
+                # Create a list of all answers to relevant question
+                answer = [
+                    votes[voter][batch][question] for voter in range(self.poll_count)
+                ]
+                answer = self.poll_strategy.do(answer)
+                batched_answers.append(answer)
+            answers.append(batched_answers)
+        return answers
+
+
+# Holds names of QuestionHandles
+class QuestionTypes:
+    DEFAULT = "default"
+    POLL = "poll"
+
+
+# Maps question types to their handlers
+QUESTION_MAPPING = {
+    QuestionTypes.DEFAULT: QuestionHandler,
+    QuestionTypes.POLL: PollQuestionHandler,
+}
diff --git a/functions/master/question_answering/0.4.0/src/requirements.txt b/functions/master/question_answering/0.4.0/src/requirements.txt
new file mode 100644
index 00000000..d05cb777
--- /dev/null
+++ b/functions/master/question_answering/0.4.0/src/requirements.txt
@@ -0,0 +1,4 @@
+transformers
+tqdm
+torch
+einops
\ No newline at end of file
diff --git a/functions/master/question_answering/0.4.0/src/test_question_answering.py b/functions/master/question_answering/0.4.0/src/test_question_answering.py
new file mode 100644
index 00000000..f35b4364
--- /dev/null
+++ b/functions/master/question_answering/0.4.0/src/test_question_answering.py
@@ -0,0 +1,76 @@
+# Copyright 2019 Iguazio
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+import mlrun
+import transformers
+import tempfile
+
+APPLE_COLOR = "red"
+
+
+def mock_pipeline_call(*args, **kwargs):
+    return [[{"generated_text": "1. " + APPLE_COLOR}]]
+
+
+def _make_data_dir_for_test():
+    data_dir = tempfile.mkdtemp()
+    content = "The apple color is red."
+    with open(data_dir + "/test_data.txt", "w") as f:
+        f.write(content)
+    return data_dir
+
+
+def test_question_answering(monkeypatch):
+    monkeypatch.setattr(transformers.Pipeline, "__call__", mock_pipeline_call)
+    input_path = "./data"
+    artifact_path = tempfile.mkdtemp()
+    project = mlrun.new_project("qa", context="./")
+    fn = project.set_function("question_answering.py", "answer_questions", kind="job", image="mlrun/mlrun")
+    qa_run = fn.run(
+        handler="answer_questions",
+        params={
+            "model_name": "distilgpt2",
+            "data_path": input_path,
+            "text_wrapper": (
+                "Given the following sentence:\n"
+                "-----\n"
+                "{}\n"
+                "-----"
+            ),
+            "questions": [
+                "What is the color of the apple?",
+            ],
+            "questions_columns": [
+                "color",
+            ],
+            "generation_config": {
+                "do_sample": True,
+                "temperature": 0.8,
+                "top_p": 0.9,
+                "early_stopping": True,
+                "max_new_tokens": 20,
+            },
+        },
+        returns=[
+            "question_answering_df: dataset",
+            "question_answering_errors: result",
+        ],
+        local=True,
+        artifact_path=artifact_path
+    )
+    qa_df = mlrun.get_dataitem(
+        qa_run.status.artifacts[0]["spec"]["target_path"]
+    ).as_df()
+    assert qa_df["color"][0] == APPLE_COLOR
+    assert qa_run.outputs["question_answering_errors"] == {}
diff --git a/functions/master/question_answering/0.4.0/static/documentation.html b/functions/master/question_answering/0.4.0/static/documentation.html
new file mode 100644
index 00000000..3ec31796
--- /dev/null
+++ b/functions/master/question_answering/0.4.0/static/documentation.html
@@ -0,0 +1,377 @@
+
+<!DOCTYPE html>
+
+<html lang="en">
+<head>
+<meta charset="utf-8"/>
+<meta content="width=device-width, initial-scale=1.0" name="viewport"/><meta content="Docutils 0.17.1: http://docutils.sourceforge.net/" name="generator"/>
+<title>question_answering package</title>
+<!-- Loaded before other Sphinx assets -->
+<link href="../../../_static/styles/theme.css?digest=1999514e3f237ded88cf" rel="stylesheet"/>
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+<input aria-label="Toggle in-page Table of Contents" class="sidebar-toggle" id="__page-toc" name="__page-toc" type="checkbox"/>
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+<a class="headerbtn" data-placement="left" data-toggle="tooltip" href="https://github.com/mlrun/marketplace" title="Source repository">
+<span class="headerbtn__icon-container">
+<i class="fab fa-github"></i>
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+</a>
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+<a class="headerbtn" data-placement="left" data-toggle="tooltip" href="https://github.com/mlrun/marketplace/issues/new?title=Issue%20on%20page%20%2Fquestion_answering.html&amp;body=Your%20issue%20content%20here." title="Open an issue">
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+<div class="col-md-3 bd-toc show noprint">
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+<i class="fas fa-list"></i> Contents
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+<ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#submodules">
+   Submodules
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#module-question_answering.question_answering">
+   question_answering.question_answering module
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#module-question_answering">
+   Module contents
+  </a>
+</li>
+</ul>
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+<div class="article row">
+<div class="col pl-md-3 pl-lg-5 content-container">
+<!-- Table of contents that is only displayed when printing the page -->
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+<h1>question_answering package</h1>
+<!-- Table of contents -->
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+<div id="jb-print-toc">
+<div>
+<h2> Contents </h2>
+</div>
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+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#submodules">
+   Submodules
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#module-question_answering.question_answering">
+   question_answering.question_answering module
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#module-question_answering">
+   Module contents
+  </a>
+</li>
+</ul>
+</nav>
+</div>
+</div>
+</div>
+<main id="main-content" role="main">
+<div>
+<section id="question-answering-package">
+<h1>question_answering package<a class="headerlink" href="#question-answering-package" title="Permalink to this headline">#</a></h1>
+<section id="submodules">
+<h2>Submodules<a class="headerlink" href="#submodules" title="Permalink to this headline">#</a></h2>
+</section>
+<section id="module-question_answering.question_answering">
+<span id="question-answering-question-answering-module"></span><h2>question_answering.question_answering module<a class="headerlink" href="#module-question_answering.question_answering" title="Permalink to this headline">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="question_answering.question_answering.PollQuestionHandler">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">question_answering.question_answering.</span></span><span class="sig-name descname"><span class="pre">PollQuestionHandler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">poll_count</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">poll_strategy</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'most_common'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="question_answering.html#PollQuestionHandler"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#question_answering.question_answering.PollQuestionHandler" title="Permalink to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#question_answering.question_answering.QuestionHandler" title="question_answering.question_answering.QuestionHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">question_answering.question_answering.QuestionHandler</span></code></a></p>
+<p>Static class to hold all the possible poll question configurations options keys</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="question_answering.question_answering.PollQuestionHandler.ConfigKeys">
+<em class="property"><span class="pre">class</span> </em><span class="sig-name descname"><span class="pre">ConfigKeys</span></span><a class="reference internal" href="question_answering.html#PollQuestionHandler.ConfigKeys"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#question_answering.question_answering.PollQuestionHandler.ConfigKeys" title="Permalink to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
+<p>A class for handling questions answering for poll type questions.
+These type of question are answered by asking the same question multiple times
+and choosing the most common answer or the average answer.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="question_answering.question_answering.PollQuestionHandler.ConfigKeys.POLL_COUNT">
+<span class="sig-name descname"><span class="pre">POLL_COUNT</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'poll_count'</span></em><a class="headerlink" href="#question_answering.question_answering.PollQuestionHandler.ConfigKeys.POLL_COUNT" title="Permalink to this definition">#</a></dt>
+<dd><p>The number of times to ask the same question.</p>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="question_answering.question_answering.PollQuestionHandler.ConfigKeys.POLL_STRATEGY">
+<span class="sig-name descname"><span class="pre">POLL_STRATEGY</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'poll_strategy'</span></em><a class="headerlink" href="#question_answering.question_answering.PollQuestionHandler.ConfigKeys.POLL_STRATEGY" title="Permalink to this definition">#</a></dt>
+<dd><p>The strategy to use for choosing the answer from the poll.</p>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="question_answering.question_answering.PollQuestionHandler.Strategy">
+<em class="property"><span class="pre">class</span> </em><span class="sig-name descname"><span class="pre">Strategy</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="question_answering.html#PollQuestionHandler.Strategy"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#question_answering.question_answering.PollQuestionHandler.Strategy" title="Permalink to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">enum.Enum</span></code></p>
+<p>An enumeration.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="question_answering.question_answering.PollQuestionHandler.Strategy.AVERAGE">
+<span class="sig-name descname"><span class="pre">AVERAGE</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'average'</span></em><a class="headerlink" href="#question_answering.question_answering.PollQuestionHandler.Strategy.AVERAGE" title="Permalink to this definition">#</a></dt>
+<dd><p>The average answer strategy.</p>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="question_answering.question_answering.PollQuestionHandler.Strategy.MOST_COMMON">
+<span class="sig-name descname"><span class="pre">MOST_COMMON</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'most_common'</span></em><a class="headerlink" href="#question_answering.question_answering.PollQuestionHandler.Strategy.MOST_COMMON" title="Permalink to this definition">#</a></dt>
+<dd><p>The most common answer strategy.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="question_answering.question_answering.PollQuestionHandler.Strategy.average">
+<em class="property"><span class="pre">static</span> </em><span class="sig-name descname"><span class="pre">average</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">answers</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="question_answering.html#PollQuestionHandler.Strategy.average"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#question_answering.question_answering.PollQuestionHandler.Strategy.average" title="Permalink to this definition">#</a></dt>
+<dd><p>Calculate the average answer for a given list of answers.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="question_answering.question_answering.PollQuestionHandler.Strategy.do">
+<span class="sig-name descname"><span class="pre">do</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">answers</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="question_answering.html#PollQuestionHandler.Strategy.do"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#question_answering.question_answering.PollQuestionHandler.Strategy.do" title="Permalink to this definition">#</a></dt>
+<dd><p>Perform the strategy.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="question_answering.question_answering.PollQuestionHandler.Strategy.most_common">
+<em class="property"><span class="pre">static</span> </em><span class="sig-name descname"><span class="pre">most_common</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">answers</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="question_answering.html#PollQuestionHandler.Strategy.most_common"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#question_answering.question_answering.PollQuestionHandler.Strategy.most_common" title="Permalink to this definition">#</a></dt>
+<dd><p>Calculate the most common answer for a given list of answers.</p>
+</dd></dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="question_answering.question_answering.PollQuestionHandler.answer">
+<span class="sig-name descname"><span class="pre">answer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">questions_amount</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batched_input</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">generation_pipeline</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">transformers.Pipeline</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">generation_config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">transformers.GenerationConfig</span></span></em><span class="sig-paren">)</span> → <span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><a class="reference internal" href="question_answering.html#PollQuestionHandler.answer"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#question_answering.question_answering.PollQuestionHandler.answer" title="Permalink to this definition">#</a></dt>
+<dd><p>Answer questions with a context to the given text files contents by a pretrained LLM model in given pipeline.</p>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="question_answering.question_answering.QuestionHandler">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">question_answering.question_answering.</span></span><span class="sig-name descname"><span class="pre">QuestionHandler</span></span><a class="reference internal" href="question_answering.html#QuestionHandler"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#question_answering.question_answering.QuestionHandler" title="Permalink to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
+<p>A class for handling questions answering for a given question type.
+This class is used as a base class for all question types, and for default question type (regular question
+answering without any special handling).</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="question_answering.question_answering.QuestionHandler.ConfigKeys">
+<em class="property"><span class="pre">class</span> </em><span class="sig-name descname"><span class="pre">ConfigKeys</span></span><a class="reference internal" href="question_answering.html#QuestionHandler.ConfigKeys"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#question_answering.question_answering.QuestionHandler.ConfigKeys" title="Permalink to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="question_answering.question_answering.QuestionHandler.answer">
+<span class="sig-name descname"><span class="pre">answer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">questions_amount</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batched_input</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">generation_pipeline</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">transformers.Pipeline</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">generation_config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">transformers.GenerationConfig</span></span></em><span class="sig-paren">)</span> → <span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><a class="reference internal" href="question_answering.html#QuestionHandler.answer"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#question_answering.question_answering.QuestionHandler.answer" title="Permalink to this definition">#</a></dt>
+<dd><p>Answer questions with a context to the given text files contents by a pretrained LLM model in given pipeline.</p>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="question_answering.question_answering.QuestionTypes">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">question_answering.question_answering.</span></span><span class="sig-name descname"><span class="pre">QuestionTypes</span></span><a class="reference internal" href="question_answering.html#QuestionTypes"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#question_answering.question_answering.QuestionTypes" title="Permalink to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="question_answering.question_answering.QuestionTypes.DEFAULT">
+<span class="sig-name descname"><span class="pre">DEFAULT</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'default'</span></em><a class="headerlink" href="#question_answering.question_answering.QuestionTypes.DEFAULT" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="question_answering.question_answering.QuestionTypes.POLL">
+<span class="sig-name descname"><span class="pre">POLL</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'poll'</span></em><a class="headerlink" href="#question_answering.question_answering.QuestionTypes.POLL" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="question_answering.question_answering.answer_questions">
+<span class="sig-prename descclassname"><span class="pre">question_answering.question_answering.</span></span><span class="sig-name descname"><span class="pre">answer_questions</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">questions</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device_map</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_kwargs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">auto_gptq_exllama_max_input_length</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tokenizer_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tokenizer_kwargs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">text_wrapper</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">''</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">questions_wrapper</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">''</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">generation_config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">,</span> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">questions_config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">,</span> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">questions_columns</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> → <span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span> </span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span><a class="reference internal" href="question_answering.html#answer_questions"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#question_answering.question_answering.answer_questions" title="Permalink to this definition">#</a></dt>
+<dd><p>Answer questions with a context to the given text files contents by a pretrained LLM model. Each text file will have
+the following prompt built:</p>
+<p>start of <cite>text_wrapper</cite>
+&lt;text file content&gt;
+end of <cite>text_wrapper</cite></p>
+<p>start of <cite>questions_wrapper</cite>
+1. &lt;questions[0]&gt;
+2. &lt;questions[1]&gt;
+…
+n. &lt;questions[n-1]&gt;
+end of <cite>questions_wrapper</cite></p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data_path</strong> – A path to a directory of text files or a path to a text file to ask
+questions about.</p></li>
+<li><p><strong>model_name</strong> – The pre-trained model name from the huggingface hub to use for asking
+questions.</p></li>
+<li><p><strong>questions</strong> – The questions to ask.
+A list of lists of questions to ask per text file, and devided
+by question groups, the groups can be dtermained by size (in order to
+avoid large inputs to the llm) or by questioning method
+(regular or poll like questioning).</p></li>
+<li><p><strong>device_map</strong> – A map to use for loading the model on multiple devices.</p></li>
+<li><p><strong>model_kwargs</strong> – Keyword arguments to pass for loading the model using HuggingFace’s
+<cite>transformers.AutoModelForCausalLM.from_pretrained</cite> function.</p></li>
+<li><p><strong>auto_gptq_exllama_max_input_length</strong> – For AutoGPTQ models to set and extend the model’s input buffer size.</p></li>
+<li><p><strong>tokenizer_name</strong> – The tokenizer name from the huggingface hub to use. If not given, the
+model name will be used.</p></li>
+<li><p><strong>tokenizer_kwargs</strong> – Keyword arguments to pass for loading the tokenizer using HuggingFace’s
+<cite>transformers.AutoTokenizer.from_pretrained</cite> function.</p></li>
+<li><p><strong>text_wrapper</strong> – A wrapper for the file’s text. Will be added at the start of the prompt.
+Must have a placeholder (‘{}’) for the text of the file.</p></li>
+<li><p><strong>questions_wrapper</strong> – A wrapper for the questions received. Will be added after the text
+wrapper in the prompt template. Must have a placeholder (‘{}’) for the
+questions.</p></li>
+<li><p><strong>generation_config</strong> – HuggingFace’s <cite>GenerationConfig</cite> keyword arguments to pass to the
+<cite>generate</cite> method.</p></li>
+<li><p><strong>questions_config</strong> – A dictionary or list of dictionaries containing specific ways to answer
+questions (using a poll for example), each dictionary in the list is for
+corresponding question group and determines the question asking method
+for said group.</p></li>
+<li><p><strong>batch_size</strong> – Batch size for inference.</p></li>
+<li><p><strong>questions_columns</strong> – Columns to use for the dataframe returned.</p></li>
+<li><p><strong>verbose</strong> – Whether to present logs of a progress bar and errors. Default: True.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p><p>A tuple of:</p>
+<ul class="simple">
+<li><p>A dataframe dataset of the questions answers.</p></li>
+<li><p>A dictionary of errored files that were not inferred or were not answered properly.</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="question_answering.question_answering.open_mpi_handler">
+<span class="sig-prename descclassname"><span class="pre">question_answering.question_answering.</span></span><span class="sig-name descname"><span class="pre">open_mpi_handler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">worker_inputs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">root_worker_inputs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="question_answering.html#open_mpi_handler"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#question_answering.question_answering.open_mpi_handler" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+</section>
+<section id="module-question_answering">
+<span id="module-contents"></span><h2>Module contents<a class="headerlink" href="#module-question_answering" title="Permalink to this headline">#</a></h2>
+</section>
+</section>
+</div>
+</main>
+<footer class="footer-article noprint">
+<!-- Previous / next buttons -->
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+</div>
+</footer>
+</div>
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+<footer class="col footer"><p>
+  
+      © Copyright .<br/>
+</p>
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\ No newline at end of file
diff --git a/functions/master/question_answering/0.4.0/static/example.html b/functions/master/question_answering/0.4.0/static/example.html
new file mode 100644
index 00000000..f2423f96
--- /dev/null
+++ b/functions/master/question_answering/0.4.0/static/example.html
@@ -0,0 +1,904 @@
+
+<!DOCTYPE html>
+
+<html lang="en">
+<head>
+<meta charset="utf-8"/>
+<meta content="width=device-width, initial-scale=1.0" name="viewport"/><meta content="Docutils 0.17.1: http://docutils.sourceforge.net/" name="generator"/>
+<title>Question Answering</title>
+<!-- Loaded before other Sphinx assets -->
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+<link href="../../../_static/togglebutton.css" rel="stylesheet" type="text/css">
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+    </div>
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+<ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#short-description-and-explenation">
+   Short description and explenation
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#background">
+   Background
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#requirements">
+   Requirements
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#documentation">
+   Documentation
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#demo-1">
+   Demo 1
+  </a>
+<ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry">
+<a class="reference internal nav-link" href="#import-the-function-import-mlrun-set-project-and-import-function">
+     (1.) Import the function (import mlrun, set project and import function)
+    </a>
+</li>
+<li class="toc-h3 nav-item toc-entry">
+<a class="reference internal nav-link" href="#usage">
+     (2.) Usage
+    </a>
+</li>
+<li class="toc-h3 nav-item toc-entry">
+<a class="reference internal nav-link" href="#review-results">
+     (3.) Review results
+    </a>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#demo-2">
+   Demo 2
+  </a>
+<ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry">
+<a class="reference internal nav-link" href="#id1">
+     (1.) Import the function (import mlrun, set project and import function)
+    </a>
+</li>
+<li class="toc-h3 nav-item toc-entry">
+<a class="reference internal nav-link" href="#id2">
+     (2.) Usage
+    </a>
+</li>
+<li class="toc-h3 nav-item toc-entry">
+<a class="reference internal nav-link" href="#id3">
+     (3.) Review results
+    </a>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#demo-3">
+   Demo 3
+  </a>
+<ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry">
+<a class="reference internal nav-link" href="#id4">
+     (1.) Import the function (import mlrun, set project and import function)
+    </a>
+</li>
+<li class="toc-h3 nav-item toc-entry">
+<a class="reference internal nav-link" href="#id5">
+     (2.) Usage
+    </a>
+</li>
+<li class="toc-h3 nav-item toc-entry">
+<a class="reference internal nav-link" href="#id6">
+     (3.) Review results
+    </a>
+</li>
+</ul>
+</li>
+</ul>
+</nav>
+</div>
+</div>
+<div class="article row">
+<div class="col pl-md-3 pl-lg-5 content-container">
+<!-- Table of contents that is only displayed when printing the page -->
+<div class="onlyprint" id="jb-print-docs-body">
+<h1>Question Answering</h1>
+<!-- Table of contents -->
+<div id="print-main-content">
+<div id="jb-print-toc">
+<div>
+<h2> Contents </h2>
+</div>
+<nav aria-label="Page">
+<ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#short-description-and-explenation">
+   Short description and explenation
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#background">
+   Background
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#requirements">
+   Requirements
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#documentation">
+   Documentation
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#demo-1">
+   Demo 1
+  </a>
+<ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry">
+<a class="reference internal nav-link" href="#import-the-function-import-mlrun-set-project-and-import-function">
+     (1.) Import the function (import mlrun, set project and import function)
+    </a>
+</li>
+<li class="toc-h3 nav-item toc-entry">
+<a class="reference internal nav-link" href="#usage">
+     (2.) Usage
+    </a>
+</li>
+<li class="toc-h3 nav-item toc-entry">
+<a class="reference internal nav-link" href="#review-results">
+     (3.) Review results
+    </a>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#demo-2">
+   Demo 2
+  </a>
+<ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry">
+<a class="reference internal nav-link" href="#id1">
+     (1.) Import the function (import mlrun, set project and import function)
+    </a>
+</li>
+<li class="toc-h3 nav-item toc-entry">
+<a class="reference internal nav-link" href="#id2">
+     (2.) Usage
+    </a>
+</li>
+<li class="toc-h3 nav-item toc-entry">
+<a class="reference internal nav-link" href="#id3">
+     (3.) Review results
+    </a>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#demo-3">
+   Demo 3
+  </a>
+<ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry">
+<a class="reference internal nav-link" href="#id4">
+     (1.) Import the function (import mlrun, set project and import function)
+    </a>
+</li>
+<li class="toc-h3 nav-item toc-entry">
+<a class="reference internal nav-link" href="#id5">
+     (2.) Usage
+    </a>
+</li>
+<li class="toc-h3 nav-item toc-entry">
+<a class="reference internal nav-link" href="#id6">
+     (3.) Review results
+    </a>
+</li>
+</ul>
+</li>
+</ul>
+</nav>
+</div>
+</div>
+</div>
+<main id="main-content" role="main">
+<div>
+<section id="question-answering">
+<h1>Question Answering<a class="headerlink" href="#question-answering" title="Permalink to this headline">#</a></h1>
+<section id="short-description-and-explenation">
+<h2>Short description and explenation<a class="headerlink" href="#short-description-and-explenation" title="Permalink to this headline">#</a></h2>
+<p>This function enables ad-hoc question answering over documents by ingesting text into a language model and returning formatted responses.<br/>
+It accepts:<br/></p>
+<ul class="simple">
+<li><p>A language model<br/></p></li>
+<li><p>Text files with content<br/></p></li>
+<li><p>Questions to answer<br/></p></li>
+<li><p>More inputs can be given for configuration <br/></p></li>
+</ul>
+<p>The model processes the files to build understanding. Questions posed are then answered in one of two modes:</p>
+<p>Default mode: <br/>
+The model directly answers each question using its own capabilities.</p>
+<p>Poll mode: <br/>
+Additional models are included to separately answer each question. An aggregation algorithm determines the best response through consensus between models.<br/>
+Two options exist for consensus methodology:<br/></p>
+<p>Average Answer: <br/>
+Each model’s answer is scored. The response with the average highest score amongst models is selected. Useful for numeric or ranked responses.</p>
+<p>Most Common Answer:<br/> The answer that occurs most frequently across models is selected. Useful for textual responses to avoid outliers.</p>
+<p>Using multiple models via the poll mode provides accuracy improvements for questions lacking definitive answers, as it refines responses through an ensemble process. <br/></p>
+</section>
+<section id="background">
+<h2>Background<a class="headerlink" href="#background" title="Permalink to this headline">#</a></h2>
+<p>At the core, advanced natural language processing (NLP) models called foundation models are being leveraged to read and comprehend the input text files. <br/>
+Specifically, models such as GPT-3 or Codex from Anthropic are used as the base language model.</p>
+<p>When documents are fed into the function, the background process invokes these models to ingest and digest the information.<br/></p>
+<p>This provides the knowledge base for the models to then offer informed answers tailored to any queries about the documents.<br/>
+The parameters controlling model size and computation time provide tradeoffs between cost, speed, and sophistication of comprehension.</p>
+<p>Additionally, the poll option expands on a single model by sampling responses from a number of models as mentioned above. <br/></p>
+</section>
+<section id="requirements">
+<h2>Requirements<a class="headerlink" href="#requirements" title="Permalink to this headline">#</a></h2>
+<p><code class="docutils literal notranslate"><span class="pre">transformers</span></code> <br/>
+<code class="docutils literal notranslate"><span class="pre">torch</span></code> <br/>
+<code class="docutils literal notranslate"><span class="pre">tqdm</span></code> <br/></p>
+</section>
+<section id="documentation">
+<h2>Documentation<a class="headerlink" href="#documentation" title="Permalink to this headline">#</a></h2>
+<p><code class="docutils literal notranslate"><span class="pre">data_path</span></code>:  A path to a directory of text files or a path to a text file to ask questions about. <br/></p>
+<p><code class="docutils literal notranslate"><span class="pre">model_name</span></code>: The pre-trained model name from the huggingface hub to use for answering questions. <br/></p>
+<p><code class="docutils literal notranslate"><span class="pre">questions</span></code>: The questions to ask. A list of lists of questions to ask per text file, and devided <br/>
+by question groups, the groups can be determained by size (in order to <br/>
+avoid large inputs to the llm) or by questioning method (regular or poll like questioning). <br/></p>
+<p><code class="docutils literal notranslate"><span class="pre">device_map</span></code>: A map to use for loading the model on multiple devices. <br/></p>
+<p><code class="docutils literal notranslate"><span class="pre">model_kwargs</span></code>: Keyword arguments to pass for loading the model using HuggingFace’s <br/>
+<em>transformers.AutoModelForCausalLM.from_pretrained</em> function. <br/></p>
+<p><code class="docutils literal notranslate"><span class="pre">auto_gptq_exllama_max_input_length</span></code>: For AutoGPTQ models to set and extend the model’s input buffer size. <br/></p>
+<p><code class="docutils literal notranslate"><span class="pre">tokenizer_name</span></code>: The tokenizer name from the huggingface hub to use. If not given, the given model name will be used. <br/></p>
+<p><code class="docutils literal notranslate"><span class="pre">tokenizer_kwargs</span></code>: Keyword arguments to pass for loading the tokenizer using HuggingFace’s <br/>
+<em>transformers.AutoTokenizer.from_pretrained</em> function. <br/></p>
+<p><code class="docutils literal notranslate"><span class="pre">text_wrapper</span></code>: Must have a placeholder (‘{}’) for the text of the file. <br/></p>
+<p><code class="docutils literal notranslate"><span class="pre">questions_wrapper</span></code>: A wrapper for the questions received. Will be added after the text wrapper in the prompt template. <br/>
+Must have a placeholder (‘{}’) for the questions. <br/></p>
+<p><code class="docutils literal notranslate"><span class="pre">generation_config</span></code>: HuggingFace’s <em>GenerationConfig</em> keyword arguments to pass to the <em>generate</em> method. <br/></p>
+<p><code class="docutils literal notranslate"><span class="pre">questions_config</span></code>: A dictionary or list of dictionaries containing specific ways to answer questions (using a poll for example), <br/>
+each dictionary in the list is for corresponding question group and determines the question asking method <br/>
+for said group. <br/></p>
+<p><code class="docutils literal notranslate"><span class="pre">batch_size</span></code>: Batch size for inference. <br/></p>
+<p><code class="docutils literal notranslate"><span class="pre">questions_columns</span></code>: Columns to use for the dataframe returned. <br/></p>
+<p><code class="docutils literal notranslate"><span class="pre">verbose</span></code>: Whether to present logs of a progress bar and errors. Default: True. <br/></p>
+</section>
+<section id="demo-1">
+<h2>Demo 1<a class="headerlink" href="#demo-1" title="Permalink to this headline">#</a></h2>
+<p>This is a short and simple example to show the basic use of the function.</p>
+<section id="import-the-function-import-mlrun-set-project-and-import-function">
+<h3>(1.) Import the function (import mlrun, set project and import function)<a class="headerlink" href="#import-the-function-import-mlrun-set-project-and-import-function" title="Permalink to this headline">#</a></h3>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">mlrun</span>
+<span class="kn">import</span> <span class="nn">transformers</span>
+<span class="kn">import</span> <span class="nn">tempfile</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">project</span> <span class="o">=</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">get_or_create_project</span><span class="p">(</span>
+    <span class="n">name</span><span class="o">=</span><span class="s2">"call-center-demo-1"</span><span class="p">,</span>
+    <span class="n">context</span><span class="o">=</span><span class="s2">"./"</span><span class="p">,</span>
+    <span class="n">user_project</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+    <span class="n">parameters</span><span class="o">=</span><span class="p">{</span>
+        <span class="s2">"default_image"</span><span class="p">:</span> <span class="s2">"mlrun/mlrun"</span><span class="p">,</span>
+    <span class="p">})</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">func</span> <span class="o">=</span> <span class="n">project</span><span class="o">.</span><span class="n">set_function</span><span class="p">(</span>
+    <span class="s2">"question-answering.py"</span><span class="p">,</span>
+    <span class="n">name</span><span class="o">=</span><span class="s2">"question-answering"</span><span class="p">,</span>
+    <span class="n">kind</span><span class="o">=</span><span class="s2">"job"</span><span class="p">,</span>
+    <span class="n">handler</span><span class="o">=</span><span class="s2">"answer_questions"</span><span class="p">,</span>
+<span class="p">)</span>
+<span class="n">project</span><span class="o">.</span><span class="n">save</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+</div>
+<p>We create a text file that the model can be asked about</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="k">def</span> <span class="nf">_make_data_dir_for_test</span><span class="p">():</span>
+    <span class="n">data_dir</span> <span class="o">=</span> <span class="n">tempfile</span><span class="o">.</span><span class="n">mkdtemp</span><span class="p">()</span>
+    <span class="c1"># The information the model will need in order to answer our question</span>
+    <span class="n">content</span> <span class="o">=</span> <span class="s2">"The apple is red."</span>
+    <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">data_dir</span> <span class="o">+</span> <span class="s2">"/test_data.txt"</span><span class="p">,</span> <span class="s2">"w"</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+        <span class="n">f</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="n">content</span><span class="p">)</span>
+    <span class="k">return</span> <span class="n">data_dir</span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="usage">
+<h3>(2.) Usage<a class="headerlink" href="#usage" title="Permalink to this headline">#</a></h3>
+<p>Then we set where to take the path to the text file we want to ask about, the questions, and column name for the answer table.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">input_path</span> <span class="o">=</span> <span class="n">_make_data_dir_for_test</span><span class="p">()</span>
+<span class="c1"># The question for the model to answer</span>
+<span class="n">question</span> <span class="o">=</span> <span class="p">[</span><span class="s2">"What is the color of the apple?"</span><span class="p">]</span>
+<span class="c1"># The column of the answer in the data frame returned by the function</span>
+<span class="n">column_name</span> <span class="o">=</span> <span class="p">[</span><span class="s2">"color"</span><span class="p">]</span>
+</pre></div>
+</div>
+</div>
+</div>
+<p>Now we run the function with all the parameters we prepered earlier</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">demo1_run</span> <span class="o">=</span> <span class="n">func</span><span class="o">.</span><span class="n">run</span><span class="p">(</span>
+    <span class="n">handler</span><span class="o">=</span><span class="s2">"answer_questions"</span><span class="p">,</span>
+    <span class="n">params</span><span class="o">=</span><span class="p">{</span>
+        <span class="s2">"model"</span><span class="p">:</span> <span class="s2">"distilgpt2"</span><span class="p">,</span>
+        <span class="s2">"input_path"</span><span class="p">:</span> <span class="n">input_path</span><span class="p">,</span>
+        <span class="s2">"questions"</span><span class="p">:</span> <span class="n">question</span><span class="p">,</span>
+        <span class="s2">"questions_columns"</span><span class="p">:</span> <span class="n">column_name</span><span class="p">,</span>
+        <span class="s2">"generation_config"</span><span class="p">:</span> <span class="p">{</span>
+            <span class="s2">"do_sample"</span><span class="p">:</span> <span class="kc">True</span><span class="p">,</span>
+            <span class="s2">"temperature"</span><span class="p">:</span> <span class="mf">0.8</span><span class="p">,</span>
+            <span class="s2">"top_p"</span><span class="p">:</span> <span class="mf">0.9</span><span class="p">,</span>
+            <span class="s2">"early_stopping"</span><span class="p">:</span> <span class="kc">True</span><span class="p">,</span>
+            <span class="s2">"max_new_tokens"</span><span class="p">:</span> <span class="mi">20</span><span class="p">,</span>
+        <span class="p">},</span>
+    <span class="p">},</span>
+    <span class="n">returns</span><span class="o">=</span><span class="p">[</span>
+        <span class="s2">"question_answering_df: dataset"</span><span class="p">,</span>
+        <span class="s2">"question_answering_errors: result"</span><span class="p">,</span>
+    <span class="p">],</span>
+    <span class="n">local</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+    <span class="n">artifact_path</span><span class="o">=</span><span class="s2">"./"</span>
+<span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="review-results">
+<h3>(3.) Review results<a class="headerlink" href="#review-results" title="Permalink to this headline">#</a></h3>
+<p>and after the run is finished we can take a look and see our answer</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">demo1_run</span><span class="o">.</span><span class="n">outputs</span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+</section>
+<section id="demo-2">
+<h2>Demo 2<a class="headerlink" href="#demo-2" title="Permalink to this headline">#</a></h2>
+<p>This is a much larger example, we will show how we use this function to analyze a number of calls between agents and customer of a internet company (all the data is generated by Iguazio). <br/>
+For something like this, we recomend using a strong model, and putting some time into making the prompts.</p>
+<section id="id1">
+<h3>(1.) Import the function (import mlrun, set project and import function)<a class="headerlink" href="#id1" title="Permalink to this headline">#</a></h3>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">import</span> <span class="nn">mlrun</span>
+<span class="kn">import</span> <span class="nn">torch</span>
+<span class="kn">from</span> <span class="nn">transformers</span> <span class="kn">import</span> <span class="n">AutoModelForCausalLM</span><span class="p">,</span> <span class="n">AutoTokenizer</span><span class="p">,</span> <span class="n">BitsAndBytesConfig</span><span class="p">,</span> <span class="n">pipeline</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&gt; 2023-12-18 10:18:37,490 [warning] Client version with higher version than server version isn't supported, align your client to the server version: {'parsed_server_version': Version(major=1, minor=5, patch=2, prerelease='rc1', build='track'), 'parsed_client_version': Version(major=1, minor=6, patch=0, prerelease='rc11', build=None)}
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">project</span> <span class="o">=</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">get_or_create_project</span><span class="p">(</span>
+    <span class="n">name</span><span class="o">=</span><span class="s2">"call-center-demo-2"</span><span class="p">,</span>
+    <span class="n">context</span><span class="o">=</span><span class="s2">"./"</span><span class="p">,</span>
+    <span class="n">user_project</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+    <span class="n">parameters</span><span class="o">=</span><span class="p">{</span>
+        <span class="s2">"default_image"</span><span class="p">:</span> <span class="s2">"mlrun/mlrun"</span><span class="p">,</span>
+    <span class="p">})</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&gt; 2023-12-18 10:18:51,651 [info] Project loaded successfully: {'project_name': 'call-center-demo-zeev55'}
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">func</span> <span class="o">=</span> <span class="n">project</span><span class="o">.</span><span class="n">set_function</span><span class="p">(</span>
+    <span class="s2">"question-answering.py"</span><span class="p">,</span>
+    <span class="n">name</span><span class="o">=</span><span class="s2">"question-answering"</span><span class="p">,</span>
+    <span class="n">kind</span><span class="o">=</span><span class="s2">"job"</span><span class="p">,</span>
+    <span class="n">handler</span><span class="o">=</span><span class="s2">"answer_questions"</span><span class="p">,</span>
+<span class="p">)</span>
+<span class="n">project</span><span class="o">.</span><span class="n">save</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;mlrun.projects.project.MlrunProject at 0x7f8bc5b0a370&gt;
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="id2">
+<h3>(2.) Usage<a class="headerlink" href="#id2" title="Permalink to this headline">#</a></h3>
+<p>This example is a bit more complicated as we mentioned, we give the model a list of questions, for some of them we give the model a list of answers to choose from.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">QUESTIONS</span> <span class="o">=</span> <span class="p">[</span>
+    <span class="s2">"1. Write a long summary of the text, focus on the topic (max 50 words)."</span><span class="p">,</span>
+    <span class="s2">"2. Was the Client's concern addressed, (choose only one) [Yes, No]?"</span><span class="p">,</span>
+    <span class="p">]</span>
+
+<span class="n">qa_questions_columns</span> <span class="o">=</span> <span class="p">[</span>
+                        <span class="s2">"Summary"</span><span class="p">,</span>
+                        <span class="s2">"is_fixed"</span><span class="p">,</span>
+                        <span class="p">]</span>
+</pre></div>
+</div>
+</div>
+</div>
+<p>Another thing we give the model this time is answer examples (one/few shot answering), this can be done to show the model how you want the answer to be structured or caculated. <br/></p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># For every file we ask about, the model will be presented with this example of a call and how we want the answers.</span>
+<span class="n">DEMO_CALL</span> <span class="o">=</span> <span class="p">(</span>
+    <span class="s2">"Agent: Good afternoon, you've reached [Internet Service Provider] customer support. I'm Megan. How can I assist "</span>
+    <span class="s2">"you today?</span><span class="se">\n</span><span class="s2">"</span>
+    <span class="s2">"Customer: Hello, Megan. This is Lisa. I've noticed some billing discrepancies on my last statement.</span><span class="se">\n</span><span class="s2">"</span>
+    <span class="s2">"Agent: Thank you, Lisa. Let me pull up your account. I see the billing discrepancies you mentioned. It appears "</span>
+    <span class="s2">"there was an error in the charges. I apologize for the inconvenience.</span><span class="se">\n</span><span class="s2">"</span>
+    <span class="s2">"Customer: Thank you for acknowledging the issue, Megan. Can you please help me get it resolved?</span><span class="se">\n</span><span class="s2">"</span>
+    <span class="s2">"Agent: Absolutely, Lisa. I've made note of the discrepancies, and I'll escalate this to our billing department "</span>
+    <span class="s2">"for investigation and correction. You should see the adjustments on your next statement.</span><span class="se">\n</span><span class="s2">"</span>
+    <span class="s2">"Customer: That sounds good, Megan. I appreciate your help.</span><span class="se">\n</span><span class="s2">"</span>
+    <span class="s2">"Agent: Not a problem, Lisa. Have a wonderful day, and we'll get this sorted out for you.</span><span class="se">\n</span><span class="s2">"</span>
+<span class="p">)</span>
+
+<span class="n">DEMO_ANSWERS</span> <span class="o">=</span> <span class="p">(</span>
+    <span class="s2">"1. The customer, contacted the call center regarding billing discrepancies on her statement. The agent, "</span>
+    <span class="s2">"acknowledged the issue, assured The customer it would be resolved, and escalated it to the billing department for "</span>
+    <span class="s2">"correction.</span><span class="se">\n</span><span class="s2">"</span>
+    <span class="s2">"2. Yes.</span><span class="se">\n</span><span class="s2">"</span>
+</pre></div>
+</div>
+</div>
+</div>
+<p>Then we need to wrap it all nicely to be given to the model as a single prompt, this is done with a text wrapper, and a question wrapper. <br/>
+both of them will be concatenated inside the function with the questions and passed to the model.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># The wrappers are built according to the model's convensions to improve result</span>
+<span class="n">TEXT_WRAPPER</span> <span class="o">=</span> <span class="p">(</span>
+    <span class="sa">f</span><span class="s2">"&lt;|im_start|&gt;system: You are an AI assistant that answers questions accurately and shortly&lt;|im_end|&gt;</span><span class="se">\n</span><span class="s2">"</span>
+    <span class="sa">f</span><span class="s2">"&lt;|im_start|&gt;user: Given the following text:</span><span class="se">\n</span><span class="s2">"</span>
+    <span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">DEMO_CALL</span><span class="si">}</span><span class="se">\n</span><span class="s2">"</span>
+    <span class="sa">f</span><span class="s2">"answer the questions as accurately as you can:</span><span class="se">\n</span><span class="s2">"</span>
+    <span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">QUESTIONS</span><span class="si">}</span><span class="s2">&lt;|im_end|&gt;</span><span class="se">\n</span><span class="s2">"</span>
+    <span class="sa">f</span><span class="s2">"&lt;|im_start|&gt;assistant:</span><span class="se">\n</span><span class="s2">"</span>
+    <span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">DEMO_ANSWERS</span><span class="si">}</span><span class="s2">&lt;|im_end|&gt;</span><span class="se">\n</span><span class="s2">"</span>
+    <span class="sa">f</span><span class="s2">"&lt;|im_start|&gt;user: Given the following text:</span><span class="se">\n</span><span class="s2">"</span>
+    <span class="s2">"</span><span class="si">{}</span><span class="s2">"</span>
+<span class="p">)</span> 
+<span class="n">QUESTIONS_WRAPPER</span> <span class="o">=</span> <span class="p">(</span>
+    <span class="s2">" answer the given questions as accurately as you can, do not write more answers the questions:</span><span class="se">\n</span><span class="s2">"</span>
+    <span class="s2">"</span><span class="si">{}</span><span class="s2">&lt;|im_end|&gt;</span><span class="se">\n</span><span class="s2">"</span>
+    <span class="s2">"&lt;|im_start|&gt;assistant:</span><span class="se">\n</span><span class="s2">"</span>
+<span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+<p>The last few parameters we need to set are the model we will use, the input lenth (no available for all models) and the batch size. <br/>
+The batch size determains how many files we want procced at each epoch, and the larger we go the faster the proccess will be, as long as our memory is sufficient.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># We like this version of mistral's model, which is small and fast but also gives great results</span>
+<span class="n">qa_model</span> <span class="o">=</span> <span class="s2">"TheBloke/Mistral-7B-OpenOrca-GPTQ"</span>
+</pre></div>
+</div>
+</div>
+</div>
+<p>Finnaly, we run the function with all the parameters we prepared.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Question answering:</span>
+<span class="n">demo2_run</span> <span class="o">=</span> <span class="n">func</span><span class="o">.</span><span class="n">run</span><span class="p">(</span>
+    <span class="n">function</span><span class="o">=</span><span class="s2">"question-answering"</span><span class="p">,</span>
+    <span class="n">local</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+    <span class="n">handler</span><span class="o">=</span><span class="s2">"answer_questions"</span><span class="p">,</span>
+    <span class="n">inputs</span><span class="o">=</span><span class="p">{</span><span class="s2">"data_path"</span><span class="p">:</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">abspath</span><span class="p">(</span><span class="s2">"./calls"</span><span class="p">)},</span>
+    <span class="n">params</span><span class="o">=</span><span class="p">{</span>
+        <span class="s2">"model_name"</span><span class="p">:</span> <span class="n">qa_model</span><span class="p">,</span>
+        <span class="s2">"device_map"</span><span class="p">:</span> <span class="s2">"auto"</span><span class="p">,</span>
+        <span class="s2">"text_wrapper"</span><span class="p">:</span><span class="n">TEXT_WRAPPER</span><span class="p">,</span>
+        <span class="s2">"questions"</span><span class="p">:</span> <span class="n">QUESTIONS</span><span class="p">,</span>
+        <span class="s2">"questions_wrapper"</span><span class="p">:</span> <span class="n">QUESTIONS_WRAPPER</span><span class="p">,</span>
+        <span class="s2">"questions_columns"</span><span class="p">:</span> <span class="n">qa_questions_columns</span><span class="p">,</span>
+    <span class="p">},</span>
+    <span class="n">returns</span><span class="o">=</span><span class="p">[</span>
+        <span class="s2">"question_answering_df: dataset"</span><span class="p">,</span>
+        <span class="s2">"question_answering_errors: result"</span><span class="p">,</span>
+    <span class="p">],</span>
+<span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="id3">
+<h3>(3.) Review results<a class="headerlink" href="#id3" title="Permalink to this headline">#</a></h3>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">demo2_run</span><span class="o">.</span><span class="n">outputs</span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+</section>
+<section id="demo-3">
+<h2>Demo 3<a class="headerlink" href="#demo-3" title="Permalink to this headline">#</a></h2>
+<p>This is also a large example, in this case we use another option of the function to ask questions in the form of a poll.</p>
+<section id="id4">
+<h3>(1.) Import the function (import mlrun, set project and import function)<a class="headerlink" href="#id4" title="Permalink to this headline">#</a></h3>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">import</span> <span class="nn">mlrun</span>
+<span class="kn">import</span> <span class="nn">torch</span>
+<span class="kn">from</span> <span class="nn">transformers</span> <span class="kn">import</span> <span class="n">AutoModelForCausalLM</span><span class="p">,</span> <span class="n">AutoTokenizer</span><span class="p">,</span> <span class="n">BitsAndBytesConfig</span><span class="p">,</span> <span class="n">pipeline</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&gt; 2023-12-18 10:18:37,490 [warning] Client version with higher version than server version isn't supported, align your client to the server version: {'parsed_server_version': Version(major=1, minor=5, patch=2, prerelease='rc1', build='track'), 'parsed_client_version': Version(major=1, minor=6, patch=0, prerelease='rc11', build=None)}
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">project</span> <span class="o">=</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">get_or_create_project</span><span class="p">(</span>
+    <span class="n">name</span><span class="o">=</span><span class="s2">"call-center-demo-3"</span><span class="p">,</span>
+    <span class="n">context</span><span class="o">=</span><span class="s2">"./"</span><span class="p">,</span>
+    <span class="n">user_project</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+    <span class="n">parameters</span><span class="o">=</span><span class="p">{</span>
+        <span class="s2">"default_image"</span><span class="p">:</span> <span class="s2">"mlrun/mlrun"</span><span class="p">,</span>
+    <span class="p">})</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&gt; 2023-12-18 10:18:51,651 [info] Project loaded successfully: {'project_name': 'call-center-demo-zeev55'}
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">func</span> <span class="o">=</span> <span class="n">project</span><span class="o">.</span><span class="n">set_function</span><span class="p">(</span>
+    <span class="s2">"question-answering.py"</span><span class="p">,</span>
+    <span class="n">name</span><span class="o">=</span><span class="s2">"question-answering"</span><span class="p">,</span>
+    <span class="n">kind</span><span class="o">=</span><span class="s2">"job"</span><span class="p">,</span>
+    <span class="n">handler</span><span class="o">=</span><span class="s2">"answer_questions"</span><span class="p">,</span>
+<span class="p">)</span>
+<span class="n">project</span><span class="o">.</span><span class="n">save</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;mlrun.projects.project.MlrunProject at 0x7f8bc5b0a370&gt;
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="id5">
+<h3>(2.) Usage<a class="headerlink" href="#id5" title="Permalink to this headline">#</a></h3>
+<p>Like in the second demo, we make a list of questions for the function to answer.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># These questions are harder to answer, as there is no right answer.</span>
+<span class="c1"># So we want it to be at least consistent, for that we use the poll option.</span>
+<span class="n">QUESTIONS</span> <span class="o">=</span> <span class="p">[</span>
+    <span class="s2">"1. Rate the agent's level of empathy (The ability to understand and share the feelings of others) on a scale of 1-5."</span><span class="p">,</span>
+    <span class="s2">"2. Rate the agent's level of professionalism (Conducting oneself in a way that is appropriate for the workplace) on a scale of 1-5."</span><span class="p">,</span>
+<span class="p">]</span>
+
+<span class="n">qa_questions_columns</span> <span class="o">=</span> <span class="p">[</span>
+                        <span class="s2">"empathy"</span><span class="p">,</span>
+                        <span class="s2">"professionalism"</span><span class="p">,</span>
+
+                        <span class="p">]</span>
+</pre></div>
+</div>
+</div>
+</div>
+<p>Another thing we give the model this time is answer examples (one/few shot answering), this can be done to show the model how you want the answer to be structured or caculated. <br/>
+So for every file we ask about, the model will be presented with this example of a call and how we want the answers.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># For every file we ask about, the model will be presented with this example of a call and how we want the answers.</span>
+<span class="n">DEMO_CALL</span> <span class="o">=</span> <span class="p">(</span>
+    <span class="s2">"Agent: Good afternoon, you've reached [Internet Service Provider] customer support. I'm Megan. How can I assist "</span>
+    <span class="s2">"you today?</span><span class="se">\n</span><span class="s2">"</span>
+    <span class="s2">"Customer: Hello, Megan. This is Lisa. I've noticed some billing discrepancies on my last statement.</span><span class="se">\n</span><span class="s2">"</span>
+    <span class="s2">"Agent: Thank you, Lisa. Let me pull up your account. I see the billing discrepancies you mentioned. It appears "</span>
+    <span class="s2">"there was an error in the charges. I apologize for the inconvenience.</span><span class="se">\n</span><span class="s2">"</span>
+    <span class="s2">"Customer: Thank you for acknowledging the issue, Megan. Can you please help me get it resolved?</span><span class="se">\n</span><span class="s2">"</span>
+    <span class="s2">"Agent: Absolutely, Lisa. I've made note of the discrepancies, and I'll escalate this to our billing department "</span>
+    <span class="s2">"for investigation and correction. You should see the adjustments on your next statement.</span><span class="se">\n</span><span class="s2">"</span>
+    <span class="s2">"Customer: That sounds good, Megan. I appreciate your help.</span><span class="se">\n</span><span class="s2">"</span>
+    <span class="s2">"Agent: Not a problem, Lisa. Have a wonderful day, and we'll get this sorted out for you.</span><span class="se">\n</span><span class="s2">"</span>
+<span class="p">)</span>
+
+
+<span class="n">DEMO_ANSWERS</span> <span class="o">=</span> <span class="p">(</span>
+    <span class="s2">"1. 4</span><span class="se">\n</span><span class="s2">"</span>
+    <span class="s2">"2. 5</span><span class="se">\n</span><span class="s2">"</span>
+
+<span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+<p>Then we need to wrap it all nicely to be given to the model as a single prompt, this is done with a text wrapper, and a question wrapper. <br/>
+both of them will be concatenated inside the function with the questions and passed to the model.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">TEXT_WRAPPER</span> <span class="o">=</span> <span class="p">(</span>
+    <span class="sa">f</span><span class="s2">"&lt;|im_start|&gt;system: You are an AI assistant that answers questions accurately and shortly&lt;|im_end|&gt;</span><span class="se">\n</span><span class="s2">"</span>
+    <span class="sa">f</span><span class="s2">"&lt;|im_start|&gt;user: Given the following text:</span><span class="se">\n</span><span class="s2">"</span>
+    <span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">DEMO_CALL</span><span class="si">}</span><span class="se">\n</span><span class="s2">"</span>
+    <span class="sa">f</span><span class="s2">"answer the questions as accurately as you can:</span><span class="se">\n</span><span class="s2">"</span>
+    <span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">QUESTIONS</span><span class="si">}</span><span class="s2">&lt;|im_end|&gt;</span><span class="se">\n</span><span class="s2">"</span>
+    <span class="sa">f</span><span class="s2">"&lt;|im_start|&gt;assistant:</span><span class="se">\n</span><span class="s2">"</span>
+    <span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">DEMO_ANSWERS</span><span class="si">}</span><span class="s2">&lt;|im_end|&gt;</span><span class="se">\n</span><span class="s2">"</span>
+    <span class="sa">f</span><span class="s2">"&lt;|im_start|&gt;user: Given the following text:</span><span class="se">\n</span><span class="s2">"</span>
+    <span class="s2">"</span><span class="si">{}</span><span class="s2">"</span>
+<span class="p">)</span> 
+
+<span class="n">QUESTIONS_WRAPPER</span> <span class="o">=</span> <span class="p">(</span>
+    <span class="s2">" answer the given questions as accurately as you can, do not write more answers the questions:</span><span class="se">\n</span><span class="s2">"</span>
+    <span class="s2">"</span><span class="si">{}</span><span class="s2">&lt;|im_end|&gt;</span><span class="se">\n</span><span class="s2">"</span>
+    <span class="s2">"&lt;|im_start|&gt;assistant:</span><span class="se">\n</span><span class="s2">"</span>
+<span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+<p>The config is for the second questioning method, we cal “poll”, and in which we need to choose how many voting models we want participating,<br/>
+and in what way we want do decide the result, we currentlly support <code class="docutils literal notranslate"><span class="pre">average</span></code> and <code class="docutils literal notranslate"><span class="pre">most_common</span></code> as show here.<br/></p>
+<p>*An explenation about both questioning methods can be found in the begginig of this notebook</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">questions_config</span> <span class="o">=</span> 
+    <span class="p">{</span>
+        <span class="s2">"type"</span><span class="p">:</span> <span class="s2">"poll"</span><span class="p">,</span>
+        <span class="s2">"poll_count"</span><span class="p">:</span> <span class="mi">3</span><span class="p">,</span> <span class="c1"># How many 'voters'</span>
+        <span class="s2">"poll_strategy"</span><span class="p">:</span> <span class="s2">"most_common"</span>
+    <span class="p">}</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">qa_model</span> <span class="o">=</span> <span class="s2">"TheBloke/Mistral-7B-OpenOrca-GPTQ"</span>
+</pre></div>
+</div>
+</div>
+</div>
+<p>Finnaly, we run the function with all the parameters we prepared.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Question answering:</span>
+<span class="n">demo3_run</span> <span class="o">=</span> <span class="n">func</span><span class="o">.</span><span class="n">run</span><span class="p">(</span>
+    <span class="n">function</span><span class="o">=</span><span class="s2">"question-answering"</span><span class="p">,</span>
+    <span class="n">local</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+    <span class="n">handler</span><span class="o">=</span><span class="s2">"answer_questions"</span><span class="p">,</span>
+    <span class="n">inputs</span><span class="o">=</span><span class="p">{</span><span class="s2">"data_path"</span><span class="p">:</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">abspath</span><span class="p">(</span><span class="s2">"./calls"</span><span class="p">)},</span>
+    <span class="n">params</span><span class="o">=</span><span class="p">{</span>
+        <span class="s2">"model_name"</span><span class="p">:</span> <span class="n">qa_model</span><span class="p">,</span>
+        <span class="s2">"device_map"</span><span class="p">:</span> <span class="s2">"auto"</span><span class="p">,</span>
+        <span class="s2">"text_wrapper"</span><span class="p">:</span><span class="n">TEXT_WRAPPER</span><span class="p">,</span>
+        <span class="s2">"questions"</span><span class="p">:</span> <span class="n">QUESTIONS</span><span class="p">,</span>
+        <span class="s2">"questions_wrapper"</span><span class="p">:</span> <span class="n">QUESTIONS_WRAPPER</span><span class="p">,</span>
+        <span class="s2">"questions_columns"</span><span class="p">:</span> <span class="n">qa_questions_columns</span><span class="p">,</span>
+        <span class="s2">"questions_config"</span><span class="p">:</span> <span class="n">questions_config</span><span class="p">,</span> <span class="c1"># This time we add 'questions_config'</span>
+    <span class="p">},</span>
+    <span class="n">returns</span><span class="o">=</span><span class="p">[</span>
+        <span class="s2">"question_answering_df: dataset"</span><span class="p">,</span>
+        <span class="s2">"question_answering_errors: result"</span><span class="p">,</span>
+    <span class="p">],</span>
+<span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="id6">
+<h3>(3.) Review results<a class="headerlink" href="#id6" title="Permalink to this headline">#</a></h3>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">demo3_run</span><span class="o">.</span><span class="n">outputs</span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+</section>
+</section>
+</div>
+</main>
+<footer class="footer-article noprint">
+<!-- Previous / next buttons -->
+<div class="prev-next-area">
+</div>
+</footer>
+</div>
+</div>
+<div class="footer-content row">
+<footer class="col footer"><p>
+  
+      © Copyright .<br>
+</br></p>
+</footer>
+</div>
+</div>
+</div>
+</div>
+<!-- Scripts loaded after <body> so the DOM is not blocked -->
+<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf"></script>
+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/question_answering/0.4.0/static/function.html b/functions/master/question_answering/0.4.0/static/function.html
new file mode 100644
index 00000000..dbaf6ff6
--- /dev/null
+++ b/functions/master/question_answering/0.4.0/static/function.html
@@ -0,0 +1,241 @@
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta content="IE=edge" http-equiv="X-UA-Compatible">
+    <meta content="width=device-width, initial-scale=1.0" name="viewport">
+    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/styles/atom-one-dark.min.css">
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/highlight.min.js"></script>
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/languages/yaml.min.js"></script>
+    <title>Source</title>
+    <script>hljs.highlightAll();</script>
+</head>
+
+<body style="background-color:darkgray; margin: 0 0 0 0;">
+    <pre style="margin: 0 1em;">
+        <code class="yaml">
+kind: job
+metadata:
+  name: question-answering
+  tag: ''
+  hash: aed62db95f17576c69b457767e3595c2de1d5465
+  project: ''
+  labels:
+    author: yonish
+  categories:
+  - genai
+  - huggingface
+  - machine-learning
+spec:
+  command: ''
+  args: []
+  image: ''
+  build:
+    functionSourceCode: # Copyright 2023 Iguazio
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import enum
import logging
import operator
import pathlib
from collections import Counter
from functools import reduce, wraps
from typing import Any, Dict, List, Tuple, Union

import pandas as pd
import transformers
from tqdm import tqdm

# Get the global logger:
_LOGGER = logging.getLogger()


def _check_mlrun_and_open_mpi() -> Tuple["mlrun.MLClientCtx", "mpi4py.MPI.Intracomm"]:
    global _LOGGER

    is_mpi = False
    try:
        import mlrun

        context = mlrun.get_or_create_ctx(name="mlrun")
        _LOGGER = context.logger
        is_mpi = context.labels.get("kind", "job") == "mpijob"

        if is_mpi:
            try:
                from mpi4py import MPI

                return context, MPI.COMM_WORLD
            except ModuleNotFoundError as mpi4py_not_found:
                context.logger.error(
                    "To distribute the function using MLRun's 'mpijob' you need to have `mpi4py` package in your "
                    "interpreter. Please run `pip install mpi4py` and make sure you have open-mpi."
                )
                raise mpi4py_not_found
    except ModuleNotFoundError as module_not_found:
        if is_mpi:
            raise module_not_found
    return None, None


def open_mpi_handler(
    worker_inputs: List[str], root_worker_inputs: Dict[str, Any] = None
):
    global _LOGGER

    # Check for MLRun and OpenMPI availability:
    context, comm = _check_mlrun_and_open_mpi()

    def decorator(handler):
        if comm is None or comm.Get_size() == 1:
            return handler

        @wraps(handler)
        def wrapper(**kwargs):
            # Get the open mpi environment properties:
            size = comm.Get_size()
            rank = comm.Get_rank()

            # Give the correct chunk of the workers inputs:
            for worker_input in worker_inputs:
                input_argument = kwargs[worker_input]
                if input_argument is None:
                    continue
                if isinstance(input_argument, str):
                    input_argument = _get_text_files(
                        data_path=pathlib.Path(input_argument).absolute()
                    )
                if len(input_argument) < size:
                    raise ValueError(
                        f"Cannot split the input '{worker_input}' of length {len(input_argument)} to {size} workers. "
                        f"Please reduce the amount of workers for this input."
                    )
                even_chunk_size = len(input_argument) // size
                chunk_start = rank * even_chunk_size
                chunk_end = (
                    (rank + 1) * even_chunk_size
                    if rank + 1 < size
                    else len(input_argument)
                )
                context.logger.info(
                    f"Rank #{rank}: Processing input chunk of '{worker_input}' "
                    f"from index {chunk_start} to {chunk_end}."
                )
                if isinstance(input_argument, list):
                    input_argument = input_argument[chunk_start:chunk_end]
                elif isinstance(input_argument, pd.DataFrame):
                    input_argument = input_argument.iloc[chunk_start:chunk_end:, :]
                kwargs[worker_input] = input_argument

            # Set the root worker only arguments:
            if rank == 0 and root_worker_inputs:
                kwargs.update(root_worker_inputs)

            # Run the worker:
            output = handler(**kwargs)

            # Send the output to the root rank (rank #0):
            output = comm.gather(output, root=0)
            if rank == 0:
                # Join the outputs:
                context.logger.info("Collecting data from workers to root worker.")
                dataframe = pd.concat(objs=[df for df, _ in output], axis=0)
                errors_dictionary = reduce(operator.ior, [err for _, err in output], {})
                return dataframe, errors_dictionary
            return None

        return wrapper

    return decorator


@open_mpi_handler(worker_inputs=["data_path"], root_worker_inputs={"verbose": True})
def answer_questions(
    data_path: Union[str, List[str]],
    model_name: str,
    questions: Union[List[str], List[List[str]]],
    device_map: Union[str, dict] = None,
    model_kwargs: dict = None,
    auto_gptq_exllama_max_input_length: int = None,
    tokenizer_name: str = None,
    tokenizer_kwargs: dict = None,
    text_wrapper: Union[str, List[str]] = "",
    questions_wrapper: Union[str, List[str]] = "",
    generation_config: Union[Dict, List[Dict]] = None,
    questions_config: Union[Dict, List[Dict]] = None,
    batch_size: int = 1,
    questions_columns: List[str] = None,
    verbose: bool = False,
) -> Tuple[pd.DataFrame, dict]:
    """
    Answer questions with a context to the given text files contents by a pretrained LLM model. Each text file will have
    the following prompt built:

    start of `text_wrapper`
    <text file content>
    end of `text_wrapper`

    start of `questions_wrapper`
    1. <questions[0]>
    2. <questions[1]>
    ...
    n. <questions[n-1]>
    end of `questions_wrapper`

    :param data_path:                          A path to a directory of text files or a path to a text file to ask
                                               questions about.
    :param model_name:                         The pre-trained model name from the huggingface hub to use for asking
                                               questions.
    :param questions:                          The questions to ask.
                                               A list of lists of questions to ask per text file, and devided
                                               by question groups, the groups can be dtermained by size (in order to
                                               avoid large inputs to the llm) or by questioning method
                                               (regular or poll like questioning).
    :param device_map:                         A map to use for loading the model on multiple devices.
    :param model_kwargs:                       Keyword arguments to pass for loading the model using HuggingFace's
                                               `transformers.AutoModelForCausalLM.from_pretrained` function.
    :param auto_gptq_exllama_max_input_length: For AutoGPTQ models to set and extend the model's input buffer size.
    :param tokenizer_name:                     The tokenizer name from the huggingface hub to use. If not given, the
                                               model name will be used.
    :param tokenizer_kwargs:                   Keyword arguments to pass for loading the tokenizer using HuggingFace's
                                               `transformers.AutoTokenizer.from_pretrained` function.
    :param text_wrapper:                       A wrapper for the file's text. Will be added at the start of the prompt.
                                               Must have a placeholder ('{}') for the text of the file.
    :param questions_wrapper:                  A wrapper for the questions received. Will be added after the text
                                               wrapper in the prompt template. Must have a placeholder ('{}') for the
                                               questions.
    :param generation_config:                  HuggingFace's `GenerationConfig` keyword arguments to pass to the
                                               `generate` method.
    :param questions_config:                   A dictionary or list of dictionaries containing specific ways to answer
                                               questions (using a poll for example), each dictionary in the list is for
                                               corresponding question group and determines the question asking method
                                               for said group.
    :param batch_size:                         Batch size for inference.
    :param questions_columns:                  Columns to use for the dataframe returned.
    :param verbose:                            Whether to present logs of a progress bar and errors. Default: True.


    :returns: A tuple of:

              * A dataframe dataset of the questions answers.
              * A dictionary of errored files that were not inferred or were not answered properly.
    """
    global _LOGGER

    # Set configs to empty dict if not given:
    if generation_config is None:
        generation_config = {}
    if questions_config is None:
        questions_config = {}

    # Get the input text files to question:
    if verbose:
        _LOGGER.info("Collecting text files.")
    if isinstance(data_path, str):
        data_path = pathlib.Path(data_path).absolute()
        text_files = _get_text_files(data_path=data_path)
    else:
        text_files = data_path
    if verbose:
        _LOGGER.info(f"Collected {len(text_files)} text files.")

    # Get the prompt template:
    if verbose:
        _LOGGER.info("Creating prompt template.")

    # Organize questions as a list of list, and count number of sub-lists for future use
    number_of_question_groups = 1 if isinstance(questions[0], str) else len(questions)
    questions = _to_group_list(
        argument_value=questions,
        argument_name="questions",
        length=number_of_question_groups,
    )

    # Organize prompt parts at proper length
    text_wrapper = _to_group_list(
        argument_value=text_wrapper,
        argument_name="text_wrapper",
        length=number_of_question_groups,
    )
    questions_wrapper = _to_group_list(
        argument_value=questions_wrapper,
        argument_name="questions_wrapper",
        length=number_of_question_groups,
    )

    # Create a list of prompt according to given parts and questions
    prompt_template = []
    questions = questions if isinstance(questions[0], list) else [questions]

    # Build all prompts
    for i in range(number_of_question_groups):
        prompt_template.append(
            _get_prompt_template(
                text_wrapper=text_wrapper[i],
                questions_wrapper=questions_wrapper[i],
                questions=questions[i],
            )
        )
    if verbose:
        _LOGGER.info(f"Prompt template created:\n\n{prompt_template}\n")

    # Get the total amount of questions:
    questions_amount = sum([len(sublist) for sublist in questions])

    # Get the questions columns:
    questions_columns = questions_columns or [
        f"q{i}" for i in range(1, questions_amount + 1)
    ]

    # Check if we have the correct amount of questions columns:
    if len(questions_columns) != questions_amount:
        raise ValueError(
            f"The provided questions columns length ({len(questions_columns)}) "
            f"does not match the questions amount ({questions_amount})"
        )

    # Load the generation config:
    if verbose:
        _LOGGER.info("Loading generation configuration.")
    generation_config = [
        transformers.GenerationConfig(**(cfg or {}))
        for cfg in _to_group_list(
            argument_value=generation_config,
            argument_name="generation_config",
            length=number_of_question_groups,
        )
    ]
    if verbose:
        _LOGGER.info(f"Generation configuration loaded: {generation_config}")

    # Load the model and tokenizer into a pipeline object:
    if verbose:
        _LOGGER.info(f"Loading model '{model_name}'.")
    generation_pipeline = _get_generation_pipeline(
        model_name=model_name,
        device_map=device_map,
        tokenizer_name=tokenizer_name or model_name,
        model_kwargs=model_kwargs or {},
        tokenizer_kwargs=tokenizer_kwargs or {},
        auto_gptq_exllama_max_input_length=auto_gptq_exllama_max_input_length,
        batch_size=batch_size,
    )
    if verbose:
        _LOGGER.info("Model loaded.")

    # Prepare the successes dataframe and errors dictionary to be returned:
    successes = []
    errors = {}

    # Split the files into batches:
    file_batches = [
        text_files[i : i + batch_size]
        if i + batch_size < len(text_files)
        else text_files[i:]
        for i in range(0, len(text_files), batch_size)
    ]
    questions_config = _to_group_list(
        argument_value=questions_config,
        argument_name="questions_config",
        length=number_of_question_groups,
    )

    # Create a list of question handlers according to given configs
    handlers = []
    for cfg in questions_config:
        question_type = cfg.pop("type", "default")
        handlers.append(QUESTION_MAPPING.get(question_type)(**cfg))

    # Go over the batches of text files and question them:
    for file_batch in tqdm(
        file_batches,
        desc="Generating answers",
        unit=f"file (batch of {batch_size})",
        disable=not verbose,
    ):
        try:
            total_answers = [[] for _ in range(batch_size)]

            # Go over all question group per batch of documents
            for question_group in range(number_of_question_groups):
                current_questions_amount = len(questions[question_group])

                # Read batch (read the text from the text files):
                batched_input = _read_file_batch(
                    file_batch=file_batch,
                    prompt_template=prompt_template[question_group],
                )

                # Answer the questions with each question handler:
                batched_answers = handlers[question_group].answer(
                    questions_amount=current_questions_amount,
                    batched_input=batched_input,
                    generation_pipeline=generation_pipeline,
                    generation_config=generation_config[question_group],
                )

                # Put the answers in the correct place in the total answers list according to the place in the batch:
                for i in range(batch_size):
                    total_answers[i].extend(batched_answers[i])

            # Collect the answers and attach the file name:
            successes.extend(
                [
                    [file.name, *answers]
                    for file, answers in zip(file_batch, total_answers)
                ]
            )
        except Exception as exception:
            # Note the exception as error in the dictionary:
            batch_file_names = ", ".join([file.name for file in file_batch])
            if verbose:
                _LOGGER.warning(
                    f"Error in batch '{batch_file_names}': {str(exception)}"
                )
            errors[batch_file_names] = str(exception)
            continue

    # Construct the answers dataframe:
    columns = [
        "text_file",
        *questions_columns,
    ]

    # Create a data frame of answers by files
    successes = pd.DataFrame(
        successes,
        columns=columns,
    )

    # Print the head of the produced dataframe and return:
    if verbose:
        _LOGGER.info(
            f"Done ({successes.shape[0]}/{len(text_files)})\n"
            f"Answers summary:\n"
            f"{successes.head()}"
        )
    return successes, errors


def _get_text_files(
    data_path: pathlib.Path,
) -> List[pathlib.Path]:

    # Check if the path is of a directory or a file:
    if data_path.is_dir():

        # Get all files inside the directory:
        text_files = list(data_path.glob("*.*"))
    elif data_path.is_file():
        text_files = [data_path]
    else:
        raise ValueError(
            f"Unrecognized data path. The parameter `data_path` must be either a directory path or a file path. "
            f"Given: {str(data_path)} "
        )

    return text_files


def _get_prompt_template(
    text_wrapper: str,
    questions_wrapper: str,
    questions: List[str],
) -> str:

    # Validate and build the text wrapper:
    text_wrapper = text_wrapper or (
        "Given the following text:\n" "-----\n" "{}\n" "-----"
    )
    if text_wrapper.count("{}") != 1:
        raise ValueError(
            "The `text_wrapper` must include one placeholder '{}' for the text of the file to be asked about."
        )

    # Validate and build the question wrapper:
    questions_wrapper = questions_wrapper or "Answer the questions:\n" "{}"
    if questions_wrapper.count("{}") != 1:
        raise ValueError(
            "The `questions_wrapper` must include one placeholder '{}' for the list of questions."
        )

    # Validate and parse the questions:
    if len(questions) == 0:
        raise ValueError("Please include at least one question.")
    questions = "\n".join(
        [f"{i}. {question}" for i, question in enumerate(questions, 1)]
    )

    # Construct the template:
    return f"{text_wrapper}\n{questions_wrapper.format(questions)}\n"


def _get_generation_pipeline(
    model_name: str,
    device_map: Union[str, dict],
    tokenizer_name: str,
    model_kwargs: dict,
    tokenizer_kwargs: dict,
    auto_gptq_exllama_max_input_length: int = None,
    batch_size: int = 1,
):
    # Load the model:
    model = transformers.AutoModelForCausalLM.from_pretrained(
        model_name, device_map=device_map, **model_kwargs
    )

    # Set exllama max input length if provided:
    # This changes the model's context size.
    if auto_gptq_exllama_max_input_length:
        from auto_gptq import exllama_set_max_input_length

        model = exllama_set_max_input_length(
            model=model, max_input_length=auto_gptq_exllama_max_input_length
        )

    # Load the tokenizer:
    tokenizer = transformers.AutoTokenizer.from_pretrained(
        tokenizer_name, **tokenizer_kwargs
    )

    # Initialize a generation pipline and return:
    pipe = transformers.pipeline(
        task="text-generation",
        model=model,
        tokenizer=tokenizer,
        batch_size=batch_size,
    )
    pipe.tokenizer.pad_token_id = model.config.eos_token_id
    return pipe


def _read_file_batch(
    file_batch: List[pathlib.Path],
    prompt_template: str,
) -> List[str]:
    batch = []

    # Go over all files and read in usable format
    for file in file_batch:
        with open(file, "r", encoding="utf-8") as fp:
            batch.append(prompt_template.format(fp.read()))
    return batch


def _to_group_list(argument_value: list, argument_name: str, length: int):

    # Check if is list, turn to list if not
    argument_value = (
        argument_value if isinstance(argument_value, list) else [argument_value]
    )
    list_len = len(argument_value)

    # If not a list, or is a list of len 1 we duplicate for correct length
    # If list in wrong length throw an error
    if list_len != length:
        if list_len == 1:
            return argument_value * length
        raise ValueError(
            f"The argument value of '{argument_name}' is not equal to the length of the given questions - {length}"
        )
    return argument_value


class QuestionHandler:
    """
    A class for handling questions answering for a given question type.
    This class is used as a base class for all question types, and for default question type (regular question
    answering without any special handling).
    """

    class ConfigKeys:
        pass

    def __init__(self):
        pass

    @staticmethod
    def _get_answers(generated_text: str, questions_amount: int) -> List[str]:

        # Clear answer start (part before numbers):
        # TODO find better way to verify, for list of questions this is redundant for example
        if "1." not in generated_text:
            raise ValueError(
                f"Answer 1. is missing from the generated text: '{generated_text}'"
            )
        text = generated_text.split("1.", 1)[1]

        # Start extracting the answers:
        answers = []
        for i in range(1, questions_amount + 1):
            # If it's the last answer to look for, take the rest of the text:
            if i == questions_amount:
                answer_i = text
            # Verify there is a question number in the text:
            elif f"{i + 1}." not in text:
                raise ValueError(
                    f"Answer {i + 1}. is missing from the generated text: '{generated_text}'"
                )
            # Take i's answer:
            else:
                answer_i, text = text.split(f"{i + 1}.", 1)
            # Collect the answer removing redundant spaces:
            answers.append(answer_i.strip())

        return answers

    def _infer_questions(
        self,
        questions_amount: int,
        batched_input: List[str],
        generation_pipeline: transformers.Pipeline,
        generation_config: transformers.GenerationConfig,
    ) -> List[List[str]]:

        # Infer through the llm:
        batched_output = generation_pipeline(
            batched_input,
            generation_config=generation_config,
            eos_token_id=generation_pipeline.tokenizer.eos_token_id,
            return_full_text=False,
            num_return_sequences=1,
        )

        # Process the outputs to get the answers:
        batched_answers = []
        for output in batched_output:
            # Get the generated answers:
            answers = self._get_answers(
                generated_text=output[0]["generated_text"],
                questions_amount=questions_amount,
            )
            # Collect the processed answers:
            batched_answers.append(answers)
        return batched_answers

    def answer(
        self,
        questions_amount: int,
        batched_input: List[str],
        generation_pipeline: transformers.Pipeline,
        generation_config: transformers.GenerationConfig,
    ) -> List[List[str]]:
        """
        Answer questions with a context to the given text files contents by a pretrained LLM model in given pipeline.
        """
        return self._infer_questions(
            questions_amount=questions_amount,
            batched_input=batched_input,
            generation_pipeline=generation_pipeline,
            generation_config=generation_config,
        )


class PollQuestionHandler(QuestionHandler):
    """
    Static class to hold all the possible poll question configurations options keys
    """

    class ConfigKeys:
        """
        A class for handling questions answering for poll type questions.
        These type of question are answered by asking the same question multiple times
        and choosing the most common answer or the average answer.
        """

        #: The number of times to ask the same question.
        POLL_COUNT = "poll_count"

        #: The strategy to use for choosing the answer from the poll.
        POLL_STRATEGY = "poll_strategy"

    class Strategy(enum.Enum):
        #: The most common answer strategy.
        MOST_COMMON = "most_common"

        #: The average answer strategy.
        AVERAGE = "average"

        @staticmethod
        def most_common(answers):
            """
            Calculate the most common answer for a given list of answers.
            """
            count = Counter(answers)
            most_common = count.most_common(1)
            return most_common[0][0]

        @staticmethod
        def average(answers):
            """
            Calculate the average answer for a given list of answers.
            """
            if isinstance(answers[0], str):
                raise ValueError(
                    "Cannot perform poll with average answer strategy of non numeric values,"
                    " please change the question to give numeric data, or choose 'most_common' as strategy."
                )
            else:
                numeric_values = answers
            avg = sum(numeric_values) / len(numeric_values)

            # Round to the closest integer and return corresponding value
            return round(avg)

        def do(self, answers):
            """
            Perform the strategy.
            """
            return getattr(self, self.value)(answers)

    def __init__(
        self, poll_count: int = 5, poll_strategy: str = "most_common"):
        super().__init__()
        self.poll_count = poll_count
        self.poll_strategy = self.Strategy(poll_strategy)

    def answer(
        self,
        questions_amount: int,
        batched_input: List[str],
        generation_pipeline: transformers.Pipeline,
        generation_config: transformers.GenerationConfig,
    ) -> List[List[str]]:
        """
        Answer questions with a context to the given text files contents by a pretrained LLM model in given pipeline.
        """
        return self._answer_poll_questions(
            questions_amount=questions_amount,
            batched_input=batched_input,
            generation_pipeline=generation_pipeline,
            generation_config=generation_config,
        )

    def _answer_poll_questions(
        self,
        questions_amount: int,
        batched_input: List[str],
        generation_pipeline: transformers.Pipeline,
        generation_config: transformers.GenerationConfig,
    ) -> List[List[str]]:
        votes = []

        # Run the poll for each question
        for _ in range(self.poll_count):
            batched_answers = self._infer_questions(
                questions_amount=questions_amount,
                batched_input=batched_input,
                generation_pipeline=generation_pipeline,
                generation_config=generation_config,
            )
            votes.append(batched_answers)
        answers = []

        # Collect the answers according to the poll strategy
        # Average strategy works for numeric values only
        for batch in range(len(votes[0])):
            batched_answers = []
            for question in range(questions_amount):
                # Create a list of all answers to relevant question
                answer = [
                    votes[voter][batch][question] for voter in range(self.poll_count)
                ]
                answer = self.poll_strategy.do(answer)
                batched_answers.append(answer)
            answers.append(batched_answers)
        return answers


# Holds names of QuestionHandles
class QuestionTypes:
    DEFAULT = "default"
    POLL = "poll"


# Maps question types to their handlers
QUESTION_MAPPING = {
    QuestionTypes.DEFAULT: QuestionHandler,
    QuestionTypes.POLL: PollQuestionHandler,
}

+    base_image: mlrun/mlrun
+    commands: []
+    code_origin: ''
+    origin_filename: ''
+    requirements:
+    - transformers
+    - torch
+    - tqdm
+  entry_points:
+    open_mpi_handler:
+      name: open_mpi_handler
+      doc: ''
+      parameters:
+      - name: worker_inputs
+        type: List[str]
+      - name: root_worker_inputs
+        type: Dict[str, Any]
+        default: null
+      outputs: []
+      lineno: 58
+      has_varargs: false
+      has_kwargs: false
+    decorator:
+      name: decorator
+      doc: ''
+      parameters:
+      - name: handler
+      outputs: []
+      lineno: 66
+      has_varargs: false
+      has_kwargs: false
+    wrapper:
+      name: wrapper
+      doc: ''
+      parameters: []
+      outputs: []
+      lineno: 71
+      has_varargs: false
+      has_kwargs: true
+    answer_questions:
+      name: answer_questions
+      doc: 'Answer questions with a context to the given text files contents by a
+        pretrained LLM model. Each text file will have
+
+        the following prompt built:
+
+
+        start of `text_wrapper`
+
+        <text file content>
+
+        end of `text_wrapper`
+
+
+        start of `questions_wrapper`
+
+        1. <questions[0]>
+
+        2. <questions[1]>
+
+        ...
+
+        n. <questions[n-1]>
+
+        end of `questions_wrapper`'
+      parameters:
+      - name: data_path
+        type: Union[str, List[str]]
+        doc: A path to a directory of text files or a path to a text file to ask questions
+          about.
+      - name: model_name
+        type: str
+        doc: The pre-trained model name from the huggingface hub to use for asking
+          questions.
+      - name: questions
+        type: Union[List[str], List[List[str]]]
+        doc: The questions to ask. A list of lists of questions to ask per text file,
+          and devided by question groups, the groups can be dtermained by size (in
+          order to avoid large inputs to the llm) or by questioning method (regular
+          or poll like questioning).
+      - name: device_map
+        type: Union[str, dict]
+        doc: A map to use for loading the model on multiple devices.
+        default: null
+      - name: model_kwargs
+        type: dict
+        doc: Keyword arguments to pass for loading the model using HuggingFace's `transformers.AutoModelForCausalLM.from_pretrained`
+          function.
+        default: null
+      - name: auto_gptq_exllama_max_input_length
+        type: int
+        doc: For AutoGPTQ models to set and extend the model's input buffer size.
+        default: null
+      - name: tokenizer_name
+        type: str
+        doc: The tokenizer name from the huggingface hub to use. If not given, the
+          model name will be used.
+        default: null
+      - name: tokenizer_kwargs
+        type: dict
+        doc: Keyword arguments to pass for loading the tokenizer using HuggingFace's
+          `transformers.AutoTokenizer.from_pretrained` function.
+        default: null
+      - name: text_wrapper
+        type: Union[str, List[str]]
+        doc: A wrapper for the file's text. Will be added at the start of the prompt.
+          Must have a placeholder ('{}') for the text of the file.
+        default: ''
+      - name: questions_wrapper
+        type: Union[str, List[str]]
+        doc: A wrapper for the questions received. Will be added after the text wrapper
+          in the prompt template. Must have a placeholder ('{}') for the questions.
+        default: ''
+      - name: generation_config
+        type: Union[Dict, List[Dict]]
+        doc: HuggingFace's `GenerationConfig` keyword arguments to pass to the `generate`
+          method.
+        default: null
+      - name: questions_config
+        type: Union[Dict, List[Dict]]
+        doc: A dictionary or list of dictionaries containing specific ways to answer
+          questions (using a poll for example), each dictionary in the list is for
+          corresponding question group and determines the question asking method for
+          said group.
+        default: null
+      - name: batch_size
+        type: int
+        doc: Batch size for inference.
+        default: 1
+      - name: questions_columns
+        type: List[str]
+        doc: Columns to use for the dataframe returned.
+        default: null
+      - name: verbose
+        type: bool
+        doc: 'Whether to present logs of a progress bar and errors. Default: True.'
+        default: false
+      outputs:
+      - doc: 'A tuple of:'
+        type: Tuple[pd.DataFrame, dict]
+      lineno: 130
+      has_varargs: false
+      has_kwargs: false
+    answer:
+      name: answer
+      doc: Answer questions with a context to the given text files contents by a pretrained
+        LLM model in given pipeline.
+      parameters:
+      - name: self
+      - name: questions_amount
+        type: int
+      - name: batched_input
+        type: List[str]
+      - name: generation_pipeline
+        type: Pipeline
+      - name: generation_config
+        type: GenerationConfig
+      outputs:
+      - type: List[List[str]]
+      lineno: 674
+      has_varargs: false
+      has_kwargs: false
+    most_common:
+      name: most_common
+      doc: Calculate the most common answer for a given list of answers.
+      parameters:
+      - name: answers
+      outputs: []
+      lineno: 637
+      has_varargs: false
+      has_kwargs: false
+    average:
+      name: average
+      doc: Calculate the average answer for a given list of answers.
+      parameters:
+      - name: answers
+      outputs: []
+      lineno: 646
+      has_varargs: false
+      has_kwargs: false
+    do:
+      name: do
+      doc: Perform the strategy.
+      parameters:
+      - name: self
+      - name: answers
+      outputs: []
+      lineno: 662
+      has_varargs: false
+      has_kwargs: false
+  description: GenAI approach of question answering on a given data
+  default_handler: answer_questions
+  disable_auto_mount: false
+  clone_target_dir: ''
+  env: []
+  priority_class_name: ''
+  preemption_mode: prevent
+  affinity: null
+  tolerations: null
+  security_context: {}
+verbose: false
+
+        </code>
+    </pre>
+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/question_answering/0.4.0/static/item.html b/functions/master/question_answering/0.4.0/static/item.html
new file mode 100644
index 00000000..d7a7898a
--- /dev/null
+++ b/functions/master/question_answering/0.4.0/static/item.html
@@ -0,0 +1,51 @@
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta content="IE=edge" http-equiv="X-UA-Compatible">
+    <meta content="width=device-width, initial-scale=1.0" name="viewport">
+    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/styles/atom-one-dark.min.css">
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/highlight.min.js"></script>
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/languages/yaml.min.js"></script>
+    <title>Source</title>
+    <script>hljs.highlightAll();</script>
+</head>
+
+<body style="background-color:darkgray; margin: 0 0 0 0;">
+    <pre style="margin: 0 1em;">
+        <code class="yaml">
+apiVersion: v1
+categories:
+- genai
+- huggingface
+- machine-learning
+description: GenAI approach of question answering on a given data
+doc: ''
+example: question_answering.ipynb
+generationDate: 2023-08-07:11-30
+hidden: false
+icon: ''
+labels:
+  author: yonish
+maintainers: []
+marketplaceType: ''
+mlrunVersion: 1.5.2
+name: question_answering
+platformVersion: 3.5.0
+spec:
+  filename: question_answering.py
+  handler: answer_questions
+  image: mlrun/mlrun
+  kind: job
+  requirements:
+    - transformers
+    - torch
+    - tqdm
+url: ''
+version: 0.4.0
+
+        </code>
+    </pre>
+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/question_answering/0.4.0/static/question_answering.html b/functions/master/question_answering/0.4.0/static/question_answering.html
new file mode 100644
index 00000000..d0cffc0e
--- /dev/null
+++ b/functions/master/question_answering/0.4.0/static/question_answering.html
@@ -0,0 +1,876 @@
+
+<!DOCTYPE html>
+
+<html lang="en">
+<head>
+<meta charset="utf-8"/>
+<meta content="width=device-width, initial-scale=1.0" name="viewport"/>
+<title>question_answering.question_answering</title>
+<!-- Loaded before other Sphinx assets -->
+<link href="../../../_static/styles/theme.css?digest=1999514e3f237ded88cf" rel="stylesheet"/>
+<link href="../../../_static/styles/pydata-sphinx-theme.css?digest=1999514e3f237ded88cf" rel="stylesheet"/>
+<link href="../../../_static/vendor/fontawesome/5.13.0/css/all.min.css" rel="stylesheet"/>
+<link as="font" crossorigin="" href="../../../_static/vendor/fontawesome/5.13.0/webfonts/fa-solid-900.woff2" rel="preload" type="font/woff2"/>
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+<link href="../../../_static/pygments.css" rel="stylesheet" type="text/css">
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+<link href="../../../_static/togglebutton.css" rel="stylesheet" type="text/css">
+<!-- Pre-loaded scripts that we'll load fully later -->
+<link as="script" href="../../../_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf" rel="preload"/>
+<script src="../../../_static/scripts/sphinx-book-theme.js?digest=9c920249402e914e316237a7dbc6769907cce411"></script>
+<script data-url_root="../../" id="documentation_options" src="../../../_static/documentation_options.js"></script>
+<script src="../../../_static/jquery.js"></script>
+<script src="../../../_static/underscore.js"></script>
+<script src="../../../_static/doctools.js"></script>
+<script>let toggleHintShow = 'Click to show';</script>
+<script>let toggleHintHide = 'Click to hide';</script>
+<script>let toggleOpenOnPrint = 'true';</script>
+<script src="../../../_static/togglebutton.js"></script>
+<script src="../../../_static/scripts/sphinx-book-theme.js"></script>
+<script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+<link href="../../genindex.html" rel="index" title="Index">
+<link href="../../search.html" rel="search" title="Search">
+<meta content="width=device-width, initial-scale=1" name="viewport"/>
+<meta content="en" name="docsearch:language"/>
+<!-- Google Analytics -->
+</link></link></link></link></link></link></head>
+<body data-offset="60" data-spy="scroll" data-target="#bd-toc-nav">
+<!-- Checkboxes to toggle the left sidebar -->
+<input aria-label="Toggle navigation sidebar" class="sidebar-toggle" id="__navigation" name="__navigation" type="checkbox"/>
+<label class="overlay overlay-navbar" for="__navigation">
+<div class="visually-hidden">Toggle navigation sidebar</div>
+</label>
+<!-- Checkboxes to toggle the in-page toc -->
+<input aria-label="Toggle in-page Table of Contents" class="sidebar-toggle" id="__page-toc" name="__page-toc" type="checkbox"/>
+<label class="overlay overlay-pagetoc" for="__page-toc">
+<div class="visually-hidden">Toggle in-page Table of Contents</div>
+</label>
+<!-- Headers at the top -->
+<div class="announcement header-item noprint"></div>
+<div class="header header-item noprint"></div>
+<div class="container-fluid" id="banner"></div>
+<div class="container-xl">
+<div class="row">
+<!-- Sidebar -->
+<div class="bd-sidebar noprint single-page" id="site-navigation">
+</div>
+<!-- A tiny helper pixel to detect if we've scrolled -->
+<div class="sbt-scroll-pixel-helper"></div>
+<!-- Main content -->
+<div class="col py-0 content-container">
+<div class="header-article row sticky-top noprint">
+<div class="col py-1 d-flex header-article-main">
+<div class="header-article__left">
+</div>
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+<button class="headerbtn" data-placement="bottom" data-toggle="tooltip" onclick="toggleFullScreen()" title="Fullscreen mode">
+<span class="headerbtn__icon-container">
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+</span>
+</button>
+<div class="menu-dropdown menu-dropdown-repository-buttons">
+<button aria-label="Source repositories" class="headerbtn menu-dropdown__trigger">
+<i class="fab fa-github"></i>
+</button>
+<div class="menu-dropdown__content">
+<ul>
+<li>
+<a class="headerbtn" data-placement="left" data-toggle="tooltip" href="https://github.com/mlrun/marketplace" title="Source repository">
+<span class="headerbtn__icon-container">
+<i class="fab fa-github"></i>
+</span>
+<span class="headerbtn__text-container">repository</span>
+</a>
+</li>
+<li>
+<a class="headerbtn" data-placement="left" data-toggle="tooltip" href="https://github.com/mlrun/marketplace/issues/new?title=Issue%20on%20page%20%2F_modules/question_answering/question_answering.html&amp;body=Your%20issue%20content%20here." title="Open an issue">
+<span class="headerbtn__icon-container">
+<i class="fas fa-lightbulb"></i>
+</span>
+<span class="headerbtn__text-container">open issue</span>
+</a>
+</li>
+</ul>
+</div>
+</div>
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+</div>
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+<h1></h1>
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+<div>
+<h1>Source code for question_answering.question_answering</h1><div class="highlight"><pre>
+<span></span><span class="c1"># Copyright 2023 Iguazio</span>
+<span class="c1">#</span>
+<span class="c1"># Licensed under the Apache License, Version 2.0 (the "License");</span>
+<span class="c1"># you may not use this file except in compliance with the License.</span>
+<span class="c1"># You may obtain a copy of the License at</span>
+<span class="c1">#</span>
+<span class="c1">#   http://www.apache.org/licenses/LICENSE-2.0</span>
+<span class="c1">#</span>
+<span class="c1"># Unless required by applicable law or agreed to in writing, software</span>
+<span class="c1"># distributed under the License is distributed on an "AS IS" BASIS,</span>
+<span class="c1"># WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.</span>
+<span class="c1"># See the License for the specific language governing permissions and</span>
+<span class="c1"># limitations under the License.</span>
+<span class="kn">import</span> <span class="nn">enum</span>
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">import</span> <span class="nn">operator</span>
+<span class="kn">import</span> <span class="nn">pathlib</span>
+<span class="kn">from</span> <span class="nn">collections</span> <span class="kn">import</span> <span class="n">Counter</span>
+<span class="kn">from</span> <span class="nn">functools</span> <span class="kn">import</span> <span class="n">reduce</span><span class="p">,</span> <span class="n">wraps</span>
+<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Any</span><span class="p">,</span> <span class="n">Dict</span><span class="p">,</span> <span class="n">List</span><span class="p">,</span> <span class="n">Tuple</span><span class="p">,</span> <span class="n">Union</span>
+
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="kn">import</span> <span class="nn">transformers</span>
+<span class="kn">from</span> <span class="nn">tqdm</span> <span class="kn">import</span> <span class="n">tqdm</span>
+
+<span class="c1"># Get the global logger:</span>
+<span class="n">_LOGGER</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">()</span>
+
+
+<span class="k">def</span> <span class="nf">_check_mlrun_and_open_mpi</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="s2">"mlrun.MLClientCtx"</span><span class="p">,</span> <span class="s2">"mpi4py.MPI.Intracomm"</span><span class="p">]:</span>
+    <span class="k">global</span> <span class="n">_LOGGER</span>
+
+    <span class="n">is_mpi</span> <span class="o">=</span> <span class="kc">False</span>
+    <span class="k">try</span><span class="p">:</span>
+        <span class="kn">import</span> <span class="nn">mlrun</span>
+
+        <span class="n">context</span> <span class="o">=</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">get_or_create_ctx</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s2">"mlrun"</span><span class="p">)</span>
+        <span class="n">_LOGGER</span> <span class="o">=</span> <span class="n">context</span><span class="o">.</span><span class="n">logger</span>
+        <span class="n">is_mpi</span> <span class="o">=</span> <span class="n">context</span><span class="o">.</span><span class="n">labels</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"kind"</span><span class="p">,</span> <span class="s2">"job"</span><span class="p">)</span> <span class="o">==</span> <span class="s2">"mpijob"</span>
+
+        <span class="k">if</span> <span class="n">is_mpi</span><span class="p">:</span>
+            <span class="k">try</span><span class="p">:</span>
+                <span class="kn">from</span> <span class="nn">mpi4py</span> <span class="kn">import</span> <span class="n">MPI</span>
+
+                <span class="k">return</span> <span class="n">context</span><span class="p">,</span> <span class="n">MPI</span><span class="o">.</span><span class="n">COMM_WORLD</span>
+            <span class="k">except</span> <span class="ne">ModuleNotFoundError</span> <span class="k">as</span> <span class="n">mpi4py_not_found</span><span class="p">:</span>
+                <span class="n">context</span><span class="o">.</span><span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span>
+                    <span class="s2">"To distribute the function using MLRun's 'mpijob' you need to have `mpi4py` package in your "</span>
+                    <span class="s2">"interpreter. Please run `pip install mpi4py` and make sure you have open-mpi."</span>
+                <span class="p">)</span>
+                <span class="k">raise</span> <span class="n">mpi4py_not_found</span>
+    <span class="k">except</span> <span class="ne">ModuleNotFoundError</span> <span class="k">as</span> <span class="n">module_not_found</span><span class="p">:</span>
+        <span class="k">if</span> <span class="n">is_mpi</span><span class="p">:</span>
+            <span class="k">raise</span> <span class="n">module_not_found</span>
+    <span class="k">return</span> <span class="kc">None</span><span class="p">,</span> <span class="kc">None</span>
+
+
+<div class="viewcode-block" id="open_mpi_handler"><a class="viewcode-back" href="documentation.html#question_answering.question_answering.open_mpi_handler">[docs]</a><span class="k">def</span> <span class="nf">open_mpi_handler</span><span class="p">(</span>
+    <span class="n">worker_inputs</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">],</span> <span class="n">root_worker_inputs</span><span class="p">:</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">Any</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span>
+<span class="p">):</span>
+    <span class="k">global</span> <span class="n">_LOGGER</span>
+
+    <span class="c1"># Check for MLRun and OpenMPI availability:</span>
+    <span class="n">context</span><span class="p">,</span> <span class="n">comm</span> <span class="o">=</span> <span class="n">_check_mlrun_and_open_mpi</span><span class="p">()</span>
+
+    <span class="k">def</span> <span class="nf">decorator</span><span class="p">(</span><span class="n">handler</span><span class="p">):</span>
+        <span class="k">if</span> <span class="n">comm</span> <span class="ow">is</span> <span class="kc">None</span> <span class="ow">or</span> <span class="n">comm</span><span class="o">.</span><span class="n">Get_size</span><span class="p">()</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
+            <span class="k">return</span> <span class="n">handler</span>
+
+        <span class="nd">@wraps</span><span class="p">(</span><span class="n">handler</span><span class="p">)</span>
+        <span class="k">def</span> <span class="nf">wrapper</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+            <span class="c1"># Get the open mpi environment properties:</span>
+            <span class="n">size</span> <span class="o">=</span> <span class="n">comm</span><span class="o">.</span><span class="n">Get_size</span><span class="p">()</span>
+            <span class="n">rank</span> <span class="o">=</span> <span class="n">comm</span><span class="o">.</span><span class="n">Get_rank</span><span class="p">()</span>
+
+            <span class="c1"># Give the correct chunk of the workers inputs:</span>
+            <span class="k">for</span> <span class="n">worker_input</span> <span class="ow">in</span> <span class="n">worker_inputs</span><span class="p">:</span>
+                <span class="n">input_argument</span> <span class="o">=</span> <span class="n">kwargs</span><span class="p">[</span><span class="n">worker_input</span><span class="p">]</span>
+                <span class="k">if</span> <span class="n">input_argument</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+                    <span class="k">continue</span>
+                <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">input_argument</span><span class="p">,</span> <span class="nb">str</span><span class="p">):</span>
+                    <span class="n">input_argument</span> <span class="o">=</span> <span class="n">_get_text_files</span><span class="p">(</span>
+                        <span class="n">data_path</span><span class="o">=</span><span class="n">pathlib</span><span class="o">.</span><span class="n">Path</span><span class="p">(</span><span class="n">input_argument</span><span class="p">)</span><span class="o">.</span><span class="n">absolute</span><span class="p">()</span>
+                    <span class="p">)</span>
+                <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">input_argument</span><span class="p">)</span> <span class="o">&lt;</span> <span class="n">size</span><span class="p">:</span>
+                    <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span>
+                        <span class="sa">f</span><span class="s2">"Cannot split the input '</span><span class="si">{</span><span class="n">worker_input</span><span class="si">}</span><span class="s2">' of length </span><span class="si">{</span><span class="nb">len</span><span class="p">(</span><span class="n">input_argument</span><span class="p">)</span><span class="si">}</span><span class="s2"> to </span><span class="si">{</span><span class="n">size</span><span class="si">}</span><span class="s2"> workers. "</span>
+                        <span class="sa">f</span><span class="s2">"Please reduce the amount of workers for this input."</span>
+                    <span class="p">)</span>
+                <span class="n">even_chunk_size</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">input_argument</span><span class="p">)</span> <span class="o">//</span> <span class="n">size</span>
+                <span class="n">chunk_start</span> <span class="o">=</span> <span class="n">rank</span> <span class="o">*</span> <span class="n">even_chunk_size</span>
+                <span class="n">chunk_end</span> <span class="o">=</span> <span class="p">(</span>
+                    <span class="p">(</span><span class="n">rank</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span> <span class="o">*</span> <span class="n">even_chunk_size</span>
+                    <span class="k">if</span> <span class="n">rank</span> <span class="o">+</span> <span class="mi">1</span> <span class="o">&lt;</span> <span class="n">size</span>
+                    <span class="k">else</span> <span class="nb">len</span><span class="p">(</span><span class="n">input_argument</span><span class="p">)</span>
+                <span class="p">)</span>
+                <span class="n">context</span><span class="o">.</span><span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                    <span class="sa">f</span><span class="s2">"Rank #</span><span class="si">{</span><span class="n">rank</span><span class="si">}</span><span class="s2">: Processing input chunk of '</span><span class="si">{</span><span class="n">worker_input</span><span class="si">}</span><span class="s2">' "</span>
+                    <span class="sa">f</span><span class="s2">"from index </span><span class="si">{</span><span class="n">chunk_start</span><span class="si">}</span><span class="s2"> to </span><span class="si">{</span><span class="n">chunk_end</span><span class="si">}</span><span class="s2">."</span>
+                <span class="p">)</span>
+                <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">input_argument</span><span class="p">,</span> <span class="nb">list</span><span class="p">):</span>
+                    <span class="n">input_argument</span> <span class="o">=</span> <span class="n">input_argument</span><span class="p">[</span><span class="n">chunk_start</span><span class="p">:</span><span class="n">chunk_end</span><span class="p">]</span>
+                <span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">input_argument</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">):</span>
+                    <span class="n">input_argument</span> <span class="o">=</span> <span class="n">input_argument</span><span class="o">.</span><span class="n">iloc</span><span class="p">[</span><span class="n">chunk_start</span><span class="p">:</span><span class="n">chunk_end</span><span class="p">:,</span> <span class="p">:]</span>
+                <span class="n">kwargs</span><span class="p">[</span><span class="n">worker_input</span><span class="p">]</span> <span class="o">=</span> <span class="n">input_argument</span>
+
+            <span class="c1"># Set the root worker only arguments:</span>
+            <span class="k">if</span> <span class="n">rank</span> <span class="o">==</span> <span class="mi">0</span> <span class="ow">and</span> <span class="n">root_worker_inputs</span><span class="p">:</span>
+                <span class="n">kwargs</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">root_worker_inputs</span><span class="p">)</span>
+
+            <span class="c1"># Run the worker:</span>
+            <span class="n">output</span> <span class="o">=</span> <span class="n">handler</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+
+            <span class="c1"># Send the output to the root rank (rank #0):</span>
+            <span class="n">output</span> <span class="o">=</span> <span class="n">comm</span><span class="o">.</span><span class="n">gather</span><span class="p">(</span><span class="n">output</span><span class="p">,</span> <span class="n">root</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+            <span class="k">if</span> <span class="n">rank</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
+                <span class="c1"># Join the outputs:</span>
+                <span class="n">context</span><span class="o">.</span><span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s2">"Collecting data from workers to root worker."</span><span class="p">)</span>
+                <span class="n">dataframe</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">concat</span><span class="p">(</span><span class="n">objs</span><span class="o">=</span><span class="p">[</span><span class="n">df</span> <span class="k">for</span> <span class="n">df</span><span class="p">,</span> <span class="n">_</span> <span class="ow">in</span> <span class="n">output</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+                <span class="n">errors_dictionary</span> <span class="o">=</span> <span class="n">reduce</span><span class="p">(</span><span class="n">operator</span><span class="o">.</span><span class="n">ior</span><span class="p">,</span> <span class="p">[</span><span class="n">err</span> <span class="k">for</span> <span class="n">_</span><span class="p">,</span> <span class="n">err</span> <span class="ow">in</span> <span class="n">output</span><span class="p">],</span> <span class="p">{})</span>
+                <span class="k">return</span> <span class="n">dataframe</span><span class="p">,</span> <span class="n">errors_dictionary</span>
+            <span class="k">return</span> <span class="kc">None</span>
+
+        <span class="k">return</span> <span class="n">wrapper</span>
+
+    <span class="k">return</span> <span class="n">decorator</span></div>
+
+
+<div class="viewcode-block" id="answer_questions"><a class="viewcode-back" href="documentation.html#question_answering.question_answering.answer_questions">[docs]</a><span class="nd">@open_mpi_handler</span><span class="p">(</span><span class="n">worker_inputs</span><span class="o">=</span><span class="p">[</span><span class="s2">"data_path"</span><span class="p">],</span> <span class="n">root_worker_inputs</span><span class="o">=</span><span class="p">{</span><span class="s2">"verbose"</span><span class="p">:</span> <span class="kc">True</span><span class="p">})</span>
+<span class="k">def</span> <span class="nf">answer_questions</span><span class="p">(</span>
+    <span class="n">data_path</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">]],</span>
+    <span class="n">model_name</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
+    <span class="n">questions</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">],</span> <span class="n">List</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">]]],</span>
+    <span class="n">device_map</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">dict</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">model_kwargs</span><span class="p">:</span> <span class="nb">dict</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">auto_gptq_exllama_max_input_length</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">tokenizer_name</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">tokenizer_kwargs</span><span class="p">:</span> <span class="nb">dict</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">text_wrapper</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">]]</span> <span class="o">=</span> <span class="s2">""</span><span class="p">,</span>
+    <span class="n">questions_wrapper</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">]]</span> <span class="o">=</span> <span class="s2">""</span><span class="p">,</span>
+    <span class="n">generation_config</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="n">Dict</span><span class="p">,</span> <span class="n">List</span><span class="p">[</span><span class="n">Dict</span><span class="p">]]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">questions_config</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="n">Dict</span><span class="p">,</span> <span class="n">List</span><span class="p">[</span><span class="n">Dict</span><span class="p">]]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">batch_size</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1</span><span class="p">,</span>
+    <span class="n">questions_columns</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">verbose</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
+<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">,</span> <span class="nb">dict</span><span class="p">]:</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    Answer questions with a context to the given text files contents by a pretrained LLM model. Each text file will have</span>
+<span class="sd">    the following prompt built:</span>
+
+<span class="sd">    start of `text_wrapper`</span>
+<span class="sd">    &lt;text file content&gt;</span>
+<span class="sd">    end of `text_wrapper`</span>
+
+<span class="sd">    start of `questions_wrapper`</span>
+<span class="sd">    1. &lt;questions[0]&gt;</span>
+<span class="sd">    2. &lt;questions[1]&gt;</span>
+<span class="sd">    ...</span>
+<span class="sd">    n. &lt;questions[n-1]&gt;</span>
+<span class="sd">    end of `questions_wrapper`</span>
+
+<span class="sd">    :param data_path:                          A path to a directory of text files or a path to a text file to ask</span>
+<span class="sd">                                               questions about.</span>
+<span class="sd">    :param model_name:                         The pre-trained model name from the huggingface hub to use for asking</span>
+<span class="sd">                                               questions.</span>
+<span class="sd">    :param questions:                          The questions to ask.</span>
+<span class="sd">                                               A list of lists of questions to ask per text file, and devided</span>
+<span class="sd">                                               by question groups, the groups can be dtermained by size (in order to</span>
+<span class="sd">                                               avoid large inputs to the llm) or by questioning method</span>
+<span class="sd">                                               (regular or poll like questioning).</span>
+<span class="sd">    :param device_map:                         A map to use for loading the model on multiple devices.</span>
+<span class="sd">    :param model_kwargs:                       Keyword arguments to pass for loading the model using HuggingFace's</span>
+<span class="sd">                                               `transformers.AutoModelForCausalLM.from_pretrained` function.</span>
+<span class="sd">    :param auto_gptq_exllama_max_input_length: For AutoGPTQ models to set and extend the model's input buffer size.</span>
+<span class="sd">    :param tokenizer_name:                     The tokenizer name from the huggingface hub to use. If not given, the</span>
+<span class="sd">                                               model name will be used.</span>
+<span class="sd">    :param tokenizer_kwargs:                   Keyword arguments to pass for loading the tokenizer using HuggingFace's</span>
+<span class="sd">                                               `transformers.AutoTokenizer.from_pretrained` function.</span>
+<span class="sd">    :param text_wrapper:                       A wrapper for the file's text. Will be added at the start of the prompt.</span>
+<span class="sd">                                               Must have a placeholder ('{}') for the text of the file.</span>
+<span class="sd">    :param questions_wrapper:                  A wrapper for the questions received. Will be added after the text</span>
+<span class="sd">                                               wrapper in the prompt template. Must have a placeholder ('{}') for the</span>
+<span class="sd">                                               questions.</span>
+<span class="sd">    :param generation_config:                  HuggingFace's `GenerationConfig` keyword arguments to pass to the</span>
+<span class="sd">                                               `generate` method.</span>
+<span class="sd">    :param questions_config:                   A dictionary or list of dictionaries containing specific ways to answer</span>
+<span class="sd">                                               questions (using a poll for example), each dictionary in the list is for</span>
+<span class="sd">                                               corresponding question group and determines the question asking method</span>
+<span class="sd">                                               for said group.</span>
+<span class="sd">    :param batch_size:                         Batch size for inference.</span>
+<span class="sd">    :param questions_columns:                  Columns to use for the dataframe returned.</span>
+<span class="sd">    :param verbose:                            Whether to present logs of a progress bar and errors. Default: True.</span>
+
+
+<span class="sd">    :returns: A tuple of:</span>
+
+<span class="sd">              * A dataframe dataset of the questions answers.</span>
+<span class="sd">              * A dictionary of errored files that were not inferred or were not answered properly.</span>
+<span class="sd">    """</span>
+    <span class="k">global</span> <span class="n">_LOGGER</span>
+
+    <span class="c1"># Set configs to empty dict if not given:</span>
+    <span class="k">if</span> <span class="n">generation_config</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+        <span class="n">generation_config</span> <span class="o">=</span> <span class="p">{}</span>
+    <span class="k">if</span> <span class="n">questions_config</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+        <span class="n">questions_config</span> <span class="o">=</span> <span class="p">{}</span>
+
+    <span class="c1"># Get the input text files to question:</span>
+    <span class="k">if</span> <span class="n">verbose</span><span class="p">:</span>
+        <span class="n">_LOGGER</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s2">"Collecting text files."</span><span class="p">)</span>
+    <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">data_path</span><span class="p">,</span> <span class="nb">str</span><span class="p">):</span>
+        <span class="n">data_path</span> <span class="o">=</span> <span class="n">pathlib</span><span class="o">.</span><span class="n">Path</span><span class="p">(</span><span class="n">data_path</span><span class="p">)</span><span class="o">.</span><span class="n">absolute</span><span class="p">()</span>
+        <span class="n">text_files</span> <span class="o">=</span> <span class="n">_get_text_files</span><span class="p">(</span><span class="n">data_path</span><span class="o">=</span><span class="n">data_path</span><span class="p">)</span>
+    <span class="k">else</span><span class="p">:</span>
+        <span class="n">text_files</span> <span class="o">=</span> <span class="n">data_path</span>
+    <span class="k">if</span> <span class="n">verbose</span><span class="p">:</span>
+        <span class="n">_LOGGER</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Collected </span><span class="si">{</span><span class="nb">len</span><span class="p">(</span><span class="n">text_files</span><span class="p">)</span><span class="si">}</span><span class="s2"> text files."</span><span class="p">)</span>
+
+    <span class="c1"># Get the prompt template:</span>
+    <span class="k">if</span> <span class="n">verbose</span><span class="p">:</span>
+        <span class="n">_LOGGER</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s2">"Creating prompt template."</span><span class="p">)</span>
+
+    <span class="c1"># Organize questions as a list of list, and count number of sub-lists for future use</span>
+    <span class="n">number_of_question_groups</span> <span class="o">=</span> <span class="mi">1</span> <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">questions</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="nb">str</span><span class="p">)</span> <span class="k">else</span> <span class="nb">len</span><span class="p">(</span><span class="n">questions</span><span class="p">)</span>
+    <span class="n">questions</span> <span class="o">=</span> <span class="n">_to_group_list</span><span class="p">(</span>
+        <span class="n">argument_value</span><span class="o">=</span><span class="n">questions</span><span class="p">,</span>
+        <span class="n">argument_name</span><span class="o">=</span><span class="s2">"questions"</span><span class="p">,</span>
+        <span class="n">length</span><span class="o">=</span><span class="n">number_of_question_groups</span><span class="p">,</span>
+    <span class="p">)</span>
+
+    <span class="c1"># Organize prompt parts at proper length</span>
+    <span class="n">text_wrapper</span> <span class="o">=</span> <span class="n">_to_group_list</span><span class="p">(</span>
+        <span class="n">argument_value</span><span class="o">=</span><span class="n">text_wrapper</span><span class="p">,</span>
+        <span class="n">argument_name</span><span class="o">=</span><span class="s2">"text_wrapper"</span><span class="p">,</span>
+        <span class="n">length</span><span class="o">=</span><span class="n">number_of_question_groups</span><span class="p">,</span>
+    <span class="p">)</span>
+    <span class="n">questions_wrapper</span> <span class="o">=</span> <span class="n">_to_group_list</span><span class="p">(</span>
+        <span class="n">argument_value</span><span class="o">=</span><span class="n">questions_wrapper</span><span class="p">,</span>
+        <span class="n">argument_name</span><span class="o">=</span><span class="s2">"questions_wrapper"</span><span class="p">,</span>
+        <span class="n">length</span><span class="o">=</span><span class="n">number_of_question_groups</span><span class="p">,</span>
+    <span class="p">)</span>
+
+    <span class="c1"># Create a list of prompt according to given parts and questions</span>
+    <span class="n">prompt_template</span> <span class="o">=</span> <span class="p">[]</span>
+    <span class="n">questions</span> <span class="o">=</span> <span class="n">questions</span> <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">questions</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="nb">list</span><span class="p">)</span> <span class="k">else</span> <span class="p">[</span><span class="n">questions</span><span class="p">]</span>
+
+    <span class="c1"># Build all prompts</span>
+    <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">number_of_question_groups</span><span class="p">):</span>
+        <span class="n">prompt_template</span><span class="o">.</span><span class="n">append</span><span class="p">(</span>
+            <span class="n">_get_prompt_template</span><span class="p">(</span>
+                <span class="n">text_wrapper</span><span class="o">=</span><span class="n">text_wrapper</span><span class="p">[</span><span class="n">i</span><span class="p">],</span>
+                <span class="n">questions_wrapper</span><span class="o">=</span><span class="n">questions_wrapper</span><span class="p">[</span><span class="n">i</span><span class="p">],</span>
+                <span class="n">questions</span><span class="o">=</span><span class="n">questions</span><span class="p">[</span><span class="n">i</span><span class="p">],</span>
+            <span class="p">)</span>
+        <span class="p">)</span>
+    <span class="k">if</span> <span class="n">verbose</span><span class="p">:</span>
+        <span class="n">_LOGGER</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Prompt template created:</span><span class="se">\n\n</span><span class="si">{</span><span class="n">prompt_template</span><span class="si">}</span><span class="se">\n</span><span class="s2">"</span><span class="p">)</span>
+
+    <span class="c1"># Get the total amount of questions:</span>
+    <span class="n">questions_amount</span> <span class="o">=</span> <span class="nb">sum</span><span class="p">([</span><span class="nb">len</span><span class="p">(</span><span class="n">sublist</span><span class="p">)</span> <span class="k">for</span> <span class="n">sublist</span> <span class="ow">in</span> <span class="n">questions</span><span class="p">])</span>
+
+    <span class="c1"># Get the questions columns:</span>
+    <span class="n">questions_columns</span> <span class="o">=</span> <span class="n">questions_columns</span> <span class="ow">or</span> <span class="p">[</span>
+        <span class="sa">f</span><span class="s2">"q</span><span class="si">{</span><span class="n">i</span><span class="si">}</span><span class="s2">"</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="n">questions_amount</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span>
+    <span class="p">]</span>
+
+    <span class="c1"># Check if we have the correct amount of questions columns:</span>
+    <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">questions_columns</span><span class="p">)</span> <span class="o">!=</span> <span class="n">questions_amount</span><span class="p">:</span>
+        <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span>
+            <span class="sa">f</span><span class="s2">"The provided questions columns length (</span><span class="si">{</span><span class="nb">len</span><span class="p">(</span><span class="n">questions_columns</span><span class="p">)</span><span class="si">}</span><span class="s2">) "</span>
+            <span class="sa">f</span><span class="s2">"does not match the questions amount (</span><span class="si">{</span><span class="n">questions_amount</span><span class="si">}</span><span class="s2">)"</span>
+        <span class="p">)</span>
+
+    <span class="c1"># Load the generation config:</span>
+    <span class="k">if</span> <span class="n">verbose</span><span class="p">:</span>
+        <span class="n">_LOGGER</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s2">"Loading generation configuration."</span><span class="p">)</span>
+    <span class="n">generation_config</span> <span class="o">=</span> <span class="p">[</span>
+        <span class="n">transformers</span><span class="o">.</span><span class="n">GenerationConfig</span><span class="p">(</span><span class="o">**</span><span class="p">(</span><span class="n">cfg</span> <span class="ow">or</span> <span class="p">{}))</span>
+        <span class="k">for</span> <span class="n">cfg</span> <span class="ow">in</span> <span class="n">_to_group_list</span><span class="p">(</span>
+            <span class="n">argument_value</span><span class="o">=</span><span class="n">generation_config</span><span class="p">,</span>
+            <span class="n">argument_name</span><span class="o">=</span><span class="s2">"generation_config"</span><span class="p">,</span>
+            <span class="n">length</span><span class="o">=</span><span class="n">number_of_question_groups</span><span class="p">,</span>
+        <span class="p">)</span>
+    <span class="p">]</span>
+    <span class="k">if</span> <span class="n">verbose</span><span class="p">:</span>
+        <span class="n">_LOGGER</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Generation configuration loaded: </span><span class="si">{</span><span class="n">generation_config</span><span class="si">}</span><span class="s2">"</span><span class="p">)</span>
+
+    <span class="c1"># Load the model and tokenizer into a pipeline object:</span>
+    <span class="k">if</span> <span class="n">verbose</span><span class="p">:</span>
+        <span class="n">_LOGGER</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Loading model '</span><span class="si">{</span><span class="n">model_name</span><span class="si">}</span><span class="s2">'."</span><span class="p">)</span>
+    <span class="n">generation_pipeline</span> <span class="o">=</span> <span class="n">_get_generation_pipeline</span><span class="p">(</span>
+        <span class="n">model_name</span><span class="o">=</span><span class="n">model_name</span><span class="p">,</span>
+        <span class="n">device_map</span><span class="o">=</span><span class="n">device_map</span><span class="p">,</span>
+        <span class="n">tokenizer_name</span><span class="o">=</span><span class="n">tokenizer_name</span> <span class="ow">or</span> <span class="n">model_name</span><span class="p">,</span>
+        <span class="n">model_kwargs</span><span class="o">=</span><span class="n">model_kwargs</span> <span class="ow">or</span> <span class="p">{},</span>
+        <span class="n">tokenizer_kwargs</span><span class="o">=</span><span class="n">tokenizer_kwargs</span> <span class="ow">or</span> <span class="p">{},</span>
+        <span class="n">auto_gptq_exllama_max_input_length</span><span class="o">=</span><span class="n">auto_gptq_exllama_max_input_length</span><span class="p">,</span>
+        <span class="n">batch_size</span><span class="o">=</span><span class="n">batch_size</span><span class="p">,</span>
+    <span class="p">)</span>
+    <span class="k">if</span> <span class="n">verbose</span><span class="p">:</span>
+        <span class="n">_LOGGER</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s2">"Model loaded."</span><span class="p">)</span>
+
+    <span class="c1"># Prepare the successes dataframe and errors dictionary to be returned:</span>
+    <span class="n">successes</span> <span class="o">=</span> <span class="p">[]</span>
+    <span class="n">errors</span> <span class="o">=</span> <span class="p">{}</span>
+
+    <span class="c1"># Split the files into batches:</span>
+    <span class="n">file_batches</span> <span class="o">=</span> <span class="p">[</span>
+        <span class="n">text_files</span><span class="p">[</span><span class="n">i</span> <span class="p">:</span> <span class="n">i</span> <span class="o">+</span> <span class="n">batch_size</span><span class="p">]</span>
+        <span class="k">if</span> <span class="n">i</span> <span class="o">+</span> <span class="n">batch_size</span> <span class="o">&lt;</span> <span class="nb">len</span><span class="p">(</span><span class="n">text_files</span><span class="p">)</span>
+        <span class="k">else</span> <span class="n">text_files</span><span class="p">[</span><span class="n">i</span><span class="p">:]</span>
+        <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">text_files</span><span class="p">),</span> <span class="n">batch_size</span><span class="p">)</span>
+    <span class="p">]</span>
+    <span class="n">questions_config</span> <span class="o">=</span> <span class="n">_to_group_list</span><span class="p">(</span>
+        <span class="n">argument_value</span><span class="o">=</span><span class="n">questions_config</span><span class="p">,</span>
+        <span class="n">argument_name</span><span class="o">=</span><span class="s2">"questions_config"</span><span class="p">,</span>
+        <span class="n">length</span><span class="o">=</span><span class="n">number_of_question_groups</span><span class="p">,</span>
+    <span class="p">)</span>
+
+    <span class="c1"># Create a list of question handlers according to given configs</span>
+    <span class="n">handlers</span> <span class="o">=</span> <span class="p">[]</span>
+    <span class="k">for</span> <span class="n">cfg</span> <span class="ow">in</span> <span class="n">questions_config</span><span class="p">:</span>
+        <span class="n">question_type</span> <span class="o">=</span> <span class="n">cfg</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s2">"type"</span><span class="p">,</span> <span class="s2">"default"</span><span class="p">)</span>
+        <span class="n">handlers</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">QUESTION_MAPPING</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="n">question_type</span><span class="p">)(</span><span class="o">**</span><span class="n">cfg</span><span class="p">))</span>
+
+    <span class="c1"># Go over the batches of text files and question them:</span>
+    <span class="k">for</span> <span class="n">file_batch</span> <span class="ow">in</span> <span class="n">tqdm</span><span class="p">(</span>
+        <span class="n">file_batches</span><span class="p">,</span>
+        <span class="n">desc</span><span class="o">=</span><span class="s2">"Generating answers"</span><span class="p">,</span>
+        <span class="n">unit</span><span class="o">=</span><span class="sa">f</span><span class="s2">"file (batch of </span><span class="si">{</span><span class="n">batch_size</span><span class="si">}</span><span class="s2">)"</span><span class="p">,</span>
+        <span class="n">disable</span><span class="o">=</span><span class="ow">not</span> <span class="n">verbose</span><span class="p">,</span>
+    <span class="p">):</span>
+        <span class="k">try</span><span class="p">:</span>
+            <span class="n">total_answers</span> <span class="o">=</span> <span class="p">[[]</span> <span class="k">for</span> <span class="n">_</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">batch_size</span><span class="p">)]</span>
+
+            <span class="c1"># Go over all question group per batch of documents</span>
+            <span class="k">for</span> <span class="n">question_group</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">number_of_question_groups</span><span class="p">):</span>
+                <span class="n">current_questions_amount</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">questions</span><span class="p">[</span><span class="n">question_group</span><span class="p">])</span>
+
+                <span class="c1"># Read batch (read the text from the text files):</span>
+                <span class="n">batched_input</span> <span class="o">=</span> <span class="n">_read_file_batch</span><span class="p">(</span>
+                    <span class="n">file_batch</span><span class="o">=</span><span class="n">file_batch</span><span class="p">,</span>
+                    <span class="n">prompt_template</span><span class="o">=</span><span class="n">prompt_template</span><span class="p">[</span><span class="n">question_group</span><span class="p">],</span>
+                <span class="p">)</span>
+
+                <span class="c1"># Answer the questions with each question handler:</span>
+                <span class="n">batched_answers</span> <span class="o">=</span> <span class="n">handlers</span><span class="p">[</span><span class="n">question_group</span><span class="p">]</span><span class="o">.</span><span class="n">answer</span><span class="p">(</span>
+                    <span class="n">questions_amount</span><span class="o">=</span><span class="n">current_questions_amount</span><span class="p">,</span>
+                    <span class="n">batched_input</span><span class="o">=</span><span class="n">batched_input</span><span class="p">,</span>
+                    <span class="n">generation_pipeline</span><span class="o">=</span><span class="n">generation_pipeline</span><span class="p">,</span>
+                    <span class="n">generation_config</span><span class="o">=</span><span class="n">generation_config</span><span class="p">[</span><span class="n">question_group</span><span class="p">],</span>
+                <span class="p">)</span>
+
+                <span class="c1"># Put the answers in the correct place in the total answers list according to the place in the batch:</span>
+                <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">batch_size</span><span class="p">):</span>
+                    <span class="n">total_answers</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">extend</span><span class="p">(</span><span class="n">batched_answers</span><span class="p">[</span><span class="n">i</span><span class="p">])</span>
+
+            <span class="c1"># Collect the answers and attach the file name:</span>
+            <span class="n">successes</span><span class="o">.</span><span class="n">extend</span><span class="p">(</span>
+                <span class="p">[</span>
+                    <span class="p">[</span><span class="n">file</span><span class="o">.</span><span class="n">name</span><span class="p">,</span> <span class="o">*</span><span class="n">answers</span><span class="p">]</span>
+                    <span class="k">for</span> <span class="n">file</span><span class="p">,</span> <span class="n">answers</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="n">file_batch</span><span class="p">,</span> <span class="n">total_answers</span><span class="p">)</span>
+                <span class="p">]</span>
+            <span class="p">)</span>
+        <span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">exception</span><span class="p">:</span>
+            <span class="c1"># Note the exception as error in the dictionary:</span>
+            <span class="n">batch_file_names</span> <span class="o">=</span> <span class="s2">", "</span><span class="o">.</span><span class="n">join</span><span class="p">([</span><span class="n">file</span><span class="o">.</span><span class="n">name</span> <span class="k">for</span> <span class="n">file</span> <span class="ow">in</span> <span class="n">file_batch</span><span class="p">])</span>
+            <span class="k">if</span> <span class="n">verbose</span><span class="p">:</span>
+                <span class="n">_LOGGER</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span>
+                    <span class="sa">f</span><span class="s2">"Error in batch '</span><span class="si">{</span><span class="n">batch_file_names</span><span class="si">}</span><span class="s2">': </span><span class="si">{</span><span class="nb">str</span><span class="p">(</span><span class="n">exception</span><span class="p">)</span><span class="si">}</span><span class="s2">"</span>
+                <span class="p">)</span>
+            <span class="n">errors</span><span class="p">[</span><span class="n">batch_file_names</span><span class="p">]</span> <span class="o">=</span> <span class="nb">str</span><span class="p">(</span><span class="n">exception</span><span class="p">)</span>
+            <span class="k">continue</span>
+
+    <span class="c1"># Construct the answers dataframe:</span>
+    <span class="n">columns</span> <span class="o">=</span> <span class="p">[</span>
+        <span class="s2">"text_file"</span><span class="p">,</span>
+        <span class="o">*</span><span class="n">questions_columns</span><span class="p">,</span>
+    <span class="p">]</span>
+
+    <span class="c1"># Create a data frame of answers by files</span>
+    <span class="n">successes</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span>
+        <span class="n">successes</span><span class="p">,</span>
+        <span class="n">columns</span><span class="o">=</span><span class="n">columns</span><span class="p">,</span>
+    <span class="p">)</span>
+
+    <span class="c1"># Print the head of the produced dataframe and return:</span>
+    <span class="k">if</span> <span class="n">verbose</span><span class="p">:</span>
+        <span class="n">_LOGGER</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+            <span class="sa">f</span><span class="s2">"Done (</span><span class="si">{</span><span class="n">successes</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="si">}</span><span class="s2">/</span><span class="si">{</span><span class="nb">len</span><span class="p">(</span><span class="n">text_files</span><span class="p">)</span><span class="si">}</span><span class="s2">)</span><span class="se">\n</span><span class="s2">"</span>
+            <span class="sa">f</span><span class="s2">"Answers summary:</span><span class="se">\n</span><span class="s2">"</span>
+            <span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">successes</span><span class="o">.</span><span class="n">head</span><span class="p">()</span><span class="si">}</span><span class="s2">"</span>
+        <span class="p">)</span>
+    <span class="k">return</span> <span class="n">successes</span><span class="p">,</span> <span class="n">errors</span></div>
+
+
+<span class="k">def</span> <span class="nf">_get_text_files</span><span class="p">(</span>
+    <span class="n">data_path</span><span class="p">:</span> <span class="n">pathlib</span><span class="o">.</span><span class="n">Path</span><span class="p">,</span>
+<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="n">pathlib</span><span class="o">.</span><span class="n">Path</span><span class="p">]:</span>
+
+    <span class="c1"># Check if the path is of a directory or a file:</span>
+    <span class="k">if</span> <span class="n">data_path</span><span class="o">.</span><span class="n">is_dir</span><span class="p">():</span>
+
+        <span class="c1"># Get all files inside the directory:</span>
+        <span class="n">text_files</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">data_path</span><span class="o">.</span><span class="n">glob</span><span class="p">(</span><span class="s2">"*.*"</span><span class="p">))</span>
+    <span class="k">elif</span> <span class="n">data_path</span><span class="o">.</span><span class="n">is_file</span><span class="p">():</span>
+        <span class="n">text_files</span> <span class="o">=</span> <span class="p">[</span><span class="n">data_path</span><span class="p">]</span>
+    <span class="k">else</span><span class="p">:</span>
+        <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span>
+            <span class="sa">f</span><span class="s2">"Unrecognized data path. The parameter `data_path` must be either a directory path or a file path. "</span>
+            <span class="sa">f</span><span class="s2">"Given: </span><span class="si">{</span><span class="nb">str</span><span class="p">(</span><span class="n">data_path</span><span class="p">)</span><span class="si">}</span><span class="s2"> "</span>
+        <span class="p">)</span>
+
+    <span class="k">return</span> <span class="n">text_files</span>
+
+
+<span class="k">def</span> <span class="nf">_get_prompt_template</span><span class="p">(</span>
+    <span class="n">text_wrapper</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
+    <span class="n">questions_wrapper</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
+    <span class="n">questions</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">],</span>
+<span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">str</span><span class="p">:</span>
+
+    <span class="c1"># Validate and build the text wrapper:</span>
+    <span class="n">text_wrapper</span> <span class="o">=</span> <span class="n">text_wrapper</span> <span class="ow">or</span> <span class="p">(</span>
+        <span class="s2">"Given the following text:</span><span class="se">\n</span><span class="s2">"</span> <span class="s2">"-----</span><span class="se">\n</span><span class="s2">"</span> <span class="s2">"</span><span class="si">{}</span><span class="se">\n</span><span class="s2">"</span> <span class="s2">"-----"</span>
+    <span class="p">)</span>
+    <span class="k">if</span> <span class="n">text_wrapper</span><span class="o">.</span><span class="n">count</span><span class="p">(</span><span class="s2">"</span><span class="si">{}</span><span class="s2">"</span><span class="p">)</span> <span class="o">!=</span> <span class="mi">1</span><span class="p">:</span>
+        <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span>
+            <span class="s2">"The `text_wrapper` must include one placeholder '</span><span class="si">{}</span><span class="s2">' for the text of the file to be asked about."</span>
+        <span class="p">)</span>
+
+    <span class="c1"># Validate and build the question wrapper:</span>
+    <span class="n">questions_wrapper</span> <span class="o">=</span> <span class="n">questions_wrapper</span> <span class="ow">or</span> <span class="s2">"Answer the questions:</span><span class="se">\n</span><span class="s2">"</span> <span class="s2">"</span><span class="si">{}</span><span class="s2">"</span>
+    <span class="k">if</span> <span class="n">questions_wrapper</span><span class="o">.</span><span class="n">count</span><span class="p">(</span><span class="s2">"</span><span class="si">{}</span><span class="s2">"</span><span class="p">)</span> <span class="o">!=</span> <span class="mi">1</span><span class="p">:</span>
+        <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span>
+            <span class="s2">"The `questions_wrapper` must include one placeholder '</span><span class="si">{}</span><span class="s2">' for the list of questions."</span>
+        <span class="p">)</span>
+
+    <span class="c1"># Validate and parse the questions:</span>
+    <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">questions</span><span class="p">)</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
+        <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">"Please include at least one question."</span><span class="p">)</span>
+    <span class="n">questions</span> <span class="o">=</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span><span class="o">.</span><span class="n">join</span><span class="p">(</span>
+        <span class="p">[</span><span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">i</span><span class="si">}</span><span class="s2">. </span><span class="si">{</span><span class="n">question</span><span class="si">}</span><span class="s2">"</span> <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">question</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">questions</span><span class="p">,</span> <span class="mi">1</span><span class="p">)]</span>
+    <span class="p">)</span>
+
+    <span class="c1"># Construct the template:</span>
+    <span class="k">return</span> <span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">text_wrapper</span><span class="si">}</span><span class="se">\n</span><span class="si">{</span><span class="n">questions_wrapper</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">questions</span><span class="p">)</span><span class="si">}</span><span class="se">\n</span><span class="s2">"</span>
+
+
+<span class="k">def</span> <span class="nf">_get_generation_pipeline</span><span class="p">(</span>
+    <span class="n">model_name</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
+    <span class="n">device_map</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">dict</span><span class="p">],</span>
+    <span class="n">tokenizer_name</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
+    <span class="n">model_kwargs</span><span class="p">:</span> <span class="nb">dict</span><span class="p">,</span>
+    <span class="n">tokenizer_kwargs</span><span class="p">:</span> <span class="nb">dict</span><span class="p">,</span>
+    <span class="n">auto_gptq_exllama_max_input_length</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">batch_size</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1</span><span class="p">,</span>
+<span class="p">):</span>
+    <span class="c1"># Load the model:</span>
+    <span class="n">model</span> <span class="o">=</span> <span class="n">transformers</span><span class="o">.</span><span class="n">AutoModelForCausalLM</span><span class="o">.</span><span class="n">from_pretrained</span><span class="p">(</span>
+        <span class="n">model_name</span><span class="p">,</span> <span class="n">device_map</span><span class="o">=</span><span class="n">device_map</span><span class="p">,</span> <span class="o">**</span><span class="n">model_kwargs</span>
+    <span class="p">)</span>
+
+    <span class="c1"># Set exllama max input length if provided:</span>
+    <span class="c1"># This changes the model's context size.</span>
+    <span class="k">if</span> <span class="n">auto_gptq_exllama_max_input_length</span><span class="p">:</span>
+        <span class="kn">from</span> <span class="nn">auto_gptq</span> <span class="kn">import</span> <span class="n">exllama_set_max_input_length</span>
+
+        <span class="n">model</span> <span class="o">=</span> <span class="n">exllama_set_max_input_length</span><span class="p">(</span>
+            <span class="n">model</span><span class="o">=</span><span class="n">model</span><span class="p">,</span> <span class="n">max_input_length</span><span class="o">=</span><span class="n">auto_gptq_exllama_max_input_length</span>
+        <span class="p">)</span>
+
+    <span class="c1"># Load the tokenizer:</span>
+    <span class="n">tokenizer</span> <span class="o">=</span> <span class="n">transformers</span><span class="o">.</span><span class="n">AutoTokenizer</span><span class="o">.</span><span class="n">from_pretrained</span><span class="p">(</span>
+        <span class="n">tokenizer_name</span><span class="p">,</span> <span class="o">**</span><span class="n">tokenizer_kwargs</span>
+    <span class="p">)</span>
+
+    <span class="c1"># Initialize a generation pipline and return:</span>
+    <span class="n">pipe</span> <span class="o">=</span> <span class="n">transformers</span><span class="o">.</span><span class="n">pipeline</span><span class="p">(</span>
+        <span class="n">task</span><span class="o">=</span><span class="s2">"text-generation"</span><span class="p">,</span>
+        <span class="n">model</span><span class="o">=</span><span class="n">model</span><span class="p">,</span>
+        <span class="n">tokenizer</span><span class="o">=</span><span class="n">tokenizer</span><span class="p">,</span>
+        <span class="n">batch_size</span><span class="o">=</span><span class="n">batch_size</span><span class="p">,</span>
+    <span class="p">)</span>
+    <span class="n">pipe</span><span class="o">.</span><span class="n">tokenizer</span><span class="o">.</span><span class="n">pad_token_id</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">eos_token_id</span>
+    <span class="k">return</span> <span class="n">pipe</span>
+
+
+<span class="k">def</span> <span class="nf">_read_file_batch</span><span class="p">(</span>
+    <span class="n">file_batch</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">pathlib</span><span class="o">.</span><span class="n">Path</span><span class="p">],</span>
+    <span class="n">prompt_template</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
+<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">]:</span>
+    <span class="n">batch</span> <span class="o">=</span> <span class="p">[]</span>
+
+    <span class="c1"># Go over all files and read in usable format</span>
+    <span class="k">for</span> <span class="n">file</span> <span class="ow">in</span> <span class="n">file_batch</span><span class="p">:</span>
+        <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">file</span><span class="p">,</span> <span class="s2">"r"</span><span class="p">,</span> <span class="n">encoding</span><span class="o">=</span><span class="s2">"utf-8"</span><span class="p">)</span> <span class="k">as</span> <span class="n">fp</span><span class="p">:</span>
+            <span class="n">batch</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">prompt_template</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">fp</span><span class="o">.</span><span class="n">read</span><span class="p">()))</span>
+    <span class="k">return</span> <span class="n">batch</span>
+
+
+<span class="k">def</span> <span class="nf">_to_group_list</span><span class="p">(</span><span class="n">argument_value</span><span class="p">:</span> <span class="nb">list</span><span class="p">,</span> <span class="n">argument_name</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">length</span><span class="p">:</span> <span class="nb">int</span><span class="p">):</span>
+
+    <span class="c1"># Check if is list, turn to list if not</span>
+    <span class="n">argument_value</span> <span class="o">=</span> <span class="p">(</span>
+        <span class="n">argument_value</span> <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">argument_value</span><span class="p">,</span> <span class="nb">list</span><span class="p">)</span> <span class="k">else</span> <span class="p">[</span><span class="n">argument_value</span><span class="p">]</span>
+    <span class="p">)</span>
+    <span class="n">list_len</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">argument_value</span><span class="p">)</span>
+
+    <span class="c1"># If not a list, or is a list of len 1 we duplicate for correct length</span>
+    <span class="c1"># If list in wrong length throw an error</span>
+    <span class="k">if</span> <span class="n">list_len</span> <span class="o">!=</span> <span class="n">length</span><span class="p">:</span>
+        <span class="k">if</span> <span class="n">list_len</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
+            <span class="k">return</span> <span class="n">argument_value</span> <span class="o">*</span> <span class="n">length</span>
+        <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span>
+            <span class="sa">f</span><span class="s2">"The argument value of '</span><span class="si">{</span><span class="n">argument_name</span><span class="si">}</span><span class="s2">' is not equal to the length of the given questions - </span><span class="si">{</span><span class="n">length</span><span class="si">}</span><span class="s2">"</span>
+        <span class="p">)</span>
+    <span class="k">return</span> <span class="n">argument_value</span>
+
+
+<div class="viewcode-block" id="QuestionHandler"><a class="viewcode-back" href="documentation.html#question_answering.question_answering.QuestionHandler">[docs]</a><span class="k">class</span> <span class="nc">QuestionHandler</span><span class="p">:</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    A class for handling questions answering for a given question type.</span>
+<span class="sd">    This class is used as a base class for all question types, and for default question type (regular question</span>
+<span class="sd">    answering without any special handling).</span>
+<span class="sd">    """</span>
+
+<div class="viewcode-block" id="QuestionHandler.ConfigKeys"><a class="viewcode-back" href="documentation.html#question_answering.question_answering.QuestionHandler.ConfigKeys">[docs]</a>    <span class="k">class</span> <span class="nc">ConfigKeys</span><span class="p">:</span>
+        <span class="k">pass</span></div>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="k">pass</span>
+
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">_get_answers</span><span class="p">(</span><span class="n">generated_text</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">questions_amount</span><span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">]:</span>
+
+        <span class="c1"># Clear answer start (part before numbers):</span>
+        <span class="c1"># TODO find better way to verify, for list of questions this is redundant for example</span>
+        <span class="k">if</span> <span class="s2">"1."</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">generated_text</span><span class="p">:</span>
+            <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span>
+                <span class="sa">f</span><span class="s2">"Answer 1. is missing from the generated text: '</span><span class="si">{</span><span class="n">generated_text</span><span class="si">}</span><span class="s2">'"</span>
+            <span class="p">)</span>
+        <span class="n">text</span> <span class="o">=</span> <span class="n">generated_text</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"1."</span><span class="p">,</span> <span class="mi">1</span><span class="p">)[</span><span class="mi">1</span><span class="p">]</span>
+
+        <span class="c1"># Start extracting the answers:</span>
+        <span class="n">answers</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="n">questions_amount</span> <span class="o">+</span> <span class="mi">1</span><span class="p">):</span>
+            <span class="c1"># If it's the last answer to look for, take the rest of the text:</span>
+            <span class="k">if</span> <span class="n">i</span> <span class="o">==</span> <span class="n">questions_amount</span><span class="p">:</span>
+                <span class="n">answer_i</span> <span class="o">=</span> <span class="n">text</span>
+            <span class="c1"># Verify there is a question number in the text:</span>
+            <span class="k">elif</span> <span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">i</span><span class="w"> </span><span class="o">+</span><span class="w"> </span><span class="mi">1</span><span class="si">}</span><span class="s2">."</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">text</span><span class="p">:</span>
+                <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span>
+                    <span class="sa">f</span><span class="s2">"Answer </span><span class="si">{</span><span class="n">i</span><span class="w"> </span><span class="o">+</span><span class="w"> </span><span class="mi">1</span><span class="si">}</span><span class="s2">. is missing from the generated text: '</span><span class="si">{</span><span class="n">generated_text</span><span class="si">}</span><span class="s2">'"</span>
+                <span class="p">)</span>
+            <span class="c1"># Take i's answer:</span>
+            <span class="k">else</span><span class="p">:</span>
+                <span class="n">answer_i</span><span class="p">,</span> <span class="n">text</span> <span class="o">=</span> <span class="n">text</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">i</span><span class="w"> </span><span class="o">+</span><span class="w"> </span><span class="mi">1</span><span class="si">}</span><span class="s2">."</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
+            <span class="c1"># Collect the answer removing redundant spaces:</span>
+            <span class="n">answers</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">answer_i</span><span class="o">.</span><span class="n">strip</span><span class="p">())</span>
+
+        <span class="k">return</span> <span class="n">answers</span>
+
+    <span class="k">def</span> <span class="nf">_infer_questions</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">questions_amount</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+        <span class="n">batched_input</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">],</span>
+        <span class="n">generation_pipeline</span><span class="p">:</span> <span class="n">transformers</span><span class="o">.</span><span class="n">Pipeline</span><span class="p">,</span>
+        <span class="n">generation_config</span><span class="p">:</span> <span class="n">transformers</span><span class="o">.</span><span class="n">GenerationConfig</span><span class="p">,</span>
+    <span class="p">)</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">]]:</span>
+
+        <span class="c1"># Infer through the llm:</span>
+        <span class="n">batched_output</span> <span class="o">=</span> <span class="n">generation_pipeline</span><span class="p">(</span>
+            <span class="n">batched_input</span><span class="p">,</span>
+            <span class="n">generation_config</span><span class="o">=</span><span class="n">generation_config</span><span class="p">,</span>
+            <span class="n">eos_token_id</span><span class="o">=</span><span class="n">generation_pipeline</span><span class="o">.</span><span class="n">tokenizer</span><span class="o">.</span><span class="n">eos_token_id</span><span class="p">,</span>
+            <span class="n">return_full_text</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+            <span class="n">num_return_sequences</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
+        <span class="p">)</span>
+
+        <span class="c1"># Process the outputs to get the answers:</span>
+        <span class="n">batched_answers</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="k">for</span> <span class="n">output</span> <span class="ow">in</span> <span class="n">batched_output</span><span class="p">:</span>
+            <span class="c1"># Get the generated answers:</span>
+            <span class="n">answers</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_get_answers</span><span class="p">(</span>
+                <span class="n">generated_text</span><span class="o">=</span><span class="n">output</span><span class="p">[</span><span class="mi">0</span><span class="p">][</span><span class="s2">"generated_text"</span><span class="p">],</span>
+                <span class="n">questions_amount</span><span class="o">=</span><span class="n">questions_amount</span><span class="p">,</span>
+            <span class="p">)</span>
+            <span class="c1"># Collect the processed answers:</span>
+            <span class="n">batched_answers</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">answers</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">batched_answers</span>
+
+<div class="viewcode-block" id="QuestionHandler.answer"><a class="viewcode-back" href="documentation.html#question_answering.question_answering.QuestionHandler.answer">[docs]</a>    <span class="k">def</span> <span class="nf">answer</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">questions_amount</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+        <span class="n">batched_input</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">],</span>
+        <span class="n">generation_pipeline</span><span class="p">:</span> <span class="n">transformers</span><span class="o">.</span><span class="n">Pipeline</span><span class="p">,</span>
+        <span class="n">generation_config</span><span class="p">:</span> <span class="n">transformers</span><span class="o">.</span><span class="n">GenerationConfig</span><span class="p">,</span>
+    <span class="p">)</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">]]:</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Answer questions with a context to the given text files contents by a pretrained LLM model in given pipeline.</span>
+<span class="sd">        """</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_infer_questions</span><span class="p">(</span>
+            <span class="n">questions_amount</span><span class="o">=</span><span class="n">questions_amount</span><span class="p">,</span>
+            <span class="n">batched_input</span><span class="o">=</span><span class="n">batched_input</span><span class="p">,</span>
+            <span class="n">generation_pipeline</span><span class="o">=</span><span class="n">generation_pipeline</span><span class="p">,</span>
+            <span class="n">generation_config</span><span class="o">=</span><span class="n">generation_config</span><span class="p">,</span>
+        <span class="p">)</span></div></div>
+
+
+<div class="viewcode-block" id="PollQuestionHandler"><a class="viewcode-back" href="documentation.html#question_answering.question_answering.PollQuestionHandler">[docs]</a><span class="k">class</span> <span class="nc">PollQuestionHandler</span><span class="p">(</span><span class="n">QuestionHandler</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    Static class to hold all the possible poll question configurations options keys</span>
+<span class="sd">    """</span>
+
+<div class="viewcode-block" id="PollQuestionHandler.ConfigKeys"><a class="viewcode-back" href="documentation.html#question_answering.question_answering.PollQuestionHandler.ConfigKeys">[docs]</a>    <span class="k">class</span> <span class="nc">ConfigKeys</span><span class="p">:</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        A class for handling questions answering for poll type questions.</span>
+<span class="sd">        These type of question are answered by asking the same question multiple times</span>
+<span class="sd">        and choosing the most common answer or the average answer.</span>
+<span class="sd">        """</span>
+
+        <span class="c1">#: The number of times to ask the same question.</span>
+        <span class="n">POLL_COUNT</span> <span class="o">=</span> <span class="s2">"poll_count"</span>
+
+        <span class="c1">#: The strategy to use for choosing the answer from the poll.</span>
+        <span class="n">POLL_STRATEGY</span> <span class="o">=</span> <span class="s2">"poll_strategy"</span></div>
+
+<div class="viewcode-block" id="PollQuestionHandler.Strategy"><a class="viewcode-back" href="documentation.html#question_answering.question_answering.PollQuestionHandler.Strategy">[docs]</a>    <span class="k">class</span> <span class="nc">Strategy</span><span class="p">(</span><span class="n">enum</span><span class="o">.</span><span class="n">Enum</span><span class="p">):</span>
+        <span class="c1">#: The most common answer strategy.</span>
+        <span class="n">MOST_COMMON</span> <span class="o">=</span> <span class="s2">"most_common"</span>
+
+        <span class="c1">#: The average answer strategy.</span>
+        <span class="n">AVERAGE</span> <span class="o">=</span> <span class="s2">"average"</span>
+
+<div class="viewcode-block" id="PollQuestionHandler.Strategy.most_common"><a class="viewcode-back" href="documentation.html#question_answering.question_answering.PollQuestionHandler.Strategy.most_common">[docs]</a>        <span class="nd">@staticmethod</span>
+        <span class="k">def</span> <span class="nf">most_common</span><span class="p">(</span><span class="n">answers</span><span class="p">):</span>
+<span class="w">            </span><span class="sd">"""</span>
+<span class="sd">            Calculate the most common answer for a given list of answers.</span>
+<span class="sd">            """</span>
+            <span class="n">count</span> <span class="o">=</span> <span class="n">Counter</span><span class="p">(</span><span class="n">answers</span><span class="p">)</span>
+            <span class="n">most_common</span> <span class="o">=</span> <span class="n">count</span><span class="o">.</span><span class="n">most_common</span><span class="p">(</span><span class="mi">1</span><span class="p">)</span>
+            <span class="k">return</span> <span class="n">most_common</span><span class="p">[</span><span class="mi">0</span><span class="p">][</span><span class="mi">0</span><span class="p">]</span></div>
+
+<div class="viewcode-block" id="PollQuestionHandler.Strategy.average"><a class="viewcode-back" href="documentation.html#question_answering.question_answering.PollQuestionHandler.Strategy.average">[docs]</a>        <span class="nd">@staticmethod</span>
+        <span class="k">def</span> <span class="nf">average</span><span class="p">(</span><span class="n">answers</span><span class="p">):</span>
+<span class="w">            </span><span class="sd">"""</span>
+<span class="sd">            Calculate the average answer for a given list of answers.</span>
+<span class="sd">            """</span>
+            <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">answers</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="nb">str</span><span class="p">):</span>
+                <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span>
+                    <span class="s2">"Cannot perform poll with average answer strategy of non numeric values,"</span>
+                    <span class="s2">" please change the question to give numeric data, or choose 'most_common' as strategy."</span>
+                <span class="p">)</span>
+            <span class="k">else</span><span class="p">:</span>
+                <span class="n">numeric_values</span> <span class="o">=</span> <span class="n">answers</span>
+            <span class="n">avg</span> <span class="o">=</span> <span class="nb">sum</span><span class="p">(</span><span class="n">numeric_values</span><span class="p">)</span> <span class="o">/</span> <span class="nb">len</span><span class="p">(</span><span class="n">numeric_values</span><span class="p">)</span>
+
+            <span class="c1"># Round to the closest integer and return corresponding value</span>
+            <span class="k">return</span> <span class="nb">round</span><span class="p">(</span><span class="n">avg</span><span class="p">)</span></div>
+
+<div class="viewcode-block" id="PollQuestionHandler.Strategy.do"><a class="viewcode-back" href="documentation.html#question_answering.question_answering.PollQuestionHandler.Strategy.do">[docs]</a>        <span class="k">def</span> <span class="nf">do</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">answers</span><span class="p">):</span>
+<span class="w">            </span><span class="sd">"""</span>
+<span class="sd">            Perform the strategy.</span>
+<span class="sd">            """</span>
+            <span class="k">return</span> <span class="nb">getattr</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">value</span><span class="p">)(</span><span class="n">answers</span><span class="p">)</span></div></div>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span> <span class="n">poll_count</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">5</span><span class="p">,</span> <span class="n">poll_strategy</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">"most_common"</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">poll_count</span> <span class="o">=</span> <span class="n">poll_count</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">poll_strategy</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">Strategy</span><span class="p">(</span><span class="n">poll_strategy</span><span class="p">)</span>
+
+<div class="viewcode-block" id="PollQuestionHandler.answer"><a class="viewcode-back" href="documentation.html#question_answering.question_answering.PollQuestionHandler.answer">[docs]</a>    <span class="k">def</span> <span class="nf">answer</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">questions_amount</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+        <span class="n">batched_input</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">],</span>
+        <span class="n">generation_pipeline</span><span class="p">:</span> <span class="n">transformers</span><span class="o">.</span><span class="n">Pipeline</span><span class="p">,</span>
+        <span class="n">generation_config</span><span class="p">:</span> <span class="n">transformers</span><span class="o">.</span><span class="n">GenerationConfig</span><span class="p">,</span>
+    <span class="p">)</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">]]:</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Answer questions with a context to the given text files contents by a pretrained LLM model in given pipeline.</span>
+<span class="sd">        """</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_answer_poll_questions</span><span class="p">(</span>
+            <span class="n">questions_amount</span><span class="o">=</span><span class="n">questions_amount</span><span class="p">,</span>
+            <span class="n">batched_input</span><span class="o">=</span><span class="n">batched_input</span><span class="p">,</span>
+            <span class="n">generation_pipeline</span><span class="o">=</span><span class="n">generation_pipeline</span><span class="p">,</span>
+            <span class="n">generation_config</span><span class="o">=</span><span class="n">generation_config</span><span class="p">,</span>
+        <span class="p">)</span></div>
+
+    <span class="k">def</span> <span class="nf">_answer_poll_questions</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">questions_amount</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+        <span class="n">batched_input</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">],</span>
+        <span class="n">generation_pipeline</span><span class="p">:</span> <span class="n">transformers</span><span class="o">.</span><span class="n">Pipeline</span><span class="p">,</span>
+        <span class="n">generation_config</span><span class="p">:</span> <span class="n">transformers</span><span class="o">.</span><span class="n">GenerationConfig</span><span class="p">,</span>
+    <span class="p">)</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">]]:</span>
+        <span class="n">votes</span> <span class="o">=</span> <span class="p">[]</span>
+
+        <span class="c1"># Run the poll for each question</span>
+        <span class="k">for</span> <span class="n">_</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">poll_count</span><span class="p">):</span>
+            <span class="n">batched_answers</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_infer_questions</span><span class="p">(</span>
+                <span class="n">questions_amount</span><span class="o">=</span><span class="n">questions_amount</span><span class="p">,</span>
+                <span class="n">batched_input</span><span class="o">=</span><span class="n">batched_input</span><span class="p">,</span>
+                <span class="n">generation_pipeline</span><span class="o">=</span><span class="n">generation_pipeline</span><span class="p">,</span>
+                <span class="n">generation_config</span><span class="o">=</span><span class="n">generation_config</span><span class="p">,</span>
+            <span class="p">)</span>
+            <span class="n">votes</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">batched_answers</span><span class="p">)</span>
+        <span class="n">answers</span> <span class="o">=</span> <span class="p">[]</span>
+
+        <span class="c1"># Collect the answers according to the poll strategy</span>
+        <span class="c1"># Average strategy works for numeric values only</span>
+        <span class="k">for</span> <span class="n">batch</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">votes</span><span class="p">[</span><span class="mi">0</span><span class="p">])):</span>
+            <span class="n">batched_answers</span> <span class="o">=</span> <span class="p">[]</span>
+            <span class="k">for</span> <span class="n">question</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">questions_amount</span><span class="p">):</span>
+                <span class="c1"># Create a list of all answers to relevant question</span>
+                <span class="n">answer</span> <span class="o">=</span> <span class="p">[</span>
+                    <span class="n">votes</span><span class="p">[</span><span class="n">voter</span><span class="p">][</span><span class="n">batch</span><span class="p">][</span><span class="n">question</span><span class="p">]</span> <span class="k">for</span> <span class="n">voter</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">poll_count</span><span class="p">)</span>
+                <span class="p">]</span>
+                <span class="n">answer</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">poll_strategy</span><span class="o">.</span><span class="n">do</span><span class="p">(</span><span class="n">answer</span><span class="p">)</span>
+                <span class="n">batched_answers</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">answer</span><span class="p">)</span>
+            <span class="n">answers</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">batched_answers</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">answers</span></div>
+
+
+<span class="c1"># Holds names of QuestionHandles</span>
+<div class="viewcode-block" id="QuestionTypes"><a class="viewcode-back" href="documentation.html#question_answering.question_answering.QuestionTypes">[docs]</a><span class="k">class</span> <span class="nc">QuestionTypes</span><span class="p">:</span>
+    <span class="n">DEFAULT</span> <span class="o">=</span> <span class="s2">"default"</span>
+    <span class="n">POLL</span> <span class="o">=</span> <span class="s2">"poll"</span></div>
+
+
+<span class="c1"># Maps question types to their handlers</span>
+<span class="n">QUESTION_MAPPING</span> <span class="o">=</span> <span class="p">{</span>
+    <span class="n">QuestionTypes</span><span class="o">.</span><span class="n">DEFAULT</span><span class="p">:</span> <span class="n">QuestionHandler</span><span class="p">,</span>
+    <span class="n">QuestionTypes</span><span class="o">.</span><span class="n">POLL</span><span class="p">:</span> <span class="n">PollQuestionHandler</span><span class="p">,</span>
+<span class="p">}</span>
+</pre></div>
+</div>
+</main>
+<footer class="footer-article noprint">
+<!-- Previous / next buttons -->
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+<footer class="col footer"><p>
+  
+      © Copyright .<br/>
+</p>
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+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta content="IE=edge" http-equiv="X-UA-Compatible">
+    <meta content="width=device-width, initial-scale=1.0" name="viewport">
+    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/styles/atom-one-dark.min.css">
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+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/languages/python.min.js"></script>
+    <title>Source</title>
+    <script>hljs.highlightAll();</script>
+</head>
+
+<body style="background-color:darkgray; margin: 0 0 0 0;">
+    <pre style="margin: 0 1em;">
+        <code class="python">
+# Copyright 2023 Iguazio
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+import enum
+import logging
+import operator
+import pathlib
+from collections import Counter
+from functools import reduce, wraps
+from typing import Any, Dict, List, Tuple, Union
+
+import pandas as pd
+import transformers
+from tqdm import tqdm
+
+# Get the global logger:
+_LOGGER = logging.getLogger()
+
+
+def _check_mlrun_and_open_mpi() -> Tuple["mlrun.MLClientCtx", "mpi4py.MPI.Intracomm"]:
+    global _LOGGER
+
+    is_mpi = False
+    try:
+        import mlrun
+
+        context = mlrun.get_or_create_ctx(name="mlrun")
+        _LOGGER = context.logger
+        is_mpi = context.labels.get("kind", "job") == "mpijob"
+
+        if is_mpi:
+            try:
+                from mpi4py import MPI
+
+                return context, MPI.COMM_WORLD
+            except ModuleNotFoundError as mpi4py_not_found:
+                context.logger.error(
+                    "To distribute the function using MLRun's 'mpijob' you need to have `mpi4py` package in your "
+                    "interpreter. Please run `pip install mpi4py` and make sure you have open-mpi."
+                )
+                raise mpi4py_not_found
+    except ModuleNotFoundError as module_not_found:
+        if is_mpi:
+            raise module_not_found
+    return None, None
+
+
+def open_mpi_handler(
+    worker_inputs: List[str], root_worker_inputs: Dict[str, Any] = None
+):
+    global _LOGGER
+
+    # Check for MLRun and OpenMPI availability:
+    context, comm = _check_mlrun_and_open_mpi()
+
+    def decorator(handler):
+        if comm is None or comm.Get_size() == 1:
+            return handler
+
+        @wraps(handler)
+        def wrapper(**kwargs):
+            # Get the open mpi environment properties:
+            size = comm.Get_size()
+            rank = comm.Get_rank()
+
+            # Give the correct chunk of the workers inputs:
+            for worker_input in worker_inputs:
+                input_argument = kwargs[worker_input]
+                if input_argument is None:
+                    continue
+                if isinstance(input_argument, str):
+                    input_argument = _get_text_files(
+                        data_path=pathlib.Path(input_argument).absolute()
+                    )
+                if len(input_argument) < size:
+                    raise ValueError(
+                        f"Cannot split the input '{worker_input}' of length {len(input_argument)} to {size} workers. "
+                        f"Please reduce the amount of workers for this input."
+                    )
+                even_chunk_size = len(input_argument) // size
+                chunk_start = rank * even_chunk_size
+                chunk_end = (
+                    (rank + 1) * even_chunk_size
+                    if rank + 1 < size
+                    else len(input_argument)
+                )
+                context.logger.info(
+                    f"Rank #{rank}: Processing input chunk of '{worker_input}' "
+                    f"from index {chunk_start} to {chunk_end}."
+                )
+                if isinstance(input_argument, list):
+                    input_argument = input_argument[chunk_start:chunk_end]
+                elif isinstance(input_argument, pd.DataFrame):
+                    input_argument = input_argument.iloc[chunk_start:chunk_end:, :]
+                kwargs[worker_input] = input_argument
+
+            # Set the root worker only arguments:
+            if rank == 0 and root_worker_inputs:
+                kwargs.update(root_worker_inputs)
+
+            # Run the worker:
+            output = handler(**kwargs)
+
+            # Send the output to the root rank (rank #0):
+            output = comm.gather(output, root=0)
+            if rank == 0:
+                # Join the outputs:
+                context.logger.info("Collecting data from workers to root worker.")
+                dataframe = pd.concat(objs=[df for df, _ in output], axis=0)
+                errors_dictionary = reduce(operator.ior, [err for _, err in output], {})
+                return dataframe, errors_dictionary
+            return None
+
+        return wrapper
+
+    return decorator
+
+
+@open_mpi_handler(worker_inputs=["data_path"], root_worker_inputs={"verbose": True})
+def answer_questions(
+    data_path: Union[str, List[str]],
+    model_name: str,
+    questions: Union[List[str], List[List[str]]],
+    device_map: Union[str, dict] = None,
+    model_kwargs: dict = None,
+    auto_gptq_exllama_max_input_length: int = None,
+    tokenizer_name: str = None,
+    tokenizer_kwargs: dict = None,
+    text_wrapper: Union[str, List[str]] = "",
+    questions_wrapper: Union[str, List[str]] = "",
+    generation_config: Union[Dict, List[Dict]] = None,
+    questions_config: Union[Dict, List[Dict]] = None,
+    batch_size: int = 1,
+    questions_columns: List[str] = None,
+    verbose: bool = False,
+) -> Tuple[pd.DataFrame, dict]:
+    """
+    Answer questions with a context to the given text files contents by a pretrained LLM model. Each text file will have
+    the following prompt built:
+
+    start of `text_wrapper`
+    <text file content>
+    end of `text_wrapper`
+
+    start of `questions_wrapper`
+    1. <questions[0]>
+    2. <questions[1]>
+    ...
+    n. <questions[n-1]>
+    end of `questions_wrapper`
+
+    :param data_path:                          A path to a directory of text files or a path to a text file to ask
+                                               questions about.
+    :param model_name:                         The pre-trained model name from the huggingface hub to use for asking
+                                               questions.
+    :param questions:                          The questions to ask.
+                                               A list of lists of questions to ask per text file, and devided
+                                               by question groups, the groups can be dtermained by size (in order to
+                                               avoid large inputs to the llm) or by questioning method
+                                               (regular or poll like questioning).
+    :param device_map:                         A map to use for loading the model on multiple devices.
+    :param model_kwargs:                       Keyword arguments to pass for loading the model using HuggingFace's
+                                               `transformers.AutoModelForCausalLM.from_pretrained` function.
+    :param auto_gptq_exllama_max_input_length: For AutoGPTQ models to set and extend the model's input buffer size.
+    :param tokenizer_name:                     The tokenizer name from the huggingface hub to use. If not given, the
+                                               model name will be used.
+    :param tokenizer_kwargs:                   Keyword arguments to pass for loading the tokenizer using HuggingFace's
+                                               `transformers.AutoTokenizer.from_pretrained` function.
+    :param text_wrapper:                       A wrapper for the file's text. Will be added at the start of the prompt.
+                                               Must have a placeholder ('{}') for the text of the file.
+    :param questions_wrapper:                  A wrapper for the questions received. Will be added after the text
+                                               wrapper in the prompt template. Must have a placeholder ('{}') for the
+                                               questions.
+    :param generation_config:                  HuggingFace's `GenerationConfig` keyword arguments to pass to the
+                                               `generate` method.
+    :param questions_config:                   A dictionary or list of dictionaries containing specific ways to answer
+                                               questions (using a poll for example), each dictionary in the list is for
+                                               corresponding question group and determines the question asking method
+                                               for said group.
+    :param batch_size:                         Batch size for inference.
+    :param questions_columns:                  Columns to use for the dataframe returned.
+    :param verbose:                            Whether to present logs of a progress bar and errors. Default: True.
+
+
+    :returns: A tuple of:
+
+              * A dataframe dataset of the questions answers.
+              * A dictionary of errored files that were not inferred or were not answered properly.
+    """
+    global _LOGGER
+
+    # Set configs to empty dict if not given:
+    if generation_config is None:
+        generation_config = {}
+    if questions_config is None:
+        questions_config = {}
+
+    # Get the input text files to question:
+    if verbose:
+        _LOGGER.info("Collecting text files.")
+    if isinstance(data_path, str):
+        data_path = pathlib.Path(data_path).absolute()
+        text_files = _get_text_files(data_path=data_path)
+    else:
+        text_files = data_path
+    if verbose:
+        _LOGGER.info(f"Collected {len(text_files)} text files.")
+
+    # Get the prompt template:
+    if verbose:
+        _LOGGER.info("Creating prompt template.")
+
+    # Organize questions as a list of list, and count number of sub-lists for future use
+    number_of_question_groups = 1 if isinstance(questions[0], str) else len(questions)
+    questions = _to_group_list(
+        argument_value=questions,
+        argument_name="questions",
+        length=number_of_question_groups,
+    )
+
+    # Organize prompt parts at proper length
+    text_wrapper = _to_group_list(
+        argument_value=text_wrapper,
+        argument_name="text_wrapper",
+        length=number_of_question_groups,
+    )
+    questions_wrapper = _to_group_list(
+        argument_value=questions_wrapper,
+        argument_name="questions_wrapper",
+        length=number_of_question_groups,
+    )
+
+    # Create a list of prompt according to given parts and questions
+    prompt_template = []
+    questions = questions if isinstance(questions[0], list) else [questions]
+
+    # Build all prompts
+    for i in range(number_of_question_groups):
+        prompt_template.append(
+            _get_prompt_template(
+                text_wrapper=text_wrapper[i],
+                questions_wrapper=questions_wrapper[i],
+                questions=questions[i],
+            )
+        )
+    if verbose:
+        _LOGGER.info(f"Prompt template created:\n\n{prompt_template}\n")
+
+    # Get the total amount of questions:
+    questions_amount = sum([len(sublist) for sublist in questions])
+
+    # Get the questions columns:
+    questions_columns = questions_columns or [
+        f"q{i}" for i in range(1, questions_amount + 1)
+    ]
+
+    # Check if we have the correct amount of questions columns:
+    if len(questions_columns) != questions_amount:
+        raise ValueError(
+            f"The provided questions columns length ({len(questions_columns)}) "
+            f"does not match the questions amount ({questions_amount})"
+        )
+
+    # Load the generation config:
+    if verbose:
+        _LOGGER.info("Loading generation configuration.")
+    generation_config = [
+        transformers.GenerationConfig(**(cfg or {}))
+        for cfg in _to_group_list(
+            argument_value=generation_config,
+            argument_name="generation_config",
+            length=number_of_question_groups,
+        )
+    ]
+    if verbose:
+        _LOGGER.info(f"Generation configuration loaded: {generation_config}")
+
+    # Load the model and tokenizer into a pipeline object:
+    if verbose:
+        _LOGGER.info(f"Loading model '{model_name}'.")
+    generation_pipeline = _get_generation_pipeline(
+        model_name=model_name,
+        device_map=device_map,
+        tokenizer_name=tokenizer_name or model_name,
+        model_kwargs=model_kwargs or {},
+        tokenizer_kwargs=tokenizer_kwargs or {},
+        auto_gptq_exllama_max_input_length=auto_gptq_exllama_max_input_length,
+        batch_size=batch_size,
+    )
+    if verbose:
+        _LOGGER.info("Model loaded.")
+
+    # Prepare the successes dataframe and errors dictionary to be returned:
+    successes = []
+    errors = {}
+
+    # Split the files into batches:
+    file_batches = [
+        text_files[i : i + batch_size]
+        if i + batch_size < len(text_files)
+        else text_files[i:]
+        for i in range(0, len(text_files), batch_size)
+    ]
+    questions_config = _to_group_list(
+        argument_value=questions_config,
+        argument_name="questions_config",
+        length=number_of_question_groups,
+    )
+
+    # Create a list of question handlers according to given configs
+    handlers = []
+    for cfg in questions_config:
+        question_type = cfg.pop("type", "default")
+        handlers.append(QUESTION_MAPPING.get(question_type)(**cfg))
+
+    # Go over the batches of text files and question them:
+    for file_batch in tqdm(
+        file_batches,
+        desc="Generating answers",
+        unit=f"file (batch of {batch_size})",
+        disable=not verbose,
+    ):
+        try:
+            total_answers = [[] for _ in range(batch_size)]
+
+            # Go over all question group per batch of documents
+            for question_group in range(number_of_question_groups):
+                current_questions_amount = len(questions[question_group])
+
+                # Read batch (read the text from the text files):
+                batched_input = _read_file_batch(
+                    file_batch=file_batch,
+                    prompt_template=prompt_template[question_group],
+                )
+
+                # Answer the questions with each question handler:
+                batched_answers = handlers[question_group].answer(
+                    questions_amount=current_questions_amount,
+                    batched_input=batched_input,
+                    generation_pipeline=generation_pipeline,
+                    generation_config=generation_config[question_group],
+                )
+
+                # Put the answers in the correct place in the total answers list according to the place in the batch:
+                for i in range(batch_size):
+                    total_answers[i].extend(batched_answers[i])
+
+            # Collect the answers and attach the file name:
+            successes.extend(
+                [
+                    [file.name, *answers]
+                    for file, answers in zip(file_batch, total_answers)
+                ]
+            )
+        except Exception as exception:
+            # Note the exception as error in the dictionary:
+            batch_file_names = ", ".join([file.name for file in file_batch])
+            if verbose:
+                _LOGGER.warning(
+                    f"Error in batch '{batch_file_names}': {str(exception)}"
+                )
+            errors[batch_file_names] = str(exception)
+            continue
+
+    # Construct the answers dataframe:
+    columns = [
+        "text_file",
+        *questions_columns,
+    ]
+
+    # Create a data frame of answers by files
+    successes = pd.DataFrame(
+        successes,
+        columns=columns,
+    )
+
+    # Print the head of the produced dataframe and return:
+    if verbose:
+        _LOGGER.info(
+            f"Done ({successes.shape[0]}/{len(text_files)})\n"
+            f"Answers summary:\n"
+            f"{successes.head()}"
+        )
+    return successes, errors
+
+
+def _get_text_files(
+    data_path: pathlib.Path,
+) -> List[pathlib.Path]:
+
+    # Check if the path is of a directory or a file:
+    if data_path.is_dir():
+
+        # Get all files inside the directory:
+        text_files = list(data_path.glob("*.*"))
+    elif data_path.is_file():
+        text_files = [data_path]
+    else:
+        raise ValueError(
+            f"Unrecognized data path. The parameter `data_path` must be either a directory path or a file path. "
+            f"Given: {str(data_path)} "
+        )
+
+    return text_files
+
+
+def _get_prompt_template(
+    text_wrapper: str,
+    questions_wrapper: str,
+    questions: List[str],
+) -> str:
+
+    # Validate and build the text wrapper:
+    text_wrapper = text_wrapper or (
+        "Given the following text:\n" "-----\n" "{}\n" "-----"
+    )
+    if text_wrapper.count("{}") != 1:
+        raise ValueError(
+            "The `text_wrapper` must include one placeholder '{}' for the text of the file to be asked about."
+        )
+
+    # Validate and build the question wrapper:
+    questions_wrapper = questions_wrapper or "Answer the questions:\n" "{}"
+    if questions_wrapper.count("{}") != 1:
+        raise ValueError(
+            "The `questions_wrapper` must include one placeholder '{}' for the list of questions."
+        )
+
+    # Validate and parse the questions:
+    if len(questions) == 0:
+        raise ValueError("Please include at least one question.")
+    questions = "\n".join(
+        [f"{i}. {question}" for i, question in enumerate(questions, 1)]
+    )
+
+    # Construct the template:
+    return f"{text_wrapper}\n{questions_wrapper.format(questions)}\n"
+
+
+def _get_generation_pipeline(
+    model_name: str,
+    device_map: Union[str, dict],
+    tokenizer_name: str,
+    model_kwargs: dict,
+    tokenizer_kwargs: dict,
+    auto_gptq_exllama_max_input_length: int = None,
+    batch_size: int = 1,
+):
+    # Load the model:
+    model = transformers.AutoModelForCausalLM.from_pretrained(
+        model_name, device_map=device_map, **model_kwargs
+    )
+
+    # Set exllama max input length if provided:
+    # This changes the model's context size.
+    if auto_gptq_exllama_max_input_length:
+        from auto_gptq import exllama_set_max_input_length
+
+        model = exllama_set_max_input_length(
+            model=model, max_input_length=auto_gptq_exllama_max_input_length
+        )
+
+    # Load the tokenizer:
+    tokenizer = transformers.AutoTokenizer.from_pretrained(
+        tokenizer_name, **tokenizer_kwargs
+    )
+
+    # Initialize a generation pipline and return:
+    pipe = transformers.pipeline(
+        task="text-generation",
+        model=model,
+        tokenizer=tokenizer,
+        batch_size=batch_size,
+    )
+    pipe.tokenizer.pad_token_id = model.config.eos_token_id
+    return pipe
+
+
+def _read_file_batch(
+    file_batch: List[pathlib.Path],
+    prompt_template: str,
+) -> List[str]:
+    batch = []
+
+    # Go over all files and read in usable format
+    for file in file_batch:
+        with open(file, "r", encoding="utf-8") as fp:
+            batch.append(prompt_template.format(fp.read()))
+    return batch
+
+
+def _to_group_list(argument_value: list, argument_name: str, length: int):
+
+    # Check if is list, turn to list if not
+    argument_value = (
+        argument_value if isinstance(argument_value, list) else [argument_value]
+    )
+    list_len = len(argument_value)
+
+    # If not a list, or is a list of len 1 we duplicate for correct length
+    # If list in wrong length throw an error
+    if list_len != length:
+        if list_len == 1:
+            return argument_value * length
+        raise ValueError(
+            f"The argument value of '{argument_name}' is not equal to the length of the given questions - {length}"
+        )
+    return argument_value
+
+
+class QuestionHandler:
+    """
+    A class for handling questions answering for a given question type.
+    This class is used as a base class for all question types, and for default question type (regular question
+    answering without any special handling).
+    """
+
+    class ConfigKeys:
+        pass
+
+    def __init__(self):
+        pass
+
+    @staticmethod
+    def _get_answers(generated_text: str, questions_amount: int) -> List[str]:
+
+        # Clear answer start (part before numbers):
+        # TODO find better way to verify, for list of questions this is redundant for example
+        if "1." not in generated_text:
+            raise ValueError(
+                f"Answer 1. is missing from the generated text: '{generated_text}'"
+            )
+        text = generated_text.split("1.", 1)[1]
+
+        # Start extracting the answers:
+        answers = []
+        for i in range(1, questions_amount + 1):
+            # If it's the last answer to look for, take the rest of the text:
+            if i == questions_amount:
+                answer_i = text
+            # Verify there is a question number in the text:
+            elif f"{i + 1}." not in text:
+                raise ValueError(
+                    f"Answer {i + 1}. is missing from the generated text: '{generated_text}'"
+                )
+            # Take i's answer:
+            else:
+                answer_i, text = text.split(f"{i + 1}.", 1)
+            # Collect the answer removing redundant spaces:
+            answers.append(answer_i.strip())
+
+        return answers
+
+    def _infer_questions(
+        self,
+        questions_amount: int,
+        batched_input: List[str],
+        generation_pipeline: transformers.Pipeline,
+        generation_config: transformers.GenerationConfig,
+    ) -> List[List[str]]:
+
+        # Infer through the llm:
+        batched_output = generation_pipeline(
+            batched_input,
+            generation_config=generation_config,
+            eos_token_id=generation_pipeline.tokenizer.eos_token_id,
+            return_full_text=False,
+            num_return_sequences=1,
+        )
+
+        # Process the outputs to get the answers:
+        batched_answers = []
+        for output in batched_output:
+            # Get the generated answers:
+            answers = self._get_answers(
+                generated_text=output[0]["generated_text"],
+                questions_amount=questions_amount,
+            )
+            # Collect the processed answers:
+            batched_answers.append(answers)
+        return batched_answers
+
+    def answer(
+        self,
+        questions_amount: int,
+        batched_input: List[str],
+        generation_pipeline: transformers.Pipeline,
+        generation_config: transformers.GenerationConfig,
+    ) -> List[List[str]]:
+        """
+        Answer questions with a context to the given text files contents by a pretrained LLM model in given pipeline.
+        """
+        return self._infer_questions(
+            questions_amount=questions_amount,
+            batched_input=batched_input,
+            generation_pipeline=generation_pipeline,
+            generation_config=generation_config,
+        )
+
+
+class PollQuestionHandler(QuestionHandler):
+    """
+    Static class to hold all the possible poll question configurations options keys
+    """
+
+    class ConfigKeys:
+        """
+        A class for handling questions answering for poll type questions.
+        These type of question are answered by asking the same question multiple times
+        and choosing the most common answer or the average answer.
+        """
+
+        #: The number of times to ask the same question.
+        POLL_COUNT = "poll_count"
+
+        #: The strategy to use for choosing the answer from the poll.
+        POLL_STRATEGY = "poll_strategy"
+
+    class Strategy(enum.Enum):
+        #: The most common answer strategy.
+        MOST_COMMON = "most_common"
+
+        #: The average answer strategy.
+        AVERAGE = "average"
+
+        @staticmethod
+        def most_common(answers):
+            """
+            Calculate the most common answer for a given list of answers.
+            """
+            count = Counter(answers)
+            most_common = count.most_common(1)
+            return most_common[0][0]
+
+        @staticmethod
+        def average(answers):
+            """
+            Calculate the average answer for a given list of answers.
+            """
+            if isinstance(answers[0], str):
+                raise ValueError(
+                    "Cannot perform poll with average answer strategy of non numeric values,"
+                    " please change the question to give numeric data, or choose 'most_common' as strategy."
+                )
+            else:
+                numeric_values = answers
+            avg = sum(numeric_values) / len(numeric_values)
+
+            # Round to the closest integer and return corresponding value
+            return round(avg)
+
+        def do(self, answers):
+            """
+            Perform the strategy.
+            """
+            return getattr(self, self.value)(answers)
+
+    def __init__(
+        self, poll_count: int = 5, poll_strategy: str = "most_common"):
+        super().__init__()
+        self.poll_count = poll_count
+        self.poll_strategy = self.Strategy(poll_strategy)
+
+    def answer(
+        self,
+        questions_amount: int,
+        batched_input: List[str],
+        generation_pipeline: transformers.Pipeline,
+        generation_config: transformers.GenerationConfig,
+    ) -> List[List[str]]:
+        """
+        Answer questions with a context to the given text files contents by a pretrained LLM model in given pipeline.
+        """
+        return self._answer_poll_questions(
+            questions_amount=questions_amount,
+            batched_input=batched_input,
+            generation_pipeline=generation_pipeline,
+            generation_config=generation_config,
+        )
+
+    def _answer_poll_questions(
+        self,
+        questions_amount: int,
+        batched_input: List[str],
+        generation_pipeline: transformers.Pipeline,
+        generation_config: transformers.GenerationConfig,
+    ) -> List[List[str]]:
+        votes = []
+
+        # Run the poll for each question
+        for _ in range(self.poll_count):
+            batched_answers = self._infer_questions(
+                questions_amount=questions_amount,
+                batched_input=batched_input,
+                generation_pipeline=generation_pipeline,
+                generation_config=generation_config,
+            )
+            votes.append(batched_answers)
+        answers = []
+
+        # Collect the answers according to the poll strategy
+        # Average strategy works for numeric values only
+        for batch in range(len(votes[0])):
+            batched_answers = []
+            for question in range(questions_amount):
+                # Create a list of all answers to relevant question
+                answer = [
+                    votes[voter][batch][question] for voter in range(self.poll_count)
+                ]
+                answer = self.poll_strategy.do(answer)
+                batched_answers.append(answer)
+            answers.append(batched_answers)
+        return answers
+
+
+# Holds names of QuestionHandles
+class QuestionTypes:
+    DEFAULT = "default"
+    POLL = "poll"
+
+
+# Maps question types to their handlers
+QUESTION_MAPPING = {
+    QuestionTypes.DEFAULT: QuestionHandler,
+    QuestionTypes.POLL: PollQuestionHandler,
+}
+
+        </code>
+    </pre>
+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/question_answering/latest/src/function.yaml b/functions/master/question_answering/latest/src/function.yaml
index a3361415..7491b17e 100644
--- a/functions/master/question_answering/latest/src/function.yaml
+++ b/functions/master/question_answering/latest/src/function.yaml
@@ -2,11 +2,13 @@ kind: job
 metadata:
   name: question-answering
   tag: ''
-  hash: 90e67d116b256a98da7d5819724e43df01d8b4eb
+  hash: aed62db95f17576c69b457767e3595c2de1d5465
   project: ''
   labels:
     author: yonish
   categories:
+  - genai
+  - huggingface
   - machine-learning
 spec:
   command: ''
diff --git a/functions/master/question_answering/latest/src/item.yaml b/functions/master/question_answering/latest/src/item.yaml
index 58ab5cc3..56fc5a5e 100755
--- a/functions/master/question_answering/latest/src/item.yaml
+++ b/functions/master/question_answering/latest/src/item.yaml
@@ -1,5 +1,7 @@
 apiVersion: v1
 categories:
+- genai
+- huggingface
 - machine-learning
 description: GenAI approach of question answering on a given data
 doc: ''
@@ -24,4 +26,4 @@ spec:
     - torch
     - tqdm
 url: ''
-version: 0.3.1
+version: 0.4.0
diff --git a/functions/master/question_answering/latest/static/function.html b/functions/master/question_answering/latest/static/function.html
index 0f9f7a27..dbaf6ff6 100644
--- a/functions/master/question_answering/latest/static/function.html
+++ b/functions/master/question_answering/latest/static/function.html
@@ -19,11 +19,13 @@
 metadata:
   name: question-answering
   tag: ''
-  hash: 90e67d116b256a98da7d5819724e43df01d8b4eb
+  hash: aed62db95f17576c69b457767e3595c2de1d5465
   project: ''
   labels:
     author: yonish
   categories:
+  - genai
+  - huggingface
   - machine-learning
 spec:
   command: ''
diff --git a/functions/master/question_answering/latest/static/item.html b/functions/master/question_answering/latest/static/item.html
index b7ae1749..d7a7898a 100644
--- a/functions/master/question_answering/latest/static/item.html
+++ b/functions/master/question_answering/latest/static/item.html
@@ -17,6 +17,8 @@
         <code class="yaml">
 apiVersion: v1
 categories:
+- genai
+- huggingface
 - machine-learning
 description: GenAI approach of question answering on a given data
 doc: ''
@@ -41,7 +43,7 @@
     - torch
     - tqdm
 url: ''
-version: 0.3.1
+version: 0.4.0
 
         </code>
     </pre>
diff --git a/functions/master/silero_vad/1.3.0/src/assets/test_data.wav b/functions/master/silero_vad/1.3.0/src/assets/test_data.wav
new file mode 100644
index 00000000..a3a993c2
Binary files /dev/null and b/functions/master/silero_vad/1.3.0/src/assets/test_data.wav differ
diff --git a/functions/master/silero_vad/1.3.0/src/function.yaml b/functions/master/silero_vad/1.3.0/src/function.yaml
new file mode 100644
index 00000000..8ec121a6
--- /dev/null
+++ b/functions/master/silero_vad/1.3.0/src/function.yaml
@@ -0,0 +1,291 @@
+kind: job
+metadata:
+  name: silero-vad
+  tag: ''
+  hash: 59336f808643a74f3a2c5d506977387010427208
+  project: ''
+  labels:
+    author: guyl
+  categories:
+  - deep-learning
+  - pytorch
+  - audio
+spec:
+  command: ''
+  args: []
+  image: ''
+  build:
+    functionSourceCode: # Copyright 2024 Iguazio
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import logging
from multiprocessing import Process, Queue
from pathlib import Path
from types import FunctionType
from typing import Dict, List, Tuple, Type, Union

import torch
import torchaudio
from tqdm import tqdm


class BaseTask:
    """
    A base class for a task to complete after VAD.
    """

    def __init__(self, audio_file: Path):
        """
        Initialize the base task.

        :param audio_file: The audio file assigned to the task.
        """
        # Store the audio file:
        self._audio_file = audio_file

        # Prepare the result:
        self._result = None

    @property
    def audio_file(self) -> Path:
        """
        Get the audio file of the task.

        :returns: The audio file of the task.
        """
        return self._audio_file

    def do_task(
        self, speech_timestamps: Union[List[Dict[str, int]], List[List[Dict[str, int]]]]
    ):
        """
        Do the task on the given speech timestamps. The base task will simply save the speech timestamps as the result.

        :param speech_timestamps: The speech timestamps to do the task on as outputted from the VAD.
        """
        self._result = speech_timestamps

    def get_result(self) -> Tuple[str, list]:
        """
        Get the result of the task. A tuple of the audio file name and the result.

        :returns: The result of the task.
        """
        return self._audio_file.name, self._result

    def to_tuple(self) -> Tuple[str, dict]:
        """
        Convert the task to a tuple to reconstruct it later (used for multiprocessing to pass in queue).

        :returns: The converted task.
        """
        return self.__class__.__name__, {"audio_file": self._audio_file}


class SpeechDiarizationTask(BaseTask):
    """
    A speech diarization task. The task will diarize the VAD speech timestamps into speakers.
    """

    def __init__(self, audio_file: Path, speaker_labels: List[str]):
        """
        Initialize the speech diarization task.

        :param audio_file:     The audio file assigned to the task.
        :param speaker_labels: The speaker labels to use for the diarization. If not given, the speakers will be named
                               "speaker_0", "speaker_1", etc.
        """
        super().__init__(audio_file=audio_file)
        self._speaker_labels = speaker_labels

    def do_task(self, speech_timestamps: List[List[Dict[str, int]]]):
        """
        Do the task on the given speech timestamps. The task will diarize the VAD speech timestamps into speakers.

        :param speech_timestamps: The speech timestamps per channel to do the task on as outputted from the VAD.
        """
        # Get the speaker labels (set default if not given):
        speaker_labels = self._speaker_labels or [
            f"speaker_{i}" for i in range(len(speech_timestamps))
        ]

        # Diarize - organize the speech timestamps into a single list of speakers and sort it by start time:
        speech_diarization = [
            (speech_timestamp["start"], speech_timestamp["end"], speaker_label)
            for speaker_label, channel_speech_timestamps in zip(
                speaker_labels, speech_timestamps
            )
            for speech_timestamp in channel_speech_timestamps
        ]
        speech_diarization.sort()
        self._result = speech_diarization

    def to_tuple(self) -> Tuple[str, dict]:
        """
        Convert the task to a tuple to reconstruct it later (used for multiprocessing to pass in queue).

        :returns: The converted task.
        """
        task_class, task_kwargs = super().to_tuple()
        return task_class, {**task_kwargs, "speaker_labels": self._speaker_labels}


class TaskCreator:
    """
    A task creator to create different tasks to run after the VAD.
    """

    #: A map from task class name to task class to use in `from_tuple`:
    _MAP = {
        BaseTask.__name__: BaseTask,
        SpeechDiarizationTask.__name__: SpeechDiarizationTask,
    }

    def __init__(self, task_type: Type[BaseTask], task_kwargs: dict = None):
        """
        Initialize the task creator.
        :param task_type: The task type - a `BaseTask` subclass.
        :param task_kwargs: Additional keyword arguments to pass to the to be created tasks.
        """
        self._task_type = task_type
        self._task_kwargs = task_kwargs or {}

    def create_task(self, audio_file: Path) -> BaseTask:
        """
        Create a task with the given audio file.

        :param audio_file: The audio file to assign to the task.

        :returns: The created task.
        """
        return self._task_type(audio_file=audio_file, **self._task_kwargs)

    @classmethod
    def from_tuple(cls, task_tuple: Tuple[str, dict]) -> BaseTask:
        """
        Create a task from a tuple of the audio file name and the task kwargs.

        :param task_tuple: The task tuple to create the task from.

        :returns: The created task.
        """
        task_class, task_kwargs = task_tuple
        return cls._MAP[task_class](**task_kwargs)


class VoiceActivityDetector:
    """
    A voice activity detection wrapper for the silero VAD model - https://github.com/snakers4/silero-vad.
    """

    def __init__(
        self,
        # Model loading kwargs:
        use_onnx: bool = True,
        force_onnx_cpu: bool = True,
        # Detection kwargs:
        threshold: float = 0.5,
        sampling_rate: int = 16_000,
        min_speech_duration_ms: int = 250,
        max_speech_duration_s: float = float("inf"),
        min_silence_duration_ms: int = 100,
        window_size_samples: int = 512,
        speech_pad_ms: int = 30,
        return_seconds: bool = False,
        per_channel: bool = False,
    ):
        """
        Initialize the voice activity detector.

        :param use_onnx:                Whether to use ONNX for inference. Default is True.
        :param force_onnx_cpu:          Whether to force ONNX to use CPU for inference. Default is True.
        :param threshold:               Speech threshold. Silero VAD outputs speech probabilities for each audio chunk,
                                        probabilities ABOVE this value are considered as SPEECH. It is better to tune
                                        this parameter for each dataset separately, but "lazy" 0.5 is pretty good for
                                        most datasets.
        :param sampling_rate:           Currently, silero VAD models support 8000 and 16000 sample rates.
        :param min_speech_duration_ms:  Final speech chunks shorter min_speech_duration_ms are thrown out.
        :param max_speech_duration_s:   Maximum duration of speech chunks in seconds. Chunks longer than
                                        `max_speech_duration_s` will be split at the timestamp of the last silence that
                                        lasts more than 100ms (if any), to prevent aggressive cutting. Otherwise,
                                        they will be split aggressively just before max_speech_duration_s.
        :param min_silence_duration_ms: In the end of each speech chunk wait for min_silence_duration_ms before
                                        separating it.
        :param window_size_samples:     Audio chunks of window_size_samples size are fed to the silero VAD model.
                                        WARNING! Silero VAD models were trained using 512, 1024, 1536 samples for 16000
                                        sample rate and 256, 512, 768 samples for 8000 sample rate. Values other than
                                        these may affect model performance!
        :param speech_pad_ms:           Final speech chunks are padded by speech_pad_ms each side.
        :param return_seconds:          Whether return timestamps in seconds. False means to return timestamps in
                                        samples (default - False).
        :param per_channel:             Whether to return timestamps per channel (default - False). This will run VAD
                                        on each channel separately and return a list of timestamps per channel.
        """
        # Store configurations:
        self._use_onnx = use_onnx
        self._force_onnx_cpu = force_onnx_cpu
        self._threshold = threshold
        self._sampling_rate = sampling_rate
        self._min_speech_duration_ms = min_speech_duration_ms
        self._max_speech_duration_s = max_speech_duration_s
        self._min_silence_duration_ms = min_silence_duration_ms
        self._window_size_samples = window_size_samples
        self._speech_pad_ms = speech_pad_ms
        self._return_seconds = return_seconds
        self._per_channel = per_channel

        # Prepare the model variables
        self._model: torch.Module = None
        self._get_speech_timestamps: FunctionType = None

    def load(self, force_reload: bool = True):
        """
        Load the VAD model.

        :param force_reload: Whether to force reload the model even if it was already loaded. Default is True.
        """
        model, utils = torch.hub.load(
            repo_or_dir="snakers4/silero-vad",
            model="silero_vad",
            force_reload=force_reload,
            onnx=self._use_onnx,
            force_onnx_cpu=self._force_onnx_cpu,
        )
        self._model = model
        (
            self._get_speech_timestamps,
            _,  # save_audio,
            _,  # read_audio,
            _,  # VADIterator,
            _,  # collect_chunks
        ) = utils

    def detect_voice(
        self,
        audio_file: Path,
    ) -> Union[List[Dict[str, int]], List[List[Dict[str, int]]]]:
        """
        Infer the audio through the VAD model and return the speech timestamps.

        :param audio_file: The audio file to infer.

        :returns: The speech timestamps in the audio. A list of timestamps where each timestamp is a dictionary with the
                 following keys:

                 * "start": The start sample index of the speech in the audio.
                 * "end":   The end sample index of the speech in the audio.

                 If `per_channel` is True, a list of timestamps per channel will be returned.
        """
        # Cast to a numpy array:
        audio = self._read_audio(audio_file)

        # Detect speech:
        if not self._per_channel:
            return self._get_speech_timestamps(
                audio,
                self._model,
                threshold=self._threshold,
                min_speech_duration_ms=self._min_speech_duration_ms,
                max_speech_duration_s=self._max_speech_duration_s,
                min_silence_duration_ms=self._min_silence_duration_ms,
                speech_pad_ms=self._speech_pad_ms,
                sampling_rate=self._sampling_rate,
                window_size_samples=self._window_size_samples,
                return_seconds=self._return_seconds,
            )

        # Per channel:
        speech_timestamps = []
        for channel in audio:
            speech_timestamps.append(
                self._get_speech_timestamps(
                    channel,
                    self._model,
                    threshold=self._threshold,
                    min_speech_duration_ms=self._min_speech_duration_ms,
                    max_speech_duration_s=self._max_speech_duration_s,
                    min_silence_duration_ms=self._min_silence_duration_ms,
                    speech_pad_ms=self._speech_pad_ms,
                    sampling_rate=self._sampling_rate,
                    window_size_samples=self._window_size_samples,
                    return_seconds=self._return_seconds,
                )
            )

        return speech_timestamps

    def _read_audio(
        self,
        path: Path,
    ) -> torch.Tensor:
        """
        Read the audio from the given path and return it as a tensor.

        :param path: The path to the audio file.

        :returns: The audio as a tensor.
        """
        # Read the audio:
        audio, sampling_rate = torchaudio.load(str(path))

        # Check if the audio is stereo and if so, convert it to mono (only if not per channel):
        if audio.size(0) > 1 and not self._per_channel:
            audio = audio.mean(dim=0, keepdim=True)

        # Resample the audio if needed:
        if sampling_rate != self._sampling_rate:
            transform = torchaudio.transforms.Resample(
                orig_freq=sampling_rate, new_freq=self._sampling_rate
            )
            audio = transform(audio)

        # Return the audio (squeeze if not per channel):
        return audio if self._per_channel else audio.squeeze(0)


#: The value to send into multiprocessing queues to stop the process:
_MULTIPROCESSING_STOP_MARK = "STOP"


def _multiprocessing_complete_tasks(
    vad_init_kwargs: dict, tasks_queue: Queue, results_queue: Queue
):
    """
    Complete the tasks in the given queue and put the results in the given results queue. The function will stop when
    the given tasks queue will receive the stop mark. It is aimed to be used with multiprocessing as a process.

    :param vad_init_kwargs: The VAD initialization kwargs.
    :param tasks_queue:     A queue to get the tasks from.
    :param results_queue:   A queue to put the results in.
    """
    # Initialize and load the VAD:
    vad = VoiceActivityDetector(**vad_init_kwargs)
    vad.load(force_reload=False)

    # Start listening to the tasks queue:
    while True:
        # Get the task:
        task: Tuple[str, dict] = tasks_queue.get()
        if task == _MULTIPROCESSING_STOP_MARK:
            break
        try:
            # Create the task:
            task = TaskCreator.from_tuple(task_tuple=task)
            # Run the file through the VAD:
            speech_timestamps = vad.detect_voice(audio_file=task.audio_file)
            # Complete the task:
            task.do_task(speech_timestamps=speech_timestamps)
            # Build the result:
            result = (False, task.get_result())
        except Exception as exception:
            # Build the error:
            result = (True, (task.audio_file.name, str(exception)))
        # Collect the result / error:
        results_queue.put(result)

    # Mark the end of the tasks:
    results_queue.put(_MULTIPROCESSING_STOP_MARK)


# Get the global logger:
try:
    import mlrun

    _LOGGER = mlrun.get_or_create_ctx("silero_vad").logger
except ModuleNotFoundError:
    _LOGGER = logging.getLogger()


def detect_voice(
    # Input kwargs:
    data_path: Union[str, Path, List[Union[str, Path]]],
    # Model loading kwargs:
    use_onnx: bool = True,
    force_onnx_cpu: bool = True,
    # Detection kwargs:
    threshold: float = 0.5,
    sampling_rate: int = 16_000,
    min_speech_duration_ms: int = 250,
    max_speech_duration_s: float = float("inf"),
    min_silence_duration_ms: int = 100,
    window_size_samples: int = 512,
    speech_pad_ms: int = 30,
    return_seconds: bool = False,
    per_channel: bool = False,
    # Other kwargs:
    use_multiprocessing: int = 0,
    verbose: bool = False,
):
    """
    Perform voice activity detection on given audio files using the silero VAD model -
    https://github.com/snakers4/silero-vad. The end result is a dictionary with the file names as keys and their
    VAD timestamps dictionaries as value.

    For example::

        {
            "file_1.wav": [
                {"start": 0, "end": 16000},
                {"start": 16000, "end": 32000},
                {"start": 32000, "end": 48000},
                ...
            ],
            "file_2.wav": [
                {"start": 0, "end": 16000},
                {"start": 16000, "end": 32000},
                {"start": 32000, "end": 48000},
                ...
            ],
            ...
        }


    :param data_path:               The path to the audio files to diarize. Can be a path to a single file, a path to a
                                    directory or a list of paths to files.
    :param use_onnx:                Whether to use ONNX for inference. Default is True.
    :param force_onnx_cpu:          Whether to force ONNX to use CPU for inference. Default is True.
    :param threshold:               Speech threshold. Silero VAD outputs speech probabilities for each audio chunk,
                                    probabilities ABOVE this value are considered as SPEECH. It is better to tune
                                    this parameter for each dataset separately, but "lazy" 0.5 is pretty good for
                                    most datasets.
    :param sampling_rate:           Currently, silero VAD models support 8000 and 16000 sample rates.
    :param min_speech_duration_ms:  Final speech chunks shorter min_speech_duration_ms are thrown out.
    :param max_speech_duration_s:   Maximum duration of speech chunks in seconds. Chunks longer than
                                    `max_speech_duration_s` will be split at the timestamp of the last silence that
                                    lasts more than 100ms (if any), to prevent aggressive cutting. Otherwise, they will
                                    be split aggressively just before max_speech_duration_s.
    :param min_silence_duration_ms: In the end of each speech chunk wait for min_silence_duration_ms before separating
                                    it.
    :param window_size_samples:     Audio chunks of window_size_samples size are fed to the silero VAD model.

                                    WARNING! Silero VAD models were trained using 512, 1024, 1536 samples for 16000
                                    sample rate and 256, 512, 768 samples for 8000 sample rate. Values other than
                                    these may affect model performance!
    :param speech_pad_ms:           Final speech chunks are padded by speech_pad_ms each side.
    :param return_seconds:          Whether return timestamps in seconds. False means to return timestamps in samples
                                    (default - False).
    :param per_channel:             Whether to return timestamps per channel (default - False). This will run VAD on
                                    each channel separately and return a list of timestamps per channel.
    :param use_multiprocessing:     The number of workers to use for multiprocessing. If 0, no multiprocessing will
                                    be used. Default is 0.
    :param verbose:                 Verbosity.
    """
    global _LOGGER

    # Get the input audio files to transcribe:
    if verbose:
        _LOGGER.info("Collecting audio files.")
    audio_files = _get_audio_files(data_path=data_path)
    if verbose:
        _LOGGER.info(f"Collected {len(audio_files)} audio files.")

    # Initialize the transcription pipeline:
    vad_init_kwargs = {
        "use_onnx": use_onnx,
        "force_onnx_cpu": force_onnx_cpu,
        "threshold": threshold,
        "sampling_rate": sampling_rate,
        "min_speech_duration_ms": min_speech_duration_ms,
        "max_speech_duration_s": max_speech_duration_s,
        "min_silence_duration_ms": min_silence_duration_ms,
        "window_size_samples": window_size_samples,
        "speech_pad_ms": speech_pad_ms,
        "return_seconds": return_seconds,
        "per_channel": per_channel,
    }

    # Create the task creator:
    task_creator = TaskCreator(task_type=BaseTask)

    # Run the transcription:
    if use_multiprocessing:
        results = _parallel_run(
            n_workers=use_multiprocessing,
            audio_files=audio_files,
            description="Detecting voice",
            vad_init_kwargs=vad_init_kwargs,
            task_creator=task_creator,
            verbose=verbose,
        )
    else:
        results = _run(
            audio_files=audio_files,
            description="Detecting voice",
            vad_init_kwargs=vad_init_kwargs,
            task_creator=task_creator,
            verbose=verbose,
        )

    # Process the results:
    return _process_results(results=results, verbose=verbose)


def diarize(
    # Input / Output kwargs:
    data_path: Union[str, Path, List[Union[str, Path]]],
    # Model loading kwargs:
    use_onnx: bool = True,
    force_onnx_cpu: bool = True,
    # Detection kwargs:
    threshold: float = 0.5,
    sampling_rate: int = 16_000,
    min_speech_duration_ms: int = 250,
    max_speech_duration_s: float = float("inf"),
    min_silence_duration_ms: int = 100,
    window_size_samples: int = 512,
    speech_pad_ms: int = 30,
    # Diarization kwargs:
    speaker_labels: List[str] = None,
    # Other kwargs:
    use_multiprocessing: int = 0,
    verbose: bool = False,
):
    """
    Perform speech diarization on given audio files using the silero VAD model - https://github.com/snakers4/silero-vad.
    The speech diarization is performed per channel so that each channel in the audio belong to a different speaker. The
    end result is a dictionary with the file names as keys and their diarization as value. A diarization is a list
    of tuples: (start, end, speaker_label).

    For example::

        {
            "file_1.wav": [
                (0.0, 1.0, "speaker_0"),
                (1.0, 2.0, "speaker_1"),
                (2.0, 3.0, "speaker_0"),
                ...
            ],
            "file_2.wav": [
                (0.0, 1.0, "speaker_0"),
                (1.0, 2.0, "speaker_1"),
                (2.0, 3.0, "speaker_0"),
                ...
            ],
            ...
        }


    :param data_path:               The path to the audio files to diarize. Can be a path to a single file, a path to a
                                    directory or a list of paths to files.
    :param use_onnx:                Whether to use ONNX for inference. Default is True.
    :param force_onnx_cpu:          Whether to force ONNX to use CPU for inference. Default is True.
    :param threshold:               Speech threshold. Silero VAD outputs speech probabilities for each audio chunk,
                                    probabilities ABOVE this value are considered as SPEECH. It is better to tune
                                    this parameter for each dataset separately, but "lazy" 0.5 is pretty good for
                                    most datasets.
    :param sampling_rate:           Currently, silero VAD models support 8000 and 16000 sample rates.
    :param min_speech_duration_ms:  Final speech chunks shorter min_speech_duration_ms are thrown out.
    :param max_speech_duration_s:   Maximum duration of speech chunks in seconds. Chunks longer than
                                    `max_speech_duration_s` will be split at the timestamp of the last silence that
                                    lasts more than 100ms (if any), to prevent aggressive cutting. Otherwise, they will
                                    be split aggressively just before max_speech_duration_s.
    :param min_silence_duration_ms: In the end of each speech chunk wait for min_silence_duration_ms before separating
                                    it.
    :param window_size_samples:     Audio chunks of window_size_samples size are fed to the silero VAD model.

                                    WARNING! Silero VAD models were trained using 512, 1024, 1536 samples for 16000
                                    sample rate and 256, 512, 768 samples for 8000 sample rate. Values other than
                                    these may affect model performance!
    :param speech_pad_ms:           Final speech chunks are padded by speech_pad_ms each side.
    :param speaker_labels:          The speaker labels to use for the diarization. If not given, the speakers will be
                                    named "speaker_0", "speaker_1", etc.
    :param use_multiprocessing:     The number of workers to use for multiprocessing. If 0, no multiprocessing will
                                    be used. Default is 0.
    :param verbose:                 Verbosity.
    """
    global _LOGGER

    # Get the input audio files to transcribe:
    if verbose:
        _LOGGER.info("Collecting audio files.")
    audio_files = _get_audio_files(data_path=data_path)
    if verbose:
        _LOGGER.info(f"Collected {len(audio_files)} audio files.")

    # Initialize the transcription pipeline:
    vad_init_kwargs = {
        "use_onnx": use_onnx,
        "force_onnx_cpu": force_onnx_cpu,
        "threshold": threshold,
        "sampling_rate": sampling_rate,
        "min_speech_duration_ms": min_speech_duration_ms,
        "max_speech_duration_s": max_speech_duration_s,
        "min_silence_duration_ms": min_silence_duration_ms,
        "window_size_samples": window_size_samples,
        "speech_pad_ms": speech_pad_ms,
        "return_seconds": True,
        "per_channel": True,
    }

    # Create the task creator:
    task_creator = TaskCreator(
        task_type=SpeechDiarizationTask, task_kwargs={"speaker_labels": speaker_labels}
    )

    # Run the transcription:
    if use_multiprocessing:
        results = _parallel_run(
            n_workers=use_multiprocessing,
            audio_files=audio_files,
            description="Diarizing",
            vad_init_kwargs=vad_init_kwargs,
            task_creator=task_creator,
            verbose=verbose,
        )
    else:
        results = _run(
            audio_files=audio_files,
            description="Diarizing",
            vad_init_kwargs=vad_init_kwargs,
            task_creator=task_creator,
            verbose=verbose,
        )

    # Process the results:
    return _process_results(results=results, verbose=verbose)


def _get_audio_files(
    data_path: Union[Path, str, list],
) -> List[Path]:
    """
    Get the audio files from the data path. If a path to a directory is given, all files in the directory will be
    collected.

    :param data_path: The data path to collect the audio files from.

    :returns: The audio files list.
    """
    # Check if given a list of paths:
    if isinstance(data_path, list):
        audio_files = []
        for path in data_path:
            audio_files.extend(_get_audio_files(data_path=path))
        return audio_files

    # Check if given a single string path to cast it to a `pathlib.Path`:
    if isinstance(data_path, str):
        data_path = Path(data_path).absolute()

    # Check if the path is of a directory or a file:
    if data_path.is_dir():
        # Get all files inside the directory:
        audio_files = list(data_path.glob("*.*"))
    elif data_path.is_file():
        audio_files = [data_path]
    else:
        raise ValueError(
            f"Unrecognized data path. The parameter `data_path` must be a valid path to either a directory path or a "
            f"file. Given: {str(data_path)} "
        )

    return audio_files


def _run(
    audio_files: List[Path],
    description: str,
    vad_init_kwargs: dict,
    task_creator: TaskCreator,
    verbose: bool,
) -> List[Tuple[bool, Tuple[str, list]]]:
    """
    Load a VAD and use it to complete the tasks that will be created on the provided files using the given task creator.

    :param audio_files:     The audio files to use.
    :param description:     The description to use for the progress bar.
    :param vad_init_kwargs: The VAD initialization keyword arguments.
    :param task_creator:    The task creator to use to create the tasks.
    :param verbose:         Verbosity.

    :returns: The collected results.
    """
    # Load the VAD:
    vad = VoiceActivityDetector(**vad_init_kwargs)
    if verbose:
        _LOGGER.info(f"Loading the VAD model.")
    vad.load()
    if verbose:
        _LOGGER.info("VAD model loaded.")

    # Run the VAD on the audio files and collect the results:
    results = []
    for audio_file in tqdm(
        audio_files,
        desc=description,
        unit="file",
        total=len(audio_files),
        disable=not verbose,
    ):
        try:
            # Create the task:
            task = task_creator.create_task(audio_file=audio_file)
            # Run the file through the VAD:
            speech_timestamps = vad.detect_voice(audio_file=audio_file)
            # Complete the task:
            task.do_task(speech_timestamps=speech_timestamps)
            # Collect the result:
            results.append((False, task.get_result()))
        except Exception as exception:
            # Collect the error:
            results.append((True, (audio_file.name, str(exception))))

    return results


def _parallel_run(
    n_workers: int,
    audio_files: List[Path],
    description: str,
    vad_init_kwargs: dict,
    task_creator: TaskCreator,
    verbose: bool,
) -> List[Tuple[bool, Tuple[str, list]]]:
    """
    Run multiple VAD workers with multiprocessing to complete the tasks that will be created on the provided files using
    the given task creator.

    :param n_workers:       The number of workers to use.
    :param audio_files:     The audio files to use.
    :param description:     The description to use for the progress bar.
    :param vad_init_kwargs: The VAD initialization keyword arguments.
    :param task_creator:    The task creator to use to create the tasks.
    :param verbose:         Verbosity.

    :returns: The collected results.
    """
    # Load the VAD (download once, and it will be loaded then per process later on):
    if verbose:
        _LOGGER.info(f"Loading the VAD model.")
    vad = VoiceActivityDetector(**vad_init_kwargs)
    vad.load()
    if verbose:
        _LOGGER.info("VAD model loaded.")

    # Check the number of workers:
    if n_workers > len(audio_files):
        _LOGGER.warning(
            f"The number of workers ({n_workers}) is larger than the number of audio files ({len(audio_files)}). "
            f"Setting the number of workers to {len(audio_files)}."
        )
        n_workers = len(audio_files)

    # Initialize the multiprocessing queues:
    tasks_queue = Queue()
    results_queue = Queue()

    # Initialize the multiprocessing processes:
    task_completion_processes = [
        Process(
            target=_multiprocessing_complete_tasks,
            kwargs={
                "vad_init_kwargs": vad_init_kwargs,
                "tasks_queue": tasks_queue,
                "results_queue": results_queue,
            },
        )
        for _ in range(n_workers)
    ]

    # Start the multiprocessing processes:
    for p in task_completion_processes:
        p.start()

    # Put the tasks in the queue:
    for audio_file in audio_files:
        tasks_queue.put(task_creator.create_task(audio_file=audio_file).to_tuple())

    # Put the stop marks in the queue:
    for _ in range(n_workers):
        tasks_queue.put(_MULTIPROCESSING_STOP_MARK)

    # Collect the results:
    results = []
    stop_marks_counter = 0
    with tqdm(
        desc=description,
        unit="file",
        total=len(audio_files),
        disable=not verbose,
    ) as progressbar:
        while True:
            # Get a result from the queue:
            result: Tuple[bool, Tuple[str, list]] = results_queue.get()
            if result == _MULTIPROCESSING_STOP_MARK:
                stop_marks_counter += 1
                if stop_marks_counter == n_workers:
                    break
            else:
                # Collect the result:
                results.append(result)
                progressbar.update(1)

    # Wait for the processes to finish:
    for p in task_completion_processes:
        p.join()

    return results


def _process_results(
    results: List[Tuple[bool, Tuple[str, list]]], verbose: bool
) -> Tuple[dict, dict]:
    """
    Process the results of the tasks.

    :param results: The results to process.
    :param verbose: Verbosity.

    :returns: The processed results as a tuple of successes and errors.
    """
    if verbose:
        _LOGGER.info("Summarizing the results.")
    successes = {}
    errors = {}
    for is_error, result in results:
        if is_error:
            errors[result[0]] = result[1]
        else:
            successes[result[0]] = result[1]
    if verbose:
        _LOGGER.info(f"Done ({len(successes)}/{len(successes) + len(errors)})\n")

    return successes, errors

+    base_image: mlrun/mlrun
+    commands: []
+    code_origin: ''
+    origin_filename: ''
+    requirements:
+    - torch
+    - torchaudio
+    - tqdm
+    - onnxruntime
+  entry_points:
+    audio_file:
+      name: audio_file
+      doc: Get the audio file of the task.
+      parameters:
+      - name: self
+      outputs:
+      - doc: The audio file of the task.
+        type: Path
+      lineno: 43
+      has_varargs: false
+      has_kwargs: false
+    do_task:
+      name: do_task
+      doc: Do the task on the given speech timestamps. The task will diarize the VAD
+        speech timestamps into speakers.
+      parameters:
+      - name: self
+      - name: speech_timestamps
+        type: List[List[Dict[str, int]]]
+        doc: The speech timestamps per channel to do the task on as outputted from
+          the VAD.
+      outputs: []
+      lineno: 94
+      has_varargs: false
+      has_kwargs: false
+    get_result:
+      name: get_result
+      doc: Get the result of the task. A tuple of the audio file name and the result.
+      parameters:
+      - name: self
+      outputs:
+      - doc: The result of the task.
+        type: Tuple[str, list]
+      lineno: 61
+      has_varargs: false
+      has_kwargs: false
+    to_tuple:
+      name: to_tuple
+      doc: Convert the task to a tuple to reconstruct it later (used for multiprocessing
+        to pass in queue).
+      parameters:
+      - name: self
+      outputs:
+      - doc: The converted task.
+        type: Tuple[str, dict]
+      lineno: 116
+      has_varargs: false
+      has_kwargs: false
+    create_task:
+      name: create_task
+      doc: Create a task with the given audio file.
+      parameters:
+      - name: self
+      - name: audio_file
+        type: Path
+        doc: The audio file to assign to the task.
+      outputs:
+      - doc: The created task.
+        type: BaseTask
+      lineno: 146
+      has_varargs: false
+      has_kwargs: false
+    from_tuple:
+      name: from_tuple
+      doc: Create a task from a tuple of the audio file name and the task kwargs.
+      parameters:
+      - name: cls
+      - name: task_tuple
+        type: Tuple[str, dict]
+        doc: The task tuple to create the task from.
+      outputs:
+      - doc: The created task.
+        type: BaseTask
+      lineno: 157
+      has_varargs: false
+      has_kwargs: false
+    load:
+      name: load
+      doc: Load the VAD model.
+      parameters:
+      - name: self
+      - name: force_reload
+        type: bool
+        doc: Whether to force reload the model even if it was already loaded. Default
+          is True.
+        default: true
+      outputs: []
+      lineno: 234
+      has_varargs: false
+      has_kwargs: false
+    detect_voice:
+      name: detect_voice
+      doc: "Perform voice activity detection on given audio files using the silero\
+        \ VAD model -\nhttps://github.com/snakers4/silero-vad. The end result is a\
+        \ dictionary with the file names as keys and their\nVAD timestamps dictionaries\
+        \ as value.\n\nFor example::\n\n    {\n        \"file_1.wav\": [\n       \
+        \     {\"start\": 0, \"end\": 16000},\n            {\"start\": 16000, \"end\"\
+        : 32000},\n            {\"start\": 32000, \"end\": 48000},\n            ...\n\
+        \        ],\n        \"file_2.wav\": [\n            {\"start\": 0, \"end\"\
+        : 16000},\n            {\"start\": 16000, \"end\": 32000},\n            {\"\
+        start\": 32000, \"end\": 48000},\n            ...\n        ],\n        ...\n\
+        \    }"
+      parameters:
+      - name: data_path
+        type: Union[str, Path, List[Union[str, Path]]]
+        doc: The path to the audio files to diarize. Can be a path to a single file,
+          a path to a directory or a list of paths to files.
+      - name: use_onnx
+        type: bool
+        doc: Whether to use ONNX for inference. Default is True.
+        default: true
+      - name: force_onnx_cpu
+        type: bool
+        doc: Whether to force ONNX to use CPU for inference. Default is True.
+        default: true
+      - name: threshold
+        type: float
+        doc: Speech threshold. Silero VAD outputs speech probabilities for each audio
+          chunk, probabilities ABOVE this value are considered as SPEECH. It is better
+          to tune this parameter for each dataset separately, but "lazy" 0.5 is pretty
+          good for most datasets.
+        default: 0.5
+      - name: sampling_rate
+        type: int
+        doc: Currently, silero VAD models support 8000 and 16000 sample rates.
+        default: 16000
+      - name: min_speech_duration_ms
+        type: int
+        doc: Final speech chunks shorter min_speech_duration_ms are thrown out.
+        default: 250
+      - name: max_speech_duration_s
+        type: float
+        doc: Maximum duration of speech chunks in seconds. Chunks longer than `max_speech_duration_s`
+          will be split at the timestamp of the last silence that lasts more than
+          100ms (if any), to prevent aggressive cutting. Otherwise, they will be split
+          aggressively just before max_speech_duration_s.
+        default: float('inf')
+      - name: min_silence_duration_ms
+        type: int
+        doc: In the end of each speech chunk wait for min_silence_duration_ms before
+          separating it.
+        default: 100
+      - name: window_size_samples
+        type: int
+        doc: Audio chunks of window_size_samples size are fed to the silero VAD model.
+        default: 512
+      - name: speech_pad_ms
+        type: int
+        doc: Final speech chunks are padded by speech_pad_ms each side.
+        default: 30
+      - name: return_seconds
+        type: bool
+        doc: Whether return timestamps in seconds. False means to return timestamps
+          in samples (default - False).
+        default: false
+      - name: per_channel
+        type: bool
+        doc: Whether to return timestamps per channel (default - False). This will
+          run VAD on each channel separately and return a list of timestamps per channel.
+        default: false
+      - name: use_multiprocessing
+        type: int
+        doc: The number of workers to use for multiprocessing. If 0, no multiprocessing
+          will be used. Default is 0.
+        default: 0
+      - name: verbose
+        type: bool
+        doc: Verbosity.
+        default: false
+      outputs: []
+      lineno: 393
+      has_varargs: false
+      has_kwargs: false
+    diarize:
+      name: diarize
+      doc: "Perform speech diarization on given audio files using the silero VAD model\
+        \ - https://github.com/snakers4/silero-vad.\nThe speech diarization is performed\
+        \ per channel so that each channel in the audio belong to a different speaker.\
+        \ The\nend result is a dictionary with the file names as keys and their diarization\
+        \ as value. A diarization is a list\nof tuples: (start, end, speaker_label).\n\
+        \nFor example::\n\n    {\n        \"file_1.wav\": [\n            (0.0, 1.0,\
+        \ \"speaker_0\"),\n            (1.0, 2.0, \"speaker_1\"),\n            (2.0,\
+        \ 3.0, \"speaker_0\"),\n            ...\n        ],\n        \"file_2.wav\"\
+        : [\n            (0.0, 1.0, \"speaker_0\"),\n            (1.0, 2.0, \"speaker_1\"\
+        ),\n            (2.0, 3.0, \"speaker_0\"),\n            ...\n        ],\n\
+        \        ...\n    }"
+      parameters:
+      - name: data_path
+        type: Union[str, Path, List[Union[str, Path]]]
+        doc: The path to the audio files to diarize. Can be a path to a single file,
+          a path to a directory or a list of paths to files.
+      - name: use_onnx
+        type: bool
+        doc: Whether to use ONNX for inference. Default is True.
+        default: true
+      - name: force_onnx_cpu
+        type: bool
+        doc: Whether to force ONNX to use CPU for inference. Default is True.
+        default: true
+      - name: threshold
+        type: float
+        doc: Speech threshold. Silero VAD outputs speech probabilities for each audio
+          chunk, probabilities ABOVE this value are considered as SPEECH. It is better
+          to tune this parameter for each dataset separately, but "lazy" 0.5 is pretty
+          good for most datasets.
+        default: 0.5
+      - name: sampling_rate
+        type: int
+        doc: Currently, silero VAD models support 8000 and 16000 sample rates.
+        default: 16000
+      - name: min_speech_duration_ms
+        type: int
+        doc: Final speech chunks shorter min_speech_duration_ms are thrown out.
+        default: 250
+      - name: max_speech_duration_s
+        type: float
+        doc: Maximum duration of speech chunks in seconds. Chunks longer than `max_speech_duration_s`
+          will be split at the timestamp of the last silence that lasts more than
+          100ms (if any), to prevent aggressive cutting. Otherwise, they will be split
+          aggressively just before max_speech_duration_s.
+        default: float('inf')
+      - name: min_silence_duration_ms
+        type: int
+        doc: In the end of each speech chunk wait for min_silence_duration_ms before
+          separating it.
+        default: 100
+      - name: window_size_samples
+        type: int
+        doc: Audio chunks of window_size_samples size are fed to the silero VAD model.
+        default: 512
+      - name: speech_pad_ms
+        type: int
+        doc: Final speech chunks are padded by speech_pad_ms each side.
+        default: 30
+      - name: speaker_labels
+        type: List[str]
+        doc: The speaker labels to use for the diarization. If not given, the speakers
+          will be named "speaker_0", "speaker_1", etc.
+        default: null
+      - name: use_multiprocessing
+        type: int
+        doc: The number of workers to use for multiprocessing. If 0, no multiprocessing
+          will be used. Default is 0.
+        default: 0
+      - name: verbose
+        type: bool
+        doc: Verbosity.
+        default: false
+      outputs: []
+      lineno: 517
+      has_varargs: false
+      has_kwargs: false
+  description: Silero VAD (Voice Activity Detection) functions.
+  default_handler: detect_voice
+  disable_auto_mount: false
+  clone_target_dir: ''
+  env: []
+  priority_class_name: ''
+  preemption_mode: prevent
+  affinity: null
+  tolerations: null
+  security_context: {}
+verbose: false
diff --git a/functions/master/silero_vad/1.3.0/src/item.yaml b/functions/master/silero_vad/1.3.0/src/item.yaml
new file mode 100644
index 00000000..9ce9a5d2
--- /dev/null
+++ b/functions/master/silero_vad/1.3.0/src/item.yaml
@@ -0,0 +1,30 @@
+apiVersion: v1
+categories:
+- deep-learning
+- pytorch
+- audio
+description: Silero VAD (Voice Activity Detection) functions.
+doc: ''
+example: silero_vad.ipynb
+generationDate: 2023-12-03:14-30
+hidden: false
+icon: ''
+labels:
+  author: guyl
+maintainers: []
+marketplaceType: ''
+mlrunVersion: 1.5.2
+name: silero_vad
+platformVersion: 3.5.3
+spec:
+  filename: silero_vad.py
+  handler: detect_voice
+  image: mlrun/mlrun
+  kind: job
+  requirements:
+  - torch
+  - torchaudio
+  - tqdm
+  - onnxruntime
+url: ''
+version: 1.3.0
diff --git a/functions/master/silero_vad/1.3.0/src/silero_vad.ipynb b/functions/master/silero_vad/1.3.0/src/silero_vad.ipynb
new file mode 100644
index 00000000..29cd7437
--- /dev/null
+++ b/functions/master/silero_vad/1.3.0/src/silero_vad.ipynb
@@ -0,0 +1,35 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "initial_id",
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/functions/master/silero_vad/1.3.0/src/silero_vad.py b/functions/master/silero_vad/1.3.0/src/silero_vad.py
new file mode 100644
index 00000000..a477d4ec
--- /dev/null
+++ b/functions/master/silero_vad/1.3.0/src/silero_vad.py
@@ -0,0 +1,847 @@
+# Copyright 2024 Iguazio
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+import logging
+from multiprocessing import Process, Queue
+from pathlib import Path
+from types import FunctionType
+from typing import Dict, List, Tuple, Type, Union
+
+import torch
+import torchaudio
+from tqdm import tqdm
+
+
+class BaseTask:
+    """
+    A base class for a task to complete after VAD.
+    """
+
+    def __init__(self, audio_file: Path):
+        """
+        Initialize the base task.
+
+        :param audio_file: The audio file assigned to the task.
+        """
+        # Store the audio file:
+        self._audio_file = audio_file
+
+        # Prepare the result:
+        self._result = None
+
+    @property
+    def audio_file(self) -> Path:
+        """
+        Get the audio file of the task.
+
+        :returns: The audio file of the task.
+        """
+        return self._audio_file
+
+    def do_task(
+        self, speech_timestamps: Union[List[Dict[str, int]], List[List[Dict[str, int]]]]
+    ):
+        """
+        Do the task on the given speech timestamps. The base task will simply save the speech timestamps as the result.
+
+        :param speech_timestamps: The speech timestamps to do the task on as outputted from the VAD.
+        """
+        self._result = speech_timestamps
+
+    def get_result(self) -> Tuple[str, list]:
+        """
+        Get the result of the task. A tuple of the audio file name and the result.
+
+        :returns: The result of the task.
+        """
+        return self._audio_file.name, self._result
+
+    def to_tuple(self) -> Tuple[str, dict]:
+        """
+        Convert the task to a tuple to reconstruct it later (used for multiprocessing to pass in queue).
+
+        :returns: The converted task.
+        """
+        return self.__class__.__name__, {"audio_file": self._audio_file}
+
+
+class SpeechDiarizationTask(BaseTask):
+    """
+    A speech diarization task. The task will diarize the VAD speech timestamps into speakers.
+    """
+
+    def __init__(self, audio_file: Path, speaker_labels: List[str]):
+        """
+        Initialize the speech diarization task.
+
+        :param audio_file:     The audio file assigned to the task.
+        :param speaker_labels: The speaker labels to use for the diarization. If not given, the speakers will be named
+                               "speaker_0", "speaker_1", etc.
+        """
+        super().__init__(audio_file=audio_file)
+        self._speaker_labels = speaker_labels
+
+    def do_task(self, speech_timestamps: List[List[Dict[str, int]]]):
+        """
+        Do the task on the given speech timestamps. The task will diarize the VAD speech timestamps into speakers.
+
+        :param speech_timestamps: The speech timestamps per channel to do the task on as outputted from the VAD.
+        """
+        # Get the speaker labels (set default if not given):
+        speaker_labels = self._speaker_labels or [
+            f"speaker_{i}" for i in range(len(speech_timestamps))
+        ]
+
+        # Diarize - organize the speech timestamps into a single list of speakers and sort it by start time:
+        speech_diarization = [
+            (speech_timestamp["start"], speech_timestamp["end"], speaker_label)
+            for speaker_label, channel_speech_timestamps in zip(
+                speaker_labels, speech_timestamps
+            )
+            for speech_timestamp in channel_speech_timestamps
+        ]
+        speech_diarization.sort()
+        self._result = speech_diarization
+
+    def to_tuple(self) -> Tuple[str, dict]:
+        """
+        Convert the task to a tuple to reconstruct it later (used for multiprocessing to pass in queue).
+
+        :returns: The converted task.
+        """
+        task_class, task_kwargs = super().to_tuple()
+        return task_class, {**task_kwargs, "speaker_labels": self._speaker_labels}
+
+
+class TaskCreator:
+    """
+    A task creator to create different tasks to run after the VAD.
+    """
+
+    #: A map from task class name to task class to use in `from_tuple`:
+    _MAP = {
+        BaseTask.__name__: BaseTask,
+        SpeechDiarizationTask.__name__: SpeechDiarizationTask,
+    }
+
+    def __init__(self, task_type: Type[BaseTask], task_kwargs: dict = None):
+        """
+        Initialize the task creator.
+        :param task_type: The task type - a `BaseTask` subclass.
+        :param task_kwargs: Additional keyword arguments to pass to the to be created tasks.
+        """
+        self._task_type = task_type
+        self._task_kwargs = task_kwargs or {}
+
+    def create_task(self, audio_file: Path) -> BaseTask:
+        """
+        Create a task with the given audio file.
+
+        :param audio_file: The audio file to assign to the task.
+
+        :returns: The created task.
+        """
+        return self._task_type(audio_file=audio_file, **self._task_kwargs)
+
+    @classmethod
+    def from_tuple(cls, task_tuple: Tuple[str, dict]) -> BaseTask:
+        """
+        Create a task from a tuple of the audio file name and the task kwargs.
+
+        :param task_tuple: The task tuple to create the task from.
+
+        :returns: The created task.
+        """
+        task_class, task_kwargs = task_tuple
+        return cls._MAP[task_class](**task_kwargs)
+
+
+class VoiceActivityDetector:
+    """
+    A voice activity detection wrapper for the silero VAD model - https://github.com/snakers4/silero-vad.
+    """
+
+    def __init__(
+        self,
+        # Model loading kwargs:
+        use_onnx: bool = True,
+        force_onnx_cpu: bool = True,
+        # Detection kwargs:
+        threshold: float = 0.5,
+        sampling_rate: int = 16_000,
+        min_speech_duration_ms: int = 250,
+        max_speech_duration_s: float = float("inf"),
+        min_silence_duration_ms: int = 100,
+        window_size_samples: int = 512,
+        speech_pad_ms: int = 30,
+        return_seconds: bool = False,
+        per_channel: bool = False,
+    ):
+        """
+        Initialize the voice activity detector.
+
+        :param use_onnx:                Whether to use ONNX for inference. Default is True.
+        :param force_onnx_cpu:          Whether to force ONNX to use CPU for inference. Default is True.
+        :param threshold:               Speech threshold. Silero VAD outputs speech probabilities for each audio chunk,
+                                        probabilities ABOVE this value are considered as SPEECH. It is better to tune
+                                        this parameter for each dataset separately, but "lazy" 0.5 is pretty good for
+                                        most datasets.
+        :param sampling_rate:           Currently, silero VAD models support 8000 and 16000 sample rates.
+        :param min_speech_duration_ms:  Final speech chunks shorter min_speech_duration_ms are thrown out.
+        :param max_speech_duration_s:   Maximum duration of speech chunks in seconds. Chunks longer than
+                                        `max_speech_duration_s` will be split at the timestamp of the last silence that
+                                        lasts more than 100ms (if any), to prevent aggressive cutting. Otherwise,
+                                        they will be split aggressively just before max_speech_duration_s.
+        :param min_silence_duration_ms: In the end of each speech chunk wait for min_silence_duration_ms before
+                                        separating it.
+        :param window_size_samples:     Audio chunks of window_size_samples size are fed to the silero VAD model.
+                                        WARNING! Silero VAD models were trained using 512, 1024, 1536 samples for 16000
+                                        sample rate and 256, 512, 768 samples for 8000 sample rate. Values other than
+                                        these may affect model performance!
+        :param speech_pad_ms:           Final speech chunks are padded by speech_pad_ms each side.
+        :param return_seconds:          Whether return timestamps in seconds. False means to return timestamps in
+                                        samples (default - False).
+        :param per_channel:             Whether to return timestamps per channel (default - False). This will run VAD
+                                        on each channel separately and return a list of timestamps per channel.
+        """
+        # Store configurations:
+        self._use_onnx = use_onnx
+        self._force_onnx_cpu = force_onnx_cpu
+        self._threshold = threshold
+        self._sampling_rate = sampling_rate
+        self._min_speech_duration_ms = min_speech_duration_ms
+        self._max_speech_duration_s = max_speech_duration_s
+        self._min_silence_duration_ms = min_silence_duration_ms
+        self._window_size_samples = window_size_samples
+        self._speech_pad_ms = speech_pad_ms
+        self._return_seconds = return_seconds
+        self._per_channel = per_channel
+
+        # Prepare the model variables
+        self._model: torch.Module = None
+        self._get_speech_timestamps: FunctionType = None
+
+    def load(self, force_reload: bool = True):
+        """
+        Load the VAD model.
+
+        :param force_reload: Whether to force reload the model even if it was already loaded. Default is True.
+        """
+        model, utils = torch.hub.load(
+            repo_or_dir="snakers4/silero-vad",
+            model="silero_vad",
+            force_reload=force_reload,
+            onnx=self._use_onnx,
+            force_onnx_cpu=self._force_onnx_cpu,
+        )
+        self._model = model
+        (
+            self._get_speech_timestamps,
+            _,  # save_audio,
+            _,  # read_audio,
+            _,  # VADIterator,
+            _,  # collect_chunks
+        ) = utils
+
+    def detect_voice(
+        self,
+        audio_file: Path,
+    ) -> Union[List[Dict[str, int]], List[List[Dict[str, int]]]]:
+        """
+        Infer the audio through the VAD model and return the speech timestamps.
+
+        :param audio_file: The audio file to infer.
+
+        :returns: The speech timestamps in the audio. A list of timestamps where each timestamp is a dictionary with the
+                 following keys:
+
+                 * "start": The start sample index of the speech in the audio.
+                 * "end":   The end sample index of the speech in the audio.
+
+                 If `per_channel` is True, a list of timestamps per channel will be returned.
+        """
+        # Cast to a numpy array:
+        audio = self._read_audio(audio_file)
+
+        # Detect speech:
+        if not self._per_channel:
+            return self._get_speech_timestamps(
+                audio,
+                self._model,
+                threshold=self._threshold,
+                min_speech_duration_ms=self._min_speech_duration_ms,
+                max_speech_duration_s=self._max_speech_duration_s,
+                min_silence_duration_ms=self._min_silence_duration_ms,
+                speech_pad_ms=self._speech_pad_ms,
+                sampling_rate=self._sampling_rate,
+                window_size_samples=self._window_size_samples,
+                return_seconds=self._return_seconds,
+            )
+
+        # Per channel:
+        speech_timestamps = []
+        for channel in audio:
+            speech_timestamps.append(
+                self._get_speech_timestamps(
+                    channel,
+                    self._model,
+                    threshold=self._threshold,
+                    min_speech_duration_ms=self._min_speech_duration_ms,
+                    max_speech_duration_s=self._max_speech_duration_s,
+                    min_silence_duration_ms=self._min_silence_duration_ms,
+                    speech_pad_ms=self._speech_pad_ms,
+                    sampling_rate=self._sampling_rate,
+                    window_size_samples=self._window_size_samples,
+                    return_seconds=self._return_seconds,
+                )
+            )
+
+        return speech_timestamps
+
+    def _read_audio(
+        self,
+        path: Path,
+    ) -> torch.Tensor:
+        """
+        Read the audio from the given path and return it as a tensor.
+
+        :param path: The path to the audio file.
+
+        :returns: The audio as a tensor.
+        """
+        # Read the audio:
+        audio, sampling_rate = torchaudio.load(str(path))
+
+        # Check if the audio is stereo and if so, convert it to mono (only if not per channel):
+        if audio.size(0) > 1 and not self._per_channel:
+            audio = audio.mean(dim=0, keepdim=True)
+
+        # Resample the audio if needed:
+        if sampling_rate != self._sampling_rate:
+            transform = torchaudio.transforms.Resample(
+                orig_freq=sampling_rate, new_freq=self._sampling_rate
+            )
+            audio = transform(audio)
+
+        # Return the audio (squeeze if not per channel):
+        return audio if self._per_channel else audio.squeeze(0)
+
+
+#: The value to send into multiprocessing queues to stop the process:
+_MULTIPROCESSING_STOP_MARK = "STOP"
+
+
+def _multiprocessing_complete_tasks(
+    vad_init_kwargs: dict, tasks_queue: Queue, results_queue: Queue
+):
+    """
+    Complete the tasks in the given queue and put the results in the given results queue. The function will stop when
+    the given tasks queue will receive the stop mark. It is aimed to be used with multiprocessing as a process.
+
+    :param vad_init_kwargs: The VAD initialization kwargs.
+    :param tasks_queue:     A queue to get the tasks from.
+    :param results_queue:   A queue to put the results in.
+    """
+    # Initialize and load the VAD:
+    vad = VoiceActivityDetector(**vad_init_kwargs)
+    vad.load(force_reload=False)
+
+    # Start listening to the tasks queue:
+    while True:
+        # Get the task:
+        task: Tuple[str, dict] = tasks_queue.get()
+        if task == _MULTIPROCESSING_STOP_MARK:
+            break
+        try:
+            # Create the task:
+            task = TaskCreator.from_tuple(task_tuple=task)
+            # Run the file through the VAD:
+            speech_timestamps = vad.detect_voice(audio_file=task.audio_file)
+            # Complete the task:
+            task.do_task(speech_timestamps=speech_timestamps)
+            # Build the result:
+            result = (False, task.get_result())
+        except Exception as exception:
+            # Build the error:
+            result = (True, (task.audio_file.name, str(exception)))
+        # Collect the result / error:
+        results_queue.put(result)
+
+    # Mark the end of the tasks:
+    results_queue.put(_MULTIPROCESSING_STOP_MARK)
+
+
+# Get the global logger:
+try:
+    import mlrun
+
+    _LOGGER = mlrun.get_or_create_ctx("silero_vad").logger
+except ModuleNotFoundError:
+    _LOGGER = logging.getLogger()
+
+
+def detect_voice(
+    # Input kwargs:
+    data_path: Union[str, Path, List[Union[str, Path]]],
+    # Model loading kwargs:
+    use_onnx: bool = True,
+    force_onnx_cpu: bool = True,
+    # Detection kwargs:
+    threshold: float = 0.5,
+    sampling_rate: int = 16_000,
+    min_speech_duration_ms: int = 250,
+    max_speech_duration_s: float = float("inf"),
+    min_silence_duration_ms: int = 100,
+    window_size_samples: int = 512,
+    speech_pad_ms: int = 30,
+    return_seconds: bool = False,
+    per_channel: bool = False,
+    # Other kwargs:
+    use_multiprocessing: int = 0,
+    verbose: bool = False,
+):
+    """
+    Perform voice activity detection on given audio files using the silero VAD model -
+    https://github.com/snakers4/silero-vad. The end result is a dictionary with the file names as keys and their
+    VAD timestamps dictionaries as value.
+
+    For example::
+
+        {
+            "file_1.wav": [
+                {"start": 0, "end": 16000},
+                {"start": 16000, "end": 32000},
+                {"start": 32000, "end": 48000},
+                ...
+            ],
+            "file_2.wav": [
+                {"start": 0, "end": 16000},
+                {"start": 16000, "end": 32000},
+                {"start": 32000, "end": 48000},
+                ...
+            ],
+            ...
+        }
+
+
+    :param data_path:               The path to the audio files to diarize. Can be a path to a single file, a path to a
+                                    directory or a list of paths to files.
+    :param use_onnx:                Whether to use ONNX for inference. Default is True.
+    :param force_onnx_cpu:          Whether to force ONNX to use CPU for inference. Default is True.
+    :param threshold:               Speech threshold. Silero VAD outputs speech probabilities for each audio chunk,
+                                    probabilities ABOVE this value are considered as SPEECH. It is better to tune
+                                    this parameter for each dataset separately, but "lazy" 0.5 is pretty good for
+                                    most datasets.
+    :param sampling_rate:           Currently, silero VAD models support 8000 and 16000 sample rates.
+    :param min_speech_duration_ms:  Final speech chunks shorter min_speech_duration_ms are thrown out.
+    :param max_speech_duration_s:   Maximum duration of speech chunks in seconds. Chunks longer than
+                                    `max_speech_duration_s` will be split at the timestamp of the last silence that
+                                    lasts more than 100ms (if any), to prevent aggressive cutting. Otherwise, they will
+                                    be split aggressively just before max_speech_duration_s.
+    :param min_silence_duration_ms: In the end of each speech chunk wait for min_silence_duration_ms before separating
+                                    it.
+    :param window_size_samples:     Audio chunks of window_size_samples size are fed to the silero VAD model.
+
+                                    WARNING! Silero VAD models were trained using 512, 1024, 1536 samples for 16000
+                                    sample rate and 256, 512, 768 samples for 8000 sample rate. Values other than
+                                    these may affect model performance!
+    :param speech_pad_ms:           Final speech chunks are padded by speech_pad_ms each side.
+    :param return_seconds:          Whether return timestamps in seconds. False means to return timestamps in samples
+                                    (default - False).
+    :param per_channel:             Whether to return timestamps per channel (default - False). This will run VAD on
+                                    each channel separately and return a list of timestamps per channel.
+    :param use_multiprocessing:     The number of workers to use for multiprocessing. If 0, no multiprocessing will
+                                    be used. Default is 0.
+    :param verbose:                 Verbosity.
+    """
+    global _LOGGER
+
+    # Get the input audio files to transcribe:
+    if verbose:
+        _LOGGER.info("Collecting audio files.")
+    audio_files = _get_audio_files(data_path=data_path)
+    if verbose:
+        _LOGGER.info(f"Collected {len(audio_files)} audio files.")
+
+    # Initialize the transcription pipeline:
+    vad_init_kwargs = {
+        "use_onnx": use_onnx,
+        "force_onnx_cpu": force_onnx_cpu,
+        "threshold": threshold,
+        "sampling_rate": sampling_rate,
+        "min_speech_duration_ms": min_speech_duration_ms,
+        "max_speech_duration_s": max_speech_duration_s,
+        "min_silence_duration_ms": min_silence_duration_ms,
+        "window_size_samples": window_size_samples,
+        "speech_pad_ms": speech_pad_ms,
+        "return_seconds": return_seconds,
+        "per_channel": per_channel,
+    }
+
+    # Create the task creator:
+    task_creator = TaskCreator(task_type=BaseTask)
+
+    # Run the transcription:
+    if use_multiprocessing:
+        results = _parallel_run(
+            n_workers=use_multiprocessing,
+            audio_files=audio_files,
+            description="Detecting voice",
+            vad_init_kwargs=vad_init_kwargs,
+            task_creator=task_creator,
+            verbose=verbose,
+        )
+    else:
+        results = _run(
+            audio_files=audio_files,
+            description="Detecting voice",
+            vad_init_kwargs=vad_init_kwargs,
+            task_creator=task_creator,
+            verbose=verbose,
+        )
+
+    # Process the results:
+    return _process_results(results=results, verbose=verbose)
+
+
+def diarize(
+    # Input / Output kwargs:
+    data_path: Union[str, Path, List[Union[str, Path]]],
+    # Model loading kwargs:
+    use_onnx: bool = True,
+    force_onnx_cpu: bool = True,
+    # Detection kwargs:
+    threshold: float = 0.5,
+    sampling_rate: int = 16_000,
+    min_speech_duration_ms: int = 250,
+    max_speech_duration_s: float = float("inf"),
+    min_silence_duration_ms: int = 100,
+    window_size_samples: int = 512,
+    speech_pad_ms: int = 30,
+    # Diarization kwargs:
+    speaker_labels: List[str] = None,
+    # Other kwargs:
+    use_multiprocessing: int = 0,
+    verbose: bool = False,
+):
+    """
+    Perform speech diarization on given audio files using the silero VAD model - https://github.com/snakers4/silero-vad.
+    The speech diarization is performed per channel so that each channel in the audio belong to a different speaker. The
+    end result is a dictionary with the file names as keys and their diarization as value. A diarization is a list
+    of tuples: (start, end, speaker_label).
+
+    For example::
+
+        {
+            "file_1.wav": [
+                (0.0, 1.0, "speaker_0"),
+                (1.0, 2.0, "speaker_1"),
+                (2.0, 3.0, "speaker_0"),
+                ...
+            ],
+            "file_2.wav": [
+                (0.0, 1.0, "speaker_0"),
+                (1.0, 2.0, "speaker_1"),
+                (2.0, 3.0, "speaker_0"),
+                ...
+            ],
+            ...
+        }
+
+
+    :param data_path:               The path to the audio files to diarize. Can be a path to a single file, a path to a
+                                    directory or a list of paths to files.
+    :param use_onnx:                Whether to use ONNX for inference. Default is True.
+    :param force_onnx_cpu:          Whether to force ONNX to use CPU for inference. Default is True.
+    :param threshold:               Speech threshold. Silero VAD outputs speech probabilities for each audio chunk,
+                                    probabilities ABOVE this value are considered as SPEECH. It is better to tune
+                                    this parameter for each dataset separately, but "lazy" 0.5 is pretty good for
+                                    most datasets.
+    :param sampling_rate:           Currently, silero VAD models support 8000 and 16000 sample rates.
+    :param min_speech_duration_ms:  Final speech chunks shorter min_speech_duration_ms are thrown out.
+    :param max_speech_duration_s:   Maximum duration of speech chunks in seconds. Chunks longer than
+                                    `max_speech_duration_s` will be split at the timestamp of the last silence that
+                                    lasts more than 100ms (if any), to prevent aggressive cutting. Otherwise, they will
+                                    be split aggressively just before max_speech_duration_s.
+    :param min_silence_duration_ms: In the end of each speech chunk wait for min_silence_duration_ms before separating
+                                    it.
+    :param window_size_samples:     Audio chunks of window_size_samples size are fed to the silero VAD model.
+
+                                    WARNING! Silero VAD models were trained using 512, 1024, 1536 samples for 16000
+                                    sample rate and 256, 512, 768 samples for 8000 sample rate. Values other than
+                                    these may affect model performance!
+    :param speech_pad_ms:           Final speech chunks are padded by speech_pad_ms each side.
+    :param speaker_labels:          The speaker labels to use for the diarization. If not given, the speakers will be
+                                    named "speaker_0", "speaker_1", etc.
+    :param use_multiprocessing:     The number of workers to use for multiprocessing. If 0, no multiprocessing will
+                                    be used. Default is 0.
+    :param verbose:                 Verbosity.
+    """
+    global _LOGGER
+
+    # Get the input audio files to transcribe:
+    if verbose:
+        _LOGGER.info("Collecting audio files.")
+    audio_files = _get_audio_files(data_path=data_path)
+    if verbose:
+        _LOGGER.info(f"Collected {len(audio_files)} audio files.")
+
+    # Initialize the transcription pipeline:
+    vad_init_kwargs = {
+        "use_onnx": use_onnx,
+        "force_onnx_cpu": force_onnx_cpu,
+        "threshold": threshold,
+        "sampling_rate": sampling_rate,
+        "min_speech_duration_ms": min_speech_duration_ms,
+        "max_speech_duration_s": max_speech_duration_s,
+        "min_silence_duration_ms": min_silence_duration_ms,
+        "window_size_samples": window_size_samples,
+        "speech_pad_ms": speech_pad_ms,
+        "return_seconds": True,
+        "per_channel": True,
+    }
+
+    # Create the task creator:
+    task_creator = TaskCreator(
+        task_type=SpeechDiarizationTask, task_kwargs={"speaker_labels": speaker_labels}
+    )
+
+    # Run the transcription:
+    if use_multiprocessing:
+        results = _parallel_run(
+            n_workers=use_multiprocessing,
+            audio_files=audio_files,
+            description="Diarizing",
+            vad_init_kwargs=vad_init_kwargs,
+            task_creator=task_creator,
+            verbose=verbose,
+        )
+    else:
+        results = _run(
+            audio_files=audio_files,
+            description="Diarizing",
+            vad_init_kwargs=vad_init_kwargs,
+            task_creator=task_creator,
+            verbose=verbose,
+        )
+
+    # Process the results:
+    return _process_results(results=results, verbose=verbose)
+
+
+def _get_audio_files(
+    data_path: Union[Path, str, list],
+) -> List[Path]:
+    """
+    Get the audio files from the data path. If a path to a directory is given, all files in the directory will be
+    collected.
+
+    :param data_path: The data path to collect the audio files from.
+
+    :returns: The audio files list.
+    """
+    # Check if given a list of paths:
+    if isinstance(data_path, list):
+        audio_files = []
+        for path in data_path:
+            audio_files.extend(_get_audio_files(data_path=path))
+        return audio_files
+
+    # Check if given a single string path to cast it to a `pathlib.Path`:
+    if isinstance(data_path, str):
+        data_path = Path(data_path).absolute()
+
+    # Check if the path is of a directory or a file:
+    if data_path.is_dir():
+        # Get all files inside the directory:
+        audio_files = list(data_path.glob("*.*"))
+    elif data_path.is_file():
+        audio_files = [data_path]
+    else:
+        raise ValueError(
+            f"Unrecognized data path. The parameter `data_path` must be a valid path to either a directory path or a "
+            f"file. Given: {str(data_path)} "
+        )
+
+    return audio_files
+
+
+def _run(
+    audio_files: List[Path],
+    description: str,
+    vad_init_kwargs: dict,
+    task_creator: TaskCreator,
+    verbose: bool,
+) -> List[Tuple[bool, Tuple[str, list]]]:
+    """
+    Load a VAD and use it to complete the tasks that will be created on the provided files using the given task creator.
+
+    :param audio_files:     The audio files to use.
+    :param description:     The description to use for the progress bar.
+    :param vad_init_kwargs: The VAD initialization keyword arguments.
+    :param task_creator:    The task creator to use to create the tasks.
+    :param verbose:         Verbosity.
+
+    :returns: The collected results.
+    """
+    # Load the VAD:
+    vad = VoiceActivityDetector(**vad_init_kwargs)
+    if verbose:
+        _LOGGER.info(f"Loading the VAD model.")
+    vad.load()
+    if verbose:
+        _LOGGER.info("VAD model loaded.")
+
+    # Run the VAD on the audio files and collect the results:
+    results = []
+    for audio_file in tqdm(
+        audio_files,
+        desc=description,
+        unit="file",
+        total=len(audio_files),
+        disable=not verbose,
+    ):
+        try:
+            # Create the task:
+            task = task_creator.create_task(audio_file=audio_file)
+            # Run the file through the VAD:
+            speech_timestamps = vad.detect_voice(audio_file=audio_file)
+            # Complete the task:
+            task.do_task(speech_timestamps=speech_timestamps)
+            # Collect the result:
+            results.append((False, task.get_result()))
+        except Exception as exception:
+            # Collect the error:
+            results.append((True, (audio_file.name, str(exception))))
+
+    return results
+
+
+def _parallel_run(
+    n_workers: int,
+    audio_files: List[Path],
+    description: str,
+    vad_init_kwargs: dict,
+    task_creator: TaskCreator,
+    verbose: bool,
+) -> List[Tuple[bool, Tuple[str, list]]]:
+    """
+    Run multiple VAD workers with multiprocessing to complete the tasks that will be created on the provided files using
+    the given task creator.
+
+    :param n_workers:       The number of workers to use.
+    :param audio_files:     The audio files to use.
+    :param description:     The description to use for the progress bar.
+    :param vad_init_kwargs: The VAD initialization keyword arguments.
+    :param task_creator:    The task creator to use to create the tasks.
+    :param verbose:         Verbosity.
+
+    :returns: The collected results.
+    """
+    # Load the VAD (download once, and it will be loaded then per process later on):
+    if verbose:
+        _LOGGER.info(f"Loading the VAD model.")
+    vad = VoiceActivityDetector(**vad_init_kwargs)
+    vad.load()
+    if verbose:
+        _LOGGER.info("VAD model loaded.")
+
+    # Check the number of workers:
+    if n_workers > len(audio_files):
+        _LOGGER.warning(
+            f"The number of workers ({n_workers}) is larger than the number of audio files ({len(audio_files)}). "
+            f"Setting the number of workers to {len(audio_files)}."
+        )
+        n_workers = len(audio_files)
+
+    # Initialize the multiprocessing queues:
+    tasks_queue = Queue()
+    results_queue = Queue()
+
+    # Initialize the multiprocessing processes:
+    task_completion_processes = [
+        Process(
+            target=_multiprocessing_complete_tasks,
+            kwargs={
+                "vad_init_kwargs": vad_init_kwargs,
+                "tasks_queue": tasks_queue,
+                "results_queue": results_queue,
+            },
+        )
+        for _ in range(n_workers)
+    ]
+
+    # Start the multiprocessing processes:
+    for p in task_completion_processes:
+        p.start()
+
+    # Put the tasks in the queue:
+    for audio_file in audio_files:
+        tasks_queue.put(task_creator.create_task(audio_file=audio_file).to_tuple())
+
+    # Put the stop marks in the queue:
+    for _ in range(n_workers):
+        tasks_queue.put(_MULTIPROCESSING_STOP_MARK)
+
+    # Collect the results:
+    results = []
+    stop_marks_counter = 0
+    with tqdm(
+        desc=description,
+        unit="file",
+        total=len(audio_files),
+        disable=not verbose,
+    ) as progressbar:
+        while True:
+            # Get a result from the queue:
+            result: Tuple[bool, Tuple[str, list]] = results_queue.get()
+            if result == _MULTIPROCESSING_STOP_MARK:
+                stop_marks_counter += 1
+                if stop_marks_counter == n_workers:
+                    break
+            else:
+                # Collect the result:
+                results.append(result)
+                progressbar.update(1)
+
+    # Wait for the processes to finish:
+    for p in task_completion_processes:
+        p.join()
+
+    return results
+
+
+def _process_results(
+    results: List[Tuple[bool, Tuple[str, list]]], verbose: bool
+) -> Tuple[dict, dict]:
+    """
+    Process the results of the tasks.
+
+    :param results: The results to process.
+    :param verbose: Verbosity.
+
+    :returns: The processed results as a tuple of successes and errors.
+    """
+    if verbose:
+        _LOGGER.info("Summarizing the results.")
+    successes = {}
+    errors = {}
+    for is_error, result in results:
+        if is_error:
+            errors[result[0]] = result[1]
+        else:
+            successes[result[0]] = result[1]
+    if verbose:
+        _LOGGER.info(f"Done ({len(successes)}/{len(successes) + len(errors)})\n")
+
+    return successes, errors
diff --git a/functions/master/silero_vad/1.3.0/src/test_silero_vad.py b/functions/master/silero_vad/1.3.0/src/test_silero_vad.py
new file mode 100644
index 00000000..d46471a5
--- /dev/null
+++ b/functions/master/silero_vad/1.3.0/src/test_silero_vad.py
@@ -0,0 +1,44 @@
+import os
+import tempfile
+
+import mlrun
+import pytest
+
+
+@pytest.fixture()
+def setup_test():
+    with tempfile.TemporaryDirectory() as artifact_path:
+        project = mlrun.get_or_create_project(name="default", context=artifact_path)
+        func = project.set_function(
+            func=os.path.abspath("./function.yaml"),
+            name="silero-vad",
+            image="mlrun/mlrun",
+        )
+        yield func, artifact_path
+
+
+def test_detect_voice(setup_test):
+    silero_vad_function, artifact_path = setup_test
+    run = silero_vad_function.run(
+        handler="detect_voice",
+        inputs={"data_path": "./assets"},
+        returns=["vad_outputs: file", "errors: file"],
+        artifact_path=artifact_path,
+        local=True,
+    )
+    assert run.outputs["vad_outputs"]
+
+
+def test_diarize(setup_test):
+    silero_vad_function, artifact_path = setup_test
+    run = silero_vad_function.run(
+        handler="diarize",
+        inputs={"data_path": "./assets"},
+        params={
+            "speakers_labels": ["Agent", "Client"],
+        },
+        returns=["speech_diarization: file", "errors: file"],
+        artifact_path=artifact_path,
+        local=True,
+    )
+    assert run.outputs["speech_diarization"]
diff --git a/functions/master/silero_vad/1.3.0/static/documentation.html b/functions/master/silero_vad/1.3.0/static/documentation.html
new file mode 100644
index 00000000..d9cd1445
--- /dev/null
+++ b/functions/master/silero_vad/1.3.0/static/documentation.html
@@ -0,0 +1,481 @@
+
+<!DOCTYPE html>
+
+<html lang="en">
+<head>
+<meta charset="utf-8"/>
+<meta content="width=device-width, initial-scale=1.0" name="viewport"/><meta content="Docutils 0.17.1: http://docutils.sourceforge.net/" name="generator"/>
+<title>silero_vad package</title>
+<!-- Loaded before other Sphinx assets -->
+<link href="../../../_static/styles/theme.css?digest=1999514e3f237ded88cf" rel="stylesheet"/>
+<link href="../../../_static/styles/pydata-sphinx-theme.css?digest=1999514e3f237ded88cf" rel="stylesheet"/>
+<link href="../../../_static/vendor/fontawesome/5.13.0/css/all.min.css" rel="stylesheet"/>
+<link as="font" crossorigin="" href="../../../_static/vendor/fontawesome/5.13.0/webfonts/fa-solid-900.woff2" rel="preload" type="font/woff2"/>
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+<link href="../../../_static/togglebutton.css" rel="stylesheet" type="text/css">
+<!-- Pre-loaded scripts that we'll load fully later -->
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+<meta content="width=device-width, initial-scale=1" name="viewport"/>
+<meta content="en" name="docsearch:language"/>
+<!-- Google Analytics -->
+</link></link></link></link></link></link></head>
+<body data-offset="60" data-spy="scroll" data-target="#bd-toc-nav">
+<!-- Checkboxes to toggle the left sidebar -->
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+<div class="visually-hidden">Toggle navigation sidebar</div>
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+<div class="visually-hidden">Toggle in-page Table of Contents</div>
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+<button aria-label="Source repositories" class="headerbtn menu-dropdown__trigger">
+<i class="fab fa-github"></i>
+</button>
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+<ul>
+<li>
+<a class="headerbtn" data-placement="left" data-toggle="tooltip" href="https://github.com/mlrun/marketplace" title="Source repository">
+<span class="headerbtn__icon-container">
+<i class="fab fa-github"></i>
+</span>
+<span class="headerbtn__text-container">repository</span>
+</a>
+</li>
+<li>
+<a class="headerbtn" data-placement="left" data-toggle="tooltip" href="https://github.com/mlrun/marketplace/issues/new?title=Issue%20on%20page%20%2Fsilero_vad.html&amp;body=Your%20issue%20content%20here." title="Open an issue">
+<span class="headerbtn__icon-container">
+<i class="fas fa-lightbulb"></i>
+</span>
+<span class="headerbtn__text-container">open issue</span>
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+<label class="headerbtn headerbtn-page-toc" for="__page-toc">
+<span class="headerbtn__icon-container">
+<i class="fas fa-list"></i>
+</span>
+</label>
+</div>
+</div>
+<!-- Table of contents -->
+<div class="col-md-3 bd-toc show noprint">
+<div class="tocsection onthispage pt-5 pb-3">
+<i class="fas fa-list"></i> Contents
+    </div>
+<nav aria-label="Page" id="bd-toc-nav">
+<ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#submodules">
+   Submodules
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#module-silero_vad.silero_vad">
+   silero_vad.silero_vad module
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#module-silero_vad">
+   Module contents
+  </a>
+</li>
+</ul>
+</nav>
+</div>
+</div>
+<div class="article row">
+<div class="col pl-md-3 pl-lg-5 content-container">
+<!-- Table of contents that is only displayed when printing the page -->
+<div class="onlyprint" id="jb-print-docs-body">
+<h1>silero_vad package</h1>
+<!-- Table of contents -->
+<div id="print-main-content">
+<div id="jb-print-toc">
+<div>
+<h2> Contents </h2>
+</div>
+<nav aria-label="Page">
+<ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#submodules">
+   Submodules
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#module-silero_vad.silero_vad">
+   silero_vad.silero_vad module
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#module-silero_vad">
+   Module contents
+  </a>
+</li>
+</ul>
+</nav>
+</div>
+</div>
+</div>
+<main id="main-content" role="main">
+<div>
+<section id="silero-vad-package">
+<h1>silero_vad package<a class="headerlink" href="#silero-vad-package" title="Permalink to this headline">#</a></h1>
+<section id="submodules">
+<h2>Submodules<a class="headerlink" href="#submodules" title="Permalink to this headline">#</a></h2>
+</section>
+<section id="module-silero_vad.silero_vad">
+<span id="silero-vad-silero-vad-module"></span><h2>silero_vad.silero_vad module<a class="headerlink" href="#module-silero_vad.silero_vad" title="Permalink to this headline">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="silero_vad.silero_vad.BaseTask">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">silero_vad.silero_vad.</span></span><span class="sig-name descname"><span class="pre">BaseTask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">audio_file</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pathlib.Path</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="silero_vad.html#BaseTask"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#silero_vad.silero_vad.BaseTask" title="Permalink to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
+<p>A base class for a task to complete after VAD.</p>
+<dl class="py property">
+<dt class="sig sig-object py" id="silero_vad.silero_vad.BaseTask.audio_file">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">audio_file</span></span><em class="property"><span class="pre">:</span> <span class="pre">pathlib.Path</span></em><a class="headerlink" href="#silero_vad.silero_vad.BaseTask.audio_file" title="Permalink to this definition">#</a></dt>
+<dd><p>Get the audio file of the task.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>The audio file of the task.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="silero_vad.silero_vad.BaseTask.do_task">
+<span class="sig-name descname"><span class="pre">do_task</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">speech_timestamps</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span><a class="reference internal" href="silero_vad.html#BaseTask.do_task"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#silero_vad.silero_vad.BaseTask.do_task" title="Permalink to this definition">#</a></dt>
+<dd><p>Do the task on the given speech timestamps. The base task will simply save the speech timestamps as the result.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>speech_timestamps</strong> – The speech timestamps to do the task on as outputted from the VAD.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="silero_vad.silero_vad.BaseTask.get_result">
+<span class="sig-name descname"><span class="pre">get_result</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> → <span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">list</span><span class="p"><span class="pre">]</span></span><a class="reference internal" href="silero_vad.html#BaseTask.get_result"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#silero_vad.silero_vad.BaseTask.get_result" title="Permalink to this definition">#</a></dt>
+<dd><p>Get the result of the task. A tuple of the audio file name and the result.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>The result of the task.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="silero_vad.silero_vad.BaseTask.to_tuple">
+<span class="sig-name descname"><span class="pre">to_tuple</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> → <span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span><a class="reference internal" href="silero_vad.html#BaseTask.to_tuple"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#silero_vad.silero_vad.BaseTask.to_tuple" title="Permalink to this definition">#</a></dt>
+<dd><p>Convert the task to a tuple to reconstruct it later (used for multiprocessing to pass in queue).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>The converted task.</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="silero_vad.silero_vad.SpeechDiarizationTask">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">silero_vad.silero_vad.</span></span><span class="sig-name descname"><span class="pre">SpeechDiarizationTask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">audio_file</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pathlib.Path</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">speaker_labels</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span><a class="reference internal" href="silero_vad.html#SpeechDiarizationTask"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#silero_vad.silero_vad.SpeechDiarizationTask" title="Permalink to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#silero_vad.silero_vad.BaseTask" title="silero_vad.silero_vad.BaseTask"><code class="xref py py-class docutils literal notranslate"><span class="pre">silero_vad.silero_vad.BaseTask</span></code></a></p>
+<p>A speech diarization task. The task will diarize the VAD speech timestamps into speakers.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="silero_vad.silero_vad.SpeechDiarizationTask.do_task">
+<span class="sig-name descname"><span class="pre">do_task</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">speech_timestamps</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span><a class="reference internal" href="silero_vad.html#SpeechDiarizationTask.do_task"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#silero_vad.silero_vad.SpeechDiarizationTask.do_task" title="Permalink to this definition">#</a></dt>
+<dd><p>Do the task on the given speech timestamps. The task will diarize the VAD speech timestamps into speakers.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>speech_timestamps</strong> – The speech timestamps per channel to do the task on as outputted from the VAD.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="silero_vad.silero_vad.SpeechDiarizationTask.to_tuple">
+<span class="sig-name descname"><span class="pre">to_tuple</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> → <span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span><a class="reference internal" href="silero_vad.html#SpeechDiarizationTask.to_tuple"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#silero_vad.silero_vad.SpeechDiarizationTask.to_tuple" title="Permalink to this definition">#</a></dt>
+<dd><p>Convert the task to a tuple to reconstruct it later (used for multiprocessing to pass in queue).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>The converted task.</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="silero_vad.silero_vad.TaskCreator">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">silero_vad.silero_vad.</span></span><span class="sig-name descname"><span class="pre">TaskCreator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">task_type</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Type</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#silero_vad.silero_vad.BaseTask" title="silero_vad.silero_vad.BaseTask"><span class="pre">silero_vad.silero_vad.BaseTask</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">task_kwargs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="silero_vad.html#TaskCreator"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#silero_vad.silero_vad.TaskCreator" title="Permalink to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
+<p>A task creator to create different tasks to run after the VAD.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="silero_vad.silero_vad.TaskCreator.create_task">
+<span class="sig-name descname"><span class="pre">create_task</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">audio_file</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pathlib.Path</span></span></em><span class="sig-paren">)</span> → <a class="reference internal" href="#silero_vad.silero_vad.BaseTask" title="silero_vad.silero_vad.BaseTask"><span class="pre">silero_vad.silero_vad.BaseTask</span></a><a class="reference internal" href="silero_vad.html#TaskCreator.create_task"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#silero_vad.silero_vad.TaskCreator.create_task" title="Permalink to this definition">#</a></dt>
+<dd><p>Create a task with the given audio file.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>audio_file</strong> – The audio file to assign to the task.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>The created task.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="silero_vad.silero_vad.TaskCreator.from_tuple">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">from_tuple</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">task_tuple</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> → <a class="reference internal" href="#silero_vad.silero_vad.BaseTask" title="silero_vad.silero_vad.BaseTask"><span class="pre">silero_vad.silero_vad.BaseTask</span></a><a class="reference internal" href="silero_vad.html#TaskCreator.from_tuple"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#silero_vad.silero_vad.TaskCreator.from_tuple" title="Permalink to this definition">#</a></dt>
+<dd><p>Create a task from a tuple of the audio file name and the task kwargs.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>task_tuple</strong> – The task tuple to create the task from.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>The created task.</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="silero_vad.silero_vad.VoiceActivityDetector">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">silero_vad.silero_vad.</span></span><span class="sig-name descname"><span class="pre">VoiceActivityDetector</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">use_onnx</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">force_onnx_cpu</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">float</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sampling_rate</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">16000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_speech_duration_ms</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">250</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_speech_duration_s</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">float</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">inf</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_silence_duration_ms</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">window_size_samples</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">512</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">speech_pad_ms</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">30</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_seconds</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">per_channel</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="silero_vad.html#VoiceActivityDetector"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#silero_vad.silero_vad.VoiceActivityDetector" title="Permalink to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
+<p>A voice activity detection wrapper for the silero VAD model - <a class="reference external" href="https://github.com/snakers4/silero-vad">https://github.com/snakers4/silero-vad</a>.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="silero_vad.silero_vad.VoiceActivityDetector.detect_voice">
+<span class="sig-name descname"><span class="pre">detect_voice</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">audio_file</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pathlib.Path</span></span></em><span class="sig-paren">)</span> → <span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><a class="reference internal" href="silero_vad.html#VoiceActivityDetector.detect_voice"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#silero_vad.silero_vad.VoiceActivityDetector.detect_voice" title="Permalink to this definition">#</a></dt>
+<dd><p>Infer the audio through the VAD model and return the speech timestamps.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>audio_file</strong> – The audio file to infer.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p><p>The speech timestamps in the audio. A list of timestamps where each timestamp is a dictionary with the
+following keys:</p>
+<ul class="simple">
+<li><p>”start”: The start sample index of the speech in the audio.</p></li>
+<li><p>”end”:   The end sample index of the speech in the audio.</p></li>
+</ul>
+<p>If <cite>per_channel</cite> is True, a list of timestamps per channel will be returned.</p>
+</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="silero_vad.silero_vad.VoiceActivityDetector.load">
+<span class="sig-name descname"><span class="pre">load</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">force_reload</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="silero_vad.html#VoiceActivityDetector.load"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#silero_vad.silero_vad.VoiceActivityDetector.load" title="Permalink to this definition">#</a></dt>
+<dd><p>Load the VAD model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>force_reload</strong> – Whether to force reload the model even if it was already loaded. Default is True.</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="silero_vad.silero_vad.detect_voice">
+<span class="sig-prename descclassname"><span class="pre">silero_vad.silero_vad.</span></span><span class="sig-name descname"><span class="pre">detect_voice</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">pathlib.Path</span><span class="p"><span class="pre">,</span> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">pathlib.Path</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_onnx</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">force_onnx_cpu</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">float</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sampling_rate</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">16000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_speech_duration_ms</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">250</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_speech_duration_s</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">float</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">inf</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_silence_duration_ms</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">window_size_samples</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">512</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">speech_pad_ms</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">30</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_seconds</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">per_channel</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_multiprocessing</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="silero_vad.html#detect_voice"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#silero_vad.silero_vad.detect_voice" title="Permalink to this definition">#</a></dt>
+<dd><p>Perform voice activity detection on given audio files using the silero VAD model -
+<a class="reference external" href="https://github.com/snakers4/silero-vad">https://github.com/snakers4/silero-vad</a>. The end result is a dictionary with the file names as keys and their
+VAD timestamps dictionaries as value.</p>
+<p>For example:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="p">{</span>
+    <span class="s2">"file_1.wav"</span><span class="p">:</span> <span class="p">[</span>
+        <span class="p">{</span><span class="s2">"start"</span><span class="p">:</span> <span class="mi">0</span><span class="p">,</span> <span class="s2">"end"</span><span class="p">:</span> <span class="mi">16000</span><span class="p">},</span>
+        <span class="p">{</span><span class="s2">"start"</span><span class="p">:</span> <span class="mi">16000</span><span class="p">,</span> <span class="s2">"end"</span><span class="p">:</span> <span class="mi">32000</span><span class="p">},</span>
+        <span class="p">{</span><span class="s2">"start"</span><span class="p">:</span> <span class="mi">32000</span><span class="p">,</span> <span class="s2">"end"</span><span class="p">:</span> <span class="mi">48000</span><span class="p">},</span>
+        <span class="o">...</span>
+    <span class="p">],</span>
+    <span class="s2">"file_2.wav"</span><span class="p">:</span> <span class="p">[</span>
+        <span class="p">{</span><span class="s2">"start"</span><span class="p">:</span> <span class="mi">0</span><span class="p">,</span> <span class="s2">"end"</span><span class="p">:</span> <span class="mi">16000</span><span class="p">},</span>
+        <span class="p">{</span><span class="s2">"start"</span><span class="p">:</span> <span class="mi">16000</span><span class="p">,</span> <span class="s2">"end"</span><span class="p">:</span> <span class="mi">32000</span><span class="p">},</span>
+        <span class="p">{</span><span class="s2">"start"</span><span class="p">:</span> <span class="mi">32000</span><span class="p">,</span> <span class="s2">"end"</span><span class="p">:</span> <span class="mi">48000</span><span class="p">},</span>
+        <span class="o">...</span>
+    <span class="p">],</span>
+    <span class="o">...</span>
+<span class="p">}</span>
+</pre></div>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data_path</strong> – The path to the audio files to diarize. Can be a path to a single file, a path to a
+directory or a list of paths to files.</p></li>
+<li><p><strong>use_onnx</strong> – Whether to use ONNX for inference. Default is True.</p></li>
+<li><p><strong>force_onnx_cpu</strong> – Whether to force ONNX to use CPU for inference. Default is True.</p></li>
+<li><p><strong>threshold</strong> – Speech threshold. Silero VAD outputs speech probabilities for each audio chunk,
+probabilities ABOVE this value are considered as SPEECH. It is better to tune
+this parameter for each dataset separately, but “lazy” 0.5 is pretty good for
+most datasets.</p></li>
+<li><p><strong>sampling_rate</strong> – Currently, silero VAD models support 8000 and 16000 sample rates.</p></li>
+<li><p><strong>min_speech_duration_ms</strong> – Final speech chunks shorter min_speech_duration_ms are thrown out.</p></li>
+<li><p><strong>max_speech_duration_s</strong> – Maximum duration of speech chunks in seconds. Chunks longer than
+<cite>max_speech_duration_s</cite> will be split at the timestamp of the last silence that
+lasts more than 100ms (if any), to prevent aggressive cutting. Otherwise, they will
+be split aggressively just before max_speech_duration_s.</p></li>
+<li><p><strong>min_silence_duration_ms</strong> – In the end of each speech chunk wait for min_silence_duration_ms before separating
+it.</p></li>
+<li><p><strong>window_size_samples</strong> – <p>Audio chunks of window_size_samples size are fed to the silero VAD model.</p>
+<p>WARNING! Silero VAD models were trained using 512, 1024, 1536 samples for 16000
+sample rate and 256, 512, 768 samples for 8000 sample rate. Values other than
+these may affect model performance!</p>
+</p></li>
+<li><p><strong>speech_pad_ms</strong> – Final speech chunks are padded by speech_pad_ms each side.</p></li>
+<li><p><strong>return_seconds</strong> – Whether return timestamps in seconds. False means to return timestamps in samples
+(default - False).</p></li>
+<li><p><strong>per_channel</strong> – Whether to return timestamps per channel (default - False). This will run VAD on
+each channel separately and return a list of timestamps per channel.</p></li>
+<li><p><strong>use_multiprocessing</strong> – The number of workers to use for multiprocessing. If 0, no multiprocessing will
+be used. Default is 0.</p></li>
+<li><p><strong>verbose</strong> – Verbosity.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="silero_vad.silero_vad.diarize">
+<span class="sig-prename descclassname"><span class="pre">silero_vad.silero_vad.</span></span><span class="sig-name descname"><span class="pre">diarize</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">pathlib.Path</span><span class="p"><span class="pre">,</span> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">pathlib.Path</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_onnx</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">force_onnx_cpu</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">float</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sampling_rate</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">16000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_speech_duration_ms</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">250</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_speech_duration_s</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">float</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">inf</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_silence_duration_ms</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">window_size_samples</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">512</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">speech_pad_ms</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">30</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">speaker_labels</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_multiprocessing</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="silero_vad.html#diarize"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#silero_vad.silero_vad.diarize" title="Permalink to this definition">#</a></dt>
+<dd><p>Perform speech diarization on given audio files using the silero VAD model - <a class="reference external" href="https://github.com/snakers4/silero-vad">https://github.com/snakers4/silero-vad</a>.
+The speech diarization is performed per channel so that each channel in the audio belong to a different speaker. The
+end result is a dictionary with the file names as keys and their diarization as value. A diarization is a list
+of tuples: (start, end, speaker_label).</p>
+<p>For example:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="p">{</span>
+    <span class="s2">"file_1.wav"</span><span class="p">:</span> <span class="p">[</span>
+        <span class="p">(</span><span class="mf">0.0</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">,</span> <span class="s2">"speaker_0"</span><span class="p">),</span>
+        <span class="p">(</span><span class="mf">1.0</span><span class="p">,</span> <span class="mf">2.0</span><span class="p">,</span> <span class="s2">"speaker_1"</span><span class="p">),</span>
+        <span class="p">(</span><span class="mf">2.0</span><span class="p">,</span> <span class="mf">3.0</span><span class="p">,</span> <span class="s2">"speaker_0"</span><span class="p">),</span>
+        <span class="o">...</span>
+    <span class="p">],</span>
+    <span class="s2">"file_2.wav"</span><span class="p">:</span> <span class="p">[</span>
+        <span class="p">(</span><span class="mf">0.0</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">,</span> <span class="s2">"speaker_0"</span><span class="p">),</span>
+        <span class="p">(</span><span class="mf">1.0</span><span class="p">,</span> <span class="mf">2.0</span><span class="p">,</span> <span class="s2">"speaker_1"</span><span class="p">),</span>
+        <span class="p">(</span><span class="mf">2.0</span><span class="p">,</span> <span class="mf">3.0</span><span class="p">,</span> <span class="s2">"speaker_0"</span><span class="p">),</span>
+        <span class="o">...</span>
+    <span class="p">],</span>
+    <span class="o">...</span>
+<span class="p">}</span>
+</pre></div>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data_path</strong> – The path to the audio files to diarize. Can be a path to a single file, a path to a
+directory or a list of paths to files.</p></li>
+<li><p><strong>use_onnx</strong> – Whether to use ONNX for inference. Default is True.</p></li>
+<li><p><strong>force_onnx_cpu</strong> – Whether to force ONNX to use CPU for inference. Default is True.</p></li>
+<li><p><strong>threshold</strong> – Speech threshold. Silero VAD outputs speech probabilities for each audio chunk,
+probabilities ABOVE this value are considered as SPEECH. It is better to tune
+this parameter for each dataset separately, but “lazy” 0.5 is pretty good for
+most datasets.</p></li>
+<li><p><strong>sampling_rate</strong> – Currently, silero VAD models support 8000 and 16000 sample rates.</p></li>
+<li><p><strong>min_speech_duration_ms</strong> – Final speech chunks shorter min_speech_duration_ms are thrown out.</p></li>
+<li><p><strong>max_speech_duration_s</strong> – Maximum duration of speech chunks in seconds. Chunks longer than
+<cite>max_speech_duration_s</cite> will be split at the timestamp of the last silence that
+lasts more than 100ms (if any), to prevent aggressive cutting. Otherwise, they will
+be split aggressively just before max_speech_duration_s.</p></li>
+<li><p><strong>min_silence_duration_ms</strong> – In the end of each speech chunk wait for min_silence_duration_ms before separating
+it.</p></li>
+<li><p><strong>window_size_samples</strong> – <p>Audio chunks of window_size_samples size are fed to the silero VAD model.</p>
+<p>WARNING! Silero VAD models were trained using 512, 1024, 1536 samples for 16000
+sample rate and 256, 512, 768 samples for 8000 sample rate. Values other than
+these may affect model performance!</p>
+</p></li>
+<li><p><strong>speech_pad_ms</strong> – Final speech chunks are padded by speech_pad_ms each side.</p></li>
+<li><p><strong>speaker_labels</strong> – The speaker labels to use for the diarization. If not given, the speakers will be
+named “speaker_0”, “speaker_1”, etc.</p></li>
+<li><p><strong>use_multiprocessing</strong> – The number of workers to use for multiprocessing. If 0, no multiprocessing will
+be used. Default is 0.</p></li>
+<li><p><strong>verbose</strong> – Verbosity.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+</section>
+<section id="module-silero_vad">
+<span id="module-contents"></span><h2>Module contents<a class="headerlink" href="#module-silero_vad" title="Permalink to this headline">#</a></h2>
+</section>
+</section>
+</div>
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new file mode 100644
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+
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new file mode 100644
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+<html lang="en">
+
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+    <title>Source</title>
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+</head>
+
+<body style="background-color:darkgray; margin: 0 0 0 0;">
+    <pre style="margin: 0 1em;">
+        <code class="yaml">
+kind: job
+metadata:
+  name: silero-vad
+  tag: ''
+  hash: 59336f808643a74f3a2c5d506977387010427208
+  project: ''
+  labels:
+    author: guyl
+  categories:
+  - deep-learning
+  - pytorch
+  - audio
+spec:
+  command: ''
+  args: []
+  image: ''
+  build:
+    functionSourceCode: # Copyright 2024 Iguazio
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import logging
from multiprocessing import Process, Queue
from pathlib import Path
from types import FunctionType
from typing import Dict, List, Tuple, Type, Union

import torch
import torchaudio
from tqdm import tqdm


class BaseTask:
    """
    A base class for a task to complete after VAD.
    """

    def __init__(self, audio_file: Path):
        """
        Initialize the base task.

        :param audio_file: The audio file assigned to the task.
        """
        # Store the audio file:
        self._audio_file = audio_file

        # Prepare the result:
        self._result = None

    @property
    def audio_file(self) -> Path:
        """
        Get the audio file of the task.

        :returns: The audio file of the task.
        """
        return self._audio_file

    def do_task(
        self, speech_timestamps: Union[List[Dict[str, int]], List[List[Dict[str, int]]]]
    ):
        """
        Do the task on the given speech timestamps. The base task will simply save the speech timestamps as the result.

        :param speech_timestamps: The speech timestamps to do the task on as outputted from the VAD.
        """
        self._result = speech_timestamps

    def get_result(self) -> Tuple[str, list]:
        """
        Get the result of the task. A tuple of the audio file name and the result.

        :returns: The result of the task.
        """
        return self._audio_file.name, self._result

    def to_tuple(self) -> Tuple[str, dict]:
        """
        Convert the task to a tuple to reconstruct it later (used for multiprocessing to pass in queue).

        :returns: The converted task.
        """
        return self.__class__.__name__, {"audio_file": self._audio_file}


class SpeechDiarizationTask(BaseTask):
    """
    A speech diarization task. The task will diarize the VAD speech timestamps into speakers.
    """

    def __init__(self, audio_file: Path, speaker_labels: List[str]):
        """
        Initialize the speech diarization task.

        :param audio_file:     The audio file assigned to the task.
        :param speaker_labels: The speaker labels to use for the diarization. If not given, the speakers will be named
                               "speaker_0", "speaker_1", etc.
        """
        super().__init__(audio_file=audio_file)
        self._speaker_labels = speaker_labels

    def do_task(self, speech_timestamps: List[List[Dict[str, int]]]):
        """
        Do the task on the given speech timestamps. The task will diarize the VAD speech timestamps into speakers.

        :param speech_timestamps: The speech timestamps per channel to do the task on as outputted from the VAD.
        """
        # Get the speaker labels (set default if not given):
        speaker_labels = self._speaker_labels or [
            f"speaker_{i}" for i in range(len(speech_timestamps))
        ]

        # Diarize - organize the speech timestamps into a single list of speakers and sort it by start time:
        speech_diarization = [
            (speech_timestamp["start"], speech_timestamp["end"], speaker_label)
            for speaker_label, channel_speech_timestamps in zip(
                speaker_labels, speech_timestamps
            )
            for speech_timestamp in channel_speech_timestamps
        ]
        speech_diarization.sort()
        self._result = speech_diarization

    def to_tuple(self) -> Tuple[str, dict]:
        """
        Convert the task to a tuple to reconstruct it later (used for multiprocessing to pass in queue).

        :returns: The converted task.
        """
        task_class, task_kwargs = super().to_tuple()
        return task_class, {**task_kwargs, "speaker_labels": self._speaker_labels}


class TaskCreator:
    """
    A task creator to create different tasks to run after the VAD.
    """

    #: A map from task class name to task class to use in `from_tuple`:
    _MAP = {
        BaseTask.__name__: BaseTask,
        SpeechDiarizationTask.__name__: SpeechDiarizationTask,
    }

    def __init__(self, task_type: Type[BaseTask], task_kwargs: dict = None):
        """
        Initialize the task creator.
        :param task_type: The task type - a `BaseTask` subclass.
        :param task_kwargs: Additional keyword arguments to pass to the to be created tasks.
        """
        self._task_type = task_type
        self._task_kwargs = task_kwargs or {}

    def create_task(self, audio_file: Path) -> BaseTask:
        """
        Create a task with the given audio file.

        :param audio_file: The audio file to assign to the task.

        :returns: The created task.
        """
        return self._task_type(audio_file=audio_file, **self._task_kwargs)

    @classmethod
    def from_tuple(cls, task_tuple: Tuple[str, dict]) -> BaseTask:
        """
        Create a task from a tuple of the audio file name and the task kwargs.

        :param task_tuple: The task tuple to create the task from.

        :returns: The created task.
        """
        task_class, task_kwargs = task_tuple
        return cls._MAP[task_class](**task_kwargs)


class VoiceActivityDetector:
    """
    A voice activity detection wrapper for the silero VAD model - https://github.com/snakers4/silero-vad.
    """

    def __init__(
        self,
        # Model loading kwargs:
        use_onnx: bool = True,
        force_onnx_cpu: bool = True,
        # Detection kwargs:
        threshold: float = 0.5,
        sampling_rate: int = 16_000,
        min_speech_duration_ms: int = 250,
        max_speech_duration_s: float = float("inf"),
        min_silence_duration_ms: int = 100,
        window_size_samples: int = 512,
        speech_pad_ms: int = 30,
        return_seconds: bool = False,
        per_channel: bool = False,
    ):
        """
        Initialize the voice activity detector.

        :param use_onnx:                Whether to use ONNX for inference. Default is True.
        :param force_onnx_cpu:          Whether to force ONNX to use CPU for inference. Default is True.
        :param threshold:               Speech threshold. Silero VAD outputs speech probabilities for each audio chunk,
                                        probabilities ABOVE this value are considered as SPEECH. It is better to tune
                                        this parameter for each dataset separately, but "lazy" 0.5 is pretty good for
                                        most datasets.
        :param sampling_rate:           Currently, silero VAD models support 8000 and 16000 sample rates.
        :param min_speech_duration_ms:  Final speech chunks shorter min_speech_duration_ms are thrown out.
        :param max_speech_duration_s:   Maximum duration of speech chunks in seconds. Chunks longer than
                                        `max_speech_duration_s` will be split at the timestamp of the last silence that
                                        lasts more than 100ms (if any), to prevent aggressive cutting. Otherwise,
                                        they will be split aggressively just before max_speech_duration_s.
        :param min_silence_duration_ms: In the end of each speech chunk wait for min_silence_duration_ms before
                                        separating it.
        :param window_size_samples:     Audio chunks of window_size_samples size are fed to the silero VAD model.
                                        WARNING! Silero VAD models were trained using 512, 1024, 1536 samples for 16000
                                        sample rate and 256, 512, 768 samples for 8000 sample rate. Values other than
                                        these may affect model performance!
        :param speech_pad_ms:           Final speech chunks are padded by speech_pad_ms each side.
        :param return_seconds:          Whether return timestamps in seconds. False means to return timestamps in
                                        samples (default - False).
        :param per_channel:             Whether to return timestamps per channel (default - False). This will run VAD
                                        on each channel separately and return a list of timestamps per channel.
        """
        # Store configurations:
        self._use_onnx = use_onnx
        self._force_onnx_cpu = force_onnx_cpu
        self._threshold = threshold
        self._sampling_rate = sampling_rate
        self._min_speech_duration_ms = min_speech_duration_ms
        self._max_speech_duration_s = max_speech_duration_s
        self._min_silence_duration_ms = min_silence_duration_ms
        self._window_size_samples = window_size_samples
        self._speech_pad_ms = speech_pad_ms
        self._return_seconds = return_seconds
        self._per_channel = per_channel

        # Prepare the model variables
        self._model: torch.Module = None
        self._get_speech_timestamps: FunctionType = None

    def load(self, force_reload: bool = True):
        """
        Load the VAD model.

        :param force_reload: Whether to force reload the model even if it was already loaded. Default is True.
        """
        model, utils = torch.hub.load(
            repo_or_dir="snakers4/silero-vad",
            model="silero_vad",
            force_reload=force_reload,
            onnx=self._use_onnx,
            force_onnx_cpu=self._force_onnx_cpu,
        )
        self._model = model
        (
            self._get_speech_timestamps,
            _,  # save_audio,
            _,  # read_audio,
            _,  # VADIterator,
            _,  # collect_chunks
        ) = utils

    def detect_voice(
        self,
        audio_file: Path,
    ) -> Union[List[Dict[str, int]], List[List[Dict[str, int]]]]:
        """
        Infer the audio through the VAD model and return the speech timestamps.

        :param audio_file: The audio file to infer.

        :returns: The speech timestamps in the audio. A list of timestamps where each timestamp is a dictionary with the
                 following keys:

                 * "start": The start sample index of the speech in the audio.
                 * "end":   The end sample index of the speech in the audio.

                 If `per_channel` is True, a list of timestamps per channel will be returned.
        """
        # Cast to a numpy array:
        audio = self._read_audio(audio_file)

        # Detect speech:
        if not self._per_channel:
            return self._get_speech_timestamps(
                audio,
                self._model,
                threshold=self._threshold,
                min_speech_duration_ms=self._min_speech_duration_ms,
                max_speech_duration_s=self._max_speech_duration_s,
                min_silence_duration_ms=self._min_silence_duration_ms,
                speech_pad_ms=self._speech_pad_ms,
                sampling_rate=self._sampling_rate,
                window_size_samples=self._window_size_samples,
                return_seconds=self._return_seconds,
            )

        # Per channel:
        speech_timestamps = []
        for channel in audio:
            speech_timestamps.append(
                self._get_speech_timestamps(
                    channel,
                    self._model,
                    threshold=self._threshold,
                    min_speech_duration_ms=self._min_speech_duration_ms,
                    max_speech_duration_s=self._max_speech_duration_s,
                    min_silence_duration_ms=self._min_silence_duration_ms,
                    speech_pad_ms=self._speech_pad_ms,
                    sampling_rate=self._sampling_rate,
                    window_size_samples=self._window_size_samples,
                    return_seconds=self._return_seconds,
                )
            )

        return speech_timestamps

    def _read_audio(
        self,
        path: Path,
    ) -> torch.Tensor:
        """
        Read the audio from the given path and return it as a tensor.

        :param path: The path to the audio file.

        :returns: The audio as a tensor.
        """
        # Read the audio:
        audio, sampling_rate = torchaudio.load(str(path))

        # Check if the audio is stereo and if so, convert it to mono (only if not per channel):
        if audio.size(0) > 1 and not self._per_channel:
            audio = audio.mean(dim=0, keepdim=True)

        # Resample the audio if needed:
        if sampling_rate != self._sampling_rate:
            transform = torchaudio.transforms.Resample(
                orig_freq=sampling_rate, new_freq=self._sampling_rate
            )
            audio = transform(audio)

        # Return the audio (squeeze if not per channel):
        return audio if self._per_channel else audio.squeeze(0)


#: The value to send into multiprocessing queues to stop the process:
_MULTIPROCESSING_STOP_MARK = "STOP"


def _multiprocessing_complete_tasks(
    vad_init_kwargs: dict, tasks_queue: Queue, results_queue: Queue
):
    """
    Complete the tasks in the given queue and put the results in the given results queue. The function will stop when
    the given tasks queue will receive the stop mark. It is aimed to be used with multiprocessing as a process.

    :param vad_init_kwargs: The VAD initialization kwargs.
    :param tasks_queue:     A queue to get the tasks from.
    :param results_queue:   A queue to put the results in.
    """
    # Initialize and load the VAD:
    vad = VoiceActivityDetector(**vad_init_kwargs)
    vad.load(force_reload=False)

    # Start listening to the tasks queue:
    while True:
        # Get the task:
        task: Tuple[str, dict] = tasks_queue.get()
        if task == _MULTIPROCESSING_STOP_MARK:
            break
        try:
            # Create the task:
            task = TaskCreator.from_tuple(task_tuple=task)
            # Run the file through the VAD:
            speech_timestamps = vad.detect_voice(audio_file=task.audio_file)
            # Complete the task:
            task.do_task(speech_timestamps=speech_timestamps)
            # Build the result:
            result = (False, task.get_result())
        except Exception as exception:
            # Build the error:
            result = (True, (task.audio_file.name, str(exception)))
        # Collect the result / error:
        results_queue.put(result)

    # Mark the end of the tasks:
    results_queue.put(_MULTIPROCESSING_STOP_MARK)


# Get the global logger:
try:
    import mlrun

    _LOGGER = mlrun.get_or_create_ctx("silero_vad").logger
except ModuleNotFoundError:
    _LOGGER = logging.getLogger()


def detect_voice(
    # Input kwargs:
    data_path: Union[str, Path, List[Union[str, Path]]],
    # Model loading kwargs:
    use_onnx: bool = True,
    force_onnx_cpu: bool = True,
    # Detection kwargs:
    threshold: float = 0.5,
    sampling_rate: int = 16_000,
    min_speech_duration_ms: int = 250,
    max_speech_duration_s: float = float("inf"),
    min_silence_duration_ms: int = 100,
    window_size_samples: int = 512,
    speech_pad_ms: int = 30,
    return_seconds: bool = False,
    per_channel: bool = False,
    # Other kwargs:
    use_multiprocessing: int = 0,
    verbose: bool = False,
):
    """
    Perform voice activity detection on given audio files using the silero VAD model -
    https://github.com/snakers4/silero-vad. The end result is a dictionary with the file names as keys and their
    VAD timestamps dictionaries as value.

    For example::

        {
            "file_1.wav": [
                {"start": 0, "end": 16000},
                {"start": 16000, "end": 32000},
                {"start": 32000, "end": 48000},
                ...
            ],
            "file_2.wav": [
                {"start": 0, "end": 16000},
                {"start": 16000, "end": 32000},
                {"start": 32000, "end": 48000},
                ...
            ],
            ...
        }


    :param data_path:               The path to the audio files to diarize. Can be a path to a single file, a path to a
                                    directory or a list of paths to files.
    :param use_onnx:                Whether to use ONNX for inference. Default is True.
    :param force_onnx_cpu:          Whether to force ONNX to use CPU for inference. Default is True.
    :param threshold:               Speech threshold. Silero VAD outputs speech probabilities for each audio chunk,
                                    probabilities ABOVE this value are considered as SPEECH. It is better to tune
                                    this parameter for each dataset separately, but "lazy" 0.5 is pretty good for
                                    most datasets.
    :param sampling_rate:           Currently, silero VAD models support 8000 and 16000 sample rates.
    :param min_speech_duration_ms:  Final speech chunks shorter min_speech_duration_ms are thrown out.
    :param max_speech_duration_s:   Maximum duration of speech chunks in seconds. Chunks longer than
                                    `max_speech_duration_s` will be split at the timestamp of the last silence that
                                    lasts more than 100ms (if any), to prevent aggressive cutting. Otherwise, they will
                                    be split aggressively just before max_speech_duration_s.
    :param min_silence_duration_ms: In the end of each speech chunk wait for min_silence_duration_ms before separating
                                    it.
    :param window_size_samples:     Audio chunks of window_size_samples size are fed to the silero VAD model.

                                    WARNING! Silero VAD models were trained using 512, 1024, 1536 samples for 16000
                                    sample rate and 256, 512, 768 samples for 8000 sample rate. Values other than
                                    these may affect model performance!
    :param speech_pad_ms:           Final speech chunks are padded by speech_pad_ms each side.
    :param return_seconds:          Whether return timestamps in seconds. False means to return timestamps in samples
                                    (default - False).
    :param per_channel:             Whether to return timestamps per channel (default - False). This will run VAD on
                                    each channel separately and return a list of timestamps per channel.
    :param use_multiprocessing:     The number of workers to use for multiprocessing. If 0, no multiprocessing will
                                    be used. Default is 0.
    :param verbose:                 Verbosity.
    """
    global _LOGGER

    # Get the input audio files to transcribe:
    if verbose:
        _LOGGER.info("Collecting audio files.")
    audio_files = _get_audio_files(data_path=data_path)
    if verbose:
        _LOGGER.info(f"Collected {len(audio_files)} audio files.")

    # Initialize the transcription pipeline:
    vad_init_kwargs = {
        "use_onnx": use_onnx,
        "force_onnx_cpu": force_onnx_cpu,
        "threshold": threshold,
        "sampling_rate": sampling_rate,
        "min_speech_duration_ms": min_speech_duration_ms,
        "max_speech_duration_s": max_speech_duration_s,
        "min_silence_duration_ms": min_silence_duration_ms,
        "window_size_samples": window_size_samples,
        "speech_pad_ms": speech_pad_ms,
        "return_seconds": return_seconds,
        "per_channel": per_channel,
    }

    # Create the task creator:
    task_creator = TaskCreator(task_type=BaseTask)

    # Run the transcription:
    if use_multiprocessing:
        results = _parallel_run(
            n_workers=use_multiprocessing,
            audio_files=audio_files,
            description="Detecting voice",
            vad_init_kwargs=vad_init_kwargs,
            task_creator=task_creator,
            verbose=verbose,
        )
    else:
        results = _run(
            audio_files=audio_files,
            description="Detecting voice",
            vad_init_kwargs=vad_init_kwargs,
            task_creator=task_creator,
            verbose=verbose,
        )

    # Process the results:
    return _process_results(results=results, verbose=verbose)


def diarize(
    # Input / Output kwargs:
    data_path: Union[str, Path, List[Union[str, Path]]],
    # Model loading kwargs:
    use_onnx: bool = True,
    force_onnx_cpu: bool = True,
    # Detection kwargs:
    threshold: float = 0.5,
    sampling_rate: int = 16_000,
    min_speech_duration_ms: int = 250,
    max_speech_duration_s: float = float("inf"),
    min_silence_duration_ms: int = 100,
    window_size_samples: int = 512,
    speech_pad_ms: int = 30,
    # Diarization kwargs:
    speaker_labels: List[str] = None,
    # Other kwargs:
    use_multiprocessing: int = 0,
    verbose: bool = False,
):
    """
    Perform speech diarization on given audio files using the silero VAD model - https://github.com/snakers4/silero-vad.
    The speech diarization is performed per channel so that each channel in the audio belong to a different speaker. The
    end result is a dictionary with the file names as keys and their diarization as value. A diarization is a list
    of tuples: (start, end, speaker_label).

    For example::

        {
            "file_1.wav": [
                (0.0, 1.0, "speaker_0"),
                (1.0, 2.0, "speaker_1"),
                (2.0, 3.0, "speaker_0"),
                ...
            ],
            "file_2.wav": [
                (0.0, 1.0, "speaker_0"),
                (1.0, 2.0, "speaker_1"),
                (2.0, 3.0, "speaker_0"),
                ...
            ],
            ...
        }


    :param data_path:               The path to the audio files to diarize. Can be a path to a single file, a path to a
                                    directory or a list of paths to files.
    :param use_onnx:                Whether to use ONNX for inference. Default is True.
    :param force_onnx_cpu:          Whether to force ONNX to use CPU for inference. Default is True.
    :param threshold:               Speech threshold. Silero VAD outputs speech probabilities for each audio chunk,
                                    probabilities ABOVE this value are considered as SPEECH. It is better to tune
                                    this parameter for each dataset separately, but "lazy" 0.5 is pretty good for
                                    most datasets.
    :param sampling_rate:           Currently, silero VAD models support 8000 and 16000 sample rates.
    :param min_speech_duration_ms:  Final speech chunks shorter min_speech_duration_ms are thrown out.
    :param max_speech_duration_s:   Maximum duration of speech chunks in seconds. Chunks longer than
                                    `max_speech_duration_s` will be split at the timestamp of the last silence that
                                    lasts more than 100ms (if any), to prevent aggressive cutting. Otherwise, they will
                                    be split aggressively just before max_speech_duration_s.
    :param min_silence_duration_ms: In the end of each speech chunk wait for min_silence_duration_ms before separating
                                    it.
    :param window_size_samples:     Audio chunks of window_size_samples size are fed to the silero VAD model.

                                    WARNING! Silero VAD models were trained using 512, 1024, 1536 samples for 16000
                                    sample rate and 256, 512, 768 samples for 8000 sample rate. Values other than
                                    these may affect model performance!
    :param speech_pad_ms:           Final speech chunks are padded by speech_pad_ms each side.
    :param speaker_labels:          The speaker labels to use for the diarization. If not given, the speakers will be
                                    named "speaker_0", "speaker_1", etc.
    :param use_multiprocessing:     The number of workers to use for multiprocessing. If 0, no multiprocessing will
                                    be used. Default is 0.
    :param verbose:                 Verbosity.
    """
    global _LOGGER

    # Get the input audio files to transcribe:
    if verbose:
        _LOGGER.info("Collecting audio files.")
    audio_files = _get_audio_files(data_path=data_path)
    if verbose:
        _LOGGER.info(f"Collected {len(audio_files)} audio files.")

    # Initialize the transcription pipeline:
    vad_init_kwargs = {
        "use_onnx": use_onnx,
        "force_onnx_cpu": force_onnx_cpu,
        "threshold": threshold,
        "sampling_rate": sampling_rate,
        "min_speech_duration_ms": min_speech_duration_ms,
        "max_speech_duration_s": max_speech_duration_s,
        "min_silence_duration_ms": min_silence_duration_ms,
        "window_size_samples": window_size_samples,
        "speech_pad_ms": speech_pad_ms,
        "return_seconds": True,
        "per_channel": True,
    }

    # Create the task creator:
    task_creator = TaskCreator(
        task_type=SpeechDiarizationTask, task_kwargs={"speaker_labels": speaker_labels}
    )

    # Run the transcription:
    if use_multiprocessing:
        results = _parallel_run(
            n_workers=use_multiprocessing,
            audio_files=audio_files,
            description="Diarizing",
            vad_init_kwargs=vad_init_kwargs,
            task_creator=task_creator,
            verbose=verbose,
        )
    else:
        results = _run(
            audio_files=audio_files,
            description="Diarizing",
            vad_init_kwargs=vad_init_kwargs,
            task_creator=task_creator,
            verbose=verbose,
        )

    # Process the results:
    return _process_results(results=results, verbose=verbose)


def _get_audio_files(
    data_path: Union[Path, str, list],
) -> List[Path]:
    """
    Get the audio files from the data path. If a path to a directory is given, all files in the directory will be
    collected.

    :param data_path: The data path to collect the audio files from.

    :returns: The audio files list.
    """
    # Check if given a list of paths:
    if isinstance(data_path, list):
        audio_files = []
        for path in data_path:
            audio_files.extend(_get_audio_files(data_path=path))
        return audio_files

    # Check if given a single string path to cast it to a `pathlib.Path`:
    if isinstance(data_path, str):
        data_path = Path(data_path).absolute()

    # Check if the path is of a directory or a file:
    if data_path.is_dir():
        # Get all files inside the directory:
        audio_files = list(data_path.glob("*.*"))
    elif data_path.is_file():
        audio_files = [data_path]
    else:
        raise ValueError(
            f"Unrecognized data path. The parameter `data_path` must be a valid path to either a directory path or a "
            f"file. Given: {str(data_path)} "
        )

    return audio_files


def _run(
    audio_files: List[Path],
    description: str,
    vad_init_kwargs: dict,
    task_creator: TaskCreator,
    verbose: bool,
) -> List[Tuple[bool, Tuple[str, list]]]:
    """
    Load a VAD and use it to complete the tasks that will be created on the provided files using the given task creator.

    :param audio_files:     The audio files to use.
    :param description:     The description to use for the progress bar.
    :param vad_init_kwargs: The VAD initialization keyword arguments.
    :param task_creator:    The task creator to use to create the tasks.
    :param verbose:         Verbosity.

    :returns: The collected results.
    """
    # Load the VAD:
    vad = VoiceActivityDetector(**vad_init_kwargs)
    if verbose:
        _LOGGER.info(f"Loading the VAD model.")
    vad.load()
    if verbose:
        _LOGGER.info("VAD model loaded.")

    # Run the VAD on the audio files and collect the results:
    results = []
    for audio_file in tqdm(
        audio_files,
        desc=description,
        unit="file",
        total=len(audio_files),
        disable=not verbose,
    ):
        try:
            # Create the task:
            task = task_creator.create_task(audio_file=audio_file)
            # Run the file through the VAD:
            speech_timestamps = vad.detect_voice(audio_file=audio_file)
            # Complete the task:
            task.do_task(speech_timestamps=speech_timestamps)
            # Collect the result:
            results.append((False, task.get_result()))
        except Exception as exception:
            # Collect the error:
            results.append((True, (audio_file.name, str(exception))))

    return results


def _parallel_run(
    n_workers: int,
    audio_files: List[Path],
    description: str,
    vad_init_kwargs: dict,
    task_creator: TaskCreator,
    verbose: bool,
) -> List[Tuple[bool, Tuple[str, list]]]:
    """
    Run multiple VAD workers with multiprocessing to complete the tasks that will be created on the provided files using
    the given task creator.

    :param n_workers:       The number of workers to use.
    :param audio_files:     The audio files to use.
    :param description:     The description to use for the progress bar.
    :param vad_init_kwargs: The VAD initialization keyword arguments.
    :param task_creator:    The task creator to use to create the tasks.
    :param verbose:         Verbosity.

    :returns: The collected results.
    """
    # Load the VAD (download once, and it will be loaded then per process later on):
    if verbose:
        _LOGGER.info(f"Loading the VAD model.")
    vad = VoiceActivityDetector(**vad_init_kwargs)
    vad.load()
    if verbose:
        _LOGGER.info("VAD model loaded.")

    # Check the number of workers:
    if n_workers > len(audio_files):
        _LOGGER.warning(
            f"The number of workers ({n_workers}) is larger than the number of audio files ({len(audio_files)}). "
            f"Setting the number of workers to {len(audio_files)}."
        )
        n_workers = len(audio_files)

    # Initialize the multiprocessing queues:
    tasks_queue = Queue()
    results_queue = Queue()

    # Initialize the multiprocessing processes:
    task_completion_processes = [
        Process(
            target=_multiprocessing_complete_tasks,
            kwargs={
                "vad_init_kwargs": vad_init_kwargs,
                "tasks_queue": tasks_queue,
                "results_queue": results_queue,
            },
        )
        for _ in range(n_workers)
    ]

    # Start the multiprocessing processes:
    for p in task_completion_processes:
        p.start()

    # Put the tasks in the queue:
    for audio_file in audio_files:
        tasks_queue.put(task_creator.create_task(audio_file=audio_file).to_tuple())

    # Put the stop marks in the queue:
    for _ in range(n_workers):
        tasks_queue.put(_MULTIPROCESSING_STOP_MARK)

    # Collect the results:
    results = []
    stop_marks_counter = 0
    with tqdm(
        desc=description,
        unit="file",
        total=len(audio_files),
        disable=not verbose,
    ) as progressbar:
        while True:
            # Get a result from the queue:
            result: Tuple[bool, Tuple[str, list]] = results_queue.get()
            if result == _MULTIPROCESSING_STOP_MARK:
                stop_marks_counter += 1
                if stop_marks_counter == n_workers:
                    break
            else:
                # Collect the result:
                results.append(result)
                progressbar.update(1)

    # Wait for the processes to finish:
    for p in task_completion_processes:
        p.join()

    return results


def _process_results(
    results: List[Tuple[bool, Tuple[str, list]]], verbose: bool
) -> Tuple[dict, dict]:
    """
    Process the results of the tasks.

    :param results: The results to process.
    :param verbose: Verbosity.

    :returns: The processed results as a tuple of successes and errors.
    """
    if verbose:
        _LOGGER.info("Summarizing the results.")
    successes = {}
    errors = {}
    for is_error, result in results:
        if is_error:
            errors[result[0]] = result[1]
        else:
            successes[result[0]] = result[1]
    if verbose:
        _LOGGER.info(f"Done ({len(successes)}/{len(successes) + len(errors)})\n")

    return successes, errors

+    base_image: mlrun/mlrun
+    commands: []
+    code_origin: ''
+    origin_filename: ''
+    requirements:
+    - torch
+    - torchaudio
+    - tqdm
+    - onnxruntime
+  entry_points:
+    audio_file:
+      name: audio_file
+      doc: Get the audio file of the task.
+      parameters:
+      - name: self
+      outputs:
+      - doc: The audio file of the task.
+        type: Path
+      lineno: 43
+      has_varargs: false
+      has_kwargs: false
+    do_task:
+      name: do_task
+      doc: Do the task on the given speech timestamps. The task will diarize the VAD
+        speech timestamps into speakers.
+      parameters:
+      - name: self
+      - name: speech_timestamps
+        type: List[List[Dict[str, int]]]
+        doc: The speech timestamps per channel to do the task on as outputted from
+          the VAD.
+      outputs: []
+      lineno: 94
+      has_varargs: false
+      has_kwargs: false
+    get_result:
+      name: get_result
+      doc: Get the result of the task. A tuple of the audio file name and the result.
+      parameters:
+      - name: self
+      outputs:
+      - doc: The result of the task.
+        type: Tuple[str, list]
+      lineno: 61
+      has_varargs: false
+      has_kwargs: false
+    to_tuple:
+      name: to_tuple
+      doc: Convert the task to a tuple to reconstruct it later (used for multiprocessing
+        to pass in queue).
+      parameters:
+      - name: self
+      outputs:
+      - doc: The converted task.
+        type: Tuple[str, dict]
+      lineno: 116
+      has_varargs: false
+      has_kwargs: false
+    create_task:
+      name: create_task
+      doc: Create a task with the given audio file.
+      parameters:
+      - name: self
+      - name: audio_file
+        type: Path
+        doc: The audio file to assign to the task.
+      outputs:
+      - doc: The created task.
+        type: BaseTask
+      lineno: 146
+      has_varargs: false
+      has_kwargs: false
+    from_tuple:
+      name: from_tuple
+      doc: Create a task from a tuple of the audio file name and the task kwargs.
+      parameters:
+      - name: cls
+      - name: task_tuple
+        type: Tuple[str, dict]
+        doc: The task tuple to create the task from.
+      outputs:
+      - doc: The created task.
+        type: BaseTask
+      lineno: 157
+      has_varargs: false
+      has_kwargs: false
+    load:
+      name: load
+      doc: Load the VAD model.
+      parameters:
+      - name: self
+      - name: force_reload
+        type: bool
+        doc: Whether to force reload the model even if it was already loaded. Default
+          is True.
+        default: true
+      outputs: []
+      lineno: 234
+      has_varargs: false
+      has_kwargs: false
+    detect_voice:
+      name: detect_voice
+      doc: "Perform voice activity detection on given audio files using the silero\
+        \ VAD model -\nhttps://github.com/snakers4/silero-vad. The end result is a\
+        \ dictionary with the file names as keys and their\nVAD timestamps dictionaries\
+        \ as value.\n\nFor example::\n\n    {\n        \"file_1.wav\": [\n       \
+        \     {\"start\": 0, \"end\": 16000},\n            {\"start\": 16000, \"end\"\
+        : 32000},\n            {\"start\": 32000, \"end\": 48000},\n            ...\n\
+        \        ],\n        \"file_2.wav\": [\n            {\"start\": 0, \"end\"\
+        : 16000},\n            {\"start\": 16000, \"end\": 32000},\n            {\"\
+        start\": 32000, \"end\": 48000},\n            ...\n        ],\n        ...\n\
+        \    }"
+      parameters:
+      - name: data_path
+        type: Union[str, Path, List[Union[str, Path]]]
+        doc: The path to the audio files to diarize. Can be a path to a single file,
+          a path to a directory or a list of paths to files.
+      - name: use_onnx
+        type: bool
+        doc: Whether to use ONNX for inference. Default is True.
+        default: true
+      - name: force_onnx_cpu
+        type: bool
+        doc: Whether to force ONNX to use CPU for inference. Default is True.
+        default: true
+      - name: threshold
+        type: float
+        doc: Speech threshold. Silero VAD outputs speech probabilities for each audio
+          chunk, probabilities ABOVE this value are considered as SPEECH. It is better
+          to tune this parameter for each dataset separately, but "lazy" 0.5 is pretty
+          good for most datasets.
+        default: 0.5
+      - name: sampling_rate
+        type: int
+        doc: Currently, silero VAD models support 8000 and 16000 sample rates.
+        default: 16000
+      - name: min_speech_duration_ms
+        type: int
+        doc: Final speech chunks shorter min_speech_duration_ms are thrown out.
+        default: 250
+      - name: max_speech_duration_s
+        type: float
+        doc: Maximum duration of speech chunks in seconds. Chunks longer than `max_speech_duration_s`
+          will be split at the timestamp of the last silence that lasts more than
+          100ms (if any), to prevent aggressive cutting. Otherwise, they will be split
+          aggressively just before max_speech_duration_s.
+        default: float('inf')
+      - name: min_silence_duration_ms
+        type: int
+        doc: In the end of each speech chunk wait for min_silence_duration_ms before
+          separating it.
+        default: 100
+      - name: window_size_samples
+        type: int
+        doc: Audio chunks of window_size_samples size are fed to the silero VAD model.
+        default: 512
+      - name: speech_pad_ms
+        type: int
+        doc: Final speech chunks are padded by speech_pad_ms each side.
+        default: 30
+      - name: return_seconds
+        type: bool
+        doc: Whether return timestamps in seconds. False means to return timestamps
+          in samples (default - False).
+        default: false
+      - name: per_channel
+        type: bool
+        doc: Whether to return timestamps per channel (default - False). This will
+          run VAD on each channel separately and return a list of timestamps per channel.
+        default: false
+      - name: use_multiprocessing
+        type: int
+        doc: The number of workers to use for multiprocessing. If 0, no multiprocessing
+          will be used. Default is 0.
+        default: 0
+      - name: verbose
+        type: bool
+        doc: Verbosity.
+        default: false
+      outputs: []
+      lineno: 393
+      has_varargs: false
+      has_kwargs: false
+    diarize:
+      name: diarize
+      doc: "Perform speech diarization on given audio files using the silero VAD model\
+        \ - https://github.com/snakers4/silero-vad.\nThe speech diarization is performed\
+        \ per channel so that each channel in the audio belong to a different speaker.\
+        \ The\nend result is a dictionary with the file names as keys and their diarization\
+        \ as value. A diarization is a list\nof tuples: (start, end, speaker_label).\n\
+        \nFor example::\n\n    {\n        \"file_1.wav\": [\n            (0.0, 1.0,\
+        \ \"speaker_0\"),\n            (1.0, 2.0, \"speaker_1\"),\n            (2.0,\
+        \ 3.0, \"speaker_0\"),\n            ...\n        ],\n        \"file_2.wav\"\
+        : [\n            (0.0, 1.0, \"speaker_0\"),\n            (1.0, 2.0, \"speaker_1\"\
+        ),\n            (2.0, 3.0, \"speaker_0\"),\n            ...\n        ],\n\
+        \        ...\n    }"
+      parameters:
+      - name: data_path
+        type: Union[str, Path, List[Union[str, Path]]]
+        doc: The path to the audio files to diarize. Can be a path to a single file,
+          a path to a directory or a list of paths to files.
+      - name: use_onnx
+        type: bool
+        doc: Whether to use ONNX for inference. Default is True.
+        default: true
+      - name: force_onnx_cpu
+        type: bool
+        doc: Whether to force ONNX to use CPU for inference. Default is True.
+        default: true
+      - name: threshold
+        type: float
+        doc: Speech threshold. Silero VAD outputs speech probabilities for each audio
+          chunk, probabilities ABOVE this value are considered as SPEECH. It is better
+          to tune this parameter for each dataset separately, but "lazy" 0.5 is pretty
+          good for most datasets.
+        default: 0.5
+      - name: sampling_rate
+        type: int
+        doc: Currently, silero VAD models support 8000 and 16000 sample rates.
+        default: 16000
+      - name: min_speech_duration_ms
+        type: int
+        doc: Final speech chunks shorter min_speech_duration_ms are thrown out.
+        default: 250
+      - name: max_speech_duration_s
+        type: float
+        doc: Maximum duration of speech chunks in seconds. Chunks longer than `max_speech_duration_s`
+          will be split at the timestamp of the last silence that lasts more than
+          100ms (if any), to prevent aggressive cutting. Otherwise, they will be split
+          aggressively just before max_speech_duration_s.
+        default: float('inf')
+      - name: min_silence_duration_ms
+        type: int
+        doc: In the end of each speech chunk wait for min_silence_duration_ms before
+          separating it.
+        default: 100
+      - name: window_size_samples
+        type: int
+        doc: Audio chunks of window_size_samples size are fed to the silero VAD model.
+        default: 512
+      - name: speech_pad_ms
+        type: int
+        doc: Final speech chunks are padded by speech_pad_ms each side.
+        default: 30
+      - name: speaker_labels
+        type: List[str]
+        doc: The speaker labels to use for the diarization. If not given, the speakers
+          will be named "speaker_0", "speaker_1", etc.
+        default: null
+      - name: use_multiprocessing
+        type: int
+        doc: The number of workers to use for multiprocessing. If 0, no multiprocessing
+          will be used. Default is 0.
+        default: 0
+      - name: verbose
+        type: bool
+        doc: Verbosity.
+        default: false
+      outputs: []
+      lineno: 517
+      has_varargs: false
+      has_kwargs: false
+  description: Silero VAD (Voice Activity Detection) functions.
+  default_handler: detect_voice
+  disable_auto_mount: false
+  clone_target_dir: ''
+  env: []
+  priority_class_name: ''
+  preemption_mode: prevent
+  affinity: null
+  tolerations: null
+  security_context: {}
+verbose: false
+
+        </code>
+    </pre>
+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/silero_vad/1.3.0/static/item.html b/functions/master/silero_vad/1.3.0/static/item.html
new file mode 100644
index 00000000..0188aec0
--- /dev/null
+++ b/functions/master/silero_vad/1.3.0/static/item.html
@@ -0,0 +1,52 @@
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta content="IE=edge" http-equiv="X-UA-Compatible">
+    <meta content="width=device-width, initial-scale=1.0" name="viewport">
+    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/styles/atom-one-dark.min.css">
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/highlight.min.js"></script>
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/languages/yaml.min.js"></script>
+    <title>Source</title>
+    <script>hljs.highlightAll();</script>
+</head>
+
+<body style="background-color:darkgray; margin: 0 0 0 0;">
+    <pre style="margin: 0 1em;">
+        <code class="yaml">
+apiVersion: v1
+categories:
+- deep-learning
+- pytorch
+- audio
+description: Silero VAD (Voice Activity Detection) functions.
+doc: ''
+example: silero_vad.ipynb
+generationDate: 2023-12-03:14-30
+hidden: false
+icon: ''
+labels:
+  author: guyl
+maintainers: []
+marketplaceType: ''
+mlrunVersion: 1.5.2
+name: silero_vad
+platformVersion: 3.5.3
+spec:
+  filename: silero_vad.py
+  handler: detect_voice
+  image: mlrun/mlrun
+  kind: job
+  requirements:
+  - torch
+  - torchaudio
+  - tqdm
+  - onnxruntime
+url: ''
+version: 1.3.0
+
+        </code>
+    </pre>
+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/silero_vad/1.3.0/static/silero_vad.html b/functions/master/silero_vad/1.3.0/static/silero_vad.html
new file mode 100644
index 00000000..ae769dad
--- /dev/null
+++ b/functions/master/silero_vad/1.3.0/static/silero_vad.html
@@ -0,0 +1,987 @@
+
+<!DOCTYPE html>
+
+<html lang="en">
+<head>
+<meta charset="utf-8"/>
+<meta content="width=device-width, initial-scale=1.0" name="viewport"/>
+<title>silero_vad.silero_vad</title>
+<!-- Loaded before other Sphinx assets -->
+<link href="../../../_static/styles/theme.css?digest=1999514e3f237ded88cf" rel="stylesheet"/>
+<link href="../../../_static/styles/pydata-sphinx-theme.css?digest=1999514e3f237ded88cf" rel="stylesheet"/>
+<link href="../../../_static/vendor/fontawesome/5.13.0/css/all.min.css" rel="stylesheet"/>
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+<link href="../../../_static/pygments.css" rel="stylesheet" type="text/css">
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+<link href="../../../_static/togglebutton.css" rel="stylesheet" type="text/css">
+<!-- Pre-loaded scripts that we'll load fully later -->
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+<script src="../../../_static/scripts/sphinx-book-theme.js?digest=9c920249402e914e316237a7dbc6769907cce411"></script>
+<script data-url_root="../../" id="documentation_options" src="../../../_static/documentation_options.js"></script>
+<script src="../../../_static/jquery.js"></script>
+<script src="../../../_static/underscore.js"></script>
+<script src="../../../_static/doctools.js"></script>
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+<main id="main-content" role="main">
+<div>
+<h1>Source code for silero_vad.silero_vad</h1><div class="highlight"><pre>
+<span></span><span class="c1"># Copyright 2024 Iguazio</span>
+<span class="c1">#</span>
+<span class="c1"># Licensed under the Apache License, Version 2.0 (the "License");</span>
+<span class="c1"># you may not use this file except in compliance with the License.</span>
+<span class="c1"># You may obtain a copy of the License at</span>
+<span class="c1">#</span>
+<span class="c1">#   http://www.apache.org/licenses/LICENSE-2.0</span>
+<span class="c1">#</span>
+<span class="c1"># Unless required by applicable law or agreed to in writing, software</span>
+<span class="c1"># distributed under the License is distributed on an "AS IS" BASIS,</span>
+<span class="c1"># WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.</span>
+<span class="c1"># See the License for the specific language governing permissions and</span>
+<span class="c1"># limitations under the License.</span>
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">from</span> <span class="nn">multiprocessing</span> <span class="kn">import</span> <span class="n">Process</span><span class="p">,</span> <span class="n">Queue</span>
+<span class="kn">from</span> <span class="nn">pathlib</span> <span class="kn">import</span> <span class="n">Path</span>
+<span class="kn">from</span> <span class="nn">types</span> <span class="kn">import</span> <span class="n">FunctionType</span>
+<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Dict</span><span class="p">,</span> <span class="n">List</span><span class="p">,</span> <span class="n">Tuple</span><span class="p">,</span> <span class="n">Type</span><span class="p">,</span> <span class="n">Union</span>
+
+<span class="kn">import</span> <span class="nn">torch</span>
+<span class="kn">import</span> <span class="nn">torchaudio</span>
+<span class="kn">from</span> <span class="nn">tqdm</span> <span class="kn">import</span> <span class="n">tqdm</span>
+
+
+<div class="viewcode-block" id="BaseTask"><a class="viewcode-back" href="documentation.html#silero_vad.silero_vad.BaseTask">[docs]</a><span class="k">class</span> <span class="nc">BaseTask</span><span class="p">:</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    A base class for a task to complete after VAD.</span>
+<span class="sd">    """</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">audio_file</span><span class="p">:</span> <span class="n">Path</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Initialize the base task.</span>
+
+<span class="sd">        :param audio_file: The audio file assigned to the task.</span>
+<span class="sd">        """</span>
+        <span class="c1"># Store the audio file:</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_audio_file</span> <span class="o">=</span> <span class="n">audio_file</span>
+
+        <span class="c1"># Prepare the result:</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_result</span> <span class="o">=</span> <span class="kc">None</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">audio_file</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Path</span><span class="p">:</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Get the audio file of the task.</span>
+
+<span class="sd">        :returns: The audio file of the task.</span>
+<span class="sd">        """</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_audio_file</span>
+
+<div class="viewcode-block" id="BaseTask.do_task"><a class="viewcode-back" href="documentation.html#silero_vad.silero_vad.BaseTask.do_task">[docs]</a>    <span class="k">def</span> <span class="nf">do_task</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span> <span class="n">speech_timestamps</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">int</span><span class="p">]],</span> <span class="n">List</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">int</span><span class="p">]]]]</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Do the task on the given speech timestamps. The base task will simply save the speech timestamps as the result.</span>
+
+<span class="sd">        :param speech_timestamps: The speech timestamps to do the task on as outputted from the VAD.</span>
+<span class="sd">        """</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_result</span> <span class="o">=</span> <span class="n">speech_timestamps</span></div>
+
+<div class="viewcode-block" id="BaseTask.get_result"><a class="viewcode-back" href="documentation.html#silero_vad.silero_vad.BaseTask.get_result">[docs]</a>    <span class="k">def</span> <span class="nf">get_result</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">list</span><span class="p">]:</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Get the result of the task. A tuple of the audio file name and the result.</span>
+
+<span class="sd">        :returns: The result of the task.</span>
+<span class="sd">        """</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_audio_file</span><span class="o">.</span><span class="n">name</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">_result</span></div>
+
+<div class="viewcode-block" id="BaseTask.to_tuple"><a class="viewcode-back" href="documentation.html#silero_vad.silero_vad.BaseTask.to_tuple">[docs]</a>    <span class="k">def</span> <span class="nf">to_tuple</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">dict</span><span class="p">]:</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Convert the task to a tuple to reconstruct it later (used for multiprocessing to pass in queue).</span>
+
+<span class="sd">        :returns: The converted task.</span>
+<span class="sd">        """</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="vm">__class__</span><span class="o">.</span><span class="vm">__name__</span><span class="p">,</span> <span class="p">{</span><span class="s2">"audio_file"</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">_audio_file</span><span class="p">}</span></div></div>
+
+
+<div class="viewcode-block" id="SpeechDiarizationTask"><a class="viewcode-back" href="documentation.html#silero_vad.silero_vad.SpeechDiarizationTask">[docs]</a><span class="k">class</span> <span class="nc">SpeechDiarizationTask</span><span class="p">(</span><span class="n">BaseTask</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    A speech diarization task. The task will diarize the VAD speech timestamps into speakers.</span>
+<span class="sd">    """</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">audio_file</span><span class="p">:</span> <span class="n">Path</span><span class="p">,</span> <span class="n">speaker_labels</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">]):</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Initialize the speech diarization task.</span>
+
+<span class="sd">        :param audio_file:     The audio file assigned to the task.</span>
+<span class="sd">        :param speaker_labels: The speaker labels to use for the diarization. If not given, the speakers will be named</span>
+<span class="sd">                               "speaker_0", "speaker_1", etc.</span>
+<span class="sd">        """</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">audio_file</span><span class="o">=</span><span class="n">audio_file</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_speaker_labels</span> <span class="o">=</span> <span class="n">speaker_labels</span>
+
+<div class="viewcode-block" id="SpeechDiarizationTask.do_task"><a class="viewcode-back" href="documentation.html#silero_vad.silero_vad.SpeechDiarizationTask.do_task">[docs]</a>    <span class="k">def</span> <span class="nf">do_task</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">speech_timestamps</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">int</span><span class="p">]]]):</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Do the task on the given speech timestamps. The task will diarize the VAD speech timestamps into speakers.</span>
+
+<span class="sd">        :param speech_timestamps: The speech timestamps per channel to do the task on as outputted from the VAD.</span>
+<span class="sd">        """</span>
+        <span class="c1"># Get the speaker labels (set default if not given):</span>
+        <span class="n">speaker_labels</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_speaker_labels</span> <span class="ow">or</span> <span class="p">[</span>
+            <span class="sa">f</span><span class="s2">"speaker_</span><span class="si">{</span><span class="n">i</span><span class="si">}</span><span class="s2">"</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">speech_timestamps</span><span class="p">))</span>
+        <span class="p">]</span>
+
+        <span class="c1"># Diarize - organize the speech timestamps into a single list of speakers and sort it by start time:</span>
+        <span class="n">speech_diarization</span> <span class="o">=</span> <span class="p">[</span>
+            <span class="p">(</span><span class="n">speech_timestamp</span><span class="p">[</span><span class="s2">"start"</span><span class="p">],</span> <span class="n">speech_timestamp</span><span class="p">[</span><span class="s2">"end"</span><span class="p">],</span> <span class="n">speaker_label</span><span class="p">)</span>
+            <span class="k">for</span> <span class="n">speaker_label</span><span class="p">,</span> <span class="n">channel_speech_timestamps</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span>
+                <span class="n">speaker_labels</span><span class="p">,</span> <span class="n">speech_timestamps</span>
+            <span class="p">)</span>
+            <span class="k">for</span> <span class="n">speech_timestamp</span> <span class="ow">in</span> <span class="n">channel_speech_timestamps</span>
+        <span class="p">]</span>
+        <span class="n">speech_diarization</span><span class="o">.</span><span class="n">sort</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_result</span> <span class="o">=</span> <span class="n">speech_diarization</span></div>
+
+<div class="viewcode-block" id="SpeechDiarizationTask.to_tuple"><a class="viewcode-back" href="documentation.html#silero_vad.silero_vad.SpeechDiarizationTask.to_tuple">[docs]</a>    <span class="k">def</span> <span class="nf">to_tuple</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">dict</span><span class="p">]:</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Convert the task to a tuple to reconstruct it later (used for multiprocessing to pass in queue).</span>
+
+<span class="sd">        :returns: The converted task.</span>
+<span class="sd">        """</span>
+        <span class="n">task_class</span><span class="p">,</span> <span class="n">task_kwargs</span> <span class="o">=</span> <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="n">to_tuple</span><span class="p">()</span>
+        <span class="k">return</span> <span class="n">task_class</span><span class="p">,</span> <span class="p">{</span><span class="o">**</span><span class="n">task_kwargs</span><span class="p">,</span> <span class="s2">"speaker_labels"</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">_speaker_labels</span><span class="p">}</span></div></div>
+
+
+<div class="viewcode-block" id="TaskCreator"><a class="viewcode-back" href="documentation.html#silero_vad.silero_vad.TaskCreator">[docs]</a><span class="k">class</span> <span class="nc">TaskCreator</span><span class="p">:</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    A task creator to create different tasks to run after the VAD.</span>
+<span class="sd">    """</span>
+
+    <span class="c1">#: A map from task class name to task class to use in `from_tuple`:</span>
+    <span class="n">_MAP</span> <span class="o">=</span> <span class="p">{</span>
+        <span class="n">BaseTask</span><span class="o">.</span><span class="vm">__name__</span><span class="p">:</span> <span class="n">BaseTask</span><span class="p">,</span>
+        <span class="n">SpeechDiarizationTask</span><span class="o">.</span><span class="vm">__name__</span><span class="p">:</span> <span class="n">SpeechDiarizationTask</span><span class="p">,</span>
+    <span class="p">}</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">task_type</span><span class="p">:</span> <span class="n">Type</span><span class="p">[</span><span class="n">BaseTask</span><span class="p">],</span> <span class="n">task_kwargs</span><span class="p">:</span> <span class="nb">dict</span> <span class="o">=</span> <span class="kc">None</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Initialize the task creator.</span>
+<span class="sd">        :param task_type: The task type - a `BaseTask` subclass.</span>
+<span class="sd">        :param task_kwargs: Additional keyword arguments to pass to the to be created tasks.</span>
+<span class="sd">        """</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_task_type</span> <span class="o">=</span> <span class="n">task_type</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_task_kwargs</span> <span class="o">=</span> <span class="n">task_kwargs</span> <span class="ow">or</span> <span class="p">{}</span>
+
+<div class="viewcode-block" id="TaskCreator.create_task"><a class="viewcode-back" href="documentation.html#silero_vad.silero_vad.TaskCreator.create_task">[docs]</a>    <span class="k">def</span> <span class="nf">create_task</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">audio_file</span><span class="p">:</span> <span class="n">Path</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">BaseTask</span><span class="p">:</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Create a task with the given audio file.</span>
+
+<span class="sd">        :param audio_file: The audio file to assign to the task.</span>
+
+<span class="sd">        :returns: The created task.</span>
+<span class="sd">        """</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_task_type</span><span class="p">(</span><span class="n">audio_file</span><span class="o">=</span><span class="n">audio_file</span><span class="p">,</span> <span class="o">**</span><span class="bp">self</span><span class="o">.</span><span class="n">_task_kwargs</span><span class="p">)</span></div>
+
+<div class="viewcode-block" id="TaskCreator.from_tuple"><a class="viewcode-back" href="documentation.html#silero_vad.silero_vad.TaskCreator.from_tuple">[docs]</a>    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">from_tuple</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">task_tuple</span><span class="p">:</span> <span class="n">Tuple</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">dict</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">BaseTask</span><span class="p">:</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Create a task from a tuple of the audio file name and the task kwargs.</span>
+
+<span class="sd">        :param task_tuple: The task tuple to create the task from.</span>
+
+<span class="sd">        :returns: The created task.</span>
+<span class="sd">        """</span>
+        <span class="n">task_class</span><span class="p">,</span> <span class="n">task_kwargs</span> <span class="o">=</span> <span class="n">task_tuple</span>
+        <span class="k">return</span> <span class="bp">cls</span><span class="o">.</span><span class="n">_MAP</span><span class="p">[</span><span class="n">task_class</span><span class="p">](</span><span class="o">**</span><span class="n">task_kwargs</span><span class="p">)</span></div></div>
+
+
+<div class="viewcode-block" id="VoiceActivityDetector"><a class="viewcode-back" href="documentation.html#silero_vad.silero_vad.VoiceActivityDetector">[docs]</a><span class="k">class</span> <span class="nc">VoiceActivityDetector</span><span class="p">:</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    A voice activity detection wrapper for the silero VAD model - https://github.com/snakers4/silero-vad.</span>
+<span class="sd">    """</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="c1"># Model loading kwargs:</span>
+        <span class="n">use_onnx</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
+        <span class="n">force_onnx_cpu</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
+        <span class="c1"># Detection kwargs:</span>
+        <span class="n">threshold</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.5</span><span class="p">,</span>
+        <span class="n">sampling_rate</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">16_000</span><span class="p">,</span>
+        <span class="n">min_speech_duration_ms</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">250</span><span class="p">,</span>
+        <span class="n">max_speech_duration_s</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="nb">float</span><span class="p">(</span><span class="s2">"inf"</span><span class="p">),</span>
+        <span class="n">min_silence_duration_ms</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">100</span><span class="p">,</span>
+        <span class="n">window_size_samples</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">512</span><span class="p">,</span>
+        <span class="n">speech_pad_ms</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">30</span><span class="p">,</span>
+        <span class="n">return_seconds</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
+        <span class="n">per_channel</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Initialize the voice activity detector.</span>
+
+<span class="sd">        :param use_onnx:                Whether to use ONNX for inference. Default is True.</span>
+<span class="sd">        :param force_onnx_cpu:          Whether to force ONNX to use CPU for inference. Default is True.</span>
+<span class="sd">        :param threshold:               Speech threshold. Silero VAD outputs speech probabilities for each audio chunk,</span>
+<span class="sd">                                        probabilities ABOVE this value are considered as SPEECH. It is better to tune</span>
+<span class="sd">                                        this parameter for each dataset separately, but "lazy" 0.5 is pretty good for</span>
+<span class="sd">                                        most datasets.</span>
+<span class="sd">        :param sampling_rate:           Currently, silero VAD models support 8000 and 16000 sample rates.</span>
+<span class="sd">        :param min_speech_duration_ms:  Final speech chunks shorter min_speech_duration_ms are thrown out.</span>
+<span class="sd">        :param max_speech_duration_s:   Maximum duration of speech chunks in seconds. Chunks longer than</span>
+<span class="sd">                                        `max_speech_duration_s` will be split at the timestamp of the last silence that</span>
+<span class="sd">                                        lasts more than 100ms (if any), to prevent aggressive cutting. Otherwise,</span>
+<span class="sd">                                        they will be split aggressively just before max_speech_duration_s.</span>
+<span class="sd">        :param min_silence_duration_ms: In the end of each speech chunk wait for min_silence_duration_ms before</span>
+<span class="sd">                                        separating it.</span>
+<span class="sd">        :param window_size_samples:     Audio chunks of window_size_samples size are fed to the silero VAD model.</span>
+<span class="sd">                                        WARNING! Silero VAD models were trained using 512, 1024, 1536 samples for 16000</span>
+<span class="sd">                                        sample rate and 256, 512, 768 samples for 8000 sample rate. Values other than</span>
+<span class="sd">                                        these may affect model performance!</span>
+<span class="sd">        :param speech_pad_ms:           Final speech chunks are padded by speech_pad_ms each side.</span>
+<span class="sd">        :param return_seconds:          Whether return timestamps in seconds. False means to return timestamps in</span>
+<span class="sd">                                        samples (default - False).</span>
+<span class="sd">        :param per_channel:             Whether to return timestamps per channel (default - False). This will run VAD</span>
+<span class="sd">                                        on each channel separately and return a list of timestamps per channel.</span>
+<span class="sd">        """</span>
+        <span class="c1"># Store configurations:</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_use_onnx</span> <span class="o">=</span> <span class="n">use_onnx</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_force_onnx_cpu</span> <span class="o">=</span> <span class="n">force_onnx_cpu</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_threshold</span> <span class="o">=</span> <span class="n">threshold</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_sampling_rate</span> <span class="o">=</span> <span class="n">sampling_rate</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_min_speech_duration_ms</span> <span class="o">=</span> <span class="n">min_speech_duration_ms</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_max_speech_duration_s</span> <span class="o">=</span> <span class="n">max_speech_duration_s</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_min_silence_duration_ms</span> <span class="o">=</span> <span class="n">min_silence_duration_ms</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_window_size_samples</span> <span class="o">=</span> <span class="n">window_size_samples</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_speech_pad_ms</span> <span class="o">=</span> <span class="n">speech_pad_ms</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_return_seconds</span> <span class="o">=</span> <span class="n">return_seconds</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_per_channel</span> <span class="o">=</span> <span class="n">per_channel</span>
+
+        <span class="c1"># Prepare the model variables</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_model</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">Module</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_get_speech_timestamps</span><span class="p">:</span> <span class="n">FunctionType</span> <span class="o">=</span> <span class="kc">None</span>
+
+<div class="viewcode-block" id="VoiceActivityDetector.load"><a class="viewcode-back" href="documentation.html#silero_vad.silero_vad.VoiceActivityDetector.load">[docs]</a>    <span class="k">def</span> <span class="nf">load</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">force_reload</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Load the VAD model.</span>
+
+<span class="sd">        :param force_reload: Whether to force reload the model even if it was already loaded. Default is True.</span>
+<span class="sd">        """</span>
+        <span class="n">model</span><span class="p">,</span> <span class="n">utils</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">hub</span><span class="o">.</span><span class="n">load</span><span class="p">(</span>
+            <span class="n">repo_or_dir</span><span class="o">=</span><span class="s2">"snakers4/silero-vad"</span><span class="p">,</span>
+            <span class="n">model</span><span class="o">=</span><span class="s2">"silero_vad"</span><span class="p">,</span>
+            <span class="n">force_reload</span><span class="o">=</span><span class="n">force_reload</span><span class="p">,</span>
+            <span class="n">onnx</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_use_onnx</span><span class="p">,</span>
+            <span class="n">force_onnx_cpu</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_force_onnx_cpu</span><span class="p">,</span>
+        <span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_model</span> <span class="o">=</span> <span class="n">model</span>
+        <span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_get_speech_timestamps</span><span class="p">,</span>
+            <span class="n">_</span><span class="p">,</span>  <span class="c1"># save_audio,</span>
+            <span class="n">_</span><span class="p">,</span>  <span class="c1"># read_audio,</span>
+            <span class="n">_</span><span class="p">,</span>  <span class="c1"># VADIterator,</span>
+            <span class="n">_</span><span class="p">,</span>  <span class="c1"># collect_chunks</span>
+        <span class="p">)</span> <span class="o">=</span> <span class="n">utils</span></div>
+
+<div class="viewcode-block" id="VoiceActivityDetector.detect_voice"><a class="viewcode-back" href="documentation.html#silero_vad.silero_vad.VoiceActivityDetector.detect_voice">[docs]</a>    <span class="k">def</span> <span class="nf">detect_voice</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">audio_file</span><span class="p">:</span> <span class="n">Path</span><span class="p">,</span>
+    <span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Union</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">int</span><span class="p">]],</span> <span class="n">List</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">int</span><span class="p">]]]]:</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Infer the audio through the VAD model and return the speech timestamps.</span>
+
+<span class="sd">        :param audio_file: The audio file to infer.</span>
+
+<span class="sd">        :returns: The speech timestamps in the audio. A list of timestamps where each timestamp is a dictionary with the</span>
+<span class="sd">                 following keys:</span>
+
+<span class="sd">                 * "start": The start sample index of the speech in the audio.</span>
+<span class="sd">                 * "end":   The end sample index of the speech in the audio.</span>
+
+<span class="sd">                 If `per_channel` is True, a list of timestamps per channel will be returned.</span>
+<span class="sd">        """</span>
+        <span class="c1"># Cast to a numpy array:</span>
+        <span class="n">audio</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_read_audio</span><span class="p">(</span><span class="n">audio_file</span><span class="p">)</span>
+
+        <span class="c1"># Detect speech:</span>
+        <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">_per_channel</span><span class="p">:</span>
+            <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_get_speech_timestamps</span><span class="p">(</span>
+                <span class="n">audio</span><span class="p">,</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">_model</span><span class="p">,</span>
+                <span class="n">threshold</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_threshold</span><span class="p">,</span>
+                <span class="n">min_speech_duration_ms</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_min_speech_duration_ms</span><span class="p">,</span>
+                <span class="n">max_speech_duration_s</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_max_speech_duration_s</span><span class="p">,</span>
+                <span class="n">min_silence_duration_ms</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_min_silence_duration_ms</span><span class="p">,</span>
+                <span class="n">speech_pad_ms</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_speech_pad_ms</span><span class="p">,</span>
+                <span class="n">sampling_rate</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_sampling_rate</span><span class="p">,</span>
+                <span class="n">window_size_samples</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_window_size_samples</span><span class="p">,</span>
+                <span class="n">return_seconds</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_return_seconds</span><span class="p">,</span>
+            <span class="p">)</span>
+
+        <span class="c1"># Per channel:</span>
+        <span class="n">speech_timestamps</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="k">for</span> <span class="n">channel</span> <span class="ow">in</span> <span class="n">audio</span><span class="p">:</span>
+            <span class="n">speech_timestamps</span><span class="o">.</span><span class="n">append</span><span class="p">(</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">_get_speech_timestamps</span><span class="p">(</span>
+                    <span class="n">channel</span><span class="p">,</span>
+                    <span class="bp">self</span><span class="o">.</span><span class="n">_model</span><span class="p">,</span>
+                    <span class="n">threshold</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_threshold</span><span class="p">,</span>
+                    <span class="n">min_speech_duration_ms</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_min_speech_duration_ms</span><span class="p">,</span>
+                    <span class="n">max_speech_duration_s</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_max_speech_duration_s</span><span class="p">,</span>
+                    <span class="n">min_silence_duration_ms</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_min_silence_duration_ms</span><span class="p">,</span>
+                    <span class="n">speech_pad_ms</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_speech_pad_ms</span><span class="p">,</span>
+                    <span class="n">sampling_rate</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_sampling_rate</span><span class="p">,</span>
+                    <span class="n">window_size_samples</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_window_size_samples</span><span class="p">,</span>
+                    <span class="n">return_seconds</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_return_seconds</span><span class="p">,</span>
+                <span class="p">)</span>
+            <span class="p">)</span>
+
+        <span class="k">return</span> <span class="n">speech_timestamps</span></div>
+
+    <span class="k">def</span> <span class="nf">_read_audio</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">path</span><span class="p">:</span> <span class="n">Path</span><span class="p">,</span>
+    <span class="p">)</span> <span class="o">-&gt;</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">:</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Read the audio from the given path and return it as a tensor.</span>
+
+<span class="sd">        :param path: The path to the audio file.</span>
+
+<span class="sd">        :returns: The audio as a tensor.</span>
+<span class="sd">        """</span>
+        <span class="c1"># Read the audio:</span>
+        <span class="n">audio</span><span class="p">,</span> <span class="n">sampling_rate</span> <span class="o">=</span> <span class="n">torchaudio</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="nb">str</span><span class="p">(</span><span class="n">path</span><span class="p">))</span>
+
+        <span class="c1"># Check if the audio is stereo and if so, convert it to mono (only if not per channel):</span>
+        <span class="k">if</span> <span class="n">audio</span><span class="o">.</span><span class="n">size</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span> <span class="o">&gt;</span> <span class="mi">1</span> <span class="ow">and</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">_per_channel</span><span class="p">:</span>
+            <span class="n">audio</span> <span class="o">=</span> <span class="n">audio</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">dim</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">keepdim</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+        <span class="c1"># Resample the audio if needed:</span>
+        <span class="k">if</span> <span class="n">sampling_rate</span> <span class="o">!=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_sampling_rate</span><span class="p">:</span>
+            <span class="n">transform</span> <span class="o">=</span> <span class="n">torchaudio</span><span class="o">.</span><span class="n">transforms</span><span class="o">.</span><span class="n">Resample</span><span class="p">(</span>
+                <span class="n">orig_freq</span><span class="o">=</span><span class="n">sampling_rate</span><span class="p">,</span> <span class="n">new_freq</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_sampling_rate</span>
+            <span class="p">)</span>
+            <span class="n">audio</span> <span class="o">=</span> <span class="n">transform</span><span class="p">(</span><span class="n">audio</span><span class="p">)</span>
+
+        <span class="c1"># Return the audio (squeeze if not per channel):</span>
+        <span class="k">return</span> <span class="n">audio</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_per_channel</span> <span class="k">else</span> <span class="n">audio</span><span class="o">.</span><span class="n">squeeze</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span></div>
+
+
+<span class="c1">#: The value to send into multiprocessing queues to stop the process:</span>
+<span class="n">_MULTIPROCESSING_STOP_MARK</span> <span class="o">=</span> <span class="s2">"STOP"</span>
+
+
+<span class="k">def</span> <span class="nf">_multiprocessing_complete_tasks</span><span class="p">(</span>
+    <span class="n">vad_init_kwargs</span><span class="p">:</span> <span class="nb">dict</span><span class="p">,</span> <span class="n">tasks_queue</span><span class="p">:</span> <span class="n">Queue</span><span class="p">,</span> <span class="n">results_queue</span><span class="p">:</span> <span class="n">Queue</span>
+<span class="p">):</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    Complete the tasks in the given queue and put the results in the given results queue. The function will stop when</span>
+<span class="sd">    the given tasks queue will receive the stop mark. It is aimed to be used with multiprocessing as a process.</span>
+
+<span class="sd">    :param vad_init_kwargs: The VAD initialization kwargs.</span>
+<span class="sd">    :param tasks_queue:     A queue to get the tasks from.</span>
+<span class="sd">    :param results_queue:   A queue to put the results in.</span>
+<span class="sd">    """</span>
+    <span class="c1"># Initialize and load the VAD:</span>
+    <span class="n">vad</span> <span class="o">=</span> <span class="n">VoiceActivityDetector</span><span class="p">(</span><span class="o">**</span><span class="n">vad_init_kwargs</span><span class="p">)</span>
+    <span class="n">vad</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">force_reload</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
+
+    <span class="c1"># Start listening to the tasks queue:</span>
+    <span class="k">while</span> <span class="kc">True</span><span class="p">:</span>
+        <span class="c1"># Get the task:</span>
+        <span class="n">task</span><span class="p">:</span> <span class="n">Tuple</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">dict</span><span class="p">]</span> <span class="o">=</span> <span class="n">tasks_queue</span><span class="o">.</span><span class="n">get</span><span class="p">()</span>
+        <span class="k">if</span> <span class="n">task</span> <span class="o">==</span> <span class="n">_MULTIPROCESSING_STOP_MARK</span><span class="p">:</span>
+            <span class="k">break</span>
+        <span class="k">try</span><span class="p">:</span>
+            <span class="c1"># Create the task:</span>
+            <span class="n">task</span> <span class="o">=</span> <span class="n">TaskCreator</span><span class="o">.</span><span class="n">from_tuple</span><span class="p">(</span><span class="n">task_tuple</span><span class="o">=</span><span class="n">task</span><span class="p">)</span>
+            <span class="c1"># Run the file through the VAD:</span>
+            <span class="n">speech_timestamps</span> <span class="o">=</span> <span class="n">vad</span><span class="o">.</span><span class="n">detect_voice</span><span class="p">(</span><span class="n">audio_file</span><span class="o">=</span><span class="n">task</span><span class="o">.</span><span class="n">audio_file</span><span class="p">)</span>
+            <span class="c1"># Complete the task:</span>
+            <span class="n">task</span><span class="o">.</span><span class="n">do_task</span><span class="p">(</span><span class="n">speech_timestamps</span><span class="o">=</span><span class="n">speech_timestamps</span><span class="p">)</span>
+            <span class="c1"># Build the result:</span>
+            <span class="n">result</span> <span class="o">=</span> <span class="p">(</span><span class="kc">False</span><span class="p">,</span> <span class="n">task</span><span class="o">.</span><span class="n">get_result</span><span class="p">())</span>
+        <span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">exception</span><span class="p">:</span>
+            <span class="c1"># Build the error:</span>
+            <span class="n">result</span> <span class="o">=</span> <span class="p">(</span><span class="kc">True</span><span class="p">,</span> <span class="p">(</span><span class="n">task</span><span class="o">.</span><span class="n">audio_file</span><span class="o">.</span><span class="n">name</span><span class="p">,</span> <span class="nb">str</span><span class="p">(</span><span class="n">exception</span><span class="p">)))</span>
+        <span class="c1"># Collect the result / error:</span>
+        <span class="n">results_queue</span><span class="o">.</span><span class="n">put</span><span class="p">(</span><span class="n">result</span><span class="p">)</span>
+
+    <span class="c1"># Mark the end of the tasks:</span>
+    <span class="n">results_queue</span><span class="o">.</span><span class="n">put</span><span class="p">(</span><span class="n">_MULTIPROCESSING_STOP_MARK</span><span class="p">)</span>
+
+
+<span class="c1"># Get the global logger:</span>
+<span class="k">try</span><span class="p">:</span>
+    <span class="kn">import</span> <span class="nn">mlrun</span>
+
+    <span class="n">_LOGGER</span> <span class="o">=</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">get_or_create_ctx</span><span class="p">(</span><span class="s2">"silero_vad"</span><span class="p">)</span><span class="o">.</span><span class="n">logger</span>
+<span class="k">except</span> <span class="ne">ModuleNotFoundError</span><span class="p">:</span>
+    <span class="n">_LOGGER</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">()</span>
+
+
+<div class="viewcode-block" id="detect_voice"><a class="viewcode-back" href="documentation.html#silero_vad.silero_vad.detect_voice">[docs]</a><span class="k">def</span> <span class="nf">detect_voice</span><span class="p">(</span>
+    <span class="c1"># Input kwargs:</span>
+    <span class="n">data_path</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">Path</span><span class="p">,</span> <span class="n">List</span><span class="p">[</span><span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">Path</span><span class="p">]]],</span>
+    <span class="c1"># Model loading kwargs:</span>
+    <span class="n">use_onnx</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
+    <span class="n">force_onnx_cpu</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
+    <span class="c1"># Detection kwargs:</span>
+    <span class="n">threshold</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.5</span><span class="p">,</span>
+    <span class="n">sampling_rate</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">16_000</span><span class="p">,</span>
+    <span class="n">min_speech_duration_ms</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">250</span><span class="p">,</span>
+    <span class="n">max_speech_duration_s</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="nb">float</span><span class="p">(</span><span class="s2">"inf"</span><span class="p">),</span>
+    <span class="n">min_silence_duration_ms</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">100</span><span class="p">,</span>
+    <span class="n">window_size_samples</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">512</span><span class="p">,</span>
+    <span class="n">speech_pad_ms</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">30</span><span class="p">,</span>
+    <span class="n">return_seconds</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
+    <span class="n">per_channel</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
+    <span class="c1"># Other kwargs:</span>
+    <span class="n">use_multiprocessing</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">0</span><span class="p">,</span>
+    <span class="n">verbose</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
+<span class="p">):</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    Perform voice activity detection on given audio files using the silero VAD model -</span>
+<span class="sd">    https://github.com/snakers4/silero-vad. The end result is a dictionary with the file names as keys and their</span>
+<span class="sd">    VAD timestamps dictionaries as value.</span>
+
+<span class="sd">    For example::</span>
+
+<span class="sd">        {</span>
+<span class="sd">            "file_1.wav": [</span>
+<span class="sd">                {"start": 0, "end": 16000},</span>
+<span class="sd">                {"start": 16000, "end": 32000},</span>
+<span class="sd">                {"start": 32000, "end": 48000},</span>
+<span class="sd">                ...</span>
+<span class="sd">            ],</span>
+<span class="sd">            "file_2.wav": [</span>
+<span class="sd">                {"start": 0, "end": 16000},</span>
+<span class="sd">                {"start": 16000, "end": 32000},</span>
+<span class="sd">                {"start": 32000, "end": 48000},</span>
+<span class="sd">                ...</span>
+<span class="sd">            ],</span>
+<span class="sd">            ...</span>
+<span class="sd">        }</span>
+
+
+<span class="sd">    :param data_path:               The path to the audio files to diarize. Can be a path to a single file, a path to a</span>
+<span class="sd">                                    directory or a list of paths to files.</span>
+<span class="sd">    :param use_onnx:                Whether to use ONNX for inference. Default is True.</span>
+<span class="sd">    :param force_onnx_cpu:          Whether to force ONNX to use CPU for inference. Default is True.</span>
+<span class="sd">    :param threshold:               Speech threshold. Silero VAD outputs speech probabilities for each audio chunk,</span>
+<span class="sd">                                    probabilities ABOVE this value are considered as SPEECH. It is better to tune</span>
+<span class="sd">                                    this parameter for each dataset separately, but "lazy" 0.5 is pretty good for</span>
+<span class="sd">                                    most datasets.</span>
+<span class="sd">    :param sampling_rate:           Currently, silero VAD models support 8000 and 16000 sample rates.</span>
+<span class="sd">    :param min_speech_duration_ms:  Final speech chunks shorter min_speech_duration_ms are thrown out.</span>
+<span class="sd">    :param max_speech_duration_s:   Maximum duration of speech chunks in seconds. Chunks longer than</span>
+<span class="sd">                                    `max_speech_duration_s` will be split at the timestamp of the last silence that</span>
+<span class="sd">                                    lasts more than 100ms (if any), to prevent aggressive cutting. Otherwise, they will</span>
+<span class="sd">                                    be split aggressively just before max_speech_duration_s.</span>
+<span class="sd">    :param min_silence_duration_ms: In the end of each speech chunk wait for min_silence_duration_ms before separating</span>
+<span class="sd">                                    it.</span>
+<span class="sd">    :param window_size_samples:     Audio chunks of window_size_samples size are fed to the silero VAD model.</span>
+
+<span class="sd">                                    WARNING! Silero VAD models were trained using 512, 1024, 1536 samples for 16000</span>
+<span class="sd">                                    sample rate and 256, 512, 768 samples for 8000 sample rate. Values other than</span>
+<span class="sd">                                    these may affect model performance!</span>
+<span class="sd">    :param speech_pad_ms:           Final speech chunks are padded by speech_pad_ms each side.</span>
+<span class="sd">    :param return_seconds:          Whether return timestamps in seconds. False means to return timestamps in samples</span>
+<span class="sd">                                    (default - False).</span>
+<span class="sd">    :param per_channel:             Whether to return timestamps per channel (default - False). This will run VAD on</span>
+<span class="sd">                                    each channel separately and return a list of timestamps per channel.</span>
+<span class="sd">    :param use_multiprocessing:     The number of workers to use for multiprocessing. If 0, no multiprocessing will</span>
+<span class="sd">                                    be used. Default is 0.</span>
+<span class="sd">    :param verbose:                 Verbosity.</span>
+<span class="sd">    """</span>
+    <span class="k">global</span> <span class="n">_LOGGER</span>
+
+    <span class="c1"># Get the input audio files to transcribe:</span>
+    <span class="k">if</span> <span class="n">verbose</span><span class="p">:</span>
+        <span class="n">_LOGGER</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s2">"Collecting audio files."</span><span class="p">)</span>
+    <span class="n">audio_files</span> <span class="o">=</span> <span class="n">_get_audio_files</span><span class="p">(</span><span class="n">data_path</span><span class="o">=</span><span class="n">data_path</span><span class="p">)</span>
+    <span class="k">if</span> <span class="n">verbose</span><span class="p">:</span>
+        <span class="n">_LOGGER</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Collected </span><span class="si">{</span><span class="nb">len</span><span class="p">(</span><span class="n">audio_files</span><span class="p">)</span><span class="si">}</span><span class="s2"> audio files."</span><span class="p">)</span>
+
+    <span class="c1"># Initialize the transcription pipeline:</span>
+    <span class="n">vad_init_kwargs</span> <span class="o">=</span> <span class="p">{</span>
+        <span class="s2">"use_onnx"</span><span class="p">:</span> <span class="n">use_onnx</span><span class="p">,</span>
+        <span class="s2">"force_onnx_cpu"</span><span class="p">:</span> <span class="n">force_onnx_cpu</span><span class="p">,</span>
+        <span class="s2">"threshold"</span><span class="p">:</span> <span class="n">threshold</span><span class="p">,</span>
+        <span class="s2">"sampling_rate"</span><span class="p">:</span> <span class="n">sampling_rate</span><span class="p">,</span>
+        <span class="s2">"min_speech_duration_ms"</span><span class="p">:</span> <span class="n">min_speech_duration_ms</span><span class="p">,</span>
+        <span class="s2">"max_speech_duration_s"</span><span class="p">:</span> <span class="n">max_speech_duration_s</span><span class="p">,</span>
+        <span class="s2">"min_silence_duration_ms"</span><span class="p">:</span> <span class="n">min_silence_duration_ms</span><span class="p">,</span>
+        <span class="s2">"window_size_samples"</span><span class="p">:</span> <span class="n">window_size_samples</span><span class="p">,</span>
+        <span class="s2">"speech_pad_ms"</span><span class="p">:</span> <span class="n">speech_pad_ms</span><span class="p">,</span>
+        <span class="s2">"return_seconds"</span><span class="p">:</span> <span class="n">return_seconds</span><span class="p">,</span>
+        <span class="s2">"per_channel"</span><span class="p">:</span> <span class="n">per_channel</span><span class="p">,</span>
+    <span class="p">}</span>
+
+    <span class="c1"># Create the task creator:</span>
+    <span class="n">task_creator</span> <span class="o">=</span> <span class="n">TaskCreator</span><span class="p">(</span><span class="n">task_type</span><span class="o">=</span><span class="n">BaseTask</span><span class="p">)</span>
+
+    <span class="c1"># Run the transcription:</span>
+    <span class="k">if</span> <span class="n">use_multiprocessing</span><span class="p">:</span>
+        <span class="n">results</span> <span class="o">=</span> <span class="n">_parallel_run</span><span class="p">(</span>
+            <span class="n">n_workers</span><span class="o">=</span><span class="n">use_multiprocessing</span><span class="p">,</span>
+            <span class="n">audio_files</span><span class="o">=</span><span class="n">audio_files</span><span class="p">,</span>
+            <span class="n">description</span><span class="o">=</span><span class="s2">"Detecting voice"</span><span class="p">,</span>
+            <span class="n">vad_init_kwargs</span><span class="o">=</span><span class="n">vad_init_kwargs</span><span class="p">,</span>
+            <span class="n">task_creator</span><span class="o">=</span><span class="n">task_creator</span><span class="p">,</span>
+            <span class="n">verbose</span><span class="o">=</span><span class="n">verbose</span><span class="p">,</span>
+        <span class="p">)</span>
+    <span class="k">else</span><span class="p">:</span>
+        <span class="n">results</span> <span class="o">=</span> <span class="n">_run</span><span class="p">(</span>
+            <span class="n">audio_files</span><span class="o">=</span><span class="n">audio_files</span><span class="p">,</span>
+            <span class="n">description</span><span class="o">=</span><span class="s2">"Detecting voice"</span><span class="p">,</span>
+            <span class="n">vad_init_kwargs</span><span class="o">=</span><span class="n">vad_init_kwargs</span><span class="p">,</span>
+            <span class="n">task_creator</span><span class="o">=</span><span class="n">task_creator</span><span class="p">,</span>
+            <span class="n">verbose</span><span class="o">=</span><span class="n">verbose</span><span class="p">,</span>
+        <span class="p">)</span>
+
+    <span class="c1"># Process the results:</span>
+    <span class="k">return</span> <span class="n">_process_results</span><span class="p">(</span><span class="n">results</span><span class="o">=</span><span class="n">results</span><span class="p">,</span> <span class="n">verbose</span><span class="o">=</span><span class="n">verbose</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="diarize"><a class="viewcode-back" href="documentation.html#silero_vad.silero_vad.diarize">[docs]</a><span class="k">def</span> <span class="nf">diarize</span><span class="p">(</span>
+    <span class="c1"># Input / Output kwargs:</span>
+    <span class="n">data_path</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">Path</span><span class="p">,</span> <span class="n">List</span><span class="p">[</span><span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">Path</span><span class="p">]]],</span>
+    <span class="c1"># Model loading kwargs:</span>
+    <span class="n">use_onnx</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
+    <span class="n">force_onnx_cpu</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
+    <span class="c1"># Detection kwargs:</span>
+    <span class="n">threshold</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.5</span><span class="p">,</span>
+    <span class="n">sampling_rate</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">16_000</span><span class="p">,</span>
+    <span class="n">min_speech_duration_ms</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">250</span><span class="p">,</span>
+    <span class="n">max_speech_duration_s</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="nb">float</span><span class="p">(</span><span class="s2">"inf"</span><span class="p">),</span>
+    <span class="n">min_silence_duration_ms</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">100</span><span class="p">,</span>
+    <span class="n">window_size_samples</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">512</span><span class="p">,</span>
+    <span class="n">speech_pad_ms</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">30</span><span class="p">,</span>
+    <span class="c1"># Diarization kwargs:</span>
+    <span class="n">speaker_labels</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="c1"># Other kwargs:</span>
+    <span class="n">use_multiprocessing</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">0</span><span class="p">,</span>
+    <span class="n">verbose</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
+<span class="p">):</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    Perform speech diarization on given audio files using the silero VAD model - https://github.com/snakers4/silero-vad.</span>
+<span class="sd">    The speech diarization is performed per channel so that each channel in the audio belong to a different speaker. The</span>
+<span class="sd">    end result is a dictionary with the file names as keys and their diarization as value. A diarization is a list</span>
+<span class="sd">    of tuples: (start, end, speaker_label).</span>
+
+<span class="sd">    For example::</span>
+
+<span class="sd">        {</span>
+<span class="sd">            "file_1.wav": [</span>
+<span class="sd">                (0.0, 1.0, "speaker_0"),</span>
+<span class="sd">                (1.0, 2.0, "speaker_1"),</span>
+<span class="sd">                (2.0, 3.0, "speaker_0"),</span>
+<span class="sd">                ...</span>
+<span class="sd">            ],</span>
+<span class="sd">            "file_2.wav": [</span>
+<span class="sd">                (0.0, 1.0, "speaker_0"),</span>
+<span class="sd">                (1.0, 2.0, "speaker_1"),</span>
+<span class="sd">                (2.0, 3.0, "speaker_0"),</span>
+<span class="sd">                ...</span>
+<span class="sd">            ],</span>
+<span class="sd">            ...</span>
+<span class="sd">        }</span>
+
+
+<span class="sd">    :param data_path:               The path to the audio files to diarize. Can be a path to a single file, a path to a</span>
+<span class="sd">                                    directory or a list of paths to files.</span>
+<span class="sd">    :param use_onnx:                Whether to use ONNX for inference. Default is True.</span>
+<span class="sd">    :param force_onnx_cpu:          Whether to force ONNX to use CPU for inference. Default is True.</span>
+<span class="sd">    :param threshold:               Speech threshold. Silero VAD outputs speech probabilities for each audio chunk,</span>
+<span class="sd">                                    probabilities ABOVE this value are considered as SPEECH. It is better to tune</span>
+<span class="sd">                                    this parameter for each dataset separately, but "lazy" 0.5 is pretty good for</span>
+<span class="sd">                                    most datasets.</span>
+<span class="sd">    :param sampling_rate:           Currently, silero VAD models support 8000 and 16000 sample rates.</span>
+<span class="sd">    :param min_speech_duration_ms:  Final speech chunks shorter min_speech_duration_ms are thrown out.</span>
+<span class="sd">    :param max_speech_duration_s:   Maximum duration of speech chunks in seconds. Chunks longer than</span>
+<span class="sd">                                    `max_speech_duration_s` will be split at the timestamp of the last silence that</span>
+<span class="sd">                                    lasts more than 100ms (if any), to prevent aggressive cutting. Otherwise, they will</span>
+<span class="sd">                                    be split aggressively just before max_speech_duration_s.</span>
+<span class="sd">    :param min_silence_duration_ms: In the end of each speech chunk wait for min_silence_duration_ms before separating</span>
+<span class="sd">                                    it.</span>
+<span class="sd">    :param window_size_samples:     Audio chunks of window_size_samples size are fed to the silero VAD model.</span>
+
+<span class="sd">                                    WARNING! Silero VAD models were trained using 512, 1024, 1536 samples for 16000</span>
+<span class="sd">                                    sample rate and 256, 512, 768 samples for 8000 sample rate. Values other than</span>
+<span class="sd">                                    these may affect model performance!</span>
+<span class="sd">    :param speech_pad_ms:           Final speech chunks are padded by speech_pad_ms each side.</span>
+<span class="sd">    :param speaker_labels:          The speaker labels to use for the diarization. If not given, the speakers will be</span>
+<span class="sd">                                    named "speaker_0", "speaker_1", etc.</span>
+<span class="sd">    :param use_multiprocessing:     The number of workers to use for multiprocessing. If 0, no multiprocessing will</span>
+<span class="sd">                                    be used. Default is 0.</span>
+<span class="sd">    :param verbose:                 Verbosity.</span>
+<span class="sd">    """</span>
+    <span class="k">global</span> <span class="n">_LOGGER</span>
+
+    <span class="c1"># Get the input audio files to transcribe:</span>
+    <span class="k">if</span> <span class="n">verbose</span><span class="p">:</span>
+        <span class="n">_LOGGER</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s2">"Collecting audio files."</span><span class="p">)</span>
+    <span class="n">audio_files</span> <span class="o">=</span> <span class="n">_get_audio_files</span><span class="p">(</span><span class="n">data_path</span><span class="o">=</span><span class="n">data_path</span><span class="p">)</span>
+    <span class="k">if</span> <span class="n">verbose</span><span class="p">:</span>
+        <span class="n">_LOGGER</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Collected </span><span class="si">{</span><span class="nb">len</span><span class="p">(</span><span class="n">audio_files</span><span class="p">)</span><span class="si">}</span><span class="s2"> audio files."</span><span class="p">)</span>
+
+    <span class="c1"># Initialize the transcription pipeline:</span>
+    <span class="n">vad_init_kwargs</span> <span class="o">=</span> <span class="p">{</span>
+        <span class="s2">"use_onnx"</span><span class="p">:</span> <span class="n">use_onnx</span><span class="p">,</span>
+        <span class="s2">"force_onnx_cpu"</span><span class="p">:</span> <span class="n">force_onnx_cpu</span><span class="p">,</span>
+        <span class="s2">"threshold"</span><span class="p">:</span> <span class="n">threshold</span><span class="p">,</span>
+        <span class="s2">"sampling_rate"</span><span class="p">:</span> <span class="n">sampling_rate</span><span class="p">,</span>
+        <span class="s2">"min_speech_duration_ms"</span><span class="p">:</span> <span class="n">min_speech_duration_ms</span><span class="p">,</span>
+        <span class="s2">"max_speech_duration_s"</span><span class="p">:</span> <span class="n">max_speech_duration_s</span><span class="p">,</span>
+        <span class="s2">"min_silence_duration_ms"</span><span class="p">:</span> <span class="n">min_silence_duration_ms</span><span class="p">,</span>
+        <span class="s2">"window_size_samples"</span><span class="p">:</span> <span class="n">window_size_samples</span><span class="p">,</span>
+        <span class="s2">"speech_pad_ms"</span><span class="p">:</span> <span class="n">speech_pad_ms</span><span class="p">,</span>
+        <span class="s2">"return_seconds"</span><span class="p">:</span> <span class="kc">True</span><span class="p">,</span>
+        <span class="s2">"per_channel"</span><span class="p">:</span> <span class="kc">True</span><span class="p">,</span>
+    <span class="p">}</span>
+
+    <span class="c1"># Create the task creator:</span>
+    <span class="n">task_creator</span> <span class="o">=</span> <span class="n">TaskCreator</span><span class="p">(</span>
+        <span class="n">task_type</span><span class="o">=</span><span class="n">SpeechDiarizationTask</span><span class="p">,</span> <span class="n">task_kwargs</span><span class="o">=</span><span class="p">{</span><span class="s2">"speaker_labels"</span><span class="p">:</span> <span class="n">speaker_labels</span><span class="p">}</span>
+    <span class="p">)</span>
+
+    <span class="c1"># Run the transcription:</span>
+    <span class="k">if</span> <span class="n">use_multiprocessing</span><span class="p">:</span>
+        <span class="n">results</span> <span class="o">=</span> <span class="n">_parallel_run</span><span class="p">(</span>
+            <span class="n">n_workers</span><span class="o">=</span><span class="n">use_multiprocessing</span><span class="p">,</span>
+            <span class="n">audio_files</span><span class="o">=</span><span class="n">audio_files</span><span class="p">,</span>
+            <span class="n">description</span><span class="o">=</span><span class="s2">"Diarizing"</span><span class="p">,</span>
+            <span class="n">vad_init_kwargs</span><span class="o">=</span><span class="n">vad_init_kwargs</span><span class="p">,</span>
+            <span class="n">task_creator</span><span class="o">=</span><span class="n">task_creator</span><span class="p">,</span>
+            <span class="n">verbose</span><span class="o">=</span><span class="n">verbose</span><span class="p">,</span>
+        <span class="p">)</span>
+    <span class="k">else</span><span class="p">:</span>
+        <span class="n">results</span> <span class="o">=</span> <span class="n">_run</span><span class="p">(</span>
+            <span class="n">audio_files</span><span class="o">=</span><span class="n">audio_files</span><span class="p">,</span>
+            <span class="n">description</span><span class="o">=</span><span class="s2">"Diarizing"</span><span class="p">,</span>
+            <span class="n">vad_init_kwargs</span><span class="o">=</span><span class="n">vad_init_kwargs</span><span class="p">,</span>
+            <span class="n">task_creator</span><span class="o">=</span><span class="n">task_creator</span><span class="p">,</span>
+            <span class="n">verbose</span><span class="o">=</span><span class="n">verbose</span><span class="p">,</span>
+        <span class="p">)</span>
+
+    <span class="c1"># Process the results:</span>
+    <span class="k">return</span> <span class="n">_process_results</span><span class="p">(</span><span class="n">results</span><span class="o">=</span><span class="n">results</span><span class="p">,</span> <span class="n">verbose</span><span class="o">=</span><span class="n">verbose</span><span class="p">)</span></div>
+
+
+<span class="k">def</span> <span class="nf">_get_audio_files</span><span class="p">(</span>
+    <span class="n">data_path</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="n">Path</span><span class="p">,</span> <span class="nb">str</span><span class="p">,</span> <span class="nb">list</span><span class="p">],</span>
+<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="n">Path</span><span class="p">]:</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    Get the audio files from the data path. If a path to a directory is given, all files in the directory will be</span>
+<span class="sd">    collected.</span>
+
+<span class="sd">    :param data_path: The data path to collect the audio files from.</span>
+
+<span class="sd">    :returns: The audio files list.</span>
+<span class="sd">    """</span>
+    <span class="c1"># Check if given a list of paths:</span>
+    <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">data_path</span><span class="p">,</span> <span class="nb">list</span><span class="p">):</span>
+        <span class="n">audio_files</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="k">for</span> <span class="n">path</span> <span class="ow">in</span> <span class="n">data_path</span><span class="p">:</span>
+            <span class="n">audio_files</span><span class="o">.</span><span class="n">extend</span><span class="p">(</span><span class="n">_get_audio_files</span><span class="p">(</span><span class="n">data_path</span><span class="o">=</span><span class="n">path</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">audio_files</span>
+
+    <span class="c1"># Check if given a single string path to cast it to a `pathlib.Path`:</span>
+    <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">data_path</span><span class="p">,</span> <span class="nb">str</span><span class="p">):</span>
+        <span class="n">data_path</span> <span class="o">=</span> <span class="n">Path</span><span class="p">(</span><span class="n">data_path</span><span class="p">)</span><span class="o">.</span><span class="n">absolute</span><span class="p">()</span>
+
+    <span class="c1"># Check if the path is of a directory or a file:</span>
+    <span class="k">if</span> <span class="n">data_path</span><span class="o">.</span><span class="n">is_dir</span><span class="p">():</span>
+        <span class="c1"># Get all files inside the directory:</span>
+        <span class="n">audio_files</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">data_path</span><span class="o">.</span><span class="n">glob</span><span class="p">(</span><span class="s2">"*.*"</span><span class="p">))</span>
+    <span class="k">elif</span> <span class="n">data_path</span><span class="o">.</span><span class="n">is_file</span><span class="p">():</span>
+        <span class="n">audio_files</span> <span class="o">=</span> <span class="p">[</span><span class="n">data_path</span><span class="p">]</span>
+    <span class="k">else</span><span class="p">:</span>
+        <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span>
+            <span class="sa">f</span><span class="s2">"Unrecognized data path. The parameter `data_path` must be a valid path to either a directory path or a "</span>
+            <span class="sa">f</span><span class="s2">"file. Given: </span><span class="si">{</span><span class="nb">str</span><span class="p">(</span><span class="n">data_path</span><span class="p">)</span><span class="si">}</span><span class="s2"> "</span>
+        <span class="p">)</span>
+
+    <span class="k">return</span> <span class="n">audio_files</span>
+
+
+<span class="k">def</span> <span class="nf">_run</span><span class="p">(</span>
+    <span class="n">audio_files</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Path</span><span class="p">],</span>
+    <span class="n">description</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
+    <span class="n">vad_init_kwargs</span><span class="p">:</span> <span class="nb">dict</span><span class="p">,</span>
+    <span class="n">task_creator</span><span class="p">:</span> <span class="n">TaskCreator</span><span class="p">,</span>
+    <span class="n">verbose</span><span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
+<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="n">Tuple</span><span class="p">[</span><span class="nb">bool</span><span class="p">,</span> <span class="n">Tuple</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">list</span><span class="p">]]]:</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    Load a VAD and use it to complete the tasks that will be created on the provided files using the given task creator.</span>
+
+<span class="sd">    :param audio_files:     The audio files to use.</span>
+<span class="sd">    :param description:     The description to use for the progress bar.</span>
+<span class="sd">    :param vad_init_kwargs: The VAD initialization keyword arguments.</span>
+<span class="sd">    :param task_creator:    The task creator to use to create the tasks.</span>
+<span class="sd">    :param verbose:         Verbosity.</span>
+
+<span class="sd">    :returns: The collected results.</span>
+<span class="sd">    """</span>
+    <span class="c1"># Load the VAD:</span>
+    <span class="n">vad</span> <span class="o">=</span> <span class="n">VoiceActivityDetector</span><span class="p">(</span><span class="o">**</span><span class="n">vad_init_kwargs</span><span class="p">)</span>
+    <span class="k">if</span> <span class="n">verbose</span><span class="p">:</span>
+        <span class="n">_LOGGER</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Loading the VAD model."</span><span class="p">)</span>
+    <span class="n">vad</span><span class="o">.</span><span class="n">load</span><span class="p">()</span>
+    <span class="k">if</span> <span class="n">verbose</span><span class="p">:</span>
+        <span class="n">_LOGGER</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s2">"VAD model loaded."</span><span class="p">)</span>
+
+    <span class="c1"># Run the VAD on the audio files and collect the results:</span>
+    <span class="n">results</span> <span class="o">=</span> <span class="p">[]</span>
+    <span class="k">for</span> <span class="n">audio_file</span> <span class="ow">in</span> <span class="n">tqdm</span><span class="p">(</span>
+        <span class="n">audio_files</span><span class="p">,</span>
+        <span class="n">desc</span><span class="o">=</span><span class="n">description</span><span class="p">,</span>
+        <span class="n">unit</span><span class="o">=</span><span class="s2">"file"</span><span class="p">,</span>
+        <span class="n">total</span><span class="o">=</span><span class="nb">len</span><span class="p">(</span><span class="n">audio_files</span><span class="p">),</span>
+        <span class="n">disable</span><span class="o">=</span><span class="ow">not</span> <span class="n">verbose</span><span class="p">,</span>
+    <span class="p">):</span>
+        <span class="k">try</span><span class="p">:</span>
+            <span class="c1"># Create the task:</span>
+            <span class="n">task</span> <span class="o">=</span> <span class="n">task_creator</span><span class="o">.</span><span class="n">create_task</span><span class="p">(</span><span class="n">audio_file</span><span class="o">=</span><span class="n">audio_file</span><span class="p">)</span>
+            <span class="c1"># Run the file through the VAD:</span>
+            <span class="n">speech_timestamps</span> <span class="o">=</span> <span class="n">vad</span><span class="o">.</span><span class="n">detect_voice</span><span class="p">(</span><span class="n">audio_file</span><span class="o">=</span><span class="n">audio_file</span><span class="p">)</span>
+            <span class="c1"># Complete the task:</span>
+            <span class="n">task</span><span class="o">.</span><span class="n">do_task</span><span class="p">(</span><span class="n">speech_timestamps</span><span class="o">=</span><span class="n">speech_timestamps</span><span class="p">)</span>
+            <span class="c1"># Collect the result:</span>
+            <span class="n">results</span><span class="o">.</span><span class="n">append</span><span class="p">((</span><span class="kc">False</span><span class="p">,</span> <span class="n">task</span><span class="o">.</span><span class="n">get_result</span><span class="p">()))</span>
+        <span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">exception</span><span class="p">:</span>
+            <span class="c1"># Collect the error:</span>
+            <span class="n">results</span><span class="o">.</span><span class="n">append</span><span class="p">((</span><span class="kc">True</span><span class="p">,</span> <span class="p">(</span><span class="n">audio_file</span><span class="o">.</span><span class="n">name</span><span class="p">,</span> <span class="nb">str</span><span class="p">(</span><span class="n">exception</span><span class="p">))))</span>
+
+    <span class="k">return</span> <span class="n">results</span>
+
+
+<span class="k">def</span> <span class="nf">_parallel_run</span><span class="p">(</span>
+    <span class="n">n_workers</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+    <span class="n">audio_files</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Path</span><span class="p">],</span>
+    <span class="n">description</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
+    <span class="n">vad_init_kwargs</span><span class="p">:</span> <span class="nb">dict</span><span class="p">,</span>
+    <span class="n">task_creator</span><span class="p">:</span> <span class="n">TaskCreator</span><span class="p">,</span>
+    <span class="n">verbose</span><span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
+<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="n">Tuple</span><span class="p">[</span><span class="nb">bool</span><span class="p">,</span> <span class="n">Tuple</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">list</span><span class="p">]]]:</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    Run multiple VAD workers with multiprocessing to complete the tasks that will be created on the provided files using</span>
+<span class="sd">    the given task creator.</span>
+
+<span class="sd">    :param n_workers:       The number of workers to use.</span>
+<span class="sd">    :param audio_files:     The audio files to use.</span>
+<span class="sd">    :param description:     The description to use for the progress bar.</span>
+<span class="sd">    :param vad_init_kwargs: The VAD initialization keyword arguments.</span>
+<span class="sd">    :param task_creator:    The task creator to use to create the tasks.</span>
+<span class="sd">    :param verbose:         Verbosity.</span>
+
+<span class="sd">    :returns: The collected results.</span>
+<span class="sd">    """</span>
+    <span class="c1"># Load the VAD (download once, and it will be loaded then per process later on):</span>
+    <span class="k">if</span> <span class="n">verbose</span><span class="p">:</span>
+        <span class="n">_LOGGER</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Loading the VAD model."</span><span class="p">)</span>
+    <span class="n">vad</span> <span class="o">=</span> <span class="n">VoiceActivityDetector</span><span class="p">(</span><span class="o">**</span><span class="n">vad_init_kwargs</span><span class="p">)</span>
+    <span class="n">vad</span><span class="o">.</span><span class="n">load</span><span class="p">()</span>
+    <span class="k">if</span> <span class="n">verbose</span><span class="p">:</span>
+        <span class="n">_LOGGER</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s2">"VAD model loaded."</span><span class="p">)</span>
+
+    <span class="c1"># Check the number of workers:</span>
+    <span class="k">if</span> <span class="n">n_workers</span> <span class="o">&gt;</span> <span class="nb">len</span><span class="p">(</span><span class="n">audio_files</span><span class="p">):</span>
+        <span class="n">_LOGGER</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span>
+            <span class="sa">f</span><span class="s2">"The number of workers (</span><span class="si">{</span><span class="n">n_workers</span><span class="si">}</span><span class="s2">) is larger than the number of audio files (</span><span class="si">{</span><span class="nb">len</span><span class="p">(</span><span class="n">audio_files</span><span class="p">)</span><span class="si">}</span><span class="s2">). "</span>
+            <span class="sa">f</span><span class="s2">"Setting the number of workers to </span><span class="si">{</span><span class="nb">len</span><span class="p">(</span><span class="n">audio_files</span><span class="p">)</span><span class="si">}</span><span class="s2">."</span>
+        <span class="p">)</span>
+        <span class="n">n_workers</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">audio_files</span><span class="p">)</span>
+
+    <span class="c1"># Initialize the multiprocessing queues:</span>
+    <span class="n">tasks_queue</span> <span class="o">=</span> <span class="n">Queue</span><span class="p">()</span>
+    <span class="n">results_queue</span> <span class="o">=</span> <span class="n">Queue</span><span class="p">()</span>
+
+    <span class="c1"># Initialize the multiprocessing processes:</span>
+    <span class="n">task_completion_processes</span> <span class="o">=</span> <span class="p">[</span>
+        <span class="n">Process</span><span class="p">(</span>
+            <span class="n">target</span><span class="o">=</span><span class="n">_multiprocessing_complete_tasks</span><span class="p">,</span>
+            <span class="n">kwargs</span><span class="o">=</span><span class="p">{</span>
+                <span class="s2">"vad_init_kwargs"</span><span class="p">:</span> <span class="n">vad_init_kwargs</span><span class="p">,</span>
+                <span class="s2">"tasks_queue"</span><span class="p">:</span> <span class="n">tasks_queue</span><span class="p">,</span>
+                <span class="s2">"results_queue"</span><span class="p">:</span> <span class="n">results_queue</span><span class="p">,</span>
+            <span class="p">},</span>
+        <span class="p">)</span>
+        <span class="k">for</span> <span class="n">_</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">n_workers</span><span class="p">)</span>
+    <span class="p">]</span>
+
+    <span class="c1"># Start the multiprocessing processes:</span>
+    <span class="k">for</span> <span class="n">p</span> <span class="ow">in</span> <span class="n">task_completion_processes</span><span class="p">:</span>
+        <span class="n">p</span><span class="o">.</span><span class="n">start</span><span class="p">()</span>
+
+    <span class="c1"># Put the tasks in the queue:</span>
+    <span class="k">for</span> <span class="n">audio_file</span> <span class="ow">in</span> <span class="n">audio_files</span><span class="p">:</span>
+        <span class="n">tasks_queue</span><span class="o">.</span><span class="n">put</span><span class="p">(</span><span class="n">task_creator</span><span class="o">.</span><span class="n">create_task</span><span class="p">(</span><span class="n">audio_file</span><span class="o">=</span><span class="n">audio_file</span><span class="p">)</span><span class="o">.</span><span class="n">to_tuple</span><span class="p">())</span>
+
+    <span class="c1"># Put the stop marks in the queue:</span>
+    <span class="k">for</span> <span class="n">_</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">n_workers</span><span class="p">):</span>
+        <span class="n">tasks_queue</span><span class="o">.</span><span class="n">put</span><span class="p">(</span><span class="n">_MULTIPROCESSING_STOP_MARK</span><span class="p">)</span>
+
+    <span class="c1"># Collect the results:</span>
+    <span class="n">results</span> <span class="o">=</span> <span class="p">[]</span>
+    <span class="n">stop_marks_counter</span> <span class="o">=</span> <span class="mi">0</span>
+    <span class="k">with</span> <span class="n">tqdm</span><span class="p">(</span>
+        <span class="n">desc</span><span class="o">=</span><span class="n">description</span><span class="p">,</span>
+        <span class="n">unit</span><span class="o">=</span><span class="s2">"file"</span><span class="p">,</span>
+        <span class="n">total</span><span class="o">=</span><span class="nb">len</span><span class="p">(</span><span class="n">audio_files</span><span class="p">),</span>
+        <span class="n">disable</span><span class="o">=</span><span class="ow">not</span> <span class="n">verbose</span><span class="p">,</span>
+    <span class="p">)</span> <span class="k">as</span> <span class="n">progressbar</span><span class="p">:</span>
+        <span class="k">while</span> <span class="kc">True</span><span class="p">:</span>
+            <span class="c1"># Get a result from the queue:</span>
+            <span class="n">result</span><span class="p">:</span> <span class="n">Tuple</span><span class="p">[</span><span class="nb">bool</span><span class="p">,</span> <span class="n">Tuple</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">list</span><span class="p">]]</span> <span class="o">=</span> <span class="n">results_queue</span><span class="o">.</span><span class="n">get</span><span class="p">()</span>
+            <span class="k">if</span> <span class="n">result</span> <span class="o">==</span> <span class="n">_MULTIPROCESSING_STOP_MARK</span><span class="p">:</span>
+                <span class="n">stop_marks_counter</span> <span class="o">+=</span> <span class="mi">1</span>
+                <span class="k">if</span> <span class="n">stop_marks_counter</span> <span class="o">==</span> <span class="n">n_workers</span><span class="p">:</span>
+                    <span class="k">break</span>
+            <span class="k">else</span><span class="p">:</span>
+                <span class="c1"># Collect the result:</span>
+                <span class="n">results</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">result</span><span class="p">)</span>
+                <span class="n">progressbar</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="mi">1</span><span class="p">)</span>
+
+    <span class="c1"># Wait for the processes to finish:</span>
+    <span class="k">for</span> <span class="n">p</span> <span class="ow">in</span> <span class="n">task_completion_processes</span><span class="p">:</span>
+        <span class="n">p</span><span class="o">.</span><span class="n">join</span><span class="p">()</span>
+
+    <span class="k">return</span> <span class="n">results</span>
+
+
+<span class="k">def</span> <span class="nf">_process_results</span><span class="p">(</span>
+    <span class="n">results</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tuple</span><span class="p">[</span><span class="nb">bool</span><span class="p">,</span> <span class="n">Tuple</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">list</span><span class="p">]]],</span> <span class="n">verbose</span><span class="p">:</span> <span class="nb">bool</span>
+<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="nb">dict</span><span class="p">,</span> <span class="nb">dict</span><span class="p">]:</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    Process the results of the tasks.</span>
+
+<span class="sd">    :param results: The results to process.</span>
+<span class="sd">    :param verbose: Verbosity.</span>
+
+<span class="sd">    :returns: The processed results as a tuple of successes and errors.</span>
+<span class="sd">    """</span>
+    <span class="k">if</span> <span class="n">verbose</span><span class="p">:</span>
+        <span class="n">_LOGGER</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s2">"Summarizing the results."</span><span class="p">)</span>
+    <span class="n">successes</span> <span class="o">=</span> <span class="p">{}</span>
+    <span class="n">errors</span> <span class="o">=</span> <span class="p">{}</span>
+    <span class="k">for</span> <span class="n">is_error</span><span class="p">,</span> <span class="n">result</span> <span class="ow">in</span> <span class="n">results</span><span class="p">:</span>
+        <span class="k">if</span> <span class="n">is_error</span><span class="p">:</span>
+            <span class="n">errors</span><span class="p">[</span><span class="n">result</span><span class="p">[</span><span class="mi">0</span><span class="p">]]</span> <span class="o">=</span> <span class="n">result</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">successes</span><span class="p">[</span><span class="n">result</span><span class="p">[</span><span class="mi">0</span><span class="p">]]</span> <span class="o">=</span> <span class="n">result</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span>
+    <span class="k">if</span> <span class="n">verbose</span><span class="p">:</span>
+        <span class="n">_LOGGER</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Done (</span><span class="si">{</span><span class="nb">len</span><span class="p">(</span><span class="n">successes</span><span class="p">)</span><span class="si">}</span><span class="s2">/</span><span class="si">{</span><span class="nb">len</span><span class="p">(</span><span class="n">successes</span><span class="p">)</span><span class="w"> </span><span class="o">+</span><span class="w"> </span><span class="nb">len</span><span class="p">(</span><span class="n">errors</span><span class="p">)</span><span class="si">}</span><span class="s2">)</span><span class="se">\n</span><span class="s2">"</span><span class="p">)</span>
+
+    <span class="k">return</span> <span class="n">successes</span><span class="p">,</span> <span class="n">errors</span>
+</pre></div>
+</div>
+</main>
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+      © Copyright .<br/>
+</p>
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diff --git a/functions/master/silero_vad/1.3.0/static/source.html b/functions/master/silero_vad/1.3.0/static/source.html
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+++ b/functions/master/silero_vad/1.3.0/static/source.html
@@ -0,0 +1,869 @@
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta content="IE=edge" http-equiv="X-UA-Compatible">
+    <meta content="width=device-width, initial-scale=1.0" name="viewport">
+    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/styles/atom-one-dark.min.css">
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/highlight.min.js"></script>
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/languages/python.min.js"></script>
+    <title>Source</title>
+    <script>hljs.highlightAll();</script>
+</head>
+
+<body style="background-color:darkgray; margin: 0 0 0 0;">
+    <pre style="margin: 0 1em;">
+        <code class="python">
+# Copyright 2024 Iguazio
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+import logging
+from multiprocessing import Process, Queue
+from pathlib import Path
+from types import FunctionType
+from typing import Dict, List, Tuple, Type, Union
+
+import torch
+import torchaudio
+from tqdm import tqdm
+
+
+class BaseTask:
+    """
+    A base class for a task to complete after VAD.
+    """
+
+    def __init__(self, audio_file: Path):
+        """
+        Initialize the base task.
+
+        :param audio_file: The audio file assigned to the task.
+        """
+        # Store the audio file:
+        self._audio_file = audio_file
+
+        # Prepare the result:
+        self._result = None
+
+    @property
+    def audio_file(self) -> Path:
+        """
+        Get the audio file of the task.
+
+        :returns: The audio file of the task.
+        """
+        return self._audio_file
+
+    def do_task(
+        self, speech_timestamps: Union[List[Dict[str, int]], List[List[Dict[str, int]]]]
+    ):
+        """
+        Do the task on the given speech timestamps. The base task will simply save the speech timestamps as the result.
+
+        :param speech_timestamps: The speech timestamps to do the task on as outputted from the VAD.
+        """
+        self._result = speech_timestamps
+
+    def get_result(self) -> Tuple[str, list]:
+        """
+        Get the result of the task. A tuple of the audio file name and the result.
+
+        :returns: The result of the task.
+        """
+        return self._audio_file.name, self._result
+
+    def to_tuple(self) -> Tuple[str, dict]:
+        """
+        Convert the task to a tuple to reconstruct it later (used for multiprocessing to pass in queue).
+
+        :returns: The converted task.
+        """
+        return self.__class__.__name__, {"audio_file": self._audio_file}
+
+
+class SpeechDiarizationTask(BaseTask):
+    """
+    A speech diarization task. The task will diarize the VAD speech timestamps into speakers.
+    """
+
+    def __init__(self, audio_file: Path, speaker_labels: List[str]):
+        """
+        Initialize the speech diarization task.
+
+        :param audio_file:     The audio file assigned to the task.
+        :param speaker_labels: The speaker labels to use for the diarization. If not given, the speakers will be named
+                               "speaker_0", "speaker_1", etc.
+        """
+        super().__init__(audio_file=audio_file)
+        self._speaker_labels = speaker_labels
+
+    def do_task(self, speech_timestamps: List[List[Dict[str, int]]]):
+        """
+        Do the task on the given speech timestamps. The task will diarize the VAD speech timestamps into speakers.
+
+        :param speech_timestamps: The speech timestamps per channel to do the task on as outputted from the VAD.
+        """
+        # Get the speaker labels (set default if not given):
+        speaker_labels = self._speaker_labels or [
+            f"speaker_{i}" for i in range(len(speech_timestamps))
+        ]
+
+        # Diarize - organize the speech timestamps into a single list of speakers and sort it by start time:
+        speech_diarization = [
+            (speech_timestamp["start"], speech_timestamp["end"], speaker_label)
+            for speaker_label, channel_speech_timestamps in zip(
+                speaker_labels, speech_timestamps
+            )
+            for speech_timestamp in channel_speech_timestamps
+        ]
+        speech_diarization.sort()
+        self._result = speech_diarization
+
+    def to_tuple(self) -> Tuple[str, dict]:
+        """
+        Convert the task to a tuple to reconstruct it later (used for multiprocessing to pass in queue).
+
+        :returns: The converted task.
+        """
+        task_class, task_kwargs = super().to_tuple()
+        return task_class, {**task_kwargs, "speaker_labels": self._speaker_labels}
+
+
+class TaskCreator:
+    """
+    A task creator to create different tasks to run after the VAD.
+    """
+
+    #: A map from task class name to task class to use in `from_tuple`:
+    _MAP = {
+        BaseTask.__name__: BaseTask,
+        SpeechDiarizationTask.__name__: SpeechDiarizationTask,
+    }
+
+    def __init__(self, task_type: Type[BaseTask], task_kwargs: dict = None):
+        """
+        Initialize the task creator.
+        :param task_type: The task type - a `BaseTask` subclass.
+        :param task_kwargs: Additional keyword arguments to pass to the to be created tasks.
+        """
+        self._task_type = task_type
+        self._task_kwargs = task_kwargs or {}
+
+    def create_task(self, audio_file: Path) -> BaseTask:
+        """
+        Create a task with the given audio file.
+
+        :param audio_file: The audio file to assign to the task.
+
+        :returns: The created task.
+        """
+        return self._task_type(audio_file=audio_file, **self._task_kwargs)
+
+    @classmethod
+    def from_tuple(cls, task_tuple: Tuple[str, dict]) -> BaseTask:
+        """
+        Create a task from a tuple of the audio file name and the task kwargs.
+
+        :param task_tuple: The task tuple to create the task from.
+
+        :returns: The created task.
+        """
+        task_class, task_kwargs = task_tuple
+        return cls._MAP[task_class](**task_kwargs)
+
+
+class VoiceActivityDetector:
+    """
+    A voice activity detection wrapper for the silero VAD model - https://github.com/snakers4/silero-vad.
+    """
+
+    def __init__(
+        self,
+        # Model loading kwargs:
+        use_onnx: bool = True,
+        force_onnx_cpu: bool = True,
+        # Detection kwargs:
+        threshold: float = 0.5,
+        sampling_rate: int = 16_000,
+        min_speech_duration_ms: int = 250,
+        max_speech_duration_s: float = float("inf"),
+        min_silence_duration_ms: int = 100,
+        window_size_samples: int = 512,
+        speech_pad_ms: int = 30,
+        return_seconds: bool = False,
+        per_channel: bool = False,
+    ):
+        """
+        Initialize the voice activity detector.
+
+        :param use_onnx:                Whether to use ONNX for inference. Default is True.
+        :param force_onnx_cpu:          Whether to force ONNX to use CPU for inference. Default is True.
+        :param threshold:               Speech threshold. Silero VAD outputs speech probabilities for each audio chunk,
+                                        probabilities ABOVE this value are considered as SPEECH. It is better to tune
+                                        this parameter for each dataset separately, but "lazy" 0.5 is pretty good for
+                                        most datasets.
+        :param sampling_rate:           Currently, silero VAD models support 8000 and 16000 sample rates.
+        :param min_speech_duration_ms:  Final speech chunks shorter min_speech_duration_ms are thrown out.
+        :param max_speech_duration_s:   Maximum duration of speech chunks in seconds. Chunks longer than
+                                        `max_speech_duration_s` will be split at the timestamp of the last silence that
+                                        lasts more than 100ms (if any), to prevent aggressive cutting. Otherwise,
+                                        they will be split aggressively just before max_speech_duration_s.
+        :param min_silence_duration_ms: In the end of each speech chunk wait for min_silence_duration_ms before
+                                        separating it.
+        :param window_size_samples:     Audio chunks of window_size_samples size are fed to the silero VAD model.
+                                        WARNING! Silero VAD models were trained using 512, 1024, 1536 samples for 16000
+                                        sample rate and 256, 512, 768 samples for 8000 sample rate. Values other than
+                                        these may affect model performance!
+        :param speech_pad_ms:           Final speech chunks are padded by speech_pad_ms each side.
+        :param return_seconds:          Whether return timestamps in seconds. False means to return timestamps in
+                                        samples (default - False).
+        :param per_channel:             Whether to return timestamps per channel (default - False). This will run VAD
+                                        on each channel separately and return a list of timestamps per channel.
+        """
+        # Store configurations:
+        self._use_onnx = use_onnx
+        self._force_onnx_cpu = force_onnx_cpu
+        self._threshold = threshold
+        self._sampling_rate = sampling_rate
+        self._min_speech_duration_ms = min_speech_duration_ms
+        self._max_speech_duration_s = max_speech_duration_s
+        self._min_silence_duration_ms = min_silence_duration_ms
+        self._window_size_samples = window_size_samples
+        self._speech_pad_ms = speech_pad_ms
+        self._return_seconds = return_seconds
+        self._per_channel = per_channel
+
+        # Prepare the model variables
+        self._model: torch.Module = None
+        self._get_speech_timestamps: FunctionType = None
+
+    def load(self, force_reload: bool = True):
+        """
+        Load the VAD model.
+
+        :param force_reload: Whether to force reload the model even if it was already loaded. Default is True.
+        """
+        model, utils = torch.hub.load(
+            repo_or_dir="snakers4/silero-vad",
+            model="silero_vad",
+            force_reload=force_reload,
+            onnx=self._use_onnx,
+            force_onnx_cpu=self._force_onnx_cpu,
+        )
+        self._model = model
+        (
+            self._get_speech_timestamps,
+            _,  # save_audio,
+            _,  # read_audio,
+            _,  # VADIterator,
+            _,  # collect_chunks
+        ) = utils
+
+    def detect_voice(
+        self,
+        audio_file: Path,
+    ) -> Union[List[Dict[str, int]], List[List[Dict[str, int]]]]:
+        """
+        Infer the audio through the VAD model and return the speech timestamps.
+
+        :param audio_file: The audio file to infer.
+
+        :returns: The speech timestamps in the audio. A list of timestamps where each timestamp is a dictionary with the
+                 following keys:
+
+                 * "start": The start sample index of the speech in the audio.
+                 * "end":   The end sample index of the speech in the audio.
+
+                 If `per_channel` is True, a list of timestamps per channel will be returned.
+        """
+        # Cast to a numpy array:
+        audio = self._read_audio(audio_file)
+
+        # Detect speech:
+        if not self._per_channel:
+            return self._get_speech_timestamps(
+                audio,
+                self._model,
+                threshold=self._threshold,
+                min_speech_duration_ms=self._min_speech_duration_ms,
+                max_speech_duration_s=self._max_speech_duration_s,
+                min_silence_duration_ms=self._min_silence_duration_ms,
+                speech_pad_ms=self._speech_pad_ms,
+                sampling_rate=self._sampling_rate,
+                window_size_samples=self._window_size_samples,
+                return_seconds=self._return_seconds,
+            )
+
+        # Per channel:
+        speech_timestamps = []
+        for channel in audio:
+            speech_timestamps.append(
+                self._get_speech_timestamps(
+                    channel,
+                    self._model,
+                    threshold=self._threshold,
+                    min_speech_duration_ms=self._min_speech_duration_ms,
+                    max_speech_duration_s=self._max_speech_duration_s,
+                    min_silence_duration_ms=self._min_silence_duration_ms,
+                    speech_pad_ms=self._speech_pad_ms,
+                    sampling_rate=self._sampling_rate,
+                    window_size_samples=self._window_size_samples,
+                    return_seconds=self._return_seconds,
+                )
+            )
+
+        return speech_timestamps
+
+    def _read_audio(
+        self,
+        path: Path,
+    ) -> torch.Tensor:
+        """
+        Read the audio from the given path and return it as a tensor.
+
+        :param path: The path to the audio file.
+
+        :returns: The audio as a tensor.
+        """
+        # Read the audio:
+        audio, sampling_rate = torchaudio.load(str(path))
+
+        # Check if the audio is stereo and if so, convert it to mono (only if not per channel):
+        if audio.size(0) > 1 and not self._per_channel:
+            audio = audio.mean(dim=0, keepdim=True)
+
+        # Resample the audio if needed:
+        if sampling_rate != self._sampling_rate:
+            transform = torchaudio.transforms.Resample(
+                orig_freq=sampling_rate, new_freq=self._sampling_rate
+            )
+            audio = transform(audio)
+
+        # Return the audio (squeeze if not per channel):
+        return audio if self._per_channel else audio.squeeze(0)
+
+
+#: The value to send into multiprocessing queues to stop the process:
+_MULTIPROCESSING_STOP_MARK = "STOP"
+
+
+def _multiprocessing_complete_tasks(
+    vad_init_kwargs: dict, tasks_queue: Queue, results_queue: Queue
+):
+    """
+    Complete the tasks in the given queue and put the results in the given results queue. The function will stop when
+    the given tasks queue will receive the stop mark. It is aimed to be used with multiprocessing as a process.
+
+    :param vad_init_kwargs: The VAD initialization kwargs.
+    :param tasks_queue:     A queue to get the tasks from.
+    :param results_queue:   A queue to put the results in.
+    """
+    # Initialize and load the VAD:
+    vad = VoiceActivityDetector(**vad_init_kwargs)
+    vad.load(force_reload=False)
+
+    # Start listening to the tasks queue:
+    while True:
+        # Get the task:
+        task: Tuple[str, dict] = tasks_queue.get()
+        if task == _MULTIPROCESSING_STOP_MARK:
+            break
+        try:
+            # Create the task:
+            task = TaskCreator.from_tuple(task_tuple=task)
+            # Run the file through the VAD:
+            speech_timestamps = vad.detect_voice(audio_file=task.audio_file)
+            # Complete the task:
+            task.do_task(speech_timestamps=speech_timestamps)
+            # Build the result:
+            result = (False, task.get_result())
+        except Exception as exception:
+            # Build the error:
+            result = (True, (task.audio_file.name, str(exception)))
+        # Collect the result / error:
+        results_queue.put(result)
+
+    # Mark the end of the tasks:
+    results_queue.put(_MULTIPROCESSING_STOP_MARK)
+
+
+# Get the global logger:
+try:
+    import mlrun
+
+    _LOGGER = mlrun.get_or_create_ctx("silero_vad").logger
+except ModuleNotFoundError:
+    _LOGGER = logging.getLogger()
+
+
+def detect_voice(
+    # Input kwargs:
+    data_path: Union[str, Path, List[Union[str, Path]]],
+    # Model loading kwargs:
+    use_onnx: bool = True,
+    force_onnx_cpu: bool = True,
+    # Detection kwargs:
+    threshold: float = 0.5,
+    sampling_rate: int = 16_000,
+    min_speech_duration_ms: int = 250,
+    max_speech_duration_s: float = float("inf"),
+    min_silence_duration_ms: int = 100,
+    window_size_samples: int = 512,
+    speech_pad_ms: int = 30,
+    return_seconds: bool = False,
+    per_channel: bool = False,
+    # Other kwargs:
+    use_multiprocessing: int = 0,
+    verbose: bool = False,
+):
+    """
+    Perform voice activity detection on given audio files using the silero VAD model -
+    https://github.com/snakers4/silero-vad. The end result is a dictionary with the file names as keys and their
+    VAD timestamps dictionaries as value.
+
+    For example::
+
+        {
+            "file_1.wav": [
+                {"start": 0, "end": 16000},
+                {"start": 16000, "end": 32000},
+                {"start": 32000, "end": 48000},
+                ...
+            ],
+            "file_2.wav": [
+                {"start": 0, "end": 16000},
+                {"start": 16000, "end": 32000},
+                {"start": 32000, "end": 48000},
+                ...
+            ],
+            ...
+        }
+
+
+    :param data_path:               The path to the audio files to diarize. Can be a path to a single file, a path to a
+                                    directory or a list of paths to files.
+    :param use_onnx:                Whether to use ONNX for inference. Default is True.
+    :param force_onnx_cpu:          Whether to force ONNX to use CPU for inference. Default is True.
+    :param threshold:               Speech threshold. Silero VAD outputs speech probabilities for each audio chunk,
+                                    probabilities ABOVE this value are considered as SPEECH. It is better to tune
+                                    this parameter for each dataset separately, but "lazy" 0.5 is pretty good for
+                                    most datasets.
+    :param sampling_rate:           Currently, silero VAD models support 8000 and 16000 sample rates.
+    :param min_speech_duration_ms:  Final speech chunks shorter min_speech_duration_ms are thrown out.
+    :param max_speech_duration_s:   Maximum duration of speech chunks in seconds. Chunks longer than
+                                    `max_speech_duration_s` will be split at the timestamp of the last silence that
+                                    lasts more than 100ms (if any), to prevent aggressive cutting. Otherwise, they will
+                                    be split aggressively just before max_speech_duration_s.
+    :param min_silence_duration_ms: In the end of each speech chunk wait for min_silence_duration_ms before separating
+                                    it.
+    :param window_size_samples:     Audio chunks of window_size_samples size are fed to the silero VAD model.
+
+                                    WARNING! Silero VAD models were trained using 512, 1024, 1536 samples for 16000
+                                    sample rate and 256, 512, 768 samples for 8000 sample rate. Values other than
+                                    these may affect model performance!
+    :param speech_pad_ms:           Final speech chunks are padded by speech_pad_ms each side.
+    :param return_seconds:          Whether return timestamps in seconds. False means to return timestamps in samples
+                                    (default - False).
+    :param per_channel:             Whether to return timestamps per channel (default - False). This will run VAD on
+                                    each channel separately and return a list of timestamps per channel.
+    :param use_multiprocessing:     The number of workers to use for multiprocessing. If 0, no multiprocessing will
+                                    be used. Default is 0.
+    :param verbose:                 Verbosity.
+    """
+    global _LOGGER
+
+    # Get the input audio files to transcribe:
+    if verbose:
+        _LOGGER.info("Collecting audio files.")
+    audio_files = _get_audio_files(data_path=data_path)
+    if verbose:
+        _LOGGER.info(f"Collected {len(audio_files)} audio files.")
+
+    # Initialize the transcription pipeline:
+    vad_init_kwargs = {
+        "use_onnx": use_onnx,
+        "force_onnx_cpu": force_onnx_cpu,
+        "threshold": threshold,
+        "sampling_rate": sampling_rate,
+        "min_speech_duration_ms": min_speech_duration_ms,
+        "max_speech_duration_s": max_speech_duration_s,
+        "min_silence_duration_ms": min_silence_duration_ms,
+        "window_size_samples": window_size_samples,
+        "speech_pad_ms": speech_pad_ms,
+        "return_seconds": return_seconds,
+        "per_channel": per_channel,
+    }
+
+    # Create the task creator:
+    task_creator = TaskCreator(task_type=BaseTask)
+
+    # Run the transcription:
+    if use_multiprocessing:
+        results = _parallel_run(
+            n_workers=use_multiprocessing,
+            audio_files=audio_files,
+            description="Detecting voice",
+            vad_init_kwargs=vad_init_kwargs,
+            task_creator=task_creator,
+            verbose=verbose,
+        )
+    else:
+        results = _run(
+            audio_files=audio_files,
+            description="Detecting voice",
+            vad_init_kwargs=vad_init_kwargs,
+            task_creator=task_creator,
+            verbose=verbose,
+        )
+
+    # Process the results:
+    return _process_results(results=results, verbose=verbose)
+
+
+def diarize(
+    # Input / Output kwargs:
+    data_path: Union[str, Path, List[Union[str, Path]]],
+    # Model loading kwargs:
+    use_onnx: bool = True,
+    force_onnx_cpu: bool = True,
+    # Detection kwargs:
+    threshold: float = 0.5,
+    sampling_rate: int = 16_000,
+    min_speech_duration_ms: int = 250,
+    max_speech_duration_s: float = float("inf"),
+    min_silence_duration_ms: int = 100,
+    window_size_samples: int = 512,
+    speech_pad_ms: int = 30,
+    # Diarization kwargs:
+    speaker_labels: List[str] = None,
+    # Other kwargs:
+    use_multiprocessing: int = 0,
+    verbose: bool = False,
+):
+    """
+    Perform speech diarization on given audio files using the silero VAD model - https://github.com/snakers4/silero-vad.
+    The speech diarization is performed per channel so that each channel in the audio belong to a different speaker. The
+    end result is a dictionary with the file names as keys and their diarization as value. A diarization is a list
+    of tuples: (start, end, speaker_label).
+
+    For example::
+
+        {
+            "file_1.wav": [
+                (0.0, 1.0, "speaker_0"),
+                (1.0, 2.0, "speaker_1"),
+                (2.0, 3.0, "speaker_0"),
+                ...
+            ],
+            "file_2.wav": [
+                (0.0, 1.0, "speaker_0"),
+                (1.0, 2.0, "speaker_1"),
+                (2.0, 3.0, "speaker_0"),
+                ...
+            ],
+            ...
+        }
+
+
+    :param data_path:               The path to the audio files to diarize. Can be a path to a single file, a path to a
+                                    directory or a list of paths to files.
+    :param use_onnx:                Whether to use ONNX for inference. Default is True.
+    :param force_onnx_cpu:          Whether to force ONNX to use CPU for inference. Default is True.
+    :param threshold:               Speech threshold. Silero VAD outputs speech probabilities for each audio chunk,
+                                    probabilities ABOVE this value are considered as SPEECH. It is better to tune
+                                    this parameter for each dataset separately, but "lazy" 0.5 is pretty good for
+                                    most datasets.
+    :param sampling_rate:           Currently, silero VAD models support 8000 and 16000 sample rates.
+    :param min_speech_duration_ms:  Final speech chunks shorter min_speech_duration_ms are thrown out.
+    :param max_speech_duration_s:   Maximum duration of speech chunks in seconds. Chunks longer than
+                                    `max_speech_duration_s` will be split at the timestamp of the last silence that
+                                    lasts more than 100ms (if any), to prevent aggressive cutting. Otherwise, they will
+                                    be split aggressively just before max_speech_duration_s.
+    :param min_silence_duration_ms: In the end of each speech chunk wait for min_silence_duration_ms before separating
+                                    it.
+    :param window_size_samples:     Audio chunks of window_size_samples size are fed to the silero VAD model.
+
+                                    WARNING! Silero VAD models were trained using 512, 1024, 1536 samples for 16000
+                                    sample rate and 256, 512, 768 samples for 8000 sample rate. Values other than
+                                    these may affect model performance!
+    :param speech_pad_ms:           Final speech chunks are padded by speech_pad_ms each side.
+    :param speaker_labels:          The speaker labels to use for the diarization. If not given, the speakers will be
+                                    named "speaker_0", "speaker_1", etc.
+    :param use_multiprocessing:     The number of workers to use for multiprocessing. If 0, no multiprocessing will
+                                    be used. Default is 0.
+    :param verbose:                 Verbosity.
+    """
+    global _LOGGER
+
+    # Get the input audio files to transcribe:
+    if verbose:
+        _LOGGER.info("Collecting audio files.")
+    audio_files = _get_audio_files(data_path=data_path)
+    if verbose:
+        _LOGGER.info(f"Collected {len(audio_files)} audio files.")
+
+    # Initialize the transcription pipeline:
+    vad_init_kwargs = {
+        "use_onnx": use_onnx,
+        "force_onnx_cpu": force_onnx_cpu,
+        "threshold": threshold,
+        "sampling_rate": sampling_rate,
+        "min_speech_duration_ms": min_speech_duration_ms,
+        "max_speech_duration_s": max_speech_duration_s,
+        "min_silence_duration_ms": min_silence_duration_ms,
+        "window_size_samples": window_size_samples,
+        "speech_pad_ms": speech_pad_ms,
+        "return_seconds": True,
+        "per_channel": True,
+    }
+
+    # Create the task creator:
+    task_creator = TaskCreator(
+        task_type=SpeechDiarizationTask, task_kwargs={"speaker_labels": speaker_labels}
+    )
+
+    # Run the transcription:
+    if use_multiprocessing:
+        results = _parallel_run(
+            n_workers=use_multiprocessing,
+            audio_files=audio_files,
+            description="Diarizing",
+            vad_init_kwargs=vad_init_kwargs,
+            task_creator=task_creator,
+            verbose=verbose,
+        )
+    else:
+        results = _run(
+            audio_files=audio_files,
+            description="Diarizing",
+            vad_init_kwargs=vad_init_kwargs,
+            task_creator=task_creator,
+            verbose=verbose,
+        )
+
+    # Process the results:
+    return _process_results(results=results, verbose=verbose)
+
+
+def _get_audio_files(
+    data_path: Union[Path, str, list],
+) -> List[Path]:
+    """
+    Get the audio files from the data path. If a path to a directory is given, all files in the directory will be
+    collected.
+
+    :param data_path: The data path to collect the audio files from.
+
+    :returns: The audio files list.
+    """
+    # Check if given a list of paths:
+    if isinstance(data_path, list):
+        audio_files = []
+        for path in data_path:
+            audio_files.extend(_get_audio_files(data_path=path))
+        return audio_files
+
+    # Check if given a single string path to cast it to a `pathlib.Path`:
+    if isinstance(data_path, str):
+        data_path = Path(data_path).absolute()
+
+    # Check if the path is of a directory or a file:
+    if data_path.is_dir():
+        # Get all files inside the directory:
+        audio_files = list(data_path.glob("*.*"))
+    elif data_path.is_file():
+        audio_files = [data_path]
+    else:
+        raise ValueError(
+            f"Unrecognized data path. The parameter `data_path` must be a valid path to either a directory path or a "
+            f"file. Given: {str(data_path)} "
+        )
+
+    return audio_files
+
+
+def _run(
+    audio_files: List[Path],
+    description: str,
+    vad_init_kwargs: dict,
+    task_creator: TaskCreator,
+    verbose: bool,
+) -> List[Tuple[bool, Tuple[str, list]]]:
+    """
+    Load a VAD and use it to complete the tasks that will be created on the provided files using the given task creator.
+
+    :param audio_files:     The audio files to use.
+    :param description:     The description to use for the progress bar.
+    :param vad_init_kwargs: The VAD initialization keyword arguments.
+    :param task_creator:    The task creator to use to create the tasks.
+    :param verbose:         Verbosity.
+
+    :returns: The collected results.
+    """
+    # Load the VAD:
+    vad = VoiceActivityDetector(**vad_init_kwargs)
+    if verbose:
+        _LOGGER.info(f"Loading the VAD model.")
+    vad.load()
+    if verbose:
+        _LOGGER.info("VAD model loaded.")
+
+    # Run the VAD on the audio files and collect the results:
+    results = []
+    for audio_file in tqdm(
+        audio_files,
+        desc=description,
+        unit="file",
+        total=len(audio_files),
+        disable=not verbose,
+    ):
+        try:
+            # Create the task:
+            task = task_creator.create_task(audio_file=audio_file)
+            # Run the file through the VAD:
+            speech_timestamps = vad.detect_voice(audio_file=audio_file)
+            # Complete the task:
+            task.do_task(speech_timestamps=speech_timestamps)
+            # Collect the result:
+            results.append((False, task.get_result()))
+        except Exception as exception:
+            # Collect the error:
+            results.append((True, (audio_file.name, str(exception))))
+
+    return results
+
+
+def _parallel_run(
+    n_workers: int,
+    audio_files: List[Path],
+    description: str,
+    vad_init_kwargs: dict,
+    task_creator: TaskCreator,
+    verbose: bool,
+) -> List[Tuple[bool, Tuple[str, list]]]:
+    """
+    Run multiple VAD workers with multiprocessing to complete the tasks that will be created on the provided files using
+    the given task creator.
+
+    :param n_workers:       The number of workers to use.
+    :param audio_files:     The audio files to use.
+    :param description:     The description to use for the progress bar.
+    :param vad_init_kwargs: The VAD initialization keyword arguments.
+    :param task_creator:    The task creator to use to create the tasks.
+    :param verbose:         Verbosity.
+
+    :returns: The collected results.
+    """
+    # Load the VAD (download once, and it will be loaded then per process later on):
+    if verbose:
+        _LOGGER.info(f"Loading the VAD model.")
+    vad = VoiceActivityDetector(**vad_init_kwargs)
+    vad.load()
+    if verbose:
+        _LOGGER.info("VAD model loaded.")
+
+    # Check the number of workers:
+    if n_workers > len(audio_files):
+        _LOGGER.warning(
+            f"The number of workers ({n_workers}) is larger than the number of audio files ({len(audio_files)}). "
+            f"Setting the number of workers to {len(audio_files)}."
+        )
+        n_workers = len(audio_files)
+
+    # Initialize the multiprocessing queues:
+    tasks_queue = Queue()
+    results_queue = Queue()
+
+    # Initialize the multiprocessing processes:
+    task_completion_processes = [
+        Process(
+            target=_multiprocessing_complete_tasks,
+            kwargs={
+                "vad_init_kwargs": vad_init_kwargs,
+                "tasks_queue": tasks_queue,
+                "results_queue": results_queue,
+            },
+        )
+        for _ in range(n_workers)
+    ]
+
+    # Start the multiprocessing processes:
+    for p in task_completion_processes:
+        p.start()
+
+    # Put the tasks in the queue:
+    for audio_file in audio_files:
+        tasks_queue.put(task_creator.create_task(audio_file=audio_file).to_tuple())
+
+    # Put the stop marks in the queue:
+    for _ in range(n_workers):
+        tasks_queue.put(_MULTIPROCESSING_STOP_MARK)
+
+    # Collect the results:
+    results = []
+    stop_marks_counter = 0
+    with tqdm(
+        desc=description,
+        unit="file",
+        total=len(audio_files),
+        disable=not verbose,
+    ) as progressbar:
+        while True:
+            # Get a result from the queue:
+            result: Tuple[bool, Tuple[str, list]] = results_queue.get()
+            if result == _MULTIPROCESSING_STOP_MARK:
+                stop_marks_counter += 1
+                if stop_marks_counter == n_workers:
+                    break
+            else:
+                # Collect the result:
+                results.append(result)
+                progressbar.update(1)
+
+    # Wait for the processes to finish:
+    for p in task_completion_processes:
+        p.join()
+
+    return results
+
+
+def _process_results(
+    results: List[Tuple[bool, Tuple[str, list]]], verbose: bool
+) -> Tuple[dict, dict]:
+    """
+    Process the results of the tasks.
+
+    :param results: The results to process.
+    :param verbose: Verbosity.
+
+    :returns: The processed results as a tuple of successes and errors.
+    """
+    if verbose:
+        _LOGGER.info("Summarizing the results.")
+    successes = {}
+    errors = {}
+    for is_error, result in results:
+        if is_error:
+            errors[result[0]] = result[1]
+        else:
+            successes[result[0]] = result[1]
+    if verbose:
+        _LOGGER.info(f"Done ({len(successes)}/{len(successes) + len(errors)})\n")
+
+    return successes, errors
+
+        </code>
+    </pre>
+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/silero_vad/latest/src/function.yaml b/functions/master/silero_vad/latest/src/function.yaml
index 1e6a5a89..8ec121a6 100644
--- a/functions/master/silero_vad/latest/src/function.yaml
+++ b/functions/master/silero_vad/latest/src/function.yaml
@@ -2,7 +2,7 @@ kind: job
 metadata:
   name: silero-vad
   tag: ''
-  hash: 61b7a70c167b7819481fdabf9350fc6fa344d2f5
+  hash: 59336f808643a74f3a2c5d506977387010427208
   project: ''
   labels:
     author: guyl
diff --git a/functions/master/silero_vad/latest/src/item.yaml b/functions/master/silero_vad/latest/src/item.yaml
index b9dac63c..9ce9a5d2 100644
--- a/functions/master/silero_vad/latest/src/item.yaml
+++ b/functions/master/silero_vad/latest/src/item.yaml
@@ -27,4 +27,4 @@ spec:
   - tqdm
   - onnxruntime
 url: ''
-version: 1.2.0
+version: 1.3.0
diff --git a/functions/master/silero_vad/latest/static/function.html b/functions/master/silero_vad/latest/static/function.html
index 0f90fdfc..3fd4119d 100644
--- a/functions/master/silero_vad/latest/static/function.html
+++ b/functions/master/silero_vad/latest/static/function.html
@@ -19,14 +19,14 @@
 metadata:
   name: silero-vad
   tag: ''
-  hash: 61b7a70c167b7819481fdabf9350fc6fa344d2f5
+  hash: 59336f808643a74f3a2c5d506977387010427208
   project: ''
   labels:
     author: guyl
   categories:
   - deep-learning
-  - PyTorch
-  - Audio
+  - pytorch
+  - audio
 spec:
   command: ''
   args: []
diff --git a/functions/master/silero_vad/latest/static/item.html b/functions/master/silero_vad/latest/static/item.html
index 5c26352e..0188aec0 100644
--- a/functions/master/silero_vad/latest/static/item.html
+++ b/functions/master/silero_vad/latest/static/item.html
@@ -18,8 +18,8 @@
 apiVersion: v1
 categories:
 - deep-learning
-- PyTorch
-- Audio
+- pytorch
+- audio
 description: Silero VAD (Voice Activity Detection) functions.
 doc: ''
 example: silero_vad.ipynb
@@ -44,7 +44,7 @@
   - tqdm
   - onnxruntime
 url: ''
-version: 1.2.0
+version: 1.3.0
 
         </code>
     </pre>
diff --git a/functions/master/structured_data_generator/1.5.0/src/function.yaml b/functions/master/structured_data_generator/1.5.0/src/function.yaml
new file mode 100644
index 00000000..1093e178
--- /dev/null
+++ b/functions/master/structured_data_generator/1.5.0/src/function.yaml
@@ -0,0 +1,71 @@
+kind: job
+metadata:
+  name: structured-data-generator
+  tag: ''
+  hash: 44bb39f4bc55b38fc7ead1df24cb02bcf7f05bc9
+  project: ''
+  labels:
+    author: zeevr
+  categories:
+  - machine-learning
+  - data-preparation
+  - data-generation
+  - genai
+spec:
+  command: ''
+  args: []
+  image: ''
+  build:
+    functionSourceCode: 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
+    base_image: mlrun/mlrun
+    commands: []
+    code_origin: ''
+    origin_filename: ''
+    requirements:
+    - langchain
+    - tqdm
+  entry_points:
+    generate_data:
+      name: generate_data
+      doc: 'Structured data of elements according to the given parameters.
+
+        The data can be later logged as a structured file with MLRun''s `returns`
+        parameter.'
+      parameters:
+      - name: fields
+        type: list
+        doc: A list of fields to randomly generate.
+      - name: amount
+        type: int
+        doc: The number of variants to generate.
+        default: 10
+      - name: model_name
+        type: str
+        doc: 'The name of the model to use for conversation generation. You should
+          choose one of GPT-4 or GPT-3.5 from the list here: https://platform.openai.com/docs/models.
+          Default: ''gpt-3.5-turbo''.'
+        default: gpt-3.5-turbo
+      - name: language
+        type: str
+        doc: The language to use for the generated conversation text.
+        default: en
+      - name: chunk_size
+        type: int
+        doc: Number of samples generated at each GPT query.
+        default: 50
+      outputs:
+      - type: list
+      lineno: 59
+      has_varargs: false
+      has_kwargs: false
+  description: GenAI approach of generating structured data according to a given schema
+  default_handler: generate_data
+  disable_auto_mount: false
+  clone_target_dir: ''
+  env: []
+  priority_class_name: ''
+  preemption_mode: prevent
+  affinity: null
+  tolerations: null
+  security_context: {}
+verbose: false
diff --git a/functions/master/structured_data_generator/1.5.0/src/item.yaml b/functions/master/structured_data_generator/1.5.0/src/item.yaml
new file mode 100755
index 00000000..be2a2a94
--- /dev/null
+++ b/functions/master/structured_data_generator/1.5.0/src/item.yaml
@@ -0,0 +1,29 @@
+apiVersion: v1
+categories:
+- machine-learning
+- data-preparation
+- data-generation
+- genai
+description: GenAI approach of generating structured data according to a given schema
+doc: ''
+example: structured_data_generator.ipynb
+generationDate: 2023-12-14:10-50
+hidden: false
+icon: ''
+labels:
+  author: zeevr
+maintainers: []
+marketplaceType: ''
+mlrunVersion: 1.6.1
+name: structured_data_generator
+platformVersion: 3.5.5
+spec:
+  filename: structured_data_generator.py
+  handler: generate_data
+  image: mlrun/mlrun
+  kind: job
+  requirements:
+  - langchain
+  - tqdm
+url: ''
+version: 1.5.0
diff --git a/functions/master/structured_data_generator/1.5.0/src/structured_data_generator.ipynb b/functions/master/structured_data_generator/1.5.0/src/structured_data_generator.ipynb
new file mode 100644
index 00000000..12f87cf0
--- /dev/null
+++ b/functions/master/structured_data_generator/1.5.0/src/structured_data_generator.ipynb
@@ -0,0 +1,137 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "9f7d79e7-8199-4680-919f-5039e8d7a0fe",
+   "metadata": {},
+   "source": [
+    "# structured_data_generator example"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4df1c846-2391-49a4-b65f-e7cff69dcdd9",
+   "metadata": {},
+   "source": [
+    "Introducing our innovative hub function, structured_data_generator, designed to streamline the process of creating structured files based on a list of fields.<br>\n",
+    "This powerful function takes user-provided fields as input and dynamically generates relevant data, crafting a comprehensive structured file that aligns with the specified themes.<br>\n",
+    "Whether you're working on content creation, testing scenarios, or simply need diverse data for development purposes, structured_data_generator is your go-to tool.<br>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3913a3b7-48c1-4b5a-8a28-8f2c93fc05d1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import mlrun"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "010c16e7-9d0a-42b1-9f09-141b72048885",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# OpenAI tokens:\n",
+    "OPENAI_API_KEY = \"\"\n",
+    "OPENAI_API_BASE = \"\"\n",
+    "os.environ[\"OPENAI_API_KEY\"] = OPENAI_API_KEY\n",
+    "os.environ[\"OPENAI_API_BASE\"] = OPENAI_API_BASE"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "324f2120-bcd9-4b61-a418-9c810709b6cf",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create mlrun project\n",
+    "project = mlrun.get_or_create_project(\"structured-data-generator-test\")\n",
+    "\n",
+    "# Import the function from the yaml file, once it's in the hub we can import from there \n",
+    "data_generation = project.set_function(func=\"./structured_data_generator.py\", name=\"structured_data_generator\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "999739d0-c8bf-48c3-8f57-b3c9ffec1a7f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Run the imported function with desired file/s and params\n",
+    "data_generation_run = data_generation.run(\n",
+    "    handler=\"generate_data\",\n",
+    "            params={\n",
+    "                \"amount\": 5,\n",
+    "                \"model_name\": \"gpt-4\",\n",
+    "                \"language\": \"en\",\n",
+    "                \"fields\": [\"first name\", \"last_name\", \"phone_number: at least 9 digits long\", \"email\", \"client_id: at least 8 digits long, only numbers\"],\n",
+    "            },\n",
+    "            returns=[\n",
+    "                \"clients: file\",\n",
+    "            ],\n",
+    "    local=True,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "dde97e2b-8570-4df4-84aa-04c341f455c9",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5d70ceee-d17b-4901-9e8c-c9eda72f4e57",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c3ea3341-80cc-4c87-a914-f2f3ffa1d491",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "24983bf4-9fb0-4ebd-97cb-20e87859c22a",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "mlrun-base",
+   "language": "python",
+   "name": "conda-env-mlrun-base-py"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.16"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/functions/master/structured_data_generator/1.5.0/src/structured_data_generator.py b/functions/master/structured_data_generator/1.5.0/src/structured_data_generator.py
new file mode 100644
index 00000000..34fa36d4
--- /dev/null
+++ b/functions/master/structured_data_generator/1.5.0/src/structured_data_generator.py
@@ -0,0 +1,142 @@
+# Copyright 2023 Iguazio
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+import ast
+import os
+
+import tqdm
+from langchain.chat_models import ChatOpenAI
+
+
+def _set_openai_secrets() -> bool:
+    key = "OPENAI_API_KEY"
+    base = "OPENAI_API_BASE"
+    # Check if the key is already in the environment variables:
+    if key in os.environ and base in os.environ:
+        return True
+    # Check if mlrun is installed:
+    try:
+        import mlrun
+    except ModuleNotFoundError:
+        raise EnvironmentError(
+            f"One or more of the OpenAI required environment variables ('{key}', '{base}') are missing."
+            f"Please set them as environment variables or install mlrun (`pip install mlrun`)"
+            f"and set them as project secrets using `projecy.set_secrets`."
+        )
+
+    # Check if the key is in the secrets:
+    context = mlrun.get_or_create_ctx(name="context")
+    openai_key = context.get_secret(key)
+    openai_base = context.get_secret(base)
+
+    # If the key is not in the secrets, return False:
+    if not openai_key:
+        raise EnvironmentError(
+            f"Could not find OpenAI API key in the environment variables or secrets,"
+            f" please set it as: {key}."
+        )
+    if not openai_base:
+        raise EnvironmentError(
+            f"Could not find OpenAI API base in the environment variables or secrets,"
+            f" please set it as: {base}."
+        )
+    # If the key is in the secrets, set it in the environment variables and return True:
+    os.environ[key] = openai_key
+    os.environ[base] = openai_base
+    return True
+
+
+def generate_data(
+    fields: list,
+    amount: int = 10,
+    model_name: str = "gpt-3.5-turbo",
+    language: str = "en",
+    chunk_size: int = 50,
+) -> list:
+    """
+    Structured data of elements according to the given parameters.
+    The data can be later logged as a structured file with MLRun's `returns` parameter.
+
+    :param fields: A list of fields to randomly generate.
+    :param amount: The number of variants to generate.
+    :param model_name: The name of the model to use for conversation generation.
+                       You should choose one of GPT-4 or GPT-3.5 from the list here: https://platform.openai.com/docs/models.
+                       Default: 'gpt-3.5-turbo'.
+    :param language: The language to use for the generated conversation text.
+    :param chunk_size: Number of samples generated at each GPT query.
+    """
+    instructions = ""
+    for field in fields:
+        # Split the field to key and instruction:
+        if ":" in field:
+            key, instruction = field.split(":", 1)
+        else:
+            key, instruction = field, "no special instruction"
+        # Replace spaces with underscores for the key to be used as a json key:
+        key = key.strip().replace(" ", "_")
+        instructions += f"* {key}: {instruction}\n"
+
+    # Create the prompt structure:
+    prompt_structure = (
+        f"generate the following values {amount} times randomly, in an order that creates a json table.\n"
+        f"Use the following keys and instructions (example: 'key: instruction or no special instruction'): "
+        f"{instructions}.\n"
+        f"Please generate the values in {language} language. \n"
+        f"Make sure the names of the keys are the same as the given field name.\n"
+        f"Please return only the json format without any introduction and ending"
+    )
+
+    # Set the OpenAI secrets:
+    _set_openai_secrets()
+
+    # Load the OpenAI model using langchain:
+    llm = ChatOpenAI(model=model_name)
+
+    # Start generating data:
+    data = []
+    for _ in tqdm.tqdm(range((amount // chunk_size) + 1), desc="Generating"):
+        # We try to generate the data 3 times, if we fail we raise an error:
+        for tryout in range(3):
+            # If the amount wanted is bigger than the chunk size, we generate a chunk of data in the size of the chunk
+            # and decrease the amount by the chunk size.
+            # otherwise we generate a chunk of data in the size of the amount:
+            if amount > chunk_size:
+                current_chunk_size = chunk_size
+                amount -= chunk_size
+            else:
+                current_chunk_size = amount
+
+            # Create the prompt:
+            prompt = prompt_structure.format(
+                amount=current_chunk_size,
+            )
+
+            # Generate a chunk of data:
+            chunk_data = llm.predict(text=prompt)
+
+            # Validate the response for correct python `list` structure
+            chunk_data = chunk_data[chunk_data.find("[") : chunk_data.rfind("]") + 1]
+            if chunk_data.count("[") != chunk_data.count("]"):
+                print(
+                    "Failed to get proper json format from model, number of '[' doesn't match number of ']'."
+                )
+                continue
+            chunk_data = ast.literal_eval(chunk_data)
+            data += chunk_data
+            break
+        if tryout == 3:
+            raise RuntimeError(
+                f"Could not generate a proper json format for the given fields, using given model: {model_name}."
+                f" Hint: Gpt-4 works best for most scenarios."
+            )
+    return data
diff --git a/functions/master/structured_data_generator/1.5.0/src/test_structured_data_generator.py b/functions/master/structured_data_generator/1.5.0/src/test_structured_data_generator.py
new file mode 100644
index 00000000..3a7a7aa5
--- /dev/null
+++ b/functions/master/structured_data_generator/1.5.0/src/test_structured_data_generator.py
@@ -0,0 +1,37 @@
+import os
+import mlrun
+import pytest
+
+
+@pytest.mark.skipif("OPENAI_API_KEY" not in os.environ, reason="no token")
+def test_structured_data_generator():
+    # Create mlrun project
+    project = mlrun.get_or_create_project("structured-data-generator-test")
+
+    #Set secrets
+    # project.set_secrets({"OPENAI_API_KEY": "", "OPENAI_API_BASE": ""})
+
+    # Import the function from the yaml file, once it's in the hub we can import from there
+    data_generation = project.set_function(func="structured_data_generator.py", name="structured_data_generator")
+
+    # Run the imported function with desired file/s and params
+    data_generation_run = data_generation.run(
+        handler="generate_data",
+        params={
+            "amount": 3,
+            "model_name": "gpt-4",
+            "language": "en",
+            "fields": [
+                "first name",
+                "last_name",
+                "phone_number: at least 9 digits long",
+                "email",
+                "client_id: at least 8 digits long, only numbers"
+            ],
+        },
+        returns=[
+            "clients: file",
+        ],
+        local=True,
+    )
+    assert data_generation_run.outputs["clients"]
\ No newline at end of file
diff --git a/functions/master/structured_data_generator/1.5.0/static/documentation.html b/functions/master/structured_data_generator/1.5.0/static/documentation.html
new file mode 100644
index 00000000..e037a5f7
--- /dev/null
+++ b/functions/master/structured_data_generator/1.5.0/static/documentation.html
@@ -0,0 +1,241 @@
+
+<!DOCTYPE html>
+
+<html lang="en">
+<head>
+<meta charset="utf-8"/>
+<meta content="width=device-width, initial-scale=1.0" name="viewport"/><meta content="Docutils 0.17.1: http://docutils.sourceforge.net/" name="generator"/>
+<title>structured_data_generator package</title>
+<!-- Loaded before other Sphinx assets -->
+<link href="../../../_static/styles/theme.css?digest=1999514e3f237ded88cf" rel="stylesheet"/>
+<link href="../../../_static/styles/pydata-sphinx-theme.css?digest=1999514e3f237ded88cf" rel="stylesheet"/>
+<link href="../../../_static/vendor/fontawesome/5.13.0/css/all.min.css" rel="stylesheet"/>
+<link as="font" crossorigin="" href="../../../_static/vendor/fontawesome/5.13.0/webfonts/fa-solid-900.woff2" rel="preload" type="font/woff2"/>
+<link as="font" crossorigin="" href="../../../_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2" rel="preload" type="font/woff2"/>
+<link href="../../../_static/pygments.css" rel="stylesheet" type="text/css">
+<link href="../../../_static/styles/sphinx-book-theme.css?digest=5115cc725059bd94278eecd172e13a965bf8f5a9" rel="stylesheet" type="text/css">
+<link href="../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" rel="stylesheet" type="text/css">
+<link href="../../../_static/togglebutton.css" rel="stylesheet" type="text/css">
+<!-- Pre-loaded scripts that we'll load fully later -->
+<link as="script" href="../../../_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf" rel="preload"/>
+<script src="../../../_static/scripts/sphinx-book-theme.js?digest=9c920249402e914e316237a7dbc6769907cce411"></script>
+<script data-url_root="./" id="documentation_options" src="../../../_static/documentation_options.js"></script>
+<script src="../../../_static/jquery.js"></script>
+<script src="../../../_static/underscore.js"></script>
+<script src="../../../_static/doctools.js"></script>
+<script>let toggleHintShow = 'Click to show';</script>
+<script>let toggleHintHide = 'Click to hide';</script>
+<script>let toggleOpenOnPrint = 'true';</script>
+<script src="../../../_static/togglebutton.js"></script>
+<script src="../../../_static/scripts/sphinx-book-theme.js"></script>
+<script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+<link href="genindex.html" rel="index" title="Index">
+<link href="search.html" rel="search" title="Search">
+<meta content="width=device-width, initial-scale=1" name="viewport"/>
+<meta content="en" name="docsearch:language"/>
+<!-- Google Analytics -->
+</link></link></link></link></link></link></head>
+<body data-offset="60" data-spy="scroll" data-target="#bd-toc-nav">
+<!-- Checkboxes to toggle the left sidebar -->
+<input aria-label="Toggle navigation sidebar" class="sidebar-toggle" id="__navigation" name="__navigation" type="checkbox"/>
+<label class="overlay overlay-navbar" for="__navigation">
+<div class="visually-hidden">Toggle navigation sidebar</div>
+</label>
+<!-- Checkboxes to toggle the in-page toc -->
+<input aria-label="Toggle in-page Table of Contents" class="sidebar-toggle" id="__page-toc" name="__page-toc" type="checkbox"/>
+<label class="overlay overlay-pagetoc" for="__page-toc">
+<div class="visually-hidden">Toggle in-page Table of Contents</div>
+</label>
+<!-- Headers at the top -->
+<div class="announcement header-item noprint"></div>
+<div class="header header-item noprint"></div>
+<div class="container-fluid" id="banner"></div>
+<div class="container-xl">
+<div class="row">
+<!-- Sidebar -->
+<div class="bd-sidebar noprint single-page" id="site-navigation">
+</div>
+<!-- A tiny helper pixel to detect if we've scrolled -->
+<div class="sbt-scroll-pixel-helper"></div>
+<!-- Main content -->
+<div class="col py-0 content-container">
+<div class="header-article row sticky-top noprint">
+<div class="col py-1 d-flex header-article-main">
+<div class="header-article__left">
+</div>
+<div class="header-article__right">
+<button class="headerbtn" data-placement="bottom" data-toggle="tooltip" onclick="toggleFullScreen()" title="Fullscreen mode">
+<span class="headerbtn__icon-container">
+<i class="fas fa-expand"></i>
+</span>
+</button>
+<div class="menu-dropdown menu-dropdown-repository-buttons">
+<button aria-label="Source repositories" class="headerbtn menu-dropdown__trigger">
+<i class="fab fa-github"></i>
+</button>
+<div class="menu-dropdown__content">
+<ul>
+<li>
+<a class="headerbtn" data-placement="left" data-toggle="tooltip" href="https://github.com/mlrun/marketplace" title="Source repository">
+<span class="headerbtn__icon-container">
+<i class="fab fa-github"></i>
+</span>
+<span class="headerbtn__text-container">repository</span>
+</a>
+</li>
+<li>
+<a class="headerbtn" data-placement="left" data-toggle="tooltip" href="https://github.com/mlrun/marketplace/issues/new?title=Issue%20on%20page%20%2Fstructured_data_generator.html&amp;body=Your%20issue%20content%20here." title="Open an issue">
+<span class="headerbtn__icon-container">
+<i class="fas fa-lightbulb"></i>
+</span>
+<span class="headerbtn__text-container">open issue</span>
+</a>
+</li>
+<li>
+
+</li>
+</ul>
+</div>
+</div>
+<div class="menu-dropdown menu-dropdown-download-buttons">
+<button aria-label="Download this page" class="headerbtn menu-dropdown__trigger">
+<i class="fas fa-download"></i>
+</button>
+<div class="menu-dropdown__content">
+<ul>
+<li>
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+<li>
+<button class="headerbtn" data-placement="left" data-toggle="tooltip" onclick="printPdf(this)" title="Print to PDF">
+<span class="headerbtn__icon-container">
+<i class="fas fa-file-pdf"></i>
+</span>
+<span class="headerbtn__text-container">.pdf</span>
+</button>
+</li>
+</ul>
+</div>
+</div>
+<label class="headerbtn headerbtn-page-toc" for="__page-toc">
+<span class="headerbtn__icon-container">
+<i class="fas fa-list"></i>
+</span>
+</label>
+</div>
+</div>
+<!-- Table of contents -->
+<div class="col-md-3 bd-toc show noprint">
+<div class="tocsection onthispage pt-5 pb-3">
+<i class="fas fa-list"></i> Contents
+    </div>
+<nav aria-label="Page" id="bd-toc-nav">
+<ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#submodules">
+   Submodules
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#module-structured_data_generator.structured_data_generator">
+   structured_data_generator.structured_data_generator module
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#module-structured_data_generator">
+   Module contents
+  </a>
+</li>
+</ul>
+</nav>
+</div>
+</div>
+<div class="article row">
+<div class="col pl-md-3 pl-lg-5 content-container">
+<!-- Table of contents that is only displayed when printing the page -->
+<div class="onlyprint" id="jb-print-docs-body">
+<h1>structured_data_generator package</h1>
+<!-- Table of contents -->
+<div id="print-main-content">
+<div id="jb-print-toc">
+<div>
+<h2> Contents </h2>
+</div>
+<nav aria-label="Page">
+<ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#submodules">
+   Submodules
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#module-structured_data_generator.structured_data_generator">
+   structured_data_generator.structured_data_generator module
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#module-structured_data_generator">
+   Module contents
+  </a>
+</li>
+</ul>
+</nav>
+</div>
+</div>
+</div>
+<main id="main-content" role="main">
+<div>
+<section id="structured-data-generator-package">
+<h1>structured_data_generator package<a class="headerlink" href="#structured-data-generator-package" title="Permalink to this headline">#</a></h1>
+<section id="submodules">
+<h2>Submodules<a class="headerlink" href="#submodules" title="Permalink to this headline">#</a></h2>
+</section>
+<section id="module-structured_data_generator.structured_data_generator">
+<span id="structured-data-generator-structured-data-generator-module"></span><h2>structured_data_generator.structured_data_generator module<a class="headerlink" href="#module-structured_data_generator.structured_data_generator" title="Permalink to this headline">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="structured_data_generator.structured_data_generator.generate_data">
+<span class="sig-prename descclassname"><span class="pre">structured_data_generator.structured_data_generator.</span></span><span class="sig-name descname"><span class="pre">generate_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fields</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">amount</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'gpt-3.5-turbo'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">language</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'en'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">chunk_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">50</span></span></em><span class="sig-paren">)</span> → <span class="pre">list</span><a class="reference internal" href="structured_data_generator.html#generate_data"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#structured_data_generator.structured_data_generator.generate_data" title="Permalink to this definition">#</a></dt>
+<dd><p>Structured data of elements according to the given parameters.
+The data can be later logged as a structured file with MLRun’s <cite>returns</cite> parameter.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>fields</strong> – A list of fields to randomly generate.</p></li>
+<li><p><strong>amount</strong> – The number of variants to generate.</p></li>
+<li><p><strong>model_name</strong> – The name of the model to use for conversation generation.
+You should choose one of GPT-4 or GPT-3.5 from the list here: <a class="reference external" href="https://platform.openai.com/docs/models">https://platform.openai.com/docs/models</a>.
+Default: ‘gpt-3.5-turbo’.</p></li>
+<li><p><strong>language</strong> – The language to use for the generated conversation text.</p></li>
+<li><p><strong>chunk_size</strong> – Number of samples generated at each GPT query.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+</section>
+<section id="module-structured_data_generator">
+<span id="module-contents"></span><h2>Module contents<a class="headerlink" href="#module-structured_data_generator" title="Permalink to this headline">#</a></h2>
+</section>
+</section>
+</div>
+</main>
+<footer class="footer-article noprint">
+<!-- Previous / next buttons -->
+<div class="prev-next-area">
+</div>
+</footer>
+</div>
+</div>
+<div class="footer-content row">
+<footer class="col footer"><p>
+  
+      © Copyright .<br/>
+</p>
+</footer>
+</div>
+</div>
+</div>
+</div>
+<!-- Scripts loaded after <body> so the DOM is not blocked -->
+<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf"></script>
+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/structured_data_generator/1.5.0/static/example.html b/functions/master/structured_data_generator/1.5.0/static/example.html
new file mode 100644
index 00000000..c7a44b9d
--- /dev/null
+++ b/functions/master/structured_data_generator/1.5.0/static/example.html
@@ -0,0 +1,227 @@
+
+<!DOCTYPE html>
+
+<html lang="en">
+<head>
+<meta charset="utf-8"/>
+<meta content="width=device-width, initial-scale=1.0" name="viewport"/><meta content="Docutils 0.17.1: http://docutils.sourceforge.net/" name="generator"/>
+<title>structured_data_generator example</title>
+<!-- Loaded before other Sphinx assets -->
+<link href="../../../_static/styles/theme.css?digest=1999514e3f237ded88cf" rel="stylesheet"/>
+<link href="../../../_static/styles/pydata-sphinx-theme.css?digest=1999514e3f237ded88cf" rel="stylesheet"/>
+<link href="../../../_static/vendor/fontawesome/5.13.0/css/all.min.css" rel="stylesheet"/>
+<link as="font" crossorigin="" href="../../../_static/vendor/fontawesome/5.13.0/webfonts/fa-solid-900.woff2" rel="preload" type="font/woff2"/>
+<link as="font" crossorigin="" href="../../../_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2" rel="preload" type="font/woff2"/>
+<link href="../../../_static/pygments.css" rel="stylesheet" type="text/css">
+<link href="../../../_static/styles/sphinx-book-theme.css?digest=5115cc725059bd94278eecd172e13a965bf8f5a9" rel="stylesheet" type="text/css">
+<link href="../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" rel="stylesheet" type="text/css">
+<link href="../../../_static/togglebutton.css" rel="stylesheet" type="text/css">
+<!-- Pre-loaded scripts that we'll load fully later -->
+<link as="script" href="../../../_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf" rel="preload"/>
+<script src="../../../_static/scripts/sphinx-book-theme.js?digest=9c920249402e914e316237a7dbc6769907cce411"></script>
+<script data-url_root="./" id="documentation_options" src="../../../_static/documentation_options.js"></script>
+<script src="../../../_static/jquery.js"></script>
+<script src="../../../_static/underscore.js"></script>
+<script src="../../../_static/doctools.js"></script>
+<script>let toggleHintShow = 'Click to show';</script>
+<script>let toggleHintHide = 'Click to hide';</script>
+<script>let toggleOpenOnPrint = 'true';</script>
+<script src="../../../_static/togglebutton.js"></script>
+<script src="../../../_static/scripts/sphinx-book-theme.js"></script>
+<script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+<link href="genindex.html" rel="index" title="Index">
+<link href="search.html" rel="search" title="Search">
+<meta content="width=device-width, initial-scale=1" name="viewport"/>
+<meta content="en" name="docsearch:language"/>
+<!-- Google Analytics -->
+</link></link></link></link></link></link></head>
+<body data-offset="60" data-spy="scroll" data-target="#bd-toc-nav">
+<!-- Checkboxes to toggle the left sidebar -->
+<input aria-label="Toggle navigation sidebar" class="sidebar-toggle" id="__navigation" name="__navigation" type="checkbox"/>
+<label class="overlay overlay-navbar" for="__navigation">
+<div class="visually-hidden">Toggle navigation sidebar</div>
+</label>
+<!-- Checkboxes to toggle the in-page toc -->
+<input aria-label="Toggle in-page Table of Contents" class="sidebar-toggle" id="__page-toc" name="__page-toc" type="checkbox"/>
+<label class="overlay overlay-pagetoc" for="__page-toc">
+<div class="visually-hidden">Toggle in-page Table of Contents</div>
+</label>
+<!-- Headers at the top -->
+<div class="announcement header-item noprint"></div>
+<div class="header header-item noprint"></div>
+<div class="container-fluid" id="banner"></div>
+<div class="container-xl">
+<div class="row">
+<!-- Sidebar -->
+<div class="bd-sidebar noprint single-page" id="site-navigation">
+</div>
+<!-- A tiny helper pixel to detect if we've scrolled -->
+<div class="sbt-scroll-pixel-helper"></div>
+<!-- Main content -->
+<div class="col py-0 content-container">
+<div class="header-article row sticky-top noprint">
+<div class="col py-1 d-flex header-article-main">
+<div class="header-article__left">
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+<h1>structured_data_generator example</h1>
+<!-- Table of contents -->
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+<div id="jb-print-toc">
+</div>
+</div>
+</div>
+<main id="main-content" role="main">
+<div>
+<section id="structured-data-generator-example">
+<h1>structured_data_generator example<a class="headerlink" href="#structured-data-generator-example" title="Permalink to this headline">#</a></h1>
+<p>Introducing our innovative hub function, structured_data_generator, designed to streamline the process of creating structured files based on a list of fields.<br/>
+This powerful function takes user-provided fields as input and dynamically generates relevant data, crafting a comprehensive structured file that aligns with the specified themes.<br/>
+Whether you’re working on content creation, testing scenarios, or simply need diverse data for development purposes, structured_data_generator is your go-to tool.<br/></p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">import</span> <span class="nn">mlrun</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># OpenAI tokens:</span>
+<span class="n">OPENAI_API_KEY</span> <span class="o">=</span> <span class="s2">""</span>
+<span class="n">OPENAI_API_BASE</span> <span class="o">=</span> <span class="s2">""</span>
+<span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">[</span><span class="s2">"OPENAI_API_KEY"</span><span class="p">]</span> <span class="o">=</span> <span class="n">OPENAI_API_KEY</span>
+<span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">[</span><span class="s2">"OPENAI_API_BASE"</span><span class="p">]</span> <span class="o">=</span> <span class="n">OPENAI_API_BASE</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Create mlrun project</span>
+<span class="n">project</span> <span class="o">=</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">get_or_create_project</span><span class="p">(</span><span class="s2">"structured-data-generator-test"</span><span class="p">)</span>
+
+<span class="c1"># Import the function from the yaml file, once it's in the hub we can import from there </span>
+<span class="n">data_generation</span> <span class="o">=</span> <span class="n">project</span><span class="o">.</span><span class="n">set_function</span><span class="p">(</span><span class="n">func</span><span class="o">=</span><span class="s2">"./structured_data_generator.py"</span><span class="p">,</span> <span class="n">name</span><span class="o">=</span><span class="s2">"structured_data_generator"</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Run the imported function with desired file/s and params</span>
+<span class="n">data_generation_run</span> <span class="o">=</span> <span class="n">data_generation</span><span class="o">.</span><span class="n">run</span><span class="p">(</span>
+    <span class="n">handler</span><span class="o">=</span><span class="s2">"generate_data"</span><span class="p">,</span>
+            <span class="n">params</span><span class="o">=</span><span class="p">{</span>
+                <span class="s2">"amount"</span><span class="p">:</span> <span class="mi">5</span><span class="p">,</span>
+                <span class="s2">"model_name"</span><span class="p">:</span> <span class="s2">"gpt-4"</span><span class="p">,</span>
+                <span class="s2">"language"</span><span class="p">:</span> <span class="s2">"en"</span><span class="p">,</span>
+                <span class="s2">"fields"</span><span class="p">:</span> <span class="p">[</span><span class="s2">"first name"</span><span class="p">,</span> <span class="s2">"last_name"</span><span class="p">,</span> <span class="s2">"phone_number: at least 9 digits long"</span><span class="p">,</span> <span class="s2">"email"</span><span class="p">,</span> <span class="s2">"client_id: at least 8 digits long, only numbers"</span><span class="p">],</span>
+            <span class="p">},</span>
+            <span class="n">returns</span><span class="o">=</span><span class="p">[</span>
+                <span class="s2">"clients: file"</span><span class="p">,</span>
+            <span class="p">],</span>
+    <span class="n">local</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+<span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
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diff --git a/functions/master/structured_data_generator/1.5.0/static/function.html b/functions/master/structured_data_generator/1.5.0/static/function.html
new file mode 100644
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--- /dev/null
+++ b/functions/master/structured_data_generator/1.5.0/static/function.html
@@ -0,0 +1,93 @@
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta content="IE=edge" http-equiv="X-UA-Compatible">
+    <meta content="width=device-width, initial-scale=1.0" name="viewport">
+    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/styles/atom-one-dark.min.css">
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/highlight.min.js"></script>
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/languages/yaml.min.js"></script>
+    <title>Source</title>
+    <script>hljs.highlightAll();</script>
+</head>
+
+<body style="background-color:darkgray; margin: 0 0 0 0;">
+    <pre style="margin: 0 1em;">
+        <code class="yaml">
+kind: job
+metadata:
+  name: structured-data-generator
+  tag: ''
+  hash: 44bb39f4bc55b38fc7ead1df24cb02bcf7f05bc9
+  project: ''
+  labels:
+    author: zeevr
+  categories:
+  - machine-learning
+  - data-preparation
+  - data-generation
+  - genai
+spec:
+  command: ''
+  args: []
+  image: ''
+  build:
+    functionSourceCode: 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
+    base_image: mlrun/mlrun
+    commands: []
+    code_origin: ''
+    origin_filename: ''
+    requirements:
+    - langchain
+    - tqdm
+  entry_points:
+    generate_data:
+      name: generate_data
+      doc: 'Structured data of elements according to the given parameters.
+
+        The data can be later logged as a structured file with MLRun''s `returns`
+        parameter.'
+      parameters:
+      - name: fields
+        type: list
+        doc: A list of fields to randomly generate.
+      - name: amount
+        type: int
+        doc: The number of variants to generate.
+        default: 10
+      - name: model_name
+        type: str
+        doc: 'The name of the model to use for conversation generation. You should
+          choose one of GPT-4 or GPT-3.5 from the list here: https://platform.openai.com/docs/models.
+          Default: ''gpt-3.5-turbo''.'
+        default: gpt-3.5-turbo
+      - name: language
+        type: str
+        doc: The language to use for the generated conversation text.
+        default: en
+      - name: chunk_size
+        type: int
+        doc: Number of samples generated at each GPT query.
+        default: 50
+      outputs:
+      - type: list
+      lineno: 59
+      has_varargs: false
+      has_kwargs: false
+  description: GenAI approach of generating structured data according to a given schema
+  default_handler: generate_data
+  disable_auto_mount: false
+  clone_target_dir: ''
+  env: []
+  priority_class_name: ''
+  preemption_mode: prevent
+  affinity: null
+  tolerations: null
+  security_context: {}
+verbose: false
+
+        </code>
+    </pre>
+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/structured_data_generator/1.5.0/static/item.html b/functions/master/structured_data_generator/1.5.0/static/item.html
new file mode 100644
index 00000000..b5ab71d0
--- /dev/null
+++ b/functions/master/structured_data_generator/1.5.0/static/item.html
@@ -0,0 +1,51 @@
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta content="IE=edge" http-equiv="X-UA-Compatible">
+    <meta content="width=device-width, initial-scale=1.0" name="viewport">
+    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/styles/atom-one-dark.min.css">
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/highlight.min.js"></script>
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/languages/yaml.min.js"></script>
+    <title>Source</title>
+    <script>hljs.highlightAll();</script>
+</head>
+
+<body style="background-color:darkgray; margin: 0 0 0 0;">
+    <pre style="margin: 0 1em;">
+        <code class="yaml">
+apiVersion: v1
+categories:
+- machine-learning
+- data-preparation
+- data-generation
+- genai
+description: GenAI approach of generating structured data according to a given schema
+doc: ''
+example: structured_data_generator.ipynb
+generationDate: 2023-12-14:10-50
+hidden: false
+icon: ''
+labels:
+  author: zeevr
+maintainers: []
+marketplaceType: ''
+mlrunVersion: 1.6.1
+name: structured_data_generator
+platformVersion: 3.5.5
+spec:
+  filename: structured_data_generator.py
+  handler: generate_data
+  image: mlrun/mlrun
+  kind: job
+  requirements:
+  - langchain
+  - tqdm
+url: ''
+version: 1.5.0
+
+        </code>
+    </pre>
+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/structured_data_generator/1.5.0/static/source.html b/functions/master/structured_data_generator/1.5.0/static/source.html
new file mode 100644
index 00000000..646f8844
--- /dev/null
+++ b/functions/master/structured_data_generator/1.5.0/static/source.html
@@ -0,0 +1,164 @@
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta content="IE=edge" http-equiv="X-UA-Compatible">
+    <meta content="width=device-width, initial-scale=1.0" name="viewport">
+    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/styles/atom-one-dark.min.css">
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/highlight.min.js"></script>
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/languages/python.min.js"></script>
+    <title>Source</title>
+    <script>hljs.highlightAll();</script>
+</head>
+
+<body style="background-color:darkgray; margin: 0 0 0 0;">
+    <pre style="margin: 0 1em;">
+        <code class="python">
+# Copyright 2023 Iguazio
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+import ast
+import os
+
+import tqdm
+from langchain.chat_models import ChatOpenAI
+
+
+def _set_openai_secrets() -> bool:
+    key = "OPENAI_API_KEY"
+    base = "OPENAI_API_BASE"
+    # Check if the key is already in the environment variables:
+    if key in os.environ and base in os.environ:
+        return True
+    # Check if mlrun is installed:
+    try:
+        import mlrun
+    except ModuleNotFoundError:
+        raise EnvironmentError(
+            f"One or more of the OpenAI required environment variables ('{key}', '{base}') are missing."
+            f"Please set them as environment variables or install mlrun (`pip install mlrun`)"
+            f"and set them as project secrets using `projecy.set_secrets`."
+        )
+
+    # Check if the key is in the secrets:
+    context = mlrun.get_or_create_ctx(name="context")
+    openai_key = context.get_secret(key)
+    openai_base = context.get_secret(base)
+
+    # If the key is not in the secrets, return False:
+    if not openai_key:
+        raise EnvironmentError(
+            f"Could not find OpenAI API key in the environment variables or secrets,"
+            f" please set it as: {key}."
+        )
+    if not openai_base:
+        raise EnvironmentError(
+            f"Could not find OpenAI API base in the environment variables or secrets,"
+            f" please set it as: {base}."
+        )
+    # If the key is in the secrets, set it in the environment variables and return True:
+    os.environ[key] = openai_key
+    os.environ[base] = openai_base
+    return True
+
+
+def generate_data(
+    fields: list,
+    amount: int = 10,
+    model_name: str = "gpt-3.5-turbo",
+    language: str = "en",
+    chunk_size: int = 50,
+) -> list:
+    """
+    Structured data of elements according to the given parameters.
+    The data can be later logged as a structured file with MLRun's `returns` parameter.
+
+    :param fields: A list of fields to randomly generate.
+    :param amount: The number of variants to generate.
+    :param model_name: The name of the model to use for conversation generation.
+                       You should choose one of GPT-4 or GPT-3.5 from the list here: https://platform.openai.com/docs/models.
+                       Default: 'gpt-3.5-turbo'.
+    :param language: The language to use for the generated conversation text.
+    :param chunk_size: Number of samples generated at each GPT query.
+    """
+    instructions = ""
+    for field in fields:
+        # Split the field to key and instruction:
+        if ":" in field:
+            key, instruction = field.split(":", 1)
+        else:
+            key, instruction = field, "no special instruction"
+        # Replace spaces with underscores for the key to be used as a json key:
+        key = key.strip().replace(" ", "_")
+        instructions += f"* {key}: {instruction}\n"
+
+    # Create the prompt structure:
+    prompt_structure = (
+        f"generate the following values {amount} times randomly, in an order that creates a json table.\n"
+        f"Use the following keys and instructions (example: 'key: instruction or no special instruction'): "
+        f"{instructions}.\n"
+        f"Please generate the values in {language} language. \n"
+        f"Make sure the names of the keys are the same as the given field name.\n"
+        f"Please return only the json format without any introduction and ending"
+    )
+
+    # Set the OpenAI secrets:
+    _set_openai_secrets()
+
+    # Load the OpenAI model using langchain:
+    llm = ChatOpenAI(model=model_name)
+
+    # Start generating data:
+    data = []
+    for _ in tqdm.tqdm(range((amount // chunk_size) + 1), desc="Generating"):
+        # We try to generate the data 3 times, if we fail we raise an error:
+        for tryout in range(3):
+            # If the amount wanted is bigger than the chunk size, we generate a chunk of data in the size of the chunk
+            # and decrease the amount by the chunk size.
+            # otherwise we generate a chunk of data in the size of the amount:
+            if amount > chunk_size:
+                current_chunk_size = chunk_size
+                amount -= chunk_size
+            else:
+                current_chunk_size = amount
+
+            # Create the prompt:
+            prompt = prompt_structure.format(
+                amount=current_chunk_size,
+            )
+
+            # Generate a chunk of data:
+            chunk_data = llm.predict(text=prompt)
+
+            # Validate the response for correct python `list` structure
+            chunk_data = chunk_data[chunk_data.find("[") : chunk_data.rfind("]") + 1]
+            if chunk_data.count("[") != chunk_data.count("]"):
+                print(
+                    "Failed to get proper json format from model, number of '[' doesn't match number of ']'."
+                )
+                continue
+            chunk_data = ast.literal_eval(chunk_data)
+            data += chunk_data
+            break
+        if tryout == 3:
+            raise RuntimeError(
+                f"Could not generate a proper json format for the given fields, using given model: {model_name}."
+                f" Hint: Gpt-4 works best for most scenarios."
+            )
+    return data
+
+        </code>
+    </pre>
+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/structured_data_generator/1.5.0/static/structured_data_generator.html b/functions/master/structured_data_generator/1.5.0/static/structured_data_generator.html
new file mode 100644
index 00000000..e2a89dce
--- /dev/null
+++ b/functions/master/structured_data_generator/1.5.0/static/structured_data_generator.html
@@ -0,0 +1,282 @@
+
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+<main id="main-content" role="main">
+<div>
+<h1>Source code for structured_data_generator.structured_data_generator</h1><div class="highlight"><pre>
+<span></span><span class="c1"># Copyright 2023 Iguazio</span>
+<span class="c1">#</span>
+<span class="c1"># Licensed under the Apache License, Version 2.0 (the "License");</span>
+<span class="c1"># you may not use this file except in compliance with the License.</span>
+<span class="c1"># You may obtain a copy of the License at</span>
+<span class="c1">#</span>
+<span class="c1">#   http://www.apache.org/licenses/LICENSE-2.0</span>
+<span class="c1">#</span>
+<span class="c1"># Unless required by applicable law or agreed to in writing, software</span>
+<span class="c1"># distributed under the License is distributed on an "AS IS" BASIS,</span>
+<span class="c1"># WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.</span>
+<span class="c1"># See the License for the specific language governing permissions and</span>
+<span class="c1"># limitations under the License.</span>
+<span class="kn">import</span> <span class="nn">ast</span>
+<span class="kn">import</span> <span class="nn">os</span>
+
+<span class="kn">import</span> <span class="nn">tqdm</span>
+<span class="kn">from</span> <span class="nn">langchain.chat_models</span> <span class="kn">import</span> <span class="n">ChatOpenAI</span>
+
+
+<span class="k">def</span> <span class="nf">_set_openai_secrets</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="nb">bool</span><span class="p">:</span>
+    <span class="n">key</span> <span class="o">=</span> <span class="s2">"OPENAI_API_KEY"</span>
+    <span class="n">base</span> <span class="o">=</span> <span class="s2">"OPENAI_API_BASE"</span>
+    <span class="c1"># Check if the key is already in the environment variables:</span>
+    <span class="k">if</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">os</span><span class="o">.</span><span class="n">environ</span> <span class="ow">and</span> <span class="n">base</span> <span class="ow">in</span> <span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">:</span>
+        <span class="k">return</span> <span class="kc">True</span>
+    <span class="c1"># Check if mlrun is installed:</span>
+    <span class="k">try</span><span class="p">:</span>
+        <span class="kn">import</span> <span class="nn">mlrun</span>
+    <span class="k">except</span> <span class="ne">ModuleNotFoundError</span><span class="p">:</span>
+        <span class="k">raise</span> <span class="ne">EnvironmentError</span><span class="p">(</span>
+            <span class="sa">f</span><span class="s2">"One or more of the OpenAI required environment variables ('</span><span class="si">{</span><span class="n">key</span><span class="si">}</span><span class="s2">', '</span><span class="si">{</span><span class="n">base</span><span class="si">}</span><span class="s2">') are missing."</span>
+            <span class="sa">f</span><span class="s2">"Please set them as environment variables or install mlrun (`pip install mlrun`)"</span>
+            <span class="sa">f</span><span class="s2">"and set them as project secrets using `projecy.set_secrets`."</span>
+        <span class="p">)</span>
+
+    <span class="c1"># Check if the key is in the secrets:</span>
+    <span class="n">context</span> <span class="o">=</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">get_or_create_ctx</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s2">"context"</span><span class="p">)</span>
+    <span class="n">openai_key</span> <span class="o">=</span> <span class="n">context</span><span class="o">.</span><span class="n">get_secret</span><span class="p">(</span><span class="n">key</span><span class="p">)</span>
+    <span class="n">openai_base</span> <span class="o">=</span> <span class="n">context</span><span class="o">.</span><span class="n">get_secret</span><span class="p">(</span><span class="n">base</span><span class="p">)</span>
+
+    <span class="c1"># If the key is not in the secrets, return False:</span>
+    <span class="k">if</span> <span class="ow">not</span> <span class="n">openai_key</span><span class="p">:</span>
+        <span class="k">raise</span> <span class="ne">EnvironmentError</span><span class="p">(</span>
+            <span class="sa">f</span><span class="s2">"Could not find OpenAI API key in the environment variables or secrets,"</span>
+            <span class="sa">f</span><span class="s2">" please set it as: </span><span class="si">{</span><span class="n">key</span><span class="si">}</span><span class="s2">."</span>
+        <span class="p">)</span>
+    <span class="k">if</span> <span class="ow">not</span> <span class="n">openai_base</span><span class="p">:</span>
+        <span class="k">raise</span> <span class="ne">EnvironmentError</span><span class="p">(</span>
+            <span class="sa">f</span><span class="s2">"Could not find OpenAI API base in the environment variables or secrets,"</span>
+            <span class="sa">f</span><span class="s2">" please set it as: </span><span class="si">{</span><span class="n">base</span><span class="si">}</span><span class="s2">."</span>
+        <span class="p">)</span>
+    <span class="c1"># If the key is in the secrets, set it in the environment variables and return True:</span>
+    <span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="n">openai_key</span>
+    <span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">[</span><span class="n">base</span><span class="p">]</span> <span class="o">=</span> <span class="n">openai_base</span>
+    <span class="k">return</span> <span class="kc">True</span>
+
+
+<div class="viewcode-block" id="generate_data"><a class="viewcode-back" href="documentation.html#structured_data_generator.structured_data_generator.generate_data">[docs]</a><span class="k">def</span> <span class="nf">generate_data</span><span class="p">(</span>
+    <span class="n">fields</span><span class="p">:</span> <span class="nb">list</span><span class="p">,</span>
+    <span class="n">amount</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">10</span><span class="p">,</span>
+    <span class="n">model_name</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">"gpt-3.5-turbo"</span><span class="p">,</span>
+    <span class="n">language</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">"en"</span><span class="p">,</span>
+    <span class="n">chunk_size</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">50</span><span class="p">,</span>
+<span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">list</span><span class="p">:</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    Structured data of elements according to the given parameters.</span>
+<span class="sd">    The data can be later logged as a structured file with MLRun's `returns` parameter.</span>
+
+<span class="sd">    :param fields: A list of fields to randomly generate.</span>
+<span class="sd">    :param amount: The number of variants to generate.</span>
+<span class="sd">    :param model_name: The name of the model to use for conversation generation.</span>
+<span class="sd">                       You should choose one of GPT-4 or GPT-3.5 from the list here: https://platform.openai.com/docs/models.</span>
+<span class="sd">                       Default: 'gpt-3.5-turbo'.</span>
+<span class="sd">    :param language: The language to use for the generated conversation text.</span>
+<span class="sd">    :param chunk_size: Number of samples generated at each GPT query.</span>
+<span class="sd">    """</span>
+    <span class="n">instructions</span> <span class="o">=</span> <span class="s2">""</span>
+    <span class="k">for</span> <span class="n">field</span> <span class="ow">in</span> <span class="n">fields</span><span class="p">:</span>
+        <span class="c1"># Split the field to key and instruction:</span>
+        <span class="k">if</span> <span class="s2">":"</span> <span class="ow">in</span> <span class="n">field</span><span class="p">:</span>
+            <span class="n">key</span><span class="p">,</span> <span class="n">instruction</span> <span class="o">=</span> <span class="n">field</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">":"</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">key</span><span class="p">,</span> <span class="n">instruction</span> <span class="o">=</span> <span class="n">field</span><span class="p">,</span> <span class="s2">"no special instruction"</span>
+        <span class="c1"># Replace spaces with underscores for the key to be used as a json key:</span>
+        <span class="n">key</span> <span class="o">=</span> <span class="n">key</span><span class="o">.</span><span class="n">strip</span><span class="p">()</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">" "</span><span class="p">,</span> <span class="s2">"_"</span><span class="p">)</span>
+        <span class="n">instructions</span> <span class="o">+=</span> <span class="sa">f</span><span class="s2">"* </span><span class="si">{</span><span class="n">key</span><span class="si">}</span><span class="s2">: </span><span class="si">{</span><span class="n">instruction</span><span class="si">}</span><span class="se">\n</span><span class="s2">"</span>
+
+    <span class="c1"># Create the prompt structure:</span>
+    <span class="n">prompt_structure</span> <span class="o">=</span> <span class="p">(</span>
+        <span class="sa">f</span><span class="s2">"generate the following values </span><span class="si">{</span><span class="n">amount</span><span class="si">}</span><span class="s2"> times randomly, in an order that creates a json table.</span><span class="se">\n</span><span class="s2">"</span>
+        <span class="sa">f</span><span class="s2">"Use the following keys and instructions (example: 'key: instruction or no special instruction'): "</span>
+        <span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">instructions</span><span class="si">}</span><span class="s2">.</span><span class="se">\n</span><span class="s2">"</span>
+        <span class="sa">f</span><span class="s2">"Please generate the values in </span><span class="si">{</span><span class="n">language</span><span class="si">}</span><span class="s2"> language. </span><span class="se">\n</span><span class="s2">"</span>
+        <span class="sa">f</span><span class="s2">"Make sure the names of the keys are the same as the given field name.</span><span class="se">\n</span><span class="s2">"</span>
+        <span class="sa">f</span><span class="s2">"Please return only the json format without any introduction and ending"</span>
+    <span class="p">)</span>
+
+    <span class="c1"># Set the OpenAI secrets:</span>
+    <span class="n">_set_openai_secrets</span><span class="p">()</span>
+
+    <span class="c1"># Load the OpenAI model using langchain:</span>
+    <span class="n">llm</span> <span class="o">=</span> <span class="n">ChatOpenAI</span><span class="p">(</span><span class="n">model</span><span class="o">=</span><span class="n">model_name</span><span class="p">)</span>
+
+    <span class="c1"># Start generating data:</span>
+    <span class="n">data</span> <span class="o">=</span> <span class="p">[]</span>
+    <span class="k">for</span> <span class="n">_</span> <span class="ow">in</span> <span class="n">tqdm</span><span class="o">.</span><span class="n">tqdm</span><span class="p">(</span><span class="nb">range</span><span class="p">((</span><span class="n">amount</span> <span class="o">//</span> <span class="n">chunk_size</span><span class="p">)</span> <span class="o">+</span> <span class="mi">1</span><span class="p">),</span> <span class="n">desc</span><span class="o">=</span><span class="s2">"Generating"</span><span class="p">):</span>
+        <span class="c1"># We try to generate the data 3 times, if we fail we raise an error:</span>
+        <span class="k">for</span> <span class="n">tryout</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">3</span><span class="p">):</span>
+            <span class="c1"># If the amount wanted is bigger than the chunk size, we generate a chunk of data in the size of the chunk</span>
+            <span class="c1"># and decrease the amount by the chunk size.</span>
+            <span class="c1"># otherwise we generate a chunk of data in the size of the amount:</span>
+            <span class="k">if</span> <span class="n">amount</span> <span class="o">&gt;</span> <span class="n">chunk_size</span><span class="p">:</span>
+                <span class="n">current_chunk_size</span> <span class="o">=</span> <span class="n">chunk_size</span>
+                <span class="n">amount</span> <span class="o">-=</span> <span class="n">chunk_size</span>
+            <span class="k">else</span><span class="p">:</span>
+                <span class="n">current_chunk_size</span> <span class="o">=</span> <span class="n">amount</span>
+
+            <span class="c1"># Create the prompt:</span>
+            <span class="n">prompt</span> <span class="o">=</span> <span class="n">prompt_structure</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                <span class="n">amount</span><span class="o">=</span><span class="n">current_chunk_size</span><span class="p">,</span>
+            <span class="p">)</span>
+
+            <span class="c1"># Generate a chunk of data:</span>
+            <span class="n">chunk_data</span> <span class="o">=</span> <span class="n">llm</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">text</span><span class="o">=</span><span class="n">prompt</span><span class="p">)</span>
+
+            <span class="c1"># Validate the response for correct python `list` structure</span>
+            <span class="n">chunk_data</span> <span class="o">=</span> <span class="n">chunk_data</span><span class="p">[</span><span class="n">chunk_data</span><span class="o">.</span><span class="n">find</span><span class="p">(</span><span class="s2">"["</span><span class="p">)</span> <span class="p">:</span> <span class="n">chunk_data</span><span class="o">.</span><span class="n">rfind</span><span class="p">(</span><span class="s2">"]"</span><span class="p">)</span> <span class="o">+</span> <span class="mi">1</span><span class="p">]</span>
+            <span class="k">if</span> <span class="n">chunk_data</span><span class="o">.</span><span class="n">count</span><span class="p">(</span><span class="s2">"["</span><span class="p">)</span> <span class="o">!=</span> <span class="n">chunk_data</span><span class="o">.</span><span class="n">count</span><span class="p">(</span><span class="s2">"]"</span><span class="p">):</span>
+                <span class="nb">print</span><span class="p">(</span>
+                    <span class="s2">"Failed to get proper json format from model, number of '[' doesn't match number of ']'."</span>
+                <span class="p">)</span>
+                <span class="k">continue</span>
+            <span class="n">chunk_data</span> <span class="o">=</span> <span class="n">ast</span><span class="o">.</span><span class="n">literal_eval</span><span class="p">(</span><span class="n">chunk_data</span><span class="p">)</span>
+            <span class="n">data</span> <span class="o">+=</span> <span class="n">chunk_data</span>
+            <span class="k">break</span>
+        <span class="k">if</span> <span class="n">tryout</span> <span class="o">==</span> <span class="mi">3</span><span class="p">:</span>
+            <span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span>
+                <span class="sa">f</span><span class="s2">"Could not generate a proper json format for the given fields, using given model: </span><span class="si">{</span><span class="n">model_name</span><span class="si">}</span><span class="s2">."</span>
+                <span class="sa">f</span><span class="s2">" Hint: Gpt-4 works best for most scenarios."</span>
+            <span class="p">)</span>
+    <span class="k">return</span> <span class="n">data</span></div>
+</pre></div>
+</div>
+</main>
+<footer class="footer-article noprint">
+<!-- Previous / next buttons -->
+<div class="prev-next-area">
+</div>
+</footer>
+</div>
+</div>
+<div class="footer-content row">
+<footer class="col footer"><p>
+  
+      © Copyright .<br/>
+</p>
+</footer>
+</div>
+</div>
+</div>
+</div>
+<!-- Scripts loaded after <body> so the DOM is not blocked -->
+<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf"></script>
+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/structured_data_generator/latest/src/function.yaml b/functions/master/structured_data_generator/latest/src/function.yaml
index 0e046122..1093e178 100644
--- a/functions/master/structured_data_generator/latest/src/function.yaml
+++ b/functions/master/structured_data_generator/latest/src/function.yaml
@@ -2,7 +2,7 @@ kind: job
 metadata:
   name: structured-data-generator
   tag: ''
-  hash: ac969f46aae91804024ea736856267c26578864b
+  hash: 44bb39f4bc55b38fc7ead1df24cb02bcf7f05bc9
   project: ''
   labels:
     author: zeevr
diff --git a/functions/master/structured_data_generator/latest/src/item.yaml b/functions/master/structured_data_generator/latest/src/item.yaml
index 318d93d8..be2a2a94 100755
--- a/functions/master/structured_data_generator/latest/src/item.yaml
+++ b/functions/master/structured_data_generator/latest/src/item.yaml
@@ -26,4 +26,4 @@ spec:
   - langchain
   - tqdm
 url: ''
-version: 1.4.0
+version: 1.5.0
diff --git a/functions/master/structured_data_generator/latest/static/function.html b/functions/master/structured_data_generator/latest/static/function.html
index ef5d06b9..0594bffc 100644
--- a/functions/master/structured_data_generator/latest/static/function.html
+++ b/functions/master/structured_data_generator/latest/static/function.html
@@ -19,7 +19,7 @@
 metadata:
   name: structured-data-generator
   tag: ''
-  hash: ac969f46aae91804024ea736856267c26578864b
+  hash: 44bb39f4bc55b38fc7ead1df24cb02bcf7f05bc9
   project: ''
   labels:
     author: zeevr
@@ -27,7 +27,7 @@
   - machine-learning
   - data-preparation
   - data-generation
-  - GenAI
+  - genai
 spec:
   command: ''
   args: []
diff --git a/functions/master/structured_data_generator/latest/static/item.html b/functions/master/structured_data_generator/latest/static/item.html
index c39576ca..b5ab71d0 100644
--- a/functions/master/structured_data_generator/latest/static/item.html
+++ b/functions/master/structured_data_generator/latest/static/item.html
@@ -20,7 +20,7 @@
 - machine-learning
 - data-preparation
 - data-generation
-- GenAI
+- genai
 description: GenAI approach of generating structured data according to a given schema
 doc: ''
 example: structured_data_generator.ipynb
@@ -43,7 +43,7 @@
   - langchain
   - tqdm
 url: ''
-version: 1.4.0
+version: 1.5.0
 
         </code>
     </pre>
diff --git a/functions/master/tags.json b/functions/master/tags.json
index b88850a7..00f59c75 100644
--- a/functions/master/tags.json
+++ b/functions/master/tags.json
@@ -1 +1 @@
-{"kind": ["nuclio", "job", "dask", "serving", "nuclio:serving"], "categories": ["data-generation", "genai", "pytorch", "feature-store", "data-analysis", "utils", "machine-learning", "model-testing", "NLP", "data-preparation", "model-serving", "etl", "model-training", "deep-learning", "audio", "data-validation", "monitoring", "huggingface"]}
\ No newline at end of file
+{"categories": ["feature-store", "deep-learning", "data-analysis", "monitoring", "model-training", "data-generation", "etl", "data-preparation", "genai", "audio", "data-validation", "huggingface", "model-serving", "machine-learning", "NLP", "model-testing", "utils", "pytorch"], "kind": ["serving", "nuclio", "nuclio:serving", "dask", "job"]}
\ No newline at end of file
diff --git a/functions/master/text_to_audio_generator/1.2.0/src/data/test_data.txt b/functions/master/text_to_audio_generator/1.2.0/src/data/test_data.txt
new file mode 100644
index 00000000..e60176e3
--- /dev/null
+++ b/functions/master/text_to_audio_generator/1.2.0/src/data/test_data.txt
@@ -0,0 +1,2 @@
+Client: I love MLRun!
+Agent: Me too!
diff --git a/functions/master/text_to_audio_generator/1.2.0/src/function.yaml b/functions/master/text_to_audio_generator/1.2.0/src/function.yaml
new file mode 100644
index 00000000..88ef9cb8
--- /dev/null
+++ b/functions/master/text_to_audio_generator/1.2.0/src/function.yaml
@@ -0,0 +1,95 @@
+kind: job
+metadata:
+  name: text-to-audio-generator
+  tag: ''
+  hash: 89fcaf3fab53e7b7fbba448a5e65c253d7fa66ed
+  project: ''
+  labels:
+    author: yonatans
+  categories:
+  - data-preparation
+  - machine-learning
+  - pytorch
+spec:
+  command: ''
+  args: []
+  image: ''
+  build:
+    functionSourceCode: # Copyright 2023 Iguazio
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import logging
import pathlib
import random
import tempfile
from typing import Dict, List, Optional, Tuple, Union

import bark
import numpy as np
import pandas as pd
import torch
import torchaudio
import tqdm

# Get the global logger:
_LOGGER = logging.getLogger()


def generate_multi_speakers_audio(
    data_path: str,
    speakers: Union[List[str], Dict[str, int]],
    available_voices: List[str],
    output_directory: str = None,
    use_gpu: bool = True,
    use_small_models: bool = False,
    offload_cpu: bool = False,
    sample_rate: int = 16000,
    file_format: str = "wav",
    verbose: bool = True,
    bits_per_sample: Optional[int] = None,
) -> Tuple[str, pd.DataFrame, dict]:
    """
    Generate audio files from text files.

    :param data_path:           Path to the text file or directory containing the text files to generate audio from.
    :param speakers:            List / Dict of speakers to generate audio for.
                                If a list is given, the speakers will be assigned to channels in the order given.
                                If dictionary, the keys will be the speakers and the values will be the channels.
    :param available_voices:    List of available voices to use for the generation.
                        See here for the available voices:
                        https://suno-ai.notion.site/8b8e8749ed514b0cbf3f699013548683?v=bc67cff786b04b50b3ceb756fd05f68c
    :param output_directory:    Path to the directory to save the generated audio files to.
    :param use_gpu:             Whether to use the GPU for the generation.
    :param use_small_models:    Whether to use the small models for the generation.
    :param offload_cpu:         To reduce the memory footprint, the models can be offloaded to the CPU after loading.
    :param sample_rate:         The sampling rate of the generated audio.
    :param file_format:         The format of the generated audio files.
    :param verbose:             Whether to print the progress of the generation.
    :param bits_per_sample:     Changes the bit depth for the supported formats.
                                Supported only in "wav" or "flac" formats.

    :returns:                   A tuple of:
                                - The output directory path.
                                - The generated audio files dataframe.
                                - The errors dictionary.
    """

    global _LOGGER
    _LOGGER = _get_logger()
    # Get the input text files to turn to audio:
    data_path = pathlib.Path(data_path).absolute()
    text_files = _get_text_files(data_path=data_path)

    # Load the bark models according to the given configurations:
    bark.preload_models(
        text_use_gpu=use_gpu,
        text_use_small=use_small_models,
        coarse_use_gpu=use_gpu,
        coarse_use_small=use_small_models,
        fine_use_gpu=use_gpu,
        fine_use_small=use_small_models,
        codec_use_gpu=use_gpu,
        force_reload=offload_cpu,
    )

    # Check for per channel generation:
    if isinstance(speakers, dict):
        speaker_per_channel = True
        # Sort the given speakers by channels:
        speakers = {
            speaker: channel
            for speaker, channel in sorted(speakers.items(), key=lambda item: item[1])
        }
    else:
        speaker_per_channel = False

    # Prepare the resampling module:
    resampler = torchaudio.transforms.Resample(
        orig_freq=bark.SAMPLE_RATE, new_freq=sample_rate, dtype=torch.float32
    )

    # Prepare the gap between each speaker:
    gap_between_speakers = np.zeros(int(0.5 * bark.SAMPLE_RATE))

    # Prepare the successes dataframe and errors dictionary to be returned:
    successes = []
    errors = {}

    # Create the output directory:
    if output_directory is None:
        output_directory = tempfile.mkdtemp()
    output_directory = pathlib.Path(output_directory)
    if not output_directory.exists():
        output_directory.mkdir(exist_ok=True, parents=True)

    # Start generating audio:
    # Go over the audio files and transcribe:
    for text_file in tqdm.tqdm(
        text_files, desc="Generating", unit="file", disable=not verbose
    ):

        try:
            # Randomize voices for each speaker:
            chosen_voices = {}
            available_voices_copy = available_voices.copy()
            for speaker in speakers:
                voice = random.choice(available_voices_copy)
                chosen_voices[speaker] = voice
                available_voices_copy.remove(voice)
            # Read text:
            with open(text_file, "r") as fp:
                text = fp.read()
            # Prepare a holder for all the generated pieces (if per channel each speaker will have its own):
            audio_pieces = (
                {speaker: [] for speaker in speakers}
                if speaker_per_channel
                else {"all": []}
            )

            # Generate audio per line:
            for line in text.splitlines():
                # Validate line is in correct speaker format:

                if ": " not in line:
                    if verbose:
                        _LOGGER.warning(f"Skipping line: {line}")
                    continue
                # Split line to speaker and his words:
                current_speaker, sentences = line.split(": ", 1)
                # Validate speaker is known:
                if current_speaker not in speakers:
                    raise ValueError(
                        f"Unknown speaker: {current_speaker}. Given speakers are: {speakers}"
                    )
                for sentence in _split_line(line=sentences):
                    # Generate words audio:
                    audio = bark.generate_audio(
                        sentence,
                        history_prompt=chosen_voices[current_speaker],
                        silent=True,
                    )
                    if speaker_per_channel:
                        silence = np.zeros_like(audio)
                        for speaker in audio_pieces.keys():
                            if speaker == current_speaker:
                                audio_pieces[speaker] += [audio, gap_between_speakers]
                            else:
                                audio_pieces[speaker] += [silence, gap_between_speakers]
                    else:
                        audio_pieces["all"] += [audio, gap_between_speakers]
            # Construct a single audio array from all the pieces and channels:

            audio = np.vstack(
                [np.concatenate(audio_pieces[speaker]) for speaker in speakers]
            ).astype(dtype=np.float32)
            # Resample:
            audio = torch.from_numpy(audio)
            audio = resampler(audio)
            # Save to audio file:
            audio_file = output_directory / f"{text_file.stem}.{file_format}"

            torchaudio.save(
                uri=str(audio_file),
                src=audio,
                sample_rate=sample_rate,
                format=file_format,
                bits_per_sample=bits_per_sample,
            )

            # Collect to the successes:
            successes.append([text_file.name, audio_file.name])
        except Exception as exception:
            # Note the exception as error in the dictionary:
            if verbose:
                _LOGGER.warning(f"Error in file: '{text_file.name}'")
            print(exception)
            errors[text_file.name] = str(exception)

    # Construct the translations dataframe:
    successes = pd.DataFrame(
        successes,
        columns=["text_file", "audio_file"],
    )

    # Print the head of the produced dataframe and return:
    if verbose:
        _LOGGER.info(
            f"Done ({successes.shape[0]}/{len(text_files)})\n"
            f"Translations summary:\n"
            f"{successes.head()}"
        )
    return str(output_directory), successes, errors


def _get_text_files(
    data_path: pathlib.Path,
) -> List[pathlib.Path]:
    # Check if the path is of a directory or a file:
    if data_path.is_dir():
        # Get all files inside the directory:
        text_files = list(data_path.glob("*.*"))
    elif data_path.is_file():
        text_files = [data_path]
    else:
        raise ValueError(
            f"Unrecognized data path. The parameter `data_path` must be either a directory path or a file path. "
            f"Given: {str(data_path)} "
        )

    return text_files


def _split_line(line: str, max_length: int = 250) -> List[str]:
    if len(line) < max_length:
        return [line]

    sentences = [
        f"{sentence.strip()}." for sentence in line.split(".") if sentence.strip()
    ]

    splits = []
    current_length = len(sentences[0])
    split = sentences[0]
    for sentence in sentences[1:]:
        if current_length + len(sentence) > max_length:
            splits.append(split)
            split = sentence
            current_length = len(sentence)
        else:
            current_length += len(sentence)
            split += " " + sentence
    if split:
        splits.append(split)

    return splits


def _get_logger():
    global _LOGGER
    try:
        import mlrun
        # Check if MLRun is available:
        context = mlrun.get_or_create_ctx(name="mlrun")
        return context.logger
    except ModuleNotFoundError:
        return _LOGGER

+    base_image: mlrun/mlrun
+    commands: []
+    code_origin: ''
+    origin_filename: ''
+    requirements:
+    - bark
+    - torchaudio
+  entry_points:
+    generate_multi_speakers_audio:
+      name: generate_multi_speakers_audio
+      doc: Generate audio files from text files.
+      parameters:
+      - name: data_path
+        type: str
+        doc: Path to the text file or directory containing the text files to generate
+          audio from.
+      - name: speakers
+        type: Union[List[str], Dict[str, int]]
+        doc: List / Dict of speakers to generate audio for. If a list is given, the
+          speakers will be assigned to channels in the order given. If dictionary,
+          the keys will be the speakers and the values will be the channels.
+      - name: available_voices
+        type: List[str]
+        doc: 'List of available voices to use for the generation. See here for the
+          available voices: https://suno-ai.notion.site/8b8e8749ed514b0cbf3f699013548683?v=bc67cff786b04b50b3ceb756fd05f68c'
+      - name: output_directory
+        type: str
+        doc: Path to the directory to save the generated audio files to.
+        default: null
+      - name: use_gpu
+        type: bool
+        doc: Whether to use the GPU for the generation.
+        default: true
+      - name: use_small_models
+        type: bool
+        doc: Whether to use the small models for the generation.
+        default: false
+      - name: offload_cpu
+        type: bool
+        doc: To reduce the memory footprint, the models can be offloaded to the CPU
+          after loading.
+        default: false
+      - name: sample_rate
+        type: int
+        doc: The sampling rate of the generated audio.
+        default: 16000
+      - name: file_format
+        type: str
+        doc: The format of the generated audio files.
+        default: wav
+      - name: verbose
+        type: bool
+        doc: Whether to print the progress of the generation.
+        default: true
+      - name: bits_per_sample
+        type: Optional[int]
+        doc: Changes the bit depth for the supported formats. Supported only in "wav"
+          or "flac" formats.
+        default: null
+      outputs:
+      - doc: 'A tuple of: - The output directory path. - The generated audio files
+          dataframe. - The errors dictionary.'
+        type: Tuple[str, pd.DataFrame, dict]
+      lineno: 31
+      has_varargs: false
+      has_kwargs: false
+  description: Generate audio file from text using different speakers
+  default_handler: generate_multi_speakers_audio
+  disable_auto_mount: false
+  clone_target_dir: ''
+  env: []
+  priority_class_name: ''
+  preemption_mode: prevent
+  affinity: null
+  tolerations: null
+  security_context: {}
+verbose: false
diff --git a/functions/master/text_to_audio_generator/1.2.0/src/item.yaml b/functions/master/text_to_audio_generator/1.2.0/src/item.yaml
new file mode 100644
index 00000000..efa8afc9
--- /dev/null
+++ b/functions/master/text_to_audio_generator/1.2.0/src/item.yaml
@@ -0,0 +1,29 @@
+apiVersion: v1
+categories:
+- data-preparation
+- machine-learning
+- pytorch
+description: Generate audio file from text using different speakers
+doc: ''
+example: text_to_audio_generator.ipynb
+generationDate: 2023-12-03:15-30
+hidden: false
+icon: ''
+labels:
+  author: yonatans
+maintainers: []
+marketplaceType: ''
+mlrunVersion: 1.5.1
+name: text_to_audio_generator
+platformVersion: 3.5.3
+spec:
+  filename: text_to_audio_generator.py
+  handler: generate_multi_speakers_audio
+  image: mlrun/mlrun
+  kind: job
+  requirements:
+    - bark
+    - torchaudio
+url: ''
+version: 1.2.0
+test_valid: True
diff --git a/functions/master/text_to_audio_generator/1.2.0/src/requirements.txt b/functions/master/text_to_audio_generator/1.2.0/src/requirements.txt
new file mode 100644
index 00000000..36f17cd6
--- /dev/null
+++ b/functions/master/text_to_audio_generator/1.2.0/src/requirements.txt
@@ -0,0 +1,2 @@
+bark
+torchaudio>=2.1.0
\ No newline at end of file
diff --git a/functions/master/text_to_audio_generator/1.2.0/src/test_text_to_audio_generator.py b/functions/master/text_to_audio_generator/1.2.0/src/test_text_to_audio_generator.py
new file mode 100644
index 00000000..87ffe149
--- /dev/null
+++ b/functions/master/text_to_audio_generator/1.2.0/src/test_text_to_audio_generator.py
@@ -0,0 +1,50 @@
+# Copyright 2023 Iguazio
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import mlrun
+import tempfile
+import pytest
+
+
+@pytest.mark.parametrize("file_format,bits_per_sample", [("wav", 8), ("mp3", None)])
+def test_generate_multi_speakers_audio(file_format, bits_per_sample):
+    text_to_audio_generator_function = mlrun.import_function("function.yaml")
+    with tempfile.TemporaryDirectory() as test_directory:
+        function_run = text_to_audio_generator_function.run(
+            handler="generate_multi_speakers_audio",
+            inputs={"data_path": "data/test_data.txt"},
+            params={
+                "output_directory": test_directory,
+                "speakers": {"Agent": 0, "Client": 1},
+                "available_voices": [
+                    "v2/en_speaker_0",
+                    "v2/en_speaker_1",
+                ],
+                "use_small_models": True,
+                "use_gpu": False,
+                "offload_cpu": True,
+                "file_format": file_format,
+                "bits_per_sample": bits_per_sample,
+            },
+            local=True,
+            returns=[
+                "audio_files: path",
+                "audio_files_dataframe: dataset",
+                "text_to_speech_errors: file",
+            ],
+            artifact_path=test_directory,
+        )
+    assert function_run.error == "Run state (completed) is not in error state"
+    for key in ["audio_files", "audio_files_dataframe", "text_to_speech_errors"]:
+        assert key in function_run.outputs and function_run.outputs[key] is not None
diff --git a/functions/master/text_to_audio_generator/1.2.0/src/text_to_audio_generator.ipynb b/functions/master/text_to_audio_generator/1.2.0/src/text_to_audio_generator.ipynb
new file mode 100644
index 00000000..268fe2ef
--- /dev/null
+++ b/functions/master/text_to_audio_generator/1.2.0/src/text_to_audio_generator.ipynb
@@ -0,0 +1,450 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "cbbc90d3-8179-42fa-8f67-0cfe90546759",
+   "metadata": {},
+   "source": [
+    "# Text to audio conversation generator"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cf22790e-9e00-46d6-9e02-13ae46b3baee",
+   "metadata": {},
+   "source": [
+    "This function converts the text from a specified text file into speech and saves this as an audio file using the Bark library.<br>\n",
+    "It's designed to facilitate easy generation of speech from written transcripts.\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1ed4da8a-6d60-41a3-a4b1-6c7469356ea8",
+   "metadata": {},
+   "source": [
+    "## Example Usage:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "bb20c4a6-f362-40e6-8f73-9145953959ec",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import mlrun\n",
+    "import tempfile"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "d0786055-34e9-4d15-a8b2-8a736244e9de",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Import function \n",
+    "text_to_audio_generator_function = mlrun.import_function(\"hub://text_to_audio_generator\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "8f9400bf-ac37-4a52-a0ed-1b0ae399ea82",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "> 2023-12-04 14:08:48,769 [info] Storing function: {'name': 'text-to-audio-generator-generate-multi-speakers-audio', 'uid': 'ba017dfc11624de9afb5e148a6678a8b', 'db': 'http://mlrun-api:8080'}\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.\n",
+      "Generating: 100%|██████████| 1/1 [00:23<00:00, 23.74s/file]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "> 2023-12-04 14:10:05,123 [info] Done (1/1)\n",
+      "Translations summary:\n",
+      "       text_file     audio_file\n",
+      "0  test_data.txt  test_data.mp3\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<style>\n",
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+       "\n",
+       "        try {\n",
+       "            return document.execCommand('copy'); // Security exception may be thrown by some browsers.\n",
+       "        } catch (ex) {\n",
+       "\n",
+       "        } finally {\n",
+       "            document.body.removeChild(textarea);\n",
+       "        }\n",
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+       "function expandPanel(el) {\n",
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+       "    #csv table td { padding: 4px 8px; border: 1px solid silver;} </style>`;\n",
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+       "    return '<div id=\"csv\"><table><tr><td>' +  str.replace(/[\\n\\r]+$/g, '').replace(/[\\n\\r]+/g, '</td></tr><tr><td>')\n",
+       "      .replace(/,/g, '</td><td>') + '</td></tr></table></div>';\n",
+       "  }\n",
+       "\n",
+       "  function reqListener () {\n",
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+       "      iframe.setAttribute(\"srcdoc\", this.responseText);\n",
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+       "    console.log(this.responseText);\n",
+       "  }\n",
+       "\n",
+       "  const oReq = new XMLHttpRequest();\n",
+       "  oReq.addEventListener(\"load\", reqListener);\n",
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+       "\n",
+       "  //iframe.src = el.title;\n",
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+       "</script>\n",
+       "<div class=\"master-wrapper\">\n",
+       "  <div class=\"block master-tbl\"><div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
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+       "        vertical-align: top;\n",
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+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>project</th>\n",
+       "      <th>uid</th>\n",
+       "      <th>iter</th>\n",
+       "      <th>start</th>\n",
+       "      <th>state</th>\n",
+       "      <th>name</th>\n",
+       "      <th>labels</th>\n",
+       "      <th>inputs</th>\n",
+       "      <th>parameters</th>\n",
+       "      <th>results</th>\n",
+       "      <th>artifacts</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <td>default</td>\n",
+       "      <td><div title=\"ba017dfc11624de9afb5e148a6678a8b\"><a href=\"https://dashboard.default-tenant.app.llm2.iguazio-cd0.com/mlprojects/default/jobs/monitor/ba017dfc11624de9afb5e148a6678a8b/overview\" target=\"_blank\" >...a6678a8b</a></div></td>\n",
+       "      <td>0</td>\n",
+       "      <td>Dec 04 14:08:48</td>\n",
+       "      <td>completed</td>\n",
+       "      <td>text-to-audio-generator-generate-multi-speakers-audio</td>\n",
+       "      <td><div class=\"dictlist\">v3io_user=yonis</div><div class=\"dictlist\">kind=local</div><div class=\"dictlist\">owner=yonis</div><div class=\"dictlist\">host=jupyter-yonis-7c9bdbfb4d-9g2p2</div></td>\n",
+       "      <td><div class=\"artifact\" onclick=\"expandPanel(this)\" paneName=\"resultf0d58916\" title=\"/files/text_to_audio/test_data.txt\">data_path</div></td>\n",
+       "      <td><div class=\"dictlist\">output_directory=./out</div><div class=\"dictlist\">speakers={'Agent': 0, 'Client': 1}</div><div class=\"dictlist\">available_voices=['v2/en_speaker_0', 'v2/en_speaker_1']</div><div class=\"dictlist\">use_small_models=True</div><div class=\"dictlist\">use_gpu=False</div><div class=\"dictlist\">offload_cpu=True</div><div class=\"dictlist\">file_format=mp3</div></td>\n",
+       "      <td></td>\n",
+       "      <td><div title=\"v3io:///projects/default/artifacts/text-to-audio-generator-generate-multi-speakers-audio/0/audio_files.zip\">audio_files</div><div title=\"v3io:///projects/default/artifacts/text-to-audio-generator-generate-multi-speakers-audio/0/audio_files_dataframe.parquet\">audio_files_dataframe</div><div class=\"artifact\" onclick=\"expandPanel(this)\" paneName=\"resultf0d58916\" title=\"files/v3io/projects/default/artifacts/text-to-audio-generator-generate-multi-speakers-audio/0/text_to_speech_errors.json\">text_to_speech_errors</div></td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div></div>\n",
+       "  <div id=\"resultf0d58916-pane\" class=\"right-pane block hidden\">\n",
+       "    <div class=\"pane-header\">\n",
+       "      <span id=\"resultf0d58916-title\" class=\"pane-header-title\">Title</span>\n",
+       "      <span onclick=\"closePanel(this)\" paneName=\"resultf0d58916\" class=\"close clickable\">&times;</span>\n",
+       "    </div>\n",
+       "    <iframe class=\"fileview\" id=\"resultf0d58916-body\"></iframe>\n",
+       "  </div>\n",
+       "</div>\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<b> > to track results use the .show() or .logs() methods  or <a href=\"https://dashboard.default-tenant.app.llm2.iguazio-cd0.com/mlprojects/default/jobs/monitor/ba017dfc11624de9afb5e148a6678a8b/overview\" target=\"_blank\">click here</a> to open in UI</b>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "> 2023-12-04 14:10:05,486 [info] Run execution finished: {'status': 'completed', 'name': 'text-to-audio-generator-generate-multi-speakers-audio'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Run the function with desired text files\n",
+    "function_run = text_to_audio_generator_function.run(\n",
+    "    handler=\"generate_multi_speakers_audio\",\n",
+    "    inputs={\"data_path\": \"./test_data.txt\"},\n",
+    "    params={\n",
+    "        \"output_directory\": \"./out\",\n",
+    "        \"speakers\": {\"Agent\": 0, \"Client\": 1},\n",
+    "        \"available_voices\": [\n",
+    "            \"v2/en_speaker_0\",\n",
+    "            \"v2/en_speaker_1\",\n",
+    "        ],\n",
+    "        \"use_small_models\": True,\n",
+    "        \"use_gpu\": False,\n",
+    "        \"offload_cpu\": True,\n",
+    "        \"file_format\": \"mp3\",\n",
+    "        # \"bits_per_sample\": 8,\n",
+    "    },\n",
+    "    local=True,\n",
+    "    returns=[\n",
+    "        \"audio_files: path\",\n",
+    "        \"audio_files_dataframe: dataset\",\n",
+    "        \"text_to_speech_errors: file\",\n",
+    "    ],\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "014420d1-a03c-47de-ba96-d631d0b4ee10",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>text_file</th>\n",
+       "      <th>audio_file</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>test_data.txt</td>\n",
+       "      <td>test_data.mp3</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       text_file     audio_file\n",
+       "0  test_data.txt  test_data.mp3"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "function_run.artifact(\"audio_files_dataframe\").show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "4d23e07e-788e-4b4e-a517-d921f6a2a24c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "                <audio  controls=\"controls\" >\n",
+       "                    <source 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\" type=\"audio/mpeg\" />\n",
+       "                    Your browser does not support the audio element.\n",
+       "                </audio>\n",
+       "              "
+      ],
+      "text/plain": [
+       "<IPython.lib.display.Audio object>"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import IPython\n",
+    "\n",
+    "IPython.display.Audio(\"./out/test_data.mp3\")"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "mlrun-base",
+   "language": "python",
+   "name": "conda-env-mlrun-base-py"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.16"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/functions/master/text_to_audio_generator/1.2.0/src/text_to_audio_generator.py b/functions/master/text_to_audio_generator/1.2.0/src/text_to_audio_generator.py
new file mode 100644
index 00000000..7602745e
--- /dev/null
+++ b/functions/master/text_to_audio_generator/1.2.0/src/text_to_audio_generator.py
@@ -0,0 +1,268 @@
+# Copyright 2023 Iguazio
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+import logging
+import pathlib
+import random
+import tempfile
+from typing import Dict, List, Optional, Tuple, Union
+
+import bark
+import numpy as np
+import pandas as pd
+import torch
+import torchaudio
+import tqdm
+
+# Get the global logger:
+_LOGGER = logging.getLogger()
+
+
+def generate_multi_speakers_audio(
+    data_path: str,
+    speakers: Union[List[str], Dict[str, int]],
+    available_voices: List[str],
+    output_directory: str = None,
+    use_gpu: bool = True,
+    use_small_models: bool = False,
+    offload_cpu: bool = False,
+    sample_rate: int = 16000,
+    file_format: str = "wav",
+    verbose: bool = True,
+    bits_per_sample: Optional[int] = None,
+) -> Tuple[str, pd.DataFrame, dict]:
+    """
+    Generate audio files from text files.
+
+    :param data_path:           Path to the text file or directory containing the text files to generate audio from.
+    :param speakers:            List / Dict of speakers to generate audio for.
+                                If a list is given, the speakers will be assigned to channels in the order given.
+                                If dictionary, the keys will be the speakers and the values will be the channels.
+    :param available_voices:    List of available voices to use for the generation.
+                        See here for the available voices:
+                        https://suno-ai.notion.site/8b8e8749ed514b0cbf3f699013548683?v=bc67cff786b04b50b3ceb756fd05f68c
+    :param output_directory:    Path to the directory to save the generated audio files to.
+    :param use_gpu:             Whether to use the GPU for the generation.
+    :param use_small_models:    Whether to use the small models for the generation.
+    :param offload_cpu:         To reduce the memory footprint, the models can be offloaded to the CPU after loading.
+    :param sample_rate:         The sampling rate of the generated audio.
+    :param file_format:         The format of the generated audio files.
+    :param verbose:             Whether to print the progress of the generation.
+    :param bits_per_sample:     Changes the bit depth for the supported formats.
+                                Supported only in "wav" or "flac" formats.
+
+    :returns:                   A tuple of:
+                                - The output directory path.
+                                - The generated audio files dataframe.
+                                - The errors dictionary.
+    """
+
+    global _LOGGER
+    _LOGGER = _get_logger()
+    # Get the input text files to turn to audio:
+    data_path = pathlib.Path(data_path).absolute()
+    text_files = _get_text_files(data_path=data_path)
+
+    # Load the bark models according to the given configurations:
+    bark.preload_models(
+        text_use_gpu=use_gpu,
+        text_use_small=use_small_models,
+        coarse_use_gpu=use_gpu,
+        coarse_use_small=use_small_models,
+        fine_use_gpu=use_gpu,
+        fine_use_small=use_small_models,
+        codec_use_gpu=use_gpu,
+        force_reload=offload_cpu,
+    )
+
+    # Check for per channel generation:
+    if isinstance(speakers, dict):
+        speaker_per_channel = True
+        # Sort the given speakers by channels:
+        speakers = {
+            speaker: channel
+            for speaker, channel in sorted(speakers.items(), key=lambda item: item[1])
+        }
+    else:
+        speaker_per_channel = False
+
+    # Prepare the resampling module:
+    resampler = torchaudio.transforms.Resample(
+        orig_freq=bark.SAMPLE_RATE, new_freq=sample_rate, dtype=torch.float32
+    )
+
+    # Prepare the gap between each speaker:
+    gap_between_speakers = np.zeros(int(0.5 * bark.SAMPLE_RATE))
+
+    # Prepare the successes dataframe and errors dictionary to be returned:
+    successes = []
+    errors = {}
+
+    # Create the output directory:
+    if output_directory is None:
+        output_directory = tempfile.mkdtemp()
+    output_directory = pathlib.Path(output_directory)
+    if not output_directory.exists():
+        output_directory.mkdir(exist_ok=True, parents=True)
+
+    # Start generating audio:
+    # Go over the audio files and transcribe:
+    for text_file in tqdm.tqdm(
+        text_files, desc="Generating", unit="file", disable=not verbose
+    ):
+
+        try:
+            # Randomize voices for each speaker:
+            chosen_voices = {}
+            available_voices_copy = available_voices.copy()
+            for speaker in speakers:
+                voice = random.choice(available_voices_copy)
+                chosen_voices[speaker] = voice
+                available_voices_copy.remove(voice)
+            # Read text:
+            with open(text_file, "r") as fp:
+                text = fp.read()
+            # Prepare a holder for all the generated pieces (if per channel each speaker will have its own):
+            audio_pieces = (
+                {speaker: [] for speaker in speakers}
+                if speaker_per_channel
+                else {"all": []}
+            )
+
+            # Generate audio per line:
+            for line in text.splitlines():
+                # Validate line is in correct speaker format:
+
+                if ": " not in line:
+                    if verbose:
+                        _LOGGER.warning(f"Skipping line: {line}")
+                    continue
+                # Split line to speaker and his words:
+                current_speaker, sentences = line.split(": ", 1)
+                # Validate speaker is known:
+                if current_speaker not in speakers:
+                    raise ValueError(
+                        f"Unknown speaker: {current_speaker}. Given speakers are: {speakers}"
+                    )
+                for sentence in _split_line(line=sentences):
+                    # Generate words audio:
+                    audio = bark.generate_audio(
+                        sentence,
+                        history_prompt=chosen_voices[current_speaker],
+                        silent=True,
+                    )
+                    if speaker_per_channel:
+                        silence = np.zeros_like(audio)
+                        for speaker in audio_pieces.keys():
+                            if speaker == current_speaker:
+                                audio_pieces[speaker] += [audio, gap_between_speakers]
+                            else:
+                                audio_pieces[speaker] += [silence, gap_between_speakers]
+                    else:
+                        audio_pieces["all"] += [audio, gap_between_speakers]
+            # Construct a single audio array from all the pieces and channels:
+
+            audio = np.vstack(
+                [np.concatenate(audio_pieces[speaker]) for speaker in speakers]
+            ).astype(dtype=np.float32)
+            # Resample:
+            audio = torch.from_numpy(audio)
+            audio = resampler(audio)
+            # Save to audio file:
+            audio_file = output_directory / f"{text_file.stem}.{file_format}"
+
+            torchaudio.save(
+                uri=str(audio_file),
+                src=audio,
+                sample_rate=sample_rate,
+                format=file_format,
+                bits_per_sample=bits_per_sample,
+            )
+
+            # Collect to the successes:
+            successes.append([text_file.name, audio_file.name])
+        except Exception as exception:
+            # Note the exception as error in the dictionary:
+            if verbose:
+                _LOGGER.warning(f"Error in file: '{text_file.name}'")
+            print(exception)
+            errors[text_file.name] = str(exception)
+
+    # Construct the translations dataframe:
+    successes = pd.DataFrame(
+        successes,
+        columns=["text_file", "audio_file"],
+    )
+
+    # Print the head of the produced dataframe and return:
+    if verbose:
+        _LOGGER.info(
+            f"Done ({successes.shape[0]}/{len(text_files)})\n"
+            f"Translations summary:\n"
+            f"{successes.head()}"
+        )
+    return str(output_directory), successes, errors
+
+
+def _get_text_files(
+    data_path: pathlib.Path,
+) -> List[pathlib.Path]:
+    # Check if the path is of a directory or a file:
+    if data_path.is_dir():
+        # Get all files inside the directory:
+        text_files = list(data_path.glob("*.*"))
+    elif data_path.is_file():
+        text_files = [data_path]
+    else:
+        raise ValueError(
+            f"Unrecognized data path. The parameter `data_path` must be either a directory path or a file path. "
+            f"Given: {str(data_path)} "
+        )
+
+    return text_files
+
+
+def _split_line(line: str, max_length: int = 250) -> List[str]:
+    if len(line) < max_length:
+        return [line]
+
+    sentences = [
+        f"{sentence.strip()}." for sentence in line.split(".") if sentence.strip()
+    ]
+
+    splits = []
+    current_length = len(sentences[0])
+    split = sentences[0]
+    for sentence in sentences[1:]:
+        if current_length + len(sentence) > max_length:
+            splits.append(split)
+            split = sentence
+            current_length = len(sentence)
+        else:
+            current_length += len(sentence)
+            split += " " + sentence
+    if split:
+        splits.append(split)
+
+    return splits
+
+
+def _get_logger():
+    global _LOGGER
+    try:
+        import mlrun
+        # Check if MLRun is available:
+        context = mlrun.get_or_create_ctx(name="mlrun")
+        return context.logger
+    except ModuleNotFoundError:
+        return _LOGGER
diff --git a/functions/master/text_to_audio_generator/1.2.0/static/documentation.html b/functions/master/text_to_audio_generator/1.2.0/static/documentation.html
new file mode 100644
index 00000000..7cefacdc
--- /dev/null
+++ b/functions/master/text_to_audio_generator/1.2.0/static/documentation.html
@@ -0,0 +1,255 @@
+
+<!DOCTYPE html>
+
+<html lang="en">
+<head>
+<meta charset="utf-8"/>
+<meta content="width=device-width, initial-scale=1.0" name="viewport"/><meta content="Docutils 0.17.1: http://docutils.sourceforge.net/" name="generator"/>
+<title>text_to_audio_generator package</title>
+<!-- Loaded before other Sphinx assets -->
+<link href="../../../_static/styles/theme.css?digest=1999514e3f237ded88cf" rel="stylesheet"/>
+<link href="../../../_static/styles/pydata-sphinx-theme.css?digest=1999514e3f237ded88cf" rel="stylesheet"/>
+<link href="../../../_static/vendor/fontawesome/5.13.0/css/all.min.css" rel="stylesheet"/>
+<link as="font" crossorigin="" href="../../../_static/vendor/fontawesome/5.13.0/webfonts/fa-solid-900.woff2" rel="preload" type="font/woff2"/>
+<link as="font" crossorigin="" href="../../../_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2" rel="preload" type="font/woff2"/>
+<link href="../../../_static/pygments.css" rel="stylesheet" type="text/css">
+<link href="../../../_static/styles/sphinx-book-theme.css?digest=5115cc725059bd94278eecd172e13a965bf8f5a9" rel="stylesheet" type="text/css">
+<link href="../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" rel="stylesheet" type="text/css">
+<link href="../../../_static/togglebutton.css" rel="stylesheet" type="text/css">
+<!-- Pre-loaded scripts that we'll load fully later -->
+<link as="script" href="../../../_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf" rel="preload"/>
+<script src="../../../_static/scripts/sphinx-book-theme.js?digest=9c920249402e914e316237a7dbc6769907cce411"></script>
+<script data-url_root="./" id="documentation_options" src="../../../_static/documentation_options.js"></script>
+<script src="../../../_static/jquery.js"></script>
+<script src="../../../_static/underscore.js"></script>
+<script src="../../../_static/doctools.js"></script>
+<script>let toggleHintShow = 'Click to show';</script>
+<script>let toggleHintHide = 'Click to hide';</script>
+<script>let toggleOpenOnPrint = 'true';</script>
+<script src="../../../_static/togglebutton.js"></script>
+<script src="../../../_static/scripts/sphinx-book-theme.js"></script>
+<script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+<link href="genindex.html" rel="index" title="Index">
+<link href="search.html" rel="search" title="Search">
+<meta content="width=device-width, initial-scale=1" name="viewport"/>
+<meta content="en" name="docsearch:language"/>
+<!-- Google Analytics -->
+</link></link></link></link></link></link></head>
+<body data-offset="60" data-spy="scroll" data-target="#bd-toc-nav">
+<!-- Checkboxes to toggle the left sidebar -->
+<input aria-label="Toggle navigation sidebar" class="sidebar-toggle" id="__navigation" name="__navigation" type="checkbox"/>
+<label class="overlay overlay-navbar" for="__navigation">
+<div class="visually-hidden">Toggle navigation sidebar</div>
+</label>
+<!-- Checkboxes to toggle the in-page toc -->
+<input aria-label="Toggle in-page Table of Contents" class="sidebar-toggle" id="__page-toc" name="__page-toc" type="checkbox"/>
+<label class="overlay overlay-pagetoc" for="__page-toc">
+<div class="visually-hidden">Toggle in-page Table of Contents</div>
+</label>
+<!-- Headers at the top -->
+<div class="announcement header-item noprint"></div>
+<div class="header header-item noprint"></div>
+<div class="container-fluid" id="banner"></div>
+<div class="container-xl">
+<div class="row">
+<!-- Sidebar -->
+<div class="bd-sidebar noprint single-page" id="site-navigation">
+</div>
+<!-- A tiny helper pixel to detect if we've scrolled -->
+<div class="sbt-scroll-pixel-helper"></div>
+<!-- Main content -->
+<div class="col py-0 content-container">
+<div class="header-article row sticky-top noprint">
+<div class="col py-1 d-flex header-article-main">
+<div class="header-article__left">
+</div>
+<div class="header-article__right">
+<button class="headerbtn" data-placement="bottom" data-toggle="tooltip" onclick="toggleFullScreen()" title="Fullscreen mode">
+<span class="headerbtn__icon-container">
+<i class="fas fa-expand"></i>
+</span>
+</button>
+<div class="menu-dropdown menu-dropdown-repository-buttons">
+<button aria-label="Source repositories" class="headerbtn menu-dropdown__trigger">
+<i class="fab fa-github"></i>
+</button>
+<div class="menu-dropdown__content">
+<ul>
+<li>
+<a class="headerbtn" data-placement="left" data-toggle="tooltip" href="https://github.com/mlrun/marketplace" title="Source repository">
+<span class="headerbtn__icon-container">
+<i class="fab fa-github"></i>
+</span>
+<span class="headerbtn__text-container">repository</span>
+</a>
+</li>
+<li>
+<a class="headerbtn" data-placement="left" data-toggle="tooltip" href="https://github.com/mlrun/marketplace/issues/new?title=Issue%20on%20page%20%2Ftext_to_audio_generator.html&amp;body=Your%20issue%20content%20here." title="Open an issue">
+<span class="headerbtn__icon-container">
+<i class="fas fa-lightbulb"></i>
+</span>
+<span class="headerbtn__text-container">open issue</span>
+</a>
+</li>
+<li>
+
+</li>
+</ul>
+</div>
+</div>
+<div class="menu-dropdown menu-dropdown-download-buttons">
+<button aria-label="Download this page" class="headerbtn menu-dropdown__trigger">
+<i class="fas fa-download"></i>
+</button>
+<div class="menu-dropdown__content">
+<ul>
+<li>
+
+</li>
+<li>
+<button class="headerbtn" data-placement="left" data-toggle="tooltip" onclick="printPdf(this)" title="Print to PDF">
+<span class="headerbtn__icon-container">
+<i class="fas fa-file-pdf"></i>
+</span>
+<span class="headerbtn__text-container">.pdf</span>
+</button>
+</li>
+</ul>
+</div>
+</div>
+<label class="headerbtn headerbtn-page-toc" for="__page-toc">
+<span class="headerbtn__icon-container">
+<i class="fas fa-list"></i>
+</span>
+</label>
+</div>
+</div>
+<!-- Table of contents -->
+<div class="col-md-3 bd-toc show noprint">
+<div class="tocsection onthispage pt-5 pb-3">
+<i class="fas fa-list"></i> Contents
+    </div>
+<nav aria-label="Page" id="bd-toc-nav">
+<ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#submodules">
+   Submodules
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#module-text_to_audio_generator.text_to_audio_generator">
+   text_to_audio_generator.text_to_audio_generator module
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#module-text_to_audio_generator">
+   Module contents
+  </a>
+</li>
+</ul>
+</nav>
+</div>
+</div>
+<div class="article row">
+<div class="col pl-md-3 pl-lg-5 content-container">
+<!-- Table of contents that is only displayed when printing the page -->
+<div class="onlyprint" id="jb-print-docs-body">
+<h1>text_to_audio_generator package</h1>
+<!-- Table of contents -->
+<div id="print-main-content">
+<div id="jb-print-toc">
+<div>
+<h2> Contents </h2>
+</div>
+<nav aria-label="Page">
+<ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#submodules">
+   Submodules
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#module-text_to_audio_generator.text_to_audio_generator">
+   text_to_audio_generator.text_to_audio_generator module
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#module-text_to_audio_generator">
+   Module contents
+  </a>
+</li>
+</ul>
+</nav>
+</div>
+</div>
+</div>
+<main id="main-content" role="main">
+<div>
+<section id="text-to-audio-generator-package">
+<h1>text_to_audio_generator package<a class="headerlink" href="#text-to-audio-generator-package" title="Permalink to this headline">#</a></h1>
+<section id="submodules">
+<h2>Submodules<a class="headerlink" href="#submodules" title="Permalink to this headline">#</a></h2>
+</section>
+<section id="module-text_to_audio_generator.text_to_audio_generator">
+<span id="text-to-audio-generator-text-to-audio-generator-module"></span><h2>text_to_audio_generator.text_to_audio_generator module<a class="headerlink" href="#module-text_to_audio_generator.text_to_audio_generator" title="Permalink to this headline">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="text_to_audio_generator.text_to_audio_generator.generate_multi_speakers_audio">
+<span class="sig-prename descclassname"><span class="pre">text_to_audio_generator.text_to_audio_generator.</span></span><span class="sig-name descname"><span class="pre">generate_multi_speakers_audio</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">speakers</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span> </span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">available_voices</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_directory</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_gpu</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_small_models</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">offload_cpu</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">16000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">file_format</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'wav'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bits_per_sample</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> → <span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span> </span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span><a class="reference internal" href="text_to_audio_generator.html#generate_multi_speakers_audio"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#text_to_audio_generator.text_to_audio_generator.generate_multi_speakers_audio" title="Permalink to this definition">#</a></dt>
+<dd><p>Generate audio files from text files.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data_path</strong> – Path to the text file or directory containing the text files to generate audio from.</p></li>
+<li><p><strong>speakers</strong> – List / Dict of speakers to generate audio for.
+If a list is given, the speakers will be assigned to channels in the order given.
+If dictionary, the keys will be the speakers and the values will be the channels.</p></li>
+<li><p><strong>available_voices</strong> – List of available voices to use for the generation.
+See here for the available voices:
+<a class="reference external" href="https://suno-ai.notion.site/8b8e8749ed514b0cbf3f699013548683?v=bc67cff786b04b50b3ceb756fd05f68c">https://suno-ai.notion.site/8b8e8749ed514b0cbf3f699013548683?v=bc67cff786b04b50b3ceb756fd05f68c</a></p></li>
+<li><p><strong>output_directory</strong> – Path to the directory to save the generated audio files to.</p></li>
+<li><p><strong>use_gpu</strong> – Whether to use the GPU for the generation.</p></li>
+<li><p><strong>use_small_models</strong> – Whether to use the small models for the generation.</p></li>
+<li><p><strong>offload_cpu</strong> – To reduce the memory footprint, the models can be offloaded to the CPU after loading.</p></li>
+<li><p><strong>sample_rate</strong> – The sampling rate of the generated audio.</p></li>
+<li><p><strong>file_format</strong> – The format of the generated audio files.</p></li>
+<li><p><strong>verbose</strong> – Whether to print the progress of the generation.</p></li>
+<li><p><strong>bits_per_sample</strong> – Changes the bit depth for the supported formats.
+Supported only in “wav” or “flac” formats.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>A tuple of:
+- The output directory path.
+- The generated audio files dataframe.
+- The errors dictionary.</p>
+</dd>
+</dl>
+</dd></dl>
+</section>
+<section id="module-text_to_audio_generator">
+<span id="module-contents"></span><h2>Module contents<a class="headerlink" href="#module-text_to_audio_generator" title="Permalink to this headline">#</a></h2>
+</section>
+</section>
+</div>
+</main>
+<footer class="footer-article noprint">
+<!-- Previous / next buttons -->
+<div class="prev-next-area">
+</div>
+</footer>
+</div>
+</div>
+<div class="footer-content row">
+<footer class="col footer"><p>
+  
+      © Copyright .<br/>
+</p>
+</footer>
+</div>
+</div>
+</div>
+</div>
+<!-- Scripts loaded after <body> so the DOM is not blocked -->
+<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf"></script>
+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/text_to_audio_generator/1.2.0/static/example.html b/functions/master/text_to_audio_generator/1.2.0/static/example.html
new file mode 100644
index 00000000..17b2e2b4
--- /dev/null
+++ b/functions/master/text_to_audio_generator/1.2.0/static/example.html
@@ -0,0 +1,523 @@
+
+<!DOCTYPE html>
+
+<html lang="en">
+<head>
+<meta charset="utf-8"/>
+<meta content="width=device-width, initial-scale=1.0" name="viewport"/><meta content="Docutils 0.17.1: http://docutils.sourceforge.net/" name="generator"/>
+<title>Text to audio conversation generator</title>
+<!-- Loaded before other Sphinx assets -->
+<link href="../../../_static/styles/theme.css?digest=1999514e3f237ded88cf" rel="stylesheet"/>
+<link href="../../../_static/styles/pydata-sphinx-theme.css?digest=1999514e3f237ded88cf" rel="stylesheet"/>
+<link href="../../../_static/vendor/fontawesome/5.13.0/css/all.min.css" rel="stylesheet"/>
+<link as="font" crossorigin="" href="../../../_static/vendor/fontawesome/5.13.0/webfonts/fa-solid-900.woff2" rel="preload" type="font/woff2"/>
+<link as="font" crossorigin="" href="../../../_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2" rel="preload" type="font/woff2"/>
+<link href="../../../_static/pygments.css" rel="stylesheet" type="text/css">
+<link href="../../../_static/styles/sphinx-book-theme.css?digest=5115cc725059bd94278eecd172e13a965bf8f5a9" rel="stylesheet" type="text/css">
+<link href="../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" rel="stylesheet" type="text/css">
+<link href="../../../_static/togglebutton.css" rel="stylesheet" type="text/css">
+<!-- Pre-loaded scripts that we'll load fully later -->
+<link as="script" href="../../../_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf" rel="preload"/>
+<script src="../../../_static/scripts/sphinx-book-theme.js?digest=9c920249402e914e316237a7dbc6769907cce411"></script>
+<script data-url_root="./" id="documentation_options" src="../../../_static/documentation_options.js"></script>
+<script src="../../../_static/jquery.js"></script>
+<script src="../../../_static/underscore.js"></script>
+<script src="../../../_static/doctools.js"></script>
+<script>let toggleHintShow = 'Click to show';</script>
+<script>let toggleHintHide = 'Click to hide';</script>
+<script>let toggleOpenOnPrint = 'true';</script>
+<script src="../../../_static/togglebutton.js"></script>
+<script src="../../../_static/scripts/sphinx-book-theme.js"></script>
+<script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+<link href="genindex.html" rel="index" title="Index">
+<link href="search.html" rel="search" title="Search">
+<meta content="width=device-width, initial-scale=1" name="viewport"/>
+<meta content="en" name="docsearch:language"/>
+<!-- Google Analytics -->
+</link></link></link></link></link></link></head>
+<body data-offset="60" data-spy="scroll" data-target="#bd-toc-nav">
+<!-- Checkboxes to toggle the left sidebar -->
+<input aria-label="Toggle navigation sidebar" class="sidebar-toggle" id="__navigation" name="__navigation" type="checkbox"/>
+<label class="overlay overlay-navbar" for="__navigation">
+<div class="visually-hidden">Toggle navigation sidebar</div>
+</label>
+<!-- Checkboxes to toggle the in-page toc -->
+<input aria-label="Toggle in-page Table of Contents" class="sidebar-toggle" id="__page-toc" name="__page-toc" type="checkbox"/>
+<label class="overlay overlay-pagetoc" for="__page-toc">
+<div class="visually-hidden">Toggle in-page Table of Contents</div>
+</label>
+<!-- Headers at the top -->
+<div class="announcement header-item noprint"></div>
+<div class="header header-item noprint"></div>
+<div class="container-fluid" id="banner"></div>
+<div class="container-xl">
+<div class="row">
+<!-- Sidebar -->
+<div class="bd-sidebar noprint single-page" id="site-navigation">
+</div>
+<!-- A tiny helper pixel to detect if we've scrolled -->
+<div class="sbt-scroll-pixel-helper"></div>
+<!-- Main content -->
+<div class="col py-0 content-container">
+<div class="header-article row sticky-top noprint">
+<div class="col py-1 d-flex header-article-main">
+<div class="header-article__left">
+</div>
+<div class="header-article__right">
+<button class="headerbtn" data-placement="bottom" data-toggle="tooltip" onclick="toggleFullScreen()" title="Fullscreen mode">
+<span class="headerbtn__icon-container">
+<i class="fas fa-expand"></i>
+</span>
+</button>
+<div class="menu-dropdown menu-dropdown-repository-buttons">
+<button aria-label="Source repositories" class="headerbtn menu-dropdown__trigger">
+<i class="fab fa-github"></i>
+</button>
+<div class="menu-dropdown__content">
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+<span class="headerbtn__icon-container">
+<i class="fas fa-lightbulb"></i>
+</span>
+<span class="headerbtn__text-container">open issue</span>
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+<a class="headerbtn" data-placement="left" data-toggle="tooltip" href="https://github.com/mlrun/marketplace/edit/master/docs/text_to_audio_generator_example.ipynb" title="Edit this page">
+<span class="headerbtn__icon-container">
+<i class="fas fa-pencil-alt"></i>
+</span>
+<span class="headerbtn__text-container">suggest edit</span>
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+<div class="menu-dropdown menu-dropdown-download-buttons">
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+<a class="headerbtn" data-placement="left" data-toggle="tooltip" href="../src/text_to_audio_generator.ipynb" title="Download source file">
+<span class="headerbtn__icon-container">
+<i class="fas fa-file"></i>
+</span>
+<span class="headerbtn__text-container">.ipynb</span>
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+<span class="headerbtn__icon-container">
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+</span>
+<span class="headerbtn__text-container">.pdf</span>
+</button>
+</li>
+</ul>
+</div>
+</div>
+<label class="headerbtn headerbtn-page-toc" for="__page-toc">
+<span class="headerbtn__icon-container">
+<i class="fas fa-list"></i>
+</span>
+</label>
+</div>
+</div>
+<!-- Table of contents -->
+<div class="col-md-3 bd-toc show noprint">
+<div class="tocsection onthispage pt-5 pb-3">
+<i class="fas fa-list"></i> Contents
+    </div>
+<nav aria-label="Page" id="bd-toc-nav">
+<ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#example-usage">
+   Example Usage:
+  </a>
+</li>
+</ul>
+</nav>
+</div>
+</div>
+<div class="article row">
+<div class="col pl-md-3 pl-lg-5 content-container">
+<!-- Table of contents that is only displayed when printing the page -->
+<div class="onlyprint" id="jb-print-docs-body">
+<h1>Text to audio conversation generator</h1>
+<!-- Table of contents -->
+<div id="print-main-content">
+<div id="jb-print-toc">
+<div>
+<h2> Contents </h2>
+</div>
+<nav aria-label="Page">
+<ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#example-usage">
+   Example Usage:
+  </a>
+</li>
+</ul>
+</nav>
+</div>
+</div>
+</div>
+<main id="main-content" role="main">
+<div>
+<section id="text-to-audio-conversation-generator">
+<h1>Text to audio conversation generator<a class="headerlink" href="#text-to-audio-conversation-generator" title="Permalink to this headline">#</a></h1>
+<p>This function converts the text from a specified text file into speech and saves this as an audio file using the Bark library.<br/>
+It’s designed to facilitate easy generation of speech from written transcripts.</p>
+<section id="example-usage">
+<h2>Example Usage:<a class="headerlink" href="#example-usage" title="Permalink to this headline">#</a></h2>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">mlrun</span>
+<span class="kn">import</span> <span class="nn">tempfile</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Import function </span>
+<span class="n">text_to_audio_generator_function</span> <span class="o">=</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">import_function</span><span class="p">(</span><span class="s2">"hub://text_to_audio_generator"</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Run the function with desired text files</span>
+<span class="n">function_run</span> <span class="o">=</span> <span class="n">text_to_audio_generator_function</span><span class="o">.</span><span class="n">run</span><span class="p">(</span>
+    <span class="n">handler</span><span class="o">=</span><span class="s2">"generate_multi_speakers_audio"</span><span class="p">,</span>
+    <span class="n">inputs</span><span class="o">=</span><span class="p">{</span><span class="s2">"data_path"</span><span class="p">:</span> <span class="s2">"./test_data.txt"</span><span class="p">},</span>
+    <span class="n">params</span><span class="o">=</span><span class="p">{</span>
+        <span class="s2">"output_directory"</span><span class="p">:</span> <span class="s2">"./out"</span><span class="p">,</span>
+        <span class="s2">"speakers"</span><span class="p">:</span> <span class="p">{</span><span class="s2">"Agent"</span><span class="p">:</span> <span class="mi">0</span><span class="p">,</span> <span class="s2">"Client"</span><span class="p">:</span> <span class="mi">1</span><span class="p">},</span>
+        <span class="s2">"available_voices"</span><span class="p">:</span> <span class="p">[</span>
+            <span class="s2">"v2/en_speaker_0"</span><span class="p">,</span>
+            <span class="s2">"v2/en_speaker_1"</span><span class="p">,</span>
+        <span class="p">],</span>
+        <span class="s2">"use_small_models"</span><span class="p">:</span> <span class="kc">True</span><span class="p">,</span>
+        <span class="s2">"use_gpu"</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span>
+        <span class="s2">"offload_cpu"</span><span class="p">:</span> <span class="kc">True</span><span class="p">,</span>
+        <span class="s2">"file_format"</span><span class="p">:</span> <span class="s2">"mp3"</span><span class="p">,</span>
+        <span class="c1"># "bits_per_sample": 8,</span>
+    <span class="p">},</span>
+    <span class="n">local</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+    <span class="n">returns</span><span class="o">=</span><span class="p">[</span>
+        <span class="s2">"audio_files: path"</span><span class="p">,</span>
+        <span class="s2">"audio_files_dataframe: dataset"</span><span class="p">,</span>
+        <span class="s2">"text_to_speech_errors: file"</span><span class="p">,</span>
+    <span class="p">],</span>
+<span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&gt; 2023-12-04 14:08:48,769 [info] Storing function: {'name': 'text-to-audio-generator-generate-multi-speakers-audio', 'uid': 'ba017dfc11624de9afb5e148a6678a8b', 'db': 'http://mlrun-api:8080'}
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.
+Generating: 100%|██████████| 1/1 [00:23&lt;00:00, 23.74s/file]
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&gt; 2023-12-04 14:10:05,123 [info] Done (1/1)
+Translations summary:
+       text_file     audio_file
+0  test_data.txt  test_data.mp3
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+<div class="output text_html"><style>
+.dictlist {
+  background-color: #4EC64B;
+  text-align: center;
+  margin: 4px;
+  border-radius: 3px; padding: 0px 3px 1px 3px; display: inline-block;}
+.artifact {
+  cursor: pointer;
+  background-color: #4EC64B;
+  text-align: left;
+  margin: 4px; border-radius: 3px; padding: 0px 3px 1px 3px; display: inline-block;
+}
+div.block.hidden {
+  display: none;
+}
+.clickable {
+  cursor: pointer;
+}
+.ellipsis {
+  display: inline-block;
+  max-width: 60px;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+}
+.master-wrapper {
+  display: flex;
+  flex-flow: row nowrap;
+  justify-content: flex-start;
+  align-items: stretch;
+}
+.master-tbl {
+  flex: 3
+}
+.master-wrapper > div {
+  margin: 4px;
+  padding: 10px;
+}
+iframe.fileview {
+  border: 0 none;
+  height: 100%;
+  width: 100%;
+  white-space: pre-wrap;
+}
+.pane-header-title {
+  width: 80%;
+  font-weight: 500;
+}
+.pane-header {
+  line-height: 1;
+  background-color: #4EC64B;
+  padding: 3px;
+}
+.pane-header .close {
+  font-size: 20px;
+  font-weight: 700;
+  float: right;
+  margin-top: -5px;
+}
+.master-wrapper .right-pane {
+  border: 1px inset silver;
+  width: 40%;
+  min-height: 300px;
+  flex: 3
+  min-width: 500px;
+}
+.master-wrapper * {
+  box-sizing: border-box;
+}
+</style><script>
+function copyToClipboard(fld) {
+    if (document.queryCommandSupported && document.queryCommandSupported('copy')) {
+        var textarea = document.createElement('textarea');
+        textarea.textContent = fld.innerHTML;
+        textarea.style.position = 'fixed';
+        document.body.appendChild(textarea);
+        textarea.select();
+
+        try {
+            return document.execCommand('copy'); // Security exception may be thrown by some browsers.
+        } catch (ex) {
+
+        } finally {
+            document.body.removeChild(textarea);
+        }
+    }
+}
+function expandPanel(el) {
+  const panelName = "#" + el.getAttribute('paneName');
+  console.log(el.title);
+
+  document.querySelector(panelName + "-title").innerHTML = el.title
+  iframe = document.querySelector(panelName + "-body");
+
+  const tblcss = `<style> body { font-family: Arial, Helvetica, sans-serif;}
+    #csv { margin-bottom: 15px; }
+    #csv table { border-collapse: collapse;}
+    #csv table td { padding: 4px 8px; border: 1px solid silver;} </style>`;
+
+  function csvToHtmlTable(str) {
+    return '<div id="csv"><table><tr><td>' +  str.replace(/[\n\r]+$/g, '').replace(/[\n\r]+/g, '</td></tr><tr><td>')
+      .replace(/,/g, '</td><td>') + '</td></tr></table></div>';
+  }
+
+  function reqListener () {
+    if (el.title.endsWith(".csv")) {
+      iframe.setAttribute("srcdoc", tblcss + csvToHtmlTable(this.responseText));
+    } else {
+      iframe.setAttribute("srcdoc", this.responseText);
+    }
+    console.log(this.responseText);
+  }
+
+  const oReq = new XMLHttpRequest();
+  oReq.addEventListener("load", reqListener);
+  oReq.open("GET", el.title);
+  oReq.send();
+
+
+  //iframe.src = el.title;
+  const resultPane = document.querySelector(panelName + "-pane");
+  if (resultPane.classList.contains("hidden")) {
+    resultPane.classList.remove("hidden");
+  }
+}
+function closePanel(el) {
+  const panelName = "#" + el.getAttribute('paneName')
+  const resultPane = document.querySelector(panelName + "-pane");
+  if (!resultPane.classList.contains("hidden")) {
+    resultPane.classList.add("hidden");
+  }
+}
+
+</script>
+<div class="master-wrapper">
+<div class="block master-tbl"><div>
+<style scoped="">
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+<thead>
+<tr style="text-align: right;">
+<th>project</th>
+<th>uid</th>
+<th>iter</th>
+<th>start</th>
+<th>state</th>
+<th>name</th>
+<th>labels</th>
+<th>inputs</th>
+<th>parameters</th>
+<th>results</th>
+<th>artifacts</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td>default</td>
+<td><div title="ba017dfc11624de9afb5e148a6678a8b"><a href="https://dashboard.default-tenant.app.llm2.iguazio-cd0.com/mlprojects/default/jobs/monitor/ba017dfc11624de9afb5e148a6678a8b/overview" target="_blank">...a6678a8b</a></div></td>
+<td>0</td>
+<td>Dec 04 14:08:48</td>
+<td>completed</td>
+<td>text-to-audio-generator-generate-multi-speakers-audio</td>
+<td><div class="dictlist">v3io_user=yonis</div><div class="dictlist">kind=local</div><div class="dictlist">owner=yonis</div><div class="dictlist">host=jupyter-yonis-7c9bdbfb4d-9g2p2</div></td>
+<td><div class="artifact" onclick="expandPanel(this)" panename="resultf0d58916" title="/files/text_to_audio/test_data.txt">data_path</div></td>
+<td><div class="dictlist">output_directory=./out</div><div class="dictlist">speakers={'Agent': 0, 'Client': 1}</div><div class="dictlist">available_voices=['v2/en_speaker_0', 'v2/en_speaker_1']</div><div class="dictlist">use_small_models=True</div><div class="dictlist">use_gpu=False</div><div class="dictlist">offload_cpu=True</div><div class="dictlist">file_format=mp3</div></td>
+<td></td>
+<td><div title="v3io:///projects/default/artifacts/text-to-audio-generator-generate-multi-speakers-audio/0/audio_files.zip">audio_files</div><div title="v3io:///projects/default/artifacts/text-to-audio-generator-generate-multi-speakers-audio/0/audio_files_dataframe.parquet">audio_files_dataframe</div><div class="artifact" onclick="expandPanel(this)" panename="resultf0d58916" title="files/v3io/projects/default/artifacts/text-to-audio-generator-generate-multi-speakers-audio/0/text_to_speech_errors.json">text_to_speech_errors</div></td>
+</tr>
+</tbody>
+</table>
+</div></div>
+<div class="right-pane block hidden" id="resultf0d58916-pane">
+<div class="pane-header">
+<span class="pane-header-title" id="resultf0d58916-title">Title</span>
+<span class="close clickable" onclick="closePanel(this)" panename="resultf0d58916">×</span>
+</div>
+<iframe class="fileview" id="resultf0d58916-body"></iframe>
+</div>
+</div>
+</div><div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+<div class="output text_html"><b> &gt; to track results use the .show() or .logs() methods  or <a href="https://dashboard.default-tenant.app.llm2.iguazio-cd0.com/mlprojects/default/jobs/monitor/ba017dfc11624de9afb5e148a6678a8b/overview" target="_blank">click here</a> to open in UI</b></div><div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&gt; 2023-12-04 14:10:05,486 [info] Run execution finished: {'status': 'completed', 'name': 'text-to-audio-generator-generate-multi-speakers-audio'}
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">function_run</span><span class="o">.</span><span class="n">artifact</span><span class="p">(</span><span class="s2">"audio_files_dataframe"</span><span class="p">)</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_html"><div>
+<style scoped="">
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>text_file</th>
+<th>audio_file</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>0</th>
+<td>test_data.txt</td>
+<td>test_data.mp3</td>
+</tr>
+</tbody>
+</table>
+</div></div></div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">IPython</span>
+
+<span class="n">IPython</span><span class="o">.</span><span class="n">display</span><span class="o">.</span><span class="n">Audio</span><span class="p">(</span><span class="s2">"./out/test_data.mp3"</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_html">
+<audio controls="controls">
+<source 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" type="audio/mpeg"/>
+                    Your browser does not support the audio element.
+                </audio>
+</div></div>
+</div>
+</section>
+</section>
+</div>
+</main>
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+  
+      © Copyright .<br>
+</br></p>
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+<!-- Scripts loaded after <body> so the DOM is not blocked -->
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diff --git a/functions/master/text_to_audio_generator/1.2.0/static/function.html b/functions/master/text_to_audio_generator/1.2.0/static/function.html
new file mode 100644
index 00000000..5ed19c22
--- /dev/null
+++ b/functions/master/text_to_audio_generator/1.2.0/static/function.html
@@ -0,0 +1,117 @@
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta content="IE=edge" http-equiv="X-UA-Compatible">
+    <meta content="width=device-width, initial-scale=1.0" name="viewport">
+    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/styles/atom-one-dark.min.css">
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/highlight.min.js"></script>
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/languages/yaml.min.js"></script>
+    <title>Source</title>
+    <script>hljs.highlightAll();</script>
+</head>
+
+<body style="background-color:darkgray; margin: 0 0 0 0;">
+    <pre style="margin: 0 1em;">
+        <code class="yaml">
+kind: job
+metadata:
+  name: text-to-audio-generator
+  tag: ''
+  hash: 89fcaf3fab53e7b7fbba448a5e65c253d7fa66ed
+  project: ''
+  labels:
+    author: yonatans
+  categories:
+  - data-preparation
+  - machine-learning
+  - pytorch
+spec:
+  command: ''
+  args: []
+  image: ''
+  build:
+    functionSourceCode: # Copyright 2023 Iguazio
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import logging
import pathlib
import random
import tempfile
from typing import Dict, List, Optional, Tuple, Union

import bark
import numpy as np
import pandas as pd
import torch
import torchaudio
import tqdm

# Get the global logger:
_LOGGER = logging.getLogger()


def generate_multi_speakers_audio(
    data_path: str,
    speakers: Union[List[str], Dict[str, int]],
    available_voices: List[str],
    output_directory: str = None,
    use_gpu: bool = True,
    use_small_models: bool = False,
    offload_cpu: bool = False,
    sample_rate: int = 16000,
    file_format: str = "wav",
    verbose: bool = True,
    bits_per_sample: Optional[int] = None,
) -> Tuple[str, pd.DataFrame, dict]:
    """
    Generate audio files from text files.

    :param data_path:           Path to the text file or directory containing the text files to generate audio from.
    :param speakers:            List / Dict of speakers to generate audio for.
                                If a list is given, the speakers will be assigned to channels in the order given.
                                If dictionary, the keys will be the speakers and the values will be the channels.
    :param available_voices:    List of available voices to use for the generation.
                        See here for the available voices:
                        https://suno-ai.notion.site/8b8e8749ed514b0cbf3f699013548683?v=bc67cff786b04b50b3ceb756fd05f68c
    :param output_directory:    Path to the directory to save the generated audio files to.
    :param use_gpu:             Whether to use the GPU for the generation.
    :param use_small_models:    Whether to use the small models for the generation.
    :param offload_cpu:         To reduce the memory footprint, the models can be offloaded to the CPU after loading.
    :param sample_rate:         The sampling rate of the generated audio.
    :param file_format:         The format of the generated audio files.
    :param verbose:             Whether to print the progress of the generation.
    :param bits_per_sample:     Changes the bit depth for the supported formats.
                                Supported only in "wav" or "flac" formats.

    :returns:                   A tuple of:
                                - The output directory path.
                                - The generated audio files dataframe.
                                - The errors dictionary.
    """

    global _LOGGER
    _LOGGER = _get_logger()
    # Get the input text files to turn to audio:
    data_path = pathlib.Path(data_path).absolute()
    text_files = _get_text_files(data_path=data_path)

    # Load the bark models according to the given configurations:
    bark.preload_models(
        text_use_gpu=use_gpu,
        text_use_small=use_small_models,
        coarse_use_gpu=use_gpu,
        coarse_use_small=use_small_models,
        fine_use_gpu=use_gpu,
        fine_use_small=use_small_models,
        codec_use_gpu=use_gpu,
        force_reload=offload_cpu,
    )

    # Check for per channel generation:
    if isinstance(speakers, dict):
        speaker_per_channel = True
        # Sort the given speakers by channels:
        speakers = {
            speaker: channel
            for speaker, channel in sorted(speakers.items(), key=lambda item: item[1])
        }
    else:
        speaker_per_channel = False

    # Prepare the resampling module:
    resampler = torchaudio.transforms.Resample(
        orig_freq=bark.SAMPLE_RATE, new_freq=sample_rate, dtype=torch.float32
    )

    # Prepare the gap between each speaker:
    gap_between_speakers = np.zeros(int(0.5 * bark.SAMPLE_RATE))

    # Prepare the successes dataframe and errors dictionary to be returned:
    successes = []
    errors = {}

    # Create the output directory:
    if output_directory is None:
        output_directory = tempfile.mkdtemp()
    output_directory = pathlib.Path(output_directory)
    if not output_directory.exists():
        output_directory.mkdir(exist_ok=True, parents=True)

    # Start generating audio:
    # Go over the audio files and transcribe:
    for text_file in tqdm.tqdm(
        text_files, desc="Generating", unit="file", disable=not verbose
    ):

        try:
            # Randomize voices for each speaker:
            chosen_voices = {}
            available_voices_copy = available_voices.copy()
            for speaker in speakers:
                voice = random.choice(available_voices_copy)
                chosen_voices[speaker] = voice
                available_voices_copy.remove(voice)
            # Read text:
            with open(text_file, "r") as fp:
                text = fp.read()
            # Prepare a holder for all the generated pieces (if per channel each speaker will have its own):
            audio_pieces = (
                {speaker: [] for speaker in speakers}
                if speaker_per_channel
                else {"all": []}
            )

            # Generate audio per line:
            for line in text.splitlines():
                # Validate line is in correct speaker format:

                if ": " not in line:
                    if verbose:
                        _LOGGER.warning(f"Skipping line: {line}")
                    continue
                # Split line to speaker and his words:
                current_speaker, sentences = line.split(": ", 1)
                # Validate speaker is known:
                if current_speaker not in speakers:
                    raise ValueError(
                        f"Unknown speaker: {current_speaker}. Given speakers are: {speakers}"
                    )
                for sentence in _split_line(line=sentences):
                    # Generate words audio:
                    audio = bark.generate_audio(
                        sentence,
                        history_prompt=chosen_voices[current_speaker],
                        silent=True,
                    )
                    if speaker_per_channel:
                        silence = np.zeros_like(audio)
                        for speaker in audio_pieces.keys():
                            if speaker == current_speaker:
                                audio_pieces[speaker] += [audio, gap_between_speakers]
                            else:
                                audio_pieces[speaker] += [silence, gap_between_speakers]
                    else:
                        audio_pieces["all"] += [audio, gap_between_speakers]
            # Construct a single audio array from all the pieces and channels:

            audio = np.vstack(
                [np.concatenate(audio_pieces[speaker]) for speaker in speakers]
            ).astype(dtype=np.float32)
            # Resample:
            audio = torch.from_numpy(audio)
            audio = resampler(audio)
            # Save to audio file:
            audio_file = output_directory / f"{text_file.stem}.{file_format}"

            torchaudio.save(
                uri=str(audio_file),
                src=audio,
                sample_rate=sample_rate,
                format=file_format,
                bits_per_sample=bits_per_sample,
            )

            # Collect to the successes:
            successes.append([text_file.name, audio_file.name])
        except Exception as exception:
            # Note the exception as error in the dictionary:
            if verbose:
                _LOGGER.warning(f"Error in file: '{text_file.name}'")
            print(exception)
            errors[text_file.name] = str(exception)

    # Construct the translations dataframe:
    successes = pd.DataFrame(
        successes,
        columns=["text_file", "audio_file"],
    )

    # Print the head of the produced dataframe and return:
    if verbose:
        _LOGGER.info(
            f"Done ({successes.shape[0]}/{len(text_files)})\n"
            f"Translations summary:\n"
            f"{successes.head()}"
        )
    return str(output_directory), successes, errors


def _get_text_files(
    data_path: pathlib.Path,
) -> List[pathlib.Path]:
    # Check if the path is of a directory or a file:
    if data_path.is_dir():
        # Get all files inside the directory:
        text_files = list(data_path.glob("*.*"))
    elif data_path.is_file():
        text_files = [data_path]
    else:
        raise ValueError(
            f"Unrecognized data path. The parameter `data_path` must be either a directory path or a file path. "
            f"Given: {str(data_path)} "
        )

    return text_files


def _split_line(line: str, max_length: int = 250) -> List[str]:
    if len(line) < max_length:
        return [line]

    sentences = [
        f"{sentence.strip()}." for sentence in line.split(".") if sentence.strip()
    ]

    splits = []
    current_length = len(sentences[0])
    split = sentences[0]
    for sentence in sentences[1:]:
        if current_length + len(sentence) > max_length:
            splits.append(split)
            split = sentence
            current_length = len(sentence)
        else:
            current_length += len(sentence)
            split += " " + sentence
    if split:
        splits.append(split)

    return splits


def _get_logger():
    global _LOGGER
    try:
        import mlrun
        # Check if MLRun is available:
        context = mlrun.get_or_create_ctx(name="mlrun")
        return context.logger
    except ModuleNotFoundError:
        return _LOGGER

+    base_image: mlrun/mlrun
+    commands: []
+    code_origin: ''
+    origin_filename: ''
+    requirements:
+    - bark
+    - torchaudio
+  entry_points:
+    generate_multi_speakers_audio:
+      name: generate_multi_speakers_audio
+      doc: Generate audio files from text files.
+      parameters:
+      - name: data_path
+        type: str
+        doc: Path to the text file or directory containing the text files to generate
+          audio from.
+      - name: speakers
+        type: Union[List[str], Dict[str, int]]
+        doc: List / Dict of speakers to generate audio for. If a list is given, the
+          speakers will be assigned to channels in the order given. If dictionary,
+          the keys will be the speakers and the values will be the channels.
+      - name: available_voices
+        type: List[str]
+        doc: 'List of available voices to use for the generation. See here for the
+          available voices: https://suno-ai.notion.site/8b8e8749ed514b0cbf3f699013548683?v=bc67cff786b04b50b3ceb756fd05f68c'
+      - name: output_directory
+        type: str
+        doc: Path to the directory to save the generated audio files to.
+        default: null
+      - name: use_gpu
+        type: bool
+        doc: Whether to use the GPU for the generation.
+        default: true
+      - name: use_small_models
+        type: bool
+        doc: Whether to use the small models for the generation.
+        default: false
+      - name: offload_cpu
+        type: bool
+        doc: To reduce the memory footprint, the models can be offloaded to the CPU
+          after loading.
+        default: false
+      - name: sample_rate
+        type: int
+        doc: The sampling rate of the generated audio.
+        default: 16000
+      - name: file_format
+        type: str
+        doc: The format of the generated audio files.
+        default: wav
+      - name: verbose
+        type: bool
+        doc: Whether to print the progress of the generation.
+        default: true
+      - name: bits_per_sample
+        type: Optional[int]
+        doc: Changes the bit depth for the supported formats. Supported only in "wav"
+          or "flac" formats.
+        default: null
+      outputs:
+      - doc: 'A tuple of: - The output directory path. - The generated audio files
+          dataframe. - The errors dictionary.'
+        type: Tuple[str, pd.DataFrame, dict]
+      lineno: 31
+      has_varargs: false
+      has_kwargs: false
+  description: Generate audio file from text using different speakers
+  default_handler: generate_multi_speakers_audio
+  disable_auto_mount: false
+  clone_target_dir: ''
+  env: []
+  priority_class_name: ''
+  preemption_mode: prevent
+  affinity: null
+  tolerations: null
+  security_context: {}
+verbose: false
+
+        </code>
+    </pre>
+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/text_to_audio_generator/1.2.0/static/item.html b/functions/master/text_to_audio_generator/1.2.0/static/item.html
new file mode 100644
index 00000000..282a8a3a
--- /dev/null
+++ b/functions/master/text_to_audio_generator/1.2.0/static/item.html
@@ -0,0 +1,51 @@
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta content="IE=edge" http-equiv="X-UA-Compatible">
+    <meta content="width=device-width, initial-scale=1.0" name="viewport">
+    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/styles/atom-one-dark.min.css">
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/highlight.min.js"></script>
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/languages/yaml.min.js"></script>
+    <title>Source</title>
+    <script>hljs.highlightAll();</script>
+</head>
+
+<body style="background-color:darkgray; margin: 0 0 0 0;">
+    <pre style="margin: 0 1em;">
+        <code class="yaml">
+apiVersion: v1
+categories:
+- data-preparation
+- machine-learning
+- pytorch
+description: Generate audio file from text using different speakers
+doc: ''
+example: text_to_audio_generator.ipynb
+generationDate: 2023-12-03:15-30
+hidden: false
+icon: ''
+labels:
+  author: yonatans
+maintainers: []
+marketplaceType: ''
+mlrunVersion: 1.5.1
+name: text_to_audio_generator
+platformVersion: 3.5.3
+spec:
+  filename: text_to_audio_generator.py
+  handler: generate_multi_speakers_audio
+  image: mlrun/mlrun
+  kind: job
+  requirements:
+    - bark
+    - torchaudio
+url: ''
+version: 1.2.0
+test_valid: True
+
+        </code>
+    </pre>
+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/text_to_audio_generator/1.2.0/static/source.html b/functions/master/text_to_audio_generator/1.2.0/static/source.html
new file mode 100644
index 00000000..5ef177a1
--- /dev/null
+++ b/functions/master/text_to_audio_generator/1.2.0/static/source.html
@@ -0,0 +1,290 @@
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta content="IE=edge" http-equiv="X-UA-Compatible">
+    <meta content="width=device-width, initial-scale=1.0" name="viewport">
+    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/styles/atom-one-dark.min.css">
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/highlight.min.js"></script>
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/languages/python.min.js"></script>
+    <title>Source</title>
+    <script>hljs.highlightAll();</script>
+</head>
+
+<body style="background-color:darkgray; margin: 0 0 0 0;">
+    <pre style="margin: 0 1em;">
+        <code class="python">
+# Copyright 2023 Iguazio
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+import logging
+import pathlib
+import random
+import tempfile
+from typing import Dict, List, Optional, Tuple, Union
+
+import bark
+import numpy as np
+import pandas as pd
+import torch
+import torchaudio
+import tqdm
+
+# Get the global logger:
+_LOGGER = logging.getLogger()
+
+
+def generate_multi_speakers_audio(
+    data_path: str,
+    speakers: Union[List[str], Dict[str, int]],
+    available_voices: List[str],
+    output_directory: str = None,
+    use_gpu: bool = True,
+    use_small_models: bool = False,
+    offload_cpu: bool = False,
+    sample_rate: int = 16000,
+    file_format: str = "wav",
+    verbose: bool = True,
+    bits_per_sample: Optional[int] = None,
+) -> Tuple[str, pd.DataFrame, dict]:
+    """
+    Generate audio files from text files.
+
+    :param data_path:           Path to the text file or directory containing the text files to generate audio from.
+    :param speakers:            List / Dict of speakers to generate audio for.
+                                If a list is given, the speakers will be assigned to channels in the order given.
+                                If dictionary, the keys will be the speakers and the values will be the channels.
+    :param available_voices:    List of available voices to use for the generation.
+                        See here for the available voices:
+                        https://suno-ai.notion.site/8b8e8749ed514b0cbf3f699013548683?v=bc67cff786b04b50b3ceb756fd05f68c
+    :param output_directory:    Path to the directory to save the generated audio files to.
+    :param use_gpu:             Whether to use the GPU for the generation.
+    :param use_small_models:    Whether to use the small models for the generation.
+    :param offload_cpu:         To reduce the memory footprint, the models can be offloaded to the CPU after loading.
+    :param sample_rate:         The sampling rate of the generated audio.
+    :param file_format:         The format of the generated audio files.
+    :param verbose:             Whether to print the progress of the generation.
+    :param bits_per_sample:     Changes the bit depth for the supported formats.
+                                Supported only in "wav" or "flac" formats.
+
+    :returns:                   A tuple of:
+                                - The output directory path.
+                                - The generated audio files dataframe.
+                                - The errors dictionary.
+    """
+
+    global _LOGGER
+    _LOGGER = _get_logger()
+    # Get the input text files to turn to audio:
+    data_path = pathlib.Path(data_path).absolute()
+    text_files = _get_text_files(data_path=data_path)
+
+    # Load the bark models according to the given configurations:
+    bark.preload_models(
+        text_use_gpu=use_gpu,
+        text_use_small=use_small_models,
+        coarse_use_gpu=use_gpu,
+        coarse_use_small=use_small_models,
+        fine_use_gpu=use_gpu,
+        fine_use_small=use_small_models,
+        codec_use_gpu=use_gpu,
+        force_reload=offload_cpu,
+    )
+
+    # Check for per channel generation:
+    if isinstance(speakers, dict):
+        speaker_per_channel = True
+        # Sort the given speakers by channels:
+        speakers = {
+            speaker: channel
+            for speaker, channel in sorted(speakers.items(), key=lambda item: item[1])
+        }
+    else:
+        speaker_per_channel = False
+
+    # Prepare the resampling module:
+    resampler = torchaudio.transforms.Resample(
+        orig_freq=bark.SAMPLE_RATE, new_freq=sample_rate, dtype=torch.float32
+    )
+
+    # Prepare the gap between each speaker:
+    gap_between_speakers = np.zeros(int(0.5 * bark.SAMPLE_RATE))
+
+    # Prepare the successes dataframe and errors dictionary to be returned:
+    successes = []
+    errors = {}
+
+    # Create the output directory:
+    if output_directory is None:
+        output_directory = tempfile.mkdtemp()
+    output_directory = pathlib.Path(output_directory)
+    if not output_directory.exists():
+        output_directory.mkdir(exist_ok=True, parents=True)
+
+    # Start generating audio:
+    # Go over the audio files and transcribe:
+    for text_file in tqdm.tqdm(
+        text_files, desc="Generating", unit="file", disable=not verbose
+    ):
+
+        try:
+            # Randomize voices for each speaker:
+            chosen_voices = {}
+            available_voices_copy = available_voices.copy()
+            for speaker in speakers:
+                voice = random.choice(available_voices_copy)
+                chosen_voices[speaker] = voice
+                available_voices_copy.remove(voice)
+            # Read text:
+            with open(text_file, "r") as fp:
+                text = fp.read()
+            # Prepare a holder for all the generated pieces (if per channel each speaker will have its own):
+            audio_pieces = (
+                {speaker: [] for speaker in speakers}
+                if speaker_per_channel
+                else {"all": []}
+            )
+
+            # Generate audio per line:
+            for line in text.splitlines():
+                # Validate line is in correct speaker format:
+
+                if ": " not in line:
+                    if verbose:
+                        _LOGGER.warning(f"Skipping line: {line}")
+                    continue
+                # Split line to speaker and his words:
+                current_speaker, sentences = line.split(": ", 1)
+                # Validate speaker is known:
+                if current_speaker not in speakers:
+                    raise ValueError(
+                        f"Unknown speaker: {current_speaker}. Given speakers are: {speakers}"
+                    )
+                for sentence in _split_line(line=sentences):
+                    # Generate words audio:
+                    audio = bark.generate_audio(
+                        sentence,
+                        history_prompt=chosen_voices[current_speaker],
+                        silent=True,
+                    )
+                    if speaker_per_channel:
+                        silence = np.zeros_like(audio)
+                        for speaker in audio_pieces.keys():
+                            if speaker == current_speaker:
+                                audio_pieces[speaker] += [audio, gap_between_speakers]
+                            else:
+                                audio_pieces[speaker] += [silence, gap_between_speakers]
+                    else:
+                        audio_pieces["all"] += [audio, gap_between_speakers]
+            # Construct a single audio array from all the pieces and channels:
+
+            audio = np.vstack(
+                [np.concatenate(audio_pieces[speaker]) for speaker in speakers]
+            ).astype(dtype=np.float32)
+            # Resample:
+            audio = torch.from_numpy(audio)
+            audio = resampler(audio)
+            # Save to audio file:
+            audio_file = output_directory / f"{text_file.stem}.{file_format}"
+
+            torchaudio.save(
+                uri=str(audio_file),
+                src=audio,
+                sample_rate=sample_rate,
+                format=file_format,
+                bits_per_sample=bits_per_sample,
+            )
+
+            # Collect to the successes:
+            successes.append([text_file.name, audio_file.name])
+        except Exception as exception:
+            # Note the exception as error in the dictionary:
+            if verbose:
+                _LOGGER.warning(f"Error in file: '{text_file.name}'")
+            print(exception)
+            errors[text_file.name] = str(exception)
+
+    # Construct the translations dataframe:
+    successes = pd.DataFrame(
+        successes,
+        columns=["text_file", "audio_file"],
+    )
+
+    # Print the head of the produced dataframe and return:
+    if verbose:
+        _LOGGER.info(
+            f"Done ({successes.shape[0]}/{len(text_files)})\n"
+            f"Translations summary:\n"
+            f"{successes.head()}"
+        )
+    return str(output_directory), successes, errors
+
+
+def _get_text_files(
+    data_path: pathlib.Path,
+) -> List[pathlib.Path]:
+    # Check if the path is of a directory or a file:
+    if data_path.is_dir():
+        # Get all files inside the directory:
+        text_files = list(data_path.glob("*.*"))
+    elif data_path.is_file():
+        text_files = [data_path]
+    else:
+        raise ValueError(
+            f"Unrecognized data path. The parameter `data_path` must be either a directory path or a file path. "
+            f"Given: {str(data_path)} "
+        )
+
+    return text_files
+
+
+def _split_line(line: str, max_length: int = 250) -> List[str]:
+    if len(line) < max_length:
+        return [line]
+
+    sentences = [
+        f"{sentence.strip()}." for sentence in line.split(".") if sentence.strip()
+    ]
+
+    splits = []
+    current_length = len(sentences[0])
+    split = sentences[0]
+    for sentence in sentences[1:]:
+        if current_length + len(sentence) > max_length:
+            splits.append(split)
+            split = sentence
+            current_length = len(sentence)
+        else:
+            current_length += len(sentence)
+            split += " " + sentence
+    if split:
+        splits.append(split)
+
+    return splits
+
+
+def _get_logger():
+    global _LOGGER
+    try:
+        import mlrun
+        # Check if MLRun is available:
+        context = mlrun.get_or_create_ctx(name="mlrun")
+        return context.logger
+    except ModuleNotFoundError:
+        return _LOGGER
+
+        </code>
+    </pre>
+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/text_to_audio_generator/1.2.0/static/text_to_audio_generator.html b/functions/master/text_to_audio_generator/1.2.0/static/text_to_audio_generator.html
new file mode 100644
index 00000000..e79429a1
--- /dev/null
+++ b/functions/master/text_to_audio_generator/1.2.0/static/text_to_audio_generator.html
@@ -0,0 +1,408 @@
+
+<!DOCTYPE html>
+
+<html lang="en">
+<head>
+<meta charset="utf-8"/>
+<meta content="width=device-width, initial-scale=1.0" name="viewport"/>
+<title>text_to_audio_generator.text_to_audio_generator</title>
+<!-- Loaded before other Sphinx assets -->
+<link href="../../../_static/styles/theme.css?digest=1999514e3f237ded88cf" rel="stylesheet"/>
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+<link href="../../../_static/vendor/fontawesome/5.13.0/css/all.min.css" rel="stylesheet"/>
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+<h1>Source code for text_to_audio_generator.text_to_audio_generator</h1><div class="highlight"><pre>
+<span></span><span class="c1"># Copyright 2023 Iguazio</span>
+<span class="c1">#</span>
+<span class="c1"># Licensed under the Apache License, Version 2.0 (the "License");</span>
+<span class="c1"># you may not use this file except in compliance with the License.</span>
+<span class="c1"># You may obtain a copy of the License at</span>
+<span class="c1">#</span>
+<span class="c1">#   http://www.apache.org/licenses/LICENSE-2.0</span>
+<span class="c1">#</span>
+<span class="c1"># Unless required by applicable law or agreed to in writing, software</span>
+<span class="c1"># distributed under the License is distributed on an "AS IS" BASIS,</span>
+<span class="c1"># WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.</span>
+<span class="c1"># See the License for the specific language governing permissions and</span>
+<span class="c1"># limitations under the License.</span>
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">import</span> <span class="nn">pathlib</span>
+<span class="kn">import</span> <span class="nn">random</span>
+<span class="kn">import</span> <span class="nn">tempfile</span>
+<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Dict</span><span class="p">,</span> <span class="n">List</span><span class="p">,</span> <span class="n">Optional</span><span class="p">,</span> <span class="n">Tuple</span><span class="p">,</span> <span class="n">Union</span>
+
+<span class="kn">import</span> <span class="nn">bark</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="kn">import</span> <span class="nn">torch</span>
+<span class="kn">import</span> <span class="nn">torchaudio</span>
+<span class="kn">import</span> <span class="nn">tqdm</span>
+
+<span class="c1"># Get the global logger:</span>
+<span class="n">_LOGGER</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">()</span>
+
+
+<div class="viewcode-block" id="generate_multi_speakers_audio"><a class="viewcode-back" href="documentation.html#text_to_audio_generator.text_to_audio_generator.generate_multi_speakers_audio">[docs]</a><span class="k">def</span> <span class="nf">generate_multi_speakers_audio</span><span class="p">(</span>
+    <span class="n">data_path</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
+    <span class="n">speakers</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">],</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">int</span><span class="p">]],</span>
+    <span class="n">available_voices</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">],</span>
+    <span class="n">output_directory</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">use_gpu</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
+    <span class="n">use_small_models</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
+    <span class="n">offload_cpu</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
+    <span class="n">sample_rate</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">16000</span><span class="p">,</span>
+    <span class="n">file_format</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">"wav"</span><span class="p">,</span>
+    <span class="n">verbose</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
+    <span class="n">bits_per_sample</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">,</span> <span class="nb">dict</span><span class="p">]:</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    Generate audio files from text files.</span>
+
+<span class="sd">    :param data_path:           Path to the text file or directory containing the text files to generate audio from.</span>
+<span class="sd">    :param speakers:            List / Dict of speakers to generate audio for.</span>
+<span class="sd">                                If a list is given, the speakers will be assigned to channels in the order given.</span>
+<span class="sd">                                If dictionary, the keys will be the speakers and the values will be the channels.</span>
+<span class="sd">    :param available_voices:    List of available voices to use for the generation.</span>
+<span class="sd">                        See here for the available voices:</span>
+<span class="sd">                        https://suno-ai.notion.site/8b8e8749ed514b0cbf3f699013548683?v=bc67cff786b04b50b3ceb756fd05f68c</span>
+<span class="sd">    :param output_directory:    Path to the directory to save the generated audio files to.</span>
+<span class="sd">    :param use_gpu:             Whether to use the GPU for the generation.</span>
+<span class="sd">    :param use_small_models:    Whether to use the small models for the generation.</span>
+<span class="sd">    :param offload_cpu:         To reduce the memory footprint, the models can be offloaded to the CPU after loading.</span>
+<span class="sd">    :param sample_rate:         The sampling rate of the generated audio.</span>
+<span class="sd">    :param file_format:         The format of the generated audio files.</span>
+<span class="sd">    :param verbose:             Whether to print the progress of the generation.</span>
+<span class="sd">    :param bits_per_sample:     Changes the bit depth for the supported formats.</span>
+<span class="sd">                                Supported only in "wav" or "flac" formats.</span>
+
+<span class="sd">    :returns:                   A tuple of:</span>
+<span class="sd">                                - The output directory path.</span>
+<span class="sd">                                - The generated audio files dataframe.</span>
+<span class="sd">                                - The errors dictionary.</span>
+<span class="sd">    """</span>
+
+    <span class="k">global</span> <span class="n">_LOGGER</span>
+    <span class="n">_LOGGER</span> <span class="o">=</span> <span class="n">_get_logger</span><span class="p">()</span>
+    <span class="c1"># Get the input text files to turn to audio:</span>
+    <span class="n">data_path</span> <span class="o">=</span> <span class="n">pathlib</span><span class="o">.</span><span class="n">Path</span><span class="p">(</span><span class="n">data_path</span><span class="p">)</span><span class="o">.</span><span class="n">absolute</span><span class="p">()</span>
+    <span class="n">text_files</span> <span class="o">=</span> <span class="n">_get_text_files</span><span class="p">(</span><span class="n">data_path</span><span class="o">=</span><span class="n">data_path</span><span class="p">)</span>
+
+    <span class="c1"># Load the bark models according to the given configurations:</span>
+    <span class="n">bark</span><span class="o">.</span><span class="n">preload_models</span><span class="p">(</span>
+        <span class="n">text_use_gpu</span><span class="o">=</span><span class="n">use_gpu</span><span class="p">,</span>
+        <span class="n">text_use_small</span><span class="o">=</span><span class="n">use_small_models</span><span class="p">,</span>
+        <span class="n">coarse_use_gpu</span><span class="o">=</span><span class="n">use_gpu</span><span class="p">,</span>
+        <span class="n">coarse_use_small</span><span class="o">=</span><span class="n">use_small_models</span><span class="p">,</span>
+        <span class="n">fine_use_gpu</span><span class="o">=</span><span class="n">use_gpu</span><span class="p">,</span>
+        <span class="n">fine_use_small</span><span class="o">=</span><span class="n">use_small_models</span><span class="p">,</span>
+        <span class="n">codec_use_gpu</span><span class="o">=</span><span class="n">use_gpu</span><span class="p">,</span>
+        <span class="n">force_reload</span><span class="o">=</span><span class="n">offload_cpu</span><span class="p">,</span>
+    <span class="p">)</span>
+
+    <span class="c1"># Check for per channel generation:</span>
+    <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">speakers</span><span class="p">,</span> <span class="nb">dict</span><span class="p">):</span>
+        <span class="n">speaker_per_channel</span> <span class="o">=</span> <span class="kc">True</span>
+        <span class="c1"># Sort the given speakers by channels:</span>
+        <span class="n">speakers</span> <span class="o">=</span> <span class="p">{</span>
+            <span class="n">speaker</span><span class="p">:</span> <span class="n">channel</span>
+            <span class="k">for</span> <span class="n">speaker</span><span class="p">,</span> <span class="n">channel</span> <span class="ow">in</span> <span class="nb">sorted</span><span class="p">(</span><span class="n">speakers</span><span class="o">.</span><span class="n">items</span><span class="p">(),</span> <span class="n">key</span><span class="o">=</span><span class="k">lambda</span> <span class="n">item</span><span class="p">:</span> <span class="n">item</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
+        <span class="p">}</span>
+    <span class="k">else</span><span class="p">:</span>
+        <span class="n">speaker_per_channel</span> <span class="o">=</span> <span class="kc">False</span>
+
+    <span class="c1"># Prepare the resampling module:</span>
+    <span class="n">resampler</span> <span class="o">=</span> <span class="n">torchaudio</span><span class="o">.</span><span class="n">transforms</span><span class="o">.</span><span class="n">Resample</span><span class="p">(</span>
+        <span class="n">orig_freq</span><span class="o">=</span><span class="n">bark</span><span class="o">.</span><span class="n">SAMPLE_RATE</span><span class="p">,</span> <span class="n">new_freq</span><span class="o">=</span><span class="n">sample_rate</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">torch</span><span class="o">.</span><span class="n">float32</span>
+    <span class="p">)</span>
+
+    <span class="c1"># Prepare the gap between each speaker:</span>
+    <span class="n">gap_between_speakers</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span><span class="nb">int</span><span class="p">(</span><span class="mf">0.5</span> <span class="o">*</span> <span class="n">bark</span><span class="o">.</span><span class="n">SAMPLE_RATE</span><span class="p">))</span>
+
+    <span class="c1"># Prepare the successes dataframe and errors dictionary to be returned:</span>
+    <span class="n">successes</span> <span class="o">=</span> <span class="p">[]</span>
+    <span class="n">errors</span> <span class="o">=</span> <span class="p">{}</span>
+
+    <span class="c1"># Create the output directory:</span>
+    <span class="k">if</span> <span class="n">output_directory</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+        <span class="n">output_directory</span> <span class="o">=</span> <span class="n">tempfile</span><span class="o">.</span><span class="n">mkdtemp</span><span class="p">()</span>
+    <span class="n">output_directory</span> <span class="o">=</span> <span class="n">pathlib</span><span class="o">.</span><span class="n">Path</span><span class="p">(</span><span class="n">output_directory</span><span class="p">)</span>
+    <span class="k">if</span> <span class="ow">not</span> <span class="n">output_directory</span><span class="o">.</span><span class="n">exists</span><span class="p">():</span>
+        <span class="n">output_directory</span><span class="o">.</span><span class="n">mkdir</span><span class="p">(</span><span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">parents</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+    <span class="c1"># Start generating audio:</span>
+    <span class="c1"># Go over the audio files and transcribe:</span>
+    <span class="k">for</span> <span class="n">text_file</span> <span class="ow">in</span> <span class="n">tqdm</span><span class="o">.</span><span class="n">tqdm</span><span class="p">(</span>
+        <span class="n">text_files</span><span class="p">,</span> <span class="n">desc</span><span class="o">=</span><span class="s2">"Generating"</span><span class="p">,</span> <span class="n">unit</span><span class="o">=</span><span class="s2">"file"</span><span class="p">,</span> <span class="n">disable</span><span class="o">=</span><span class="ow">not</span> <span class="n">verbose</span>
+    <span class="p">):</span>
+
+        <span class="k">try</span><span class="p">:</span>
+            <span class="c1"># Randomize voices for each speaker:</span>
+            <span class="n">chosen_voices</span> <span class="o">=</span> <span class="p">{}</span>
+            <span class="n">available_voices_copy</span> <span class="o">=</span> <span class="n">available_voices</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
+            <span class="k">for</span> <span class="n">speaker</span> <span class="ow">in</span> <span class="n">speakers</span><span class="p">:</span>
+                <span class="n">voice</span> <span class="o">=</span> <span class="n">random</span><span class="o">.</span><span class="n">choice</span><span class="p">(</span><span class="n">available_voices_copy</span><span class="p">)</span>
+                <span class="n">chosen_voices</span><span class="p">[</span><span class="n">speaker</span><span class="p">]</span> <span class="o">=</span> <span class="n">voice</span>
+                <span class="n">available_voices_copy</span><span class="o">.</span><span class="n">remove</span><span class="p">(</span><span class="n">voice</span><span class="p">)</span>
+            <span class="c1"># Read text:</span>
+            <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">text_file</span><span class="p">,</span> <span class="s2">"r"</span><span class="p">)</span> <span class="k">as</span> <span class="n">fp</span><span class="p">:</span>
+                <span class="n">text</span> <span class="o">=</span> <span class="n">fp</span><span class="o">.</span><span class="n">read</span><span class="p">()</span>
+            <span class="c1"># Prepare a holder for all the generated pieces (if per channel each speaker will have its own):</span>
+            <span class="n">audio_pieces</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="p">{</span><span class="n">speaker</span><span class="p">:</span> <span class="p">[]</span> <span class="k">for</span> <span class="n">speaker</span> <span class="ow">in</span> <span class="n">speakers</span><span class="p">}</span>
+                <span class="k">if</span> <span class="n">speaker_per_channel</span>
+                <span class="k">else</span> <span class="p">{</span><span class="s2">"all"</span><span class="p">:</span> <span class="p">[]}</span>
+            <span class="p">)</span>
+
+            <span class="c1"># Generate audio per line:</span>
+            <span class="k">for</span> <span class="n">line</span> <span class="ow">in</span> <span class="n">text</span><span class="o">.</span><span class="n">splitlines</span><span class="p">():</span>
+                <span class="c1"># Validate line is in correct speaker format:</span>
+
+                <span class="k">if</span> <span class="s2">": "</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">line</span><span class="p">:</span>
+                    <span class="k">if</span> <span class="n">verbose</span><span class="p">:</span>
+                        <span class="n">_LOGGER</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Skipping line: </span><span class="si">{</span><span class="n">line</span><span class="si">}</span><span class="s2">"</span><span class="p">)</span>
+                    <span class="k">continue</span>
+                <span class="c1"># Split line to speaker and his words:</span>
+                <span class="n">current_speaker</span><span class="p">,</span> <span class="n">sentences</span> <span class="o">=</span> <span class="n">line</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">": "</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
+                <span class="c1"># Validate speaker is known:</span>
+                <span class="k">if</span> <span class="n">current_speaker</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">speakers</span><span class="p">:</span>
+                    <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span>
+                        <span class="sa">f</span><span class="s2">"Unknown speaker: </span><span class="si">{</span><span class="n">current_speaker</span><span class="si">}</span><span class="s2">. Given speakers are: </span><span class="si">{</span><span class="n">speakers</span><span class="si">}</span><span class="s2">"</span>
+                    <span class="p">)</span>
+                <span class="k">for</span> <span class="n">sentence</span> <span class="ow">in</span> <span class="n">_split_line</span><span class="p">(</span><span class="n">line</span><span class="o">=</span><span class="n">sentences</span><span class="p">):</span>
+                    <span class="c1"># Generate words audio:</span>
+                    <span class="n">audio</span> <span class="o">=</span> <span class="n">bark</span><span class="o">.</span><span class="n">generate_audio</span><span class="p">(</span>
+                        <span class="n">sentence</span><span class="p">,</span>
+                        <span class="n">history_prompt</span><span class="o">=</span><span class="n">chosen_voices</span><span class="p">[</span><span class="n">current_speaker</span><span class="p">],</span>
+                        <span class="n">silent</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+                    <span class="p">)</span>
+                    <span class="k">if</span> <span class="n">speaker_per_channel</span><span class="p">:</span>
+                        <span class="n">silence</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros_like</span><span class="p">(</span><span class="n">audio</span><span class="p">)</span>
+                        <span class="k">for</span> <span class="n">speaker</span> <span class="ow">in</span> <span class="n">audio_pieces</span><span class="o">.</span><span class="n">keys</span><span class="p">():</span>
+                            <span class="k">if</span> <span class="n">speaker</span> <span class="o">==</span> <span class="n">current_speaker</span><span class="p">:</span>
+                                <span class="n">audio_pieces</span><span class="p">[</span><span class="n">speaker</span><span class="p">]</span> <span class="o">+=</span> <span class="p">[</span><span class="n">audio</span><span class="p">,</span> <span class="n">gap_between_speakers</span><span class="p">]</span>
+                            <span class="k">else</span><span class="p">:</span>
+                                <span class="n">audio_pieces</span><span class="p">[</span><span class="n">speaker</span><span class="p">]</span> <span class="o">+=</span> <span class="p">[</span><span class="n">silence</span><span class="p">,</span> <span class="n">gap_between_speakers</span><span class="p">]</span>
+                    <span class="k">else</span><span class="p">:</span>
+                        <span class="n">audio_pieces</span><span class="p">[</span><span class="s2">"all"</span><span class="p">]</span> <span class="o">+=</span> <span class="p">[</span><span class="n">audio</span><span class="p">,</span> <span class="n">gap_between_speakers</span><span class="p">]</span>
+            <span class="c1"># Construct a single audio array from all the pieces and channels:</span>
+
+            <span class="n">audio</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">vstack</span><span class="p">(</span>
+                <span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">concatenate</span><span class="p">(</span><span class="n">audio_pieces</span><span class="p">[</span><span class="n">speaker</span><span class="p">])</span> <span class="k">for</span> <span class="n">speaker</span> <span class="ow">in</span> <span class="n">speakers</span><span class="p">]</span>
+            <span class="p">)</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span>
+            <span class="c1"># Resample:</span>
+            <span class="n">audio</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">from_numpy</span><span class="p">(</span><span class="n">audio</span><span class="p">)</span>
+            <span class="n">audio</span> <span class="o">=</span> <span class="n">resampler</span><span class="p">(</span><span class="n">audio</span><span class="p">)</span>
+            <span class="c1"># Save to audio file:</span>
+            <span class="n">audio_file</span> <span class="o">=</span> <span class="n">output_directory</span> <span class="o">/</span> <span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">text_file</span><span class="o">.</span><span class="n">stem</span><span class="si">}</span><span class="s2">.</span><span class="si">{</span><span class="n">file_format</span><span class="si">}</span><span class="s2">"</span>
+
+            <span class="n">torchaudio</span><span class="o">.</span><span class="n">save</span><span class="p">(</span>
+                <span class="n">uri</span><span class="o">=</span><span class="nb">str</span><span class="p">(</span><span class="n">audio_file</span><span class="p">),</span>
+                <span class="n">src</span><span class="o">=</span><span class="n">audio</span><span class="p">,</span>
+                <span class="n">sample_rate</span><span class="o">=</span><span class="n">sample_rate</span><span class="p">,</span>
+                <span class="nb">format</span><span class="o">=</span><span class="n">file_format</span><span class="p">,</span>
+                <span class="n">bits_per_sample</span><span class="o">=</span><span class="n">bits_per_sample</span><span class="p">,</span>
+            <span class="p">)</span>
+
+            <span class="c1"># Collect to the successes:</span>
+            <span class="n">successes</span><span class="o">.</span><span class="n">append</span><span class="p">([</span><span class="n">text_file</span><span class="o">.</span><span class="n">name</span><span class="p">,</span> <span class="n">audio_file</span><span class="o">.</span><span class="n">name</span><span class="p">])</span>
+        <span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">exception</span><span class="p">:</span>
+            <span class="c1"># Note the exception as error in the dictionary:</span>
+            <span class="k">if</span> <span class="n">verbose</span><span class="p">:</span>
+                <span class="n">_LOGGER</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Error in file: '</span><span class="si">{</span><span class="n">text_file</span><span class="o">.</span><span class="n">name</span><span class="si">}</span><span class="s2">'"</span><span class="p">)</span>
+            <span class="nb">print</span><span class="p">(</span><span class="n">exception</span><span class="p">)</span>
+            <span class="n">errors</span><span class="p">[</span><span class="n">text_file</span><span class="o">.</span><span class="n">name</span><span class="p">]</span> <span class="o">=</span> <span class="nb">str</span><span class="p">(</span><span class="n">exception</span><span class="p">)</span>
+
+    <span class="c1"># Construct the translations dataframe:</span>
+    <span class="n">successes</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span>
+        <span class="n">successes</span><span class="p">,</span>
+        <span class="n">columns</span><span class="o">=</span><span class="p">[</span><span class="s2">"text_file"</span><span class="p">,</span> <span class="s2">"audio_file"</span><span class="p">],</span>
+    <span class="p">)</span>
+
+    <span class="c1"># Print the head of the produced dataframe and return:</span>
+    <span class="k">if</span> <span class="n">verbose</span><span class="p">:</span>
+        <span class="n">_LOGGER</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+            <span class="sa">f</span><span class="s2">"Done (</span><span class="si">{</span><span class="n">successes</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="si">}</span><span class="s2">/</span><span class="si">{</span><span class="nb">len</span><span class="p">(</span><span class="n">text_files</span><span class="p">)</span><span class="si">}</span><span class="s2">)</span><span class="se">\n</span><span class="s2">"</span>
+            <span class="sa">f</span><span class="s2">"Translations summary:</span><span class="se">\n</span><span class="s2">"</span>
+            <span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">successes</span><span class="o">.</span><span class="n">head</span><span class="p">()</span><span class="si">}</span><span class="s2">"</span>
+        <span class="p">)</span>
+    <span class="k">return</span> <span class="nb">str</span><span class="p">(</span><span class="n">output_directory</span><span class="p">),</span> <span class="n">successes</span><span class="p">,</span> <span class="n">errors</span></div>
+
+
+<span class="k">def</span> <span class="nf">_get_text_files</span><span class="p">(</span>
+    <span class="n">data_path</span><span class="p">:</span> <span class="n">pathlib</span><span class="o">.</span><span class="n">Path</span><span class="p">,</span>
+<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="n">pathlib</span><span class="o">.</span><span class="n">Path</span><span class="p">]:</span>
+    <span class="c1"># Check if the path is of a directory or a file:</span>
+    <span class="k">if</span> <span class="n">data_path</span><span class="o">.</span><span class="n">is_dir</span><span class="p">():</span>
+        <span class="c1"># Get all files inside the directory:</span>
+        <span class="n">text_files</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">data_path</span><span class="o">.</span><span class="n">glob</span><span class="p">(</span><span class="s2">"*.*"</span><span class="p">))</span>
+    <span class="k">elif</span> <span class="n">data_path</span><span class="o">.</span><span class="n">is_file</span><span class="p">():</span>
+        <span class="n">text_files</span> <span class="o">=</span> <span class="p">[</span><span class="n">data_path</span><span class="p">]</span>
+    <span class="k">else</span><span class="p">:</span>
+        <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span>
+            <span class="sa">f</span><span class="s2">"Unrecognized data path. The parameter `data_path` must be either a directory path or a file path. "</span>
+            <span class="sa">f</span><span class="s2">"Given: </span><span class="si">{</span><span class="nb">str</span><span class="p">(</span><span class="n">data_path</span><span class="p">)</span><span class="si">}</span><span class="s2"> "</span>
+        <span class="p">)</span>
+
+    <span class="k">return</span> <span class="n">text_files</span>
+
+
+<span class="k">def</span> <span class="nf">_split_line</span><span class="p">(</span><span class="n">line</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">max_length</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">250</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">]:</span>
+    <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">line</span><span class="p">)</span> <span class="o">&lt;</span> <span class="n">max_length</span><span class="p">:</span>
+        <span class="k">return</span> <span class="p">[</span><span class="n">line</span><span class="p">]</span>
+
+    <span class="n">sentences</span> <span class="o">=</span> <span class="p">[</span>
+        <span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">sentence</span><span class="o">.</span><span class="n">strip</span><span class="p">()</span><span class="si">}</span><span class="s2">."</span> <span class="k">for</span> <span class="n">sentence</span> <span class="ow">in</span> <span class="n">line</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"."</span><span class="p">)</span> <span class="k">if</span> <span class="n">sentence</span><span class="o">.</span><span class="n">strip</span><span class="p">()</span>
+    <span class="p">]</span>
+
+    <span class="n">splits</span> <span class="o">=</span> <span class="p">[]</span>
+    <span class="n">current_length</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">sentences</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
+    <span class="n">split</span> <span class="o">=</span> <span class="n">sentences</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
+    <span class="k">for</span> <span class="n">sentence</span> <span class="ow">in</span> <span class="n">sentences</span><span class="p">[</span><span class="mi">1</span><span class="p">:]:</span>
+        <span class="k">if</span> <span class="n">current_length</span> <span class="o">+</span> <span class="nb">len</span><span class="p">(</span><span class="n">sentence</span><span class="p">)</span> <span class="o">&gt;</span> <span class="n">max_length</span><span class="p">:</span>
+            <span class="n">splits</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">split</span><span class="p">)</span>
+            <span class="n">split</span> <span class="o">=</span> <span class="n">sentence</span>
+            <span class="n">current_length</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">sentence</span><span class="p">)</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">current_length</span> <span class="o">+=</span> <span class="nb">len</span><span class="p">(</span><span class="n">sentence</span><span class="p">)</span>
+            <span class="n">split</span> <span class="o">+=</span> <span class="s2">" "</span> <span class="o">+</span> <span class="n">sentence</span>
+    <span class="k">if</span> <span class="n">split</span><span class="p">:</span>
+        <span class="n">splits</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">split</span><span class="p">)</span>
+
+    <span class="k">return</span> <span class="n">splits</span>
+
+
+<span class="k">def</span> <span class="nf">_get_logger</span><span class="p">():</span>
+    <span class="k">global</span> <span class="n">_LOGGER</span>
+    <span class="k">try</span><span class="p">:</span>
+        <span class="kn">import</span> <span class="nn">mlrun</span>
+        <span class="c1"># Check if MLRun is available:</span>
+        <span class="n">context</span> <span class="o">=</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">get_or_create_ctx</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s2">"mlrun"</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">context</span><span class="o">.</span><span class="n">logger</span>
+    <span class="k">except</span> <span class="ne">ModuleNotFoundError</span><span class="p">:</span>
+        <span class="k">return</span> <span class="n">_LOGGER</span>
+</pre></div>
+</div>
+</main>
+<footer class="footer-article noprint">
+<!-- Previous / next buttons -->
+<div class="prev-next-area">
+</div>
+</footer>
+</div>
+</div>
+<div class="footer-content row">
+<footer class="col footer"><p>
+  
+      © Copyright .<br/>
+</p>
+</footer>
+</div>
+</div>
+</div>
+</div>
+<!-- Scripts loaded after <body> so the DOM is not blocked -->
+<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf"></script>
+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/text_to_audio_generator/latest/src/function.yaml b/functions/master/text_to_audio_generator/latest/src/function.yaml
index df142d2e..88ef9cb8 100644
--- a/functions/master/text_to_audio_generator/latest/src/function.yaml
+++ b/functions/master/text_to_audio_generator/latest/src/function.yaml
@@ -2,13 +2,14 @@ kind: job
 metadata:
   name: text-to-audio-generator
   tag: ''
-  hash: 534e34d316098dcb345860a786ea013102150e67
+  hash: 89fcaf3fab53e7b7fbba448a5e65c253d7fa66ed
   project: ''
   labels:
     author: yonatans
   categories:
   - data-preparation
   - machine-learning
+  - pytorch
 spec:
   command: ''
   args: []
diff --git a/functions/master/text_to_audio_generator/latest/src/item.yaml b/functions/master/text_to_audio_generator/latest/src/item.yaml
index 4784a80d..efa8afc9 100644
--- a/functions/master/text_to_audio_generator/latest/src/item.yaml
+++ b/functions/master/text_to_audio_generator/latest/src/item.yaml
@@ -2,6 +2,7 @@ apiVersion: v1
 categories:
 - data-preparation
 - machine-learning
+- pytorch
 description: Generate audio file from text using different speakers
 doc: ''
 example: text_to_audio_generator.ipynb
@@ -24,5 +25,5 @@ spec:
     - bark
     - torchaudio
 url: ''
-version: 1.1.0
+version: 1.2.0
 test_valid: True
diff --git a/functions/master/text_to_audio_generator/latest/static/function.html b/functions/master/text_to_audio_generator/latest/static/function.html
index b50784f8..5ed19c22 100644
--- a/functions/master/text_to_audio_generator/latest/static/function.html
+++ b/functions/master/text_to_audio_generator/latest/static/function.html
@@ -19,13 +19,14 @@
 metadata:
   name: text-to-audio-generator
   tag: ''
-  hash: 534e34d316098dcb345860a786ea013102150e67
+  hash: 89fcaf3fab53e7b7fbba448a5e65c253d7fa66ed
   project: ''
   labels:
     author: yonatans
   categories:
   - data-preparation
   - machine-learning
+  - pytorch
 spec:
   command: ''
   args: []
diff --git a/functions/master/text_to_audio_generator/latest/static/item.html b/functions/master/text_to_audio_generator/latest/static/item.html
index d82f688a..282a8a3a 100644
--- a/functions/master/text_to_audio_generator/latest/static/item.html
+++ b/functions/master/text_to_audio_generator/latest/static/item.html
@@ -19,6 +19,7 @@
 categories:
 - data-preparation
 - machine-learning
+- pytorch
 description: Generate audio file from text using different speakers
 doc: ''
 example: text_to_audio_generator.ipynb
@@ -41,7 +42,7 @@
     - bark
     - torchaudio
 url: ''
-version: 1.1.0
+version: 1.2.0
 test_valid: True
 
         </code>
diff --git a/functions/master/transcribe/1.1.0/src/data/error_file.txt b/functions/master/transcribe/1.1.0/src/data/error_file.txt
new file mode 100644
index 00000000..e69de29b
diff --git a/functions/master/transcribe/1.1.0/src/data/speech_01.mp3 b/functions/master/transcribe/1.1.0/src/data/speech_01.mp3
new file mode 100644
index 00000000..ae0e5c82
Binary files /dev/null and b/functions/master/transcribe/1.1.0/src/data/speech_01.mp3 differ
diff --git a/functions/master/transcribe/1.1.0/src/data/speech_02.mp3 b/functions/master/transcribe/1.1.0/src/data/speech_02.mp3
new file mode 100644
index 00000000..1d5e6c03
Binary files /dev/null and b/functions/master/transcribe/1.1.0/src/data/speech_02.mp3 differ
diff --git a/functions/master/transcribe/1.1.0/src/function.yaml b/functions/master/transcribe/1.1.0/src/function.yaml
new file mode 100644
index 00000000..d72751ad
--- /dev/null
+++ b/functions/master/transcribe/1.1.0/src/function.yaml
@@ -0,0 +1,311 @@
+kind: job
+metadata:
+  name: transcribe
+  tag: ''
+  hash: 8810ac74045bd15cee15a2e4e89563e8e29908d3
+  project: ''
+  labels:
+    author: yonatans
+  categories:
+  - data-preparation
+  - genai
+  - huggingface
+  - machine-learning
+spec:
+  command: ''
+  args: []
+  image: ''
+  build:
+    functionSourceCode: # Copyright 2024 Iguazio
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import logging
import operator
import os
import tempfile
from functools import reduce, wraps
from multiprocessing import Process, Queue
from pathlib import Path
from typing import Any, Dict, Generator, List, Literal, NamedTuple, Tuple, Union

import pandas as pd
import torch
import torchaudio
from tqdm import tqdm
from transformers import (
    AutomaticSpeechRecognitionPipeline,
    AutoModelForCausalLM,
    pipeline,
)
from transformers.utils import is_flash_attn_2_available


class BaseTask:
    """
    A task to write the transcription to file.
    """

    def __init__(
        self, audio_file: Path, transcription_output: Union[dict, str], text_file: Path
    ):
        """
        Initialize the task.

        :param audio_file:           Path to the audio file that was transcribed.
        :param transcription_output: The transcription output from the pipeline. String means an exception was raised.
        :param text_file:            Path to the text file to write the transcription to.
        """
        # Store the parameters:
        self._audio_file = audio_file
        self._transcription_output = transcription_output
        self._text_file = text_file

        # Prepare the error variable:
        self._error: str = None

    def do_task(self):
        """
        Try to perform the task storing an error if occurred.
        """
        if isinstance(self._transcription_output, str):
            self._error = self._transcription_output
            return
        try:
            self._do_task()
        except Exception as exception:
            self._error = str(exception)

    def is_failed(self) -> bool:
        """
        Check if the task failed.

        :returns: Whether the task failed.
        """
        return self._error is not None

    def get_result(self) -> Tuple[str, str]:
        """
        Get the result of the task. If the task failed, the error will be returned, otherwise, the result will be the
        text file name.

        :returns: The task's result.
        """
        if self.is_failed():
            return self._audio_file.name, self._error
        return self._audio_file.name, self._text_file.name

    def to_tuple(self) -> Tuple[str, dict]:
        """
        Convert the task to a tuple to reconstruct it later (used for multiprocessing to pass in queue).

        :returns: The converted task.
        """
        return self.__class__.__name__, {
            "audio_file": self._audio_file,
            "transcription_output": self._transcription_output,
            "text_file": self._text_file,
        }

    def _do_task(self):
        """
        Perform the task - write the transcription to the stored file path.
        """
        # Checking for no duplications:
        i = 1
        while self._text_file.exists():
            i += 1
            self._text_file = (
                self._text_file.parent
                / f"{self._text_file.stem.rsplit('_', 1)[0]}_{i}{self._text_file.suffix}"
            )

        # Make sure all directories are created:
        self._text_file.parent.mkdir(exist_ok=True, parents=True)

        # Write to file:
        with open(self._text_file, "w") as fp:
            fp.write(self._transcription_output["text"])


class SpeechDiarizationTask(BaseTask):
    """
    A task to write the transcription to file with respect to a given speech diarization.
    """

    class _DiarizationSegment(NamedTuple):
        """
        A speech diarization segment.
        """

        start: float
        end: float
        speaker: str

    class _WordTimestamp(NamedTuple):
        """
        A word with its start and end timestamps.
        """

        start: float
        end: float
        text: str

    def __init__(
        self,
        audio_file: Path,
        transcription_output: dict,
        text_file: Path,
        speech_diarization: List[Tuple[float, float, str]],
    ):
        """
        Initialize the task.

        :param audio_file:           Path to the audio file that was transcribed.
        :param transcription_output: The transcription output from the pipeline.
        :param text_file:            Path to the text file to write the transcription to.
        :param speech_diarization:   A speech diarization as a list of tuples: (start, end, speaker).
        """
        super().__init__(
            audio_file=audio_file,
            transcription_output=transcription_output,
            text_file=text_file,
        )
        self._speech_diarization = speech_diarization
        self._segments: List[SpeechDiarizationTask._DiarizationSegment] = None
        self._last_chosen_index = 0

    def to_tuple(self) -> Tuple[str, dict]:
        """
        Convert the task to a tuple to reconstruct it later (used for multiprocessing to pass in queue).

        :returns: The converted task.
        """
        task_class, task_kwargs = super().to_tuple()
        return task_class, {
            **task_kwargs,
            "speech_diarization": self._speech_diarization,
        }

    def _do_task(self):
        """
        Perform the task - write the transcription to the stored file path with respect to the given speech diarization.
        """
        # Check if a speech diarization is given, if not, just write the transcription to file:
        if not self._speech_diarization:
            super()._do_task()
            return

        # Cast the chunks to word timestamps tuples:
        words = [
            SpeechDiarizationTask._WordTimestamp(
                start=chunk["timestamp"][0],
                end=chunk["timestamp"][1],
                text=chunk["text"],
            )
            for chunk in self._transcription_output["chunks"]
        ]

        # Cast speech diarization to segments tuples:
        self._segments = [
            SpeechDiarizationTask._DiarizationSegment(*segment)
            for segment in self._speech_diarization
        ]

        # Try to match the Whisper model predicted timestamps to the closest diarization segment (closest diarization
        # segment will be the most overlapping with the word, and if there is no overlap, the closest segment to the
        # word):
        speaker = self._segments[self._last_chosen_index].speaker
        text = f"{speaker}:"
        for word in words:
            # Get the next diarization segment:
            self._get_next_segment(word=word)
            # Check if the segment is of the same speaker:
            if self._segments[self._last_chosen_index].speaker == speaker:
                # Collect the word:
                text += word.text
            else:
                # Append a newline and update the new speaker:
                speaker = self._segments[self._last_chosen_index].speaker
                text += f"\n{speaker}:{word.text}"

        # Update the transcription output with the new text to write it to file:
        self._transcription_output["text"] = text
        super()._do_task()

    def _get_next_segment(
        self,
        word: _WordTimestamp,
    ):
        """
        Get the next diarization segment the given word falls into. The `self._last_chosen_index` will be updated
        accordingly.

        :param word: The word timestamp to match to the next segment.
        """
        # If the last chosen segment is the last segment, return it:
        if self._last_chosen_index == len(self._segments) - 1:
            return

        # Get the last chosen diarization segment:
        last_chosen = self._segments[self._last_chosen_index]

        # None value may appear if the word is the last word in the audio file, or it was split during inference. In
        # that case, we'll set the last segment:
        if word.end is None:
            self._last_chosen_index = len(self._segments) - 1
            return

        # If the word ends before the last chosen segment:
        if word.end <= last_chosen.start:
            # Then it is still the closest segment
            return

        # We check if it ends inside the last chosen segment:
        if word.end < last_chosen.end:
            # Then it still is the closest segment
            return

        # The word ends after the segment, we need to collect all next segments up until the word ends before them:
        possible_segments = [self._last_chosen_index]
        for i in range(self._last_chosen_index + 1, len(self._segments)):
            if word.end > self._segments[i].end:
                possible_segments.append(i)
                continue
            possible_segments.append(i)
            break

        # Check for the most overlapping option:
        best_overlap = 0
        most_overlapping_segment_index = None
        for i in possible_segments:
            # If the word starts before segment:
            if word.start <= self._segments[i].start:
                # If it ends before the segment, there is an overlap from the start of the segment to the end of the
                # word:
                if word.end < self._segments[i].end:
                    overlap = word.end - self._segments[i].start
                else:
                    # The word is wrapping the segment, the overlap is the segment's length:
                    overlap = self._segments[i].end - self._segments[i].start
            # The word starts in segment, check if the word ends in it:
            elif word.end < self._segments[i].end:
                # The overlap is the word's length:
                overlap = word.end - word.start
            # The word start in segment but ends after it, the overlap is from the word's start to the segment's end:
            else:
                overlap = self._segments[i].end - word.start
            # Check for new best overlap:
            if overlap > best_overlap:
                best_overlap = overlap
                most_overlapping_segment_index = i
        if most_overlapping_segment_index is not None:
            self._last_chosen_index = most_overlapping_segment_index
            return

        # If there is no overlapping segment, return the closest segment:
        best_distance = None
        closest_segment_index = None
        for i in possible_segments:
            distance = (
                word.start - self._segments[i].end
                if word.start > self._segments[i].end
                else self._segments[i].start - word.end
            )
            if best_distance is None or distance < best_distance:
                best_distance = distance
                closest_segment_index = i
        self._last_chosen_index = closest_segment_index


class SpeechDiarizationPerChannelTask(BaseTask):
    """
    A task to write the transcription to file with respect to a given speech diarization per channel.
    """

    class _WordTimestamp(NamedTuple):
        """
        A word with its start and end timestamps and speaker label (channel the word was taken from).
        """

        start: float
        end: float
        speaker: str
        text: str

    def __init__(self, audio_file: Path, text_file: Path):
        """
        Initialize the task.

        :param audio_file: Path to the audio file that was transcribed.
        :param text_file:  Path to the text file to write the transcription to.
        """
        super().__init__(
            audio_file=audio_file, transcription_output={}, text_file=text_file
        )
        self._transcription_output_channels: List[Tuple[str, dict]] = []

    @property
    def transcription_output_channels(self) -> List[Tuple[str, dict]]:
        """
        Get the transcription output channels.

        :returns: The transcription output channels.
        """
        return self._transcription_output_channels

    def do_task(self):
        """
        Try to perform the task storing an error if occurred.
        """
        for _, channel_output in self._transcription_output_channels:
            if isinstance(channel_output, str):
                self._error = self._transcription_output_channels
                return
        super().do_task()

    def to_tuple(self) -> Tuple[str, dict]:
        """
        Convert the task to a tuple to reconstruct it later (used for multiprocessing to pass in queue).

        :returns: The converted task.
        """
        task_class, task_kwargs = super().to_tuple()
        task_kwargs.pop("transcription_output")
        return task_class, task_kwargs

    def _do_task(self):
        """
        Perform the task - write the transcription to the stored file path with respect to the given speech diarization
        per channel.
        """
        # Cast the chunks to word timestamps tuples:
        words_per_channel = [
            [
                SpeechDiarizationPerChannelTask._WordTimestamp(
                    start=chunk["timestamp"][0],
                    end=chunk["timestamp"][1],
                    speaker=speaker,
                    text=chunk["text"],
                )
                for chunk in output["chunks"]
            ]
            for speaker, output in self._transcription_output_channels
        ]

        # Merge and sort the words per channel by their start time:
        words = operator.add(*words_per_channel)
        words.sort()

        # Write the transcription to file:
        current_speaker = words[0].speaker
        text = f"{current_speaker}:"
        for word in words:
            # Check if the word's speaker is different from the current one:
            if word.speaker != current_speaker:
                # Append a newline and update the new speaker:
                current_speaker = word.speaker
                text += f"\n{current_speaker}:"
            # Collect the word:
            text += word.text

        # Update the transcription output with the new text to write it to file:
        self._transcription_output["text"] = text
        super()._do_task()


class BatchProcessor:
    """
    A batch processor to process batches of transcriptions. The batch processor is creating tasks and is aimed to be
    working along the transcriber. It can be used with multiprocessing queue or run the tasks directly using the
    associated methods.
    """

    def __init__(self, audio_files: List[Path], output_directory: Path):
        """
        Initialize the batch processor.

        :param audio_files:      The list of all audio files to transcribe.
        :param output_directory: The output directory to write the transcriptions to.
        """
        # Store the parameters:
        self._audio_files = audio_files
        self._output_directory = output_directory

        # Prepare the batching variables:
        self._current_file_index = 0
        self._tasks: List[BaseTask] = []
        self._results: List[Tuple[bool, Tuple[str, str]]] = []

    def process_batch(self, batch: List[Union[dict, str]]):
        """
        Process a batch of transcriptions. Tasks related to the given batch will be created and stored in the batch
        processor.

        :param batch: The batch of transcriptions to process.
        """
        # Get the relevant files belongs to the given batch:
        current_files = self._get_current_files(batch_size=len(batch))

        # Build the diarization tasks:
        self._tasks.extend(
            [
                BaseTask(
                    audio_file=file,
                    transcription_output=batch[i],
                    text_file=self._output_directory / f"{file.stem}.txt",
                )
                for i, file in enumerate(current_files)
            ]
        )

    def get_tasks(self) -> List[BaseTask]:
        """
        Get the tasks to perform.

        :returns: The tasks to perform.
        """
        tasks = self._tasks
        self._tasks = []
        return tasks

    def do_tasks(self):
        """
        Perform the tasks. Should be used if no multiprocessing queue is given to a transcriber.
        """
        for task in self.get_tasks():
            task.do_task()
            self._results.append((task.is_failed(), task.get_result()))

    def get_results(self) -> List[Tuple[bool, Tuple[str, str]]]:
        """
        Get the results of the tasks. The stored results are then cleared.

        :returns: The results of the tasks.
        """
        results = self._results
        self._results = []
        return results

    def _get_current_files(self, batch_size: int) -> List[Path]:
        """
        Get the current files to process.

        :param batch_size: The batch size to progress the current file index.

        :returns: The current files to process.
        """
        end_index = (
            self._current_file_index + batch_size
            if self._current_file_index + batch_size < len(self._audio_files)
            else len(self._audio_files)
        )
        current_files = self._audio_files[self._current_file_index : end_index]
        self._current_file_index = end_index
        return current_files


class SpeechDiarizationBatchProcessor(BatchProcessor):
    """
    A batch processor to process batches of transcriptions with respect to a given speech diarization. The batch
    processor is creating tasks and is aimed to be working along the transcriber. It can be used with multiprocessing
    queue or run the tasks directly using the associated methods.
    """

    def __init__(
        self, audio_files: List[Path], output_directory: Path, speech_diarization: dict
    ):
        """
        Initialize the batch processor.

        :param audio_files:        The list of all audio files to transcribe.
        :param output_directory:   The output directory to write the transcriptions to.
        :param speech_diarization: A speech diarization dictionary to pass along with each processed batch.
        """
        super().__init__(audio_files=audio_files, output_directory=output_directory)
        self._speech_diarization = speech_diarization
        self._audio_files = audio_files

    def process_batch(self, batch: List[dict]):
        """
        Process a batch of transcriptions. Tasks related to the given batch will be created and stored in the batch
        processor.

        :param batch: The batch of transcriptions to process.
        """
        # Get the relevant files belongs to the given batch:
        current_files = self._get_current_files(batch_size=len(batch))

        # Build the diarization tasks:
        self._tasks.extend(
            [
                SpeechDiarizationTask(
                    audio_file=file,
                    transcription_output=batch[i],
                    text_file=self._output_directory / f"{file.stem}.txt",
                    speech_diarization=self._speech_diarization.get(file.name),
                )
                for i, file in enumerate(current_files)
            ]
        )


class PerChannelSpeechDiarizationBatchProcessor(BatchProcessor):
    """
    A batch processor to process batches of transcriptions per channel. The batch processor is creating tasks with the
    selected amount of channels given and is aimed to be working along the transcriber. It can be used with
    multiprocessing queue or run the tasks directly using the associated methods.
    """

    def __init__(
        self,
        audio_files: List[Path],
        output_directory: Path,
        n_channels: int,
        speakers: List[str],
    ):
        """
        Initialize the batch processor.

        :param audio_files:      The list of all audio files to transcribe.
        :param output_directory: The output directory to write the transcriptions to.
        :param n_channels:       The number of channels in each audio file to transcribe.
        :param speakers:         The speakers labels to use for each channel.
        """
        super().__init__(audio_files=audio_files, output_directory=output_directory)

        # Store the parameters:
        self._n_channels = n_channels
        self._speakers = speakers

        # Prepare a channel buffer to store the channels until the current task created is fully covered:
        self._task_in_process: SpeechDiarizationPerChannelTask = None

    def process_batch(self, batch: List[dict]):
        """
        Process a batch of transcriptions. Tasks related to the given batch will be created and stored in the batch
        processor.

        :param batch: The batch of transcriptions to process.
        """
        # Go over the batch and create the tasks:
        for output in batch:
            # Check if there is a task in process:
            if not self._task_in_process:
                # Create a new task:
                self._task_in_process = SpeechDiarizationPerChannelTask(
                    audio_file=self._audio_files[self._current_file_index],
                    text_file=self._output_directory
                    / f"{self._audio_files[self._current_file_index].stem}.txt",
                )
            # Get the channel's speaker:
            speaker = self._speakers[
                len(self._task_in_process.transcription_output_channels)
            ]
            # Collect the channel into the processed task:
            self._task_in_process.transcription_output_channels.append(
                (speaker, output)
            )
            # Check if the task is fully covered (all channels are collected):
            if (
                len(self._task_in_process.transcription_output_channels)
                == self._n_channels
            ):
                # Collect the task and reset the task in process:
                self._tasks.append(self._task_in_process)
                self._current_file_index += 1
                self._task_in_process = None


class Transcriber:
    """
    A transcription wrapper for the Huggingface's ASR pipeline -
    https://huggingface.co/transformers/main_classes/pipelines.html#transformers.AutomaticSpeechRecognitionPipeline to
    use with OpenAI's Whisper models - https://huggingface.co/openai.
    """

    def __init__(
        self,
        model_name: str,
        device: str = None,
        use_flash_attention_2: bool = None,
        use_better_transformers: bool = None,
        assistant_model: str = None,
        max_new_tokens: int = 128,
        chunk_length_s: int = 30,
        batch_size: int = 2,
        spoken_language: str = None,
        translate_to_english: bool = False,
        return_timestamps: Union[bool, Literal["word"]] = False,
        per_channel_transcription: int = 0,
    ):
        """
        Initialize the transcriber.

        :param model_name:                The model name to use. Should be a model from the OpenAI's Whisper models for
                                          best results (for example "tiny", "base", "large", etc.).
        :param device:                    The device to use for inference. If not given, will use GPU if available.
        :param use_flash_attention_2:     Whether to use the Flash Attention 2 implementation. It can be used only with
                                          one of the following GPUs: Nvidia H series and Nvidia A series. T4 support
                                          will be available soon.

                                          Note: If both `use_flash_attention_2` and
                                          `use_better_transformers` are `None`, the optimization will be chosen
                                          automatically according to the available resources.

        :param use_better_transformers:   Whether to use the Better Transformers library to further optimize the model.
                                          Should be used for all use cases that do not support flash attention 2.

                                          Note: If both `use_flash_attention_2` and `use_better_transformers` are
                                          `None`, the optimization will be chosen automatically according to the
                                          available resources.
       :param assistant_model:           The assistant model name to use for inference. Notice that the optimizations
                                          (flash attention 2 and better transformers) will be applied for the assistant
                                          as well. Should be a model from Huggingface's distil-whisper (see here for
                                          more information: https://github.com/huggingface/distil-whisper).
        :param max_new_tokens:            The maximum number of new tokens to generate. This is used to limit the
                                          generation length. Default is 128 tokens.
        :param chunk_length_s:            The audio chunk to split the audio to (in seconds). Default is 30 seconds.
        :param batch_size:                The batch size to use for inference. Default is 2.
        :param spoken_language:           Aim whisper to know what language is spoken. If None, it will try to detect it
                                          for each chunk.
        :param translate_to_english:      Whether to translate the transcriptions to English. Default is False.
        :param return_timestamps:         Whether to return the timestamps of the words. If "word", will return the
                                          timestamps of each word. If True will return the timestamps of each chunk.
                                          Default is False. Aimed to be used for speech diarization.
        :param per_channel_transcription: Whether to do per channel transcription. If needed to run per channel
                                          transcription, pass the number of channels expected for each audio file here.
                                          0 means regular transcription (merge channels).

                                          Note: If `per_channel_transcription` is not 0, `batch_size` must be treated to
                                          be the number of channels and not audio files. Aimed to be used for per
                                          channel speech diarization.
        """
        # Store loading parameters:
        self._model_name = model_name
        self._device = device
        self._use_flash_attention_2 = use_flash_attention_2
        self._use_better_transformers = use_better_transformers
        self._max_new_tokens = max_new_tokens
        self._chunk_length_s = chunk_length_s
        self._batch_size = batch_size
        self._return_timestamps = return_timestamps
        self._per_channel_transcription = per_channel_transcription

        # Store generation parameters:
        self._assistant_model = assistant_model
        self._spoken_language = spoken_language
        self._translate_to_english = translate_to_english

        # Prepare the transcription objects:
        self._transcription_pipeline: AutomaticSpeechRecognitionPipeline = None
        self._generate_kwargs: dict = None

    def load(self):
        """
        Load the transcriber. Must be called before transcribing.
        """
        # Set the device and data type to use (prefer GPU if available):
        device = torch.device(
            self._device or "cuda" if torch.cuda.is_available() else "cpu"
        )
        torch_dtype = torch.float16 if device.type == "cuda" else torch.float32

        # Choose the optimization to use (in case the user did not specify any):
        if (
            self._use_flash_attention_2 is None
            and self._use_better_transformers is None
        ):
            # Prefer to use flash attention 2 if available and cuda device is supported (see GPU names to architecture
            # here: https://en.wikipedia.org/wiki/List_of_Nvidia_graphics_processing_units#Tesla):
            if device.type == "cuda" and is_flash_attn_2_available():
                cuda_device_name = torch.cuda.get_device_properties(device).name
                if any(
                    cuda_device_name.startswith(gpu_name)
                    for gpu_name in [
                        "NVIDIA A",  # For Ampere architecture (e.g. A10, A30, A100)
                        "NVIDIA H",  # For Hopper architecture (e.g. H100)
                        "NVIDIA L",  # For Ada Lovelace architecture (e.g. L4, L40)
                        "NVIDIA RTX 30",  # For Ada Lovelace architecture (RTX 30 series)
                        "NVIDIA RTX 40",  # For Ada Lovelace architecture (RTX 40 series)
                        "NVIDIA RTX 50",  # For Ada Lovelace architecture (RTX 50 series)
                        # Will be supported soon according to FlashAttention GitHub repo:
                        # https://github.com/Dao-AILab/flash-attention?tab=readme-ov-file#installation-and-features
                        # "NVIDIA T4",  # For Turing architecture (only T4)
                        # "NVIDIA RTX 20",  # For Turing architecture (RTX 20 series)
                    ]
                ):
                    self._use_flash_attention_2 = True
                else:
                    self._use_better_transformers = True
            else:
                self._use_better_transformers = True

        # Build the optimizations kwargs:
        model_kwargs = {
            "low_cpu_mem_usage": True,
            "use_safetensors": True,
        }
        if self._use_flash_attention_2:
            if _LOGGER:
                _LOGGER.info(
                    "Using FlashAttention2 optimization - make sure the `flash-attn` package is installed via "
                    "`pip install -U flash-attn --no-build-isolation`"
                )
            model_kwargs["attn_implementation"] = "flash_attention_2"
        elif self._use_better_transformers:
            if _LOGGER:
                _LOGGER.info(
                    "Using BetterTransformers optimization - make sure the `optimum` package is installed via "
                    "`pip install -U optimum`"
                )
            model_kwargs["attn_implementation"] = "sdpa"

        # Initialize the speech recognition pipeline:
        self._transcription_pipeline = pipeline(
            task="automatic-speech-recognition",
            model=self._model_name,
            model_kwargs=model_kwargs.copy(),
            batch_size=self._batch_size,
            max_new_tokens=self._max_new_tokens,
            chunk_length_s=self._chunk_length_s,
            return_timestamps=self._return_timestamps,
            torch_dtype=torch_dtype,
            device=device,
        )

        # Prepare the generation kwargs:
        self._generate_kwargs = {
            "language": self._spoken_language,
            "task": "translate" if self._translate_to_english else "transcribe",
        }

        # Initialize the assistant model (if needed):
        if self._assistant_model:
            assistant_model = AutoModelForCausalLM.from_pretrained(
                self._assistant_model, torch_dtype=torch_dtype, **model_kwargs
            )
            assistant_model.to(device)
            self._generate_kwargs["assistant_model"] = assistant_model

    def transcribe(
        self,
        audio_files: List[Path],
        batch_processor: BatchProcessor = None,
        batches_queue: Queue = None,
        verbose: bool = False,
    ) -> Union[List[List[dict]], None]:
        """
        Transcribe the given audio files. The transcriptions will be sent to a queue or a batch processor for further
        processing like writing to text files. If no queue or batch processor is given, the transcriptions outputs from
        the pipeline will be returned. Otherwise, `None` is returned.

        :param audio_files:     The audio files to transcribe.
        :param batch_processor: A batch processor.
        :param batches_queue:   A multiprocessing queue to put the batches in.
        :param verbose:         Whether to show a progress bar. Default is False.

        :returns: The transcriptions outputs from the pipeline if no queue or batch processor is given, otherwise,
                  `None`.
        """
        # Wrap the audio files with a function to iterate over them via a generator (save memory and runtime with
        # Huggingface's pipelines as they preload each input while inference is running):
        def audio_iterator() -> Generator[Union[dict, str], None, None]:
            if self._per_channel_transcription:
                for audio_file in audio_files:
                    audio, sampling_rate = torchaudio.load(str(audio_file))
                    audio = audio.numpy()
                    for channel in audio:
                        yield {"raw": channel, "sampling_rate": sampling_rate}
            else:
                for audio_file in audio_files:
                    yield str(audio_file)

        # Create a batch iterator:
        def batch_iterator() -> Generator[List[Union[dict, str]], None, None]:
            batch = []
            for audio in audio_iterator():
                batch.append(audio)
                if len(batch) == self._batch_size:
                    yield batch
                    batch = []
            if batch:
                yield batch

        # Prepare the successes dataframe and errors dictionary to be returned:
        outputs = []

        # Infer through the pipeline:
        for input_batch in tqdm(
            batch_iterator() if self._batch_size > 1 else audio_iterator(),
            desc="Transcribing",
            unit="channel" if self._per_channel_transcription else "audio file",
            total=(
                (
                    (len(audio_files) // self._batch_size)
                    + (len(audio_files) % self._batch_size != 0)
                )
                * (self._per_channel_transcription or 1)
            ),
            disable=not verbose,
        ):
            # Infer:
            try:
                output_batch = self._transcription_pipeline(
                    input_batch,
                    generate_kwargs=self._generate_kwargs,
                )
            except Exception as exception:
                # Collect the exception:
                output_batch = str(exception)
                # Align to batch size:
                output_batch = (
                    [output_batch] * len(input_batch)
                    if isinstance(input_batch, list)
                    else [output_batch]
                )
            # To align with batching, if batch size is 1, wrap the output with a list:
            if isinstance(output_batch, dict):
                output_batch = [output_batch]
            # If a batch processor is given, process the batch:
            if batch_processor:
                # Process it directly:
                batch_processor.process_batch(batch=output_batch)
                batch_processor.do_tasks()
            elif batches_queue:
                # Otherwise, queue the batch:
                batches_queue.put(output_batch)
            else:
                # Otherwise, collect the output as is without processing:
                outputs.append(output_batch)

        # Check if given a multiprocessing queue or a batch processor:
        if batches_queue:
            batches_queue.put(_MULTIPROCESSING_STOP_MARK)

        return outputs if not batch_processor else None


#: The value to send into multiprocessing queues to stop the process:
_MULTIPROCESSING_STOP_MARK = "STOP"


def _multiprocessing_process_batches(
    batch_processor: BatchProcessor,
    batches_queue: Queue,
    tasks_queue: Queue,
    n_task_completers: int,
):
    """
    Process the batches in the given batches queue and put the tasks in the given tasks queue. The function will stop
    when the given batches queue will receive the stop mark. It is aimed to be used with multiprocessing as a process.

    :param batch_processor:   A batch processor to process the batches.
    :param batches_queue:     A queue to get the batches from.
    :param tasks_queue:       A queue to put the tasks in.
    :param n_task_completers: The number of task completers (processes that run the `_multiprocessing_complete_tasks`
                              function). A stop mark will be sent to the tasks queue for each task completer.
    """
    while True:
        # Get the batch:
        batch: List[dict] = batches_queue.get()
        if batch == _MULTIPROCESSING_STOP_MARK:
            break

        # Process the batch:
        batch_processor.process_batch(batch=batch)

        # Get the tasks:
        tasks = batch_processor.get_tasks()

        # Queue the tasks:
        for task in tasks:
            tasks_queue.put(task.to_tuple())

    # Mark the end of the batches:
    for _ in range(n_task_completers):
        tasks_queue.put(_MULTIPROCESSING_STOP_MARK)


def _multiprocessing_complete_tasks(tasks_queue: Queue, results_queue: Queue):
    """
    Complete the tasks in the given queue and put the results in the given results queue. The function will stop when
    the given tasks queue will receive the stop mark. It is aimed to be used with multiprocessing as a process.

    :param tasks_queue:   A queue to get the tasks from.
    :param results_queue: A queue to put the results in.
    """
    tasks_map = {
        BaseTask.__name__: BaseTask,
        SpeechDiarizationTask.__name__: SpeechDiarizationTask,
        SpeechDiarizationPerChannelTask.__name__: SpeechDiarizationPerChannelTask,
    }

    while True:
        # Get the task:
        task = tasks_queue.get()
        if task == _MULTIPROCESSING_STOP_MARK:
            break

        # Reconstruct the task:
        task_class, task_kwargs = task
        task = tasks_map[task_class](**task_kwargs)

        # Complete the task:
        task.do_task()
        results_queue.put((task.is_failed(), task.get_result()))

    # Mark the end of the tasks:
    results_queue.put(_MULTIPROCESSING_STOP_MARK)


# Get the global logger:
_LOGGER = logging.getLogger()


def open_mpi_handler(
    worker_inputs: List[str], root_worker_inputs: Dict[str, Any] = None
):
    global _LOGGER

    # Check for MLRun and OpenMPI availability:
    context, comm = _check_mlrun_and_open_mpi()

    # Check if MLRun is available, set the global logger to MLRun's:
    if context:
        _LOGGER = context.logger

    def decorator(handler):
        if comm is None or comm.Get_size() == 1:
            return handler

        @wraps(handler)
        def wrapper(**kwargs):
            # Get the open mpi environment properties:
            size = comm.Get_size()
            rank = comm.Get_rank()

            # Give the correct chunk of the workers inputs:
            for worker_input in worker_inputs:
                input_argument = kwargs[worker_input]
                if input_argument is None:
                    continue
                if isinstance(input_argument, str):
                    input_argument = _get_audio_files(
                        data_path=Path(input_argument).absolute()
                    )
                if len(input_argument) < size:
                    raise ValueError(
                        f"Cannot split the input '{worker_input}' of length {len(input_argument)} to {size} workers. "
                        f"Please reduce the amount of workers for this input."
                    )
                even_chunk_size = len(input_argument) // size
                chunk_start = rank * even_chunk_size
                chunk_end = (
                    (rank + 1) * even_chunk_size
                    if rank + 1 < size
                    else len(input_argument)
                )
                context.logger.info(
                    f"Rank #{rank}: Processing input chunk of '{worker_input}' "
                    f"from index {chunk_start} to {chunk_end}."
                )
                if isinstance(input_argument, list):
                    input_argument = input_argument[chunk_start:chunk_end]
                elif isinstance(input_argument, pd.DataFrame):
                    input_argument = input_argument.iloc[chunk_start:chunk_end:, :]
                kwargs[worker_input] = input_argument

            # Set the root worker only arguments:
            if rank == 0 and root_worker_inputs:
                kwargs.update(root_worker_inputs)

            # Run the worker:
            output = handler(**kwargs)

            # Save the output directory of this worker:
            output_directory = Path(output[0])

            # Send the output to the root rank (rank #0):
            output = comm.gather(output, root=0)

            # Join the data from all workers:
            if rank == 0:
                context.logger.info("Collecting data from workers to root worker.")

                # Check if there are different output directories:
                output_directories = set([Path(out_dir) for out_dir, _, _ in output])
                for r in range(1, size):
                    # True means the other workers should pass their files to the root worker (rank 0):
                    comm.send(len(output_directories) != 1, dest=r)

                # If there are different output directories, listen to the other workers:
                if len(output_directories) != 1:
                    # Collect the files from the other workers:
                    files = []
                    for r in range(1, size):
                        files.extend(comm.recv(source=r))
                    # Write the files to the root worker's output directory:
                    for file_name, file_content in files:
                        with open(output_directory / file_name, "w") as f:
                            f.write(file_content)

                # Concatenate the dataframes:
                dataframe = pd.concat(objs=[df for _, df, _ in output], axis=0)

                # Concatenate the errors dictionaries:
                errors_dictionary = reduce(
                    operator.ior, [err for _, _, err in output], {}
                )

                return str(output_directory), dataframe, errors_dictionary

            # Listen to rank 0 to see if there are different output directories and this rank need to send its files to
            # it:
            if comm.recv(source=0):
                files = []
                for file in os.listdir(output_directory):
                    with open(output_directory / file, "r") as f:
                        files.append((file, f.read()))
                comm.send(files, dest=0)
            return None

        return wrapper

    return decorator


def _check_mlrun_and_open_mpi() -> Tuple["mlrun.MLClientCtx", "mpi4py.MPI.Intracomm"]:
    is_mpi = False
    try:
        import mlrun

        context = mlrun.get_or_create_ctx(name="mlrun")
        is_mpi = context.labels.get("kind", "job") == "mpijob"

        if is_mpi:
            try:
                from mpi4py import MPI

                return context, MPI.COMM_WORLD
            except ModuleNotFoundError as mpi4py_not_found:
                context.logger.error(
                    "To distribute the function using MLRun's 'mpijob' you need to have `mpi4py` package in your "
                    "interpreter. Please run `pip install mpi4py` and make sure you have open-mpi."
                )
                raise mpi4py_not_found
        else:
            return context, None
    except ModuleNotFoundError as module_not_found:
        if is_mpi:
            raise module_not_found
    return None, None


@open_mpi_handler(worker_inputs=["data_path"], root_worker_inputs={"verbose": True})
def transcribe(
    # Input / Output kwargs:
    data_path: Union[str, Path, List[Union[str, Path]]],
    output_directory: str = None,
    # Model loading kwargs:
    model_name: str = "openai/whisper-tiny",
    device: str = None,
    use_flash_attention_2: bool = None,
    use_better_transformers: bool = None,
    # Generation kwargs:
    assistant_model: str = None,
    max_new_tokens: int = 128,
    chunk_length_s: int = 30,
    batch_size: int = 8,
    spoken_language: str = None,
    translate_to_english: bool = False,
    # Diarization kwargs:
    speech_diarization: Dict[str, List[Tuple[float, float, str]]] = None,
    speech_diarize_per_channel: int = None,
    speaker_labels: List[str] = None,
    # Other kwargs:
    use_multiprocessing: Union[bool, int] = False,
    verbose: bool = False,
):
    """
    Transcribe audio files into text files and collect additional data. The end result is a directory of transcribed
    text files and a dataframe containing the following columns:

    * audio_file - The audio file path.
    * transcription_file - The transcribed text file name in the output directory.

    The transcription is based on Huggingface's ASR pipeline -
    https://huggingface.co/transformers/main_classes/pipelines.html#transformers.AutomaticSpeechRecognitionPipeline and
    is tested with OpenAI's Whisper models - https://huggingface.co/openai.

    If one of the speaker diarization parameters are given (either `speech_diarization` or
    `speech_diarize_per_channel`), the transcription will be written in a conversation format, where each speaker will
    be written in a separate line::

        speaker_1: text
        speaker_2: text
        speaker_1: text
        ...

    :param data_path:                  A directory of audio files or a single file or a list of files to transcribe.
    :param output_directory:           Path to a directory to save all transcribed audio files. If not given, will save
                                       the transcribed files in a temporary directory.
    :param model_name:                 The model name to use. Should be a model from the OpenAI's Whisper models for
                                       best results (for example "tiny", "base", "large", etc.). See here for more
                                       information: https://huggingface.co/openai?search_models=whisper.
    :param device:                     The device to use for inference. If not given, will use GPU if available.
    :param use_flash_attention_2:      Whether to use the Flash Attention 2 implementation. It can be used only with
                                       one of the following GPUs: Nvidia H series and Nvidia A series. T4 support
                                       will be available soon.

                                       Note: If both `use_flash_attention_2` and
                                       `use_better_transformers` are `None`, the optimization will be chosen
                                       automatically according to the available resources.

    :param use_better_transformers:    Whether to use the Better Transformers library to further optimize the model.
                                       Should be used for all use cases that do not support flash attention 2.

                                       Note: If both `use_flash_attention_2` and `use_better_transformers` are
                                       `None`, the optimization will be chosen automatically according to the
                                       available resources.
    :param assistant_model:            The assistant model name to use for inference. Notice that the optimizations
                                       (flash attention 2 and better transformers) will be applied for the assistant as
                                       well. Should be a model from Huggingface's distil-whisper (see here for more
                                       information: https://github.com/huggingface/distil-whisper).

                                       Note: Currently an assistant model is only usable with batch size of 1.
    :param max_new_tokens:             The maximum number of new tokens to generate. This is used to limit the
                                       generation length. Default is 128 tokens.
    :param chunk_length_s:             The audio chunk to split the audio to (in seconds). Default is 30 seconds.
    :param batch_size:                 The batch size to use for inference. Default is 2.
    :param spoken_language:            Aim whisper to know what language is spoken. If None, it will try to detect
                                       it.
    :param translate_to_english:       Whether to translate the transcriptions to English.
    :param speech_diarization:         A speech diarization dictionary with the file names to transcribe as keys and
                                       their diarization as value. The diarization is a list of tuples:
                                       (start, end, speaker). An example
                                       for a diarization dictionary::

                                       {
                                           "audio_file_name": [
                                               {
                                                   "start": 0.0,
                                                   "end": 2.0,
                                                   "speaker": "Agent",
                                               },
                                               {
                                                   "start": 2.0,
                                                   "end": 4.0,
                                                   "speaker": "Client",
                                               },
                                               ...
                                           ],
                                           ...
                                       }

                                       Note: The diarization must be for the entire duration of the audio file (as long
                                       as Whisper is predicting words up until then.
    :param speech_diarize_per_channel: Perform speech diarization per channel. Each speaker is expected to belong to
                                       a separate channel in the audio. Notice: This will make the transcription
                                       slower as each channel wil be transcribed separatly. If a speech diarization
                                       is passed (via the `speech_diarization` parameter), this parameter is
                                       ignored.
    :param speaker_labels:             A list of speaker labels by channel order to use for writing the
                                       transcription with respect to per channel speech diarization. This won't be
                                       used together with a given speech diarization (via the `speech_diarization`
                                       parameter).
    :param use_multiprocessing:        Whether to use multiprocessing to transcribe the audio files. Can be either a
                                       boolean value or an integer. If `True`, will use the default amount of workers
                                       (3): 1 for transcription, 1 for batch processing and 1 for task completion (such
                                       as speech diarization and writing to files). To control the amount of tasks
                                       completion workers, an integer can be provided to specify the amount of workers.
                                       `False`, will use a single process. Default is `False`.
    :param verbose:                    Whether to print the progress of the transcription. Default is `False`.
    """
    global _LOGGER

    # Get the input audio files to transcribe:
    if verbose:
        _LOGGER.info("Collecting audio files.")
    audio_files = _get_audio_files(data_path=data_path)
    if verbose:
        _LOGGER.info(f"Collected {len(audio_files)} audio files.")

    # Get the output directory:
    if output_directory is None:
        if verbose:
            _LOGGER.info("No output directory given, using temporary directory.")
        output_directory = tempfile.mkdtemp()
    output_directory = Path(output_directory).absolute()
    output_directory.mkdir(exist_ok=True, parents=True)
    if verbose:
        _LOGGER.info(f"Transcriptions will be saved to: {output_directory}")

    # Initialize a batch processor according to user requirements (no speech diarization, given speech diarization,
    # speech diarization per channel):
    if speech_diarization:
        batch_processor = SpeechDiarizationBatchProcessor(
            audio_files=audio_files,
            output_directory=output_directory,
            speech_diarization=speech_diarization,
        )
    elif speech_diarize_per_channel:
        batch_processor = PerChannelSpeechDiarizationBatchProcessor(
            audio_files=audio_files,
            output_directory=output_directory,
            n_channels=speech_diarize_per_channel,
            speakers=speaker_labels,
        )
    else:
        batch_processor = BatchProcessor(
            audio_files=audio_files,
            output_directory=output_directory,
        )

    # Initialize the transcription pipeline:
    transcriber = Transcriber(
        device=device,
        use_flash_attention_2=use_flash_attention_2,
        use_better_transformers=use_better_transformers,
        assistant_model=assistant_model,
        model_name=model_name,
        max_new_tokens=max_new_tokens,
        chunk_length_s=chunk_length_s,
        batch_size=batch_size,
        return_timestamps=(
            "word"
            if speech_diarization is not None or speech_diarize_per_channel is not None
            else False
        ),
        per_channel_transcription=speech_diarize_per_channel or 0,
        spoken_language=spoken_language,
        translate_to_english=translate_to_english,
    )

    # Run the transcription:
    if use_multiprocessing:
        results = _parallel_run(
            n_workers=use_multiprocessing
            if isinstance(use_multiprocessing, int)
            else 1,
            audio_files=audio_files,
            batch_processor=batch_processor,
            transcriber=transcriber,
            verbose=verbose,
        )
    else:
        results = _run(
            audio_files=audio_files,
            batch_processor=batch_processor,
            transcriber=transcriber,
            verbose=verbose,
        )

    # Process the results:
    if verbose:
        _LOGGER.info("Summarizing the results.")
    successes = []
    errors = {}
    for is_error, result in results:
        if is_error:
            errors[result[0]] = result[1]
        else:
            successes.append(result)
    successes = pd.DataFrame(successes, columns=["audio_file", "transcription_file"])
    if verbose:
        _LOGGER.info(
            f"Done ({successes.shape[0]}/{len(audio_files)})\n"
            f"Transcriptions summary:\n"
            f"{successes.head()}"
        )

    return str(output_directory), successes, errors


def _get_audio_files(
    data_path: Union[Path, str, list],
) -> List[Path]:
    """
    Get the audio files to transcribe. If a path to a directory is given, all files in the directory will be collected.

    :param data_path: The data path to collect the audio files from.

    :returns: The audio files list.
    """
    # Check if given a list of paths:
    if isinstance(data_path, list):
        audio_files = []
        for path in data_path:
            audio_files.extend(_get_audio_files(data_path=path))
        return audio_files

    # Check if given a single string path to cast it to a `pathlib.Path`:
    if isinstance(data_path, str):
        data_path = Path(data_path).absolute()

    # Check if the path is of a directory or a file:
    if data_path.is_dir():
        # Get all files inside the directory:
        audio_files = list(data_path.glob("*.*"))
    elif data_path.is_file():
        audio_files = [data_path]
    else:
        raise ValueError(
            f"Unrecognized data path. The parameter `data_path` must be a valid path to either a directory path or a "
            f"file. Given: {str(data_path)} "
        )

    return audio_files


def _run(
    audio_files: List[Path],
    batch_processor: BatchProcessor,
    transcriber: Transcriber,
    verbose: bool,
) -> List[Tuple[bool, Tuple[str, str]]]:
    """
    Run the transcription without multiprocessing.

    :param audio_files:     The audio files to transcribe.
    :param batch_processor: The batch processor to use.
    :param transcriber:     The transcriber to use.
    :param verbose:         Verbosity.

    :returns: The collected results.
    """
    # Load the transcription pipeline:
    if verbose:
        _LOGGER.info(f"Loading the transcription pipeline.")
    transcriber.load()
    if verbose:
        _LOGGER.info("Transcription pipeline loaded.")

    # Transcribe the files:
    transcriber.transcribe(
        audio_files=audio_files,
        batch_processor=batch_processor,
        verbose=verbose,
    )

    # Return the results:
    return batch_processor.get_results()


def _parallel_run(
    n_workers: int,
    audio_files: List[Path],
    batch_processor: BatchProcessor,
    transcriber: Transcriber,
    verbose: bool,
):
    """
    Run the transcription with multiprocessing.

    :param n_workers:       The amount of workers to use as task completers.
    :param audio_files:     The audio files to transcribe.
    :param batch_processor: The batch processor to use.
    :param transcriber:     The transcriber to use.
    :param verbose:         Verbosity.

    :returns: The collected results.
    """
    # Initialize the multiprocessing queues:
    batches_queue = Queue()
    tasks_queue = Queue()
    results_queue = Queue()

    # Initialize the multiprocessing processes:
    batch_processing_process = Process(
        target=_multiprocessing_process_batches,
        kwargs={
            "batch_processor": batch_processor,
            "batches_queue": batches_queue,
            "tasks_queue": tasks_queue,
            "n_task_completers": n_workers,
        },
    )
    task_completion_processes = [
        Process(
            target=_multiprocessing_complete_tasks,
            kwargs={"tasks_queue": tasks_queue, "results_queue": results_queue},
        )
        for _ in range(n_workers)
    ]

    # Start the multiprocessing processes:
    batch_processing_process.start()
    for p in task_completion_processes:
        p.start()

    # Load the transcription pipeline:
    if verbose:
        _LOGGER.info(f"Loading the transcription pipeline.")
    transcriber.load()
    if verbose:
        _LOGGER.info("Transcription pipeline loaded.")

    # Transcribe the files:
    transcriber.transcribe(
        audio_files=audio_files, batches_queue=batches_queue, verbose=verbose
    )

    # Collect the results:
    results = []
    stop_marks_counter = 0
    while True:
        # Get a result from the queue:
        result: Tuple[bool, Tuple[str, str]] = results_queue.get()
        if result == _MULTIPROCESSING_STOP_MARK:
            stop_marks_counter += 1
            if stop_marks_counter == n_workers:
                break
        else:
            # Collect the result:
            results.append(result)

    # Wait for the processes to finish:
    results_queue.empty()
    batch_processing_process.join()
    for p in task_completion_processes:
        p.join()

    return results
+    base_image: mlrun/mlrun
+    commands: []
+    code_origin: ''
+    origin_filename: ''
+    requirements:
+    - transformers
+    - tqdm
+    - torchaudio
+    - torch
+    - accelerate
+  entry_points:
+    do_task:
+      name: do_task
+      doc: Try to perform the task storing an error if occurred.
+      parameters:
+      - name: self
+      outputs: []
+      lineno: 348
+      has_varargs: false
+      has_kwargs: false
+    is_failed:
+      name: is_failed
+      doc: Check if the task failed.
+      parameters:
+      - name: self
+      outputs:
+      - doc: Whether the task failed.
+        type: bool
+      lineno: 70
+      has_varargs: false
+      has_kwargs: false
+    get_result:
+      name: get_result
+      doc: 'Get the result of the task. If the task failed, the error will be returned,
+        otherwise, the result will be the
+
+        text file name.'
+      parameters:
+      - name: self
+      outputs:
+      - doc: The task's result.
+        type: Tuple[str, str]
+      lineno: 78
+      has_varargs: false
+      has_kwargs: false
+    to_tuple:
+      name: to_tuple
+      doc: Convert the task to a tuple to reconstruct it later (used for multiprocessing
+        to pass in queue).
+      parameters:
+      - name: self
+      outputs:
+      - doc: The converted task.
+        type: Tuple[str, dict]
+      lineno: 358
+      has_varargs: false
+      has_kwargs: false
+    transcription_output_channels:
+      name: transcription_output_channels
+      doc: Get the transcription output channels.
+      parameters:
+      - name: self
+      outputs:
+      - doc: The transcription output channels.
+        type: List[Tuple[str, dict]]
+      lineno: 340
+      has_varargs: false
+      has_kwargs: false
+    process_batch:
+      name: process_batch
+      doc: 'Process a batch of transcriptions. Tasks related to the given batch will
+        be created and stored in the batch
+
+        processor.'
+      parameters:
+      - name: self
+      - name: batch
+        type: List[dict]
+        doc: The batch of transcriptions to process.
+      outputs: []
+      lineno: 575
+      has_varargs: false
+      has_kwargs: false
+    get_tasks:
+      name: get_tasks
+      doc: Get the tasks to perform.
+      parameters:
+      - name: self
+      outputs:
+      - doc: The tasks to perform.
+        type: List[BaseTask]
+      lineno: 453
+      has_varargs: false
+      has_kwargs: false
+    do_tasks:
+      name: do_tasks
+      doc: Perform the tasks. Should be used if no multiprocessing queue is given
+        to a transcriber.
+      parameters:
+      - name: self
+      outputs: []
+      lineno: 463
+      has_varargs: false
+      has_kwargs: false
+    get_results:
+      name: get_results
+      doc: Get the results of the tasks. The stored results are then cleared.
+      parameters:
+      - name: self
+      outputs:
+      - doc: The results of the tasks.
+        type: List[Tuple[bool, Tuple[str, str]]]
+      lineno: 471
+      has_varargs: false
+      has_kwargs: false
+    load:
+      name: load
+      doc: Load the transcriber. Must be called before transcribing.
+      parameters:
+      - name: self
+      outputs: []
+      lineno: 695
+      has_varargs: false
+      has_kwargs: false
+    transcribe:
+      name: transcribe
+      doc: "Transcribe audio files into text files and collect additional data. The\
+        \ end result is a directory of transcribed\ntext files and a dataframe containing\
+        \ the following columns:\n\n* audio_file - The audio file path.\n* transcription_file\
+        \ - The transcribed text file name in the output directory.\n\nThe transcription\
+        \ is based on Huggingface's ASR pipeline -\nhttps://huggingface.co/transformers/main_classes/pipelines.html#transformers.AutomaticSpeechRecognitionPipeline\
+        \ and\nis tested with OpenAI's Whisper models - https://huggingface.co/openai.\n\
+        \nIf one of the speaker diarization parameters are given (either `speech_diarization`\
+        \ or\n`speech_diarize_per_channel`), the transcription will be written in\
+        \ a conversation format, where each speaker will\nbe written in a separate\
+        \ line::\n\n    speaker_1: text\n    speaker_2: text\n    speaker_1: text\n\
+        \    ..."
+      parameters:
+      - name: data_path
+        type: Union[str, Path, List[Union[str, Path]]]
+        doc: A directory of audio files or a single file or a list of files to transcribe.
+      - name: output_directory
+        type: str
+        doc: Path to a directory to save all transcribed audio files. If not given,
+          will save the transcribed files in a temporary directory.
+        default: null
+      - name: model_name
+        type: str
+        doc: 'The model name to use. Should be a model from the OpenAI''s Whisper
+          models for best results (for example "tiny", "base", "large", etc.). See
+          here for more information: https://huggingface.co/openai?search_models=whisper.'
+        default: openai/whisper-tiny
+      - name: device
+        type: str
+        doc: The device to use for inference. If not given, will use GPU if available.
+        default: null
+      - name: use_flash_attention_2
+        type: bool
+        doc: 'Whether to use the Flash Attention 2 implementation. It can be used
+          only with one of the following GPUs: Nvidia H series and Nvidia A series.
+          T4 support will be available soon.'
+        default: null
+      - name: use_better_transformers
+        type: bool
+        doc: Whether to use the Better Transformers library to further optimize the
+          model. Should be used for all use cases that do not support flash attention
+          2.
+        default: null
+      - name: assistant_model
+        type: str
+        doc: 'The assistant model name to use for inference. Notice that the optimizations
+          (flash attention 2 and better transformers) will be applied for the assistant
+          as well. Should be a model from Huggingface''s distil-whisper (see here
+          for more information: https://github.com/huggingface/distil-whisper).'
+        default: null
+      - name: max_new_tokens
+        type: int
+        doc: The maximum number of new tokens to generate. This is used to limit the
+          generation length. Default is 128 tokens.
+        default: 128
+      - name: chunk_length_s
+        type: int
+        doc: The audio chunk to split the audio to (in seconds). Default is 30 seconds.
+        default: 30
+      - name: batch_size
+        type: int
+        doc: The batch size to use for inference. Default is 2.
+        default: 8
+      - name: spoken_language
+        type: str
+        doc: Aim whisper to know what language is spoken. If None, it will try to
+          detect it.
+        default: null
+      - name: translate_to_english
+        type: bool
+        doc: Whether to translate the transcriptions to English.
+        default: false
+      - name: speech_diarization
+        type: Dict[str, List[Tuple[float, float, str]]]
+        doc: 'A speech diarization dictionary with the file names to transcribe as
+          keys and their diarization as value. The diarization is a list of tuples:
+          (start, end, speaker). An example for a diarization dictionary::'
+        default: null
+      - name: speech_diarize_per_channel
+        type: int
+        doc: 'Perform speech diarization per channel. Each speaker is expected to
+          belong to a separate channel in the audio. Notice: This will make the transcription
+          slower as each channel wil be transcribed separatly. If a speech diarization
+          is passed (via the `speech_diarization` parameter), this parameter is ignored.'
+        default: null
+      - name: speaker_labels
+        type: List[str]
+        doc: A list of speaker labels by channel order to use for writing the transcription
+          with respect to per channel speech diarization. This won't be used together
+          with a given speech diarization (via the `speech_diarization` parameter).
+        default: null
+      - name: use_multiprocessing
+        type: Union[bool, int]
+        doc: 'Whether to use multiprocessing to transcribe the audio files. Can be
+          either a boolean value or an integer. If `True`, will use the default amount
+          of workers (3): 1 for transcription, 1 for batch processing and 1 for task
+          completion (such as speech diarization and writing to files). To control
+          the amount of tasks completion workers, an integer can be provided to specify
+          the amount of workers. `False`, will use a single process. Default is `False`.'
+        default: false
+      - name: verbose
+        type: bool
+        doc: Whether to print the progress of the transcription. Default is `False`.
+        default: false
+      outputs: []
+      lineno: 1097
+      has_varargs: false
+      has_kwargs: false
+    audio_iterator:
+      name: audio_iterator
+      doc: ''
+      parameters: []
+      outputs:
+      - type: Generator[Union[dict, str], None, None]
+      lineno: 804
+      has_varargs: false
+      has_kwargs: false
+    batch_iterator:
+      name: batch_iterator
+      doc: ''
+      parameters: []
+      outputs:
+      - type: Generator[List[Union[dict, str]], None, None]
+      lineno: 816
+      has_varargs: false
+      has_kwargs: false
+    open_mpi_handler:
+      name: open_mpi_handler
+      doc: ''
+      parameters:
+      - name: worker_inputs
+        type: List[str]
+      - name: root_worker_inputs
+        type: Dict[str, Any]
+        default: null
+      outputs: []
+      lineno: 957
+      has_varargs: false
+      has_kwargs: false
+    decorator:
+      name: decorator
+      doc: ''
+      parameters:
+      - name: handler
+      outputs: []
+      lineno: 969
+      has_varargs: false
+      has_kwargs: false
+    wrapper:
+      name: wrapper
+      doc: ''
+      parameters: []
+      outputs: []
+      lineno: 974
+      has_varargs: false
+      has_kwargs: true
+  description: Transcribe audio files into text files
+  default_handler: transcribe
+  disable_auto_mount: false
+  clone_target_dir: ''
+  env: []
+  priority_class_name: ''
+  preemption_mode: prevent
+  affinity: null
+  tolerations: null
+  security_context: {}
+verbose: false
diff --git a/functions/master/transcribe/1.1.0/src/item.yaml b/functions/master/transcribe/1.1.0/src/item.yaml
new file mode 100644
index 00000000..7fddcf95
--- /dev/null
+++ b/functions/master/transcribe/1.1.0/src/item.yaml
@@ -0,0 +1,32 @@
+apiVersion: v1
+categories:
+- data-preparation
+- genai
+- huggingface
+- machine-learning
+description: Transcribe audio files into text files
+doc: ''
+example: transcribe.ipynb
+generationDate: 2023-07-13:11-20
+hidden: false
+icon: ''
+labels:
+  author: yonatans
+maintainers: []
+marketplaceType: ''
+mlrunVersion: 1.5.1
+name: transcribe
+platformVersion: 3.5.3
+spec:
+  filename: transcribe.py
+  handler: transcribe
+  image: mlrun/mlrun
+  kind: job
+  requirements:
+    - transformers
+    - tqdm
+    - torchaudio
+    - torch
+    - accelerate
+url: ''
+version: 1.1.0
\ No newline at end of file
diff --git a/functions/master/transcribe/1.1.0/src/requirements.txt b/functions/master/transcribe/1.1.0/src/requirements.txt
new file mode 100644
index 00000000..d16bfc9d
--- /dev/null
+++ b/functions/master/transcribe/1.1.0/src/requirements.txt
@@ -0,0 +1,5 @@
+transformers
+torch
+torchaudio
+tqdm
+accelerate
\ No newline at end of file
diff --git a/functions/master/transcribe/1.1.0/src/test_transcribe.py b/functions/master/transcribe/1.1.0/src/test_transcribe.py
new file mode 100644
index 00000000..f70b3856
--- /dev/null
+++ b/functions/master/transcribe/1.1.0/src/test_transcribe.py
@@ -0,0 +1,104 @@
+# Copyright 2019 Iguazio
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+import os
+import pathlib
+import tempfile
+from difflib import SequenceMatcher
+
+import mlrun
+import pytest
+
+
+expected_outputs = [
+    "This is a speech to text test.",
+    "In the heart of the stadium, "
+    "cheers paint the air as the ball weaves its tale across the pitch. "
+    "With each kick, players chase their dreams, guided by the rhythmic dance of teamwork. "
+    "The crowd roars, a symphony of passion, "
+    "as the game writes its unpredictable story on the field of destiny.",
+]
+models = [
+
+    "openai/whisper-tiny",
+]
+
+
+@pytest.mark.skipif(os.system("which ffmpeg") != 0, reason="ffmpeg not installed")
+@pytest.mark.parametrize("model_name", models)
+@pytest.mark.parametrize("audio_path", ["./data", "./data/speech_01.mp3"])
+def test_transcribe(model_name: str, audio_path: str):
+    # Setting variables and importing function:
+    artifact_path = tempfile.mkdtemp()
+    project = mlrun.get_or_create_project("test")
+    transcribe_function = project.set_function("transcribe.py", "transcribe", kind="job", image="mlrun/mlrun")
+    # transcribe_function = mlrun.import_function("function.yaml")
+    temp_dir = tempfile.mkdtemp()
+
+    # Running transcribe function:
+    transcribe_run = transcribe_function.run(
+        handler="transcribe",
+        params={
+            "data_path": audio_path,
+            "model_name": model_name,
+            "device": "cpu",
+            "output_directory": temp_dir,
+        },
+        local=True,
+        returns=["output_dir: path", "dataset: dataset", "errored_files"],
+        artifact_path=artifact_path,
+    )
+
+    artifact_path += (
+        f"/{transcribe_run.metadata.name}/{transcribe_run.metadata.iteration}/"
+    )
+
+    # Getting actual files from run (text and errored):
+    input_files = (
+        os.listdir(audio_path)
+        if pathlib.Path(audio_path).is_dir()
+        else [pathlib.Path(audio_path).name]
+    )
+    expected_text_files = sorted([f for f in input_files if f.endswith("mp3")])
+    error_files = list(set(input_files) - set(expected_text_files))
+    expected_text_files = [f.replace("mp3", "txt") for f in expected_text_files]
+    text_files = sorted(os.listdir(temp_dir))
+
+    # Check that the text files are saved in output_directory:
+    assert text_files == expected_text_files
+
+    # Check that the transcribed text was approximately (90%) generated from audio:
+    for text_file, expected in zip(text_files, expected_outputs):
+        with open(os.path.join(temp_dir, text_file), "r") as f:
+            output = f.readlines()[0]
+            ratio = SequenceMatcher(None, expected, output).ratio()
+            assert ratio >= 0.9
+
+    # Check that the dataframe is in the correct size:
+    df = mlrun.get_dataitem(artifact_path + "dataset.parquet").as_df()
+    assert len(df) == len(expected_text_files)
+
+    # Check errored files:
+    if isinstance(transcribe_run.outputs["errored_files"], str):
+        actual_errored_files = []
+    else:
+        actual_errored_files = [
+            os.path.basename(errored)
+            for errored in transcribe_run.outputs["errored_files"].keys()
+        ]
+    assert actual_errored_files == error_files
+
+    # Check output_dir:
+    zip_dir = mlrun.get_dataitem(artifact_path + "output_dir.zip")
+    assert zip_dir.kind == "file"
diff --git a/functions/master/transcribe/1.1.0/src/transcribe.ipynb b/functions/master/transcribe/1.1.0/src/transcribe.ipynb
new file mode 100644
index 00000000..5671160c
--- /dev/null
+++ b/functions/master/transcribe/1.1.0/src/transcribe.ipynb
@@ -0,0 +1,338 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "a80305ba-ffff-4116-aa46-5c1b67368239",
+   "metadata": {},
+   "source": [
+    "# Transcribe tutorial"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "bdb947f0-5b9a-492d-9676-374c38eee14a",
+   "metadata": {
+    "ExecuteTime": {
+     "start_time": "2023-07-16T17:13:48.565039Z",
+     "end_time": "2023-07-16T17:14:01.952515Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import tempfile\n",
+    "import mlrun"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b7364965-8dcd-419a-8764-dd0c87edb9f8",
+   "metadata": {},
+   "source": [
+    "## Importing the transcribe function from hub\n",
+    "\n",
+    "To import the function directly from hub, use:\n",
+    "```python \n",
+    "transcribe_fn = mlrun.import_function(\"hub://transcribe\")\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "outputs": [],
+   "source": [
+    "artifact_path = tempfile.mkdtemp()"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "start_time": "2023-07-16T17:14:01.954022Z",
+     "end_time": "2023-07-16T17:14:01.955760Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "2d9a80a2-8448-49cd-a92f-1ab2072fc720",
+   "metadata": {
+    "ExecuteTime": {
+     "start_time": "2023-07-16T17:14:01.956508Z",
+     "end_time": "2023-07-16T17:14:01.966758Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "transcribe_fn = mlrun.import_function(\"function.yaml\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7fcb6c8a-f83b-42d9-b02e-9187e85fe232",
+   "metadata": {},
+   "source": [
+    "## Running transcribe"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "1570b05f-cfb7-466d-84c8-98f4c9d54ad4",
+   "metadata": {
+    "ExecuteTime": {
+     "start_time": "2023-07-16T17:14:01.969912Z",
+     "end_time": "2023-07-16T17:14:12.724086Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "> 2023-07-16 17:14:01,968 [info] Storing function: {'name': 'transcribe-transcribe', 'uid': 'd1384cb679bc4c178b0195d964b628a8', 'db': None}\n",
+      "> 2023-07-16 17:14:01,969 [warning] Could not detect path to API server, not connected to API server!\n",
+      "> 2023-07-16 17:14:01,969 [warning] MLRUN_DBPATH is not set. Set this environment variable to the URL of the API server in order to connect\n",
+      "> 2023-07-16 17:14:01,970 [warning] Could not detect path to API server, not connected to API server!\n",
+      "> 2023-07-16 17:14:01,970 [warning] MLRUN_DBPATH is not set. Set this environment variable to the URL of the API server in order to connect\n",
+      "> 2023-07-16 17:14:01,972 [warning] Could not detect path to API server, not connected to API server!\n",
+      "> 2023-07-16 17:14:01,972 [warning] MLRUN_DBPATH is not set. Set this environment variable to the URL of the API server in order to connect\n",
+      "> 2023-07-16 17:14:09,804 [warning] Could not detect path to API server, not connected to API server!\n",
+      "> 2023-07-16 17:14:09,805 [warning] MLRUN_DBPATH is not set. Set this environment variable to the URL of the API server in order to connect\n",
+      "> 2023-07-16 17:14:09,805 [info] Loading whisper model: 'tiny'\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details.\n",
+      "IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "> 2023-07-16 17:14:10,374 [info] Model loaded.\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Transcribing:  67%|██████▋   | 2/3 [00:02<00:01,  1.04s/file]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "> 2023-07-16 17:14:12,556 [warning] Error in file: '/Users/Yonatan_Shelach/projects/functions/transcribe/data/error_file.txt'\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Transcribing: 100%|██████████| 3/3 [00:02<00:00,  1.39file/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "> 2023-07-16 17:14:12,566 [info] Done:\n",
+      "      audio_file transcription_file language     length  rate_of_speech\n",
+      "0  speech_01.mp3      speech_01.txt       en   2.011333        3.480278\n",
+      "1  speech_02.mp3      speech_02.txt       en  20.793500        2.548873\n",
+      "> 2023-07-16 17:14:12,596 [warning] Could not detect path to API server, not connected to API server!\n",
+      "> 2023-07-16 17:14:12,597 [warning] MLRUN_DBPATH is not set. Set this environment variable to the URL of the API server in order to connect\n",
+      "> 2023-07-16 17:14:12,659 [warning] Could not detect path to API server, not connected to API server!\n",
+      "> 2023-07-16 17:14:12,660 [warning] MLRUN_DBPATH is not set. Set this environment variable to the URL of the API server in order to connect\n",
+      "> 2023-07-16 17:14:12,671 [warning] Could not detect path to API server, not connected to API server!\n",
+      "> 2023-07-16 17:14:12,672 [warning] MLRUN_DBPATH is not set. Set this environment variable to the URL of the API server in order to connect\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "> 2023-07-16 17:14:12,707 [warning] Could not detect path to API server, not connected to API server!\n",
+      "> 2023-07-16 17:14:12,707 [warning] MLRUN_DBPATH is not set. Set this environment variable to the URL of the API server in order to connect\n",
+      "> 2023-07-16 17:14:12,708 [warning] Could not detect path to API server, not connected to API server!\n",
+      "> 2023-07-16 17:14:12,708 [warning] MLRUN_DBPATH is not set. Set this environment variable to the URL of the API server in order to connect\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": "<IPython.core.display.HTML object>",
+      "text/html": "<style>\n.dictlist {\n  background-color: #4EC64B;\n  text-align: center;\n  margin: 4px;\n  border-radius: 3px; padding: 0px 3px 1px 3px; display: inline-block;}\n.artifact {\n  cursor: pointer;\n  background-color: #4EC64B;\n  text-align: left;\n  margin: 4px; border-radius: 3px; padding: 0px 3px 1px 3px; display: inline-block;\n}\ndiv.block.hidden {\n  display: none;\n}\n.clickable {\n  cursor: pointer;\n}\n.ellipsis {\n  display: inline-block;\n  max-width: 60px;\n  white-space: nowrap;\n  overflow: hidden;\n  text-overflow: ellipsis;\n}\n.master-wrapper {\n  display: flex;\n  flex-flow: row nowrap;\n  justify-content: flex-start;\n  align-items: stretch;\n}\n.master-tbl {\n  flex: 3\n}\n.master-wrapper > div {\n  margin: 4px;\n  padding: 10px;\n}\niframe.fileview {\n  border: 0 none;\n  height: 100%;\n  width: 100%;\n  white-space: pre-wrap;\n}\n.pane-header-title {\n  width: 80%;\n  font-weight: 500;\n}\n.pane-header {\n  line-height: 1;\n  background-color: #4EC64B;\n  padding: 3px;\n}\n.pane-header .close {\n  font-size: 20px;\n  font-weight: 700;\n  float: right;\n  margin-top: -5px;\n}\n.master-wrapper .right-pane {\n  border: 1px inset silver;\n  width: 40%;\n  min-height: 300px;\n  flex: 3\n  min-width: 500px;\n}\n.master-wrapper * {\n  box-sizing: border-box;\n}\n</style><script>\nfunction copyToClipboard(fld) {\n    if (document.queryCommandSupported && document.queryCommandSupported('copy')) {\n        var textarea = document.createElement('textarea');\n        textarea.textContent = fld.innerHTML;\n        textarea.style.position = 'fixed';\n        document.body.appendChild(textarea);\n        textarea.select();\n\n        try {\n            return document.execCommand('copy'); // Security exception may be thrown by some browsers.\n        } catch (ex) {\n\n        } finally {\n            document.body.removeChild(textarea);\n        }\n    }\n}\nfunction expandPanel(el) {\n  const panelName = \"#\" + el.getAttribute('paneName');\n  console.log(el.title);\n\n  document.querySelector(panelName + \"-title\").innerHTML = el.title\n  iframe = document.querySelector(panelName + \"-body\");\n\n  const tblcss = `<style> body { font-family: Arial, Helvetica, sans-serif;}\n    #csv { margin-bottom: 15px; }\n    #csv table { border-collapse: collapse;}\n    #csv table td { padding: 4px 8px; border: 1px solid silver;} </style>`;\n\n  function csvToHtmlTable(str) {\n    return '<div id=\"csv\"><table><tr><td>' +  str.replace(/[\\n\\r]+$/g, '').replace(/[\\n\\r]+/g, '</td></tr><tr><td>')\n      .replace(/,/g, '</td><td>') + '</td></tr></table></div>';\n  }\n\n  function reqListener () {\n    if (el.title.endsWith(\".csv\")) {\n      iframe.setAttribute(\"srcdoc\", tblcss + csvToHtmlTable(this.responseText));\n    } else {\n      iframe.setAttribute(\"srcdoc\", this.responseText);\n    }\n    console.log(this.responseText);\n  }\n\n  const oReq = new XMLHttpRequest();\n  oReq.addEventListener(\"load\", reqListener);\n  oReq.open(\"GET\", el.title);\n  oReq.send();\n\n\n  //iframe.src = el.title;\n  const resultPane = document.querySelector(panelName + \"-pane\");\n  if (resultPane.classList.contains(\"hidden\")) {\n    resultPane.classList.remove(\"hidden\");\n  }\n}\nfunction closePanel(el) {\n  const panelName = \"#\" + el.getAttribute('paneName')\n  const resultPane = document.querySelector(panelName + \"-pane\");\n  if (!resultPane.classList.contains(\"hidden\")) {\n    resultPane.classList.add(\"hidden\");\n  }\n}\n\n</script>\n<div class=\"master-wrapper\">\n  <div class=\"block master-tbl\"><div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th>project</th>\n      <th>uid</th>\n      <th>iter</th>\n      <th>start</th>\n      <th>state</th>\n      <th>name</th>\n      <th>labels</th>\n      <th>inputs</th>\n      <th>parameters</th>\n      <th>results</th>\n      <th>artifacts</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <td>default</td>\n      <td><div title=\"d1384cb679bc4c178b0195d964b628a8\">...b628a8</div></td>\n      <td>0</td>\n      <td>Jul 16 14:14:01</td>\n      <td>completed</td>\n      <td>transcribe-transcribe</td>\n      <td><div class=\"dictlist\">kind=</div><div class=\"dictlist\">owner=Yonatan_Shelach</div><div class=\"dictlist\">host=M-QWXQJK77Q0</div></td>\n      <td></td>\n      <td><div class=\"dictlist\">model_name=tiny</div><div class=\"dictlist\">audio_files_directory=./data</div><div class=\"dictlist\">decoding_options={'fp16': False}</div><div class=\"dictlist\">output_directory=./output</div></td>\n      <td></td>\n      <td><div title=\"/var/folders/xj/f2mp2b75749cr74wj4wvcnm00000gp/T/tmpip3nl1vs/transcribe-transcribe/0/transcriptions.zip\">transcriptions</div><div title=\"/var/folders/xj/f2mp2b75749cr74wj4wvcnm00000gp/T/tmpip3nl1vs/transcribe-transcribe/0/transcriptions_df.parquet\">transcriptions_df</div><div title=\"/var/folders/xj/f2mp2b75749cr74wj4wvcnm00000gp/T/tmpip3nl1vs/transcribe-transcribe/0/transcriptions_errors.yaml\">transcriptions_errors</div></td>\n    </tr>\n  </tbody>\n</table>\n</div></div>\n  <div id=\"resultbf9845e1-pane\" class=\"right-pane block hidden\">\n    <div class=\"pane-header\">\n      <span id=\"resultbf9845e1-title\" class=\"pane-header-title\">Title</span>\n      <span onclick=\"closePanel(this)\" paneName=\"resultbf9845e1\" class=\"close clickable\">&times;</span>\n    </div>\n    <iframe class=\"fileview\" id=\"resultbf9845e1-body\"></iframe>\n  </div>\n</div>\n"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": "<IPython.core.display.HTML object>",
+      "text/html": "<b> > to track results use the .show() or .logs() methods </b>"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "> 2023-07-16 17:14:12,721 [info] Run execution finished: {'status': 'completed', 'name': 'transcribe-transcribe'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "transcribe_run = transcribe_fn.run(\n",
+    "    handler=\"transcribe\",\n",
+    "    params={\n",
+    "        \"model_name\": \"tiny\",\n",
+    "        \"input_path\": \"./data\",\n",
+    "        \"decoding_options\": {\"fp16\": False},\n",
+    "        \"output_directory\": \"./output\",\n",
+    "    },\n",
+    "    returns=[\n",
+    "        \"transcriptions: path\",\n",
+    "        \"transcriptions_df: dataset\",\n",
+    "        {\"key\": \"transcriptions_errors\", \"artifact_type\": \"file\", \"file_format\": \"yaml\"},\n",
+    "    ],\n",
+    "    local=True,\n",
+    "    artifact_path=artifact_path,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "407d1e6c-d2a4-42e7-b3e2-c51138cb30ea",
+   "metadata": {
+    "ExecuteTime": {
+     "start_time": "2023-07-16T17:14:12.726898Z",
+     "end_time": "2023-07-16T17:14:12.745521Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "{'transcriptions': 'store://artifacts/default/transcribe-transcribe_transcriptions:d1384cb679bc4c178b0195d964b628a8',\n 'transcriptions_df': 'store://artifacts/default/transcribe-transcribe_transcriptions_df:d1384cb679bc4c178b0195d964b628a8',\n 'transcriptions_errors': 'store://artifacts/default/transcribe-transcribe_transcriptions_errors:d1384cb679bc4c178b0195d964b628a8'}"
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "transcribe_run.outputs"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "**Notice**: If connected to mlrun server, you can simply use:\n",
+    "\n",
+    "```python\n",
+    "df = transcribe_run.artifact(\"transcriptions_df\")\n",
+    "```"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "outputs": [],
+   "source": [
+    "artifact_path += f\"/{transcribe_run.metadata.name}/{transcribe_run.metadata.iteration}/\""
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "start_time": "2023-07-16T17:14:12.730064Z",
+     "end_time": "2023-07-16T17:14:12.748292Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "outputs": [],
+   "source": [
+    "df = mlrun.get_dataitem(artifact_path + \"transcriptions_df.parquet\").as_df()"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "start_time": "2023-07-16T17:25:02.712455Z",
+     "end_time": "2023-07-16T17:25:02.719538Z"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "      audio_file transcription_file language     length  rate_of_speech\n0  speech_01.mp3      speech_01.txt       en   2.011333        3.480278\n1  speech_02.mp3      speech_02.txt       en  20.793500        2.548873",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>audio_file</th>\n      <th>transcription_file</th>\n      <th>language</th>\n      <th>length</th>\n      <th>rate_of_speech</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>speech_01.mp3</td>\n      <td>speech_01.txt</td>\n      <td>en</td>\n      <td>2.011333</td>\n      <td>3.480278</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>speech_02.mp3</td>\n      <td>speech_02.txt</td>\n      <td>en</td>\n      <td>20.793500</td>\n      <td>2.548873</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head()"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "start_time": "2023-07-16T17:25:07.878158Z",
+     "end_time": "2023-07-16T17:25:07.880514Z"
+    }
+   }
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "name": "python3",
+   "language": "python",
+   "display_name": "Python 3 (ipykernel)"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.16"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/functions/master/transcribe/1.1.0/src/transcribe.py b/functions/master/transcribe/1.1.0/src/transcribe.py
new file mode 100644
index 00000000..9cabcb1e
--- /dev/null
+++ b/functions/master/transcribe/1.1.0/src/transcribe.py
@@ -0,0 +1,1464 @@
+# Copyright 2024 Iguazio
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+import logging
+import operator
+import os
+import tempfile
+from functools import reduce, wraps
+from multiprocessing import Process, Queue
+from pathlib import Path
+from typing import Any, Dict, Generator, List, Literal, NamedTuple, Tuple, Union
+
+import pandas as pd
+import torch
+import torchaudio
+from tqdm import tqdm
+from transformers import (
+    AutomaticSpeechRecognitionPipeline,
+    AutoModelForCausalLM,
+    pipeline,
+)
+from transformers.utils import is_flash_attn_2_available
+
+
+class BaseTask:
+    """
+    A task to write the transcription to file.
+    """
+
+    def __init__(
+        self, audio_file: Path, transcription_output: Union[dict, str], text_file: Path
+    ):
+        """
+        Initialize the task.
+
+        :param audio_file:           Path to the audio file that was transcribed.
+        :param transcription_output: The transcription output from the pipeline. String means an exception was raised.
+        :param text_file:            Path to the text file to write the transcription to.
+        """
+        # Store the parameters:
+        self._audio_file = audio_file
+        self._transcription_output = transcription_output
+        self._text_file = text_file
+
+        # Prepare the error variable:
+        self._error: str = None
+
+    def do_task(self):
+        """
+        Try to perform the task storing an error if occurred.
+        """
+        if isinstance(self._transcription_output, str):
+            self._error = self._transcription_output
+            return
+        try:
+            self._do_task()
+        except Exception as exception:
+            self._error = str(exception)
+
+    def is_failed(self) -> bool:
+        """
+        Check if the task failed.
+
+        :returns: Whether the task failed.
+        """
+        return self._error is not None
+
+    def get_result(self) -> Tuple[str, str]:
+        """
+        Get the result of the task. If the task failed, the error will be returned, otherwise, the result will be the
+        text file name.
+
+        :returns: The task's result.
+        """
+        if self.is_failed():
+            return self._audio_file.name, self._error
+        return self._audio_file.name, self._text_file.name
+
+    def to_tuple(self) -> Tuple[str, dict]:
+        """
+        Convert the task to a tuple to reconstruct it later (used for multiprocessing to pass in queue).
+
+        :returns: The converted task.
+        """
+        return self.__class__.__name__, {
+            "audio_file": self._audio_file,
+            "transcription_output": self._transcription_output,
+            "text_file": self._text_file,
+        }
+
+    def _do_task(self):
+        """
+        Perform the task - write the transcription to the stored file path.
+        """
+        # Checking for no duplications:
+        i = 1
+        while self._text_file.exists():
+            i += 1
+            self._text_file = (
+                self._text_file.parent
+                / f"{self._text_file.stem.rsplit('_', 1)[0]}_{i}{self._text_file.suffix}"
+            )
+
+        # Make sure all directories are created:
+        self._text_file.parent.mkdir(exist_ok=True, parents=True)
+
+        # Write to file:
+        with open(self._text_file, "w") as fp:
+            fp.write(self._transcription_output["text"])
+
+
+class SpeechDiarizationTask(BaseTask):
+    """
+    A task to write the transcription to file with respect to a given speech diarization.
+    """
+
+    class _DiarizationSegment(NamedTuple):
+        """
+        A speech diarization segment.
+        """
+
+        start: float
+        end: float
+        speaker: str
+
+    class _WordTimestamp(NamedTuple):
+        """
+        A word with its start and end timestamps.
+        """
+
+        start: float
+        end: float
+        text: str
+
+    def __init__(
+        self,
+        audio_file: Path,
+        transcription_output: dict,
+        text_file: Path,
+        speech_diarization: List[Tuple[float, float, str]],
+    ):
+        """
+        Initialize the task.
+
+        :param audio_file:           Path to the audio file that was transcribed.
+        :param transcription_output: The transcription output from the pipeline.
+        :param text_file:            Path to the text file to write the transcription to.
+        :param speech_diarization:   A speech diarization as a list of tuples: (start, end, speaker).
+        """
+        super().__init__(
+            audio_file=audio_file,
+            transcription_output=transcription_output,
+            text_file=text_file,
+        )
+        self._speech_diarization = speech_diarization
+        self._segments: List[SpeechDiarizationTask._DiarizationSegment] = None
+        self._last_chosen_index = 0
+
+    def to_tuple(self) -> Tuple[str, dict]:
+        """
+        Convert the task to a tuple to reconstruct it later (used for multiprocessing to pass in queue).
+
+        :returns: The converted task.
+        """
+        task_class, task_kwargs = super().to_tuple()
+        return task_class, {
+            **task_kwargs,
+            "speech_diarization": self._speech_diarization,
+        }
+
+    def _do_task(self):
+        """
+        Perform the task - write the transcription to the stored file path with respect to the given speech diarization.
+        """
+        # Check if a speech diarization is given, if not, just write the transcription to file:
+        if not self._speech_diarization:
+            super()._do_task()
+            return
+
+        # Cast the chunks to word timestamps tuples:
+        words = [
+            SpeechDiarizationTask._WordTimestamp(
+                start=chunk["timestamp"][0],
+                end=chunk["timestamp"][1],
+                text=chunk["text"],
+            )
+            for chunk in self._transcription_output["chunks"]
+        ]
+
+        # Cast speech diarization to segments tuples:
+        self._segments = [
+            SpeechDiarizationTask._DiarizationSegment(*segment)
+            for segment in self._speech_diarization
+        ]
+
+        # Try to match the Whisper model predicted timestamps to the closest diarization segment (closest diarization
+        # segment will be the most overlapping with the word, and if there is no overlap, the closest segment to the
+        # word):
+        speaker = self._segments[self._last_chosen_index].speaker
+        text = f"{speaker}:"
+        for word in words:
+            # Get the next diarization segment:
+            self._get_next_segment(word=word)
+            # Check if the segment is of the same speaker:
+            if self._segments[self._last_chosen_index].speaker == speaker:
+                # Collect the word:
+                text += word.text
+            else:
+                # Append a newline and update the new speaker:
+                speaker = self._segments[self._last_chosen_index].speaker
+                text += f"\n{speaker}:{word.text}"
+
+        # Update the transcription output with the new text to write it to file:
+        self._transcription_output["text"] = text
+        super()._do_task()
+
+    def _get_next_segment(
+        self,
+        word: _WordTimestamp,
+    ):
+        """
+        Get the next diarization segment the given word falls into. The `self._last_chosen_index` will be updated
+        accordingly.
+
+        :param word: The word timestamp to match to the next segment.
+        """
+        # If the last chosen segment is the last segment, return it:
+        if self._last_chosen_index == len(self._segments) - 1:
+            return
+
+        # Get the last chosen diarization segment:
+        last_chosen = self._segments[self._last_chosen_index]
+
+        # None value may appear if the word is the last word in the audio file, or it was split during inference. In
+        # that case, we'll set the last segment:
+        if word.end is None:
+            self._last_chosen_index = len(self._segments) - 1
+            return
+
+        # If the word ends before the last chosen segment:
+        if word.end <= last_chosen.start:
+            # Then it is still the closest segment
+            return
+
+        # We check if it ends inside the last chosen segment:
+        if word.end < last_chosen.end:
+            # Then it still is the closest segment
+            return
+
+        # The word ends after the segment, we need to collect all next segments up until the word ends before them:
+        possible_segments = [self._last_chosen_index]
+        for i in range(self._last_chosen_index + 1, len(self._segments)):
+            if word.end > self._segments[i].end:
+                possible_segments.append(i)
+                continue
+            possible_segments.append(i)
+            break
+
+        # Check for the most overlapping option:
+        best_overlap = 0
+        most_overlapping_segment_index = None
+        for i in possible_segments:
+            # If the word starts before segment:
+            if word.start <= self._segments[i].start:
+                # If it ends before the segment, there is an overlap from the start of the segment to the end of the
+                # word:
+                if word.end < self._segments[i].end:
+                    overlap = word.end - self._segments[i].start
+                else:
+                    # The word is wrapping the segment, the overlap is the segment's length:
+                    overlap = self._segments[i].end - self._segments[i].start
+            # The word starts in segment, check if the word ends in it:
+            elif word.end < self._segments[i].end:
+                # The overlap is the word's length:
+                overlap = word.end - word.start
+            # The word start in segment but ends after it, the overlap is from the word's start to the segment's end:
+            else:
+                overlap = self._segments[i].end - word.start
+            # Check for new best overlap:
+            if overlap > best_overlap:
+                best_overlap = overlap
+                most_overlapping_segment_index = i
+        if most_overlapping_segment_index is not None:
+            self._last_chosen_index = most_overlapping_segment_index
+            return
+
+        # If there is no overlapping segment, return the closest segment:
+        best_distance = None
+        closest_segment_index = None
+        for i in possible_segments:
+            distance = (
+                word.start - self._segments[i].end
+                if word.start > self._segments[i].end
+                else self._segments[i].start - word.end
+            )
+            if best_distance is None or distance < best_distance:
+                best_distance = distance
+                closest_segment_index = i
+        self._last_chosen_index = closest_segment_index
+
+
+class SpeechDiarizationPerChannelTask(BaseTask):
+    """
+    A task to write the transcription to file with respect to a given speech diarization per channel.
+    """
+
+    class _WordTimestamp(NamedTuple):
+        """
+        A word with its start and end timestamps and speaker label (channel the word was taken from).
+        """
+
+        start: float
+        end: float
+        speaker: str
+        text: str
+
+    def __init__(self, audio_file: Path, text_file: Path):
+        """
+        Initialize the task.
+
+        :param audio_file: Path to the audio file that was transcribed.
+        :param text_file:  Path to the text file to write the transcription to.
+        """
+        super().__init__(
+            audio_file=audio_file, transcription_output={}, text_file=text_file
+        )
+        self._transcription_output_channels: List[Tuple[str, dict]] = []
+
+    @property
+    def transcription_output_channels(self) -> List[Tuple[str, dict]]:
+        """
+        Get the transcription output channels.
+
+        :returns: The transcription output channels.
+        """
+        return self._transcription_output_channels
+
+    def do_task(self):
+        """
+        Try to perform the task storing an error if occurred.
+        """
+        for _, channel_output in self._transcription_output_channels:
+            if isinstance(channel_output, str):
+                self._error = self._transcription_output_channels
+                return
+        super().do_task()
+
+    def to_tuple(self) -> Tuple[str, dict]:
+        """
+        Convert the task to a tuple to reconstruct it later (used for multiprocessing to pass in queue).
+
+        :returns: The converted task.
+        """
+        task_class, task_kwargs = super().to_tuple()
+        task_kwargs.pop("transcription_output")
+        return task_class, task_kwargs
+
+    def _do_task(self):
+        """
+        Perform the task - write the transcription to the stored file path with respect to the given speech diarization
+        per channel.
+        """
+        # Cast the chunks to word timestamps tuples:
+        words_per_channel = [
+            [
+                SpeechDiarizationPerChannelTask._WordTimestamp(
+                    start=chunk["timestamp"][0],
+                    end=chunk["timestamp"][1],
+                    speaker=speaker,
+                    text=chunk["text"],
+                )
+                for chunk in output["chunks"]
+            ]
+            for speaker, output in self._transcription_output_channels
+        ]
+
+        # Merge and sort the words per channel by their start time:
+        words = operator.add(*words_per_channel)
+        words.sort()
+
+        # Write the transcription to file:
+        current_speaker = words[0].speaker
+        text = f"{current_speaker}:"
+        for word in words:
+            # Check if the word's speaker is different from the current one:
+            if word.speaker != current_speaker:
+                # Append a newline and update the new speaker:
+                current_speaker = word.speaker
+                text += f"\n{current_speaker}:"
+            # Collect the word:
+            text += word.text
+
+        # Update the transcription output with the new text to write it to file:
+        self._transcription_output["text"] = text
+        super()._do_task()
+
+
+class BatchProcessor:
+    """
+    A batch processor to process batches of transcriptions. The batch processor is creating tasks and is aimed to be
+    working along the transcriber. It can be used with multiprocessing queue or run the tasks directly using the
+    associated methods.
+    """
+
+    def __init__(self, audio_files: List[Path], output_directory: Path):
+        """
+        Initialize the batch processor.
+
+        :param audio_files:      The list of all audio files to transcribe.
+        :param output_directory: The output directory to write the transcriptions to.
+        """
+        # Store the parameters:
+        self._audio_files = audio_files
+        self._output_directory = output_directory
+
+        # Prepare the batching variables:
+        self._current_file_index = 0
+        self._tasks: List[BaseTask] = []
+        self._results: List[Tuple[bool, Tuple[str, str]]] = []
+
+    def process_batch(self, batch: List[Union[dict, str]]):
+        """
+        Process a batch of transcriptions. Tasks related to the given batch will be created and stored in the batch
+        processor.
+
+        :param batch: The batch of transcriptions to process.
+        """
+        # Get the relevant files belongs to the given batch:
+        current_files = self._get_current_files(batch_size=len(batch))
+
+        # Build the diarization tasks:
+        self._tasks.extend(
+            [
+                BaseTask(
+                    audio_file=file,
+                    transcription_output=batch[i],
+                    text_file=self._output_directory / f"{file.stem}.txt",
+                )
+                for i, file in enumerate(current_files)
+            ]
+        )
+
+    def get_tasks(self) -> List[BaseTask]:
+        """
+        Get the tasks to perform.
+
+        :returns: The tasks to perform.
+        """
+        tasks = self._tasks
+        self._tasks = []
+        return tasks
+
+    def do_tasks(self):
+        """
+        Perform the tasks. Should be used if no multiprocessing queue is given to a transcriber.
+        """
+        for task in self.get_tasks():
+            task.do_task()
+            self._results.append((task.is_failed(), task.get_result()))
+
+    def get_results(self) -> List[Tuple[bool, Tuple[str, str]]]:
+        """
+        Get the results of the tasks. The stored results are then cleared.
+
+        :returns: The results of the tasks.
+        """
+        results = self._results
+        self._results = []
+        return results
+
+    def _get_current_files(self, batch_size: int) -> List[Path]:
+        """
+        Get the current files to process.
+
+        :param batch_size: The batch size to progress the current file index.
+
+        :returns: The current files to process.
+        """
+        end_index = (
+            self._current_file_index + batch_size
+            if self._current_file_index + batch_size < len(self._audio_files)
+            else len(self._audio_files)
+        )
+        current_files = self._audio_files[self._current_file_index : end_index]
+        self._current_file_index = end_index
+        return current_files
+
+
+class SpeechDiarizationBatchProcessor(BatchProcessor):
+    """
+    A batch processor to process batches of transcriptions with respect to a given speech diarization. The batch
+    processor is creating tasks and is aimed to be working along the transcriber. It can be used with multiprocessing
+    queue or run the tasks directly using the associated methods.
+    """
+
+    def __init__(
+        self, audio_files: List[Path], output_directory: Path, speech_diarization: dict
+    ):
+        """
+        Initialize the batch processor.
+
+        :param audio_files:        The list of all audio files to transcribe.
+        :param output_directory:   The output directory to write the transcriptions to.
+        :param speech_diarization: A speech diarization dictionary to pass along with each processed batch.
+        """
+        super().__init__(audio_files=audio_files, output_directory=output_directory)
+        self._speech_diarization = speech_diarization
+        self._audio_files = audio_files
+
+    def process_batch(self, batch: List[dict]):
+        """
+        Process a batch of transcriptions. Tasks related to the given batch will be created and stored in the batch
+        processor.
+
+        :param batch: The batch of transcriptions to process.
+        """
+        # Get the relevant files belongs to the given batch:
+        current_files = self._get_current_files(batch_size=len(batch))
+
+        # Build the diarization tasks:
+        self._tasks.extend(
+            [
+                SpeechDiarizationTask(
+                    audio_file=file,
+                    transcription_output=batch[i],
+                    text_file=self._output_directory / f"{file.stem}.txt",
+                    speech_diarization=self._speech_diarization.get(file.name),
+                )
+                for i, file in enumerate(current_files)
+            ]
+        )
+
+
+class PerChannelSpeechDiarizationBatchProcessor(BatchProcessor):
+    """
+    A batch processor to process batches of transcriptions per channel. The batch processor is creating tasks with the
+    selected amount of channels given and is aimed to be working along the transcriber. It can be used with
+    multiprocessing queue or run the tasks directly using the associated methods.
+    """
+
+    def __init__(
+        self,
+        audio_files: List[Path],
+        output_directory: Path,
+        n_channels: int,
+        speakers: List[str],
+    ):
+        """
+        Initialize the batch processor.
+
+        :param audio_files:      The list of all audio files to transcribe.
+        :param output_directory: The output directory to write the transcriptions to.
+        :param n_channels:       The number of channels in each audio file to transcribe.
+        :param speakers:         The speakers labels to use for each channel.
+        """
+        super().__init__(audio_files=audio_files, output_directory=output_directory)
+
+        # Store the parameters:
+        self._n_channels = n_channels
+        self._speakers = speakers
+
+        # Prepare a channel buffer to store the channels until the current task created is fully covered:
+        self._task_in_process: SpeechDiarizationPerChannelTask = None
+
+    def process_batch(self, batch: List[dict]):
+        """
+        Process a batch of transcriptions. Tasks related to the given batch will be created and stored in the batch
+        processor.
+
+        :param batch: The batch of transcriptions to process.
+        """
+        # Go over the batch and create the tasks:
+        for output in batch:
+            # Check if there is a task in process:
+            if not self._task_in_process:
+                # Create a new task:
+                self._task_in_process = SpeechDiarizationPerChannelTask(
+                    audio_file=self._audio_files[self._current_file_index],
+                    text_file=self._output_directory
+                    / f"{self._audio_files[self._current_file_index].stem}.txt",
+                )
+            # Get the channel's speaker:
+            speaker = self._speakers[
+                len(self._task_in_process.transcription_output_channels)
+            ]
+            # Collect the channel into the processed task:
+            self._task_in_process.transcription_output_channels.append(
+                (speaker, output)
+            )
+            # Check if the task is fully covered (all channels are collected):
+            if (
+                len(self._task_in_process.transcription_output_channels)
+                == self._n_channels
+            ):
+                # Collect the task and reset the task in process:
+                self._tasks.append(self._task_in_process)
+                self._current_file_index += 1
+                self._task_in_process = None
+
+
+class Transcriber:
+    """
+    A transcription wrapper for the Huggingface's ASR pipeline -
+    https://huggingface.co/transformers/main_classes/pipelines.html#transformers.AutomaticSpeechRecognitionPipeline to
+    use with OpenAI's Whisper models - https://huggingface.co/openai.
+    """
+
+    def __init__(
+        self,
+        model_name: str,
+        device: str = None,
+        use_flash_attention_2: bool = None,
+        use_better_transformers: bool = None,
+        assistant_model: str = None,
+        max_new_tokens: int = 128,
+        chunk_length_s: int = 30,
+        batch_size: int = 2,
+        spoken_language: str = None,
+        translate_to_english: bool = False,
+        return_timestamps: Union[bool, Literal["word"]] = False,
+        per_channel_transcription: int = 0,
+    ):
+        """
+        Initialize the transcriber.
+
+        :param model_name:                The model name to use. Should be a model from the OpenAI's Whisper models for
+                                          best results (for example "tiny", "base", "large", etc.).
+        :param device:                    The device to use for inference. If not given, will use GPU if available.
+        :param use_flash_attention_2:     Whether to use the Flash Attention 2 implementation. It can be used only with
+                                          one of the following GPUs: Nvidia H series and Nvidia A series. T4 support
+                                          will be available soon.
+
+                                          Note: If both `use_flash_attention_2` and
+                                          `use_better_transformers` are `None`, the optimization will be chosen
+                                          automatically according to the available resources.
+
+        :param use_better_transformers:   Whether to use the Better Transformers library to further optimize the model.
+                                          Should be used for all use cases that do not support flash attention 2.
+
+                                          Note: If both `use_flash_attention_2` and `use_better_transformers` are
+                                          `None`, the optimization will be chosen automatically according to the
+                                          available resources.
+       :param assistant_model:           The assistant model name to use for inference. Notice that the optimizations
+                                          (flash attention 2 and better transformers) will be applied for the assistant
+                                          as well. Should be a model from Huggingface's distil-whisper (see here for
+                                          more information: https://github.com/huggingface/distil-whisper).
+        :param max_new_tokens:            The maximum number of new tokens to generate. This is used to limit the
+                                          generation length. Default is 128 tokens.
+        :param chunk_length_s:            The audio chunk to split the audio to (in seconds). Default is 30 seconds.
+        :param batch_size:                The batch size to use for inference. Default is 2.
+        :param spoken_language:           Aim whisper to know what language is spoken. If None, it will try to detect it
+                                          for each chunk.
+        :param translate_to_english:      Whether to translate the transcriptions to English. Default is False.
+        :param return_timestamps:         Whether to return the timestamps of the words. If "word", will return the
+                                          timestamps of each word. If True will return the timestamps of each chunk.
+                                          Default is False. Aimed to be used for speech diarization.
+        :param per_channel_transcription: Whether to do per channel transcription. If needed to run per channel
+                                          transcription, pass the number of channels expected for each audio file here.
+                                          0 means regular transcription (merge channels).
+
+                                          Note: If `per_channel_transcription` is not 0, `batch_size` must be treated to
+                                          be the number of channels and not audio files. Aimed to be used for per
+                                          channel speech diarization.
+        """
+        # Store loading parameters:
+        self._model_name = model_name
+        self._device = device
+        self._use_flash_attention_2 = use_flash_attention_2
+        self._use_better_transformers = use_better_transformers
+        self._max_new_tokens = max_new_tokens
+        self._chunk_length_s = chunk_length_s
+        self._batch_size = batch_size
+        self._return_timestamps = return_timestamps
+        self._per_channel_transcription = per_channel_transcription
+
+        # Store generation parameters:
+        self._assistant_model = assistant_model
+        self._spoken_language = spoken_language
+        self._translate_to_english = translate_to_english
+
+        # Prepare the transcription objects:
+        self._transcription_pipeline: AutomaticSpeechRecognitionPipeline = None
+        self._generate_kwargs: dict = None
+
+    def load(self):
+        """
+        Load the transcriber. Must be called before transcribing.
+        """
+        # Set the device and data type to use (prefer GPU if available):
+        device = torch.device(
+            self._device or "cuda" if torch.cuda.is_available() else "cpu"
+        )
+        torch_dtype = torch.float16 if device.type == "cuda" else torch.float32
+
+        # Choose the optimization to use (in case the user did not specify any):
+        if (
+            self._use_flash_attention_2 is None
+            and self._use_better_transformers is None
+        ):
+            # Prefer to use flash attention 2 if available and cuda device is supported (see GPU names to architecture
+            # here: https://en.wikipedia.org/wiki/List_of_Nvidia_graphics_processing_units#Tesla):
+            if device.type == "cuda" and is_flash_attn_2_available():
+                cuda_device_name = torch.cuda.get_device_properties(device).name
+                if any(
+                    cuda_device_name.startswith(gpu_name)
+                    for gpu_name in [
+                        "NVIDIA A",  # For Ampere architecture (e.g. A10, A30, A100)
+                        "NVIDIA H",  # For Hopper architecture (e.g. H100)
+                        "NVIDIA L",  # For Ada Lovelace architecture (e.g. L4, L40)
+                        "NVIDIA RTX 30",  # For Ada Lovelace architecture (RTX 30 series)
+                        "NVIDIA RTX 40",  # For Ada Lovelace architecture (RTX 40 series)
+                        "NVIDIA RTX 50",  # For Ada Lovelace architecture (RTX 50 series)
+                        # Will be supported soon according to FlashAttention GitHub repo:
+                        # https://github.com/Dao-AILab/flash-attention?tab=readme-ov-file#installation-and-features
+                        # "NVIDIA T4",  # For Turing architecture (only T4)
+                        # "NVIDIA RTX 20",  # For Turing architecture (RTX 20 series)
+                    ]
+                ):
+                    self._use_flash_attention_2 = True
+                else:
+                    self._use_better_transformers = True
+            else:
+                self._use_better_transformers = True
+
+        # Build the optimizations kwargs:
+        model_kwargs = {
+            "low_cpu_mem_usage": True,
+            "use_safetensors": True,
+        }
+        if self._use_flash_attention_2:
+            if _LOGGER:
+                _LOGGER.info(
+                    "Using FlashAttention2 optimization - make sure the `flash-attn` package is installed via "
+                    "`pip install -U flash-attn --no-build-isolation`"
+                )
+            model_kwargs["attn_implementation"] = "flash_attention_2"
+        elif self._use_better_transformers:
+            if _LOGGER:
+                _LOGGER.info(
+                    "Using BetterTransformers optimization - make sure the `optimum` package is installed via "
+                    "`pip install -U optimum`"
+                )
+            model_kwargs["attn_implementation"] = "sdpa"
+
+        # Initialize the speech recognition pipeline:
+        self._transcription_pipeline = pipeline(
+            task="automatic-speech-recognition",
+            model=self._model_name,
+            model_kwargs=model_kwargs.copy(),
+            batch_size=self._batch_size,
+            max_new_tokens=self._max_new_tokens,
+            chunk_length_s=self._chunk_length_s,
+            return_timestamps=self._return_timestamps,
+            torch_dtype=torch_dtype,
+            device=device,
+        )
+
+        # Prepare the generation kwargs:
+        self._generate_kwargs = {
+            "language": self._spoken_language,
+            "task": "translate" if self._translate_to_english else "transcribe",
+        }
+
+        # Initialize the assistant model (if needed):
+        if self._assistant_model:
+            assistant_model = AutoModelForCausalLM.from_pretrained(
+                self._assistant_model, torch_dtype=torch_dtype, **model_kwargs
+            )
+            assistant_model.to(device)
+            self._generate_kwargs["assistant_model"] = assistant_model
+
+    def transcribe(
+        self,
+        audio_files: List[Path],
+        batch_processor: BatchProcessor = None,
+        batches_queue: Queue = None,
+        verbose: bool = False,
+    ) -> Union[List[List[dict]], None]:
+        """
+        Transcribe the given audio files. The transcriptions will be sent to a queue or a batch processor for further
+        processing like writing to text files. If no queue or batch processor is given, the transcriptions outputs from
+        the pipeline will be returned. Otherwise, `None` is returned.
+
+        :param audio_files:     The audio files to transcribe.
+        :param batch_processor: A batch processor.
+        :param batches_queue:   A multiprocessing queue to put the batches in.
+        :param verbose:         Whether to show a progress bar. Default is False.
+
+        :returns: The transcriptions outputs from the pipeline if no queue or batch processor is given, otherwise,
+                  `None`.
+        """
+        # Wrap the audio files with a function to iterate over them via a generator (save memory and runtime with
+        # Huggingface's pipelines as they preload each input while inference is running):
+        def audio_iterator() -> Generator[Union[dict, str], None, None]:
+            if self._per_channel_transcription:
+                for audio_file in audio_files:
+                    audio, sampling_rate = torchaudio.load(str(audio_file))
+                    audio = audio.numpy()
+                    for channel in audio:
+                        yield {"raw": channel, "sampling_rate": sampling_rate}
+            else:
+                for audio_file in audio_files:
+                    yield str(audio_file)
+
+        # Create a batch iterator:
+        def batch_iterator() -> Generator[List[Union[dict, str]], None, None]:
+            batch = []
+            for audio in audio_iterator():
+                batch.append(audio)
+                if len(batch) == self._batch_size:
+                    yield batch
+                    batch = []
+            if batch:
+                yield batch
+
+        # Prepare the successes dataframe and errors dictionary to be returned:
+        outputs = []
+
+        # Infer through the pipeline:
+        for input_batch in tqdm(
+            batch_iterator() if self._batch_size > 1 else audio_iterator(),
+            desc="Transcribing",
+            unit="channel" if self._per_channel_transcription else "audio file",
+            total=(
+                (
+                    (len(audio_files) // self._batch_size)
+                    + (len(audio_files) % self._batch_size != 0)
+                )
+                * (self._per_channel_transcription or 1)
+            ),
+            disable=not verbose,
+        ):
+            # Infer:
+            try:
+                output_batch = self._transcription_pipeline(
+                    input_batch,
+                    generate_kwargs=self._generate_kwargs,
+                )
+            except Exception as exception:
+                # Collect the exception:
+                output_batch = str(exception)
+                # Align to batch size:
+                output_batch = (
+                    [output_batch] * len(input_batch)
+                    if isinstance(input_batch, list)
+                    else [output_batch]
+                )
+            # To align with batching, if batch size is 1, wrap the output with a list:
+            if isinstance(output_batch, dict):
+                output_batch = [output_batch]
+            # If a batch processor is given, process the batch:
+            if batch_processor:
+                # Process it directly:
+                batch_processor.process_batch(batch=output_batch)
+                batch_processor.do_tasks()
+            elif batches_queue:
+                # Otherwise, queue the batch:
+                batches_queue.put(output_batch)
+            else:
+                # Otherwise, collect the output as is without processing:
+                outputs.append(output_batch)
+
+        # Check if given a multiprocessing queue or a batch processor:
+        if batches_queue:
+            batches_queue.put(_MULTIPROCESSING_STOP_MARK)
+
+        return outputs if not batch_processor else None
+
+
+#: The value to send into multiprocessing queues to stop the process:
+_MULTIPROCESSING_STOP_MARK = "STOP"
+
+
+def _multiprocessing_process_batches(
+    batch_processor: BatchProcessor,
+    batches_queue: Queue,
+    tasks_queue: Queue,
+    n_task_completers: int,
+):
+    """
+    Process the batches in the given batches queue and put the tasks in the given tasks queue. The function will stop
+    when the given batches queue will receive the stop mark. It is aimed to be used with multiprocessing as a process.
+
+    :param batch_processor:   A batch processor to process the batches.
+    :param batches_queue:     A queue to get the batches from.
+    :param tasks_queue:       A queue to put the tasks in.
+    :param n_task_completers: The number of task completers (processes that run the `_multiprocessing_complete_tasks`
+                              function). A stop mark will be sent to the tasks queue for each task completer.
+    """
+    while True:
+        # Get the batch:
+        batch: List[dict] = batches_queue.get()
+        if batch == _MULTIPROCESSING_STOP_MARK:
+            break
+
+        # Process the batch:
+        batch_processor.process_batch(batch=batch)
+
+        # Get the tasks:
+        tasks = batch_processor.get_tasks()
+
+        # Queue the tasks:
+        for task in tasks:
+            tasks_queue.put(task.to_tuple())
+
+    # Mark the end of the batches:
+    for _ in range(n_task_completers):
+        tasks_queue.put(_MULTIPROCESSING_STOP_MARK)
+
+
+def _multiprocessing_complete_tasks(tasks_queue: Queue, results_queue: Queue):
+    """
+    Complete the tasks in the given queue and put the results in the given results queue. The function will stop when
+    the given tasks queue will receive the stop mark. It is aimed to be used with multiprocessing as a process.
+
+    :param tasks_queue:   A queue to get the tasks from.
+    :param results_queue: A queue to put the results in.
+    """
+    tasks_map = {
+        BaseTask.__name__: BaseTask,
+        SpeechDiarizationTask.__name__: SpeechDiarizationTask,
+        SpeechDiarizationPerChannelTask.__name__: SpeechDiarizationPerChannelTask,
+    }
+
+    while True:
+        # Get the task:
+        task = tasks_queue.get()
+        if task == _MULTIPROCESSING_STOP_MARK:
+            break
+
+        # Reconstruct the task:
+        task_class, task_kwargs = task
+        task = tasks_map[task_class](**task_kwargs)
+
+        # Complete the task:
+        task.do_task()
+        results_queue.put((task.is_failed(), task.get_result()))
+
+    # Mark the end of the tasks:
+    results_queue.put(_MULTIPROCESSING_STOP_MARK)
+
+
+# Get the global logger:
+_LOGGER = logging.getLogger()
+
+
+def open_mpi_handler(
+    worker_inputs: List[str], root_worker_inputs: Dict[str, Any] = None
+):
+    global _LOGGER
+
+    # Check for MLRun and OpenMPI availability:
+    context, comm = _check_mlrun_and_open_mpi()
+
+    # Check if MLRun is available, set the global logger to MLRun's:
+    if context:
+        _LOGGER = context.logger
+
+    def decorator(handler):
+        if comm is None or comm.Get_size() == 1:
+            return handler
+
+        @wraps(handler)
+        def wrapper(**kwargs):
+            # Get the open mpi environment properties:
+            size = comm.Get_size()
+            rank = comm.Get_rank()
+
+            # Give the correct chunk of the workers inputs:
+            for worker_input in worker_inputs:
+                input_argument = kwargs[worker_input]
+                if input_argument is None:
+                    continue
+                if isinstance(input_argument, str):
+                    input_argument = _get_audio_files(
+                        data_path=Path(input_argument).absolute()
+                    )
+                if len(input_argument) < size:
+                    raise ValueError(
+                        f"Cannot split the input '{worker_input}' of length {len(input_argument)} to {size} workers. "
+                        f"Please reduce the amount of workers for this input."
+                    )
+                even_chunk_size = len(input_argument) // size
+                chunk_start = rank * even_chunk_size
+                chunk_end = (
+                    (rank + 1) * even_chunk_size
+                    if rank + 1 < size
+                    else len(input_argument)
+                )
+                context.logger.info(
+                    f"Rank #{rank}: Processing input chunk of '{worker_input}' "
+                    f"from index {chunk_start} to {chunk_end}."
+                )
+                if isinstance(input_argument, list):
+                    input_argument = input_argument[chunk_start:chunk_end]
+                elif isinstance(input_argument, pd.DataFrame):
+                    input_argument = input_argument.iloc[chunk_start:chunk_end:, :]
+                kwargs[worker_input] = input_argument
+
+            # Set the root worker only arguments:
+            if rank == 0 and root_worker_inputs:
+                kwargs.update(root_worker_inputs)
+
+            # Run the worker:
+            output = handler(**kwargs)
+
+            # Save the output directory of this worker:
+            output_directory = Path(output[0])
+
+            # Send the output to the root rank (rank #0):
+            output = comm.gather(output, root=0)
+
+            # Join the data from all workers:
+            if rank == 0:
+                context.logger.info("Collecting data from workers to root worker.")
+
+                # Check if there are different output directories:
+                output_directories = set([Path(out_dir) for out_dir, _, _ in output])
+                for r in range(1, size):
+                    # True means the other workers should pass their files to the root worker (rank 0):
+                    comm.send(len(output_directories) != 1, dest=r)
+
+                # If there are different output directories, listen to the other workers:
+                if len(output_directories) != 1:
+                    # Collect the files from the other workers:
+                    files = []
+                    for r in range(1, size):
+                        files.extend(comm.recv(source=r))
+                    # Write the files to the root worker's output directory:
+                    for file_name, file_content in files:
+                        with open(output_directory / file_name, "w") as f:
+                            f.write(file_content)
+
+                # Concatenate the dataframes:
+                dataframe = pd.concat(objs=[df for _, df, _ in output], axis=0)
+
+                # Concatenate the errors dictionaries:
+                errors_dictionary = reduce(
+                    operator.ior, [err for _, _, err in output], {}
+                )
+
+                return str(output_directory), dataframe, errors_dictionary
+
+            # Listen to rank 0 to see if there are different output directories and this rank need to send its files to
+            # it:
+            if comm.recv(source=0):
+                files = []
+                for file in os.listdir(output_directory):
+                    with open(output_directory / file, "r") as f:
+                        files.append((file, f.read()))
+                comm.send(files, dest=0)
+            return None
+
+        return wrapper
+
+    return decorator
+
+
+def _check_mlrun_and_open_mpi() -> Tuple["mlrun.MLClientCtx", "mpi4py.MPI.Intracomm"]:
+    is_mpi = False
+    try:
+        import mlrun
+
+        context = mlrun.get_or_create_ctx(name="mlrun")
+        is_mpi = context.labels.get("kind", "job") == "mpijob"
+
+        if is_mpi:
+            try:
+                from mpi4py import MPI
+
+                return context, MPI.COMM_WORLD
+            except ModuleNotFoundError as mpi4py_not_found:
+                context.logger.error(
+                    "To distribute the function using MLRun's 'mpijob' you need to have `mpi4py` package in your "
+                    "interpreter. Please run `pip install mpi4py` and make sure you have open-mpi."
+                )
+                raise mpi4py_not_found
+        else:
+            return context, None
+    except ModuleNotFoundError as module_not_found:
+        if is_mpi:
+            raise module_not_found
+    return None, None
+
+
+@open_mpi_handler(worker_inputs=["data_path"], root_worker_inputs={"verbose": True})
+def transcribe(
+    # Input / Output kwargs:
+    data_path: Union[str, Path, List[Union[str, Path]]],
+    output_directory: str = None,
+    # Model loading kwargs:
+    model_name: str = "openai/whisper-tiny",
+    device: str = None,
+    use_flash_attention_2: bool = None,
+    use_better_transformers: bool = None,
+    # Generation kwargs:
+    assistant_model: str = None,
+    max_new_tokens: int = 128,
+    chunk_length_s: int = 30,
+    batch_size: int = 8,
+    spoken_language: str = None,
+    translate_to_english: bool = False,
+    # Diarization kwargs:
+    speech_diarization: Dict[str, List[Tuple[float, float, str]]] = None,
+    speech_diarize_per_channel: int = None,
+    speaker_labels: List[str] = None,
+    # Other kwargs:
+    use_multiprocessing: Union[bool, int] = False,
+    verbose: bool = False,
+):
+    """
+    Transcribe audio files into text files and collect additional data. The end result is a directory of transcribed
+    text files and a dataframe containing the following columns:
+
+    * audio_file - The audio file path.
+    * transcription_file - The transcribed text file name in the output directory.
+
+    The transcription is based on Huggingface's ASR pipeline -
+    https://huggingface.co/transformers/main_classes/pipelines.html#transformers.AutomaticSpeechRecognitionPipeline and
+    is tested with OpenAI's Whisper models - https://huggingface.co/openai.
+
+    If one of the speaker diarization parameters are given (either `speech_diarization` or
+    `speech_diarize_per_channel`), the transcription will be written in a conversation format, where each speaker will
+    be written in a separate line::
+
+        speaker_1: text
+        speaker_2: text
+        speaker_1: text
+        ...
+
+    :param data_path:                  A directory of audio files or a single file or a list of files to transcribe.
+    :param output_directory:           Path to a directory to save all transcribed audio files. If not given, will save
+                                       the transcribed files in a temporary directory.
+    :param model_name:                 The model name to use. Should be a model from the OpenAI's Whisper models for
+                                       best results (for example "tiny", "base", "large", etc.). See here for more
+                                       information: https://huggingface.co/openai?search_models=whisper.
+    :param device:                     The device to use for inference. If not given, will use GPU if available.
+    :param use_flash_attention_2:      Whether to use the Flash Attention 2 implementation. It can be used only with
+                                       one of the following GPUs: Nvidia H series and Nvidia A series. T4 support
+                                       will be available soon.
+
+                                       Note: If both `use_flash_attention_2` and
+                                       `use_better_transformers` are `None`, the optimization will be chosen
+                                       automatically according to the available resources.
+
+    :param use_better_transformers:    Whether to use the Better Transformers library to further optimize the model.
+                                       Should be used for all use cases that do not support flash attention 2.
+
+                                       Note: If both `use_flash_attention_2` and `use_better_transformers` are
+                                       `None`, the optimization will be chosen automatically according to the
+                                       available resources.
+    :param assistant_model:            The assistant model name to use for inference. Notice that the optimizations
+                                       (flash attention 2 and better transformers) will be applied for the assistant as
+                                       well. Should be a model from Huggingface's distil-whisper (see here for more
+                                       information: https://github.com/huggingface/distil-whisper).
+
+                                       Note: Currently an assistant model is only usable with batch size of 1.
+    :param max_new_tokens:             The maximum number of new tokens to generate. This is used to limit the
+                                       generation length. Default is 128 tokens.
+    :param chunk_length_s:             The audio chunk to split the audio to (in seconds). Default is 30 seconds.
+    :param batch_size:                 The batch size to use for inference. Default is 2.
+    :param spoken_language:            Aim whisper to know what language is spoken. If None, it will try to detect
+                                       it.
+    :param translate_to_english:       Whether to translate the transcriptions to English.
+    :param speech_diarization:         A speech diarization dictionary with the file names to transcribe as keys and
+                                       their diarization as value. The diarization is a list of tuples:
+                                       (start, end, speaker). An example
+                                       for a diarization dictionary::
+
+                                       {
+                                           "audio_file_name": [
+                                               {
+                                                   "start": 0.0,
+                                                   "end": 2.0,
+                                                   "speaker": "Agent",
+                                               },
+                                               {
+                                                   "start": 2.0,
+                                                   "end": 4.0,
+                                                   "speaker": "Client",
+                                               },
+                                               ...
+                                           ],
+                                           ...
+                                       }
+
+                                       Note: The diarization must be for the entire duration of the audio file (as long
+                                       as Whisper is predicting words up until then.
+    :param speech_diarize_per_channel: Perform speech diarization per channel. Each speaker is expected to belong to
+                                       a separate channel in the audio. Notice: This will make the transcription
+                                       slower as each channel wil be transcribed separatly. If a speech diarization
+                                       is passed (via the `speech_diarization` parameter), this parameter is
+                                       ignored.
+    :param speaker_labels:             A list of speaker labels by channel order to use for writing the
+                                       transcription with respect to per channel speech diarization. This won't be
+                                       used together with a given speech diarization (via the `speech_diarization`
+                                       parameter).
+    :param use_multiprocessing:        Whether to use multiprocessing to transcribe the audio files. Can be either a
+                                       boolean value or an integer. If `True`, will use the default amount of workers
+                                       (3): 1 for transcription, 1 for batch processing and 1 for task completion (such
+                                       as speech diarization and writing to files). To control the amount of tasks
+                                       completion workers, an integer can be provided to specify the amount of workers.
+                                       `False`, will use a single process. Default is `False`.
+    :param verbose:                    Whether to print the progress of the transcription. Default is `False`.
+    """
+    global _LOGGER
+
+    # Get the input audio files to transcribe:
+    if verbose:
+        _LOGGER.info("Collecting audio files.")
+    audio_files = _get_audio_files(data_path=data_path)
+    if verbose:
+        _LOGGER.info(f"Collected {len(audio_files)} audio files.")
+
+    # Get the output directory:
+    if output_directory is None:
+        if verbose:
+            _LOGGER.info("No output directory given, using temporary directory.")
+        output_directory = tempfile.mkdtemp()
+    output_directory = Path(output_directory).absolute()
+    output_directory.mkdir(exist_ok=True, parents=True)
+    if verbose:
+        _LOGGER.info(f"Transcriptions will be saved to: {output_directory}")
+
+    # Initialize a batch processor according to user requirements (no speech diarization, given speech diarization,
+    # speech diarization per channel):
+    if speech_diarization:
+        batch_processor = SpeechDiarizationBatchProcessor(
+            audio_files=audio_files,
+            output_directory=output_directory,
+            speech_diarization=speech_diarization,
+        )
+    elif speech_diarize_per_channel:
+        batch_processor = PerChannelSpeechDiarizationBatchProcessor(
+            audio_files=audio_files,
+            output_directory=output_directory,
+            n_channels=speech_diarize_per_channel,
+            speakers=speaker_labels,
+        )
+    else:
+        batch_processor = BatchProcessor(
+            audio_files=audio_files,
+            output_directory=output_directory,
+        )
+
+    # Initialize the transcription pipeline:
+    transcriber = Transcriber(
+        device=device,
+        use_flash_attention_2=use_flash_attention_2,
+        use_better_transformers=use_better_transformers,
+        assistant_model=assistant_model,
+        model_name=model_name,
+        max_new_tokens=max_new_tokens,
+        chunk_length_s=chunk_length_s,
+        batch_size=batch_size,
+        return_timestamps=(
+            "word"
+            if speech_diarization is not None or speech_diarize_per_channel is not None
+            else False
+        ),
+        per_channel_transcription=speech_diarize_per_channel or 0,
+        spoken_language=spoken_language,
+        translate_to_english=translate_to_english,
+    )
+
+    # Run the transcription:
+    if use_multiprocessing:
+        results = _parallel_run(
+            n_workers=use_multiprocessing
+            if isinstance(use_multiprocessing, int)
+            else 1,
+            audio_files=audio_files,
+            batch_processor=batch_processor,
+            transcriber=transcriber,
+            verbose=verbose,
+        )
+    else:
+        results = _run(
+            audio_files=audio_files,
+            batch_processor=batch_processor,
+            transcriber=transcriber,
+            verbose=verbose,
+        )
+
+    # Process the results:
+    if verbose:
+        _LOGGER.info("Summarizing the results.")
+    successes = []
+    errors = {}
+    for is_error, result in results:
+        if is_error:
+            errors[result[0]] = result[1]
+        else:
+            successes.append(result)
+    successes = pd.DataFrame(successes, columns=["audio_file", "transcription_file"])
+    if verbose:
+        _LOGGER.info(
+            f"Done ({successes.shape[0]}/{len(audio_files)})\n"
+            f"Transcriptions summary:\n"
+            f"{successes.head()}"
+        )
+
+    return str(output_directory), successes, errors
+
+
+def _get_audio_files(
+    data_path: Union[Path, str, list],
+) -> List[Path]:
+    """
+    Get the audio files to transcribe. If a path to a directory is given, all files in the directory will be collected.
+
+    :param data_path: The data path to collect the audio files from.
+
+    :returns: The audio files list.
+    """
+    # Check if given a list of paths:
+    if isinstance(data_path, list):
+        audio_files = []
+        for path in data_path:
+            audio_files.extend(_get_audio_files(data_path=path))
+        return audio_files
+
+    # Check if given a single string path to cast it to a `pathlib.Path`:
+    if isinstance(data_path, str):
+        data_path = Path(data_path).absolute()
+
+    # Check if the path is of a directory or a file:
+    if data_path.is_dir():
+        # Get all files inside the directory:
+        audio_files = list(data_path.glob("*.*"))
+    elif data_path.is_file():
+        audio_files = [data_path]
+    else:
+        raise ValueError(
+            f"Unrecognized data path. The parameter `data_path` must be a valid path to either a directory path or a "
+            f"file. Given: {str(data_path)} "
+        )
+
+    return audio_files
+
+
+def _run(
+    audio_files: List[Path],
+    batch_processor: BatchProcessor,
+    transcriber: Transcriber,
+    verbose: bool,
+) -> List[Tuple[bool, Tuple[str, str]]]:
+    """
+    Run the transcription without multiprocessing.
+
+    :param audio_files:     The audio files to transcribe.
+    :param batch_processor: The batch processor to use.
+    :param transcriber:     The transcriber to use.
+    :param verbose:         Verbosity.
+
+    :returns: The collected results.
+    """
+    # Load the transcription pipeline:
+    if verbose:
+        _LOGGER.info(f"Loading the transcription pipeline.")
+    transcriber.load()
+    if verbose:
+        _LOGGER.info("Transcription pipeline loaded.")
+
+    # Transcribe the files:
+    transcriber.transcribe(
+        audio_files=audio_files,
+        batch_processor=batch_processor,
+        verbose=verbose,
+    )
+
+    # Return the results:
+    return batch_processor.get_results()
+
+
+def _parallel_run(
+    n_workers: int,
+    audio_files: List[Path],
+    batch_processor: BatchProcessor,
+    transcriber: Transcriber,
+    verbose: bool,
+):
+    """
+    Run the transcription with multiprocessing.
+
+    :param n_workers:       The amount of workers to use as task completers.
+    :param audio_files:     The audio files to transcribe.
+    :param batch_processor: The batch processor to use.
+    :param transcriber:     The transcriber to use.
+    :param verbose:         Verbosity.
+
+    :returns: The collected results.
+    """
+    # Initialize the multiprocessing queues:
+    batches_queue = Queue()
+    tasks_queue = Queue()
+    results_queue = Queue()
+
+    # Initialize the multiprocessing processes:
+    batch_processing_process = Process(
+        target=_multiprocessing_process_batches,
+        kwargs={
+            "batch_processor": batch_processor,
+            "batches_queue": batches_queue,
+            "tasks_queue": tasks_queue,
+            "n_task_completers": n_workers,
+        },
+    )
+    task_completion_processes = [
+        Process(
+            target=_multiprocessing_complete_tasks,
+            kwargs={"tasks_queue": tasks_queue, "results_queue": results_queue},
+        )
+        for _ in range(n_workers)
+    ]
+
+    # Start the multiprocessing processes:
+    batch_processing_process.start()
+    for p in task_completion_processes:
+        p.start()
+
+    # Load the transcription pipeline:
+    if verbose:
+        _LOGGER.info(f"Loading the transcription pipeline.")
+    transcriber.load()
+    if verbose:
+        _LOGGER.info("Transcription pipeline loaded.")
+
+    # Transcribe the files:
+    transcriber.transcribe(
+        audio_files=audio_files, batches_queue=batches_queue, verbose=verbose
+    )
+
+    # Collect the results:
+    results = []
+    stop_marks_counter = 0
+    while True:
+        # Get a result from the queue:
+        result: Tuple[bool, Tuple[str, str]] = results_queue.get()
+        if result == _MULTIPROCESSING_STOP_MARK:
+            stop_marks_counter += 1
+            if stop_marks_counter == n_workers:
+                break
+        else:
+            # Collect the result:
+            results.append(result)
+
+    # Wait for the processes to finish:
+    results_queue.empty()
+    batch_processing_process.join()
+    for p in task_completion_processes:
+        p.join()
+
+    return results
\ No newline at end of file
diff --git a/functions/master/transcribe/1.1.0/static/documentation.html b/functions/master/transcribe/1.1.0/static/documentation.html
new file mode 100644
index 00000000..d2c18f28
--- /dev/null
+++ b/functions/master/transcribe/1.1.0/static/documentation.html
@@ -0,0 +1,537 @@
+
+<!DOCTYPE html>
+
+<html lang="en">
+<head>
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+<i class="fas fa-list"></i> Contents
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+<ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#submodules">
+   Submodules
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#module-transcribe.transcribe">
+   transcribe.transcribe module
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#module-transcribe">
+   Module contents
+  </a>
+</li>
+</ul>
+</nav>
+</div>
+</div>
+<div class="article row">
+<div class="col pl-md-3 pl-lg-5 content-container">
+<!-- Table of contents that is only displayed when printing the page -->
+<div class="onlyprint" id="jb-print-docs-body">
+<h1>transcribe package</h1>
+<!-- Table of contents -->
+<div id="print-main-content">
+<div id="jb-print-toc">
+<div>
+<h2> Contents </h2>
+</div>
+<nav aria-label="Page">
+<ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#submodules">
+   Submodules
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#module-transcribe.transcribe">
+   transcribe.transcribe module
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#module-transcribe">
+   Module contents
+  </a>
+</li>
+</ul>
+</nav>
+</div>
+</div>
+</div>
+<main id="main-content" role="main">
+<div>
+<section id="transcribe-package">
+<h1>transcribe package<a class="headerlink" href="#transcribe-package" title="Permalink to this headline">#</a></h1>
+<section id="submodules">
+<h2>Submodules<a class="headerlink" href="#submodules" title="Permalink to this headline">#</a></h2>
+</section>
+<section id="module-transcribe.transcribe">
+<span id="transcribe-transcribe-module"></span><h2>transcribe.transcribe module<a class="headerlink" href="#module-transcribe.transcribe" title="Permalink to this headline">#</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="transcribe.transcribe.BaseTask">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">transcribe.transcribe.</span></span><span class="sig-name descname"><span class="pre">BaseTask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">audio_file</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pathlib.Path</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">transcription_output</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">,</span> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">text_file</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pathlib.Path</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="transcribe.html#BaseTask"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#transcribe.transcribe.BaseTask" title="Permalink to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
+<p>A task to write the transcription to file.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="transcribe.transcribe.BaseTask.do_task">
+<span class="sig-name descname"><span class="pre">do_task</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="transcribe.html#BaseTask.do_task"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#transcribe.transcribe.BaseTask.do_task" title="Permalink to this definition">#</a></dt>
+<dd><p>Try to perform the task storing an error if occurred.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="transcribe.transcribe.BaseTask.get_result">
+<span class="sig-name descname"><span class="pre">get_result</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> → <span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><a class="reference internal" href="transcribe.html#BaseTask.get_result"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#transcribe.transcribe.BaseTask.get_result" title="Permalink to this definition">#</a></dt>
+<dd><p>Get the result of the task. If the task failed, the error will be returned, otherwise, the result will be the
+text file name.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>The task’s result.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="transcribe.transcribe.BaseTask.is_failed">
+<span class="sig-name descname"><span class="pre">is_failed</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> → <span class="pre">bool</span><a class="reference internal" href="transcribe.html#BaseTask.is_failed"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#transcribe.transcribe.BaseTask.is_failed" title="Permalink to this definition">#</a></dt>
+<dd><p>Check if the task failed.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>Whether the task failed.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="transcribe.transcribe.BaseTask.to_tuple">
+<span class="sig-name descname"><span class="pre">to_tuple</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> → <span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span><a class="reference internal" href="transcribe.html#BaseTask.to_tuple"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#transcribe.transcribe.BaseTask.to_tuple" title="Permalink to this definition">#</a></dt>
+<dd><p>Convert the task to a tuple to reconstruct it later (used for multiprocessing to pass in queue).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>The converted task.</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="transcribe.transcribe.BatchProcessor">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">transcribe.transcribe.</span></span><span class="sig-name descname"><span class="pre">BatchProcessor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">audio_files</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">pathlib.Path</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_directory</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pathlib.Path</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="transcribe.html#BatchProcessor"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#transcribe.transcribe.BatchProcessor" title="Permalink to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
+<p>A batch processor to process batches of transcriptions. The batch processor is creating tasks and is aimed to be
+working along the transcriber. It can be used with multiprocessing queue or run the tasks directly using the
+associated methods.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="transcribe.transcribe.BatchProcessor.do_tasks">
+<span class="sig-name descname"><span class="pre">do_tasks</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="transcribe.html#BatchProcessor.do_tasks"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#transcribe.transcribe.BatchProcessor.do_tasks" title="Permalink to this definition">#</a></dt>
+<dd><p>Perform the tasks. Should be used if no multiprocessing queue is given to a transcriber.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="transcribe.transcribe.BatchProcessor.get_results">
+<span class="sig-name descname"><span class="pre">get_results</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> → <span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">bool</span><span class="p"><span class="pre">,</span> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><a class="reference internal" href="transcribe.html#BatchProcessor.get_results"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#transcribe.transcribe.BatchProcessor.get_results" title="Permalink to this definition">#</a></dt>
+<dd><p>Get the results of the tasks. The stored results are then cleared.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>The results of the tasks.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="transcribe.transcribe.BatchProcessor.get_tasks">
+<span class="sig-name descname"><span class="pre">get_tasks</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> → <span class="pre">List</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#transcribe.transcribe.BaseTask" title="transcribe.transcribe.BaseTask"><span class="pre">transcribe.transcribe.BaseTask</span></a><span class="p"><span class="pre">]</span></span><a class="reference internal" href="transcribe.html#BatchProcessor.get_tasks"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#transcribe.transcribe.BatchProcessor.get_tasks" title="Permalink to this definition">#</a></dt>
+<dd><p>Get the tasks to perform.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>The tasks to perform.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="transcribe.transcribe.BatchProcessor.process_batch">
+<span class="sig-name descname"><span class="pre">process_batch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">,</span> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span><a class="reference internal" href="transcribe.html#BatchProcessor.process_batch"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#transcribe.transcribe.BatchProcessor.process_batch" title="Permalink to this definition">#</a></dt>
+<dd><p>Process a batch of transcriptions. Tasks related to the given batch will be created and stored in the batch
+processor.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>batch</strong> – The batch of transcriptions to process.</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="transcribe.transcribe.PerChannelSpeechDiarizationBatchProcessor">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">transcribe.transcribe.</span></span><span class="sig-name descname"><span class="pre">PerChannelSpeechDiarizationBatchProcessor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">audio_files</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">pathlib.Path</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_directory</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pathlib.Path</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_channels</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">speakers</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span><a class="reference internal" href="transcribe.html#PerChannelSpeechDiarizationBatchProcessor"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#transcribe.transcribe.PerChannelSpeechDiarizationBatchProcessor" title="Permalink to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#transcribe.transcribe.BatchProcessor" title="transcribe.transcribe.BatchProcessor"><code class="xref py py-class docutils literal notranslate"><span class="pre">transcribe.transcribe.BatchProcessor</span></code></a></p>
+<p>A batch processor to process batches of transcriptions per channel. The batch processor is creating tasks with the
+selected amount of channels given and is aimed to be working along the transcriber. It can be used with
+multiprocessing queue or run the tasks directly using the associated methods.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="transcribe.transcribe.PerChannelSpeechDiarizationBatchProcessor.process_batch">
+<span class="sig-name descname"><span class="pre">process_batch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span><a class="reference internal" href="transcribe.html#PerChannelSpeechDiarizationBatchProcessor.process_batch"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#transcribe.transcribe.PerChannelSpeechDiarizationBatchProcessor.process_batch" title="Permalink to this definition">#</a></dt>
+<dd><p>Process a batch of transcriptions. Tasks related to the given batch will be created and stored in the batch
+processor.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>batch</strong> – The batch of transcriptions to process.</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="transcribe.transcribe.SpeechDiarizationBatchProcessor">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">transcribe.transcribe.</span></span><span class="sig-name descname"><span class="pre">SpeechDiarizationBatchProcessor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">audio_files</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">pathlib.Path</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_directory</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pathlib.Path</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">speech_diarization</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="transcribe.html#SpeechDiarizationBatchProcessor"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#transcribe.transcribe.SpeechDiarizationBatchProcessor" title="Permalink to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#transcribe.transcribe.BatchProcessor" title="transcribe.transcribe.BatchProcessor"><code class="xref py py-class docutils literal notranslate"><span class="pre">transcribe.transcribe.BatchProcessor</span></code></a></p>
+<p>A batch processor to process batches of transcriptions with respect to a given speech diarization. The batch
+processor is creating tasks and is aimed to be working along the transcriber. It can be used with multiprocessing
+queue or run the tasks directly using the associated methods.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="transcribe.transcribe.SpeechDiarizationBatchProcessor.process_batch">
+<span class="sig-name descname"><span class="pre">process_batch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span><a class="reference internal" href="transcribe.html#SpeechDiarizationBatchProcessor.process_batch"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#transcribe.transcribe.SpeechDiarizationBatchProcessor.process_batch" title="Permalink to this definition">#</a></dt>
+<dd><p>Process a batch of transcriptions. Tasks related to the given batch will be created and stored in the batch
+processor.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>batch</strong> – The batch of transcriptions to process.</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="transcribe.transcribe.SpeechDiarizationPerChannelTask">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">transcribe.transcribe.</span></span><span class="sig-name descname"><span class="pre">SpeechDiarizationPerChannelTask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">audio_file</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pathlib.Path</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">text_file</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pathlib.Path</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="transcribe.html#SpeechDiarizationPerChannelTask"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#transcribe.transcribe.SpeechDiarizationPerChannelTask" title="Permalink to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#transcribe.transcribe.BaseTask" title="transcribe.transcribe.BaseTask"><code class="xref py py-class docutils literal notranslate"><span class="pre">transcribe.transcribe.BaseTask</span></code></a></p>
+<p>A task to write the transcription to file with respect to a given speech diarization per channel.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="transcribe.transcribe.SpeechDiarizationPerChannelTask.do_task">
+<span class="sig-name descname"><span class="pre">do_task</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="transcribe.html#SpeechDiarizationPerChannelTask.do_task"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#transcribe.transcribe.SpeechDiarizationPerChannelTask.do_task" title="Permalink to this definition">#</a></dt>
+<dd><p>Try to perform the task storing an error if occurred.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="transcribe.transcribe.SpeechDiarizationPerChannelTask.to_tuple">
+<span class="sig-name descname"><span class="pre">to_tuple</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> → <span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span><a class="reference internal" href="transcribe.html#SpeechDiarizationPerChannelTask.to_tuple"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#transcribe.transcribe.SpeechDiarizationPerChannelTask.to_tuple" title="Permalink to this definition">#</a></dt>
+<dd><p>Convert the task to a tuple to reconstruct it later (used for multiprocessing to pass in queue).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>The converted task.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="transcribe.transcribe.SpeechDiarizationPerChannelTask.transcription_output_channels">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">transcription_output_channels</span></span><em class="property"><span class="pre">:</span> <span class="pre">List[Tuple[str,</span> <span class="pre">dict]]</span></em><a class="headerlink" href="#transcribe.transcribe.SpeechDiarizationPerChannelTask.transcription_output_channels" title="Permalink to this definition">#</a></dt>
+<dd><p>Get the transcription output channels.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>The transcription output channels.</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="transcribe.transcribe.SpeechDiarizationTask">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">transcribe.transcribe.</span></span><span class="sig-name descname"><span class="pre">SpeechDiarizationTask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">audio_file</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pathlib.Path</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">transcription_output</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">text_file</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pathlib.Path</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">speech_diarization</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span> </span><span class="pre">float</span><span class="p"><span class="pre">,</span> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span><a class="reference internal" href="transcribe.html#SpeechDiarizationTask"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#transcribe.transcribe.SpeechDiarizationTask" title="Permalink to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#transcribe.transcribe.BaseTask" title="transcribe.transcribe.BaseTask"><code class="xref py py-class docutils literal notranslate"><span class="pre">transcribe.transcribe.BaseTask</span></code></a></p>
+<p>A task to write the transcription to file with respect to a given speech diarization.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="transcribe.transcribe.SpeechDiarizationTask.to_tuple">
+<span class="sig-name descname"><span class="pre">to_tuple</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> → <span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span><a class="reference internal" href="transcribe.html#SpeechDiarizationTask.to_tuple"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#transcribe.transcribe.SpeechDiarizationTask.to_tuple" title="Permalink to this definition">#</a></dt>
+<dd><p>Convert the task to a tuple to reconstruct it later (used for multiprocessing to pass in queue).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>The converted task.</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="transcribe.transcribe.Transcriber">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">transcribe.transcribe.</span></span><span class="sig-name descname"><span class="pre">Transcriber</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_flash_attention_2</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_better_transformers</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">assistant_model</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_new_tokens</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">128</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">chunk_length_s</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">30</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spoken_language</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">translate_to_english</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_timestamps</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">bool</span><span class="p"><span class="pre">,</span> </span><span class="pre">Literal</span><span class="p"><span class="pre">[</span></span><span class="pre">word</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">per_channel_transcription</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="transcribe.html#Transcriber"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#transcribe.transcribe.Transcriber" title="Permalink to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
+<p>A transcription wrapper for the Huggingface’s ASR pipeline -
+<a class="reference external" href="https://huggingface.co/transformers/main_classes/pipelines.html#transformers.AutomaticSpeechRecognitionPipeline">https://huggingface.co/transformers/main_classes/pipelines.html#transformers.AutomaticSpeechRecognitionPipeline</a> to
+use with OpenAI’s Whisper models - <a class="reference external" href="https://huggingface.co/openai">https://huggingface.co/openai</a>.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="transcribe.transcribe.Transcriber.load">
+<span class="sig-name descname"><span class="pre">load</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="transcribe.html#Transcriber.load"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#transcribe.transcribe.Transcriber.load" title="Permalink to this definition">#</a></dt>
+<dd><p>Load the transcriber. Must be called before transcribing.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="transcribe.transcribe.Transcriber.transcribe">
+<span class="sig-name descname"><span class="pre">transcribe</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">audio_files</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">pathlib.Path</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_processor</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#transcribe.transcribe.BatchProcessor" title="transcribe.transcribe.BatchProcessor"><span class="pre">transcribe.transcribe.BatchProcessor</span></a><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batches_queue</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">multiprocessing.context.BaseContext.Queue</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> → <span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><a class="reference internal" href="transcribe.html#Transcriber.transcribe"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#transcribe.transcribe.Transcriber.transcribe" title="Permalink to this definition">#</a></dt>
+<dd><p>Transcribe the given audio files. The transcriptions will be sent to a queue or a batch processor for further
+processing like writing to text files. If no queue or batch processor is given, the transcriptions outputs from
+the pipeline will be returned. Otherwise, <cite>None</cite> is returned.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>audio_files</strong> – The audio files to transcribe.</p></li>
+<li><p><strong>batch_processor</strong> – A batch processor.</p></li>
+<li><p><strong>batches_queue</strong> – A multiprocessing queue to put the batches in.</p></li>
+<li><p><strong>verbose</strong> – Whether to show a progress bar. Default is False.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>The transcriptions outputs from the pipeline if no queue or batch processor is given, otherwise,
+<cite>None</cite>.</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="transcribe.transcribe.open_mpi_handler">
+<span class="sig-prename descclassname"><span class="pre">transcribe.transcribe.</span></span><span class="sig-name descname"><span class="pre">open_mpi_handler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">worker_inputs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">root_worker_inputs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="transcribe.html#open_mpi_handler"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#transcribe.transcribe.open_mpi_handler" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="transcribe.transcribe.transcribe">
+<span class="sig-prename descclassname"><span class="pre">transcribe.transcribe.</span></span><span class="sig-name descname"><span class="pre">transcribe</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">pathlib.Path</span><span class="p"><span class="pre">,</span> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">pathlib.Path</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_directory</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'openai/whisper-tiny'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_flash_attention_2</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_better_transformers</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">assistant_model</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_new_tokens</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">128</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">chunk_length_s</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">30</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spoken_language</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">translate_to_english</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">speech_diarization</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span> </span><span class="pre">float</span><span class="p"><span class="pre">,</span> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">speech_diarize_per_channel</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">speaker_labels</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_multiprocessing</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">bool</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="transcribe.html#transcribe"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#transcribe.transcribe.transcribe" title="Permalink to this definition">#</a></dt>
+<dd><p>Transcribe audio files into text files and collect additional data. The end result is a directory of transcribed
+text files and a dataframe containing the following columns:</p>
+<ul class="simple">
+<li><p>audio_file - The audio file path.</p></li>
+<li><p>transcription_file - The transcribed text file name in the output directory.</p></li>
+</ul>
+<p>The transcription is based on Huggingface’s ASR pipeline -
+<a class="reference external" href="https://huggingface.co/transformers/main_classes/pipelines.html#transformers.AutomaticSpeechRecognitionPipeline">https://huggingface.co/transformers/main_classes/pipelines.html#transformers.AutomaticSpeechRecognitionPipeline</a> and
+is tested with OpenAI’s Whisper models - <a class="reference external" href="https://huggingface.co/openai">https://huggingface.co/openai</a>.</p>
+<p>If one of the speaker diarization parameters are given (either <cite>speech_diarization</cite> or
+<cite>speech_diarize_per_channel</cite>), the transcription will be written in a conversation format, where each speaker will
+be written in a separate line:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">speaker_1</span><span class="p">:</span> <span class="n">text</span>
+<span class="n">speaker_2</span><span class="p">:</span> <span class="n">text</span>
+<span class="n">speaker_1</span><span class="p">:</span> <span class="n">text</span>
+<span class="o">...</span>
+</pre></div>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data_path</strong> – A directory of audio files or a single file or a list of files to transcribe.</p></li>
+<li><p><strong>output_directory</strong> – Path to a directory to save all transcribed audio files. If not given, will save
+the transcribed files in a temporary directory.</p></li>
+<li><p><strong>model_name</strong> – The model name to use. Should be a model from the OpenAI’s Whisper models for
+best results (for example “tiny”, “base”, “large”, etc.). See here for more
+information: <a class="reference external" href="https://huggingface.co/openai?search_models=whisper">https://huggingface.co/openai?search_models=whisper</a>.</p></li>
+<li><p><strong>device</strong> – The device to use for inference. If not given, will use GPU if available.</p></li>
+<li><p><strong>use_flash_attention_2</strong> – <p>Whether to use the Flash Attention 2 implementation. It can be used only with
+one of the following GPUs: Nvidia H series and Nvidia A series. T4 support
+will be available soon.</p>
+<p>Note: If both <cite>use_flash_attention_2</cite> and
+<cite>use_better_transformers</cite> are <cite>None</cite>, the optimization will be chosen
+automatically according to the available resources.</p>
+</p></li>
+<li><p><strong>use_better_transformers</strong> – <p>Whether to use the Better Transformers library to further optimize the model.
+Should be used for all use cases that do not support flash attention 2.</p>
+<p>Note: If both <cite>use_flash_attention_2</cite> and <cite>use_better_transformers</cite> are
+<cite>None</cite>, the optimization will be chosen automatically according to the
+available resources.</p>
+</p></li>
+<li><p><strong>assistant_model</strong> – <p>The assistant model name to use for inference. Notice that the optimizations
+(flash attention 2 and better transformers) will be applied for the assistant as
+well. Should be a model from Huggingface’s distil-whisper (see here for more
+information: <a class="reference external" href="https://github.com/huggingface/distil-whisper">https://github.com/huggingface/distil-whisper</a>).</p>
+<p>Note: Currently an assistant model is only usable with batch size of 1.</p>
+</p></li>
+<li><p><strong>max_new_tokens</strong> – The maximum number of new tokens to generate. This is used to limit the
+generation length. Default is 128 tokens.</p></li>
+<li><p><strong>chunk_length_s</strong> – The audio chunk to split the audio to (in seconds). Default is 30 seconds.</p></li>
+<li><p><strong>batch_size</strong> – The batch size to use for inference. Default is 2.</p></li>
+<li><p><strong>spoken_language</strong> – Aim whisper to know what language is spoken. If None, it will try to detect
+it.</p></li>
+<li><p><strong>translate_to_english</strong> – Whether to translate the transcriptions to English.</p></li>
+<li><p><strong>speech_diarization</strong> – <p>A speech diarization dictionary with the file names to transcribe as keys and
+their diarization as value. The diarization is a list of tuples:
+(start, end, speaker). An example
+for a diarization dictionary:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="p">{</span>
+</pre></div>
+</div>
+<blockquote>
+<div><dl>
+<dt>”audio_file_name”: [</dt><dd><dl class="simple">
+<dt>{</dt><dd><p>“start”: 0.0,
+“end”: 2.0,
+“speaker”: “Agent”,</p>
+</dd>
+</dl>
+<p>},
+{</p>
+<blockquote>
+<div><p>”start”: 2.0,
+“end”: 4.0,
+“speaker”: “Client”,</p>
+</div></blockquote>
+</dd>
+</dl>
+</div></blockquote>
+<p>}</p>
+<p>Note: The diarization must be for the entire duration of the audio file (as long
+as Whisper is predicting words up until then.</p>
+</p></li>
+<li><p><strong>speech_diarize_per_channel</strong> – Perform speech diarization per channel. Each speaker is expected to belong to
+a separate channel in the audio. Notice: This will make the transcription
+slower as each channel wil be transcribed separatly. If a speech diarization
+is passed (via the <cite>speech_diarization</cite> parameter), this parameter is
+ignored.</p></li>
+<li><p><strong>speaker_labels</strong> – A list of speaker labels by channel order to use for writing the
+transcription with respect to per channel speech diarization. This won’t be
+used together with a given speech diarization (via the <cite>speech_diarization</cite>
+parameter).</p></li>
+<li><p><strong>use_multiprocessing</strong> – Whether to use multiprocessing to transcribe the audio files. Can be either a
+boolean value or an integer. If <cite>True</cite>, will use the default amount of workers
+(3): 1 for transcription, 1 for batch processing and 1 for task completion (such
+as speech diarization and writing to files). To control the amount of tasks
+completion workers, an integer can be provided to specify the amount of workers.
+<cite>False</cite>, will use a single process. Default is <cite>False</cite>.</p></li>
+<li><p><strong>verbose</strong> – Whether to print the progress of the transcription. Default is <cite>False</cite>.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+</section>
+<section id="module-transcribe">
+<span id="module-contents"></span><h2>Module contents<a class="headerlink" href="#module-transcribe" title="Permalink to this headline">#</a></h2>
+</section>
+</section>
+</div>
+</main>
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+<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf"></script>
+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/transcribe/1.1.0/static/example.html b/functions/master/transcribe/1.1.0/static/example.html
new file mode 100644
index 00000000..6caa1b3d
--- /dev/null
+++ b/functions/master/transcribe/1.1.0/static/example.html
@@ -0,0 +1,599 @@
+
+<!DOCTYPE html>
+
+<html lang="en">
+<head>
+<meta charset="utf-8"/>
+<meta content="width=device-width, initial-scale=1.0" name="viewport"/><meta content="Docutils 0.17.1: http://docutils.sourceforge.net/" name="generator"/>
+<title>Transcribe tutorial</title>
+<!-- Loaded before other Sphinx assets -->
+<link href="../../../_static/styles/theme.css?digest=1999514e3f237ded88cf" rel="stylesheet"/>
+<link href="../../../_static/styles/pydata-sphinx-theme.css?digest=1999514e3f237ded88cf" rel="stylesheet"/>
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+<link as="font" crossorigin="" href="../../../_static/vendor/fontawesome/5.13.0/webfonts/fa-solid-900.woff2" rel="preload" type="font/woff2"/>
+<link as="font" crossorigin="" href="../../../_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2" rel="preload" type="font/woff2"/>
+<link href="../../../_static/pygments.css" rel="stylesheet" type="text/css">
+<link href="../../../_static/styles/sphinx-book-theme.css?digest=5115cc725059bd94278eecd172e13a965bf8f5a9" rel="stylesheet" type="text/css">
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+<link href="../../../_static/togglebutton.css" rel="stylesheet" type="text/css">
+<!-- Pre-loaded scripts that we'll load fully later -->
+<link as="script" href="../../../_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf" rel="preload"/>
+<script src="../../../_static/scripts/sphinx-book-theme.js?digest=9c920249402e914e316237a7dbc6769907cce411"></script>
+<script data-url_root="./" id="documentation_options" src="../../../_static/documentation_options.js"></script>
+<script src="../../../_static/jquery.js"></script>
+<script src="../../../_static/underscore.js"></script>
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+<script src="../../../_static/togglebutton.js"></script>
+<script src="../../../_static/scripts/sphinx-book-theme.js"></script>
+<script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+<link href="genindex.html" rel="index" title="Index">
+<link href="search.html" rel="search" title="Search">
+<meta content="width=device-width, initial-scale=1" name="viewport"/>
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+<!-- Google Analytics -->
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+<body data-offset="60" data-spy="scroll" data-target="#bd-toc-nav">
+<!-- Checkboxes to toggle the left sidebar -->
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+<div class="visually-hidden">Toggle navigation sidebar</div>
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+<!-- Checkboxes to toggle the in-page toc -->
+<input aria-label="Toggle in-page Table of Contents" class="sidebar-toggle" id="__page-toc" name="__page-toc" type="checkbox"/>
+<label class="overlay overlay-pagetoc" for="__page-toc">
+<div class="visually-hidden">Toggle in-page Table of Contents</div>
+</label>
+<!-- Headers at the top -->
+<div class="announcement header-item noprint"></div>
+<div class="header header-item noprint"></div>
+<div class="container-fluid" id="banner"></div>
+<div class="container-xl">
+<div class="row">
+<!-- Sidebar -->
+<div class="bd-sidebar noprint single-page" id="site-navigation">
+</div>
+<!-- A tiny helper pixel to detect if we've scrolled -->
+<div class="sbt-scroll-pixel-helper"></div>
+<!-- Main content -->
+<div class="col py-0 content-container">
+<div class="header-article row sticky-top noprint">
+<div class="col py-1 d-flex header-article-main">
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+<li>
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+<span class="headerbtn__icon-container">
+<i class="fab fa-github"></i>
+</span>
+<span class="headerbtn__text-container">repository</span>
+</a>
+</li>
+<li>
+<a class="headerbtn" data-placement="left" data-toggle="tooltip" href="https://github.com/mlrun/marketplace/issues/new?title=Issue%20on%20page%20%2Ftranscribe_example.html&amp;body=Your%20issue%20content%20here." title="Open an issue">
+<span class="headerbtn__icon-container">
+<i class="fas fa-lightbulb"></i>
+</span>
+<span class="headerbtn__text-container">open issue</span>
+</a>
+</li>
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+<span class="headerbtn__icon-container">
+<i class="fas fa-file-pdf"></i>
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+<span class="headerbtn__text-container">.pdf</span>
+</button>
+</li>
+</ul>
+</div>
+</div>
+<label class="headerbtn headerbtn-page-toc" for="__page-toc">
+<span class="headerbtn__icon-container">
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+</span>
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+</div>
+</div>
+<!-- Table of contents -->
+<div class="col-md-3 bd-toc show noprint">
+<div class="tocsection onthispage pt-5 pb-3">
+<i class="fas fa-list"></i> Contents
+    </div>
+<nav aria-label="Page" id="bd-toc-nav">
+<ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#importing-the-transcribe-function-from-hub">
+   Importing the transcribe function from hub
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#running-transcribe">
+   Running transcribe
+  </a>
+</li>
+</ul>
+</nav>
+</div>
+</div>
+<div class="article row">
+<div class="col pl-md-3 pl-lg-5 content-container">
+<!-- Table of contents that is only displayed when printing the page -->
+<div class="onlyprint" id="jb-print-docs-body">
+<h1>Transcribe tutorial</h1>
+<!-- Table of contents -->
+<div id="print-main-content">
+<div id="jb-print-toc">
+<div>
+<h2> Contents </h2>
+</div>
+<nav aria-label="Page">
+<ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#importing-the-transcribe-function-from-hub">
+   Importing the transcribe function from hub
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#running-transcribe">
+   Running transcribe
+  </a>
+</li>
+</ul>
+</nav>
+</div>
+</div>
+</div>
+<main id="main-content" role="main">
+<div>
+<section id="transcribe-tutorial">
+<h1>Transcribe tutorial<a class="headerlink" href="#transcribe-tutorial" title="Permalink to this headline">#</a></h1>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">tempfile</span>
+<span class="kn">import</span> <span class="nn">mlrun</span>
+</pre></div>
+</div>
+</div>
+</div>
+<section id="importing-the-transcribe-function-from-hub">
+<h2>Importing the transcribe function from hub<a class="headerlink" href="#importing-the-transcribe-function-from-hub" title="Permalink to this headline">#</a></h2>
+<p>To import the function directly from hub, use:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">transcribe_fn</span> <span class="o">=</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">import_function</span><span class="p">(</span><span class="s2">"hub://transcribe"</span><span class="p">)</span>
+</pre></div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">artifact_path</span> <span class="o">=</span> <span class="n">tempfile</span><span class="o">.</span><span class="n">mkdtemp</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">transcribe_fn</span> <span class="o">=</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">import_function</span><span class="p">(</span><span class="s2">"function.yaml"</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="running-transcribe">
+<h2>Running transcribe<a class="headerlink" href="#running-transcribe" title="Permalink to this headline">#</a></h2>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">transcribe_run</span> <span class="o">=</span> <span class="n">transcribe_fn</span><span class="o">.</span><span class="n">run</span><span class="p">(</span>
+    <span class="n">handler</span><span class="o">=</span><span class="s2">"transcribe"</span><span class="p">,</span>
+    <span class="n">params</span><span class="o">=</span><span class="p">{</span>
+        <span class="s2">"model_name"</span><span class="p">:</span> <span class="s2">"tiny"</span><span class="p">,</span>
+        <span class="s2">"input_path"</span><span class="p">:</span> <span class="s2">"./data"</span><span class="p">,</span>
+        <span class="s2">"decoding_options"</span><span class="p">:</span> <span class="p">{</span><span class="s2">"fp16"</span><span class="p">:</span> <span class="kc">False</span><span class="p">},</span>
+        <span class="s2">"output_directory"</span><span class="p">:</span> <span class="s2">"./output"</span><span class="p">,</span>
+    <span class="p">},</span>
+    <span class="n">returns</span><span class="o">=</span><span class="p">[</span>
+        <span class="s2">"transcriptions: path"</span><span class="p">,</span>
+        <span class="s2">"transcriptions_df: dataset"</span><span class="p">,</span>
+        <span class="p">{</span><span class="s2">"key"</span><span class="p">:</span> <span class="s2">"transcriptions_errors"</span><span class="p">,</span> <span class="s2">"artifact_type"</span><span class="p">:</span> <span class="s2">"file"</span><span class="p">,</span> <span class="s2">"file_format"</span><span class="p">:</span> <span class="s2">"yaml"</span><span class="p">},</span>
+    <span class="p">],</span>
+    <span class="n">local</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+    <span class="n">artifact_path</span><span class="o">=</span><span class="n">artifact_path</span><span class="p">,</span>
+<span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&gt; 2023-07-16 17:14:01,968 [info] Storing function: {'name': 'transcribe-transcribe', 'uid': 'd1384cb679bc4c178b0195d964b628a8', 'db': None}
+&gt; 2023-07-16 17:14:01,969 [warning] Could not detect path to API server, not connected to API server!
+&gt; 2023-07-16 17:14:01,969 [warning] MLRUN_DBPATH is not set. Set this environment variable to the URL of the API server in order to connect
+&gt; 2023-07-16 17:14:01,970 [warning] Could not detect path to API server, not connected to API server!
+&gt; 2023-07-16 17:14:01,970 [warning] MLRUN_DBPATH is not set. Set this environment variable to the URL of the API server in order to connect
+&gt; 2023-07-16 17:14:01,972 [warning] Could not detect path to API server, not connected to API server!
+&gt; 2023-07-16 17:14:01,972 [warning] MLRUN_DBPATH is not set. Set this environment variable to the URL of the API server in order to connect
+&gt; 2023-07-16 17:14:09,804 [warning] Could not detect path to API server, not connected to API server!
+&gt; 2023-07-16 17:14:09,805 [warning] MLRUN_DBPATH is not set. Set this environment variable to the URL of the API server in order to connect
+&gt; 2023-07-16 17:14:09,805 [info] Loading whisper model: 'tiny'
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details.
+IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&gt; 2023-07-16 17:14:10,374 [info] Model loaded.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Transcribing:  67%|██████▋   | 2/3 [00:02&lt;00:01,  1.04s/file]
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&gt; 2023-07-16 17:14:12,556 [warning] Error in file: '/Users/Yonatan_Shelach/projects/functions/transcribe/data/error_file.txt'
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Transcribing: 100%|██████████| 3/3 [00:02&lt;00:00,  1.39file/s]
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&gt; 2023-07-16 17:14:12,566 [info] Done:
+      audio_file transcription_file language     length  rate_of_speech
+0  speech_01.mp3      speech_01.txt       en   2.011333        3.480278
+1  speech_02.mp3      speech_02.txt       en  20.793500        2.548873
+&gt; 2023-07-16 17:14:12,596 [warning] Could not detect path to API server, not connected to API server!
+&gt; 2023-07-16 17:14:12,597 [warning] MLRUN_DBPATH is not set. Set this environment variable to the URL of the API server in order to connect
+&gt; 2023-07-16 17:14:12,659 [warning] Could not detect path to API server, not connected to API server!
+&gt; 2023-07-16 17:14:12,660 [warning] MLRUN_DBPATH is not set. Set this environment variable to the URL of the API server in order to connect
+&gt; 2023-07-16 17:14:12,671 [warning] Could not detect path to API server, not connected to API server!
+&gt; 2023-07-16 17:14:12,672 [warning] MLRUN_DBPATH is not set. Set this environment variable to the URL of the API server in order to connect
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&gt; 2023-07-16 17:14:12,707 [warning] Could not detect path to API server, not connected to API server!
+&gt; 2023-07-16 17:14:12,707 [warning] MLRUN_DBPATH is not set. Set this environment variable to the URL of the API server in order to connect
+&gt; 2023-07-16 17:14:12,708 [warning] Could not detect path to API server, not connected to API server!
+&gt; 2023-07-16 17:14:12,708 [warning] MLRUN_DBPATH is not set. Set this environment variable to the URL of the API server in order to connect
+</pre></div>
+</div>
+<div class="output text_html"><style>
+.dictlist {
+  background-color: #4EC64B;
+  text-align: center;
+  margin: 4px;
+  border-radius: 3px; padding: 0px 3px 1px 3px; display: inline-block;}
+.artifact {
+  cursor: pointer;
+  background-color: #4EC64B;
+  text-align: left;
+  margin: 4px; border-radius: 3px; padding: 0px 3px 1px 3px; display: inline-block;
+}
+div.block.hidden {
+  display: none;
+}
+.clickable {
+  cursor: pointer;
+}
+.ellipsis {
+  display: inline-block;
+  max-width: 60px;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+}
+.master-wrapper {
+  display: flex;
+  flex-flow: row nowrap;
+  justify-content: flex-start;
+  align-items: stretch;
+}
+.master-tbl {
+  flex: 3
+}
+.master-wrapper > div {
+  margin: 4px;
+  padding: 10px;
+}
+iframe.fileview {
+  border: 0 none;
+  height: 100%;
+  width: 100%;
+  white-space: pre-wrap;
+}
+.pane-header-title {
+  width: 80%;
+  font-weight: 500;
+}
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+  line-height: 1;
+  background-color: #4EC64B;
+  padding: 3px;
+}
+.pane-header .close {
+  font-size: 20px;
+  font-weight: 700;
+  float: right;
+  margin-top: -5px;
+}
+.master-wrapper .right-pane {
+  border: 1px inset silver;
+  width: 40%;
+  min-height: 300px;
+  flex: 3
+  min-width: 500px;
+}
+.master-wrapper * {
+  box-sizing: border-box;
+}
+</style><script>
+function copyToClipboard(fld) {
+    if (document.queryCommandSupported && document.queryCommandSupported('copy')) {
+        var textarea = document.createElement('textarea');
+        textarea.textContent = fld.innerHTML;
+        textarea.style.position = 'fixed';
+        document.body.appendChild(textarea);
+        textarea.select();
+
+        try {
+            return document.execCommand('copy'); // Security exception may be thrown by some browsers.
+        } catch (ex) {
+
+        } finally {
+            document.body.removeChild(textarea);
+        }
+    }
+}
+function expandPanel(el) {
+  const panelName = "#" + el.getAttribute('paneName');
+  console.log(el.title);
+
+  document.querySelector(panelName + "-title").innerHTML = el.title
+  iframe = document.querySelector(panelName + "-body");
+
+  const tblcss = `<style> body { font-family: Arial, Helvetica, sans-serif;}
+    #csv { margin-bottom: 15px; }
+    #csv table { border-collapse: collapse;}
+    #csv table td { padding: 4px 8px; border: 1px solid silver;} </style>`;
+
+  function csvToHtmlTable(str) {
+    return '<div id="csv"><table><tr><td>' +  str.replace(/[\n\r]+$/g, '').replace(/[\n\r]+/g, '</td></tr><tr><td>')
+      .replace(/,/g, '</td><td>') + '</td></tr></table></div>';
+  }
+
+  function reqListener () {
+    if (el.title.endsWith(".csv")) {
+      iframe.setAttribute("srcdoc", tblcss + csvToHtmlTable(this.responseText));
+    } else {
+      iframe.setAttribute("srcdoc", this.responseText);
+    }
+    console.log(this.responseText);
+  }
+
+  const oReq = new XMLHttpRequest();
+  oReq.addEventListener("load", reqListener);
+  oReq.open("GET", el.title);
+  oReq.send();
+
+
+  //iframe.src = el.title;
+  const resultPane = document.querySelector(panelName + "-pane");
+  if (resultPane.classList.contains("hidden")) {
+    resultPane.classList.remove("hidden");
+  }
+}
+function closePanel(el) {
+  const panelName = "#" + el.getAttribute('paneName')
+  const resultPane = document.querySelector(panelName + "-pane");
+  if (!resultPane.classList.contains("hidden")) {
+    resultPane.classList.add("hidden");
+  }
+}
+
+</script>
+<div class="master-wrapper">
+<div class="block master-tbl"><div>
+<style scoped="">
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+<thead>
+<tr style="text-align: right;">
+<th>project</th>
+<th>uid</th>
+<th>iter</th>
+<th>start</th>
+<th>state</th>
+<th>name</th>
+<th>labels</th>
+<th>inputs</th>
+<th>parameters</th>
+<th>results</th>
+<th>artifacts</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td>default</td>
+<td><div title="d1384cb679bc4c178b0195d964b628a8">...b628a8</div></td>
+<td>0</td>
+<td>Jul 16 14:14:01</td>
+<td>completed</td>
+<td>transcribe-transcribe</td>
+<td><div class="dictlist">kind=</div><div class="dictlist">owner=Yonatan_Shelach</div><div class="dictlist">host=M-QWXQJK77Q0</div></td>
+<td></td>
+<td><div class="dictlist">model_name=tiny</div><div class="dictlist">audio_files_directory=./data</div><div class="dictlist">decoding_options={'fp16': False}</div><div class="dictlist">output_directory=./output</div></td>
+<td></td>
+<td><div title="/var/folders/xj/f2mp2b75749cr74wj4wvcnm00000gp/T/tmpip3nl1vs/transcribe-transcribe/0/transcriptions.zip">transcriptions</div><div title="/var/folders/xj/f2mp2b75749cr74wj4wvcnm00000gp/T/tmpip3nl1vs/transcribe-transcribe/0/transcriptions_df.parquet">transcriptions_df</div><div title="/var/folders/xj/f2mp2b75749cr74wj4wvcnm00000gp/T/tmpip3nl1vs/transcribe-transcribe/0/transcriptions_errors.yaml">transcriptions_errors</div></td>
+</tr>
+</tbody>
+</table>
+</div></div>
+<div class="right-pane block hidden" id="resultbf9845e1-pane">
+<div class="pane-header">
+<span class="pane-header-title" id="resultbf9845e1-title">Title</span>
+<span class="close clickable" onclick="closePanel(this)" panename="resultbf9845e1">×</span>
+</div>
+<iframe class="fileview" id="resultbf9845e1-body"></iframe>
+</div>
+</div>
+</div><div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+<div class="output text_html"><b> &gt; to track results use the .show() or .logs() methods </b></div><div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&gt; 2023-07-16 17:14:12,721 [info] Run execution finished: {'status': 'completed', 'name': 'transcribe-transcribe'}
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">transcribe_run</span><span class="o">.</span><span class="n">outputs</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>{'transcriptions': 'store://artifacts/default/transcribe-transcribe_transcriptions:d1384cb679bc4c178b0195d964b628a8',
+ 'transcriptions_df': 'store://artifacts/default/transcribe-transcribe_transcriptions_df:d1384cb679bc4c178b0195d964b628a8',
+ 'transcriptions_errors': 'store://artifacts/default/transcribe-transcribe_transcriptions_errors:d1384cb679bc4c178b0195d964b628a8'}
+</pre></div>
+</div>
+</div>
+</div>
+<p><strong>Notice</strong>: If connected to mlrun server, you can simply use:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">df</span> <span class="o">=</span> <span class="n">transcribe_run</span><span class="o">.</span><span class="n">artifact</span><span class="p">(</span><span class="s2">"transcriptions_df"</span><span class="p">)</span>
+</pre></div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">artifact_path</span> <span class="o">+=</span> <span class="sa">f</span><span class="s2">"/</span><span class="si">{</span><span class="n">transcribe_run</span><span class="o">.</span><span class="n">metadata</span><span class="o">.</span><span class="n">name</span><span class="si">}</span><span class="s2">/</span><span class="si">{</span><span class="n">transcribe_run</span><span class="o">.</span><span class="n">metadata</span><span class="o">.</span><span class="n">iteration</span><span class="si">}</span><span class="s2">/"</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">df</span> <span class="o">=</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">get_dataitem</span><span class="p">(</span><span class="n">artifact_path</span> <span class="o">+</span> <span class="s2">"transcriptions_df.parquet"</span><span class="p">)</span><span class="o">.</span><span class="n">as_df</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+</div>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">df</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_html"><div>
+<style scoped="">
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>audio_file</th>
+<th>transcription_file</th>
+<th>language</th>
+<th>length</th>
+<th>rate_of_speech</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>0</th>
+<td>speech_01.mp3</td>
+<td>speech_01.txt</td>
+<td>en</td>
+<td>2.011333</td>
+<td>3.480278</td>
+</tr>
+<tr>
+<th>1</th>
+<td>speech_02.mp3</td>
+<td>speech_02.txt</td>
+<td>en</td>
+<td>20.793500</td>
+<td>2.548873</td>
+</tr>
+</tbody>
+</table>
+</div></div></div>
+</div>
+</section>
+</section>
+</div>
+</main>
+<footer class="footer-article noprint">
+<!-- Previous / next buttons -->
+<div class="prev-next-area">
+</div>
+</footer>
+</div>
+</div>
+<div class="footer-content row">
+<footer class="col footer"><p>
+  
+      © Copyright .<br/>
+</p>
+</footer>
+</div>
+</div>
+</div>
+</div>
+<!-- Scripts loaded after <body> so the DOM is not blocked -->
+<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf"></script>
+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/transcribe/1.1.0/static/function.html b/functions/master/transcribe/1.1.0/static/function.html
new file mode 100644
index 00000000..befb810a
--- /dev/null
+++ b/functions/master/transcribe/1.1.0/static/function.html
@@ -0,0 +1,333 @@
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta content="IE=edge" http-equiv="X-UA-Compatible">
+    <meta content="width=device-width, initial-scale=1.0" name="viewport">
+    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/styles/atom-one-dark.min.css">
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/highlight.min.js"></script>
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/languages/yaml.min.js"></script>
+    <title>Source</title>
+    <script>hljs.highlightAll();</script>
+</head>
+
+<body style="background-color:darkgray; margin: 0 0 0 0;">
+    <pre style="margin: 0 1em;">
+        <code class="yaml">
+kind: job
+metadata:
+  name: transcribe
+  tag: ''
+  hash: 8810ac74045bd15cee15a2e4e89563e8e29908d3
+  project: ''
+  labels:
+    author: yonatans
+  categories:
+  - data-preparation
+  - genai
+  - huggingface
+  - machine-learning
+spec:
+  command: ''
+  args: []
+  image: ''
+  build:
+    functionSourceCode: # Copyright 2024 Iguazio
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import logging
import operator
import os
import tempfile
from functools import reduce, wraps
from multiprocessing import Process, Queue
from pathlib import Path
from typing import Any, Dict, Generator, List, Literal, NamedTuple, Tuple, Union

import pandas as pd
import torch
import torchaudio
from tqdm import tqdm
from transformers import (
    AutomaticSpeechRecognitionPipeline,
    AutoModelForCausalLM,
    pipeline,
)
from transformers.utils import is_flash_attn_2_available


class BaseTask:
    """
    A task to write the transcription to file.
    """

    def __init__(
        self, audio_file: Path, transcription_output: Union[dict, str], text_file: Path
    ):
        """
        Initialize the task.

        :param audio_file:           Path to the audio file that was transcribed.
        :param transcription_output: The transcription output from the pipeline. String means an exception was raised.
        :param text_file:            Path to the text file to write the transcription to.
        """
        # Store the parameters:
        self._audio_file = audio_file
        self._transcription_output = transcription_output
        self._text_file = text_file

        # Prepare the error variable:
        self._error: str = None

    def do_task(self):
        """
        Try to perform the task storing an error if occurred.
        """
        if isinstance(self._transcription_output, str):
            self._error = self._transcription_output
            return
        try:
            self._do_task()
        except Exception as exception:
            self._error = str(exception)

    def is_failed(self) -> bool:
        """
        Check if the task failed.

        :returns: Whether the task failed.
        """
        return self._error is not None

    def get_result(self) -> Tuple[str, str]:
        """
        Get the result of the task. If the task failed, the error will be returned, otherwise, the result will be the
        text file name.

        :returns: The task's result.
        """
        if self.is_failed():
            return self._audio_file.name, self._error
        return self._audio_file.name, self._text_file.name

    def to_tuple(self) -> Tuple[str, dict]:
        """
        Convert the task to a tuple to reconstruct it later (used for multiprocessing to pass in queue).

        :returns: The converted task.
        """
        return self.__class__.__name__, {
            "audio_file": self._audio_file,
            "transcription_output": self._transcription_output,
            "text_file": self._text_file,
        }

    def _do_task(self):
        """
        Perform the task - write the transcription to the stored file path.
        """
        # Checking for no duplications:
        i = 1
        while self._text_file.exists():
            i += 1
            self._text_file = (
                self._text_file.parent
                / f"{self._text_file.stem.rsplit('_', 1)[0]}_{i}{self._text_file.suffix}"
            )

        # Make sure all directories are created:
        self._text_file.parent.mkdir(exist_ok=True, parents=True)

        # Write to file:
        with open(self._text_file, "w") as fp:
            fp.write(self._transcription_output["text"])


class SpeechDiarizationTask(BaseTask):
    """
    A task to write the transcription to file with respect to a given speech diarization.
    """

    class _DiarizationSegment(NamedTuple):
        """
        A speech diarization segment.
        """

        start: float
        end: float
        speaker: str

    class _WordTimestamp(NamedTuple):
        """
        A word with its start and end timestamps.
        """

        start: float
        end: float
        text: str

    def __init__(
        self,
        audio_file: Path,
        transcription_output: dict,
        text_file: Path,
        speech_diarization: List[Tuple[float, float, str]],
    ):
        """
        Initialize the task.

        :param audio_file:           Path to the audio file that was transcribed.
        :param transcription_output: The transcription output from the pipeline.
        :param text_file:            Path to the text file to write the transcription to.
        :param speech_diarization:   A speech diarization as a list of tuples: (start, end, speaker).
        """
        super().__init__(
            audio_file=audio_file,
            transcription_output=transcription_output,
            text_file=text_file,
        )
        self._speech_diarization = speech_diarization
        self._segments: List[SpeechDiarizationTask._DiarizationSegment] = None
        self._last_chosen_index = 0

    def to_tuple(self) -> Tuple[str, dict]:
        """
        Convert the task to a tuple to reconstruct it later (used for multiprocessing to pass in queue).

        :returns: The converted task.
        """
        task_class, task_kwargs = super().to_tuple()
        return task_class, {
            **task_kwargs,
            "speech_diarization": self._speech_diarization,
        }

    def _do_task(self):
        """
        Perform the task - write the transcription to the stored file path with respect to the given speech diarization.
        """
        # Check if a speech diarization is given, if not, just write the transcription to file:
        if not self._speech_diarization:
            super()._do_task()
            return

        # Cast the chunks to word timestamps tuples:
        words = [
            SpeechDiarizationTask._WordTimestamp(
                start=chunk["timestamp"][0],
                end=chunk["timestamp"][1],
                text=chunk["text"],
            )
            for chunk in self._transcription_output["chunks"]
        ]

        # Cast speech diarization to segments tuples:
        self._segments = [
            SpeechDiarizationTask._DiarizationSegment(*segment)
            for segment in self._speech_diarization
        ]

        # Try to match the Whisper model predicted timestamps to the closest diarization segment (closest diarization
        # segment will be the most overlapping with the word, and if there is no overlap, the closest segment to the
        # word):
        speaker = self._segments[self._last_chosen_index].speaker
        text = f"{speaker}:"
        for word in words:
            # Get the next diarization segment:
            self._get_next_segment(word=word)
            # Check if the segment is of the same speaker:
            if self._segments[self._last_chosen_index].speaker == speaker:
                # Collect the word:
                text += word.text
            else:
                # Append a newline and update the new speaker:
                speaker = self._segments[self._last_chosen_index].speaker
                text += f"\n{speaker}:{word.text}"

        # Update the transcription output with the new text to write it to file:
        self._transcription_output["text"] = text
        super()._do_task()

    def _get_next_segment(
        self,
        word: _WordTimestamp,
    ):
        """
        Get the next diarization segment the given word falls into. The `self._last_chosen_index` will be updated
        accordingly.

        :param word: The word timestamp to match to the next segment.
        """
        # If the last chosen segment is the last segment, return it:
        if self._last_chosen_index == len(self._segments) - 1:
            return

        # Get the last chosen diarization segment:
        last_chosen = self._segments[self._last_chosen_index]

        # None value may appear if the word is the last word in the audio file, or it was split during inference. In
        # that case, we'll set the last segment:
        if word.end is None:
            self._last_chosen_index = len(self._segments) - 1
            return

        # If the word ends before the last chosen segment:
        if word.end <= last_chosen.start:
            # Then it is still the closest segment
            return

        # We check if it ends inside the last chosen segment:
        if word.end < last_chosen.end:
            # Then it still is the closest segment
            return

        # The word ends after the segment, we need to collect all next segments up until the word ends before them:
        possible_segments = [self._last_chosen_index]
        for i in range(self._last_chosen_index + 1, len(self._segments)):
            if word.end > self._segments[i].end:
                possible_segments.append(i)
                continue
            possible_segments.append(i)
            break

        # Check for the most overlapping option:
        best_overlap = 0
        most_overlapping_segment_index = None
        for i in possible_segments:
            # If the word starts before segment:
            if word.start <= self._segments[i].start:
                # If it ends before the segment, there is an overlap from the start of the segment to the end of the
                # word:
                if word.end < self._segments[i].end:
                    overlap = word.end - self._segments[i].start
                else:
                    # The word is wrapping the segment, the overlap is the segment's length:
                    overlap = self._segments[i].end - self._segments[i].start
            # The word starts in segment, check if the word ends in it:
            elif word.end < self._segments[i].end:
                # The overlap is the word's length:
                overlap = word.end - word.start
            # The word start in segment but ends after it, the overlap is from the word's start to the segment's end:
            else:
                overlap = self._segments[i].end - word.start
            # Check for new best overlap:
            if overlap > best_overlap:
                best_overlap = overlap
                most_overlapping_segment_index = i
        if most_overlapping_segment_index is not None:
            self._last_chosen_index = most_overlapping_segment_index
            return

        # If there is no overlapping segment, return the closest segment:
        best_distance = None
        closest_segment_index = None
        for i in possible_segments:
            distance = (
                word.start - self._segments[i].end
                if word.start > self._segments[i].end
                else self._segments[i].start - word.end
            )
            if best_distance is None or distance < best_distance:
                best_distance = distance
                closest_segment_index = i
        self._last_chosen_index = closest_segment_index


class SpeechDiarizationPerChannelTask(BaseTask):
    """
    A task to write the transcription to file with respect to a given speech diarization per channel.
    """

    class _WordTimestamp(NamedTuple):
        """
        A word with its start and end timestamps and speaker label (channel the word was taken from).
        """

        start: float
        end: float
        speaker: str
        text: str

    def __init__(self, audio_file: Path, text_file: Path):
        """
        Initialize the task.

        :param audio_file: Path to the audio file that was transcribed.
        :param text_file:  Path to the text file to write the transcription to.
        """
        super().__init__(
            audio_file=audio_file, transcription_output={}, text_file=text_file
        )
        self._transcription_output_channels: List[Tuple[str, dict]] = []

    @property
    def transcription_output_channels(self) -> List[Tuple[str, dict]]:
        """
        Get the transcription output channels.

        :returns: The transcription output channels.
        """
        return self._transcription_output_channels

    def do_task(self):
        """
        Try to perform the task storing an error if occurred.
        """
        for _, channel_output in self._transcription_output_channels:
            if isinstance(channel_output, str):
                self._error = self._transcription_output_channels
                return
        super().do_task()

    def to_tuple(self) -> Tuple[str, dict]:
        """
        Convert the task to a tuple to reconstruct it later (used for multiprocessing to pass in queue).

        :returns: The converted task.
        """
        task_class, task_kwargs = super().to_tuple()
        task_kwargs.pop("transcription_output")
        return task_class, task_kwargs

    def _do_task(self):
        """
        Perform the task - write the transcription to the stored file path with respect to the given speech diarization
        per channel.
        """
        # Cast the chunks to word timestamps tuples:
        words_per_channel = [
            [
                SpeechDiarizationPerChannelTask._WordTimestamp(
                    start=chunk["timestamp"][0],
                    end=chunk["timestamp"][1],
                    speaker=speaker,
                    text=chunk["text"],
                )
                for chunk in output["chunks"]
            ]
            for speaker, output in self._transcription_output_channels
        ]

        # Merge and sort the words per channel by their start time:
        words = operator.add(*words_per_channel)
        words.sort()

        # Write the transcription to file:
        current_speaker = words[0].speaker
        text = f"{current_speaker}:"
        for word in words:
            # Check if the word's speaker is different from the current one:
            if word.speaker != current_speaker:
                # Append a newline and update the new speaker:
                current_speaker = word.speaker
                text += f"\n{current_speaker}:"
            # Collect the word:
            text += word.text

        # Update the transcription output with the new text to write it to file:
        self._transcription_output["text"] = text
        super()._do_task()


class BatchProcessor:
    """
    A batch processor to process batches of transcriptions. The batch processor is creating tasks and is aimed to be
    working along the transcriber. It can be used with multiprocessing queue or run the tasks directly using the
    associated methods.
    """

    def __init__(self, audio_files: List[Path], output_directory: Path):
        """
        Initialize the batch processor.

        :param audio_files:      The list of all audio files to transcribe.
        :param output_directory: The output directory to write the transcriptions to.
        """
        # Store the parameters:
        self._audio_files = audio_files
        self._output_directory = output_directory

        # Prepare the batching variables:
        self._current_file_index = 0
        self._tasks: List[BaseTask] = []
        self._results: List[Tuple[bool, Tuple[str, str]]] = []

    def process_batch(self, batch: List[Union[dict, str]]):
        """
        Process a batch of transcriptions. Tasks related to the given batch will be created and stored in the batch
        processor.

        :param batch: The batch of transcriptions to process.
        """
        # Get the relevant files belongs to the given batch:
        current_files = self._get_current_files(batch_size=len(batch))

        # Build the diarization tasks:
        self._tasks.extend(
            [
                BaseTask(
                    audio_file=file,
                    transcription_output=batch[i],
                    text_file=self._output_directory / f"{file.stem}.txt",
                )
                for i, file in enumerate(current_files)
            ]
        )

    def get_tasks(self) -> List[BaseTask]:
        """
        Get the tasks to perform.

        :returns: The tasks to perform.
        """
        tasks = self._tasks
        self._tasks = []
        return tasks

    def do_tasks(self):
        """
        Perform the tasks. Should be used if no multiprocessing queue is given to a transcriber.
        """
        for task in self.get_tasks():
            task.do_task()
            self._results.append((task.is_failed(), task.get_result()))

    def get_results(self) -> List[Tuple[bool, Tuple[str, str]]]:
        """
        Get the results of the tasks. The stored results are then cleared.

        :returns: The results of the tasks.
        """
        results = self._results
        self._results = []
        return results

    def _get_current_files(self, batch_size: int) -> List[Path]:
        """
        Get the current files to process.

        :param batch_size: The batch size to progress the current file index.

        :returns: The current files to process.
        """
        end_index = (
            self._current_file_index + batch_size
            if self._current_file_index + batch_size < len(self._audio_files)
            else len(self._audio_files)
        )
        current_files = self._audio_files[self._current_file_index : end_index]
        self._current_file_index = end_index
        return current_files


class SpeechDiarizationBatchProcessor(BatchProcessor):
    """
    A batch processor to process batches of transcriptions with respect to a given speech diarization. The batch
    processor is creating tasks and is aimed to be working along the transcriber. It can be used with multiprocessing
    queue or run the tasks directly using the associated methods.
    """

    def __init__(
        self, audio_files: List[Path], output_directory: Path, speech_diarization: dict
    ):
        """
        Initialize the batch processor.

        :param audio_files:        The list of all audio files to transcribe.
        :param output_directory:   The output directory to write the transcriptions to.
        :param speech_diarization: A speech diarization dictionary to pass along with each processed batch.
        """
        super().__init__(audio_files=audio_files, output_directory=output_directory)
        self._speech_diarization = speech_diarization
        self._audio_files = audio_files

    def process_batch(self, batch: List[dict]):
        """
        Process a batch of transcriptions. Tasks related to the given batch will be created and stored in the batch
        processor.

        :param batch: The batch of transcriptions to process.
        """
        # Get the relevant files belongs to the given batch:
        current_files = self._get_current_files(batch_size=len(batch))

        # Build the diarization tasks:
        self._tasks.extend(
            [
                SpeechDiarizationTask(
                    audio_file=file,
                    transcription_output=batch[i],
                    text_file=self._output_directory / f"{file.stem}.txt",
                    speech_diarization=self._speech_diarization.get(file.name),
                )
                for i, file in enumerate(current_files)
            ]
        )


class PerChannelSpeechDiarizationBatchProcessor(BatchProcessor):
    """
    A batch processor to process batches of transcriptions per channel. The batch processor is creating tasks with the
    selected amount of channels given and is aimed to be working along the transcriber. It can be used with
    multiprocessing queue or run the tasks directly using the associated methods.
    """

    def __init__(
        self,
        audio_files: List[Path],
        output_directory: Path,
        n_channels: int,
        speakers: List[str],
    ):
        """
        Initialize the batch processor.

        :param audio_files:      The list of all audio files to transcribe.
        :param output_directory: The output directory to write the transcriptions to.
        :param n_channels:       The number of channels in each audio file to transcribe.
        :param speakers:         The speakers labels to use for each channel.
        """
        super().__init__(audio_files=audio_files, output_directory=output_directory)

        # Store the parameters:
        self._n_channels = n_channels
        self._speakers = speakers

        # Prepare a channel buffer to store the channels until the current task created is fully covered:
        self._task_in_process: SpeechDiarizationPerChannelTask = None

    def process_batch(self, batch: List[dict]):
        """
        Process a batch of transcriptions. Tasks related to the given batch will be created and stored in the batch
        processor.

        :param batch: The batch of transcriptions to process.
        """
        # Go over the batch and create the tasks:
        for output in batch:
            # Check if there is a task in process:
            if not self._task_in_process:
                # Create a new task:
                self._task_in_process = SpeechDiarizationPerChannelTask(
                    audio_file=self._audio_files[self._current_file_index],
                    text_file=self._output_directory
                    / f"{self._audio_files[self._current_file_index].stem}.txt",
                )
            # Get the channel's speaker:
            speaker = self._speakers[
                len(self._task_in_process.transcription_output_channels)
            ]
            # Collect the channel into the processed task:
            self._task_in_process.transcription_output_channels.append(
                (speaker, output)
            )
            # Check if the task is fully covered (all channels are collected):
            if (
                len(self._task_in_process.transcription_output_channels)
                == self._n_channels
            ):
                # Collect the task and reset the task in process:
                self._tasks.append(self._task_in_process)
                self._current_file_index += 1
                self._task_in_process = None


class Transcriber:
    """
    A transcription wrapper for the Huggingface's ASR pipeline -
    https://huggingface.co/transformers/main_classes/pipelines.html#transformers.AutomaticSpeechRecognitionPipeline to
    use with OpenAI's Whisper models - https://huggingface.co/openai.
    """

    def __init__(
        self,
        model_name: str,
        device: str = None,
        use_flash_attention_2: bool = None,
        use_better_transformers: bool = None,
        assistant_model: str = None,
        max_new_tokens: int = 128,
        chunk_length_s: int = 30,
        batch_size: int = 2,
        spoken_language: str = None,
        translate_to_english: bool = False,
        return_timestamps: Union[bool, Literal["word"]] = False,
        per_channel_transcription: int = 0,
    ):
        """
        Initialize the transcriber.

        :param model_name:                The model name to use. Should be a model from the OpenAI's Whisper models for
                                          best results (for example "tiny", "base", "large", etc.).
        :param device:                    The device to use for inference. If not given, will use GPU if available.
        :param use_flash_attention_2:     Whether to use the Flash Attention 2 implementation. It can be used only with
                                          one of the following GPUs: Nvidia H series and Nvidia A series. T4 support
                                          will be available soon.

                                          Note: If both `use_flash_attention_2` and
                                          `use_better_transformers` are `None`, the optimization will be chosen
                                          automatically according to the available resources.

        :param use_better_transformers:   Whether to use the Better Transformers library to further optimize the model.
                                          Should be used for all use cases that do not support flash attention 2.

                                          Note: If both `use_flash_attention_2` and `use_better_transformers` are
                                          `None`, the optimization will be chosen automatically according to the
                                          available resources.
       :param assistant_model:           The assistant model name to use for inference. Notice that the optimizations
                                          (flash attention 2 and better transformers) will be applied for the assistant
                                          as well. Should be a model from Huggingface's distil-whisper (see here for
                                          more information: https://github.com/huggingface/distil-whisper).
        :param max_new_tokens:            The maximum number of new tokens to generate. This is used to limit the
                                          generation length. Default is 128 tokens.
        :param chunk_length_s:            The audio chunk to split the audio to (in seconds). Default is 30 seconds.
        :param batch_size:                The batch size to use for inference. Default is 2.
        :param spoken_language:           Aim whisper to know what language is spoken. If None, it will try to detect it
                                          for each chunk.
        :param translate_to_english:      Whether to translate the transcriptions to English. Default is False.
        :param return_timestamps:         Whether to return the timestamps of the words. If "word", will return the
                                          timestamps of each word. If True will return the timestamps of each chunk.
                                          Default is False. Aimed to be used for speech diarization.
        :param per_channel_transcription: Whether to do per channel transcription. If needed to run per channel
                                          transcription, pass the number of channels expected for each audio file here.
                                          0 means regular transcription (merge channels).

                                          Note: If `per_channel_transcription` is not 0, `batch_size` must be treated to
                                          be the number of channels and not audio files. Aimed to be used for per
                                          channel speech diarization.
        """
        # Store loading parameters:
        self._model_name = model_name
        self._device = device
        self._use_flash_attention_2 = use_flash_attention_2
        self._use_better_transformers = use_better_transformers
        self._max_new_tokens = max_new_tokens
        self._chunk_length_s = chunk_length_s
        self._batch_size = batch_size
        self._return_timestamps = return_timestamps
        self._per_channel_transcription = per_channel_transcription

        # Store generation parameters:
        self._assistant_model = assistant_model
        self._spoken_language = spoken_language
        self._translate_to_english = translate_to_english

        # Prepare the transcription objects:
        self._transcription_pipeline: AutomaticSpeechRecognitionPipeline = None
        self._generate_kwargs: dict = None

    def load(self):
        """
        Load the transcriber. Must be called before transcribing.
        """
        # Set the device and data type to use (prefer GPU if available):
        device = torch.device(
            self._device or "cuda" if torch.cuda.is_available() else "cpu"
        )
        torch_dtype = torch.float16 if device.type == "cuda" else torch.float32

        # Choose the optimization to use (in case the user did not specify any):
        if (
            self._use_flash_attention_2 is None
            and self._use_better_transformers is None
        ):
            # Prefer to use flash attention 2 if available and cuda device is supported (see GPU names to architecture
            # here: https://en.wikipedia.org/wiki/List_of_Nvidia_graphics_processing_units#Tesla):
            if device.type == "cuda" and is_flash_attn_2_available():
                cuda_device_name = torch.cuda.get_device_properties(device).name
                if any(
                    cuda_device_name.startswith(gpu_name)
                    for gpu_name in [
                        "NVIDIA A",  # For Ampere architecture (e.g. A10, A30, A100)
                        "NVIDIA H",  # For Hopper architecture (e.g. H100)
                        "NVIDIA L",  # For Ada Lovelace architecture (e.g. L4, L40)
                        "NVIDIA RTX 30",  # For Ada Lovelace architecture (RTX 30 series)
                        "NVIDIA RTX 40",  # For Ada Lovelace architecture (RTX 40 series)
                        "NVIDIA RTX 50",  # For Ada Lovelace architecture (RTX 50 series)
                        # Will be supported soon according to FlashAttention GitHub repo:
                        # https://github.com/Dao-AILab/flash-attention?tab=readme-ov-file#installation-and-features
                        # "NVIDIA T4",  # For Turing architecture (only T4)
                        # "NVIDIA RTX 20",  # For Turing architecture (RTX 20 series)
                    ]
                ):
                    self._use_flash_attention_2 = True
                else:
                    self._use_better_transformers = True
            else:
                self._use_better_transformers = True

        # Build the optimizations kwargs:
        model_kwargs = {
            "low_cpu_mem_usage": True,
            "use_safetensors": True,
        }
        if self._use_flash_attention_2:
            if _LOGGER:
                _LOGGER.info(
                    "Using FlashAttention2 optimization - make sure the `flash-attn` package is installed via "
                    "`pip install -U flash-attn --no-build-isolation`"
                )
            model_kwargs["attn_implementation"] = "flash_attention_2"
        elif self._use_better_transformers:
            if _LOGGER:
                _LOGGER.info(
                    "Using BetterTransformers optimization - make sure the `optimum` package is installed via "
                    "`pip install -U optimum`"
                )
            model_kwargs["attn_implementation"] = "sdpa"

        # Initialize the speech recognition pipeline:
        self._transcription_pipeline = pipeline(
            task="automatic-speech-recognition",
            model=self._model_name,
            model_kwargs=model_kwargs.copy(),
            batch_size=self._batch_size,
            max_new_tokens=self._max_new_tokens,
            chunk_length_s=self._chunk_length_s,
            return_timestamps=self._return_timestamps,
            torch_dtype=torch_dtype,
            device=device,
        )

        # Prepare the generation kwargs:
        self._generate_kwargs = {
            "language": self._spoken_language,
            "task": "translate" if self._translate_to_english else "transcribe",
        }

        # Initialize the assistant model (if needed):
        if self._assistant_model:
            assistant_model = AutoModelForCausalLM.from_pretrained(
                self._assistant_model, torch_dtype=torch_dtype, **model_kwargs
            )
            assistant_model.to(device)
            self._generate_kwargs["assistant_model"] = assistant_model

    def transcribe(
        self,
        audio_files: List[Path],
        batch_processor: BatchProcessor = None,
        batches_queue: Queue = None,
        verbose: bool = False,
    ) -> Union[List[List[dict]], None]:
        """
        Transcribe the given audio files. The transcriptions will be sent to a queue or a batch processor for further
        processing like writing to text files. If no queue or batch processor is given, the transcriptions outputs from
        the pipeline will be returned. Otherwise, `None` is returned.

        :param audio_files:     The audio files to transcribe.
        :param batch_processor: A batch processor.
        :param batches_queue:   A multiprocessing queue to put the batches in.
        :param verbose:         Whether to show a progress bar. Default is False.

        :returns: The transcriptions outputs from the pipeline if no queue or batch processor is given, otherwise,
                  `None`.
        """
        # Wrap the audio files with a function to iterate over them via a generator (save memory and runtime with
        # Huggingface's pipelines as they preload each input while inference is running):
        def audio_iterator() -> Generator[Union[dict, str], None, None]:
            if self._per_channel_transcription:
                for audio_file in audio_files:
                    audio, sampling_rate = torchaudio.load(str(audio_file))
                    audio = audio.numpy()
                    for channel in audio:
                        yield {"raw": channel, "sampling_rate": sampling_rate}
            else:
                for audio_file in audio_files:
                    yield str(audio_file)

        # Create a batch iterator:
        def batch_iterator() -> Generator[List[Union[dict, str]], None, None]:
            batch = []
            for audio in audio_iterator():
                batch.append(audio)
                if len(batch) == self._batch_size:
                    yield batch
                    batch = []
            if batch:
                yield batch

        # Prepare the successes dataframe and errors dictionary to be returned:
        outputs = []

        # Infer through the pipeline:
        for input_batch in tqdm(
            batch_iterator() if self._batch_size > 1 else audio_iterator(),
            desc="Transcribing",
            unit="channel" if self._per_channel_transcription else "audio file",
            total=(
                (
                    (len(audio_files) // self._batch_size)
                    + (len(audio_files) % self._batch_size != 0)
                )
                * (self._per_channel_transcription or 1)
            ),
            disable=not verbose,
        ):
            # Infer:
            try:
                output_batch = self._transcription_pipeline(
                    input_batch,
                    generate_kwargs=self._generate_kwargs,
                )
            except Exception as exception:
                # Collect the exception:
                output_batch = str(exception)
                # Align to batch size:
                output_batch = (
                    [output_batch] * len(input_batch)
                    if isinstance(input_batch, list)
                    else [output_batch]
                )
            # To align with batching, if batch size is 1, wrap the output with a list:
            if isinstance(output_batch, dict):
                output_batch = [output_batch]
            # If a batch processor is given, process the batch:
            if batch_processor:
                # Process it directly:
                batch_processor.process_batch(batch=output_batch)
                batch_processor.do_tasks()
            elif batches_queue:
                # Otherwise, queue the batch:
                batches_queue.put(output_batch)
            else:
                # Otherwise, collect the output as is without processing:
                outputs.append(output_batch)

        # Check if given a multiprocessing queue or a batch processor:
        if batches_queue:
            batches_queue.put(_MULTIPROCESSING_STOP_MARK)

        return outputs if not batch_processor else None


#: The value to send into multiprocessing queues to stop the process:
_MULTIPROCESSING_STOP_MARK = "STOP"


def _multiprocessing_process_batches(
    batch_processor: BatchProcessor,
    batches_queue: Queue,
    tasks_queue: Queue,
    n_task_completers: int,
):
    """
    Process the batches in the given batches queue and put the tasks in the given tasks queue. The function will stop
    when the given batches queue will receive the stop mark. It is aimed to be used with multiprocessing as a process.

    :param batch_processor:   A batch processor to process the batches.
    :param batches_queue:     A queue to get the batches from.
    :param tasks_queue:       A queue to put the tasks in.
    :param n_task_completers: The number of task completers (processes that run the `_multiprocessing_complete_tasks`
                              function). A stop mark will be sent to the tasks queue for each task completer.
    """
    while True:
        # Get the batch:
        batch: List[dict] = batches_queue.get()
        if batch == _MULTIPROCESSING_STOP_MARK:
            break

        # Process the batch:
        batch_processor.process_batch(batch=batch)

        # Get the tasks:
        tasks = batch_processor.get_tasks()

        # Queue the tasks:
        for task in tasks:
            tasks_queue.put(task.to_tuple())

    # Mark the end of the batches:
    for _ in range(n_task_completers):
        tasks_queue.put(_MULTIPROCESSING_STOP_MARK)


def _multiprocessing_complete_tasks(tasks_queue: Queue, results_queue: Queue):
    """
    Complete the tasks in the given queue and put the results in the given results queue. The function will stop when
    the given tasks queue will receive the stop mark. It is aimed to be used with multiprocessing as a process.

    :param tasks_queue:   A queue to get the tasks from.
    :param results_queue: A queue to put the results in.
    """
    tasks_map = {
        BaseTask.__name__: BaseTask,
        SpeechDiarizationTask.__name__: SpeechDiarizationTask,
        SpeechDiarizationPerChannelTask.__name__: SpeechDiarizationPerChannelTask,
    }

    while True:
        # Get the task:
        task = tasks_queue.get()
        if task == _MULTIPROCESSING_STOP_MARK:
            break

        # Reconstruct the task:
        task_class, task_kwargs = task
        task = tasks_map[task_class](**task_kwargs)

        # Complete the task:
        task.do_task()
        results_queue.put((task.is_failed(), task.get_result()))

    # Mark the end of the tasks:
    results_queue.put(_MULTIPROCESSING_STOP_MARK)


# Get the global logger:
_LOGGER = logging.getLogger()


def open_mpi_handler(
    worker_inputs: List[str], root_worker_inputs: Dict[str, Any] = None
):
    global _LOGGER

    # Check for MLRun and OpenMPI availability:
    context, comm = _check_mlrun_and_open_mpi()

    # Check if MLRun is available, set the global logger to MLRun's:
    if context:
        _LOGGER = context.logger

    def decorator(handler):
        if comm is None or comm.Get_size() == 1:
            return handler

        @wraps(handler)
        def wrapper(**kwargs):
            # Get the open mpi environment properties:
            size = comm.Get_size()
            rank = comm.Get_rank()

            # Give the correct chunk of the workers inputs:
            for worker_input in worker_inputs:
                input_argument = kwargs[worker_input]
                if input_argument is None:
                    continue
                if isinstance(input_argument, str):
                    input_argument = _get_audio_files(
                        data_path=Path(input_argument).absolute()
                    )
                if len(input_argument) < size:
                    raise ValueError(
                        f"Cannot split the input '{worker_input}' of length {len(input_argument)} to {size} workers. "
                        f"Please reduce the amount of workers for this input."
                    )
                even_chunk_size = len(input_argument) // size
                chunk_start = rank * even_chunk_size
                chunk_end = (
                    (rank + 1) * even_chunk_size
                    if rank + 1 < size
                    else len(input_argument)
                )
                context.logger.info(
                    f"Rank #{rank}: Processing input chunk of '{worker_input}' "
                    f"from index {chunk_start} to {chunk_end}."
                )
                if isinstance(input_argument, list):
                    input_argument = input_argument[chunk_start:chunk_end]
                elif isinstance(input_argument, pd.DataFrame):
                    input_argument = input_argument.iloc[chunk_start:chunk_end:, :]
                kwargs[worker_input] = input_argument

            # Set the root worker only arguments:
            if rank == 0 and root_worker_inputs:
                kwargs.update(root_worker_inputs)

            # Run the worker:
            output = handler(**kwargs)

            # Save the output directory of this worker:
            output_directory = Path(output[0])

            # Send the output to the root rank (rank #0):
            output = comm.gather(output, root=0)

            # Join the data from all workers:
            if rank == 0:
                context.logger.info("Collecting data from workers to root worker.")

                # Check if there are different output directories:
                output_directories = set([Path(out_dir) for out_dir, _, _ in output])
                for r in range(1, size):
                    # True means the other workers should pass their files to the root worker (rank 0):
                    comm.send(len(output_directories) != 1, dest=r)

                # If there are different output directories, listen to the other workers:
                if len(output_directories) != 1:
                    # Collect the files from the other workers:
                    files = []
                    for r in range(1, size):
                        files.extend(comm.recv(source=r))
                    # Write the files to the root worker's output directory:
                    for file_name, file_content in files:
                        with open(output_directory / file_name, "w") as f:
                            f.write(file_content)

                # Concatenate the dataframes:
                dataframe = pd.concat(objs=[df for _, df, _ in output], axis=0)

                # Concatenate the errors dictionaries:
                errors_dictionary = reduce(
                    operator.ior, [err for _, _, err in output], {}
                )

                return str(output_directory), dataframe, errors_dictionary

            # Listen to rank 0 to see if there are different output directories and this rank need to send its files to
            # it:
            if comm.recv(source=0):
                files = []
                for file in os.listdir(output_directory):
                    with open(output_directory / file, "r") as f:
                        files.append((file, f.read()))
                comm.send(files, dest=0)
            return None

        return wrapper

    return decorator


def _check_mlrun_and_open_mpi() -> Tuple["mlrun.MLClientCtx", "mpi4py.MPI.Intracomm"]:
    is_mpi = False
    try:
        import mlrun

        context = mlrun.get_or_create_ctx(name="mlrun")
        is_mpi = context.labels.get("kind", "job") == "mpijob"

        if is_mpi:
            try:
                from mpi4py import MPI

                return context, MPI.COMM_WORLD
            except ModuleNotFoundError as mpi4py_not_found:
                context.logger.error(
                    "To distribute the function using MLRun's 'mpijob' you need to have `mpi4py` package in your "
                    "interpreter. Please run `pip install mpi4py` and make sure you have open-mpi."
                )
                raise mpi4py_not_found
        else:
            return context, None
    except ModuleNotFoundError as module_not_found:
        if is_mpi:
            raise module_not_found
    return None, None


@open_mpi_handler(worker_inputs=["data_path"], root_worker_inputs={"verbose": True})
def transcribe(
    # Input / Output kwargs:
    data_path: Union[str, Path, List[Union[str, Path]]],
    output_directory: str = None,
    # Model loading kwargs:
    model_name: str = "openai/whisper-tiny",
    device: str = None,
    use_flash_attention_2: bool = None,
    use_better_transformers: bool = None,
    # Generation kwargs:
    assistant_model: str = None,
    max_new_tokens: int = 128,
    chunk_length_s: int = 30,
    batch_size: int = 8,
    spoken_language: str = None,
    translate_to_english: bool = False,
    # Diarization kwargs:
    speech_diarization: Dict[str, List[Tuple[float, float, str]]] = None,
    speech_diarize_per_channel: int = None,
    speaker_labels: List[str] = None,
    # Other kwargs:
    use_multiprocessing: Union[bool, int] = False,
    verbose: bool = False,
):
    """
    Transcribe audio files into text files and collect additional data. The end result is a directory of transcribed
    text files and a dataframe containing the following columns:

    * audio_file - The audio file path.
    * transcription_file - The transcribed text file name in the output directory.

    The transcription is based on Huggingface's ASR pipeline -
    https://huggingface.co/transformers/main_classes/pipelines.html#transformers.AutomaticSpeechRecognitionPipeline and
    is tested with OpenAI's Whisper models - https://huggingface.co/openai.

    If one of the speaker diarization parameters are given (either `speech_diarization` or
    `speech_diarize_per_channel`), the transcription will be written in a conversation format, where each speaker will
    be written in a separate line::

        speaker_1: text
        speaker_2: text
        speaker_1: text
        ...

    :param data_path:                  A directory of audio files or a single file or a list of files to transcribe.
    :param output_directory:           Path to a directory to save all transcribed audio files. If not given, will save
                                       the transcribed files in a temporary directory.
    :param model_name:                 The model name to use. Should be a model from the OpenAI's Whisper models for
                                       best results (for example "tiny", "base", "large", etc.). See here for more
                                       information: https://huggingface.co/openai?search_models=whisper.
    :param device:                     The device to use for inference. If not given, will use GPU if available.
    :param use_flash_attention_2:      Whether to use the Flash Attention 2 implementation. It can be used only with
                                       one of the following GPUs: Nvidia H series and Nvidia A series. T4 support
                                       will be available soon.

                                       Note: If both `use_flash_attention_2` and
                                       `use_better_transformers` are `None`, the optimization will be chosen
                                       automatically according to the available resources.

    :param use_better_transformers:    Whether to use the Better Transformers library to further optimize the model.
                                       Should be used for all use cases that do not support flash attention 2.

                                       Note: If both `use_flash_attention_2` and `use_better_transformers` are
                                       `None`, the optimization will be chosen automatically according to the
                                       available resources.
    :param assistant_model:            The assistant model name to use for inference. Notice that the optimizations
                                       (flash attention 2 and better transformers) will be applied for the assistant as
                                       well. Should be a model from Huggingface's distil-whisper (see here for more
                                       information: https://github.com/huggingface/distil-whisper).

                                       Note: Currently an assistant model is only usable with batch size of 1.
    :param max_new_tokens:             The maximum number of new tokens to generate. This is used to limit the
                                       generation length. Default is 128 tokens.
    :param chunk_length_s:             The audio chunk to split the audio to (in seconds). Default is 30 seconds.
    :param batch_size:                 The batch size to use for inference. Default is 2.
    :param spoken_language:            Aim whisper to know what language is spoken. If None, it will try to detect
                                       it.
    :param translate_to_english:       Whether to translate the transcriptions to English.
    :param speech_diarization:         A speech diarization dictionary with the file names to transcribe as keys and
                                       their diarization as value. The diarization is a list of tuples:
                                       (start, end, speaker). An example
                                       for a diarization dictionary::

                                       {
                                           "audio_file_name": [
                                               {
                                                   "start": 0.0,
                                                   "end": 2.0,
                                                   "speaker": "Agent",
                                               },
                                               {
                                                   "start": 2.0,
                                                   "end": 4.0,
                                                   "speaker": "Client",
                                               },
                                               ...
                                           ],
                                           ...
                                       }

                                       Note: The diarization must be for the entire duration of the audio file (as long
                                       as Whisper is predicting words up until then.
    :param speech_diarize_per_channel: Perform speech diarization per channel. Each speaker is expected to belong to
                                       a separate channel in the audio. Notice: This will make the transcription
                                       slower as each channel wil be transcribed separatly. If a speech diarization
                                       is passed (via the `speech_diarization` parameter), this parameter is
                                       ignored.
    :param speaker_labels:             A list of speaker labels by channel order to use for writing the
                                       transcription with respect to per channel speech diarization. This won't be
                                       used together with a given speech diarization (via the `speech_diarization`
                                       parameter).
    :param use_multiprocessing:        Whether to use multiprocessing to transcribe the audio files. Can be either a
                                       boolean value or an integer. If `True`, will use the default amount of workers
                                       (3): 1 for transcription, 1 for batch processing and 1 for task completion (such
                                       as speech diarization and writing to files). To control the amount of tasks
                                       completion workers, an integer can be provided to specify the amount of workers.
                                       `False`, will use a single process. Default is `False`.
    :param verbose:                    Whether to print the progress of the transcription. Default is `False`.
    """
    global _LOGGER

    # Get the input audio files to transcribe:
    if verbose:
        _LOGGER.info("Collecting audio files.")
    audio_files = _get_audio_files(data_path=data_path)
    if verbose:
        _LOGGER.info(f"Collected {len(audio_files)} audio files.")

    # Get the output directory:
    if output_directory is None:
        if verbose:
            _LOGGER.info("No output directory given, using temporary directory.")
        output_directory = tempfile.mkdtemp()
    output_directory = Path(output_directory).absolute()
    output_directory.mkdir(exist_ok=True, parents=True)
    if verbose:
        _LOGGER.info(f"Transcriptions will be saved to: {output_directory}")

    # Initialize a batch processor according to user requirements (no speech diarization, given speech diarization,
    # speech diarization per channel):
    if speech_diarization:
        batch_processor = SpeechDiarizationBatchProcessor(
            audio_files=audio_files,
            output_directory=output_directory,
            speech_diarization=speech_diarization,
        )
    elif speech_diarize_per_channel:
        batch_processor = PerChannelSpeechDiarizationBatchProcessor(
            audio_files=audio_files,
            output_directory=output_directory,
            n_channels=speech_diarize_per_channel,
            speakers=speaker_labels,
        )
    else:
        batch_processor = BatchProcessor(
            audio_files=audio_files,
            output_directory=output_directory,
        )

    # Initialize the transcription pipeline:
    transcriber = Transcriber(
        device=device,
        use_flash_attention_2=use_flash_attention_2,
        use_better_transformers=use_better_transformers,
        assistant_model=assistant_model,
        model_name=model_name,
        max_new_tokens=max_new_tokens,
        chunk_length_s=chunk_length_s,
        batch_size=batch_size,
        return_timestamps=(
            "word"
            if speech_diarization is not None or speech_diarize_per_channel is not None
            else False
        ),
        per_channel_transcription=speech_diarize_per_channel or 0,
        spoken_language=spoken_language,
        translate_to_english=translate_to_english,
    )

    # Run the transcription:
    if use_multiprocessing:
        results = _parallel_run(
            n_workers=use_multiprocessing
            if isinstance(use_multiprocessing, int)
            else 1,
            audio_files=audio_files,
            batch_processor=batch_processor,
            transcriber=transcriber,
            verbose=verbose,
        )
    else:
        results = _run(
            audio_files=audio_files,
            batch_processor=batch_processor,
            transcriber=transcriber,
            verbose=verbose,
        )

    # Process the results:
    if verbose:
        _LOGGER.info("Summarizing the results.")
    successes = []
    errors = {}
    for is_error, result in results:
        if is_error:
            errors[result[0]] = result[1]
        else:
            successes.append(result)
    successes = pd.DataFrame(successes, columns=["audio_file", "transcription_file"])
    if verbose:
        _LOGGER.info(
            f"Done ({successes.shape[0]}/{len(audio_files)})\n"
            f"Transcriptions summary:\n"
            f"{successes.head()}"
        )

    return str(output_directory), successes, errors


def _get_audio_files(
    data_path: Union[Path, str, list],
) -> List[Path]:
    """
    Get the audio files to transcribe. If a path to a directory is given, all files in the directory will be collected.

    :param data_path: The data path to collect the audio files from.

    :returns: The audio files list.
    """
    # Check if given a list of paths:
    if isinstance(data_path, list):
        audio_files = []
        for path in data_path:
            audio_files.extend(_get_audio_files(data_path=path))
        return audio_files

    # Check if given a single string path to cast it to a `pathlib.Path`:
    if isinstance(data_path, str):
        data_path = Path(data_path).absolute()

    # Check if the path is of a directory or a file:
    if data_path.is_dir():
        # Get all files inside the directory:
        audio_files = list(data_path.glob("*.*"))
    elif data_path.is_file():
        audio_files = [data_path]
    else:
        raise ValueError(
            f"Unrecognized data path. The parameter `data_path` must be a valid path to either a directory path or a "
            f"file. Given: {str(data_path)} "
        )

    return audio_files


def _run(
    audio_files: List[Path],
    batch_processor: BatchProcessor,
    transcriber: Transcriber,
    verbose: bool,
) -> List[Tuple[bool, Tuple[str, str]]]:
    """
    Run the transcription without multiprocessing.

    :param audio_files:     The audio files to transcribe.
    :param batch_processor: The batch processor to use.
    :param transcriber:     The transcriber to use.
    :param verbose:         Verbosity.

    :returns: The collected results.
    """
    # Load the transcription pipeline:
    if verbose:
        _LOGGER.info(f"Loading the transcription pipeline.")
    transcriber.load()
    if verbose:
        _LOGGER.info("Transcription pipeline loaded.")

    # Transcribe the files:
    transcriber.transcribe(
        audio_files=audio_files,
        batch_processor=batch_processor,
        verbose=verbose,
    )

    # Return the results:
    return batch_processor.get_results()


def _parallel_run(
    n_workers: int,
    audio_files: List[Path],
    batch_processor: BatchProcessor,
    transcriber: Transcriber,
    verbose: bool,
):
    """
    Run the transcription with multiprocessing.

    :param n_workers:       The amount of workers to use as task completers.
    :param audio_files:     The audio files to transcribe.
    :param batch_processor: The batch processor to use.
    :param transcriber:     The transcriber to use.
    :param verbose:         Verbosity.

    :returns: The collected results.
    """
    # Initialize the multiprocessing queues:
    batches_queue = Queue()
    tasks_queue = Queue()
    results_queue = Queue()

    # Initialize the multiprocessing processes:
    batch_processing_process = Process(
        target=_multiprocessing_process_batches,
        kwargs={
            "batch_processor": batch_processor,
            "batches_queue": batches_queue,
            "tasks_queue": tasks_queue,
            "n_task_completers": n_workers,
        },
    )
    task_completion_processes = [
        Process(
            target=_multiprocessing_complete_tasks,
            kwargs={"tasks_queue": tasks_queue, "results_queue": results_queue},
        )
        for _ in range(n_workers)
    ]

    # Start the multiprocessing processes:
    batch_processing_process.start()
    for p in task_completion_processes:
        p.start()

    # Load the transcription pipeline:
    if verbose:
        _LOGGER.info(f"Loading the transcription pipeline.")
    transcriber.load()
    if verbose:
        _LOGGER.info("Transcription pipeline loaded.")

    # Transcribe the files:
    transcriber.transcribe(
        audio_files=audio_files, batches_queue=batches_queue, verbose=verbose
    )

    # Collect the results:
    results = []
    stop_marks_counter = 0
    while True:
        # Get a result from the queue:
        result: Tuple[bool, Tuple[str, str]] = results_queue.get()
        if result == _MULTIPROCESSING_STOP_MARK:
            stop_marks_counter += 1
            if stop_marks_counter == n_workers:
                break
        else:
            # Collect the result:
            results.append(result)

    # Wait for the processes to finish:
    results_queue.empty()
    batch_processing_process.join()
    for p in task_completion_processes:
        p.join()

    return results
+    base_image: mlrun/mlrun
+    commands: []
+    code_origin: ''
+    origin_filename: ''
+    requirements:
+    - transformers
+    - tqdm
+    - torchaudio
+    - torch
+    - accelerate
+  entry_points:
+    do_task:
+      name: do_task
+      doc: Try to perform the task storing an error if occurred.
+      parameters:
+      - name: self
+      outputs: []
+      lineno: 348
+      has_varargs: false
+      has_kwargs: false
+    is_failed:
+      name: is_failed
+      doc: Check if the task failed.
+      parameters:
+      - name: self
+      outputs:
+      - doc: Whether the task failed.
+        type: bool
+      lineno: 70
+      has_varargs: false
+      has_kwargs: false
+    get_result:
+      name: get_result
+      doc: 'Get the result of the task. If the task failed, the error will be returned,
+        otherwise, the result will be the
+
+        text file name.'
+      parameters:
+      - name: self
+      outputs:
+      - doc: The task's result.
+        type: Tuple[str, str]
+      lineno: 78
+      has_varargs: false
+      has_kwargs: false
+    to_tuple:
+      name: to_tuple
+      doc: Convert the task to a tuple to reconstruct it later (used for multiprocessing
+        to pass in queue).
+      parameters:
+      - name: self
+      outputs:
+      - doc: The converted task.
+        type: Tuple[str, dict]
+      lineno: 358
+      has_varargs: false
+      has_kwargs: false
+    transcription_output_channels:
+      name: transcription_output_channels
+      doc: Get the transcription output channels.
+      parameters:
+      - name: self
+      outputs:
+      - doc: The transcription output channels.
+        type: List[Tuple[str, dict]]
+      lineno: 340
+      has_varargs: false
+      has_kwargs: false
+    process_batch:
+      name: process_batch
+      doc: 'Process a batch of transcriptions. Tasks related to the given batch will
+        be created and stored in the batch
+
+        processor.'
+      parameters:
+      - name: self
+      - name: batch
+        type: List[dict]
+        doc: The batch of transcriptions to process.
+      outputs: []
+      lineno: 575
+      has_varargs: false
+      has_kwargs: false
+    get_tasks:
+      name: get_tasks
+      doc: Get the tasks to perform.
+      parameters:
+      - name: self
+      outputs:
+      - doc: The tasks to perform.
+        type: List[BaseTask]
+      lineno: 453
+      has_varargs: false
+      has_kwargs: false
+    do_tasks:
+      name: do_tasks
+      doc: Perform the tasks. Should be used if no multiprocessing queue is given
+        to a transcriber.
+      parameters:
+      - name: self
+      outputs: []
+      lineno: 463
+      has_varargs: false
+      has_kwargs: false
+    get_results:
+      name: get_results
+      doc: Get the results of the tasks. The stored results are then cleared.
+      parameters:
+      - name: self
+      outputs:
+      - doc: The results of the tasks.
+        type: List[Tuple[bool, Tuple[str, str]]]
+      lineno: 471
+      has_varargs: false
+      has_kwargs: false
+    load:
+      name: load
+      doc: Load the transcriber. Must be called before transcribing.
+      parameters:
+      - name: self
+      outputs: []
+      lineno: 695
+      has_varargs: false
+      has_kwargs: false
+    transcribe:
+      name: transcribe
+      doc: "Transcribe audio files into text files and collect additional data. The\
+        \ end result is a directory of transcribed\ntext files and a dataframe containing\
+        \ the following columns:\n\n* audio_file - The audio file path.\n* transcription_file\
+        \ - The transcribed text file name in the output directory.\n\nThe transcription\
+        \ is based on Huggingface's ASR pipeline -\nhttps://huggingface.co/transformers/main_classes/pipelines.html#transformers.AutomaticSpeechRecognitionPipeline\
+        \ and\nis tested with OpenAI's Whisper models - https://huggingface.co/openai.\n\
+        \nIf one of the speaker diarization parameters are given (either `speech_diarization`\
+        \ or\n`speech_diarize_per_channel`), the transcription will be written in\
+        \ a conversation format, where each speaker will\nbe written in a separate\
+        \ line::\n\n    speaker_1: text\n    speaker_2: text\n    speaker_1: text\n\
+        \    ..."
+      parameters:
+      - name: data_path
+        type: Union[str, Path, List[Union[str, Path]]]
+        doc: A directory of audio files or a single file or a list of files to transcribe.
+      - name: output_directory
+        type: str
+        doc: Path to a directory to save all transcribed audio files. If not given,
+          will save the transcribed files in a temporary directory.
+        default: null
+      - name: model_name
+        type: str
+        doc: 'The model name to use. Should be a model from the OpenAI''s Whisper
+          models for best results (for example "tiny", "base", "large", etc.). See
+          here for more information: https://huggingface.co/openai?search_models=whisper.'
+        default: openai/whisper-tiny
+      - name: device
+        type: str
+        doc: The device to use for inference. If not given, will use GPU if available.
+        default: null
+      - name: use_flash_attention_2
+        type: bool
+        doc: 'Whether to use the Flash Attention 2 implementation. It can be used
+          only with one of the following GPUs: Nvidia H series and Nvidia A series.
+          T4 support will be available soon.'
+        default: null
+      - name: use_better_transformers
+        type: bool
+        doc: Whether to use the Better Transformers library to further optimize the
+          model. Should be used for all use cases that do not support flash attention
+          2.
+        default: null
+      - name: assistant_model
+        type: str
+        doc: 'The assistant model name to use for inference. Notice that the optimizations
+          (flash attention 2 and better transformers) will be applied for the assistant
+          as well. Should be a model from Huggingface''s distil-whisper (see here
+          for more information: https://github.com/huggingface/distil-whisper).'
+        default: null
+      - name: max_new_tokens
+        type: int
+        doc: The maximum number of new tokens to generate. This is used to limit the
+          generation length. Default is 128 tokens.
+        default: 128
+      - name: chunk_length_s
+        type: int
+        doc: The audio chunk to split the audio to (in seconds). Default is 30 seconds.
+        default: 30
+      - name: batch_size
+        type: int
+        doc: The batch size to use for inference. Default is 2.
+        default: 8
+      - name: spoken_language
+        type: str
+        doc: Aim whisper to know what language is spoken. If None, it will try to
+          detect it.
+        default: null
+      - name: translate_to_english
+        type: bool
+        doc: Whether to translate the transcriptions to English.
+        default: false
+      - name: speech_diarization
+        type: Dict[str, List[Tuple[float, float, str]]]
+        doc: 'A speech diarization dictionary with the file names to transcribe as
+          keys and their diarization as value. The diarization is a list of tuples:
+          (start, end, speaker). An example for a diarization dictionary::'
+        default: null
+      - name: speech_diarize_per_channel
+        type: int
+        doc: 'Perform speech diarization per channel. Each speaker is expected to
+          belong to a separate channel in the audio. Notice: This will make the transcription
+          slower as each channel wil be transcribed separatly. If a speech diarization
+          is passed (via the `speech_diarization` parameter), this parameter is ignored.'
+        default: null
+      - name: speaker_labels
+        type: List[str]
+        doc: A list of speaker labels by channel order to use for writing the transcription
+          with respect to per channel speech diarization. This won't be used together
+          with a given speech diarization (via the `speech_diarization` parameter).
+        default: null
+      - name: use_multiprocessing
+        type: Union[bool, int]
+        doc: 'Whether to use multiprocessing to transcribe the audio files. Can be
+          either a boolean value or an integer. If `True`, will use the default amount
+          of workers (3): 1 for transcription, 1 for batch processing and 1 for task
+          completion (such as speech diarization and writing to files). To control
+          the amount of tasks completion workers, an integer can be provided to specify
+          the amount of workers. `False`, will use a single process. Default is `False`.'
+        default: false
+      - name: verbose
+        type: bool
+        doc: Whether to print the progress of the transcription. Default is `False`.
+        default: false
+      outputs: []
+      lineno: 1097
+      has_varargs: false
+      has_kwargs: false
+    audio_iterator:
+      name: audio_iterator
+      doc: ''
+      parameters: []
+      outputs:
+      - type: Generator[Union[dict, str], None, None]
+      lineno: 804
+      has_varargs: false
+      has_kwargs: false
+    batch_iterator:
+      name: batch_iterator
+      doc: ''
+      parameters: []
+      outputs:
+      - type: Generator[List[Union[dict, str]], None, None]
+      lineno: 816
+      has_varargs: false
+      has_kwargs: false
+    open_mpi_handler:
+      name: open_mpi_handler
+      doc: ''
+      parameters:
+      - name: worker_inputs
+        type: List[str]
+      - name: root_worker_inputs
+        type: Dict[str, Any]
+        default: null
+      outputs: []
+      lineno: 957
+      has_varargs: false
+      has_kwargs: false
+    decorator:
+      name: decorator
+      doc: ''
+      parameters:
+      - name: handler
+      outputs: []
+      lineno: 969
+      has_varargs: false
+      has_kwargs: false
+    wrapper:
+      name: wrapper
+      doc: ''
+      parameters: []
+      outputs: []
+      lineno: 974
+      has_varargs: false
+      has_kwargs: true
+  description: Transcribe audio files into text files
+  default_handler: transcribe
+  disable_auto_mount: false
+  clone_target_dir: ''
+  env: []
+  priority_class_name: ''
+  preemption_mode: prevent
+  affinity: null
+  tolerations: null
+  security_context: {}
+verbose: false
+
+        </code>
+    </pre>
+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/transcribe/1.1.0/static/item.html b/functions/master/transcribe/1.1.0/static/item.html
new file mode 100644
index 00000000..fddc2e3e
--- /dev/null
+++ b/functions/master/transcribe/1.1.0/static/item.html
@@ -0,0 +1,53 @@
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta content="IE=edge" http-equiv="X-UA-Compatible">
+    <meta content="width=device-width, initial-scale=1.0" name="viewport">
+    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/styles/atom-one-dark.min.css">
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/highlight.min.js"></script>
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/languages/yaml.min.js"></script>
+    <title>Source</title>
+    <script>hljs.highlightAll();</script>
+</head>
+
+<body style="background-color:darkgray; margin: 0 0 0 0;">
+    <pre style="margin: 0 1em;">
+        <code class="yaml">
+apiVersion: v1
+categories:
+- data-preparation
+- genai
+- huggingface
+- machine-learning
+description: Transcribe audio files into text files
+doc: ''
+example: transcribe.ipynb
+generationDate: 2023-07-13:11-20
+hidden: false
+icon: ''
+labels:
+  author: yonatans
+maintainers: []
+marketplaceType: ''
+mlrunVersion: 1.5.1
+name: transcribe
+platformVersion: 3.5.3
+spec:
+  filename: transcribe.py
+  handler: transcribe
+  image: mlrun/mlrun
+  kind: job
+  requirements:
+    - transformers
+    - tqdm
+    - torchaudio
+    - torch
+    - accelerate
+url: ''
+version: 1.1.0
+        </code>
+    </pre>
+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/transcribe/1.1.0/static/source.html b/functions/master/transcribe/1.1.0/static/source.html
new file mode 100644
index 00000000..534b397d
--- /dev/null
+++ b/functions/master/transcribe/1.1.0/static/source.html
@@ -0,0 +1,1485 @@
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta content="IE=edge" http-equiv="X-UA-Compatible">
+    <meta content="width=device-width, initial-scale=1.0" name="viewport">
+    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/styles/atom-one-dark.min.css">
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/highlight.min.js"></script>
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/languages/python.min.js"></script>
+    <title>Source</title>
+    <script>hljs.highlightAll();</script>
+</head>
+
+<body style="background-color:darkgray; margin: 0 0 0 0;">
+    <pre style="margin: 0 1em;">
+        <code class="python">
+# Copyright 2024 Iguazio
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+import logging
+import operator
+import os
+import tempfile
+from functools import reduce, wraps
+from multiprocessing import Process, Queue
+from pathlib import Path
+from typing import Any, Dict, Generator, List, Literal, NamedTuple, Tuple, Union
+
+import pandas as pd
+import torch
+import torchaudio
+from tqdm import tqdm
+from transformers import (
+    AutomaticSpeechRecognitionPipeline,
+    AutoModelForCausalLM,
+    pipeline,
+)
+from transformers.utils import is_flash_attn_2_available
+
+
+class BaseTask:
+    """
+    A task to write the transcription to file.
+    """
+
+    def __init__(
+        self, audio_file: Path, transcription_output: Union[dict, str], text_file: Path
+    ):
+        """
+        Initialize the task.
+
+        :param audio_file:           Path to the audio file that was transcribed.
+        :param transcription_output: The transcription output from the pipeline. String means an exception was raised.
+        :param text_file:            Path to the text file to write the transcription to.
+        """
+        # Store the parameters:
+        self._audio_file = audio_file
+        self._transcription_output = transcription_output
+        self._text_file = text_file
+
+        # Prepare the error variable:
+        self._error: str = None
+
+    def do_task(self):
+        """
+        Try to perform the task storing an error if occurred.
+        """
+        if isinstance(self._transcription_output, str):
+            self._error = self._transcription_output
+            return
+        try:
+            self._do_task()
+        except Exception as exception:
+            self._error = str(exception)
+
+    def is_failed(self) -> bool:
+        """
+        Check if the task failed.
+
+        :returns: Whether the task failed.
+        """
+        return self._error is not None
+
+    def get_result(self) -> Tuple[str, str]:
+        """
+        Get the result of the task. If the task failed, the error will be returned, otherwise, the result will be the
+        text file name.
+
+        :returns: The task's result.
+        """
+        if self.is_failed():
+            return self._audio_file.name, self._error
+        return self._audio_file.name, self._text_file.name
+
+    def to_tuple(self) -> Tuple[str, dict]:
+        """
+        Convert the task to a tuple to reconstruct it later (used for multiprocessing to pass in queue).
+
+        :returns: The converted task.
+        """
+        return self.__class__.__name__, {
+            "audio_file": self._audio_file,
+            "transcription_output": self._transcription_output,
+            "text_file": self._text_file,
+        }
+
+    def _do_task(self):
+        """
+        Perform the task - write the transcription to the stored file path.
+        """
+        # Checking for no duplications:
+        i = 1
+        while self._text_file.exists():
+            i += 1
+            self._text_file = (
+                self._text_file.parent
+                / f"{self._text_file.stem.rsplit('_', 1)[0]}_{i}{self._text_file.suffix}"
+            )
+
+        # Make sure all directories are created:
+        self._text_file.parent.mkdir(exist_ok=True, parents=True)
+
+        # Write to file:
+        with open(self._text_file, "w") as fp:
+            fp.write(self._transcription_output["text"])
+
+
+class SpeechDiarizationTask(BaseTask):
+    """
+    A task to write the transcription to file with respect to a given speech diarization.
+    """
+
+    class _DiarizationSegment(NamedTuple):
+        """
+        A speech diarization segment.
+        """
+
+        start: float
+        end: float
+        speaker: str
+
+    class _WordTimestamp(NamedTuple):
+        """
+        A word with its start and end timestamps.
+        """
+
+        start: float
+        end: float
+        text: str
+
+    def __init__(
+        self,
+        audio_file: Path,
+        transcription_output: dict,
+        text_file: Path,
+        speech_diarization: List[Tuple[float, float, str]],
+    ):
+        """
+        Initialize the task.
+
+        :param audio_file:           Path to the audio file that was transcribed.
+        :param transcription_output: The transcription output from the pipeline.
+        :param text_file:            Path to the text file to write the transcription to.
+        :param speech_diarization:   A speech diarization as a list of tuples: (start, end, speaker).
+        """
+        super().__init__(
+            audio_file=audio_file,
+            transcription_output=transcription_output,
+            text_file=text_file,
+        )
+        self._speech_diarization = speech_diarization
+        self._segments: List[SpeechDiarizationTask._DiarizationSegment] = None
+        self._last_chosen_index = 0
+
+    def to_tuple(self) -> Tuple[str, dict]:
+        """
+        Convert the task to a tuple to reconstruct it later (used for multiprocessing to pass in queue).
+
+        :returns: The converted task.
+        """
+        task_class, task_kwargs = super().to_tuple()
+        return task_class, {
+            **task_kwargs,
+            "speech_diarization": self._speech_diarization,
+        }
+
+    def _do_task(self):
+        """
+        Perform the task - write the transcription to the stored file path with respect to the given speech diarization.
+        """
+        # Check if a speech diarization is given, if not, just write the transcription to file:
+        if not self._speech_diarization:
+            super()._do_task()
+            return
+
+        # Cast the chunks to word timestamps tuples:
+        words = [
+            SpeechDiarizationTask._WordTimestamp(
+                start=chunk["timestamp"][0],
+                end=chunk["timestamp"][1],
+                text=chunk["text"],
+            )
+            for chunk in self._transcription_output["chunks"]
+        ]
+
+        # Cast speech diarization to segments tuples:
+        self._segments = [
+            SpeechDiarizationTask._DiarizationSegment(*segment)
+            for segment in self._speech_diarization
+        ]
+
+        # Try to match the Whisper model predicted timestamps to the closest diarization segment (closest diarization
+        # segment will be the most overlapping with the word, and if there is no overlap, the closest segment to the
+        # word):
+        speaker = self._segments[self._last_chosen_index].speaker
+        text = f"{speaker}:"
+        for word in words:
+            # Get the next diarization segment:
+            self._get_next_segment(word=word)
+            # Check if the segment is of the same speaker:
+            if self._segments[self._last_chosen_index].speaker == speaker:
+                # Collect the word:
+                text += word.text
+            else:
+                # Append a newline and update the new speaker:
+                speaker = self._segments[self._last_chosen_index].speaker
+                text += f"\n{speaker}:{word.text}"
+
+        # Update the transcription output with the new text to write it to file:
+        self._transcription_output["text"] = text
+        super()._do_task()
+
+    def _get_next_segment(
+        self,
+        word: _WordTimestamp,
+    ):
+        """
+        Get the next diarization segment the given word falls into. The `self._last_chosen_index` will be updated
+        accordingly.
+
+        :param word: The word timestamp to match to the next segment.
+        """
+        # If the last chosen segment is the last segment, return it:
+        if self._last_chosen_index == len(self._segments) - 1:
+            return
+
+        # Get the last chosen diarization segment:
+        last_chosen = self._segments[self._last_chosen_index]
+
+        # None value may appear if the word is the last word in the audio file, or it was split during inference. In
+        # that case, we'll set the last segment:
+        if word.end is None:
+            self._last_chosen_index = len(self._segments) - 1
+            return
+
+        # If the word ends before the last chosen segment:
+        if word.end <= last_chosen.start:
+            # Then it is still the closest segment
+            return
+
+        # We check if it ends inside the last chosen segment:
+        if word.end < last_chosen.end:
+            # Then it still is the closest segment
+            return
+
+        # The word ends after the segment, we need to collect all next segments up until the word ends before them:
+        possible_segments = [self._last_chosen_index]
+        for i in range(self._last_chosen_index + 1, len(self._segments)):
+            if word.end > self._segments[i].end:
+                possible_segments.append(i)
+                continue
+            possible_segments.append(i)
+            break
+
+        # Check for the most overlapping option:
+        best_overlap = 0
+        most_overlapping_segment_index = None
+        for i in possible_segments:
+            # If the word starts before segment:
+            if word.start <= self._segments[i].start:
+                # If it ends before the segment, there is an overlap from the start of the segment to the end of the
+                # word:
+                if word.end < self._segments[i].end:
+                    overlap = word.end - self._segments[i].start
+                else:
+                    # The word is wrapping the segment, the overlap is the segment's length:
+                    overlap = self._segments[i].end - self._segments[i].start
+            # The word starts in segment, check if the word ends in it:
+            elif word.end < self._segments[i].end:
+                # The overlap is the word's length:
+                overlap = word.end - word.start
+            # The word start in segment but ends after it, the overlap is from the word's start to the segment's end:
+            else:
+                overlap = self._segments[i].end - word.start
+            # Check for new best overlap:
+            if overlap > best_overlap:
+                best_overlap = overlap
+                most_overlapping_segment_index = i
+        if most_overlapping_segment_index is not None:
+            self._last_chosen_index = most_overlapping_segment_index
+            return
+
+        # If there is no overlapping segment, return the closest segment:
+        best_distance = None
+        closest_segment_index = None
+        for i in possible_segments:
+            distance = (
+                word.start - self._segments[i].end
+                if word.start > self._segments[i].end
+                else self._segments[i].start - word.end
+            )
+            if best_distance is None or distance < best_distance:
+                best_distance = distance
+                closest_segment_index = i
+        self._last_chosen_index = closest_segment_index
+
+
+class SpeechDiarizationPerChannelTask(BaseTask):
+    """
+    A task to write the transcription to file with respect to a given speech diarization per channel.
+    """
+
+    class _WordTimestamp(NamedTuple):
+        """
+        A word with its start and end timestamps and speaker label (channel the word was taken from).
+        """
+
+        start: float
+        end: float
+        speaker: str
+        text: str
+
+    def __init__(self, audio_file: Path, text_file: Path):
+        """
+        Initialize the task.
+
+        :param audio_file: Path to the audio file that was transcribed.
+        :param text_file:  Path to the text file to write the transcription to.
+        """
+        super().__init__(
+            audio_file=audio_file, transcription_output={}, text_file=text_file
+        )
+        self._transcription_output_channels: List[Tuple[str, dict]] = []
+
+    @property
+    def transcription_output_channels(self) -> List[Tuple[str, dict]]:
+        """
+        Get the transcription output channels.
+
+        :returns: The transcription output channels.
+        """
+        return self._transcription_output_channels
+
+    def do_task(self):
+        """
+        Try to perform the task storing an error if occurred.
+        """
+        for _, channel_output in self._transcription_output_channels:
+            if isinstance(channel_output, str):
+                self._error = self._transcription_output_channels
+                return
+        super().do_task()
+
+    def to_tuple(self) -> Tuple[str, dict]:
+        """
+        Convert the task to a tuple to reconstruct it later (used for multiprocessing to pass in queue).
+
+        :returns: The converted task.
+        """
+        task_class, task_kwargs = super().to_tuple()
+        task_kwargs.pop("transcription_output")
+        return task_class, task_kwargs
+
+    def _do_task(self):
+        """
+        Perform the task - write the transcription to the stored file path with respect to the given speech diarization
+        per channel.
+        """
+        # Cast the chunks to word timestamps tuples:
+        words_per_channel = [
+            [
+                SpeechDiarizationPerChannelTask._WordTimestamp(
+                    start=chunk["timestamp"][0],
+                    end=chunk["timestamp"][1],
+                    speaker=speaker,
+                    text=chunk["text"],
+                )
+                for chunk in output["chunks"]
+            ]
+            for speaker, output in self._transcription_output_channels
+        ]
+
+        # Merge and sort the words per channel by their start time:
+        words = operator.add(*words_per_channel)
+        words.sort()
+
+        # Write the transcription to file:
+        current_speaker = words[0].speaker
+        text = f"{current_speaker}:"
+        for word in words:
+            # Check if the word's speaker is different from the current one:
+            if word.speaker != current_speaker:
+                # Append a newline and update the new speaker:
+                current_speaker = word.speaker
+                text += f"\n{current_speaker}:"
+            # Collect the word:
+            text += word.text
+
+        # Update the transcription output with the new text to write it to file:
+        self._transcription_output["text"] = text
+        super()._do_task()
+
+
+class BatchProcessor:
+    """
+    A batch processor to process batches of transcriptions. The batch processor is creating tasks and is aimed to be
+    working along the transcriber. It can be used with multiprocessing queue or run the tasks directly using the
+    associated methods.
+    """
+
+    def __init__(self, audio_files: List[Path], output_directory: Path):
+        """
+        Initialize the batch processor.
+
+        :param audio_files:      The list of all audio files to transcribe.
+        :param output_directory: The output directory to write the transcriptions to.
+        """
+        # Store the parameters:
+        self._audio_files = audio_files
+        self._output_directory = output_directory
+
+        # Prepare the batching variables:
+        self._current_file_index = 0
+        self._tasks: List[BaseTask] = []
+        self._results: List[Tuple[bool, Tuple[str, str]]] = []
+
+    def process_batch(self, batch: List[Union[dict, str]]):
+        """
+        Process a batch of transcriptions. Tasks related to the given batch will be created and stored in the batch
+        processor.
+
+        :param batch: The batch of transcriptions to process.
+        """
+        # Get the relevant files belongs to the given batch:
+        current_files = self._get_current_files(batch_size=len(batch))
+
+        # Build the diarization tasks:
+        self._tasks.extend(
+            [
+                BaseTask(
+                    audio_file=file,
+                    transcription_output=batch[i],
+                    text_file=self._output_directory / f"{file.stem}.txt",
+                )
+                for i, file in enumerate(current_files)
+            ]
+        )
+
+    def get_tasks(self) -> List[BaseTask]:
+        """
+        Get the tasks to perform.
+
+        :returns: The tasks to perform.
+        """
+        tasks = self._tasks
+        self._tasks = []
+        return tasks
+
+    def do_tasks(self):
+        """
+        Perform the tasks. Should be used if no multiprocessing queue is given to a transcriber.
+        """
+        for task in self.get_tasks():
+            task.do_task()
+            self._results.append((task.is_failed(), task.get_result()))
+
+    def get_results(self) -> List[Tuple[bool, Tuple[str, str]]]:
+        """
+        Get the results of the tasks. The stored results are then cleared.
+
+        :returns: The results of the tasks.
+        """
+        results = self._results
+        self._results = []
+        return results
+
+    def _get_current_files(self, batch_size: int) -> List[Path]:
+        """
+        Get the current files to process.
+
+        :param batch_size: The batch size to progress the current file index.
+
+        :returns: The current files to process.
+        """
+        end_index = (
+            self._current_file_index + batch_size
+            if self._current_file_index + batch_size < len(self._audio_files)
+            else len(self._audio_files)
+        )
+        current_files = self._audio_files[self._current_file_index : end_index]
+        self._current_file_index = end_index
+        return current_files
+
+
+class SpeechDiarizationBatchProcessor(BatchProcessor):
+    """
+    A batch processor to process batches of transcriptions with respect to a given speech diarization. The batch
+    processor is creating tasks and is aimed to be working along the transcriber. It can be used with multiprocessing
+    queue or run the tasks directly using the associated methods.
+    """
+
+    def __init__(
+        self, audio_files: List[Path], output_directory: Path, speech_diarization: dict
+    ):
+        """
+        Initialize the batch processor.
+
+        :param audio_files:        The list of all audio files to transcribe.
+        :param output_directory:   The output directory to write the transcriptions to.
+        :param speech_diarization: A speech diarization dictionary to pass along with each processed batch.
+        """
+        super().__init__(audio_files=audio_files, output_directory=output_directory)
+        self._speech_diarization = speech_diarization
+        self._audio_files = audio_files
+
+    def process_batch(self, batch: List[dict]):
+        """
+        Process a batch of transcriptions. Tasks related to the given batch will be created and stored in the batch
+        processor.
+
+        :param batch: The batch of transcriptions to process.
+        """
+        # Get the relevant files belongs to the given batch:
+        current_files = self._get_current_files(batch_size=len(batch))
+
+        # Build the diarization tasks:
+        self._tasks.extend(
+            [
+                SpeechDiarizationTask(
+                    audio_file=file,
+                    transcription_output=batch[i],
+                    text_file=self._output_directory / f"{file.stem}.txt",
+                    speech_diarization=self._speech_diarization.get(file.name),
+                )
+                for i, file in enumerate(current_files)
+            ]
+        )
+
+
+class PerChannelSpeechDiarizationBatchProcessor(BatchProcessor):
+    """
+    A batch processor to process batches of transcriptions per channel. The batch processor is creating tasks with the
+    selected amount of channels given and is aimed to be working along the transcriber. It can be used with
+    multiprocessing queue or run the tasks directly using the associated methods.
+    """
+
+    def __init__(
+        self,
+        audio_files: List[Path],
+        output_directory: Path,
+        n_channels: int,
+        speakers: List[str],
+    ):
+        """
+        Initialize the batch processor.
+
+        :param audio_files:      The list of all audio files to transcribe.
+        :param output_directory: The output directory to write the transcriptions to.
+        :param n_channels:       The number of channels in each audio file to transcribe.
+        :param speakers:         The speakers labels to use for each channel.
+        """
+        super().__init__(audio_files=audio_files, output_directory=output_directory)
+
+        # Store the parameters:
+        self._n_channels = n_channels
+        self._speakers = speakers
+
+        # Prepare a channel buffer to store the channels until the current task created is fully covered:
+        self._task_in_process: SpeechDiarizationPerChannelTask = None
+
+    def process_batch(self, batch: List[dict]):
+        """
+        Process a batch of transcriptions. Tasks related to the given batch will be created and stored in the batch
+        processor.
+
+        :param batch: The batch of transcriptions to process.
+        """
+        # Go over the batch and create the tasks:
+        for output in batch:
+            # Check if there is a task in process:
+            if not self._task_in_process:
+                # Create a new task:
+                self._task_in_process = SpeechDiarizationPerChannelTask(
+                    audio_file=self._audio_files[self._current_file_index],
+                    text_file=self._output_directory
+                    / f"{self._audio_files[self._current_file_index].stem}.txt",
+                )
+            # Get the channel's speaker:
+            speaker = self._speakers[
+                len(self._task_in_process.transcription_output_channels)
+            ]
+            # Collect the channel into the processed task:
+            self._task_in_process.transcription_output_channels.append(
+                (speaker, output)
+            )
+            # Check if the task is fully covered (all channels are collected):
+            if (
+                len(self._task_in_process.transcription_output_channels)
+                == self._n_channels
+            ):
+                # Collect the task and reset the task in process:
+                self._tasks.append(self._task_in_process)
+                self._current_file_index += 1
+                self._task_in_process = None
+
+
+class Transcriber:
+    """
+    A transcription wrapper for the Huggingface's ASR pipeline -
+    https://huggingface.co/transformers/main_classes/pipelines.html#transformers.AutomaticSpeechRecognitionPipeline to
+    use with OpenAI's Whisper models - https://huggingface.co/openai.
+    """
+
+    def __init__(
+        self,
+        model_name: str,
+        device: str = None,
+        use_flash_attention_2: bool = None,
+        use_better_transformers: bool = None,
+        assistant_model: str = None,
+        max_new_tokens: int = 128,
+        chunk_length_s: int = 30,
+        batch_size: int = 2,
+        spoken_language: str = None,
+        translate_to_english: bool = False,
+        return_timestamps: Union[bool, Literal["word"]] = False,
+        per_channel_transcription: int = 0,
+    ):
+        """
+        Initialize the transcriber.
+
+        :param model_name:                The model name to use. Should be a model from the OpenAI's Whisper models for
+                                          best results (for example "tiny", "base", "large", etc.).
+        :param device:                    The device to use for inference. If not given, will use GPU if available.
+        :param use_flash_attention_2:     Whether to use the Flash Attention 2 implementation. It can be used only with
+                                          one of the following GPUs: Nvidia H series and Nvidia A series. T4 support
+                                          will be available soon.
+
+                                          Note: If both `use_flash_attention_2` and
+                                          `use_better_transformers` are `None`, the optimization will be chosen
+                                          automatically according to the available resources.
+
+        :param use_better_transformers:   Whether to use the Better Transformers library to further optimize the model.
+                                          Should be used for all use cases that do not support flash attention 2.
+
+                                          Note: If both `use_flash_attention_2` and `use_better_transformers` are
+                                          `None`, the optimization will be chosen automatically according to the
+                                          available resources.
+       :param assistant_model:           The assistant model name to use for inference. Notice that the optimizations
+                                          (flash attention 2 and better transformers) will be applied for the assistant
+                                          as well. Should be a model from Huggingface's distil-whisper (see here for
+                                          more information: https://github.com/huggingface/distil-whisper).
+        :param max_new_tokens:            The maximum number of new tokens to generate. This is used to limit the
+                                          generation length. Default is 128 tokens.
+        :param chunk_length_s:            The audio chunk to split the audio to (in seconds). Default is 30 seconds.
+        :param batch_size:                The batch size to use for inference. Default is 2.
+        :param spoken_language:           Aim whisper to know what language is spoken. If None, it will try to detect it
+                                          for each chunk.
+        :param translate_to_english:      Whether to translate the transcriptions to English. Default is False.
+        :param return_timestamps:         Whether to return the timestamps of the words. If "word", will return the
+                                          timestamps of each word. If True will return the timestamps of each chunk.
+                                          Default is False. Aimed to be used for speech diarization.
+        :param per_channel_transcription: Whether to do per channel transcription. If needed to run per channel
+                                          transcription, pass the number of channels expected for each audio file here.
+                                          0 means regular transcription (merge channels).
+
+                                          Note: If `per_channel_transcription` is not 0, `batch_size` must be treated to
+                                          be the number of channels and not audio files. Aimed to be used for per
+                                          channel speech diarization.
+        """
+        # Store loading parameters:
+        self._model_name = model_name
+        self._device = device
+        self._use_flash_attention_2 = use_flash_attention_2
+        self._use_better_transformers = use_better_transformers
+        self._max_new_tokens = max_new_tokens
+        self._chunk_length_s = chunk_length_s
+        self._batch_size = batch_size
+        self._return_timestamps = return_timestamps
+        self._per_channel_transcription = per_channel_transcription
+
+        # Store generation parameters:
+        self._assistant_model = assistant_model
+        self._spoken_language = spoken_language
+        self._translate_to_english = translate_to_english
+
+        # Prepare the transcription objects:
+        self._transcription_pipeline: AutomaticSpeechRecognitionPipeline = None
+        self._generate_kwargs: dict = None
+
+    def load(self):
+        """
+        Load the transcriber. Must be called before transcribing.
+        """
+        # Set the device and data type to use (prefer GPU if available):
+        device = torch.device(
+            self._device or "cuda" if torch.cuda.is_available() else "cpu"
+        )
+        torch_dtype = torch.float16 if device.type == "cuda" else torch.float32
+
+        # Choose the optimization to use (in case the user did not specify any):
+        if (
+            self._use_flash_attention_2 is None
+            and self._use_better_transformers is None
+        ):
+            # Prefer to use flash attention 2 if available and cuda device is supported (see GPU names to architecture
+            # here: https://en.wikipedia.org/wiki/List_of_Nvidia_graphics_processing_units#Tesla):
+            if device.type == "cuda" and is_flash_attn_2_available():
+                cuda_device_name = torch.cuda.get_device_properties(device).name
+                if any(
+                    cuda_device_name.startswith(gpu_name)
+                    for gpu_name in [
+                        "NVIDIA A",  # For Ampere architecture (e.g. A10, A30, A100)
+                        "NVIDIA H",  # For Hopper architecture (e.g. H100)
+                        "NVIDIA L",  # For Ada Lovelace architecture (e.g. L4, L40)
+                        "NVIDIA RTX 30",  # For Ada Lovelace architecture (RTX 30 series)
+                        "NVIDIA RTX 40",  # For Ada Lovelace architecture (RTX 40 series)
+                        "NVIDIA RTX 50",  # For Ada Lovelace architecture (RTX 50 series)
+                        # Will be supported soon according to FlashAttention GitHub repo:
+                        # https://github.com/Dao-AILab/flash-attention?tab=readme-ov-file#installation-and-features
+                        # "NVIDIA T4",  # For Turing architecture (only T4)
+                        # "NVIDIA RTX 20",  # For Turing architecture (RTX 20 series)
+                    ]
+                ):
+                    self._use_flash_attention_2 = True
+                else:
+                    self._use_better_transformers = True
+            else:
+                self._use_better_transformers = True
+
+        # Build the optimizations kwargs:
+        model_kwargs = {
+            "low_cpu_mem_usage": True,
+            "use_safetensors": True,
+        }
+        if self._use_flash_attention_2:
+            if _LOGGER:
+                _LOGGER.info(
+                    "Using FlashAttention2 optimization - make sure the `flash-attn` package is installed via "
+                    "`pip install -U flash-attn --no-build-isolation`"
+                )
+            model_kwargs["attn_implementation"] = "flash_attention_2"
+        elif self._use_better_transformers:
+            if _LOGGER:
+                _LOGGER.info(
+                    "Using BetterTransformers optimization - make sure the `optimum` package is installed via "
+                    "`pip install -U optimum`"
+                )
+            model_kwargs["attn_implementation"] = "sdpa"
+
+        # Initialize the speech recognition pipeline:
+        self._transcription_pipeline = pipeline(
+            task="automatic-speech-recognition",
+            model=self._model_name,
+            model_kwargs=model_kwargs.copy(),
+            batch_size=self._batch_size,
+            max_new_tokens=self._max_new_tokens,
+            chunk_length_s=self._chunk_length_s,
+            return_timestamps=self._return_timestamps,
+            torch_dtype=torch_dtype,
+            device=device,
+        )
+
+        # Prepare the generation kwargs:
+        self._generate_kwargs = {
+            "language": self._spoken_language,
+            "task": "translate" if self._translate_to_english else "transcribe",
+        }
+
+        # Initialize the assistant model (if needed):
+        if self._assistant_model:
+            assistant_model = AutoModelForCausalLM.from_pretrained(
+                self._assistant_model, torch_dtype=torch_dtype, **model_kwargs
+            )
+            assistant_model.to(device)
+            self._generate_kwargs["assistant_model"] = assistant_model
+
+    def transcribe(
+        self,
+        audio_files: List[Path],
+        batch_processor: BatchProcessor = None,
+        batches_queue: Queue = None,
+        verbose: bool = False,
+    ) -> Union[List[List[dict]], None]:
+        """
+        Transcribe the given audio files. The transcriptions will be sent to a queue or a batch processor for further
+        processing like writing to text files. If no queue or batch processor is given, the transcriptions outputs from
+        the pipeline will be returned. Otherwise, `None` is returned.
+
+        :param audio_files:     The audio files to transcribe.
+        :param batch_processor: A batch processor.
+        :param batches_queue:   A multiprocessing queue to put the batches in.
+        :param verbose:         Whether to show a progress bar. Default is False.
+
+        :returns: The transcriptions outputs from the pipeline if no queue or batch processor is given, otherwise,
+                  `None`.
+        """
+        # Wrap the audio files with a function to iterate over them via a generator (save memory and runtime with
+        # Huggingface's pipelines as they preload each input while inference is running):
+        def audio_iterator() -> Generator[Union[dict, str], None, None]:
+            if self._per_channel_transcription:
+                for audio_file in audio_files:
+                    audio, sampling_rate = torchaudio.load(str(audio_file))
+                    audio = audio.numpy()
+                    for channel in audio:
+                        yield {"raw": channel, "sampling_rate": sampling_rate}
+            else:
+                for audio_file in audio_files:
+                    yield str(audio_file)
+
+        # Create a batch iterator:
+        def batch_iterator() -> Generator[List[Union[dict, str]], None, None]:
+            batch = []
+            for audio in audio_iterator():
+                batch.append(audio)
+                if len(batch) == self._batch_size:
+                    yield batch
+                    batch = []
+            if batch:
+                yield batch
+
+        # Prepare the successes dataframe and errors dictionary to be returned:
+        outputs = []
+
+        # Infer through the pipeline:
+        for input_batch in tqdm(
+            batch_iterator() if self._batch_size > 1 else audio_iterator(),
+            desc="Transcribing",
+            unit="channel" if self._per_channel_transcription else "audio file",
+            total=(
+                (
+                    (len(audio_files) // self._batch_size)
+                    + (len(audio_files) % self._batch_size != 0)
+                )
+                * (self._per_channel_transcription or 1)
+            ),
+            disable=not verbose,
+        ):
+            # Infer:
+            try:
+                output_batch = self._transcription_pipeline(
+                    input_batch,
+                    generate_kwargs=self._generate_kwargs,
+                )
+            except Exception as exception:
+                # Collect the exception:
+                output_batch = str(exception)
+                # Align to batch size:
+                output_batch = (
+                    [output_batch] * len(input_batch)
+                    if isinstance(input_batch, list)
+                    else [output_batch]
+                )
+            # To align with batching, if batch size is 1, wrap the output with a list:
+            if isinstance(output_batch, dict):
+                output_batch = [output_batch]
+            # If a batch processor is given, process the batch:
+            if batch_processor:
+                # Process it directly:
+                batch_processor.process_batch(batch=output_batch)
+                batch_processor.do_tasks()
+            elif batches_queue:
+                # Otherwise, queue the batch:
+                batches_queue.put(output_batch)
+            else:
+                # Otherwise, collect the output as is without processing:
+                outputs.append(output_batch)
+
+        # Check if given a multiprocessing queue or a batch processor:
+        if batches_queue:
+            batches_queue.put(_MULTIPROCESSING_STOP_MARK)
+
+        return outputs if not batch_processor else None
+
+
+#: The value to send into multiprocessing queues to stop the process:
+_MULTIPROCESSING_STOP_MARK = "STOP"
+
+
+def _multiprocessing_process_batches(
+    batch_processor: BatchProcessor,
+    batches_queue: Queue,
+    tasks_queue: Queue,
+    n_task_completers: int,
+):
+    """
+    Process the batches in the given batches queue and put the tasks in the given tasks queue. The function will stop
+    when the given batches queue will receive the stop mark. It is aimed to be used with multiprocessing as a process.
+
+    :param batch_processor:   A batch processor to process the batches.
+    :param batches_queue:     A queue to get the batches from.
+    :param tasks_queue:       A queue to put the tasks in.
+    :param n_task_completers: The number of task completers (processes that run the `_multiprocessing_complete_tasks`
+                              function). A stop mark will be sent to the tasks queue for each task completer.
+    """
+    while True:
+        # Get the batch:
+        batch: List[dict] = batches_queue.get()
+        if batch == _MULTIPROCESSING_STOP_MARK:
+            break
+
+        # Process the batch:
+        batch_processor.process_batch(batch=batch)
+
+        # Get the tasks:
+        tasks = batch_processor.get_tasks()
+
+        # Queue the tasks:
+        for task in tasks:
+            tasks_queue.put(task.to_tuple())
+
+    # Mark the end of the batches:
+    for _ in range(n_task_completers):
+        tasks_queue.put(_MULTIPROCESSING_STOP_MARK)
+
+
+def _multiprocessing_complete_tasks(tasks_queue: Queue, results_queue: Queue):
+    """
+    Complete the tasks in the given queue and put the results in the given results queue. The function will stop when
+    the given tasks queue will receive the stop mark. It is aimed to be used with multiprocessing as a process.
+
+    :param tasks_queue:   A queue to get the tasks from.
+    :param results_queue: A queue to put the results in.
+    """
+    tasks_map = {
+        BaseTask.__name__: BaseTask,
+        SpeechDiarizationTask.__name__: SpeechDiarizationTask,
+        SpeechDiarizationPerChannelTask.__name__: SpeechDiarizationPerChannelTask,
+    }
+
+    while True:
+        # Get the task:
+        task = tasks_queue.get()
+        if task == _MULTIPROCESSING_STOP_MARK:
+            break
+
+        # Reconstruct the task:
+        task_class, task_kwargs = task
+        task = tasks_map[task_class](**task_kwargs)
+
+        # Complete the task:
+        task.do_task()
+        results_queue.put((task.is_failed(), task.get_result()))
+
+    # Mark the end of the tasks:
+    results_queue.put(_MULTIPROCESSING_STOP_MARK)
+
+
+# Get the global logger:
+_LOGGER = logging.getLogger()
+
+
+def open_mpi_handler(
+    worker_inputs: List[str], root_worker_inputs: Dict[str, Any] = None
+):
+    global _LOGGER
+
+    # Check for MLRun and OpenMPI availability:
+    context, comm = _check_mlrun_and_open_mpi()
+
+    # Check if MLRun is available, set the global logger to MLRun's:
+    if context:
+        _LOGGER = context.logger
+
+    def decorator(handler):
+        if comm is None or comm.Get_size() == 1:
+            return handler
+
+        @wraps(handler)
+        def wrapper(**kwargs):
+            # Get the open mpi environment properties:
+            size = comm.Get_size()
+            rank = comm.Get_rank()
+
+            # Give the correct chunk of the workers inputs:
+            for worker_input in worker_inputs:
+                input_argument = kwargs[worker_input]
+                if input_argument is None:
+                    continue
+                if isinstance(input_argument, str):
+                    input_argument = _get_audio_files(
+                        data_path=Path(input_argument).absolute()
+                    )
+                if len(input_argument) < size:
+                    raise ValueError(
+                        f"Cannot split the input '{worker_input}' of length {len(input_argument)} to {size} workers. "
+                        f"Please reduce the amount of workers for this input."
+                    )
+                even_chunk_size = len(input_argument) // size
+                chunk_start = rank * even_chunk_size
+                chunk_end = (
+                    (rank + 1) * even_chunk_size
+                    if rank + 1 < size
+                    else len(input_argument)
+                )
+                context.logger.info(
+                    f"Rank #{rank}: Processing input chunk of '{worker_input}' "
+                    f"from index {chunk_start} to {chunk_end}."
+                )
+                if isinstance(input_argument, list):
+                    input_argument = input_argument[chunk_start:chunk_end]
+                elif isinstance(input_argument, pd.DataFrame):
+                    input_argument = input_argument.iloc[chunk_start:chunk_end:, :]
+                kwargs[worker_input] = input_argument
+
+            # Set the root worker only arguments:
+            if rank == 0 and root_worker_inputs:
+                kwargs.update(root_worker_inputs)
+
+            # Run the worker:
+            output = handler(**kwargs)
+
+            # Save the output directory of this worker:
+            output_directory = Path(output[0])
+
+            # Send the output to the root rank (rank #0):
+            output = comm.gather(output, root=0)
+
+            # Join the data from all workers:
+            if rank == 0:
+                context.logger.info("Collecting data from workers to root worker.")
+
+                # Check if there are different output directories:
+                output_directories = set([Path(out_dir) for out_dir, _, _ in output])
+                for r in range(1, size):
+                    # True means the other workers should pass their files to the root worker (rank 0):
+                    comm.send(len(output_directories) != 1, dest=r)
+
+                # If there are different output directories, listen to the other workers:
+                if len(output_directories) != 1:
+                    # Collect the files from the other workers:
+                    files = []
+                    for r in range(1, size):
+                        files.extend(comm.recv(source=r))
+                    # Write the files to the root worker's output directory:
+                    for file_name, file_content in files:
+                        with open(output_directory / file_name, "w") as f:
+                            f.write(file_content)
+
+                # Concatenate the dataframes:
+                dataframe = pd.concat(objs=[df for _, df, _ in output], axis=0)
+
+                # Concatenate the errors dictionaries:
+                errors_dictionary = reduce(
+                    operator.ior, [err for _, _, err in output], {}
+                )
+
+                return str(output_directory), dataframe, errors_dictionary
+
+            # Listen to rank 0 to see if there are different output directories and this rank need to send its files to
+            # it:
+            if comm.recv(source=0):
+                files = []
+                for file in os.listdir(output_directory):
+                    with open(output_directory / file, "r") as f:
+                        files.append((file, f.read()))
+                comm.send(files, dest=0)
+            return None
+
+        return wrapper
+
+    return decorator
+
+
+def _check_mlrun_and_open_mpi() -> Tuple["mlrun.MLClientCtx", "mpi4py.MPI.Intracomm"]:
+    is_mpi = False
+    try:
+        import mlrun
+
+        context = mlrun.get_or_create_ctx(name="mlrun")
+        is_mpi = context.labels.get("kind", "job") == "mpijob"
+
+        if is_mpi:
+            try:
+                from mpi4py import MPI
+
+                return context, MPI.COMM_WORLD
+            except ModuleNotFoundError as mpi4py_not_found:
+                context.logger.error(
+                    "To distribute the function using MLRun's 'mpijob' you need to have `mpi4py` package in your "
+                    "interpreter. Please run `pip install mpi4py` and make sure you have open-mpi."
+                )
+                raise mpi4py_not_found
+        else:
+            return context, None
+    except ModuleNotFoundError as module_not_found:
+        if is_mpi:
+            raise module_not_found
+    return None, None
+
+
+@open_mpi_handler(worker_inputs=["data_path"], root_worker_inputs={"verbose": True})
+def transcribe(
+    # Input / Output kwargs:
+    data_path: Union[str, Path, List[Union[str, Path]]],
+    output_directory: str = None,
+    # Model loading kwargs:
+    model_name: str = "openai/whisper-tiny",
+    device: str = None,
+    use_flash_attention_2: bool = None,
+    use_better_transformers: bool = None,
+    # Generation kwargs:
+    assistant_model: str = None,
+    max_new_tokens: int = 128,
+    chunk_length_s: int = 30,
+    batch_size: int = 8,
+    spoken_language: str = None,
+    translate_to_english: bool = False,
+    # Diarization kwargs:
+    speech_diarization: Dict[str, List[Tuple[float, float, str]]] = None,
+    speech_diarize_per_channel: int = None,
+    speaker_labels: List[str] = None,
+    # Other kwargs:
+    use_multiprocessing: Union[bool, int] = False,
+    verbose: bool = False,
+):
+    """
+    Transcribe audio files into text files and collect additional data. The end result is a directory of transcribed
+    text files and a dataframe containing the following columns:
+
+    * audio_file - The audio file path.
+    * transcription_file - The transcribed text file name in the output directory.
+
+    The transcription is based on Huggingface's ASR pipeline -
+    https://huggingface.co/transformers/main_classes/pipelines.html#transformers.AutomaticSpeechRecognitionPipeline and
+    is tested with OpenAI's Whisper models - https://huggingface.co/openai.
+
+    If one of the speaker diarization parameters are given (either `speech_diarization` or
+    `speech_diarize_per_channel`), the transcription will be written in a conversation format, where each speaker will
+    be written in a separate line::
+
+        speaker_1: text
+        speaker_2: text
+        speaker_1: text
+        ...
+
+    :param data_path:                  A directory of audio files or a single file or a list of files to transcribe.
+    :param output_directory:           Path to a directory to save all transcribed audio files. If not given, will save
+                                       the transcribed files in a temporary directory.
+    :param model_name:                 The model name to use. Should be a model from the OpenAI's Whisper models for
+                                       best results (for example "tiny", "base", "large", etc.). See here for more
+                                       information: https://huggingface.co/openai?search_models=whisper.
+    :param device:                     The device to use for inference. If not given, will use GPU if available.
+    :param use_flash_attention_2:      Whether to use the Flash Attention 2 implementation. It can be used only with
+                                       one of the following GPUs: Nvidia H series and Nvidia A series. T4 support
+                                       will be available soon.
+
+                                       Note: If both `use_flash_attention_2` and
+                                       `use_better_transformers` are `None`, the optimization will be chosen
+                                       automatically according to the available resources.
+
+    :param use_better_transformers:    Whether to use the Better Transformers library to further optimize the model.
+                                       Should be used for all use cases that do not support flash attention 2.
+
+                                       Note: If both `use_flash_attention_2` and `use_better_transformers` are
+                                       `None`, the optimization will be chosen automatically according to the
+                                       available resources.
+    :param assistant_model:            The assistant model name to use for inference. Notice that the optimizations
+                                       (flash attention 2 and better transformers) will be applied for the assistant as
+                                       well. Should be a model from Huggingface's distil-whisper (see here for more
+                                       information: https://github.com/huggingface/distil-whisper).
+
+                                       Note: Currently an assistant model is only usable with batch size of 1.
+    :param max_new_tokens:             The maximum number of new tokens to generate. This is used to limit the
+                                       generation length. Default is 128 tokens.
+    :param chunk_length_s:             The audio chunk to split the audio to (in seconds). Default is 30 seconds.
+    :param batch_size:                 The batch size to use for inference. Default is 2.
+    :param spoken_language:            Aim whisper to know what language is spoken. If None, it will try to detect
+                                       it.
+    :param translate_to_english:       Whether to translate the transcriptions to English.
+    :param speech_diarization:         A speech diarization dictionary with the file names to transcribe as keys and
+                                       their diarization as value. The diarization is a list of tuples:
+                                       (start, end, speaker). An example
+                                       for a diarization dictionary::
+
+                                       {
+                                           "audio_file_name": [
+                                               {
+                                                   "start": 0.0,
+                                                   "end": 2.0,
+                                                   "speaker": "Agent",
+                                               },
+                                               {
+                                                   "start": 2.0,
+                                                   "end": 4.0,
+                                                   "speaker": "Client",
+                                               },
+                                               ...
+                                           ],
+                                           ...
+                                       }
+
+                                       Note: The diarization must be for the entire duration of the audio file (as long
+                                       as Whisper is predicting words up until then.
+    :param speech_diarize_per_channel: Perform speech diarization per channel. Each speaker is expected to belong to
+                                       a separate channel in the audio. Notice: This will make the transcription
+                                       slower as each channel wil be transcribed separatly. If a speech diarization
+                                       is passed (via the `speech_diarization` parameter), this parameter is
+                                       ignored.
+    :param speaker_labels:             A list of speaker labels by channel order to use for writing the
+                                       transcription with respect to per channel speech diarization. This won't be
+                                       used together with a given speech diarization (via the `speech_diarization`
+                                       parameter).
+    :param use_multiprocessing:        Whether to use multiprocessing to transcribe the audio files. Can be either a
+                                       boolean value or an integer. If `True`, will use the default amount of workers
+                                       (3): 1 for transcription, 1 for batch processing and 1 for task completion (such
+                                       as speech diarization and writing to files). To control the amount of tasks
+                                       completion workers, an integer can be provided to specify the amount of workers.
+                                       `False`, will use a single process. Default is `False`.
+    :param verbose:                    Whether to print the progress of the transcription. Default is `False`.
+    """
+    global _LOGGER
+
+    # Get the input audio files to transcribe:
+    if verbose:
+        _LOGGER.info("Collecting audio files.")
+    audio_files = _get_audio_files(data_path=data_path)
+    if verbose:
+        _LOGGER.info(f"Collected {len(audio_files)} audio files.")
+
+    # Get the output directory:
+    if output_directory is None:
+        if verbose:
+            _LOGGER.info("No output directory given, using temporary directory.")
+        output_directory = tempfile.mkdtemp()
+    output_directory = Path(output_directory).absolute()
+    output_directory.mkdir(exist_ok=True, parents=True)
+    if verbose:
+        _LOGGER.info(f"Transcriptions will be saved to: {output_directory}")
+
+    # Initialize a batch processor according to user requirements (no speech diarization, given speech diarization,
+    # speech diarization per channel):
+    if speech_diarization:
+        batch_processor = SpeechDiarizationBatchProcessor(
+            audio_files=audio_files,
+            output_directory=output_directory,
+            speech_diarization=speech_diarization,
+        )
+    elif speech_diarize_per_channel:
+        batch_processor = PerChannelSpeechDiarizationBatchProcessor(
+            audio_files=audio_files,
+            output_directory=output_directory,
+            n_channels=speech_diarize_per_channel,
+            speakers=speaker_labels,
+        )
+    else:
+        batch_processor = BatchProcessor(
+            audio_files=audio_files,
+            output_directory=output_directory,
+        )
+
+    # Initialize the transcription pipeline:
+    transcriber = Transcriber(
+        device=device,
+        use_flash_attention_2=use_flash_attention_2,
+        use_better_transformers=use_better_transformers,
+        assistant_model=assistant_model,
+        model_name=model_name,
+        max_new_tokens=max_new_tokens,
+        chunk_length_s=chunk_length_s,
+        batch_size=batch_size,
+        return_timestamps=(
+            "word"
+            if speech_diarization is not None or speech_diarize_per_channel is not None
+            else False
+        ),
+        per_channel_transcription=speech_diarize_per_channel or 0,
+        spoken_language=spoken_language,
+        translate_to_english=translate_to_english,
+    )
+
+    # Run the transcription:
+    if use_multiprocessing:
+        results = _parallel_run(
+            n_workers=use_multiprocessing
+            if isinstance(use_multiprocessing, int)
+            else 1,
+            audio_files=audio_files,
+            batch_processor=batch_processor,
+            transcriber=transcriber,
+            verbose=verbose,
+        )
+    else:
+        results = _run(
+            audio_files=audio_files,
+            batch_processor=batch_processor,
+            transcriber=transcriber,
+            verbose=verbose,
+        )
+
+    # Process the results:
+    if verbose:
+        _LOGGER.info("Summarizing the results.")
+    successes = []
+    errors = {}
+    for is_error, result in results:
+        if is_error:
+            errors[result[0]] = result[1]
+        else:
+            successes.append(result)
+    successes = pd.DataFrame(successes, columns=["audio_file", "transcription_file"])
+    if verbose:
+        _LOGGER.info(
+            f"Done ({successes.shape[0]}/{len(audio_files)})\n"
+            f"Transcriptions summary:\n"
+            f"{successes.head()}"
+        )
+
+    return str(output_directory), successes, errors
+
+
+def _get_audio_files(
+    data_path: Union[Path, str, list],
+) -> List[Path]:
+    """
+    Get the audio files to transcribe. If a path to a directory is given, all files in the directory will be collected.
+
+    :param data_path: The data path to collect the audio files from.
+
+    :returns: The audio files list.
+    """
+    # Check if given a list of paths:
+    if isinstance(data_path, list):
+        audio_files = []
+        for path in data_path:
+            audio_files.extend(_get_audio_files(data_path=path))
+        return audio_files
+
+    # Check if given a single string path to cast it to a `pathlib.Path`:
+    if isinstance(data_path, str):
+        data_path = Path(data_path).absolute()
+
+    # Check if the path is of a directory or a file:
+    if data_path.is_dir():
+        # Get all files inside the directory:
+        audio_files = list(data_path.glob("*.*"))
+    elif data_path.is_file():
+        audio_files = [data_path]
+    else:
+        raise ValueError(
+            f"Unrecognized data path. The parameter `data_path` must be a valid path to either a directory path or a "
+            f"file. Given: {str(data_path)} "
+        )
+
+    return audio_files
+
+
+def _run(
+    audio_files: List[Path],
+    batch_processor: BatchProcessor,
+    transcriber: Transcriber,
+    verbose: bool,
+) -> List[Tuple[bool, Tuple[str, str]]]:
+    """
+    Run the transcription without multiprocessing.
+
+    :param audio_files:     The audio files to transcribe.
+    :param batch_processor: The batch processor to use.
+    :param transcriber:     The transcriber to use.
+    :param verbose:         Verbosity.
+
+    :returns: The collected results.
+    """
+    # Load the transcription pipeline:
+    if verbose:
+        _LOGGER.info(f"Loading the transcription pipeline.")
+    transcriber.load()
+    if verbose:
+        _LOGGER.info("Transcription pipeline loaded.")
+
+    # Transcribe the files:
+    transcriber.transcribe(
+        audio_files=audio_files,
+        batch_processor=batch_processor,
+        verbose=verbose,
+    )
+
+    # Return the results:
+    return batch_processor.get_results()
+
+
+def _parallel_run(
+    n_workers: int,
+    audio_files: List[Path],
+    batch_processor: BatchProcessor,
+    transcriber: Transcriber,
+    verbose: bool,
+):
+    """
+    Run the transcription with multiprocessing.
+
+    :param n_workers:       The amount of workers to use as task completers.
+    :param audio_files:     The audio files to transcribe.
+    :param batch_processor: The batch processor to use.
+    :param transcriber:     The transcriber to use.
+    :param verbose:         Verbosity.
+
+    :returns: The collected results.
+    """
+    # Initialize the multiprocessing queues:
+    batches_queue = Queue()
+    tasks_queue = Queue()
+    results_queue = Queue()
+
+    # Initialize the multiprocessing processes:
+    batch_processing_process = Process(
+        target=_multiprocessing_process_batches,
+        kwargs={
+            "batch_processor": batch_processor,
+            "batches_queue": batches_queue,
+            "tasks_queue": tasks_queue,
+            "n_task_completers": n_workers,
+        },
+    )
+    task_completion_processes = [
+        Process(
+            target=_multiprocessing_complete_tasks,
+            kwargs={"tasks_queue": tasks_queue, "results_queue": results_queue},
+        )
+        for _ in range(n_workers)
+    ]
+
+    # Start the multiprocessing processes:
+    batch_processing_process.start()
+    for p in task_completion_processes:
+        p.start()
+
+    # Load the transcription pipeline:
+    if verbose:
+        _LOGGER.info(f"Loading the transcription pipeline.")
+    transcriber.load()
+    if verbose:
+        _LOGGER.info("Transcription pipeline loaded.")
+
+    # Transcribe the files:
+    transcriber.transcribe(
+        audio_files=audio_files, batches_queue=batches_queue, verbose=verbose
+    )
+
+    # Collect the results:
+    results = []
+    stop_marks_counter = 0
+    while True:
+        # Get a result from the queue:
+        result: Tuple[bool, Tuple[str, str]] = results_queue.get()
+        if result == _MULTIPROCESSING_STOP_MARK:
+            stop_marks_counter += 1
+            if stop_marks_counter == n_workers:
+                break
+        else:
+            # Collect the result:
+            results.append(result)
+
+    # Wait for the processes to finish:
+    results_queue.empty()
+    batch_processing_process.join()
+    for p in task_completion_processes:
+        p.join()
+
+    return results
+        </code>
+    </pre>
+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/transcribe/1.1.0/static/transcribe.html b/functions/master/transcribe/1.1.0/static/transcribe.html
new file mode 100644
index 00000000..afcbe790
--- /dev/null
+++ b/functions/master/transcribe/1.1.0/static/transcribe.html
@@ -0,0 +1,1604 @@
+
+<!DOCTYPE html>
+
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+</span>
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+<a class="headerbtn" data-placement="left" data-toggle="tooltip" href="https://github.com/mlrun/marketplace/issues/new?title=Issue%20on%20page%20%2F_modules/transcribe/transcribe.html&amp;body=Your%20issue%20content%20here." title="Open an issue">
+<span class="headerbtn__icon-container">
+<i class="fas fa-lightbulb"></i>
+</span>
+<span class="headerbtn__text-container">open issue</span>
+</a>
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+</div>
+<!-- Table of contents -->
+<div class="col-md-3 bd-toc show noprint">
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+<div class="col pl-md-3 pl-lg-5 content-container">
+<!-- Table of contents that is only displayed when printing the page -->
+<div class="onlyprint" id="jb-print-docs-body">
+<h1></h1>
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+<div id="jb-print-toc">
+</div>
+</div>
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+<main id="main-content" role="main">
+<div>
+<h1>Source code for transcribe.transcribe</h1><div class="highlight"><pre>
+<span></span><span class="c1"># Copyright 2024 Iguazio</span>
+<span class="c1">#</span>
+<span class="c1"># Licensed under the Apache License, Version 2.0 (the "License");</span>
+<span class="c1"># you may not use this file except in compliance with the License.</span>
+<span class="c1"># You may obtain a copy of the License at</span>
+<span class="c1">#</span>
+<span class="c1">#   http://www.apache.org/licenses/LICENSE-2.0</span>
+<span class="c1">#</span>
+<span class="c1"># Unless required by applicable law or agreed to in writing, software</span>
+<span class="c1"># distributed under the License is distributed on an "AS IS" BASIS,</span>
+<span class="c1"># WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.</span>
+<span class="c1"># See the License for the specific language governing permissions and</span>
+<span class="c1"># limitations under the License.</span>
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">import</span> <span class="nn">operator</span>
+<span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">import</span> <span class="nn">tempfile</span>
+<span class="kn">from</span> <span class="nn">functools</span> <span class="kn">import</span> <span class="n">reduce</span><span class="p">,</span> <span class="n">wraps</span>
+<span class="kn">from</span> <span class="nn">multiprocessing</span> <span class="kn">import</span> <span class="n">Process</span><span class="p">,</span> <span class="n">Queue</span>
+<span class="kn">from</span> <span class="nn">pathlib</span> <span class="kn">import</span> <span class="n">Path</span>
+<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Any</span><span class="p">,</span> <span class="n">Dict</span><span class="p">,</span> <span class="n">Generator</span><span class="p">,</span> <span class="n">List</span><span class="p">,</span> <span class="n">Literal</span><span class="p">,</span> <span class="n">NamedTuple</span><span class="p">,</span> <span class="n">Tuple</span><span class="p">,</span> <span class="n">Union</span>
+
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="kn">import</span> <span class="nn">torch</span>
+<span class="kn">import</span> <span class="nn">torchaudio</span>
+<span class="kn">from</span> <span class="nn">tqdm</span> <span class="kn">import</span> <span class="n">tqdm</span>
+<span class="kn">from</span> <span class="nn">transformers</span> <span class="kn">import</span> <span class="p">(</span>
+    <span class="n">AutomaticSpeechRecognitionPipeline</span><span class="p">,</span>
+    <span class="n">AutoModelForCausalLM</span><span class="p">,</span>
+    <span class="n">pipeline</span><span class="p">,</span>
+<span class="p">)</span>
+<span class="kn">from</span> <span class="nn">transformers.utils</span> <span class="kn">import</span> <span class="n">is_flash_attn_2_available</span>
+
+
+<div class="viewcode-block" id="BaseTask"><a class="viewcode-back" href="documentation.html#transcribe.transcribe.BaseTask">[docs]</a><span class="k">class</span> <span class="nc">BaseTask</span><span class="p">:</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    A task to write the transcription to file.</span>
+<span class="sd">    """</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span> <span class="n">audio_file</span><span class="p">:</span> <span class="n">Path</span><span class="p">,</span> <span class="n">transcription_output</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">dict</span><span class="p">,</span> <span class="nb">str</span><span class="p">],</span> <span class="n">text_file</span><span class="p">:</span> <span class="n">Path</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Initialize the task.</span>
+
+<span class="sd">        :param audio_file:           Path to the audio file that was transcribed.</span>
+<span class="sd">        :param transcription_output: The transcription output from the pipeline. String means an exception was raised.</span>
+<span class="sd">        :param text_file:            Path to the text file to write the transcription to.</span>
+<span class="sd">        """</span>
+        <span class="c1"># Store the parameters:</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_audio_file</span> <span class="o">=</span> <span class="n">audio_file</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_transcription_output</span> <span class="o">=</span> <span class="n">transcription_output</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_text_file</span> <span class="o">=</span> <span class="n">text_file</span>
+
+        <span class="c1"># Prepare the error variable:</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_error</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="kc">None</span>
+
+<div class="viewcode-block" id="BaseTask.do_task"><a class="viewcode-back" href="documentation.html#transcribe.transcribe.BaseTask.do_task">[docs]</a>    <span class="k">def</span> <span class="nf">do_task</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Try to perform the task storing an error if occurred.</span>
+<span class="sd">        """</span>
+        <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_transcription_output</span><span class="p">,</span> <span class="nb">str</span><span class="p">):</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_error</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_transcription_output</span>
+            <span class="k">return</span>
+        <span class="k">try</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_do_task</span><span class="p">()</span>
+        <span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">exception</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_error</span> <span class="o">=</span> <span class="nb">str</span><span class="p">(</span><span class="n">exception</span><span class="p">)</span></div>
+
+<div class="viewcode-block" id="BaseTask.is_failed"><a class="viewcode-back" href="documentation.html#transcribe.transcribe.BaseTask.is_failed">[docs]</a>    <span class="k">def</span> <span class="nf">is_failed</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span><span class="p">:</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Check if the task failed.</span>
+
+<span class="sd">        :returns: Whether the task failed.</span>
+<span class="sd">        """</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_error</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span></div>
+
+<div class="viewcode-block" id="BaseTask.get_result"><a class="viewcode-back" href="documentation.html#transcribe.transcribe.BaseTask.get_result">[docs]</a>    <span class="k">def</span> <span class="nf">get_result</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">str</span><span class="p">]:</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Get the result of the task. If the task failed, the error will be returned, otherwise, the result will be the</span>
+<span class="sd">        text file name.</span>
+
+<span class="sd">        :returns: The task's result.</span>
+<span class="sd">        """</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">is_failed</span><span class="p">():</span>
+            <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_audio_file</span><span class="o">.</span><span class="n">name</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">_error</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_audio_file</span><span class="o">.</span><span class="n">name</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">_text_file</span><span class="o">.</span><span class="n">name</span></div>
+
+<div class="viewcode-block" id="BaseTask.to_tuple"><a class="viewcode-back" href="documentation.html#transcribe.transcribe.BaseTask.to_tuple">[docs]</a>    <span class="k">def</span> <span class="nf">to_tuple</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">dict</span><span class="p">]:</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Convert the task to a tuple to reconstruct it later (used for multiprocessing to pass in queue).</span>
+
+<span class="sd">        :returns: The converted task.</span>
+<span class="sd">        """</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="vm">__class__</span><span class="o">.</span><span class="vm">__name__</span><span class="p">,</span> <span class="p">{</span>
+            <span class="s2">"audio_file"</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">_audio_file</span><span class="p">,</span>
+            <span class="s2">"transcription_output"</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">_transcription_output</span><span class="p">,</span>
+            <span class="s2">"text_file"</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">_text_file</span><span class="p">,</span>
+        <span class="p">}</span></div>
+
+    <span class="k">def</span> <span class="nf">_do_task</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Perform the task - write the transcription to the stored file path.</span>
+<span class="sd">        """</span>
+        <span class="c1"># Checking for no duplications:</span>
+        <span class="n">i</span> <span class="o">=</span> <span class="mi">1</span>
+        <span class="k">while</span> <span class="bp">self</span><span class="o">.</span><span class="n">_text_file</span><span class="o">.</span><span class="n">exists</span><span class="p">():</span>
+            <span class="n">i</span> <span class="o">+=</span> <span class="mi">1</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_text_file</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">_text_file</span><span class="o">.</span><span class="n">parent</span>
+                <span class="o">/</span> <span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">_text_file</span><span class="o">.</span><span class="n">stem</span><span class="o">.</span><span class="n">rsplit</span><span class="p">(</span><span class="s1">'_'</span><span class="p">,</span><span class="w"> </span><span class="mi">1</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="si">}</span><span class="s2">_</span><span class="si">{</span><span class="n">i</span><span class="si">}{</span><span class="bp">self</span><span class="o">.</span><span class="n">_text_file</span><span class="o">.</span><span class="n">suffix</span><span class="si">}</span><span class="s2">"</span>
+            <span class="p">)</span>
+
+        <span class="c1"># Make sure all directories are created:</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_text_file</span><span class="o">.</span><span class="n">parent</span><span class="o">.</span><span class="n">mkdir</span><span class="p">(</span><span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">parents</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+        <span class="c1"># Write to file:</span>
+        <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_text_file</span><span class="p">,</span> <span class="s2">"w"</span><span class="p">)</span> <span class="k">as</span> <span class="n">fp</span><span class="p">:</span>
+            <span class="n">fp</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_transcription_output</span><span class="p">[</span><span class="s2">"text"</span><span class="p">])</span></div>
+
+
+<div class="viewcode-block" id="SpeechDiarizationTask"><a class="viewcode-back" href="documentation.html#transcribe.transcribe.SpeechDiarizationTask">[docs]</a><span class="k">class</span> <span class="nc">SpeechDiarizationTask</span><span class="p">(</span><span class="n">BaseTask</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    A task to write the transcription to file with respect to a given speech diarization.</span>
+<span class="sd">    """</span>
+
+    <span class="k">class</span> <span class="nc">_DiarizationSegment</span><span class="p">(</span><span class="n">NamedTuple</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        A speech diarization segment.</span>
+<span class="sd">        """</span>
+
+        <span class="n">start</span><span class="p">:</span> <span class="nb">float</span>
+        <span class="n">end</span><span class="p">:</span> <span class="nb">float</span>
+        <span class="n">speaker</span><span class="p">:</span> <span class="nb">str</span>
+
+    <span class="k">class</span> <span class="nc">_WordTimestamp</span><span class="p">(</span><span class="n">NamedTuple</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        A word with its start and end timestamps.</span>
+<span class="sd">        """</span>
+
+        <span class="n">start</span><span class="p">:</span> <span class="nb">float</span>
+        <span class="n">end</span><span class="p">:</span> <span class="nb">float</span>
+        <span class="n">text</span><span class="p">:</span> <span class="nb">str</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">audio_file</span><span class="p">:</span> <span class="n">Path</span><span class="p">,</span>
+        <span class="n">transcription_output</span><span class="p">:</span> <span class="nb">dict</span><span class="p">,</span>
+        <span class="n">text_file</span><span class="p">:</span> <span class="n">Path</span><span class="p">,</span>
+        <span class="n">speech_diarization</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tuple</span><span class="p">[</span><span class="nb">float</span><span class="p">,</span> <span class="nb">float</span><span class="p">,</span> <span class="nb">str</span><span class="p">]],</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Initialize the task.</span>
+
+<span class="sd">        :param audio_file:           Path to the audio file that was transcribed.</span>
+<span class="sd">        :param transcription_output: The transcription output from the pipeline.</span>
+<span class="sd">        :param text_file:            Path to the text file to write the transcription to.</span>
+<span class="sd">        :param speech_diarization:   A speech diarization as a list of tuples: (start, end, speaker).</span>
+<span class="sd">        """</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span>
+            <span class="n">audio_file</span><span class="o">=</span><span class="n">audio_file</span><span class="p">,</span>
+            <span class="n">transcription_output</span><span class="o">=</span><span class="n">transcription_output</span><span class="p">,</span>
+            <span class="n">text_file</span><span class="o">=</span><span class="n">text_file</span><span class="p">,</span>
+        <span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_speech_diarization</span> <span class="o">=</span> <span class="n">speech_diarization</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_segments</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">SpeechDiarizationTask</span><span class="o">.</span><span class="n">_DiarizationSegment</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_last_chosen_index</span> <span class="o">=</span> <span class="mi">0</span>
+
+<div class="viewcode-block" id="SpeechDiarizationTask.to_tuple"><a class="viewcode-back" href="documentation.html#transcribe.transcribe.SpeechDiarizationTask.to_tuple">[docs]</a>    <span class="k">def</span> <span class="nf">to_tuple</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">dict</span><span class="p">]:</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Convert the task to a tuple to reconstruct it later (used for multiprocessing to pass in queue).</span>
+
+<span class="sd">        :returns: The converted task.</span>
+<span class="sd">        """</span>
+        <span class="n">task_class</span><span class="p">,</span> <span class="n">task_kwargs</span> <span class="o">=</span> <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="n">to_tuple</span><span class="p">()</span>
+        <span class="k">return</span> <span class="n">task_class</span><span class="p">,</span> <span class="p">{</span>
+            <span class="o">**</span><span class="n">task_kwargs</span><span class="p">,</span>
+            <span class="s2">"speech_diarization"</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">_speech_diarization</span><span class="p">,</span>
+        <span class="p">}</span></div>
+
+    <span class="k">def</span> <span class="nf">_do_task</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Perform the task - write the transcription to the stored file path with respect to the given speech diarization.</span>
+<span class="sd">        """</span>
+        <span class="c1"># Check if a speech diarization is given, if not, just write the transcription to file:</span>
+        <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">_speech_diarization</span><span class="p">:</span>
+            <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="n">_do_task</span><span class="p">()</span>
+            <span class="k">return</span>
+
+        <span class="c1"># Cast the chunks to word timestamps tuples:</span>
+        <span class="n">words</span> <span class="o">=</span> <span class="p">[</span>
+            <span class="n">SpeechDiarizationTask</span><span class="o">.</span><span class="n">_WordTimestamp</span><span class="p">(</span>
+                <span class="n">start</span><span class="o">=</span><span class="n">chunk</span><span class="p">[</span><span class="s2">"timestamp"</span><span class="p">][</span><span class="mi">0</span><span class="p">],</span>
+                <span class="n">end</span><span class="o">=</span><span class="n">chunk</span><span class="p">[</span><span class="s2">"timestamp"</span><span class="p">][</span><span class="mi">1</span><span class="p">],</span>
+                <span class="n">text</span><span class="o">=</span><span class="n">chunk</span><span class="p">[</span><span class="s2">"text"</span><span class="p">],</span>
+            <span class="p">)</span>
+            <span class="k">for</span> <span class="n">chunk</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_transcription_output</span><span class="p">[</span><span class="s2">"chunks"</span><span class="p">]</span>
+        <span class="p">]</span>
+
+        <span class="c1"># Cast speech diarization to segments tuples:</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_segments</span> <span class="o">=</span> <span class="p">[</span>
+            <span class="n">SpeechDiarizationTask</span><span class="o">.</span><span class="n">_DiarizationSegment</span><span class="p">(</span><span class="o">*</span><span class="n">segment</span><span class="p">)</span>
+            <span class="k">for</span> <span class="n">segment</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_speech_diarization</span>
+        <span class="p">]</span>
+
+        <span class="c1"># Try to match the Whisper model predicted timestamps to the closest diarization segment (closest diarization</span>
+        <span class="c1"># segment will be the most overlapping with the word, and if there is no overlap, the closest segment to the</span>
+        <span class="c1"># word):</span>
+        <span class="n">speaker</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_segments</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">_last_chosen_index</span><span class="p">]</span><span class="o">.</span><span class="n">speaker</span>
+        <span class="n">text</span> <span class="o">=</span> <span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">speaker</span><span class="si">}</span><span class="s2">:"</span>
+        <span class="k">for</span> <span class="n">word</span> <span class="ow">in</span> <span class="n">words</span><span class="p">:</span>
+            <span class="c1"># Get the next diarization segment:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_get_next_segment</span><span class="p">(</span><span class="n">word</span><span class="o">=</span><span class="n">word</span><span class="p">)</span>
+            <span class="c1"># Check if the segment is of the same speaker:</span>
+            <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_segments</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">_last_chosen_index</span><span class="p">]</span><span class="o">.</span><span class="n">speaker</span> <span class="o">==</span> <span class="n">speaker</span><span class="p">:</span>
+                <span class="c1"># Collect the word:</span>
+                <span class="n">text</span> <span class="o">+=</span> <span class="n">word</span><span class="o">.</span><span class="n">text</span>
+            <span class="k">else</span><span class="p">:</span>
+                <span class="c1"># Append a newline and update the new speaker:</span>
+                <span class="n">speaker</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_segments</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">_last_chosen_index</span><span class="p">]</span><span class="o">.</span><span class="n">speaker</span>
+                <span class="n">text</span> <span class="o">+=</span> <span class="sa">f</span><span class="s2">"</span><span class="se">\n</span><span class="si">{</span><span class="n">speaker</span><span class="si">}</span><span class="s2">:</span><span class="si">{</span><span class="n">word</span><span class="o">.</span><span class="n">text</span><span class="si">}</span><span class="s2">"</span>
+
+        <span class="c1"># Update the transcription output with the new text to write it to file:</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_transcription_output</span><span class="p">[</span><span class="s2">"text"</span><span class="p">]</span> <span class="o">=</span> <span class="n">text</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="n">_do_task</span><span class="p">()</span>
+
+    <span class="k">def</span> <span class="nf">_get_next_segment</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">word</span><span class="p">:</span> <span class="n">_WordTimestamp</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Get the next diarization segment the given word falls into. The `self._last_chosen_index` will be updated</span>
+<span class="sd">        accordingly.</span>
+
+<span class="sd">        :param word: The word timestamp to match to the next segment.</span>
+<span class="sd">        """</span>
+        <span class="c1"># If the last chosen segment is the last segment, return it:</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_last_chosen_index</span> <span class="o">==</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_segments</span><span class="p">)</span> <span class="o">-</span> <span class="mi">1</span><span class="p">:</span>
+            <span class="k">return</span>
+
+        <span class="c1"># Get the last chosen diarization segment:</span>
+        <span class="n">last_chosen</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_segments</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">_last_chosen_index</span><span class="p">]</span>
+
+        <span class="c1"># None value may appear if the word is the last word in the audio file, or it was split during inference. In</span>
+        <span class="c1"># that case, we'll set the last segment:</span>
+        <span class="k">if</span> <span class="n">word</span><span class="o">.</span><span class="n">end</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_last_chosen_index</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_segments</span><span class="p">)</span> <span class="o">-</span> <span class="mi">1</span>
+            <span class="k">return</span>
+
+        <span class="c1"># If the word ends before the last chosen segment:</span>
+        <span class="k">if</span> <span class="n">word</span><span class="o">.</span><span class="n">end</span> <span class="o">&lt;=</span> <span class="n">last_chosen</span><span class="o">.</span><span class="n">start</span><span class="p">:</span>
+            <span class="c1"># Then it is still the closest segment</span>
+            <span class="k">return</span>
+
+        <span class="c1"># We check if it ends inside the last chosen segment:</span>
+        <span class="k">if</span> <span class="n">word</span><span class="o">.</span><span class="n">end</span> <span class="o">&lt;</span> <span class="n">last_chosen</span><span class="o">.</span><span class="n">end</span><span class="p">:</span>
+            <span class="c1"># Then it still is the closest segment</span>
+            <span class="k">return</span>
+
+        <span class="c1"># The word ends after the segment, we need to collect all next segments up until the word ends before them:</span>
+        <span class="n">possible_segments</span> <span class="o">=</span> <span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">_last_chosen_index</span><span class="p">]</span>
+        <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_last_chosen_index</span> <span class="o">+</span> <span class="mi">1</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_segments</span><span class="p">)):</span>
+            <span class="k">if</span> <span class="n">word</span><span class="o">.</span><span class="n">end</span> <span class="o">&gt;</span> <span class="bp">self</span><span class="o">.</span><span class="n">_segments</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">end</span><span class="p">:</span>
+                <span class="n">possible_segments</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">i</span><span class="p">)</span>
+                <span class="k">continue</span>
+            <span class="n">possible_segments</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">i</span><span class="p">)</span>
+            <span class="k">break</span>
+
+        <span class="c1"># Check for the most overlapping option:</span>
+        <span class="n">best_overlap</span> <span class="o">=</span> <span class="mi">0</span>
+        <span class="n">most_overlapping_segment_index</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="n">possible_segments</span><span class="p">:</span>
+            <span class="c1"># If the word starts before segment:</span>
+            <span class="k">if</span> <span class="n">word</span><span class="o">.</span><span class="n">start</span> <span class="o">&lt;=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_segments</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">start</span><span class="p">:</span>
+                <span class="c1"># If it ends before the segment, there is an overlap from the start of the segment to the end of the</span>
+                <span class="c1"># word:</span>
+                <span class="k">if</span> <span class="n">word</span><span class="o">.</span><span class="n">end</span> <span class="o">&lt;</span> <span class="bp">self</span><span class="o">.</span><span class="n">_segments</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">end</span><span class="p">:</span>
+                    <span class="n">overlap</span> <span class="o">=</span> <span class="n">word</span><span class="o">.</span><span class="n">end</span> <span class="o">-</span> <span class="bp">self</span><span class="o">.</span><span class="n">_segments</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">start</span>
+                <span class="k">else</span><span class="p">:</span>
+                    <span class="c1"># The word is wrapping the segment, the overlap is the segment's length:</span>
+                    <span class="n">overlap</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_segments</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">end</span> <span class="o">-</span> <span class="bp">self</span><span class="o">.</span><span class="n">_segments</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">start</span>
+            <span class="c1"># The word starts in segment, check if the word ends in it:</span>
+            <span class="k">elif</span> <span class="n">word</span><span class="o">.</span><span class="n">end</span> <span class="o">&lt;</span> <span class="bp">self</span><span class="o">.</span><span class="n">_segments</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">end</span><span class="p">:</span>
+                <span class="c1"># The overlap is the word's length:</span>
+                <span class="n">overlap</span> <span class="o">=</span> <span class="n">word</span><span class="o">.</span><span class="n">end</span> <span class="o">-</span> <span class="n">word</span><span class="o">.</span><span class="n">start</span>
+            <span class="c1"># The word start in segment but ends after it, the overlap is from the word's start to the segment's end:</span>
+            <span class="k">else</span><span class="p">:</span>
+                <span class="n">overlap</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_segments</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">end</span> <span class="o">-</span> <span class="n">word</span><span class="o">.</span><span class="n">start</span>
+            <span class="c1"># Check for new best overlap:</span>
+            <span class="k">if</span> <span class="n">overlap</span> <span class="o">&gt;</span> <span class="n">best_overlap</span><span class="p">:</span>
+                <span class="n">best_overlap</span> <span class="o">=</span> <span class="n">overlap</span>
+                <span class="n">most_overlapping_segment_index</span> <span class="o">=</span> <span class="n">i</span>
+        <span class="k">if</span> <span class="n">most_overlapping_segment_index</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_last_chosen_index</span> <span class="o">=</span> <span class="n">most_overlapping_segment_index</span>
+            <span class="k">return</span>
+
+        <span class="c1"># If there is no overlapping segment, return the closest segment:</span>
+        <span class="n">best_distance</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="n">closest_segment_index</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="n">possible_segments</span><span class="p">:</span>
+            <span class="n">distance</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="n">word</span><span class="o">.</span><span class="n">start</span> <span class="o">-</span> <span class="bp">self</span><span class="o">.</span><span class="n">_segments</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">end</span>
+                <span class="k">if</span> <span class="n">word</span><span class="o">.</span><span class="n">start</span> <span class="o">&gt;</span> <span class="bp">self</span><span class="o">.</span><span class="n">_segments</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">end</span>
+                <span class="k">else</span> <span class="bp">self</span><span class="o">.</span><span class="n">_segments</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">start</span> <span class="o">-</span> <span class="n">word</span><span class="o">.</span><span class="n">end</span>
+            <span class="p">)</span>
+            <span class="k">if</span> <span class="n">best_distance</span> <span class="ow">is</span> <span class="kc">None</span> <span class="ow">or</span> <span class="n">distance</span> <span class="o">&lt;</span> <span class="n">best_distance</span><span class="p">:</span>
+                <span class="n">best_distance</span> <span class="o">=</span> <span class="n">distance</span>
+                <span class="n">closest_segment_index</span> <span class="o">=</span> <span class="n">i</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_last_chosen_index</span> <span class="o">=</span> <span class="n">closest_segment_index</span></div>
+
+
+<div class="viewcode-block" id="SpeechDiarizationPerChannelTask"><a class="viewcode-back" href="documentation.html#transcribe.transcribe.SpeechDiarizationPerChannelTask">[docs]</a><span class="k">class</span> <span class="nc">SpeechDiarizationPerChannelTask</span><span class="p">(</span><span class="n">BaseTask</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    A task to write the transcription to file with respect to a given speech diarization per channel.</span>
+<span class="sd">    """</span>
+
+    <span class="k">class</span> <span class="nc">_WordTimestamp</span><span class="p">(</span><span class="n">NamedTuple</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        A word with its start and end timestamps and speaker label (channel the word was taken from).</span>
+<span class="sd">        """</span>
+
+        <span class="n">start</span><span class="p">:</span> <span class="nb">float</span>
+        <span class="n">end</span><span class="p">:</span> <span class="nb">float</span>
+        <span class="n">speaker</span><span class="p">:</span> <span class="nb">str</span>
+        <span class="n">text</span><span class="p">:</span> <span class="nb">str</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">audio_file</span><span class="p">:</span> <span class="n">Path</span><span class="p">,</span> <span class="n">text_file</span><span class="p">:</span> <span class="n">Path</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Initialize the task.</span>
+
+<span class="sd">        :param audio_file: Path to the audio file that was transcribed.</span>
+<span class="sd">        :param text_file:  Path to the text file to write the transcription to.</span>
+<span class="sd">        """</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span>
+            <span class="n">audio_file</span><span class="o">=</span><span class="n">audio_file</span><span class="p">,</span> <span class="n">transcription_output</span><span class="o">=</span><span class="p">{},</span> <span class="n">text_file</span><span class="o">=</span><span class="n">text_file</span>
+        <span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_transcription_output_channels</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tuple</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">dict</span><span class="p">]]</span> <span class="o">=</span> <span class="p">[]</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">transcription_output_channels</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="n">Tuple</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">dict</span><span class="p">]]:</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Get the transcription output channels.</span>
+
+<span class="sd">        :returns: The transcription output channels.</span>
+<span class="sd">        """</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_transcription_output_channels</span>
+
+<div class="viewcode-block" id="SpeechDiarizationPerChannelTask.do_task"><a class="viewcode-back" href="documentation.html#transcribe.transcribe.SpeechDiarizationPerChannelTask.do_task">[docs]</a>    <span class="k">def</span> <span class="nf">do_task</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Try to perform the task storing an error if occurred.</span>
+<span class="sd">        """</span>
+        <span class="k">for</span> <span class="n">_</span><span class="p">,</span> <span class="n">channel_output</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_transcription_output_channels</span><span class="p">:</span>
+            <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">channel_output</span><span class="p">,</span> <span class="nb">str</span><span class="p">):</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">_error</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_transcription_output_channels</span>
+                <span class="k">return</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="n">do_task</span><span class="p">()</span></div>
+
+<div class="viewcode-block" id="SpeechDiarizationPerChannelTask.to_tuple"><a class="viewcode-back" href="documentation.html#transcribe.transcribe.SpeechDiarizationPerChannelTask.to_tuple">[docs]</a>    <span class="k">def</span> <span class="nf">to_tuple</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">dict</span><span class="p">]:</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Convert the task to a tuple to reconstruct it later (used for multiprocessing to pass in queue).</span>
+
+<span class="sd">        :returns: The converted task.</span>
+<span class="sd">        """</span>
+        <span class="n">task_class</span><span class="p">,</span> <span class="n">task_kwargs</span> <span class="o">=</span> <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="n">to_tuple</span><span class="p">()</span>
+        <span class="n">task_kwargs</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s2">"transcription_output"</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">task_class</span><span class="p">,</span> <span class="n">task_kwargs</span></div>
+
+    <span class="k">def</span> <span class="nf">_do_task</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Perform the task - write the transcription to the stored file path with respect to the given speech diarization</span>
+<span class="sd">        per channel.</span>
+<span class="sd">        """</span>
+        <span class="c1"># Cast the chunks to word timestamps tuples:</span>
+        <span class="n">words_per_channel</span> <span class="o">=</span> <span class="p">[</span>
+            <span class="p">[</span>
+                <span class="n">SpeechDiarizationPerChannelTask</span><span class="o">.</span><span class="n">_WordTimestamp</span><span class="p">(</span>
+                    <span class="n">start</span><span class="o">=</span><span class="n">chunk</span><span class="p">[</span><span class="s2">"timestamp"</span><span class="p">][</span><span class="mi">0</span><span class="p">],</span>
+                    <span class="n">end</span><span class="o">=</span><span class="n">chunk</span><span class="p">[</span><span class="s2">"timestamp"</span><span class="p">][</span><span class="mi">1</span><span class="p">],</span>
+                    <span class="n">speaker</span><span class="o">=</span><span class="n">speaker</span><span class="p">,</span>
+                    <span class="n">text</span><span class="o">=</span><span class="n">chunk</span><span class="p">[</span><span class="s2">"text"</span><span class="p">],</span>
+                <span class="p">)</span>
+                <span class="k">for</span> <span class="n">chunk</span> <span class="ow">in</span> <span class="n">output</span><span class="p">[</span><span class="s2">"chunks"</span><span class="p">]</span>
+            <span class="p">]</span>
+            <span class="k">for</span> <span class="n">speaker</span><span class="p">,</span> <span class="n">output</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_transcription_output_channels</span>
+        <span class="p">]</span>
+
+        <span class="c1"># Merge and sort the words per channel by their start time:</span>
+        <span class="n">words</span> <span class="o">=</span> <span class="n">operator</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="o">*</span><span class="n">words_per_channel</span><span class="p">)</span>
+        <span class="n">words</span><span class="o">.</span><span class="n">sort</span><span class="p">()</span>
+
+        <span class="c1"># Write the transcription to file:</span>
+        <span class="n">current_speaker</span> <span class="o">=</span> <span class="n">words</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">speaker</span>
+        <span class="n">text</span> <span class="o">=</span> <span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">current_speaker</span><span class="si">}</span><span class="s2">:"</span>
+        <span class="k">for</span> <span class="n">word</span> <span class="ow">in</span> <span class="n">words</span><span class="p">:</span>
+            <span class="c1"># Check if the word's speaker is different from the current one:</span>
+            <span class="k">if</span> <span class="n">word</span><span class="o">.</span><span class="n">speaker</span> <span class="o">!=</span> <span class="n">current_speaker</span><span class="p">:</span>
+                <span class="c1"># Append a newline and update the new speaker:</span>
+                <span class="n">current_speaker</span> <span class="o">=</span> <span class="n">word</span><span class="o">.</span><span class="n">speaker</span>
+                <span class="n">text</span> <span class="o">+=</span> <span class="sa">f</span><span class="s2">"</span><span class="se">\n</span><span class="si">{</span><span class="n">current_speaker</span><span class="si">}</span><span class="s2">:"</span>
+            <span class="c1"># Collect the word:</span>
+            <span class="n">text</span> <span class="o">+=</span> <span class="n">word</span><span class="o">.</span><span class="n">text</span>
+
+        <span class="c1"># Update the transcription output with the new text to write it to file:</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_transcription_output</span><span class="p">[</span><span class="s2">"text"</span><span class="p">]</span> <span class="o">=</span> <span class="n">text</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="n">_do_task</span><span class="p">()</span></div>
+
+
+<div class="viewcode-block" id="BatchProcessor"><a class="viewcode-back" href="documentation.html#transcribe.transcribe.BatchProcessor">[docs]</a><span class="k">class</span> <span class="nc">BatchProcessor</span><span class="p">:</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    A batch processor to process batches of transcriptions. The batch processor is creating tasks and is aimed to be</span>
+<span class="sd">    working along the transcriber. It can be used with multiprocessing queue or run the tasks directly using the</span>
+<span class="sd">    associated methods.</span>
+<span class="sd">    """</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">audio_files</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Path</span><span class="p">],</span> <span class="n">output_directory</span><span class="p">:</span> <span class="n">Path</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Initialize the batch processor.</span>
+
+<span class="sd">        :param audio_files:      The list of all audio files to transcribe.</span>
+<span class="sd">        :param output_directory: The output directory to write the transcriptions to.</span>
+<span class="sd">        """</span>
+        <span class="c1"># Store the parameters:</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_audio_files</span> <span class="o">=</span> <span class="n">audio_files</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_output_directory</span> <span class="o">=</span> <span class="n">output_directory</span>
+
+        <span class="c1"># Prepare the batching variables:</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_current_file_index</span> <span class="o">=</span> <span class="mi">0</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_tasks</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">BaseTask</span><span class="p">]</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_results</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tuple</span><span class="p">[</span><span class="nb">bool</span><span class="p">,</span> <span class="n">Tuple</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">str</span><span class="p">]]]</span> <span class="o">=</span> <span class="p">[]</span>
+
+<div class="viewcode-block" id="BatchProcessor.process_batch"><a class="viewcode-back" href="documentation.html#transcribe.transcribe.BatchProcessor.process_batch">[docs]</a>    <span class="k">def</span> <span class="nf">process_batch</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">batch</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Union</span><span class="p">[</span><span class="nb">dict</span><span class="p">,</span> <span class="nb">str</span><span class="p">]]):</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Process a batch of transcriptions. Tasks related to the given batch will be created and stored in the batch</span>
+<span class="sd">        processor.</span>
+
+<span class="sd">        :param batch: The batch of transcriptions to process.</span>
+<span class="sd">        """</span>
+        <span class="c1"># Get the relevant files belongs to the given batch:</span>
+        <span class="n">current_files</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_get_current_files</span><span class="p">(</span><span class="n">batch_size</span><span class="o">=</span><span class="nb">len</span><span class="p">(</span><span class="n">batch</span><span class="p">))</span>
+
+        <span class="c1"># Build the diarization tasks:</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_tasks</span><span class="o">.</span><span class="n">extend</span><span class="p">(</span>
+            <span class="p">[</span>
+                <span class="n">BaseTask</span><span class="p">(</span>
+                    <span class="n">audio_file</span><span class="o">=</span><span class="n">file</span><span class="p">,</span>
+                    <span class="n">transcription_output</span><span class="o">=</span><span class="n">batch</span><span class="p">[</span><span class="n">i</span><span class="p">],</span>
+                    <span class="n">text_file</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_output_directory</span> <span class="o">/</span> <span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">file</span><span class="o">.</span><span class="n">stem</span><span class="si">}</span><span class="s2">.txt"</span><span class="p">,</span>
+                <span class="p">)</span>
+                <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">file</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">current_files</span><span class="p">)</span>
+            <span class="p">]</span>
+        <span class="p">)</span></div>
+
+<div class="viewcode-block" id="BatchProcessor.get_tasks"><a class="viewcode-back" href="documentation.html#transcribe.transcribe.BatchProcessor.get_tasks">[docs]</a>    <span class="k">def</span> <span class="nf">get_tasks</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="n">BaseTask</span><span class="p">]:</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Get the tasks to perform.</span>
+
+<span class="sd">        :returns: The tasks to perform.</span>
+<span class="sd">        """</span>
+        <span class="n">tasks</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_tasks</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_tasks</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="k">return</span> <span class="n">tasks</span></div>
+
+<div class="viewcode-block" id="BatchProcessor.do_tasks"><a class="viewcode-back" href="documentation.html#transcribe.transcribe.BatchProcessor.do_tasks">[docs]</a>    <span class="k">def</span> <span class="nf">do_tasks</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Perform the tasks. Should be used if no multiprocessing queue is given to a transcriber.</span>
+<span class="sd">        """</span>
+        <span class="k">for</span> <span class="n">task</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_tasks</span><span class="p">():</span>
+            <span class="n">task</span><span class="o">.</span><span class="n">do_task</span><span class="p">()</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_results</span><span class="o">.</span><span class="n">append</span><span class="p">((</span><span class="n">task</span><span class="o">.</span><span class="n">is_failed</span><span class="p">(),</span> <span class="n">task</span><span class="o">.</span><span class="n">get_result</span><span class="p">()))</span></div>
+
+<div class="viewcode-block" id="BatchProcessor.get_results"><a class="viewcode-back" href="documentation.html#transcribe.transcribe.BatchProcessor.get_results">[docs]</a>    <span class="k">def</span> <span class="nf">get_results</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="n">Tuple</span><span class="p">[</span><span class="nb">bool</span><span class="p">,</span> <span class="n">Tuple</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">str</span><span class="p">]]]:</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Get the results of the tasks. The stored results are then cleared.</span>
+
+<span class="sd">        :returns: The results of the tasks.</span>
+<span class="sd">        """</span>
+        <span class="n">results</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_results</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_results</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="k">return</span> <span class="n">results</span></div>
+
+    <span class="k">def</span> <span class="nf">_get_current_files</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">batch_size</span><span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="n">Path</span><span class="p">]:</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Get the current files to process.</span>
+
+<span class="sd">        :param batch_size: The batch size to progress the current file index.</span>
+
+<span class="sd">        :returns: The current files to process.</span>
+<span class="sd">        """</span>
+        <span class="n">end_index</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_current_file_index</span> <span class="o">+</span> <span class="n">batch_size</span>
+            <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_current_file_index</span> <span class="o">+</span> <span class="n">batch_size</span> <span class="o">&lt;</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_audio_files</span><span class="p">)</span>
+            <span class="k">else</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_audio_files</span><span class="p">)</span>
+        <span class="p">)</span>
+        <span class="n">current_files</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_audio_files</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">_current_file_index</span> <span class="p">:</span> <span class="n">end_index</span><span class="p">]</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_current_file_index</span> <span class="o">=</span> <span class="n">end_index</span>
+        <span class="k">return</span> <span class="n">current_files</span></div>
+
+
+<div class="viewcode-block" id="SpeechDiarizationBatchProcessor"><a class="viewcode-back" href="documentation.html#transcribe.transcribe.SpeechDiarizationBatchProcessor">[docs]</a><span class="k">class</span> <span class="nc">SpeechDiarizationBatchProcessor</span><span class="p">(</span><span class="n">BatchProcessor</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    A batch processor to process batches of transcriptions with respect to a given speech diarization. The batch</span>
+<span class="sd">    processor is creating tasks and is aimed to be working along the transcriber. It can be used with multiprocessing</span>
+<span class="sd">    queue or run the tasks directly using the associated methods.</span>
+<span class="sd">    """</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span> <span class="n">audio_files</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Path</span><span class="p">],</span> <span class="n">output_directory</span><span class="p">:</span> <span class="n">Path</span><span class="p">,</span> <span class="n">speech_diarization</span><span class="p">:</span> <span class="nb">dict</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Initialize the batch processor.</span>
+
+<span class="sd">        :param audio_files:        The list of all audio files to transcribe.</span>
+<span class="sd">        :param output_directory:   The output directory to write the transcriptions to.</span>
+<span class="sd">        :param speech_diarization: A speech diarization dictionary to pass along with each processed batch.</span>
+<span class="sd">        """</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">audio_files</span><span class="o">=</span><span class="n">audio_files</span><span class="p">,</span> <span class="n">output_directory</span><span class="o">=</span><span class="n">output_directory</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_speech_diarization</span> <span class="o">=</span> <span class="n">speech_diarization</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_audio_files</span> <span class="o">=</span> <span class="n">audio_files</span>
+
+<div class="viewcode-block" id="SpeechDiarizationBatchProcessor.process_batch"><a class="viewcode-back" href="documentation.html#transcribe.transcribe.SpeechDiarizationBatchProcessor.process_batch">[docs]</a>    <span class="k">def</span> <span class="nf">process_batch</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">batch</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">dict</span><span class="p">]):</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Process a batch of transcriptions. Tasks related to the given batch will be created and stored in the batch</span>
+<span class="sd">        processor.</span>
+
+<span class="sd">        :param batch: The batch of transcriptions to process.</span>
+<span class="sd">        """</span>
+        <span class="c1"># Get the relevant files belongs to the given batch:</span>
+        <span class="n">current_files</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_get_current_files</span><span class="p">(</span><span class="n">batch_size</span><span class="o">=</span><span class="nb">len</span><span class="p">(</span><span class="n">batch</span><span class="p">))</span>
+
+        <span class="c1"># Build the diarization tasks:</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_tasks</span><span class="o">.</span><span class="n">extend</span><span class="p">(</span>
+            <span class="p">[</span>
+                <span class="n">SpeechDiarizationTask</span><span class="p">(</span>
+                    <span class="n">audio_file</span><span class="o">=</span><span class="n">file</span><span class="p">,</span>
+                    <span class="n">transcription_output</span><span class="o">=</span><span class="n">batch</span><span class="p">[</span><span class="n">i</span><span class="p">],</span>
+                    <span class="n">text_file</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_output_directory</span> <span class="o">/</span> <span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">file</span><span class="o">.</span><span class="n">stem</span><span class="si">}</span><span class="s2">.txt"</span><span class="p">,</span>
+                    <span class="n">speech_diarization</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_speech_diarization</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="n">file</span><span class="o">.</span><span class="n">name</span><span class="p">),</span>
+                <span class="p">)</span>
+                <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">file</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">current_files</span><span class="p">)</span>
+            <span class="p">]</span>
+        <span class="p">)</span></div></div>
+
+
+<div class="viewcode-block" id="PerChannelSpeechDiarizationBatchProcessor"><a class="viewcode-back" href="documentation.html#transcribe.transcribe.PerChannelSpeechDiarizationBatchProcessor">[docs]</a><span class="k">class</span> <span class="nc">PerChannelSpeechDiarizationBatchProcessor</span><span class="p">(</span><span class="n">BatchProcessor</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    A batch processor to process batches of transcriptions per channel. The batch processor is creating tasks with the</span>
+<span class="sd">    selected amount of channels given and is aimed to be working along the transcriber. It can be used with</span>
+<span class="sd">    multiprocessing queue or run the tasks directly using the associated methods.</span>
+<span class="sd">    """</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">audio_files</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Path</span><span class="p">],</span>
+        <span class="n">output_directory</span><span class="p">:</span> <span class="n">Path</span><span class="p">,</span>
+        <span class="n">n_channels</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+        <span class="n">speakers</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">],</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Initialize the batch processor.</span>
+
+<span class="sd">        :param audio_files:      The list of all audio files to transcribe.</span>
+<span class="sd">        :param output_directory: The output directory to write the transcriptions to.</span>
+<span class="sd">        :param n_channels:       The number of channels in each audio file to transcribe.</span>
+<span class="sd">        :param speakers:         The speakers labels to use for each channel.</span>
+<span class="sd">        """</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">audio_files</span><span class="o">=</span><span class="n">audio_files</span><span class="p">,</span> <span class="n">output_directory</span><span class="o">=</span><span class="n">output_directory</span><span class="p">)</span>
+
+        <span class="c1"># Store the parameters:</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_n_channels</span> <span class="o">=</span> <span class="n">n_channels</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_speakers</span> <span class="o">=</span> <span class="n">speakers</span>
+
+        <span class="c1"># Prepare a channel buffer to store the channels until the current task created is fully covered:</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_task_in_process</span><span class="p">:</span> <span class="n">SpeechDiarizationPerChannelTask</span> <span class="o">=</span> <span class="kc">None</span>
+
+<div class="viewcode-block" id="PerChannelSpeechDiarizationBatchProcessor.process_batch"><a class="viewcode-back" href="documentation.html#transcribe.transcribe.PerChannelSpeechDiarizationBatchProcessor.process_batch">[docs]</a>    <span class="k">def</span> <span class="nf">process_batch</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">batch</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">dict</span><span class="p">]):</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Process a batch of transcriptions. Tasks related to the given batch will be created and stored in the batch</span>
+<span class="sd">        processor.</span>
+
+<span class="sd">        :param batch: The batch of transcriptions to process.</span>
+<span class="sd">        """</span>
+        <span class="c1"># Go over the batch and create the tasks:</span>
+        <span class="k">for</span> <span class="n">output</span> <span class="ow">in</span> <span class="n">batch</span><span class="p">:</span>
+            <span class="c1"># Check if there is a task in process:</span>
+            <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">_task_in_process</span><span class="p">:</span>
+                <span class="c1"># Create a new task:</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">_task_in_process</span> <span class="o">=</span> <span class="n">SpeechDiarizationPerChannelTask</span><span class="p">(</span>
+                    <span class="n">audio_file</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_audio_files</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">_current_file_index</span><span class="p">],</span>
+                    <span class="n">text_file</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_output_directory</span>
+                    <span class="o">/</span> <span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">_audio_files</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">_current_file_index</span><span class="p">]</span><span class="o">.</span><span class="n">stem</span><span class="si">}</span><span class="s2">.txt"</span><span class="p">,</span>
+                <span class="p">)</span>
+            <span class="c1"># Get the channel's speaker:</span>
+            <span class="n">speaker</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_speakers</span><span class="p">[</span>
+                <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_task_in_process</span><span class="o">.</span><span class="n">transcription_output_channels</span><span class="p">)</span>
+            <span class="p">]</span>
+            <span class="c1"># Collect the channel into the processed task:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_task_in_process</span><span class="o">.</span><span class="n">transcription_output_channels</span><span class="o">.</span><span class="n">append</span><span class="p">(</span>
+                <span class="p">(</span><span class="n">speaker</span><span class="p">,</span> <span class="n">output</span><span class="p">)</span>
+            <span class="p">)</span>
+            <span class="c1"># Check if the task is fully covered (all channels are collected):</span>
+            <span class="k">if</span> <span class="p">(</span>
+                <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_task_in_process</span><span class="o">.</span><span class="n">transcription_output_channels</span><span class="p">)</span>
+                <span class="o">==</span> <span class="bp">self</span><span class="o">.</span><span class="n">_n_channels</span>
+            <span class="p">):</span>
+                <span class="c1"># Collect the task and reset the task in process:</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">_tasks</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_task_in_process</span><span class="p">)</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">_current_file_index</span> <span class="o">+=</span> <span class="mi">1</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">_task_in_process</span> <span class="o">=</span> <span class="kc">None</span></div></div>
+
+
+<div class="viewcode-block" id="Transcriber"><a class="viewcode-back" href="documentation.html#transcribe.transcribe.Transcriber">[docs]</a><span class="k">class</span> <span class="nc">Transcriber</span><span class="p">:</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    A transcription wrapper for the Huggingface's ASR pipeline -</span>
+<span class="sd">    https://huggingface.co/transformers/main_classes/pipelines.html#transformers.AutomaticSpeechRecognitionPipeline to</span>
+<span class="sd">    use with OpenAI's Whisper models - https://huggingface.co/openai.</span>
+<span class="sd">    """</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">model_name</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
+        <span class="n">device</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+        <span class="n">use_flash_attention_2</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+        <span class="n">use_better_transformers</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+        <span class="n">assistant_model</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+        <span class="n">max_new_tokens</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">128</span><span class="p">,</span>
+        <span class="n">chunk_length_s</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">30</span><span class="p">,</span>
+        <span class="n">batch_size</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">2</span><span class="p">,</span>
+        <span class="n">spoken_language</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+        <span class="n">translate_to_english</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
+        <span class="n">return_timestamps</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">bool</span><span class="p">,</span> <span class="n">Literal</span><span class="p">[</span><span class="s2">"word"</span><span class="p">]]</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
+        <span class="n">per_channel_transcription</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">0</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Initialize the transcriber.</span>
+
+<span class="sd">        :param model_name:                The model name to use. Should be a model from the OpenAI's Whisper models for</span>
+<span class="sd">                                          best results (for example "tiny", "base", "large", etc.).</span>
+<span class="sd">        :param device:                    The device to use for inference. If not given, will use GPU if available.</span>
+<span class="sd">        :param use_flash_attention_2:     Whether to use the Flash Attention 2 implementation. It can be used only with</span>
+<span class="sd">                                          one of the following GPUs: Nvidia H series and Nvidia A series. T4 support</span>
+<span class="sd">                                          will be available soon.</span>
+
+<span class="sd">                                          Note: If both `use_flash_attention_2` and</span>
+<span class="sd">                                          `use_better_transformers` are `None`, the optimization will be chosen</span>
+<span class="sd">                                          automatically according to the available resources.</span>
+
+<span class="sd">        :param use_better_transformers:   Whether to use the Better Transformers library to further optimize the model.</span>
+<span class="sd">                                          Should be used for all use cases that do not support flash attention 2.</span>
+
+<span class="sd">                                          Note: If both `use_flash_attention_2` and `use_better_transformers` are</span>
+<span class="sd">                                          `None`, the optimization will be chosen automatically according to the</span>
+<span class="sd">                                          available resources.</span>
+<span class="sd">       :param assistant_model:           The assistant model name to use for inference. Notice that the optimizations</span>
+<span class="sd">                                          (flash attention 2 and better transformers) will be applied for the assistant</span>
+<span class="sd">                                          as well. Should be a model from Huggingface's distil-whisper (see here for</span>
+<span class="sd">                                          more information: https://github.com/huggingface/distil-whisper).</span>
+<span class="sd">        :param max_new_tokens:            The maximum number of new tokens to generate. This is used to limit the</span>
+<span class="sd">                                          generation length. Default is 128 tokens.</span>
+<span class="sd">        :param chunk_length_s:            The audio chunk to split the audio to (in seconds). Default is 30 seconds.</span>
+<span class="sd">        :param batch_size:                The batch size to use for inference. Default is 2.</span>
+<span class="sd">        :param spoken_language:           Aim whisper to know what language is spoken. If None, it will try to detect it</span>
+<span class="sd">                                          for each chunk.</span>
+<span class="sd">        :param translate_to_english:      Whether to translate the transcriptions to English. Default is False.</span>
+<span class="sd">        :param return_timestamps:         Whether to return the timestamps of the words. If "word", will return the</span>
+<span class="sd">                                          timestamps of each word. If True will return the timestamps of each chunk.</span>
+<span class="sd">                                          Default is False. Aimed to be used for speech diarization.</span>
+<span class="sd">        :param per_channel_transcription: Whether to do per channel transcription. If needed to run per channel</span>
+<span class="sd">                                          transcription, pass the number of channels expected for each audio file here.</span>
+<span class="sd">                                          0 means regular transcription (merge channels).</span>
+
+<span class="sd">                                          Note: If `per_channel_transcription` is not 0, `batch_size` must be treated to</span>
+<span class="sd">                                          be the number of channels and not audio files. Aimed to be used for per</span>
+<span class="sd">                                          channel speech diarization.</span>
+<span class="sd">        """</span>
+        <span class="c1"># Store loading parameters:</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_model_name</span> <span class="o">=</span> <span class="n">model_name</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_device</span> <span class="o">=</span> <span class="n">device</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_use_flash_attention_2</span> <span class="o">=</span> <span class="n">use_flash_attention_2</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_use_better_transformers</span> <span class="o">=</span> <span class="n">use_better_transformers</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_max_new_tokens</span> <span class="o">=</span> <span class="n">max_new_tokens</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_chunk_length_s</span> <span class="o">=</span> <span class="n">chunk_length_s</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_batch_size</span> <span class="o">=</span> <span class="n">batch_size</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_return_timestamps</span> <span class="o">=</span> <span class="n">return_timestamps</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_per_channel_transcription</span> <span class="o">=</span> <span class="n">per_channel_transcription</span>
+
+        <span class="c1"># Store generation parameters:</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_assistant_model</span> <span class="o">=</span> <span class="n">assistant_model</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_spoken_language</span> <span class="o">=</span> <span class="n">spoken_language</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_translate_to_english</span> <span class="o">=</span> <span class="n">translate_to_english</span>
+
+        <span class="c1"># Prepare the transcription objects:</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_transcription_pipeline</span><span class="p">:</span> <span class="n">AutomaticSpeechRecognitionPipeline</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_generate_kwargs</span><span class="p">:</span> <span class="nb">dict</span> <span class="o">=</span> <span class="kc">None</span>
+
+<div class="viewcode-block" id="Transcriber.load"><a class="viewcode-back" href="documentation.html#transcribe.transcribe.Transcriber.load">[docs]</a>    <span class="k">def</span> <span class="nf">load</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Load the transcriber. Must be called before transcribing.</span>
+<span class="sd">        """</span>
+        <span class="c1"># Set the device and data type to use (prefer GPU if available):</span>
+        <span class="n">device</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">device</span><span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_device</span> <span class="ow">or</span> <span class="s2">"cuda"</span> <span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">is_available</span><span class="p">()</span> <span class="k">else</span> <span class="s2">"cpu"</span>
+        <span class="p">)</span>
+        <span class="n">torch_dtype</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">float16</span> <span class="k">if</span> <span class="n">device</span><span class="o">.</span><span class="n">type</span> <span class="o">==</span> <span class="s2">"cuda"</span> <span class="k">else</span> <span class="n">torch</span><span class="o">.</span><span class="n">float32</span>
+
+        <span class="c1"># Choose the optimization to use (in case the user did not specify any):</span>
+        <span class="k">if</span> <span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_use_flash_attention_2</span> <span class="ow">is</span> <span class="kc">None</span>
+            <span class="ow">and</span> <span class="bp">self</span><span class="o">.</span><span class="n">_use_better_transformers</span> <span class="ow">is</span> <span class="kc">None</span>
+        <span class="p">):</span>
+            <span class="c1"># Prefer to use flash attention 2 if available and cuda device is supported (see GPU names to architecture</span>
+            <span class="c1"># here: https://en.wikipedia.org/wiki/List_of_Nvidia_graphics_processing_units#Tesla):</span>
+            <span class="k">if</span> <span class="n">device</span><span class="o">.</span><span class="n">type</span> <span class="o">==</span> <span class="s2">"cuda"</span> <span class="ow">and</span> <span class="n">is_flash_attn_2_available</span><span class="p">():</span>
+                <span class="n">cuda_device_name</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">get_device_properties</span><span class="p">(</span><span class="n">device</span><span class="p">)</span><span class="o">.</span><span class="n">name</span>
+                <span class="k">if</span> <span class="nb">any</span><span class="p">(</span>
+                    <span class="n">cuda_device_name</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="n">gpu_name</span><span class="p">)</span>
+                    <span class="k">for</span> <span class="n">gpu_name</span> <span class="ow">in</span> <span class="p">[</span>
+                        <span class="s2">"NVIDIA A"</span><span class="p">,</span>  <span class="c1"># For Ampere architecture (e.g. A10, A30, A100)</span>
+                        <span class="s2">"NVIDIA H"</span><span class="p">,</span>  <span class="c1"># For Hopper architecture (e.g. H100)</span>
+                        <span class="s2">"NVIDIA L"</span><span class="p">,</span>  <span class="c1"># For Ada Lovelace architecture (e.g. L4, L40)</span>
+                        <span class="s2">"NVIDIA RTX 30"</span><span class="p">,</span>  <span class="c1"># For Ada Lovelace architecture (RTX 30 series)</span>
+                        <span class="s2">"NVIDIA RTX 40"</span><span class="p">,</span>  <span class="c1"># For Ada Lovelace architecture (RTX 40 series)</span>
+                        <span class="s2">"NVIDIA RTX 50"</span><span class="p">,</span>  <span class="c1"># For Ada Lovelace architecture (RTX 50 series)</span>
+                        <span class="c1"># Will be supported soon according to FlashAttention GitHub repo:</span>
+                        <span class="c1"># https://github.com/Dao-AILab/flash-attention?tab=readme-ov-file#installation-and-features</span>
+                        <span class="c1"># "NVIDIA T4",  # For Turing architecture (only T4)</span>
+                        <span class="c1"># "NVIDIA RTX 20",  # For Turing architecture (RTX 20 series)</span>
+                    <span class="p">]</span>
+                <span class="p">):</span>
+                    <span class="bp">self</span><span class="o">.</span><span class="n">_use_flash_attention_2</span> <span class="o">=</span> <span class="kc">True</span>
+                <span class="k">else</span><span class="p">:</span>
+                    <span class="bp">self</span><span class="o">.</span><span class="n">_use_better_transformers</span> <span class="o">=</span> <span class="kc">True</span>
+            <span class="k">else</span><span class="p">:</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">_use_better_transformers</span> <span class="o">=</span> <span class="kc">True</span>
+
+        <span class="c1"># Build the optimizations kwargs:</span>
+        <span class="n">model_kwargs</span> <span class="o">=</span> <span class="p">{</span>
+            <span class="s2">"low_cpu_mem_usage"</span><span class="p">:</span> <span class="kc">True</span><span class="p">,</span>
+            <span class="s2">"use_safetensors"</span><span class="p">:</span> <span class="kc">True</span><span class="p">,</span>
+        <span class="p">}</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_use_flash_attention_2</span><span class="p">:</span>
+            <span class="k">if</span> <span class="n">_LOGGER</span><span class="p">:</span>
+                <span class="n">_LOGGER</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                    <span class="s2">"Using FlashAttention2 optimization - make sure the `flash-attn` package is installed via "</span>
+                    <span class="s2">"`pip install -U flash-attn --no-build-isolation`"</span>
+                <span class="p">)</span>
+            <span class="n">model_kwargs</span><span class="p">[</span><span class="s2">"attn_implementation"</span><span class="p">]</span> <span class="o">=</span> <span class="s2">"flash_attention_2"</span>
+        <span class="k">elif</span> <span class="bp">self</span><span class="o">.</span><span class="n">_use_better_transformers</span><span class="p">:</span>
+            <span class="k">if</span> <span class="n">_LOGGER</span><span class="p">:</span>
+                <span class="n">_LOGGER</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                    <span class="s2">"Using BetterTransformers optimization - make sure the `optimum` package is installed via "</span>
+                    <span class="s2">"`pip install -U optimum`"</span>
+                <span class="p">)</span>
+            <span class="n">model_kwargs</span><span class="p">[</span><span class="s2">"attn_implementation"</span><span class="p">]</span> <span class="o">=</span> <span class="s2">"sdpa"</span>
+
+        <span class="c1"># Initialize the speech recognition pipeline:</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_transcription_pipeline</span> <span class="o">=</span> <span class="n">pipeline</span><span class="p">(</span>
+            <span class="n">task</span><span class="o">=</span><span class="s2">"automatic-speech-recognition"</span><span class="p">,</span>
+            <span class="n">model</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_model_name</span><span class="p">,</span>
+            <span class="n">model_kwargs</span><span class="o">=</span><span class="n">model_kwargs</span><span class="o">.</span><span class="n">copy</span><span class="p">(),</span>
+            <span class="n">batch_size</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_batch_size</span><span class="p">,</span>
+            <span class="n">max_new_tokens</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_max_new_tokens</span><span class="p">,</span>
+            <span class="n">chunk_length_s</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_chunk_length_s</span><span class="p">,</span>
+            <span class="n">return_timestamps</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_return_timestamps</span><span class="p">,</span>
+            <span class="n">torch_dtype</span><span class="o">=</span><span class="n">torch_dtype</span><span class="p">,</span>
+            <span class="n">device</span><span class="o">=</span><span class="n">device</span><span class="p">,</span>
+        <span class="p">)</span>
+
+        <span class="c1"># Prepare the generation kwargs:</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_generate_kwargs</span> <span class="o">=</span> <span class="p">{</span>
+            <span class="s2">"language"</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">_spoken_language</span><span class="p">,</span>
+            <span class="s2">"task"</span><span class="p">:</span> <span class="s2">"translate"</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_translate_to_english</span> <span class="k">else</span> <span class="s2">"transcribe"</span><span class="p">,</span>
+        <span class="p">}</span>
+
+        <span class="c1"># Initialize the assistant model (if needed):</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_assistant_model</span><span class="p">:</span>
+            <span class="n">assistant_model</span> <span class="o">=</span> <span class="n">AutoModelForCausalLM</span><span class="o">.</span><span class="n">from_pretrained</span><span class="p">(</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">_assistant_model</span><span class="p">,</span> <span class="n">torch_dtype</span><span class="o">=</span><span class="n">torch_dtype</span><span class="p">,</span> <span class="o">**</span><span class="n">model_kwargs</span>
+            <span class="p">)</span>
+            <span class="n">assistant_model</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_generate_kwargs</span><span class="p">[</span><span class="s2">"assistant_model"</span><span class="p">]</span> <span class="o">=</span> <span class="n">assistant_model</span></div>
+
+<div class="viewcode-block" id="Transcriber.transcribe"><a class="viewcode-back" href="documentation.html#transcribe.transcribe.Transcriber.transcribe">[docs]</a>    <span class="k">def</span> <span class="nf">transcribe</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">audio_files</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Path</span><span class="p">],</span>
+        <span class="n">batch_processor</span><span class="p">:</span> <span class="n">BatchProcessor</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+        <span class="n">batches_queue</span><span class="p">:</span> <span class="n">Queue</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+        <span class="n">verbose</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
+    <span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Union</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="nb">dict</span><span class="p">]],</span> <span class="kc">None</span><span class="p">]:</span>
+<span class="w">        </span><span class="sd">"""</span>
+<span class="sd">        Transcribe the given audio files. The transcriptions will be sent to a queue or a batch processor for further</span>
+<span class="sd">        processing like writing to text files. If no queue or batch processor is given, the transcriptions outputs from</span>
+<span class="sd">        the pipeline will be returned. Otherwise, `None` is returned.</span>
+
+<span class="sd">        :param audio_files:     The audio files to transcribe.</span>
+<span class="sd">        :param batch_processor: A batch processor.</span>
+<span class="sd">        :param batches_queue:   A multiprocessing queue to put the batches in.</span>
+<span class="sd">        :param verbose:         Whether to show a progress bar. Default is False.</span>
+
+<span class="sd">        :returns: The transcriptions outputs from the pipeline if no queue or batch processor is given, otherwise,</span>
+<span class="sd">                  `None`.</span>
+<span class="sd">        """</span>
+        <span class="c1"># Wrap the audio files with a function to iterate over them via a generator (save memory and runtime with</span>
+        <span class="c1"># Huggingface's pipelines as they preload each input while inference is running):</span>
+        <span class="k">def</span> <span class="nf">audio_iterator</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Generator</span><span class="p">[</span><span class="n">Union</span><span class="p">[</span><span class="nb">dict</span><span class="p">,</span> <span class="nb">str</span><span class="p">],</span> <span class="kc">None</span><span class="p">,</span> <span class="kc">None</span><span class="p">]:</span>
+            <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_per_channel_transcription</span><span class="p">:</span>
+                <span class="k">for</span> <span class="n">audio_file</span> <span class="ow">in</span> <span class="n">audio_files</span><span class="p">:</span>
+                    <span class="n">audio</span><span class="p">,</span> <span class="n">sampling_rate</span> <span class="o">=</span> <span class="n">torchaudio</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="nb">str</span><span class="p">(</span><span class="n">audio_file</span><span class="p">))</span>
+                    <span class="n">audio</span> <span class="o">=</span> <span class="n">audio</span><span class="o">.</span><span class="n">numpy</span><span class="p">()</span>
+                    <span class="k">for</span> <span class="n">channel</span> <span class="ow">in</span> <span class="n">audio</span><span class="p">:</span>
+                        <span class="k">yield</span> <span class="p">{</span><span class="s2">"raw"</span><span class="p">:</span> <span class="n">channel</span><span class="p">,</span> <span class="s2">"sampling_rate"</span><span class="p">:</span> <span class="n">sampling_rate</span><span class="p">}</span>
+            <span class="k">else</span><span class="p">:</span>
+                <span class="k">for</span> <span class="n">audio_file</span> <span class="ow">in</span> <span class="n">audio_files</span><span class="p">:</span>
+                    <span class="k">yield</span> <span class="nb">str</span><span class="p">(</span><span class="n">audio_file</span><span class="p">)</span>
+
+        <span class="c1"># Create a batch iterator:</span>
+        <span class="k">def</span> <span class="nf">batch_iterator</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Generator</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="n">Union</span><span class="p">[</span><span class="nb">dict</span><span class="p">,</span> <span class="nb">str</span><span class="p">]],</span> <span class="kc">None</span><span class="p">,</span> <span class="kc">None</span><span class="p">]:</span>
+            <span class="n">batch</span> <span class="o">=</span> <span class="p">[]</span>
+            <span class="k">for</span> <span class="n">audio</span> <span class="ow">in</span> <span class="n">audio_iterator</span><span class="p">():</span>
+                <span class="n">batch</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">audio</span><span class="p">)</span>
+                <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">batch</span><span class="p">)</span> <span class="o">==</span> <span class="bp">self</span><span class="o">.</span><span class="n">_batch_size</span><span class="p">:</span>
+                    <span class="k">yield</span> <span class="n">batch</span>
+                    <span class="n">batch</span> <span class="o">=</span> <span class="p">[]</span>
+            <span class="k">if</span> <span class="n">batch</span><span class="p">:</span>
+                <span class="k">yield</span> <span class="n">batch</span>
+
+        <span class="c1"># Prepare the successes dataframe and errors dictionary to be returned:</span>
+        <span class="n">outputs</span> <span class="o">=</span> <span class="p">[]</span>
+
+        <span class="c1"># Infer through the pipeline:</span>
+        <span class="k">for</span> <span class="n">input_batch</span> <span class="ow">in</span> <span class="n">tqdm</span><span class="p">(</span>
+            <span class="n">batch_iterator</span><span class="p">()</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_batch_size</span> <span class="o">&gt;</span> <span class="mi">1</span> <span class="k">else</span> <span class="n">audio_iterator</span><span class="p">(),</span>
+            <span class="n">desc</span><span class="o">=</span><span class="s2">"Transcribing"</span><span class="p">,</span>
+            <span class="n">unit</span><span class="o">=</span><span class="s2">"channel"</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_per_channel_transcription</span> <span class="k">else</span> <span class="s2">"audio file"</span><span class="p">,</span>
+            <span class="n">total</span><span class="o">=</span><span class="p">(</span>
+                <span class="p">(</span>
+                    <span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">audio_files</span><span class="p">)</span> <span class="o">//</span> <span class="bp">self</span><span class="o">.</span><span class="n">_batch_size</span><span class="p">)</span>
+                    <span class="o">+</span> <span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">audio_files</span><span class="p">)</span> <span class="o">%</span> <span class="bp">self</span><span class="o">.</span><span class="n">_batch_size</span> <span class="o">!=</span> <span class="mi">0</span><span class="p">)</span>
+                <span class="p">)</span>
+                <span class="o">*</span> <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_per_channel_transcription</span> <span class="ow">or</span> <span class="mi">1</span><span class="p">)</span>
+            <span class="p">),</span>
+            <span class="n">disable</span><span class="o">=</span><span class="ow">not</span> <span class="n">verbose</span><span class="p">,</span>
+        <span class="p">):</span>
+            <span class="c1"># Infer:</span>
+            <span class="k">try</span><span class="p">:</span>
+                <span class="n">output_batch</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_transcription_pipeline</span><span class="p">(</span>
+                    <span class="n">input_batch</span><span class="p">,</span>
+                    <span class="n">generate_kwargs</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_generate_kwargs</span><span class="p">,</span>
+                <span class="p">)</span>
+            <span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">exception</span><span class="p">:</span>
+                <span class="c1"># Collect the exception:</span>
+                <span class="n">output_batch</span> <span class="o">=</span> <span class="nb">str</span><span class="p">(</span><span class="n">exception</span><span class="p">)</span>
+                <span class="c1"># Align to batch size:</span>
+                <span class="n">output_batch</span> <span class="o">=</span> <span class="p">(</span>
+                    <span class="p">[</span><span class="n">output_batch</span><span class="p">]</span> <span class="o">*</span> <span class="nb">len</span><span class="p">(</span><span class="n">input_batch</span><span class="p">)</span>
+                    <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">input_batch</span><span class="p">,</span> <span class="nb">list</span><span class="p">)</span>
+                    <span class="k">else</span> <span class="p">[</span><span class="n">output_batch</span><span class="p">]</span>
+                <span class="p">)</span>
+            <span class="c1"># To align with batching, if batch size is 1, wrap the output with a list:</span>
+            <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">output_batch</span><span class="p">,</span> <span class="nb">dict</span><span class="p">):</span>
+                <span class="n">output_batch</span> <span class="o">=</span> <span class="p">[</span><span class="n">output_batch</span><span class="p">]</span>
+            <span class="c1"># If a batch processor is given, process the batch:</span>
+            <span class="k">if</span> <span class="n">batch_processor</span><span class="p">:</span>
+                <span class="c1"># Process it directly:</span>
+                <span class="n">batch_processor</span><span class="o">.</span><span class="n">process_batch</span><span class="p">(</span><span class="n">batch</span><span class="o">=</span><span class="n">output_batch</span><span class="p">)</span>
+                <span class="n">batch_processor</span><span class="o">.</span><span class="n">do_tasks</span><span class="p">()</span>
+            <span class="k">elif</span> <span class="n">batches_queue</span><span class="p">:</span>
+                <span class="c1"># Otherwise, queue the batch:</span>
+                <span class="n">batches_queue</span><span class="o">.</span><span class="n">put</span><span class="p">(</span><span class="n">output_batch</span><span class="p">)</span>
+            <span class="k">else</span><span class="p">:</span>
+                <span class="c1"># Otherwise, collect the output as is without processing:</span>
+                <span class="n">outputs</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">output_batch</span><span class="p">)</span>
+
+        <span class="c1"># Check if given a multiprocessing queue or a batch processor:</span>
+        <span class="k">if</span> <span class="n">batches_queue</span><span class="p">:</span>
+            <span class="n">batches_queue</span><span class="o">.</span><span class="n">put</span><span class="p">(</span><span class="n">_MULTIPROCESSING_STOP_MARK</span><span class="p">)</span>
+
+        <span class="k">return</span> <span class="n">outputs</span> <span class="k">if</span> <span class="ow">not</span> <span class="n">batch_processor</span> <span class="k">else</span> <span class="kc">None</span></div></div>
+
+
+<span class="c1">#: The value to send into multiprocessing queues to stop the process:</span>
+<span class="n">_MULTIPROCESSING_STOP_MARK</span> <span class="o">=</span> <span class="s2">"STOP"</span>
+
+
+<span class="k">def</span> <span class="nf">_multiprocessing_process_batches</span><span class="p">(</span>
+    <span class="n">batch_processor</span><span class="p">:</span> <span class="n">BatchProcessor</span><span class="p">,</span>
+    <span class="n">batches_queue</span><span class="p">:</span> <span class="n">Queue</span><span class="p">,</span>
+    <span class="n">tasks_queue</span><span class="p">:</span> <span class="n">Queue</span><span class="p">,</span>
+    <span class="n">n_task_completers</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+<span class="p">):</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    Process the batches in the given batches queue and put the tasks in the given tasks queue. The function will stop</span>
+<span class="sd">    when the given batches queue will receive the stop mark. It is aimed to be used with multiprocessing as a process.</span>
+
+<span class="sd">    :param batch_processor:   A batch processor to process the batches.</span>
+<span class="sd">    :param batches_queue:     A queue to get the batches from.</span>
+<span class="sd">    :param tasks_queue:       A queue to put the tasks in.</span>
+<span class="sd">    :param n_task_completers: The number of task completers (processes that run the `_multiprocessing_complete_tasks`</span>
+<span class="sd">                              function). A stop mark will be sent to the tasks queue for each task completer.</span>
+<span class="sd">    """</span>
+    <span class="k">while</span> <span class="kc">True</span><span class="p">:</span>
+        <span class="c1"># Get the batch:</span>
+        <span class="n">batch</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">dict</span><span class="p">]</span> <span class="o">=</span> <span class="n">batches_queue</span><span class="o">.</span><span class="n">get</span><span class="p">()</span>
+        <span class="k">if</span> <span class="n">batch</span> <span class="o">==</span> <span class="n">_MULTIPROCESSING_STOP_MARK</span><span class="p">:</span>
+            <span class="k">break</span>
+
+        <span class="c1"># Process the batch:</span>
+        <span class="n">batch_processor</span><span class="o">.</span><span class="n">process_batch</span><span class="p">(</span><span class="n">batch</span><span class="o">=</span><span class="n">batch</span><span class="p">)</span>
+
+        <span class="c1"># Get the tasks:</span>
+        <span class="n">tasks</span> <span class="o">=</span> <span class="n">batch_processor</span><span class="o">.</span><span class="n">get_tasks</span><span class="p">()</span>
+
+        <span class="c1"># Queue the tasks:</span>
+        <span class="k">for</span> <span class="n">task</span> <span class="ow">in</span> <span class="n">tasks</span><span class="p">:</span>
+            <span class="n">tasks_queue</span><span class="o">.</span><span class="n">put</span><span class="p">(</span><span class="n">task</span><span class="o">.</span><span class="n">to_tuple</span><span class="p">())</span>
+
+    <span class="c1"># Mark the end of the batches:</span>
+    <span class="k">for</span> <span class="n">_</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">n_task_completers</span><span class="p">):</span>
+        <span class="n">tasks_queue</span><span class="o">.</span><span class="n">put</span><span class="p">(</span><span class="n">_MULTIPROCESSING_STOP_MARK</span><span class="p">)</span>
+
+
+<span class="k">def</span> <span class="nf">_multiprocessing_complete_tasks</span><span class="p">(</span><span class="n">tasks_queue</span><span class="p">:</span> <span class="n">Queue</span><span class="p">,</span> <span class="n">results_queue</span><span class="p">:</span> <span class="n">Queue</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    Complete the tasks in the given queue and put the results in the given results queue. The function will stop when</span>
+<span class="sd">    the given tasks queue will receive the stop mark. It is aimed to be used with multiprocessing as a process.</span>
+
+<span class="sd">    :param tasks_queue:   A queue to get the tasks from.</span>
+<span class="sd">    :param results_queue: A queue to put the results in.</span>
+<span class="sd">    """</span>
+    <span class="n">tasks_map</span> <span class="o">=</span> <span class="p">{</span>
+        <span class="n">BaseTask</span><span class="o">.</span><span class="vm">__name__</span><span class="p">:</span> <span class="n">BaseTask</span><span class="p">,</span>
+        <span class="n">SpeechDiarizationTask</span><span class="o">.</span><span class="vm">__name__</span><span class="p">:</span> <span class="n">SpeechDiarizationTask</span><span class="p">,</span>
+        <span class="n">SpeechDiarizationPerChannelTask</span><span class="o">.</span><span class="vm">__name__</span><span class="p">:</span> <span class="n">SpeechDiarizationPerChannelTask</span><span class="p">,</span>
+    <span class="p">}</span>
+
+    <span class="k">while</span> <span class="kc">True</span><span class="p">:</span>
+        <span class="c1"># Get the task:</span>
+        <span class="n">task</span> <span class="o">=</span> <span class="n">tasks_queue</span><span class="o">.</span><span class="n">get</span><span class="p">()</span>
+        <span class="k">if</span> <span class="n">task</span> <span class="o">==</span> <span class="n">_MULTIPROCESSING_STOP_MARK</span><span class="p">:</span>
+            <span class="k">break</span>
+
+        <span class="c1"># Reconstruct the task:</span>
+        <span class="n">task_class</span><span class="p">,</span> <span class="n">task_kwargs</span> <span class="o">=</span> <span class="n">task</span>
+        <span class="n">task</span> <span class="o">=</span> <span class="n">tasks_map</span><span class="p">[</span><span class="n">task_class</span><span class="p">](</span><span class="o">**</span><span class="n">task_kwargs</span><span class="p">)</span>
+
+        <span class="c1"># Complete the task:</span>
+        <span class="n">task</span><span class="o">.</span><span class="n">do_task</span><span class="p">()</span>
+        <span class="n">results_queue</span><span class="o">.</span><span class="n">put</span><span class="p">((</span><span class="n">task</span><span class="o">.</span><span class="n">is_failed</span><span class="p">(),</span> <span class="n">task</span><span class="o">.</span><span class="n">get_result</span><span class="p">()))</span>
+
+    <span class="c1"># Mark the end of the tasks:</span>
+    <span class="n">results_queue</span><span class="o">.</span><span class="n">put</span><span class="p">(</span><span class="n">_MULTIPROCESSING_STOP_MARK</span><span class="p">)</span>
+
+
+<span class="c1"># Get the global logger:</span>
+<span class="n">_LOGGER</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">()</span>
+
+
+<div class="viewcode-block" id="open_mpi_handler"><a class="viewcode-back" href="documentation.html#transcribe.transcribe.open_mpi_handler">[docs]</a><span class="k">def</span> <span class="nf">open_mpi_handler</span><span class="p">(</span>
+    <span class="n">worker_inputs</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">],</span> <span class="n">root_worker_inputs</span><span class="p">:</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">Any</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span>
+<span class="p">):</span>
+    <span class="k">global</span> <span class="n">_LOGGER</span>
+
+    <span class="c1"># Check for MLRun and OpenMPI availability:</span>
+    <span class="n">context</span><span class="p">,</span> <span class="n">comm</span> <span class="o">=</span> <span class="n">_check_mlrun_and_open_mpi</span><span class="p">()</span>
+
+    <span class="c1"># Check if MLRun is available, set the global logger to MLRun's:</span>
+    <span class="k">if</span> <span class="n">context</span><span class="p">:</span>
+        <span class="n">_LOGGER</span> <span class="o">=</span> <span class="n">context</span><span class="o">.</span><span class="n">logger</span>
+
+    <span class="k">def</span> <span class="nf">decorator</span><span class="p">(</span><span class="n">handler</span><span class="p">):</span>
+        <span class="k">if</span> <span class="n">comm</span> <span class="ow">is</span> <span class="kc">None</span> <span class="ow">or</span> <span class="n">comm</span><span class="o">.</span><span class="n">Get_size</span><span class="p">()</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
+            <span class="k">return</span> <span class="n">handler</span>
+
+        <span class="nd">@wraps</span><span class="p">(</span><span class="n">handler</span><span class="p">)</span>
+        <span class="k">def</span> <span class="nf">wrapper</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+            <span class="c1"># Get the open mpi environment properties:</span>
+            <span class="n">size</span> <span class="o">=</span> <span class="n">comm</span><span class="o">.</span><span class="n">Get_size</span><span class="p">()</span>
+            <span class="n">rank</span> <span class="o">=</span> <span class="n">comm</span><span class="o">.</span><span class="n">Get_rank</span><span class="p">()</span>
+
+            <span class="c1"># Give the correct chunk of the workers inputs:</span>
+            <span class="k">for</span> <span class="n">worker_input</span> <span class="ow">in</span> <span class="n">worker_inputs</span><span class="p">:</span>
+                <span class="n">input_argument</span> <span class="o">=</span> <span class="n">kwargs</span><span class="p">[</span><span class="n">worker_input</span><span class="p">]</span>
+                <span class="k">if</span> <span class="n">input_argument</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+                    <span class="k">continue</span>
+                <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">input_argument</span><span class="p">,</span> <span class="nb">str</span><span class="p">):</span>
+                    <span class="n">input_argument</span> <span class="o">=</span> <span class="n">_get_audio_files</span><span class="p">(</span>
+                        <span class="n">data_path</span><span class="o">=</span><span class="n">Path</span><span class="p">(</span><span class="n">input_argument</span><span class="p">)</span><span class="o">.</span><span class="n">absolute</span><span class="p">()</span>
+                    <span class="p">)</span>
+                <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">input_argument</span><span class="p">)</span> <span class="o">&lt;</span> <span class="n">size</span><span class="p">:</span>
+                    <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span>
+                        <span class="sa">f</span><span class="s2">"Cannot split the input '</span><span class="si">{</span><span class="n">worker_input</span><span class="si">}</span><span class="s2">' of length </span><span class="si">{</span><span class="nb">len</span><span class="p">(</span><span class="n">input_argument</span><span class="p">)</span><span class="si">}</span><span class="s2"> to </span><span class="si">{</span><span class="n">size</span><span class="si">}</span><span class="s2"> workers. "</span>
+                        <span class="sa">f</span><span class="s2">"Please reduce the amount of workers for this input."</span>
+                    <span class="p">)</span>
+                <span class="n">even_chunk_size</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">input_argument</span><span class="p">)</span> <span class="o">//</span> <span class="n">size</span>
+                <span class="n">chunk_start</span> <span class="o">=</span> <span class="n">rank</span> <span class="o">*</span> <span class="n">even_chunk_size</span>
+                <span class="n">chunk_end</span> <span class="o">=</span> <span class="p">(</span>
+                    <span class="p">(</span><span class="n">rank</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span> <span class="o">*</span> <span class="n">even_chunk_size</span>
+                    <span class="k">if</span> <span class="n">rank</span> <span class="o">+</span> <span class="mi">1</span> <span class="o">&lt;</span> <span class="n">size</span>
+                    <span class="k">else</span> <span class="nb">len</span><span class="p">(</span><span class="n">input_argument</span><span class="p">)</span>
+                <span class="p">)</span>
+                <span class="n">context</span><span class="o">.</span><span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                    <span class="sa">f</span><span class="s2">"Rank #</span><span class="si">{</span><span class="n">rank</span><span class="si">}</span><span class="s2">: Processing input chunk of '</span><span class="si">{</span><span class="n">worker_input</span><span class="si">}</span><span class="s2">' "</span>
+                    <span class="sa">f</span><span class="s2">"from index </span><span class="si">{</span><span class="n">chunk_start</span><span class="si">}</span><span class="s2"> to </span><span class="si">{</span><span class="n">chunk_end</span><span class="si">}</span><span class="s2">."</span>
+                <span class="p">)</span>
+                <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">input_argument</span><span class="p">,</span> <span class="nb">list</span><span class="p">):</span>
+                    <span class="n">input_argument</span> <span class="o">=</span> <span class="n">input_argument</span><span class="p">[</span><span class="n">chunk_start</span><span class="p">:</span><span class="n">chunk_end</span><span class="p">]</span>
+                <span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">input_argument</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">):</span>
+                    <span class="n">input_argument</span> <span class="o">=</span> <span class="n">input_argument</span><span class="o">.</span><span class="n">iloc</span><span class="p">[</span><span class="n">chunk_start</span><span class="p">:</span><span class="n">chunk_end</span><span class="p">:,</span> <span class="p">:]</span>
+                <span class="n">kwargs</span><span class="p">[</span><span class="n">worker_input</span><span class="p">]</span> <span class="o">=</span> <span class="n">input_argument</span>
+
+            <span class="c1"># Set the root worker only arguments:</span>
+            <span class="k">if</span> <span class="n">rank</span> <span class="o">==</span> <span class="mi">0</span> <span class="ow">and</span> <span class="n">root_worker_inputs</span><span class="p">:</span>
+                <span class="n">kwargs</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">root_worker_inputs</span><span class="p">)</span>
+
+            <span class="c1"># Run the worker:</span>
+            <span class="n">output</span> <span class="o">=</span> <span class="n">handler</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+
+            <span class="c1"># Save the output directory of this worker:</span>
+            <span class="n">output_directory</span> <span class="o">=</span> <span class="n">Path</span><span class="p">(</span><span class="n">output</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
+
+            <span class="c1"># Send the output to the root rank (rank #0):</span>
+            <span class="n">output</span> <span class="o">=</span> <span class="n">comm</span><span class="o">.</span><span class="n">gather</span><span class="p">(</span><span class="n">output</span><span class="p">,</span> <span class="n">root</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+
+            <span class="c1"># Join the data from all workers:</span>
+            <span class="k">if</span> <span class="n">rank</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
+                <span class="n">context</span><span class="o">.</span><span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s2">"Collecting data from workers to root worker."</span><span class="p">)</span>
+
+                <span class="c1"># Check if there are different output directories:</span>
+                <span class="n">output_directories</span> <span class="o">=</span> <span class="nb">set</span><span class="p">([</span><span class="n">Path</span><span class="p">(</span><span class="n">out_dir</span><span class="p">)</span> <span class="k">for</span> <span class="n">out_dir</span><span class="p">,</span> <span class="n">_</span><span class="p">,</span> <span class="n">_</span> <span class="ow">in</span> <span class="n">output</span><span class="p">])</span>
+                <span class="k">for</span> <span class="n">r</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="n">size</span><span class="p">):</span>
+                    <span class="c1"># True means the other workers should pass their files to the root worker (rank 0):</span>
+                    <span class="n">comm</span><span class="o">.</span><span class="n">send</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">output_directories</span><span class="p">)</span> <span class="o">!=</span> <span class="mi">1</span><span class="p">,</span> <span class="n">dest</span><span class="o">=</span><span class="n">r</span><span class="p">)</span>
+
+                <span class="c1"># If there are different output directories, listen to the other workers:</span>
+                <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">output_directories</span><span class="p">)</span> <span class="o">!=</span> <span class="mi">1</span><span class="p">:</span>
+                    <span class="c1"># Collect the files from the other workers:</span>
+                    <span class="n">files</span> <span class="o">=</span> <span class="p">[]</span>
+                    <span class="k">for</span> <span class="n">r</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="n">size</span><span class="p">):</span>
+                        <span class="n">files</span><span class="o">.</span><span class="n">extend</span><span class="p">(</span><span class="n">comm</span><span class="o">.</span><span class="n">recv</span><span class="p">(</span><span class="n">source</span><span class="o">=</span><span class="n">r</span><span class="p">))</span>
+                    <span class="c1"># Write the files to the root worker's output directory:</span>
+                    <span class="k">for</span> <span class="n">file_name</span><span class="p">,</span> <span class="n">file_content</span> <span class="ow">in</span> <span class="n">files</span><span class="p">:</span>
+                        <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">output_directory</span> <span class="o">/</span> <span class="n">file_name</span><span class="p">,</span> <span class="s2">"w"</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+                            <span class="n">f</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="n">file_content</span><span class="p">)</span>
+
+                <span class="c1"># Concatenate the dataframes:</span>
+                <span class="n">dataframe</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">concat</span><span class="p">(</span><span class="n">objs</span><span class="o">=</span><span class="p">[</span><span class="n">df</span> <span class="k">for</span> <span class="n">_</span><span class="p">,</span> <span class="n">df</span><span class="p">,</span> <span class="n">_</span> <span class="ow">in</span> <span class="n">output</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+
+                <span class="c1"># Concatenate the errors dictionaries:</span>
+                <span class="n">errors_dictionary</span> <span class="o">=</span> <span class="n">reduce</span><span class="p">(</span>
+                    <span class="n">operator</span><span class="o">.</span><span class="n">ior</span><span class="p">,</span> <span class="p">[</span><span class="n">err</span> <span class="k">for</span> <span class="n">_</span><span class="p">,</span> <span class="n">_</span><span class="p">,</span> <span class="n">err</span> <span class="ow">in</span> <span class="n">output</span><span class="p">],</span> <span class="p">{}</span>
+                <span class="p">)</span>
+
+                <span class="k">return</span> <span class="nb">str</span><span class="p">(</span><span class="n">output_directory</span><span class="p">),</span> <span class="n">dataframe</span><span class="p">,</span> <span class="n">errors_dictionary</span>
+
+            <span class="c1"># Listen to rank 0 to see if there are different output directories and this rank need to send its files to</span>
+            <span class="c1"># it:</span>
+            <span class="k">if</span> <span class="n">comm</span><span class="o">.</span><span class="n">recv</span><span class="p">(</span><span class="n">source</span><span class="o">=</span><span class="mi">0</span><span class="p">):</span>
+                <span class="n">files</span> <span class="o">=</span> <span class="p">[]</span>
+                <span class="k">for</span> <span class="n">file</span> <span class="ow">in</span> <span class="n">os</span><span class="o">.</span><span class="n">listdir</span><span class="p">(</span><span class="n">output_directory</span><span class="p">):</span>
+                    <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">output_directory</span> <span class="o">/</span> <span class="n">file</span><span class="p">,</span> <span class="s2">"r"</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+                        <span class="n">files</span><span class="o">.</span><span class="n">append</span><span class="p">((</span><span class="n">file</span><span class="p">,</span> <span class="n">f</span><span class="o">.</span><span class="n">read</span><span class="p">()))</span>
+                <span class="n">comm</span><span class="o">.</span><span class="n">send</span><span class="p">(</span><span class="n">files</span><span class="p">,</span> <span class="n">dest</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+            <span class="k">return</span> <span class="kc">None</span>
+
+        <span class="k">return</span> <span class="n">wrapper</span>
+
+    <span class="k">return</span> <span class="n">decorator</span></div>
+
+
+<span class="k">def</span> <span class="nf">_check_mlrun_and_open_mpi</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="s2">"mlrun.MLClientCtx"</span><span class="p">,</span> <span class="s2">"mpi4py.MPI.Intracomm"</span><span class="p">]:</span>
+    <span class="n">is_mpi</span> <span class="o">=</span> <span class="kc">False</span>
+    <span class="k">try</span><span class="p">:</span>
+        <span class="kn">import</span> <span class="nn">mlrun</span>
+
+        <span class="n">context</span> <span class="o">=</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">get_or_create_ctx</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s2">"mlrun"</span><span class="p">)</span>
+        <span class="n">is_mpi</span> <span class="o">=</span> <span class="n">context</span><span class="o">.</span><span class="n">labels</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"kind"</span><span class="p">,</span> <span class="s2">"job"</span><span class="p">)</span> <span class="o">==</span> <span class="s2">"mpijob"</span>
+
+        <span class="k">if</span> <span class="n">is_mpi</span><span class="p">:</span>
+            <span class="k">try</span><span class="p">:</span>
+                <span class="kn">from</span> <span class="nn">mpi4py</span> <span class="kn">import</span> <span class="n">MPI</span>
+
+                <span class="k">return</span> <span class="n">context</span><span class="p">,</span> <span class="n">MPI</span><span class="o">.</span><span class="n">COMM_WORLD</span>
+            <span class="k">except</span> <span class="ne">ModuleNotFoundError</span> <span class="k">as</span> <span class="n">mpi4py_not_found</span><span class="p">:</span>
+                <span class="n">context</span><span class="o">.</span><span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span>
+                    <span class="s2">"To distribute the function using MLRun's 'mpijob' you need to have `mpi4py` package in your "</span>
+                    <span class="s2">"interpreter. Please run `pip install mpi4py` and make sure you have open-mpi."</span>
+                <span class="p">)</span>
+                <span class="k">raise</span> <span class="n">mpi4py_not_found</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="k">return</span> <span class="n">context</span><span class="p">,</span> <span class="kc">None</span>
+    <span class="k">except</span> <span class="ne">ModuleNotFoundError</span> <span class="k">as</span> <span class="n">module_not_found</span><span class="p">:</span>
+        <span class="k">if</span> <span class="n">is_mpi</span><span class="p">:</span>
+            <span class="k">raise</span> <span class="n">module_not_found</span>
+    <span class="k">return</span> <span class="kc">None</span><span class="p">,</span> <span class="kc">None</span>
+
+
+<div class="viewcode-block" id="transcribe"><a class="viewcode-back" href="documentation.html#transcribe.transcribe.transcribe">[docs]</a><span class="nd">@open_mpi_handler</span><span class="p">(</span><span class="n">worker_inputs</span><span class="o">=</span><span class="p">[</span><span class="s2">"data_path"</span><span class="p">],</span> <span class="n">root_worker_inputs</span><span class="o">=</span><span class="p">{</span><span class="s2">"verbose"</span><span class="p">:</span> <span class="kc">True</span><span class="p">})</span>
+<span class="k">def</span> <span class="nf">transcribe</span><span class="p">(</span>
+    <span class="c1"># Input / Output kwargs:</span>
+    <span class="n">data_path</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">Path</span><span class="p">,</span> <span class="n">List</span><span class="p">[</span><span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">Path</span><span class="p">]]],</span>
+    <span class="n">output_directory</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="c1"># Model loading kwargs:</span>
+    <span class="n">model_name</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">"openai/whisper-tiny"</span><span class="p">,</span>
+    <span class="n">device</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">use_flash_attention_2</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">use_better_transformers</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="c1"># Generation kwargs:</span>
+    <span class="n">assistant_model</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">max_new_tokens</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">128</span><span class="p">,</span>
+    <span class="n">chunk_length_s</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">30</span><span class="p">,</span>
+    <span class="n">batch_size</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">8</span><span class="p">,</span>
+    <span class="n">spoken_language</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">translate_to_english</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
+    <span class="c1"># Diarization kwargs:</span>
+    <span class="n">speech_diarization</span><span class="p">:</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">List</span><span class="p">[</span><span class="n">Tuple</span><span class="p">[</span><span class="nb">float</span><span class="p">,</span> <span class="nb">float</span><span class="p">,</span> <span class="nb">str</span><span class="p">]]]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">speech_diarize_per_channel</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">speaker_labels</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="c1"># Other kwargs:</span>
+    <span class="n">use_multiprocessing</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">bool</span><span class="p">,</span> <span class="nb">int</span><span class="p">]</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
+    <span class="n">verbose</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
+<span class="p">):</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    Transcribe audio files into text files and collect additional data. The end result is a directory of transcribed</span>
+<span class="sd">    text files and a dataframe containing the following columns:</span>
+
+<span class="sd">    * audio_file - The audio file path.</span>
+<span class="sd">    * transcription_file - The transcribed text file name in the output directory.</span>
+
+<span class="sd">    The transcription is based on Huggingface's ASR pipeline -</span>
+<span class="sd">    https://huggingface.co/transformers/main_classes/pipelines.html#transformers.AutomaticSpeechRecognitionPipeline and</span>
+<span class="sd">    is tested with OpenAI's Whisper models - https://huggingface.co/openai.</span>
+
+<span class="sd">    If one of the speaker diarization parameters are given (either `speech_diarization` or</span>
+<span class="sd">    `speech_diarize_per_channel`), the transcription will be written in a conversation format, where each speaker will</span>
+<span class="sd">    be written in a separate line::</span>
+
+<span class="sd">        speaker_1: text</span>
+<span class="sd">        speaker_2: text</span>
+<span class="sd">        speaker_1: text</span>
+<span class="sd">        ...</span>
+
+<span class="sd">    :param data_path:                  A directory of audio files or a single file or a list of files to transcribe.</span>
+<span class="sd">    :param output_directory:           Path to a directory to save all transcribed audio files. If not given, will save</span>
+<span class="sd">                                       the transcribed files in a temporary directory.</span>
+<span class="sd">    :param model_name:                 The model name to use. Should be a model from the OpenAI's Whisper models for</span>
+<span class="sd">                                       best results (for example "tiny", "base", "large", etc.). See here for more</span>
+<span class="sd">                                       information: https://huggingface.co/openai?search_models=whisper.</span>
+<span class="sd">    :param device:                     The device to use for inference. If not given, will use GPU if available.</span>
+<span class="sd">    :param use_flash_attention_2:      Whether to use the Flash Attention 2 implementation. It can be used only with</span>
+<span class="sd">                                       one of the following GPUs: Nvidia H series and Nvidia A series. T4 support</span>
+<span class="sd">                                       will be available soon.</span>
+
+<span class="sd">                                       Note: If both `use_flash_attention_2` and</span>
+<span class="sd">                                       `use_better_transformers` are `None`, the optimization will be chosen</span>
+<span class="sd">                                       automatically according to the available resources.</span>
+
+<span class="sd">    :param use_better_transformers:    Whether to use the Better Transformers library to further optimize the model.</span>
+<span class="sd">                                       Should be used for all use cases that do not support flash attention 2.</span>
+
+<span class="sd">                                       Note: If both `use_flash_attention_2` and `use_better_transformers` are</span>
+<span class="sd">                                       `None`, the optimization will be chosen automatically according to the</span>
+<span class="sd">                                       available resources.</span>
+<span class="sd">    :param assistant_model:            The assistant model name to use for inference. Notice that the optimizations</span>
+<span class="sd">                                       (flash attention 2 and better transformers) will be applied for the assistant as</span>
+<span class="sd">                                       well. Should be a model from Huggingface's distil-whisper (see here for more</span>
+<span class="sd">                                       information: https://github.com/huggingface/distil-whisper).</span>
+
+<span class="sd">                                       Note: Currently an assistant model is only usable with batch size of 1.</span>
+<span class="sd">    :param max_new_tokens:             The maximum number of new tokens to generate. This is used to limit the</span>
+<span class="sd">                                       generation length. Default is 128 tokens.</span>
+<span class="sd">    :param chunk_length_s:             The audio chunk to split the audio to (in seconds). Default is 30 seconds.</span>
+<span class="sd">    :param batch_size:                 The batch size to use for inference. Default is 2.</span>
+<span class="sd">    :param spoken_language:            Aim whisper to know what language is spoken. If None, it will try to detect</span>
+<span class="sd">                                       it.</span>
+<span class="sd">    :param translate_to_english:       Whether to translate the transcriptions to English.</span>
+<span class="sd">    :param speech_diarization:         A speech diarization dictionary with the file names to transcribe as keys and</span>
+<span class="sd">                                       their diarization as value. The diarization is a list of tuples:</span>
+<span class="sd">                                       (start, end, speaker). An example</span>
+<span class="sd">                                       for a diarization dictionary::</span>
+
+<span class="sd">                                       {</span>
+<span class="sd">                                           "audio_file_name": [</span>
+<span class="sd">                                               {</span>
+<span class="sd">                                                   "start": 0.0,</span>
+<span class="sd">                                                   "end": 2.0,</span>
+<span class="sd">                                                   "speaker": "Agent",</span>
+<span class="sd">                                               },</span>
+<span class="sd">                                               {</span>
+<span class="sd">                                                   "start": 2.0,</span>
+<span class="sd">                                                   "end": 4.0,</span>
+<span class="sd">                                                   "speaker": "Client",</span>
+<span class="sd">                                               },</span>
+<span class="sd">                                               ...</span>
+<span class="sd">                                           ],</span>
+<span class="sd">                                           ...</span>
+<span class="sd">                                       }</span>
+
+<span class="sd">                                       Note: The diarization must be for the entire duration of the audio file (as long</span>
+<span class="sd">                                       as Whisper is predicting words up until then.</span>
+<span class="sd">    :param speech_diarize_per_channel: Perform speech diarization per channel. Each speaker is expected to belong to</span>
+<span class="sd">                                       a separate channel in the audio. Notice: This will make the transcription</span>
+<span class="sd">                                       slower as each channel wil be transcribed separatly. If a speech diarization</span>
+<span class="sd">                                       is passed (via the `speech_diarization` parameter), this parameter is</span>
+<span class="sd">                                       ignored.</span>
+<span class="sd">    :param speaker_labels:             A list of speaker labels by channel order to use for writing the</span>
+<span class="sd">                                       transcription with respect to per channel speech diarization. This won't be</span>
+<span class="sd">                                       used together with a given speech diarization (via the `speech_diarization`</span>
+<span class="sd">                                       parameter).</span>
+<span class="sd">    :param use_multiprocessing:        Whether to use multiprocessing to transcribe the audio files. Can be either a</span>
+<span class="sd">                                       boolean value or an integer. If `True`, will use the default amount of workers</span>
+<span class="sd">                                       (3): 1 for transcription, 1 for batch processing and 1 for task completion (such</span>
+<span class="sd">                                       as speech diarization and writing to files). To control the amount of tasks</span>
+<span class="sd">                                       completion workers, an integer can be provided to specify the amount of workers.</span>
+<span class="sd">                                       `False`, will use a single process. Default is `False`.</span>
+<span class="sd">    :param verbose:                    Whether to print the progress of the transcription. Default is `False`.</span>
+<span class="sd">    """</span>
+    <span class="k">global</span> <span class="n">_LOGGER</span>
+
+    <span class="c1"># Get the input audio files to transcribe:</span>
+    <span class="k">if</span> <span class="n">verbose</span><span class="p">:</span>
+        <span class="n">_LOGGER</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s2">"Collecting audio files."</span><span class="p">)</span>
+    <span class="n">audio_files</span> <span class="o">=</span> <span class="n">_get_audio_files</span><span class="p">(</span><span class="n">data_path</span><span class="o">=</span><span class="n">data_path</span><span class="p">)</span>
+    <span class="k">if</span> <span class="n">verbose</span><span class="p">:</span>
+        <span class="n">_LOGGER</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Collected </span><span class="si">{</span><span class="nb">len</span><span class="p">(</span><span class="n">audio_files</span><span class="p">)</span><span class="si">}</span><span class="s2"> audio files."</span><span class="p">)</span>
+
+    <span class="c1"># Get the output directory:</span>
+    <span class="k">if</span> <span class="n">output_directory</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+        <span class="k">if</span> <span class="n">verbose</span><span class="p">:</span>
+            <span class="n">_LOGGER</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s2">"No output directory given, using temporary directory."</span><span class="p">)</span>
+        <span class="n">output_directory</span> <span class="o">=</span> <span class="n">tempfile</span><span class="o">.</span><span class="n">mkdtemp</span><span class="p">()</span>
+    <span class="n">output_directory</span> <span class="o">=</span> <span class="n">Path</span><span class="p">(</span><span class="n">output_directory</span><span class="p">)</span><span class="o">.</span><span class="n">absolute</span><span class="p">()</span>
+    <span class="n">output_directory</span><span class="o">.</span><span class="n">mkdir</span><span class="p">(</span><span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">parents</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+    <span class="k">if</span> <span class="n">verbose</span><span class="p">:</span>
+        <span class="n">_LOGGER</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Transcriptions will be saved to: </span><span class="si">{</span><span class="n">output_directory</span><span class="si">}</span><span class="s2">"</span><span class="p">)</span>
+
+    <span class="c1"># Initialize a batch processor according to user requirements (no speech diarization, given speech diarization,</span>
+    <span class="c1"># speech diarization per channel):</span>
+    <span class="k">if</span> <span class="n">speech_diarization</span><span class="p">:</span>
+        <span class="n">batch_processor</span> <span class="o">=</span> <span class="n">SpeechDiarizationBatchProcessor</span><span class="p">(</span>
+            <span class="n">audio_files</span><span class="o">=</span><span class="n">audio_files</span><span class="p">,</span>
+            <span class="n">output_directory</span><span class="o">=</span><span class="n">output_directory</span><span class="p">,</span>
+            <span class="n">speech_diarization</span><span class="o">=</span><span class="n">speech_diarization</span><span class="p">,</span>
+        <span class="p">)</span>
+    <span class="k">elif</span> <span class="n">speech_diarize_per_channel</span><span class="p">:</span>
+        <span class="n">batch_processor</span> <span class="o">=</span> <span class="n">PerChannelSpeechDiarizationBatchProcessor</span><span class="p">(</span>
+            <span class="n">audio_files</span><span class="o">=</span><span class="n">audio_files</span><span class="p">,</span>
+            <span class="n">output_directory</span><span class="o">=</span><span class="n">output_directory</span><span class="p">,</span>
+            <span class="n">n_channels</span><span class="o">=</span><span class="n">speech_diarize_per_channel</span><span class="p">,</span>
+            <span class="n">speakers</span><span class="o">=</span><span class="n">speaker_labels</span><span class="p">,</span>
+        <span class="p">)</span>
+    <span class="k">else</span><span class="p">:</span>
+        <span class="n">batch_processor</span> <span class="o">=</span> <span class="n">BatchProcessor</span><span class="p">(</span>
+            <span class="n">audio_files</span><span class="o">=</span><span class="n">audio_files</span><span class="p">,</span>
+            <span class="n">output_directory</span><span class="o">=</span><span class="n">output_directory</span><span class="p">,</span>
+        <span class="p">)</span>
+
+    <span class="c1"># Initialize the transcription pipeline:</span>
+    <span class="n">transcriber</span> <span class="o">=</span> <span class="n">Transcriber</span><span class="p">(</span>
+        <span class="n">device</span><span class="o">=</span><span class="n">device</span><span class="p">,</span>
+        <span class="n">use_flash_attention_2</span><span class="o">=</span><span class="n">use_flash_attention_2</span><span class="p">,</span>
+        <span class="n">use_better_transformers</span><span class="o">=</span><span class="n">use_better_transformers</span><span class="p">,</span>
+        <span class="n">assistant_model</span><span class="o">=</span><span class="n">assistant_model</span><span class="p">,</span>
+        <span class="n">model_name</span><span class="o">=</span><span class="n">model_name</span><span class="p">,</span>
+        <span class="n">max_new_tokens</span><span class="o">=</span><span class="n">max_new_tokens</span><span class="p">,</span>
+        <span class="n">chunk_length_s</span><span class="o">=</span><span class="n">chunk_length_s</span><span class="p">,</span>
+        <span class="n">batch_size</span><span class="o">=</span><span class="n">batch_size</span><span class="p">,</span>
+        <span class="n">return_timestamps</span><span class="o">=</span><span class="p">(</span>
+            <span class="s2">"word"</span>
+            <span class="k">if</span> <span class="n">speech_diarization</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">or</span> <span class="n">speech_diarize_per_channel</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span>
+            <span class="k">else</span> <span class="kc">False</span>
+        <span class="p">),</span>
+        <span class="n">per_channel_transcription</span><span class="o">=</span><span class="n">speech_diarize_per_channel</span> <span class="ow">or</span> <span class="mi">0</span><span class="p">,</span>
+        <span class="n">spoken_language</span><span class="o">=</span><span class="n">spoken_language</span><span class="p">,</span>
+        <span class="n">translate_to_english</span><span class="o">=</span><span class="n">translate_to_english</span><span class="p">,</span>
+    <span class="p">)</span>
+
+    <span class="c1"># Run the transcription:</span>
+    <span class="k">if</span> <span class="n">use_multiprocessing</span><span class="p">:</span>
+        <span class="n">results</span> <span class="o">=</span> <span class="n">_parallel_run</span><span class="p">(</span>
+            <span class="n">n_workers</span><span class="o">=</span><span class="n">use_multiprocessing</span>
+            <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">use_multiprocessing</span><span class="p">,</span> <span class="nb">int</span><span class="p">)</span>
+            <span class="k">else</span> <span class="mi">1</span><span class="p">,</span>
+            <span class="n">audio_files</span><span class="o">=</span><span class="n">audio_files</span><span class="p">,</span>
+            <span class="n">batch_processor</span><span class="o">=</span><span class="n">batch_processor</span><span class="p">,</span>
+            <span class="n">transcriber</span><span class="o">=</span><span class="n">transcriber</span><span class="p">,</span>
+            <span class="n">verbose</span><span class="o">=</span><span class="n">verbose</span><span class="p">,</span>
+        <span class="p">)</span>
+    <span class="k">else</span><span class="p">:</span>
+        <span class="n">results</span> <span class="o">=</span> <span class="n">_run</span><span class="p">(</span>
+            <span class="n">audio_files</span><span class="o">=</span><span class="n">audio_files</span><span class="p">,</span>
+            <span class="n">batch_processor</span><span class="o">=</span><span class="n">batch_processor</span><span class="p">,</span>
+            <span class="n">transcriber</span><span class="o">=</span><span class="n">transcriber</span><span class="p">,</span>
+            <span class="n">verbose</span><span class="o">=</span><span class="n">verbose</span><span class="p">,</span>
+        <span class="p">)</span>
+
+    <span class="c1"># Process the results:</span>
+    <span class="k">if</span> <span class="n">verbose</span><span class="p">:</span>
+        <span class="n">_LOGGER</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s2">"Summarizing the results."</span><span class="p">)</span>
+    <span class="n">successes</span> <span class="o">=</span> <span class="p">[]</span>
+    <span class="n">errors</span> <span class="o">=</span> <span class="p">{}</span>
+    <span class="k">for</span> <span class="n">is_error</span><span class="p">,</span> <span class="n">result</span> <span class="ow">in</span> <span class="n">results</span><span class="p">:</span>
+        <span class="k">if</span> <span class="n">is_error</span><span class="p">:</span>
+            <span class="n">errors</span><span class="p">[</span><span class="n">result</span><span class="p">[</span><span class="mi">0</span><span class="p">]]</span> <span class="o">=</span> <span class="n">result</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">successes</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">result</span><span class="p">)</span>
+    <span class="n">successes</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">successes</span><span class="p">,</span> <span class="n">columns</span><span class="o">=</span><span class="p">[</span><span class="s2">"audio_file"</span><span class="p">,</span> <span class="s2">"transcription_file"</span><span class="p">])</span>
+    <span class="k">if</span> <span class="n">verbose</span><span class="p">:</span>
+        <span class="n">_LOGGER</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+            <span class="sa">f</span><span class="s2">"Done (</span><span class="si">{</span><span class="n">successes</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="si">}</span><span class="s2">/</span><span class="si">{</span><span class="nb">len</span><span class="p">(</span><span class="n">audio_files</span><span class="p">)</span><span class="si">}</span><span class="s2">)</span><span class="se">\n</span><span class="s2">"</span>
+            <span class="sa">f</span><span class="s2">"Transcriptions summary:</span><span class="se">\n</span><span class="s2">"</span>
+            <span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">successes</span><span class="o">.</span><span class="n">head</span><span class="p">()</span><span class="si">}</span><span class="s2">"</span>
+        <span class="p">)</span>
+
+    <span class="k">return</span> <span class="nb">str</span><span class="p">(</span><span class="n">output_directory</span><span class="p">),</span> <span class="n">successes</span><span class="p">,</span> <span class="n">errors</span></div>
+
+
+<span class="k">def</span> <span class="nf">_get_audio_files</span><span class="p">(</span>
+    <span class="n">data_path</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="n">Path</span><span class="p">,</span> <span class="nb">str</span><span class="p">,</span> <span class="nb">list</span><span class="p">],</span>
+<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="n">Path</span><span class="p">]:</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    Get the audio files to transcribe. If a path to a directory is given, all files in the directory will be collected.</span>
+
+<span class="sd">    :param data_path: The data path to collect the audio files from.</span>
+
+<span class="sd">    :returns: The audio files list.</span>
+<span class="sd">    """</span>
+    <span class="c1"># Check if given a list of paths:</span>
+    <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">data_path</span><span class="p">,</span> <span class="nb">list</span><span class="p">):</span>
+        <span class="n">audio_files</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="k">for</span> <span class="n">path</span> <span class="ow">in</span> <span class="n">data_path</span><span class="p">:</span>
+            <span class="n">audio_files</span><span class="o">.</span><span class="n">extend</span><span class="p">(</span><span class="n">_get_audio_files</span><span class="p">(</span><span class="n">data_path</span><span class="o">=</span><span class="n">path</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">audio_files</span>
+
+    <span class="c1"># Check if given a single string path to cast it to a `pathlib.Path`:</span>
+    <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">data_path</span><span class="p">,</span> <span class="nb">str</span><span class="p">):</span>
+        <span class="n">data_path</span> <span class="o">=</span> <span class="n">Path</span><span class="p">(</span><span class="n">data_path</span><span class="p">)</span><span class="o">.</span><span class="n">absolute</span><span class="p">()</span>
+
+    <span class="c1"># Check if the path is of a directory or a file:</span>
+    <span class="k">if</span> <span class="n">data_path</span><span class="o">.</span><span class="n">is_dir</span><span class="p">():</span>
+        <span class="c1"># Get all files inside the directory:</span>
+        <span class="n">audio_files</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">data_path</span><span class="o">.</span><span class="n">glob</span><span class="p">(</span><span class="s2">"*.*"</span><span class="p">))</span>
+    <span class="k">elif</span> <span class="n">data_path</span><span class="o">.</span><span class="n">is_file</span><span class="p">():</span>
+        <span class="n">audio_files</span> <span class="o">=</span> <span class="p">[</span><span class="n">data_path</span><span class="p">]</span>
+    <span class="k">else</span><span class="p">:</span>
+        <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span>
+            <span class="sa">f</span><span class="s2">"Unrecognized data path. The parameter `data_path` must be a valid path to either a directory path or a "</span>
+            <span class="sa">f</span><span class="s2">"file. Given: </span><span class="si">{</span><span class="nb">str</span><span class="p">(</span><span class="n">data_path</span><span class="p">)</span><span class="si">}</span><span class="s2"> "</span>
+        <span class="p">)</span>
+
+    <span class="k">return</span> <span class="n">audio_files</span>
+
+
+<span class="k">def</span> <span class="nf">_run</span><span class="p">(</span>
+    <span class="n">audio_files</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Path</span><span class="p">],</span>
+    <span class="n">batch_processor</span><span class="p">:</span> <span class="n">BatchProcessor</span><span class="p">,</span>
+    <span class="n">transcriber</span><span class="p">:</span> <span class="n">Transcriber</span><span class="p">,</span>
+    <span class="n">verbose</span><span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
+<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="n">Tuple</span><span class="p">[</span><span class="nb">bool</span><span class="p">,</span> <span class="n">Tuple</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">str</span><span class="p">]]]:</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    Run the transcription without multiprocessing.</span>
+
+<span class="sd">    :param audio_files:     The audio files to transcribe.</span>
+<span class="sd">    :param batch_processor: The batch processor to use.</span>
+<span class="sd">    :param transcriber:     The transcriber to use.</span>
+<span class="sd">    :param verbose:         Verbosity.</span>
+
+<span class="sd">    :returns: The collected results.</span>
+<span class="sd">    """</span>
+    <span class="c1"># Load the transcription pipeline:</span>
+    <span class="k">if</span> <span class="n">verbose</span><span class="p">:</span>
+        <span class="n">_LOGGER</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Loading the transcription pipeline."</span><span class="p">)</span>
+    <span class="n">transcriber</span><span class="o">.</span><span class="n">load</span><span class="p">()</span>
+    <span class="k">if</span> <span class="n">verbose</span><span class="p">:</span>
+        <span class="n">_LOGGER</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s2">"Transcription pipeline loaded."</span><span class="p">)</span>
+
+    <span class="c1"># Transcribe the files:</span>
+    <span class="n">transcriber</span><span class="o">.</span><span class="n">transcribe</span><span class="p">(</span>
+        <span class="n">audio_files</span><span class="o">=</span><span class="n">audio_files</span><span class="p">,</span>
+        <span class="n">batch_processor</span><span class="o">=</span><span class="n">batch_processor</span><span class="p">,</span>
+        <span class="n">verbose</span><span class="o">=</span><span class="n">verbose</span><span class="p">,</span>
+    <span class="p">)</span>
+
+    <span class="c1"># Return the results:</span>
+    <span class="k">return</span> <span class="n">batch_processor</span><span class="o">.</span><span class="n">get_results</span><span class="p">()</span>
+
+
+<span class="k">def</span> <span class="nf">_parallel_run</span><span class="p">(</span>
+    <span class="n">n_workers</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+    <span class="n">audio_files</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Path</span><span class="p">],</span>
+    <span class="n">batch_processor</span><span class="p">:</span> <span class="n">BatchProcessor</span><span class="p">,</span>
+    <span class="n">transcriber</span><span class="p">:</span> <span class="n">Transcriber</span><span class="p">,</span>
+    <span class="n">verbose</span><span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
+<span class="p">):</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    Run the transcription with multiprocessing.</span>
+
+<span class="sd">    :param n_workers:       The amount of workers to use as task completers.</span>
+<span class="sd">    :param audio_files:     The audio files to transcribe.</span>
+<span class="sd">    :param batch_processor: The batch processor to use.</span>
+<span class="sd">    :param transcriber:     The transcriber to use.</span>
+<span class="sd">    :param verbose:         Verbosity.</span>
+
+<span class="sd">    :returns: The collected results.</span>
+<span class="sd">    """</span>
+    <span class="c1"># Initialize the multiprocessing queues:</span>
+    <span class="n">batches_queue</span> <span class="o">=</span> <span class="n">Queue</span><span class="p">()</span>
+    <span class="n">tasks_queue</span> <span class="o">=</span> <span class="n">Queue</span><span class="p">()</span>
+    <span class="n">results_queue</span> <span class="o">=</span> <span class="n">Queue</span><span class="p">()</span>
+
+    <span class="c1"># Initialize the multiprocessing processes:</span>
+    <span class="n">batch_processing_process</span> <span class="o">=</span> <span class="n">Process</span><span class="p">(</span>
+        <span class="n">target</span><span class="o">=</span><span class="n">_multiprocessing_process_batches</span><span class="p">,</span>
+        <span class="n">kwargs</span><span class="o">=</span><span class="p">{</span>
+            <span class="s2">"batch_processor"</span><span class="p">:</span> <span class="n">batch_processor</span><span class="p">,</span>
+            <span class="s2">"batches_queue"</span><span class="p">:</span> <span class="n">batches_queue</span><span class="p">,</span>
+            <span class="s2">"tasks_queue"</span><span class="p">:</span> <span class="n">tasks_queue</span><span class="p">,</span>
+            <span class="s2">"n_task_completers"</span><span class="p">:</span> <span class="n">n_workers</span><span class="p">,</span>
+        <span class="p">},</span>
+    <span class="p">)</span>
+    <span class="n">task_completion_processes</span> <span class="o">=</span> <span class="p">[</span>
+        <span class="n">Process</span><span class="p">(</span>
+            <span class="n">target</span><span class="o">=</span><span class="n">_multiprocessing_complete_tasks</span><span class="p">,</span>
+            <span class="n">kwargs</span><span class="o">=</span><span class="p">{</span><span class="s2">"tasks_queue"</span><span class="p">:</span> <span class="n">tasks_queue</span><span class="p">,</span> <span class="s2">"results_queue"</span><span class="p">:</span> <span class="n">results_queue</span><span class="p">},</span>
+        <span class="p">)</span>
+        <span class="k">for</span> <span class="n">_</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">n_workers</span><span class="p">)</span>
+    <span class="p">]</span>
+
+    <span class="c1"># Start the multiprocessing processes:</span>
+    <span class="n">batch_processing_process</span><span class="o">.</span><span class="n">start</span><span class="p">()</span>
+    <span class="k">for</span> <span class="n">p</span> <span class="ow">in</span> <span class="n">task_completion_processes</span><span class="p">:</span>
+        <span class="n">p</span><span class="o">.</span><span class="n">start</span><span class="p">()</span>
+
+    <span class="c1"># Load the transcription pipeline:</span>
+    <span class="k">if</span> <span class="n">verbose</span><span class="p">:</span>
+        <span class="n">_LOGGER</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Loading the transcription pipeline."</span><span class="p">)</span>
+    <span class="n">transcriber</span><span class="o">.</span><span class="n">load</span><span class="p">()</span>
+    <span class="k">if</span> <span class="n">verbose</span><span class="p">:</span>
+        <span class="n">_LOGGER</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s2">"Transcription pipeline loaded."</span><span class="p">)</span>
+
+    <span class="c1"># Transcribe the files:</span>
+    <span class="n">transcriber</span><span class="o">.</span><span class="n">transcribe</span><span class="p">(</span>
+        <span class="n">audio_files</span><span class="o">=</span><span class="n">audio_files</span><span class="p">,</span> <span class="n">batches_queue</span><span class="o">=</span><span class="n">batches_queue</span><span class="p">,</span> <span class="n">verbose</span><span class="o">=</span><span class="n">verbose</span>
+    <span class="p">)</span>
+
+    <span class="c1"># Collect the results:</span>
+    <span class="n">results</span> <span class="o">=</span> <span class="p">[]</span>
+    <span class="n">stop_marks_counter</span> <span class="o">=</span> <span class="mi">0</span>
+    <span class="k">while</span> <span class="kc">True</span><span class="p">:</span>
+        <span class="c1"># Get a result from the queue:</span>
+        <span class="n">result</span><span class="p">:</span> <span class="n">Tuple</span><span class="p">[</span><span class="nb">bool</span><span class="p">,</span> <span class="n">Tuple</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">str</span><span class="p">]]</span> <span class="o">=</span> <span class="n">results_queue</span><span class="o">.</span><span class="n">get</span><span class="p">()</span>
+        <span class="k">if</span> <span class="n">result</span> <span class="o">==</span> <span class="n">_MULTIPROCESSING_STOP_MARK</span><span class="p">:</span>
+            <span class="n">stop_marks_counter</span> <span class="o">+=</span> <span class="mi">1</span>
+            <span class="k">if</span> <span class="n">stop_marks_counter</span> <span class="o">==</span> <span class="n">n_workers</span><span class="p">:</span>
+                <span class="k">break</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="c1"># Collect the result:</span>
+            <span class="n">results</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">result</span><span class="p">)</span>
+
+    <span class="c1"># Wait for the processes to finish:</span>
+    <span class="n">results_queue</span><span class="o">.</span><span class="n">empty</span><span class="p">()</span>
+    <span class="n">batch_processing_process</span><span class="o">.</span><span class="n">join</span><span class="p">()</span>
+    <span class="k">for</span> <span class="n">p</span> <span class="ow">in</span> <span class="n">task_completion_processes</span><span class="p">:</span>
+        <span class="n">p</span><span class="o">.</span><span class="n">join</span><span class="p">()</span>
+
+    <span class="k">return</span> <span class="n">results</span>
+</pre></div>
+</div>
+</main>
+<footer class="footer-article noprint">
+<!-- Previous / next buttons -->
+<div class="prev-next-area">
+</div>
+</footer>
+</div>
+</div>
+<div class="footer-content row">
+<footer class="col footer"><p>
+  
+      © Copyright .<br/>
+</p>
+</footer>
+</div>
+</div>
+</div>
+</div>
+<!-- Scripts loaded after <body> so the DOM is not blocked -->
+<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf"></script>
+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/transcribe/latest/src/function.yaml b/functions/master/transcribe/latest/src/function.yaml
index 40dd2f0e..d72751ad 100644
--- a/functions/master/transcribe/latest/src/function.yaml
+++ b/functions/master/transcribe/latest/src/function.yaml
@@ -2,12 +2,14 @@ kind: job
 metadata:
   name: transcribe
   tag: ''
-  hash: 5cd620de67a936ee8a87cfc1f0b97e19730d0a69
+  hash: 8810ac74045bd15cee15a2e4e89563e8e29908d3
   project: ''
   labels:
     author: yonatans
   categories:
   - data-preparation
+  - genai
+  - huggingface
   - machine-learning
 spec:
   command: ''
@@ -24,6 +26,7 @@ spec:
     - tqdm
     - torchaudio
     - torch
+    - accelerate
   entry_points:
     do_task:
       name: do_task
diff --git a/functions/master/transcribe/latest/src/item.yaml b/functions/master/transcribe/latest/src/item.yaml
index d53341ff..7fddcf95 100644
--- a/functions/master/transcribe/latest/src/item.yaml
+++ b/functions/master/transcribe/latest/src/item.yaml
@@ -1,6 +1,8 @@
 apiVersion: v1
 categories:
 - data-preparation
+- genai
+- huggingface
 - machine-learning
 description: Transcribe audio files into text files
 doc: ''
@@ -27,4 +29,4 @@ spec:
     - torch
     - accelerate
 url: ''
-version: 1.0.0
\ No newline at end of file
+version: 1.1.0
\ No newline at end of file
diff --git a/functions/master/transcribe/latest/static/function.html b/functions/master/transcribe/latest/static/function.html
index 74602322..befb810a 100644
--- a/functions/master/transcribe/latest/static/function.html
+++ b/functions/master/transcribe/latest/static/function.html
@@ -19,12 +19,14 @@
 metadata:
   name: transcribe
   tag: ''
-  hash: 5cd620de67a936ee8a87cfc1f0b97e19730d0a69
+  hash: 8810ac74045bd15cee15a2e4e89563e8e29908d3
   project: ''
   labels:
     author: yonatans
   categories:
   - data-preparation
+  - genai
+  - huggingface
   - machine-learning
 spec:
   command: ''
@@ -41,6 +43,7 @@
     - tqdm
     - torchaudio
     - torch
+    - accelerate
   entry_points:
     do_task:
       name: do_task
diff --git a/functions/master/transcribe/latest/static/item.html b/functions/master/transcribe/latest/static/item.html
index 2da1eccb..fddc2e3e 100644
--- a/functions/master/transcribe/latest/static/item.html
+++ b/functions/master/transcribe/latest/static/item.html
@@ -18,6 +18,8 @@
 apiVersion: v1
 categories:
 - data-preparation
+- genai
+- huggingface
 - machine-learning
 description: Transcribe audio files into text files
 doc: ''
@@ -44,7 +46,7 @@
     - torch
     - accelerate
 url: ''
-version: 1.0.0
+version: 1.1.0
         </code>
     </pre>
 </body>
diff --git a/functions/master/translate/0.1.0/src/function.yaml b/functions/master/translate/0.1.0/src/function.yaml
new file mode 100644
index 00000000..bb165610
--- /dev/null
+++ b/functions/master/translate/0.1.0/src/function.yaml
@@ -0,0 +1,135 @@
+kind: job
+metadata:
+  name: translate
+  tag: ''
+  hash: 7eedf684bcebfbfd964e5503afbb56335c8f4097
+  project: ''
+  labels:
+    author: guyl
+  categories:
+  - data-preparation
+  - huggingface
+  - machine-learning
+  - deep-learning
+  - NLP
+spec:
+  command: ''
+  args: []
+  image: ''
+  build:
+    functionSourceCode: # Copyright 2023 Iguazio
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import logging
import operator
import pathlib
from functools import reduce, wraps
from typing import Any, Dict, List, Tuple, Union

import pandas as pd
import transformers
from tqdm import tqdm

# Get the global logger:
_LOGGER = logging.getLogger()


def _check_mlrun_and_open_mpi() -> Tuple["mlrun.MLClientCtx", "mpi4py.MPI.Intracomm"]:
    is_mpi = False
    try:
        import mlrun

        context = mlrun.get_or_create_ctx(name="mlrun")
        is_mpi = context.labels.get("kind", "job") == "mpijob"

        if is_mpi:
            try:
                from mpi4py import MPI

                return context, MPI.COMM_WORLD
            except ModuleNotFoundError as mpi4py_not_found:
                context.logger.error(
                    "To distribute the function using MLRun's 'mpijob' you need to have `mpi4py` package in your "
                    "interpreter. Please run `pip install mpi4py` and make sure you have open-mpi."
                )
                raise mpi4py_not_found
        else:
            return context, None
    except ModuleNotFoundError as module_not_found:
        if is_mpi:
            raise module_not_found
    return None, None


def open_mpi_handler(
    worker_inputs: List[str], root_worker_inputs: Dict[str, Any] = None
):
    global _LOGGER

    # Check for MLRun and OpenMPI availability:
    context, comm = _check_mlrun_and_open_mpi()

    # Check if MLRun is available, set the global logger to MLRun's:
    if context:
        _LOGGER = context.logger

    def decorator(handler):
        if comm is None or comm.Get_size() == 1:
            return handler

        @wraps(handler)
        def wrapper(**kwargs):
            # Get the open mpi environment properties:
            size = comm.Get_size()
            rank = comm.Get_rank()

            # Give the correct chunk of the workers inputs:
            for worker_input in worker_inputs:
                input_argument = kwargs[worker_input]
                if input_argument is None:
                    continue
                if isinstance(input_argument, (str, pathlib.Path)):
                    input_argument = _get_text_files(
                        data_path=pathlib.Path(input_argument).absolute()
                    )
                if len(input_argument) < size:
                    raise ValueError(
                        f"Cannot split the input '{worker_input}' of length {len(input_argument)} to {size} workers. "
                        f"Please reduce the amount of workers for this input."
                    )
                even_chunk_size = len(input_argument) // size
                chunk_start = rank * even_chunk_size
                chunk_end = (
                    (rank + 1) * even_chunk_size
                    if rank + 1 < size
                    else len(input_argument)
                )
                context.logger.info(
                    f"Rank #{rank}: Processing input chunk of '{worker_input}' "
                    f"from index {chunk_start} to {chunk_end}."
                )
                if isinstance(input_argument, list):
                    input_argument = input_argument[chunk_start:chunk_end]
                elif isinstance(input_argument, pd.DataFrame):
                    input_argument = input_argument.iloc[chunk_start:chunk_end:, :]
                kwargs[worker_input] = input_argument

            # Set the root worker only arguments:
            if rank == 0 and root_worker_inputs:
                kwargs.update(root_worker_inputs)

            # Run the worker:
            output = handler(**kwargs)

            # Send the output to the root rank (rank #0):
            output = comm.gather(output, root=0)
            if rank == 0:
                # Join the outputs:
                context.logger.info("Collecting data from workers to root worker.")
                output_directory = output[0][0]
                dataframe = pd.concat(objs=[df for _, df, _ in output], axis=0)
                errors_dictionary = reduce(
                    operator.ior, [err for _, _, err in output], {}
                )
                return output_directory, dataframe, errors_dictionary
            return None

        return wrapper

    return decorator


@open_mpi_handler(worker_inputs=["data_path"], root_worker_inputs={"verbose": True})
def translate(
    data_path: Union[str, List[str], pathlib.Path],
    output_directory: str,
    model_name: str = None,
    source_language: str = None,
    target_language: str = None,
    device: str = None,
    model_kwargs: dict = None,
    batch_size: int = 1,
    translation_kwargs: dict = None,
    verbose: bool = False,
) -> Tuple[str, pd.DataFrame, dict]:
    """
    Translate text files using a transformer model from Huggingface's hub according to the source and target languages
    given (or using the directly provided model name). The end result is a directory of translated text files and a
    dataframe containing the following columns:

    * text_file - The text file path.
    * translation_file - The translation text file name in the output directory.

    :param data_path:          A directory of text files or a single file or a list of files to translate.
    :param output_directory:   Directory where the translated files will be saved.
    :param model_name:         The name of a model to load. If None, the model name is constructed using the source and
                               target languages parameters.
    :param source_language:    The source language code (e.g., 'en' for English).
    :param target_language:    The target language code (e.g., 'en' for English).
    :param model_kwargs:       Keyword arguments to pass regarding the loading of the model in HuggingFace's `pipeline`
                               function.
    :param device:             The device index for transformers. Default will prefer cuda if available.
    :param batch_size:         The number of batches to use in translation. The files are translated one by one, but the
                               sentences can be batched.
    :param translation_kwargs: Additional keyword arguments to pass to a `transformers.TranslationPipeline` when doing
                               the translation inference. Notice the batch size here is being added automatically.
    :param verbose:            Whether to present logs of a progress bar and errors. Default: True.

    :returns: A tuple of:

              * Path to the output directory.
              * A dataframe dataset of the translated file names.
              * A dictionary of errored files that were not translated.
    """
    global _LOGGER

    # Get the input text files to translate:
    if verbose:
        _LOGGER.info("Collecting text files.")
    if isinstance(data_path, str):
        data_path = pathlib.Path(data_path).absolute()
        text_files = _get_text_files(data_path=data_path)
    else:
        text_files = data_path
    if verbose:
        _LOGGER.info(f"Collected {len(text_files)} text files.")

    # Get the translation pipeline:
    if verbose:
        _LOGGER.info(f"Loading model - using device '{device}'.")
    translation_pipeline, model_name = _get_translation_pipeline(
        model_name=model_name,
        source_language=source_language,
        target_language=target_language,
        device=device,
        model_kwargs=model_kwargs,
        batch_size=batch_size if batch_size != 1 else None,
    )
    if verbose:
        _LOGGER.info(f"Model '{model_name}' was loaded successfully.")

    # Prepare the successes dataframe and errors dictionary to be returned:
    successes = []
    errors = {}

    # Create the output directory:
    output_directory = pathlib.Path(output_directory)
    output_directory.mkdir(parents=True, exist_ok=True)

    # Prepare the translation keyword arguments:
    translation_kwargs = translation_kwargs or {}

    # Go over the audio files and transcribe:
    for text_file in tqdm(
        text_files, desc="Translating", unit="file", disable=not verbose
    ):
        try:
            # Translate:
            translation = _translate(
                text_file=text_file,
                translation_pipeline=translation_pipeline,
                translation_kwargs=translation_kwargs,
            )
            # Write the transcription to file:
            translation_file = _save_to_file(
                translation=translation,
                file_name=text_file.stem,
                output_directory=output_directory,
            )
            # Note as a success in the list:
            successes.append(
                [
                    text_file.name,
                    translation_file.name,
                ]
            )
        except Exception as exception:
            # Note the exception as error in the dictionary:
            if verbose:
                _LOGGER.warning(f"Error in file: '{text_file.name}'")
            errors[str(text_file.name)] = str(exception)
            continue

    # Construct the translations dataframe:
    columns = [
        "text_file",
        "translation_file",
    ]
    successes = pd.DataFrame(
        successes,
        columns=columns,
    )

    # Print the head of the produced dataframe and return:
    if verbose:
        _LOGGER.info(
            f"Done ({successes.shape[0]}/{len(text_files)})\n"
            f"Translations summary:\n"
            f"{successes.head()}"
        )
    return str(output_directory), successes, errors


def _get_text_files(
    data_path: pathlib.Path,
) -> List[pathlib.Path]:
    # Check if the path is of a directory or a file:
    if data_path.is_dir():
        # Get all files inside the directory:
        text_files = list(data_path.glob("*.*"))
    elif data_path.is_file():
        text_files = [data_path]
    else:
        raise ValueError(
            f"Unrecognized data path. The parameter `data_path` must be either a directory path or a file path. "
            f"Given: {str(data_path)} "
        )

    return text_files


def _get_translation_pipeline(
    model_name: str = None,
    source_language: str = None,
    target_language: str = None,
    device: str = None,
    model_kwargs: dict = None,
    batch_size: int = None,
) -> Tuple[transformers.Pipeline, str]:
    # Construct the model name - if model name is provided (not None) then we take it, otherwise we check both source
    # and target were provided to construct the model name:
    if model_name is None and (source_language is None or target_language is None):
        raise ValueError(
            "No model name were given and missing source and / or target languages. In order to translate you must "
            "pass a `model_name` or both `source_language` and `target_language`."
        )
    elif model_name is None:
        model_name = f"Helsinki-NLP/opus-mt-{source_language}-{target_language}"

    # Initialize the translation pipeline:
    try:
        translation_pipeline = transformers.pipeline(
            task="translation",
            model=model_name,
            tokenizer=model_name,
            device=device,
            model_kwargs=model_kwargs,
            batch_size=batch_size,
        )
    except OSError as load_exception:
        if (
            "is not a valid model identifier listed on 'https://huggingface.co/models'"
            in str(load_exception)
            and source_language
        ):
            raise ValueError(
                f"The model '{model_name}' is not a valid model identifier. "
                f"The parameters `source_language` and `target_language` are used to construct a Helsinki model for "
                f"text to text generation, but the model created from the given languages does not exist. "
                f"You may check language identifiers at "
                f"https://developers.google.com/admin-sdk/directory/v1/languages, and if the error was not fixed, one "
                f"or more language code might be with 3 letters and needs to be found online. "
                f"Remember, you can always choose a model directly from the Huggingface hub by using the `model_name` "
                f"parameter."
            ) from load_exception
        raise load_exception

    return translation_pipeline, model_name


def _translate(
    text_file: pathlib.Path,
    translation_pipeline: transformers.Pipeline,
    translation_kwargs: dict,
) -> str:
    # Read the text from file:
    with open(text_file, "r") as fp:
        text = fp.read()

    # Split to paragraphs and each paragraph to sentences:
    paragraphs = [paragraph.split(".") for paragraph in text.split("\n")]

    # Discover the newline indexes to restore the file to its structure post translation:
    newlines_indexes = []
    for paragraph in paragraphs[:-1]:
        if len(newlines_indexes) == 0:
            newlines_indexes.append(len(paragraph) - 1)
        else:
            newlines_indexes.append(newlines_indexes[-1] + len(paragraph))

    # Prepare the batches (each sentence from the paragraphs). Notice we add a dot not only to restore the sentence
    # structure but to ignore empty strings as it will ruin the translation:
    sentences = [f"{line}." for paragraph in paragraphs for line in paragraph]

    # Translate the sentences:
    translations = translation_pipeline(sentences, **translation_kwargs)

    # Restructure the full text from the sentences:
    translated_text = []
    newline_index = newlines_indexes.pop(0) if newlines_indexes else None
    for i, translation in enumerate(translations):
        # Get the translation:
        text = translation["translation_text"]
        # Validate if it was an empty sentence before:
        if text == ".":
            text = ""
        # Check if needed to insert a newline:
        if newline_index and newline_index == i:
            text += "\n"
            newline_index = newlines_indexes.pop(0) if newlines_indexes else None
        # Collect it:
        translated_text.append(text)
    translated_text = "".join(translated_text)

    return translated_text


def _save_to_file(
    translation: str, file_name: str, output_directory: pathlib.Path
) -> pathlib.Path:
    # Prepare the file full path (checking for no duplications):
    translation_file = output_directory / f"{file_name}.txt"
    i = 1
    while translation_file.exists():
        i += 1
        translation_file = output_directory / f"{file_name}_{i}.txt"

    # Make sure all directories are created:
    translation_file.parent.mkdir(exist_ok=True, parents=True)

    # Write to file:
    with open(translation_file, "w") as fp:
        fp.write(translation)

    return translation_file

+    base_image: mlrun/mlrun
+    commands: []
+    code_origin: ''
+    origin_filename: ''
+    requirements:
+    - transformers
+    - sentencepiece
+    - torch
+    - tqdm
+  entry_points:
+    open_mpi_handler:
+      name: open_mpi_handler
+      doc: ''
+      parameters:
+      - name: worker_inputs
+        type: List[str]
+      - name: root_worker_inputs
+        type: Dict[str, Any]
+        default: null
+      outputs: []
+      lineno: 56
+      has_varargs: false
+      has_kwargs: false
+    decorator:
+      name: decorator
+      doc: ''
+      parameters:
+      - name: handler
+      outputs: []
+      lineno: 68
+      has_varargs: false
+      has_kwargs: false
+    wrapper:
+      name: wrapper
+      doc: ''
+      parameters: []
+      outputs: []
+      lineno: 73
+      has_varargs: false
+      has_kwargs: true
+    translate:
+      name: translate
+      doc: 'Translate text files using a transformer model from Huggingface''s hub
+        according to the source and target languages
+
+        given (or using the directly provided model name). The end result is a directory
+        of translated text files and a
+
+        dataframe containing the following columns:
+
+
+        * text_file - The text file path.
+
+        * translation_file - The translation text file name in the output directory.'
+      parameters:
+      - name: data_path
+        type: Union[str, List[str], Path]
+        doc: A directory of text files or a single file or a list of files to translate.
+      - name: output_directory
+        type: str
+        doc: Directory where the translated files will be saved.
+      - name: model_name
+        type: str
+        doc: The name of a model to load. If None, the model name is constructed using
+          the source and target languages parameters.
+        default: null
+      - name: source_language
+        type: str
+        doc: The source language code (e.g., 'en' for English).
+        default: null
+      - name: target_language
+        type: str
+        doc: The target language code (e.g., 'en' for English).
+        default: null
+      - name: device
+        type: str
+        doc: The device index for transformers. Default will prefer cuda if available.
+        default: null
+      - name: model_kwargs
+        type: dict
+        doc: Keyword arguments to pass regarding the loading of the model in HuggingFace's
+          `pipeline` function.
+        default: null
+      - name: batch_size
+        type: int
+        doc: The number of batches to use in translation. The files are translated
+          one by one, but the sentences can be batched.
+        default: 1
+      - name: translation_kwargs
+        type: dict
+        doc: Additional keyword arguments to pass to a `transformers.TranslationPipeline`
+          when doing the translation inference. Notice the batch size here is being
+          added automatically.
+        default: null
+      - name: verbose
+        type: bool
+        doc: 'Whether to present logs of a progress bar and errors. Default: True.'
+        default: false
+      outputs:
+      - doc: 'A tuple of:'
+        type: Tuple[str, pd.DataFrame, dict]
+      lineno: 135
+      has_varargs: false
+      has_kwargs: false
+  description: Translate text files from one language to another
+  default_handler: translate
+  disable_auto_mount: false
+  clone_target_dir: ''
+  env: []
+  priority_class_name: ''
+  preemption_mode: prevent
+  affinity: null
+  tolerations: null
+  security_context: {}
+verbose: false
diff --git a/functions/master/translate/0.1.0/src/item.yaml b/functions/master/translate/0.1.0/src/item.yaml
new file mode 100644
index 00000000..e6394734
--- /dev/null
+++ b/functions/master/translate/0.1.0/src/item.yaml
@@ -0,0 +1,33 @@
+apiVersion: v1
+categories:
+- data-preparation
+- huggingface
+- machine-learning
+- deep-learning
+- NLP
+description: Translate text files from one language to another
+doc: ''
+example: translate.ipynb
+generationDate: 2023-12-05:17-20
+hidden: false
+icon: ''
+labels:
+  author: guyl
+maintainers: []
+marketplaceType: ''
+mlrunVersion: 1.5.1
+name: translate
+platformVersion: 3.5.3
+spec:
+  filename: translate.py
+  handler: translate
+  image: mlrun/mlrun
+  kind: job
+  requirements:
+    - transformers
+    - sentencepiece
+    - torch
+    - tqdm
+url: ''
+version: 0.1.0
+test_valid: True
diff --git a/functions/master/translate/0.1.0/src/requirements.txt b/functions/master/translate/0.1.0/src/requirements.txt
new file mode 100644
index 00000000..94e54846
--- /dev/null
+++ b/functions/master/translate/0.1.0/src/requirements.txt
@@ -0,0 +1,4 @@
+transformers
+tqdm
+torch
+sentencepiece
\ No newline at end of file
diff --git a/functions/master/translate/0.1.0/src/test_translate.py b/functions/master/translate/0.1.0/src/test_translate.py
new file mode 100644
index 00000000..a22dc899
--- /dev/null
+++ b/functions/master/translate/0.1.0/src/test_translate.py
@@ -0,0 +1,51 @@
+# Copyright 2023 Iguazio
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+import os.path
+import tempfile
+
+import mlrun
+
+
+def test_translate():
+    project = mlrun.new_project("test-translate")
+    translate_fn = project.set_function("translate.py", "translate", image="mlrun/mlrun")
+    input_text = "Ali her gece bir kitap okur."
+    expected_translation = "Ali reads a book every night."
+
+    with tempfile.TemporaryDirectory() as test_dir:
+        with tempfile.TemporaryDirectory() as data_dir:
+            with open(os.path.join(data_dir, "test_tr.txt"), "w") as f:
+                f.write(input_text)
+            translate_run = translate_fn.run(
+                handler="translate",
+                inputs={
+                    "data_path": data_dir,
+                },
+                params={
+                    "model_name": "Helsinki-NLP/opus-mt-tr-en",
+                    "device": "cpu",
+                    "output_directory": test_dir,
+                },
+                local=True,
+                returns=[
+                    "files: path",
+                    "text_files_dataframe: dataset",
+                    "errors: dict",
+                ],
+                artifact_path=test_dir,
+            )
+            assert translate_run.status.state == "completed"
+            with open(os.path.join(test_dir, "test_tr.txt")) as f:
+                assert f.read() == expected_translation
+
diff --git a/functions/master/translate/0.1.0/src/translate.ipynb b/functions/master/translate/0.1.0/src/translate.ipynb
new file mode 100644
index 00000000..5e14ee87
--- /dev/null
+++ b/functions/master/translate/0.1.0/src/translate.ipynb
@@ -0,0 +1,658 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "6d3c20aa-7129-4905-beaa-7011943373f5",
+   "metadata": {},
+   "source": [
+    "# Translate tutorial"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "afe4a3ee-f886-461c-9830-0fd9a5b625c3",
+   "metadata": {},
+   "source": [
+    "## Short description and explenation"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "313ed5c3-7416-4bbb-a7fb-aa37ab1f8445",
+   "metadata": {},
+   "source": [
+    "Machine translation has made huge strides in recent years thanks to advances in deep learning, our translte function makes it even easier to use. <br>\n",
+    "Simply tell it where your file is and the languages you're working with (the one you're translating from and the one you want),<br>\n",
+    "and this function takes care of the rest. It cleverly picks the right pre-trained model for your language pair, ensuring top-notch translations.<br>\n",
+    "\n",
+    "No need to worry about finding the perfect model or dealing with complex setup – it's all handled behind the scenes.<br>\n",
+    "\n",
+    "With this function, language translation becomes a breeze, making your documents accessible in any language without breaking a sweat."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9352f799-fe99-4ace-9b44-ca0e28bb1fb4",
+   "metadata": {},
+   "source": [
+    "## Background"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6026a8bd-e2e7-454a-b325-9550561a587e",
+   "metadata": {},
+   "source": [
+    "The function takes two parameters: a model name or the source and target languages, and a path to one or more text files to translate.\n",
+    "\n",
+    "It first checks if a model name was passed. If so, it loads that Helsinki-NLP model.<br>\n",
+    "If not, it looks at the source and target languages and loads the appropriate Helsinki-NLP translation model.\n",
+    "\n",
+    "It then reads in the text files and translates them using the loaded model.\n",
+    "\n",
+    "Finally, it writes the translated text out to new files and returns the filename or dir name. <br>\n",
+    "\n",
+    "This allows the user to easily translate a text file to another language using Helsinki-NLP's pre-trained models by just passing the model name or language pair and source text file.<br>\n",
+    "\n",
+    "This function auto-model selection is based on the great translation models offered by Helsinki. Check them out https://huggingface.co/Helsinki-NLP"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "42ec9bc3-2b90-40f1-b10b-5493d9e2b75e",
+   "metadata": {},
+   "source": [
+    "## Requirements"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6b756726-e750-4da4-b032-bf5385f85311",
+   "metadata": {},
+   "source": [
+    "`transformers` <br>\n",
+    "`tqdm` <br>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "212b8161-3e75-459e-98f3-a5b7c5a15efe",
+   "metadata": {},
+   "source": [
+    "## Documentation"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9b5fe561-4fbb-4471-91bb-532fa55559f9",
+   "metadata": {},
+   "source": [
+    "`data_path`:          A directory of text files or a single text file or a list of files to translate.\n",
+    "\n",
+    "`output_directory`:   Directory where the translated files will be saved.\n",
+    "\n",
+    "`model_name`:         The name of a model to load. If None, the model name is constructed using the source and<br>\n",
+    "                           target languages parameters from the \"Helsinki-NLP\" group.\n",
+    "                           \n",
+    "`source_language`:    The source language code (e.g., 'en' for English).\n",
+    "\n",
+    "`target_language`:    The target language code (e.g., 'en' for English).\n",
+    "\n",
+    "`model_kwargs`:       Keyword arguments to pass regarding the loading of the model in HuggingFace's \"pipeline\"\n",
+    "                           function.\n",
+    "                           \n",
+    "`device`:             The device index for transformers. Default will prefer cuda if available.\n",
+    "\n",
+    "`batch_size`:         The number of batches to use in translation. The files are translated one by one, but the\n",
+    "                           sentences can be batched.\n",
+    "                           \n",
+    "`translation_kwargs`: Additional keyword arguments to pass to a \"transformers.TranslationPipeline\" when doing<br>\n",
+    "                               the translation inference. Notice the batch size here is being added automatically.\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2e6f44a6-d6ac-48ed-a7d1-936d25e7426c",
+   "metadata": {},
+   "source": [
+    "## Demo "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2b231e4c-0224-41a2-87cf-400a4680e2b9",
+   "metadata": {},
+   "source": [
+    "The following demo will show an example of translating a text file written in turkish to eanglish using the _tranlate_ function. <br>\n",
+    "\n",
+    "### (1.) Import the function (import mlrun, set project and import function)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "797ef0d4-f435-485c-b705-e1d6115fb8fd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import mlrun"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1ff51127-dc54-44d2-bd13-0b81165b2033",
+   "metadata": {},
+   "source": [
+    "We want to translate the following turkish sentence into english, so we will write it to a text file."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "f9517cc8-a0d6-4169-b746-cf4c265e6a3b",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Writing data.txt\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%writefile data.txt\n",
+    "Ali her gece bir kitap okur. # which means: \"Ali reads a book every night.\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c24d71a7-9400-475a-9472-424658801914",
+   "metadata": {},
+   "source": [
+    "Setting a project and importing the translate function"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "e61184ea-44a3-4184-9a2f-9c45b90fdc0f",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "> 2023-12-06 14:44:05,223 [info] Created and saved project: {'name': 'test-translate', 'from_template': None, 'overwrite': False, 'context': './', 'save': True}\n"
+     ]
+    }
+   ],
+   "source": [
+    "project = mlrun.new_project(\"test-translate\")\n",
+    "translate_fn = project.set_function(\"hub://translate\", \"translate\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "558260ce-e453-4e05-a6a7-b2df39cff1b9",
+   "metadata": {},
+   "source": [
+    "## Usage"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5a1781ee-a210-4dc1-82de-0f4f5d191173",
+   "metadata": {},
+   "source": [
+    "### (2.1.) Manual model selection\n",
+    "Here we run our function that we've imported from the MLRun Function Hub. <br>\n",
+    "We select the specific model, give the function a path to to the file and output directory and choose to run on the cpu."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "9b3107fd-b78d-43de-b4a2-ad3863f72a03",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "> 2023-12-06 14:48:52,794 [info] Storing function: {'name': 'translate-translate', 'uid': '5768d0ddaf06469da053c85d47f61a47', 'db': 'http://mlrun-api:8080'}\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Recommended: pip install sacremoses.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "> 2023-12-06 14:48:56,190 [warning] Skipping logging an object with the log hint '{'key': 'errors', 'artifact_type': 'dict'}' due to the following error:\n",
+      "An exception was raised during the packing of '{}': No packager was found for the combination of 'object_type=builtins.dict' and 'artifact_type=dict'.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<style>\n",
+       ".dictlist {\n",
+       "  background-color: #4EC64B;\n",
+       "  text-align: center;\n",
+       "  margin: 4px;\n",
+       "  border-radius: 3px; padding: 0px 3px 1px 3px; display: inline-block;}\n",
+       ".artifact {\n",
+       "  cursor: pointer;\n",
+       "  background-color: #4EC64B;\n",
+       "  text-align: left;\n",
+       "  margin: 4px; border-radius: 3px; padding: 0px 3px 1px 3px; display: inline-block;\n",
+       "}\n",
+       "div.block.hidden {\n",
+       "  display: none;\n",
+       "}\n",
+       ".clickable {\n",
+       "  cursor: pointer;\n",
+       "}\n",
+       ".ellipsis {\n",
+       "  display: inline-block;\n",
+       "  max-width: 60px;\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "}\n",
+       ".master-wrapper {\n",
+       "  display: flex;\n",
+       "  flex-flow: row nowrap;\n",
+       "  justify-content: flex-start;\n",
+       "  align-items: stretch;\n",
+       "}\n",
+       ".master-tbl {\n",
+       "  flex: 3\n",
+       "}\n",
+       ".master-wrapper > div {\n",
+       "  margin: 4px;\n",
+       "  padding: 10px;\n",
+       "}\n",
+       "iframe.fileview {\n",
+       "  border: 0 none;\n",
+       "  height: 100%;\n",
+       "  width: 100%;\n",
+       "  white-space: pre-wrap;\n",
+       "}\n",
+       ".pane-header-title {\n",
+       "  width: 80%;\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       ".pane-header {\n",
+       "  line-height: 1;\n",
+       "  background-color: #4EC64B;\n",
+       "  padding: 3px;\n",
+       "}\n",
+       ".pane-header .close {\n",
+       "  font-size: 20px;\n",
+       "  font-weight: 700;\n",
+       "  float: right;\n",
+       "  margin-top: -5px;\n",
+       "}\n",
+       ".master-wrapper .right-pane {\n",
+       "  border: 1px inset silver;\n",
+       "  width: 40%;\n",
+       "  min-height: 300px;\n",
+       "  flex: 3\n",
+       "  min-width: 500px;\n",
+       "}\n",
+       ".master-wrapper * {\n",
+       "  box-sizing: border-box;\n",
+       "}\n",
+       "</style><script>\n",
+       "function copyToClipboard(fld) {\n",
+       "    if (document.queryCommandSupported && document.queryCommandSupported('copy')) {\n",
+       "        var textarea = document.createElement('textarea');\n",
+       "        textarea.textContent = fld.innerHTML;\n",
+       "        textarea.style.position = 'fixed';\n",
+       "        document.body.appendChild(textarea);\n",
+       "        textarea.select();\n",
+       "\n",
+       "        try {\n",
+       "            return document.execCommand('copy'); // Security exception may be thrown by some browsers.\n",
+       "        } catch (ex) {\n",
+       "\n",
+       "        } finally {\n",
+       "            document.body.removeChild(textarea);\n",
+       "        }\n",
+       "    }\n",
+       "}\n",
+       "function expandPanel(el) {\n",
+       "  const panelName = \"#\" + el.getAttribute('paneName');\n",
+       "  console.log(el.title);\n",
+       "\n",
+       "  document.querySelector(panelName + \"-title\").innerHTML = el.title\n",
+       "  iframe = document.querySelector(panelName + \"-body\");\n",
+       "\n",
+       "  const tblcss = `<style> body { font-family: Arial, Helvetica, sans-serif;}\n",
+       "    #csv { margin-bottom: 15px; }\n",
+       "    #csv table { border-collapse: collapse;}\n",
+       "    #csv table td { padding: 4px 8px; border: 1px solid silver;} </style>`;\n",
+       "\n",
+       "  function csvToHtmlTable(str) {\n",
+       "    return '<div id=\"csv\"><table><tr><td>' +  str.replace(/[\\n\\r]+$/g, '').replace(/[\\n\\r]+/g, '</td></tr><tr><td>')\n",
+       "      .replace(/,/g, '</td><td>') + '</td></tr></table></div>';\n",
+       "  }\n",
+       "\n",
+       "  function reqListener () {\n",
+       "    if (el.title.endsWith(\".csv\")) {\n",
+       "      iframe.setAttribute(\"srcdoc\", tblcss + csvToHtmlTable(this.responseText));\n",
+       "    } else {\n",
+       "      iframe.setAttribute(\"srcdoc\", this.responseText);\n",
+       "    }\n",
+       "    console.log(this.responseText);\n",
+       "  }\n",
+       "\n",
+       "  const oReq = new XMLHttpRequest();\n",
+       "  oReq.addEventListener(\"load\", reqListener);\n",
+       "  oReq.open(\"GET\", el.title);\n",
+       "  oReq.send();\n",
+       "\n",
+       "\n",
+       "  //iframe.src = el.title;\n",
+       "  const resultPane = document.querySelector(panelName + \"-pane\");\n",
+       "  if (resultPane.classList.contains(\"hidden\")) {\n",
+       "    resultPane.classList.remove(\"hidden\");\n",
+       "  }\n",
+       "}\n",
+       "function closePanel(el) {\n",
+       "  const panelName = \"#\" + el.getAttribute('paneName')\n",
+       "  const resultPane = document.querySelector(panelName + \"-pane\");\n",
+       "  if (!resultPane.classList.contains(\"hidden\")) {\n",
+       "    resultPane.classList.add(\"hidden\");\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "</script>\n",
+       "<div class=\"master-wrapper\">\n",
+       "  <div class=\"block master-tbl\"><div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>project</th>\n",
+       "      <th>uid</th>\n",
+       "      <th>iter</th>\n",
+       "      <th>start</th>\n",
+       "      <th>state</th>\n",
+       "      <th>name</th>\n",
+       "      <th>labels</th>\n",
+       "      <th>inputs</th>\n",
+       "      <th>parameters</th>\n",
+       "      <th>results</th>\n",
+       "      <th>artifacts</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <td>test-translate</td>\n",
+       "      <td><div title=\"5768d0ddaf06469da053c85d47f61a47\"><a href=\"https://dashboard.default-tenant.app.llm2.iguazio-cd0.com/mlprojects/test-translate/jobs/monitor/5768d0ddaf06469da053c85d47f61a47/overview\" target=\"_blank\" >...47f61a47</a></div></td>\n",
+       "      <td>0</td>\n",
+       "      <td>Dec 06 14:48:52</td>\n",
+       "      <td>completed</td>\n",
+       "      <td>translate-translate</td>\n",
+       "      <td><div class=\"dictlist\">v3io_user=yonis</div><div class=\"dictlist\">kind=local</div><div class=\"dictlist\">owner=yonis</div><div class=\"dictlist\">host=jupyter-yonis-7c9bdbfb4d-9g2p2</div></td>\n",
+       "      <td><div class=\"artifact\" onclick=\"expandPanel(this)\" paneName=\"resulta746a04e\" title=\"/files/translate/data.txt\">data_path</div></td>\n",
+       "      <td><div class=\"dictlist\">model_name=Helsinki-NLP/opus-mt-tr-en</div><div class=\"dictlist\">device=cpu</div><div class=\"dictlist\">output_directory=./</div></td>\n",
+       "      <td></td>\n",
+       "      <td><div title=\"v3io:///projects/test-translate/artifacts/translate-translate/0/files\">files</div><div title=\"v3io:///projects/test-translate/artifacts/translate-translate/0/text_files_dataframe.parquet\">text_files_dataframe</div></td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div></div>\n",
+       "  <div id=\"resulta746a04e-pane\" class=\"right-pane block hidden\">\n",
+       "    <div class=\"pane-header\">\n",
+       "      <span id=\"resulta746a04e-title\" class=\"pane-header-title\">Title</span>\n",
+       "      <span onclick=\"closePanel(this)\" paneName=\"resulta746a04e\" class=\"close clickable\">&times;</span>\n",
+       "    </div>\n",
+       "    <iframe class=\"fileview\" id=\"resulta746a04e-body\"></iframe>\n",
+       "  </div>\n",
+       "</div>\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<b> > to track results use the .show() or .logs() methods  or <a href=\"https://dashboard.default-tenant.app.llm2.iguazio-cd0.com/mlprojects/test-translate/jobs/monitor/5768d0ddaf06469da053c85d47f61a47/overview\" target=\"_blank\">click here</a> to open in UI</b>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "> 2023-12-06 14:48:56,409 [info] Run execution finished: {'status': 'completed', 'name': 'translate-translate'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "translate_run = translate_fn.run(\n",
+    "    handler=\"translate\",\n",
+    "    inputs={\"data_path\": \"data.txt\"},\n",
+    "    params={\n",
+    "        \"model_name\": \"Helsinki-NLP/opus-mt-tr-en\",\n",
+    "        \"device\": \"cpu\",\n",
+    "        \"output_directory\": \"./\",\n",
+    "    },\n",
+    "    local=True,\n",
+    "    returns=[\n",
+    "        \"files: path\",\n",
+    "        \"text_files_dataframe: dataset\",\n",
+    "        \"errors: dict\",\n",
+    "    ],\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8b2fcf2b-3893-4dda-85e2-4a2b9ed0d963",
+   "metadata": {},
+   "source": [
+    "### (2.1.) Auto model detectyion"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8c3d24ca-8df7-4204-8b0d-e7a08d53d8c9",
+   "metadata": {},
+   "source": [
+    "Here we run our function that we've imported from the MLRun Function Hub. <br>\n",
+    "We select the languages to use for choosing the model, give the function a path to to the file and output directory and choose to run on the cpu."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "dbe10afd-5ede-4475-abc2-bb07dfdf33aa",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "translate_run = translate_fn.run(\n",
+    "    handler=\"translate\",\n",
+    "    inputs={\"data_path\": \"data.txt\"},\n",
+    "    params={\n",
+    "        \"target_language\": \"en\",\n",
+    "        \"source_language\": \"tr\",\n",
+    "        \"device\": \"cpu\",\n",
+    "        \"output_directory\": \"./\",\n",
+    "    },\n",
+    "    local=True,\n",
+    "    returns=[\n",
+    "        \"files: path\",\n",
+    "        \"text_files_dataframe: dataset\",\n",
+    "        \"errors: dict\",\n",
+    "    ],\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "40e4a666-9680-40d6-93ee-9466d31a9efc",
+   "metadata": {},
+   "source": [
+    "We can take alook at the file created"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "89a1952c-f3c3-4a7b-bad4-b59c701a5af6",
+   "metadata": {},
+   "source": [
+    "### (3.) Review results"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9d583cf9-7e81-4d0d-982f-aba345d4cf9c",
+   "metadata": {},
+   "source": [
+    "We can look at the articat returned, the import "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "c3dab6f8-6089-46c2-b4b9-899a2442403f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>text_file</th>\n",
+       "      <th>translation_file</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>data.txt</td>\n",
+       "      <td>data_2.txt</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  text_file translation_file\n",
+       "0  data.txt       data_2.txt"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "translate_run.artifact(\"text_files_dataframe\").show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "580a20a2-4877-48b4-8f83-59cbfc2f3b83",
+   "metadata": {},
+   "source": [
+    "Checking that translation is correct, we print the text file created by function, and can see the sentence is as expected."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "0157bcaf-8f2c-4995-a214-32f2710da4c9",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Translated text:\n",
+      "Ali reads a book every night.\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "with open(\"data_2.txt\", \"r\") as f:\n",
+    "    print(f\"Translated text:\\n{f.read()}\")"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "mlrun-base",
+   "language": "python",
+   "name": "conda-env-mlrun-base-py"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.16"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/functions/master/translate/0.1.0/src/translate.py b/functions/master/translate/0.1.0/src/translate.py
new file mode 100644
index 00000000..360fa620
--- /dev/null
+++ b/functions/master/translate/0.1.0/src/translate.py
@@ -0,0 +1,396 @@
+# Copyright 2023 Iguazio
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import logging
+import operator
+import pathlib
+from functools import reduce, wraps
+from typing import Any, Dict, List, Tuple, Union
+
+import pandas as pd
+import transformers
+from tqdm import tqdm
+
+# Get the global logger:
+_LOGGER = logging.getLogger()
+
+
+def _check_mlrun_and_open_mpi() -> Tuple["mlrun.MLClientCtx", "mpi4py.MPI.Intracomm"]:
+    is_mpi = False
+    try:
+        import mlrun
+
+        context = mlrun.get_or_create_ctx(name="mlrun")
+        is_mpi = context.labels.get("kind", "job") == "mpijob"
+
+        if is_mpi:
+            try:
+                from mpi4py import MPI
+
+                return context, MPI.COMM_WORLD
+            except ModuleNotFoundError as mpi4py_not_found:
+                context.logger.error(
+                    "To distribute the function using MLRun's 'mpijob' you need to have `mpi4py` package in your "
+                    "interpreter. Please run `pip install mpi4py` and make sure you have open-mpi."
+                )
+                raise mpi4py_not_found
+        else:
+            return context, None
+    except ModuleNotFoundError as module_not_found:
+        if is_mpi:
+            raise module_not_found
+    return None, None
+
+
+def open_mpi_handler(
+    worker_inputs: List[str], root_worker_inputs: Dict[str, Any] = None
+):
+    global _LOGGER
+
+    # Check for MLRun and OpenMPI availability:
+    context, comm = _check_mlrun_and_open_mpi()
+
+    # Check if MLRun is available, set the global logger to MLRun's:
+    if context:
+        _LOGGER = context.logger
+
+    def decorator(handler):
+        if comm is None or comm.Get_size() == 1:
+            return handler
+
+        @wraps(handler)
+        def wrapper(**kwargs):
+            # Get the open mpi environment properties:
+            size = comm.Get_size()
+            rank = comm.Get_rank()
+
+            # Give the correct chunk of the workers inputs:
+            for worker_input in worker_inputs:
+                input_argument = kwargs[worker_input]
+                if input_argument is None:
+                    continue
+                if isinstance(input_argument, (str, pathlib.Path)):
+                    input_argument = _get_text_files(
+                        data_path=pathlib.Path(input_argument).absolute()
+                    )
+                if len(input_argument) < size:
+                    raise ValueError(
+                        f"Cannot split the input '{worker_input}' of length {len(input_argument)} to {size} workers. "
+                        f"Please reduce the amount of workers for this input."
+                    )
+                even_chunk_size = len(input_argument) // size
+                chunk_start = rank * even_chunk_size
+                chunk_end = (
+                    (rank + 1) * even_chunk_size
+                    if rank + 1 < size
+                    else len(input_argument)
+                )
+                context.logger.info(
+                    f"Rank #{rank}: Processing input chunk of '{worker_input}' "
+                    f"from index {chunk_start} to {chunk_end}."
+                )
+                if isinstance(input_argument, list):
+                    input_argument = input_argument[chunk_start:chunk_end]
+                elif isinstance(input_argument, pd.DataFrame):
+                    input_argument = input_argument.iloc[chunk_start:chunk_end:, :]
+                kwargs[worker_input] = input_argument
+
+            # Set the root worker only arguments:
+            if rank == 0 and root_worker_inputs:
+                kwargs.update(root_worker_inputs)
+
+            # Run the worker:
+            output = handler(**kwargs)
+
+            # Send the output to the root rank (rank #0):
+            output = comm.gather(output, root=0)
+            if rank == 0:
+                # Join the outputs:
+                context.logger.info("Collecting data from workers to root worker.")
+                output_directory = output[0][0]
+                dataframe = pd.concat(objs=[df for _, df, _ in output], axis=0)
+                errors_dictionary = reduce(
+                    operator.ior, [err for _, _, err in output], {}
+                )
+                return output_directory, dataframe, errors_dictionary
+            return None
+
+        return wrapper
+
+    return decorator
+
+
+@open_mpi_handler(worker_inputs=["data_path"], root_worker_inputs={"verbose": True})
+def translate(
+    data_path: Union[str, List[str], pathlib.Path],
+    output_directory: str,
+    model_name: str = None,
+    source_language: str = None,
+    target_language: str = None,
+    device: str = None,
+    model_kwargs: dict = None,
+    batch_size: int = 1,
+    translation_kwargs: dict = None,
+    verbose: bool = False,
+) -> Tuple[str, pd.DataFrame, dict]:
+    """
+    Translate text files using a transformer model from Huggingface's hub according to the source and target languages
+    given (or using the directly provided model name). The end result is a directory of translated text files and a
+    dataframe containing the following columns:
+
+    * text_file - The text file path.
+    * translation_file - The translation text file name in the output directory.
+
+    :param data_path:          A directory of text files or a single file or a list of files to translate.
+    :param output_directory:   Directory where the translated files will be saved.
+    :param model_name:         The name of a model to load. If None, the model name is constructed using the source and
+                               target languages parameters.
+    :param source_language:    The source language code (e.g., 'en' for English).
+    :param target_language:    The target language code (e.g., 'en' for English).
+    :param model_kwargs:       Keyword arguments to pass regarding the loading of the model in HuggingFace's `pipeline`
+                               function.
+    :param device:             The device index for transformers. Default will prefer cuda if available.
+    :param batch_size:         The number of batches to use in translation. The files are translated one by one, but the
+                               sentences can be batched.
+    :param translation_kwargs: Additional keyword arguments to pass to a `transformers.TranslationPipeline` when doing
+                               the translation inference. Notice the batch size here is being added automatically.
+    :param verbose:            Whether to present logs of a progress bar and errors. Default: True.
+
+    :returns: A tuple of:
+
+              * Path to the output directory.
+              * A dataframe dataset of the translated file names.
+              * A dictionary of errored files that were not translated.
+    """
+    global _LOGGER
+
+    # Get the input text files to translate:
+    if verbose:
+        _LOGGER.info("Collecting text files.")
+    if isinstance(data_path, str):
+        data_path = pathlib.Path(data_path).absolute()
+        text_files = _get_text_files(data_path=data_path)
+    else:
+        text_files = data_path
+    if verbose:
+        _LOGGER.info(f"Collected {len(text_files)} text files.")
+
+    # Get the translation pipeline:
+    if verbose:
+        _LOGGER.info(f"Loading model - using device '{device}'.")
+    translation_pipeline, model_name = _get_translation_pipeline(
+        model_name=model_name,
+        source_language=source_language,
+        target_language=target_language,
+        device=device,
+        model_kwargs=model_kwargs,
+        batch_size=batch_size if batch_size != 1 else None,
+    )
+    if verbose:
+        _LOGGER.info(f"Model '{model_name}' was loaded successfully.")
+
+    # Prepare the successes dataframe and errors dictionary to be returned:
+    successes = []
+    errors = {}
+
+    # Create the output directory:
+    output_directory = pathlib.Path(output_directory)
+    output_directory.mkdir(parents=True, exist_ok=True)
+
+    # Prepare the translation keyword arguments:
+    translation_kwargs = translation_kwargs or {}
+
+    # Go over the audio files and transcribe:
+    for text_file in tqdm(
+        text_files, desc="Translating", unit="file", disable=not verbose
+    ):
+        try:
+            # Translate:
+            translation = _translate(
+                text_file=text_file,
+                translation_pipeline=translation_pipeline,
+                translation_kwargs=translation_kwargs,
+            )
+            # Write the transcription to file:
+            translation_file = _save_to_file(
+                translation=translation,
+                file_name=text_file.stem,
+                output_directory=output_directory,
+            )
+            # Note as a success in the list:
+            successes.append(
+                [
+                    text_file.name,
+                    translation_file.name,
+                ]
+            )
+        except Exception as exception:
+            # Note the exception as error in the dictionary:
+            if verbose:
+                _LOGGER.warning(f"Error in file: '{text_file.name}'")
+            errors[str(text_file.name)] = str(exception)
+            continue
+
+    # Construct the translations dataframe:
+    columns = [
+        "text_file",
+        "translation_file",
+    ]
+    successes = pd.DataFrame(
+        successes,
+        columns=columns,
+    )
+
+    # Print the head of the produced dataframe and return:
+    if verbose:
+        _LOGGER.info(
+            f"Done ({successes.shape[0]}/{len(text_files)})\n"
+            f"Translations summary:\n"
+            f"{successes.head()}"
+        )
+    return str(output_directory), successes, errors
+
+
+def _get_text_files(
+    data_path: pathlib.Path,
+) -> List[pathlib.Path]:
+    # Check if the path is of a directory or a file:
+    if data_path.is_dir():
+        # Get all files inside the directory:
+        text_files = list(data_path.glob("*.*"))
+    elif data_path.is_file():
+        text_files = [data_path]
+    else:
+        raise ValueError(
+            f"Unrecognized data path. The parameter `data_path` must be either a directory path or a file path. "
+            f"Given: {str(data_path)} "
+        )
+
+    return text_files
+
+
+def _get_translation_pipeline(
+    model_name: str = None,
+    source_language: str = None,
+    target_language: str = None,
+    device: str = None,
+    model_kwargs: dict = None,
+    batch_size: int = None,
+) -> Tuple[transformers.Pipeline, str]:
+    # Construct the model name - if model name is provided (not None) then we take it, otherwise we check both source
+    # and target were provided to construct the model name:
+    if model_name is None and (source_language is None or target_language is None):
+        raise ValueError(
+            "No model name were given and missing source and / or target languages. In order to translate you must "
+            "pass a `model_name` or both `source_language` and `target_language`."
+        )
+    elif model_name is None:
+        model_name = f"Helsinki-NLP/opus-mt-{source_language}-{target_language}"
+
+    # Initialize the translation pipeline:
+    try:
+        translation_pipeline = transformers.pipeline(
+            task="translation",
+            model=model_name,
+            tokenizer=model_name,
+            device=device,
+            model_kwargs=model_kwargs,
+            batch_size=batch_size,
+        )
+    except OSError as load_exception:
+        if (
+            "is not a valid model identifier listed on 'https://huggingface.co/models'"
+            in str(load_exception)
+            and source_language
+        ):
+            raise ValueError(
+                f"The model '{model_name}' is not a valid model identifier. "
+                f"The parameters `source_language` and `target_language` are used to construct a Helsinki model for "
+                f"text to text generation, but the model created from the given languages does not exist. "
+                f"You may check language identifiers at "
+                f"https://developers.google.com/admin-sdk/directory/v1/languages, and if the error was not fixed, one "
+                f"or more language code might be with 3 letters and needs to be found online. "
+                f"Remember, you can always choose a model directly from the Huggingface hub by using the `model_name` "
+                f"parameter."
+            ) from load_exception
+        raise load_exception
+
+    return translation_pipeline, model_name
+
+
+def _translate(
+    text_file: pathlib.Path,
+    translation_pipeline: transformers.Pipeline,
+    translation_kwargs: dict,
+) -> str:
+    # Read the text from file:
+    with open(text_file, "r") as fp:
+        text = fp.read()
+
+    # Split to paragraphs and each paragraph to sentences:
+    paragraphs = [paragraph.split(".") for paragraph in text.split("\n")]
+
+    # Discover the newline indexes to restore the file to its structure post translation:
+    newlines_indexes = []
+    for paragraph in paragraphs[:-1]:
+        if len(newlines_indexes) == 0:
+            newlines_indexes.append(len(paragraph) - 1)
+        else:
+            newlines_indexes.append(newlines_indexes[-1] + len(paragraph))
+
+    # Prepare the batches (each sentence from the paragraphs). Notice we add a dot not only to restore the sentence
+    # structure but to ignore empty strings as it will ruin the translation:
+    sentences = [f"{line}." for paragraph in paragraphs for line in paragraph]
+
+    # Translate the sentences:
+    translations = translation_pipeline(sentences, **translation_kwargs)
+
+    # Restructure the full text from the sentences:
+    translated_text = []
+    newline_index = newlines_indexes.pop(0) if newlines_indexes else None
+    for i, translation in enumerate(translations):
+        # Get the translation:
+        text = translation["translation_text"]
+        # Validate if it was an empty sentence before:
+        if text == ".":
+            text = ""
+        # Check if needed to insert a newline:
+        if newline_index and newline_index == i:
+            text += "\n"
+            newline_index = newlines_indexes.pop(0) if newlines_indexes else None
+        # Collect it:
+        translated_text.append(text)
+    translated_text = "".join(translated_text)
+
+    return translated_text
+
+
+def _save_to_file(
+    translation: str, file_name: str, output_directory: pathlib.Path
+) -> pathlib.Path:
+    # Prepare the file full path (checking for no duplications):
+    translation_file = output_directory / f"{file_name}.txt"
+    i = 1
+    while translation_file.exists():
+        i += 1
+        translation_file = output_directory / f"{file_name}_{i}.txt"
+
+    # Make sure all directories are created:
+    translation_file.parent.mkdir(exist_ok=True, parents=True)
+
+    # Write to file:
+    with open(translation_file, "w") as fp:
+        fp.write(translation)
+
+    return translation_file
diff --git a/functions/master/translate/0.1.0/static/documentation.html b/functions/master/translate/0.1.0/static/documentation.html
new file mode 100644
index 00000000..a14e4045
--- /dev/null
+++ b/functions/master/translate/0.1.0/static/documentation.html
@@ -0,0 +1,266 @@
+
+<!DOCTYPE html>
+
+<html lang="en">
+<head>
+<meta charset="utf-8"/>
+<meta content="width=device-width, initial-scale=1.0" name="viewport"/><meta content="Docutils 0.17.1: http://docutils.sourceforge.net/" name="generator"/>
+<title>translate package</title>
+<!-- Loaded before other Sphinx assets -->
+<link href="../../../_static/styles/theme.css?digest=1999514e3f237ded88cf" rel="stylesheet"/>
+<link href="../../../_static/styles/pydata-sphinx-theme.css?digest=1999514e3f237ded88cf" rel="stylesheet"/>
+<link href="../../../_static/vendor/fontawesome/5.13.0/css/all.min.css" rel="stylesheet"/>
+<link as="font" crossorigin="" href="../../../_static/vendor/fontawesome/5.13.0/webfonts/fa-solid-900.woff2" rel="preload" type="font/woff2"/>
+<link as="font" crossorigin="" href="../../../_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2" rel="preload" type="font/woff2"/>
+<link href="../../../_static/pygments.css" rel="stylesheet" type="text/css">
+<link href="../../../_static/styles/sphinx-book-theme.css?digest=5115cc725059bd94278eecd172e13a965bf8f5a9" rel="stylesheet" type="text/css">
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+<link href="../../../_static/togglebutton.css" rel="stylesheet" type="text/css">
+<!-- Pre-loaded scripts that we'll load fully later -->
+<link as="script" href="../../../_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf" rel="preload"/>
+<script src="../../../_static/scripts/sphinx-book-theme.js?digest=9c920249402e914e316237a7dbc6769907cce411"></script>
+<script data-url_root="./" id="documentation_options" src="../../../_static/documentation_options.js"></script>
+<script src="../../../_static/jquery.js"></script>
+<script src="../../../_static/underscore.js"></script>
+<script src="../../../_static/doctools.js"></script>
+<script>let toggleHintShow = 'Click to show';</script>
+<script>let toggleHintHide = 'Click to hide';</script>
+<script>let toggleOpenOnPrint = 'true';</script>
+<script src="../../../_static/togglebutton.js"></script>
+<script src="../../../_static/scripts/sphinx-book-theme.js"></script>
+<script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
+<link href="genindex.html" rel="index" title="Index">
+<link href="search.html" rel="search" title="Search">
+<meta content="width=device-width, initial-scale=1" name="viewport"/>
+<meta content="en" name="docsearch:language"/>
+<!-- Google Analytics -->
+</link></link></link></link></link></link></head>
+<body data-offset="60" data-spy="scroll" data-target="#bd-toc-nav">
+<!-- Checkboxes to toggle the left sidebar -->
+<input aria-label="Toggle navigation sidebar" class="sidebar-toggle" id="__navigation" name="__navigation" type="checkbox"/>
+<label class="overlay overlay-navbar" for="__navigation">
+<div class="visually-hidden">Toggle navigation sidebar</div>
+</label>
+<!-- Checkboxes to toggle the in-page toc -->
+<input aria-label="Toggle in-page Table of Contents" class="sidebar-toggle" id="__page-toc" name="__page-toc" type="checkbox"/>
+<label class="overlay overlay-pagetoc" for="__page-toc">
+<div class="visually-hidden">Toggle in-page Table of Contents</div>
+</label>
+<!-- Headers at the top -->
+<div class="announcement header-item noprint"></div>
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+<div class="container-fluid" id="banner"></div>
+<div class="container-xl">
+<div class="row">
+<!-- Sidebar -->
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+</div>
+<!-- A tiny helper pixel to detect if we've scrolled -->
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+<!-- Main content -->
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+<div class="header-article row sticky-top noprint">
+<div class="col py-1 d-flex header-article-main">
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+</div>
+<div class="header-article__right">
+<button class="headerbtn" data-placement="bottom" data-toggle="tooltip" onclick="toggleFullScreen()" title="Fullscreen mode">
+<span class="headerbtn__icon-container">
+<i class="fas fa-expand"></i>
+</span>
+</button>
+<div class="menu-dropdown menu-dropdown-repository-buttons">
+<button aria-label="Source repositories" class="headerbtn menu-dropdown__trigger">
+<i class="fab fa-github"></i>
+</button>
+<div class="menu-dropdown__content">
+<ul>
+<li>
+<a class="headerbtn" data-placement="left" data-toggle="tooltip" href="https://github.com/mlrun/marketplace" title="Source repository">
+<span class="headerbtn__icon-container">
+<i class="fab fa-github"></i>
+</span>
+<span class="headerbtn__text-container">repository</span>
+</a>
+</li>
+<li>
+<a class="headerbtn" data-placement="left" data-toggle="tooltip" href="https://github.com/mlrun/marketplace/issues/new?title=Issue%20on%20page%20%2Ftranslate.html&amp;body=Your%20issue%20content%20here." title="Open an issue">
+<span class="headerbtn__icon-container">
+<i class="fas fa-lightbulb"></i>
+</span>
+<span class="headerbtn__text-container">open issue</span>
+</a>
+</li>
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+<label class="headerbtn headerbtn-page-toc" for="__page-toc">
+<span class="headerbtn__icon-container">
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+</span>
+</label>
+</div>
+</div>
+<!-- Table of contents -->
+<div class="col-md-3 bd-toc show noprint">
+<div class="tocsection onthispage pt-5 pb-3">
+<i class="fas fa-list"></i> Contents
+    </div>
+<nav aria-label="Page" id="bd-toc-nav">
+<ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#submodules">
+   Submodules
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#module-translate.translate">
+   translate.translate module
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#module-translate">
+   Module contents
+  </a>
+</li>
+</ul>
+</nav>
+</div>
+</div>
+<div class="article row">
+<div class="col pl-md-3 pl-lg-5 content-container">
+<!-- Table of contents that is only displayed when printing the page -->
+<div class="onlyprint" id="jb-print-docs-body">
+<h1>translate package</h1>
+<!-- Table of contents -->
+<div id="print-main-content">
+<div id="jb-print-toc">
+<div>
+<h2> Contents </h2>
+</div>
+<nav aria-label="Page">
+<ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#submodules">
+   Submodules
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#module-translate.translate">
+   translate.translate module
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#module-translate">
+   Module contents
+  </a>
+</li>
+</ul>
+</nav>
+</div>
+</div>
+</div>
+<main id="main-content" role="main">
+<div>
+<section id="translate-package">
+<h1>translate package<a class="headerlink" href="#translate-package" title="Permalink to this headline">#</a></h1>
+<section id="submodules">
+<h2>Submodules<a class="headerlink" href="#submodules" title="Permalink to this headline">#</a></h2>
+</section>
+<section id="module-translate.translate">
+<span id="translate-translate-module"></span><h2>translate.translate module<a class="headerlink" href="#module-translate.translate" title="Permalink to this headline">#</a></h2>
+<dl class="py function">
+<dt class="sig sig-object py" id="translate.translate.open_mpi_handler">
+<span class="sig-prename descclassname"><span class="pre">translate.translate.</span></span><span class="sig-name descname"><span class="pre">open_mpi_handler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">worker_inputs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">root_worker_inputs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="translate.html#open_mpi_handler"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#translate.translate.open_mpi_handler" title="Permalink to this definition">#</a></dt>
+<dd></dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="translate.translate.translate">
+<span class="sig-prename descclassname"><span class="pre">translate.translate.</span></span><span class="sig-name descname"><span class="pre">translate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span> </span><span class="pre">pathlib.Path</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_directory</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">source_language</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_language</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_kwargs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">translation_kwargs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> → <span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span> </span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span><a class="reference internal" href="translate.html#translate"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#translate.translate.translate" title="Permalink to this definition">#</a></dt>
+<dd><p>Translate text files using a transformer model from Huggingface’s hub according to the source and target languages
+given (or using the directly provided model name). The end result is a directory of translated text files and a
+dataframe containing the following columns:</p>
+<ul class="simple">
+<li><p>text_file - The text file path.</p></li>
+<li><p>translation_file - The translation text file name in the output directory.</p></li>
+</ul>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data_path</strong> – A directory of text files or a single file or a list of files to translate.</p></li>
+<li><p><strong>output_directory</strong> – Directory where the translated files will be saved.</p></li>
+<li><p><strong>model_name</strong> – The name of a model to load. If None, the model name is constructed using the source and
+target languages parameters.</p></li>
+<li><p><strong>source_language</strong> – The source language code (e.g., ‘en’ for English).</p></li>
+<li><p><strong>target_language</strong> – The target language code (e.g., ‘en’ for English).</p></li>
+<li><p><strong>model_kwargs</strong> – Keyword arguments to pass regarding the loading of the model in HuggingFace’s <cite>pipeline</cite>
+function.</p></li>
+<li><p><strong>device</strong> – The device index for transformers. Default will prefer cuda if available.</p></li>
+<li><p><strong>batch_size</strong> – The number of batches to use in translation. The files are translated one by one, but the
+sentences can be batched.</p></li>
+<li><p><strong>translation_kwargs</strong> – Additional keyword arguments to pass to a <cite>transformers.TranslationPipeline</cite> when doing
+the translation inference. Notice the batch size here is being added automatically.</p></li>
+<li><p><strong>verbose</strong> – Whether to present logs of a progress bar and errors. Default: True.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p><p>A tuple of:</p>
+<ul class="simple">
+<li><p>Path to the output directory.</p></li>
+<li><p>A dataframe dataset of the translated file names.</p></li>
+<li><p>A dictionary of errored files that were not translated.</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+</section>
+<section id="module-translate">
+<span id="module-contents"></span><h2>Module contents<a class="headerlink" href="#module-translate" title="Permalink to this headline">#</a></h2>
+</section>
+</section>
+</div>
+</main>
+<footer class="footer-article noprint">
+<!-- Previous / next buttons -->
+<div class="prev-next-area">
+</div>
+</footer>
+</div>
+</div>
+<div class="footer-content row">
+<footer class="col footer"><p>
+  
+      © Copyright .<br/>
+</p>
+</footer>
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+</div>
+</div>
+<!-- Scripts loaded after <body> so the DOM is not blocked -->
+<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf"></script>
+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/translate/0.1.0/static/example.html b/functions/master/translate/0.1.0/static/example.html
new file mode 100644
index 00000000..0476b66a
--- /dev/null
+++ b/functions/master/translate/0.1.0/static/example.html
@@ -0,0 +1,705 @@
+
+<!DOCTYPE html>
+
+<html lang="en">
+<head>
+<meta charset="utf-8"/>
+<meta content="width=device-width, initial-scale=1.0" name="viewport"/><meta content="Docutils 0.17.1: http://docutils.sourceforge.net/" name="generator"/>
+<title>Translate tutorial</title>
+<!-- Loaded before other Sphinx assets -->
+<link href="../../../_static/styles/theme.css?digest=1999514e3f237ded88cf" rel="stylesheet"/>
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+<link href="../../../_static/togglebutton.css" rel="stylesheet" type="text/css">
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+<meta content="width=device-width, initial-scale=1" name="viewport"/>
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+</label>
+<!-- Checkboxes to toggle the in-page toc -->
+<input aria-label="Toggle in-page Table of Contents" class="sidebar-toggle" id="__page-toc" name="__page-toc" type="checkbox"/>
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+<div class="visually-hidden">Toggle in-page Table of Contents</div>
+</label>
+<!-- Headers at the top -->
+<div class="announcement header-item noprint"></div>
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+<div class="row">
+<!-- Sidebar -->
+<div class="bd-sidebar noprint single-page" id="site-navigation">
+</div>
+<!-- A tiny helper pixel to detect if we've scrolled -->
+<div class="sbt-scroll-pixel-helper"></div>
+<!-- Main content -->
+<div class="col py-0 content-container">
+<div class="header-article row sticky-top noprint">
+<div class="col py-1 d-flex header-article-main">
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+</div>
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+<button class="headerbtn" data-placement="bottom" data-toggle="tooltip" onclick="toggleFullScreen()" title="Fullscreen mode">
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+<ul>
+<li>
+<a class="headerbtn" data-placement="left" data-toggle="tooltip" href="https://github.com/mlrun/marketplace" title="Source repository">
+<span class="headerbtn__icon-container">
+<i class="fab fa-github"></i>
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+<span class="headerbtn__text-container">repository</span>
+</a>
+</li>
+<li>
+<a class="headerbtn" data-placement="left" data-toggle="tooltip" href="https://github.com/mlrun/marketplace/issues/new?title=Issue%20on%20page%20%2Ftranslate_example.html&amp;body=Your%20issue%20content%20here." title="Open an issue">
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+</span>
+<span class="headerbtn__text-container">open issue</span>
+</a>
+</li>
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+<a class="headerbtn" data-placement="left" data-toggle="tooltip" href="https://github.com/mlrun/marketplace/edit/master/docs/translate_example.ipynb" title="Edit this page">
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+<i class="fas fa-pencil-alt"></i>
+</span>
+<span class="headerbtn__text-container">suggest edit</span>
+</a>
+</li>
+</ul>
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+<div class="menu-dropdown menu-dropdown-download-buttons">
+<button aria-label="Download this page" class="headerbtn menu-dropdown__trigger">
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+<a class="headerbtn" data-placement="left" data-toggle="tooltip" href="../src/translate.ipynb" title="Download source file">
+<span class="headerbtn__icon-container">
+<i class="fas fa-file"></i>
+</span>
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+<span class="headerbtn__icon-container">
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+<!-- Table of contents -->
+<div class="col-md-3 bd-toc show noprint">
+<div class="tocsection onthispage pt-5 pb-3">
+<i class="fas fa-list"></i> Contents
+    </div>
+<nav aria-label="Page" id="bd-toc-nav">
+<ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#short-description-and-explenation">
+   Short description and explenation
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#background">
+   Background
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#requirements">
+   Requirements
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#documentation">
+   Documentation
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#demo">
+   Demo
+  </a>
+<ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry">
+<a class="reference internal nav-link" href="#import-the-function-import-mlrun-set-project-and-import-function">
+     (1.) Import the function (import mlrun, set project and import function)
+    </a>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#usage">
+   Usage
+  </a>
+<ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry">
+<a class="reference internal nav-link" href="#manual-model-selection">
+     (2.1.) Manual model selection
+    </a>
+</li>
+<li class="toc-h3 nav-item toc-entry">
+<a class="reference internal nav-link" href="#auto-model-detectyion">
+     (2.1.) Auto model detectyion
+    </a>
+</li>
+<li class="toc-h3 nav-item toc-entry">
+<a class="reference internal nav-link" href="#review-results">
+     (3.) Review results
+    </a>
+</li>
+</ul>
+</li>
+</ul>
+</nav>
+</div>
+</div>
+<div class="article row">
+<div class="col pl-md-3 pl-lg-5 content-container">
+<!-- Table of contents that is only displayed when printing the page -->
+<div class="onlyprint" id="jb-print-docs-body">
+<h1>Translate tutorial</h1>
+<!-- Table of contents -->
+<div id="print-main-content">
+<div id="jb-print-toc">
+<div>
+<h2> Contents </h2>
+</div>
+<nav aria-label="Page">
+<ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#short-description-and-explenation">
+   Short description and explenation
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#background">
+   Background
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#requirements">
+   Requirements
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#documentation">
+   Documentation
+  </a>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#demo">
+   Demo
+  </a>
+<ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry">
+<a class="reference internal nav-link" href="#import-the-function-import-mlrun-set-project-and-import-function">
+     (1.) Import the function (import mlrun, set project and import function)
+    </a>
+</li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry">
+<a class="reference internal nav-link" href="#usage">
+   Usage
+  </a>
+<ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry">
+<a class="reference internal nav-link" href="#manual-model-selection">
+     (2.1.) Manual model selection
+    </a>
+</li>
+<li class="toc-h3 nav-item toc-entry">
+<a class="reference internal nav-link" href="#auto-model-detectyion">
+     (2.1.) Auto model detectyion
+    </a>
+</li>
+<li class="toc-h3 nav-item toc-entry">
+<a class="reference internal nav-link" href="#review-results">
+     (3.) Review results
+    </a>
+</li>
+</ul>
+</li>
+</ul>
+</nav>
+</div>
+</div>
+</div>
+<main id="main-content" role="main">
+<div>
+<section id="translate-tutorial">
+<h1>Translate tutorial<a class="headerlink" href="#translate-tutorial" title="Permalink to this headline">#</a></h1>
+<section id="short-description-and-explenation">
+<h2>Short description and explenation<a class="headerlink" href="#short-description-and-explenation" title="Permalink to this headline">#</a></h2>
+<p>Machine translation has made huge strides in recent years thanks to advances in deep learning, our translte function makes it even easier to use. <br/>
+Simply tell it where your file is and the languages you’re working with (the one you’re translating from and the one you want),<br/>
+and this function takes care of the rest. It cleverly picks the right pre-trained model for your language pair, ensuring top-notch translations.<br/></p>
+<p>No need to worry about finding the perfect model or dealing with complex setup – it’s all handled behind the scenes.<br/></p>
+<p>With this function, language translation becomes a breeze, making your documents accessible in any language without breaking a sweat.</p>
+</section>
+<section id="background">
+<h2>Background<a class="headerlink" href="#background" title="Permalink to this headline">#</a></h2>
+<p>The function takes two parameters: a model name or the source and target languages, and a path to one or more text files to translate.</p>
+<p>It first checks if a model name was passed. If so, it loads that Helsinki-NLP model.<br/>
+If not, it looks at the source and target languages and loads the appropriate Helsinki-NLP translation model.</p>
+<p>It then reads in the text files and translates them using the loaded model.</p>
+<p>Finally, it writes the translated text out to new files and returns the filename or dir name. <br/></p>
+<p>This allows the user to easily translate a text file to another language using Helsinki-NLP’s pre-trained models by just passing the model name or language pair and source text file.<br/></p>
+<p>This function auto-model selection is based on the great translation models offered by Helsinki. Check them out https://huggingface.co/Helsinki-NLP</p>
+</section>
+<section id="requirements">
+<h2>Requirements<a class="headerlink" href="#requirements" title="Permalink to this headline">#</a></h2>
+<p><code class="docutils literal notranslate"><span class="pre">transformers</span></code> <br/>
+<code class="docutils literal notranslate"><span class="pre">tqdm</span></code> <br/></p>
+</section>
+<section id="documentation">
+<h2>Documentation<a class="headerlink" href="#documentation" title="Permalink to this headline">#</a></h2>
+<p><code class="docutils literal notranslate"><span class="pre">data_path</span></code>:          A directory of text files or a single text file or a list of files to translate.</p>
+<p><code class="docutils literal notranslate"><span class="pre">output_directory</span></code>:   Directory where the translated files will be saved.</p>
+<p><code class="docutils literal notranslate"><span class="pre">model_name</span></code>:         The name of a model to load. If None, the model name is constructed using the source and<br/>
+target languages parameters from the “Helsinki-NLP” group.</p>
+<p><code class="docutils literal notranslate"><span class="pre">source_language</span></code>:    The source language code (e.g., ‘en’ for English).</p>
+<p><code class="docutils literal notranslate"><span class="pre">target_language</span></code>:    The target language code (e.g., ‘en’ for English).</p>
+<p><code class="docutils literal notranslate"><span class="pre">model_kwargs</span></code>:       Keyword arguments to pass regarding the loading of the model in HuggingFace’s “pipeline”
+function.</p>
+<p><code class="docutils literal notranslate"><span class="pre">device</span></code>:             The device index for transformers. Default will prefer cuda if available.</p>
+<p><code class="docutils literal notranslate"><span class="pre">batch_size</span></code>:         The number of batches to use in translation. The files are translated one by one, but the
+sentences can be batched.</p>
+<p><code class="docutils literal notranslate"><span class="pre">translation_kwargs</span></code>: Additional keyword arguments to pass to a “transformers.TranslationPipeline” when doing<br/>
+the translation inference. Notice the batch size here is being added automatically.</p>
+</section>
+<section id="demo">
+<h2>Demo<a class="headerlink" href="#demo" title="Permalink to this headline">#</a></h2>
+<p>The following demo will show an example of translating a text file written in turkish to eanglish using the <em>tranlate</em> function. <br/></p>
+<section id="import-the-function-import-mlrun-set-project-and-import-function">
+<h3>(1.) Import the function (import mlrun, set project and import function)<a class="headerlink" href="#import-the-function-import-mlrun-set-project-and-import-function" title="Permalink to this headline">#</a></h3>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">mlrun</span>
+</pre></div>
+</div>
+</div>
+</div>
+<p>We want to translate the following turkish sentence into english, so we will write it to a text file.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="o">%%writefile</span> data.txt
+<span class="n">Ali</span> <span class="n">her</span> <span class="n">gece</span> <span class="n">bir</span> <span class="n">kitap</span> <span class="n">okur</span><span class="o">.</span> <span class="c1"># which means: "Ali reads a book every night."</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Writing data.txt
+</pre></div>
+</div>
+</div>
+</div>
+<p>Setting a project and importing the translate function</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">project</span> <span class="o">=</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">new_project</span><span class="p">(</span><span class="s2">"test-translate"</span><span class="p">)</span>
+<span class="n">translate_fn</span> <span class="o">=</span> <span class="n">project</span><span class="o">.</span><span class="n">set_function</span><span class="p">(</span><span class="s2">"hub://translate"</span><span class="p">,</span> <span class="s2">"translate"</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&gt; 2023-12-06 14:44:05,223 [info] Created and saved project: {'name': 'test-translate', 'from_template': None, 'overwrite': False, 'context': './', 'save': True}
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+</section>
+<section id="usage">
+<h2>Usage<a class="headerlink" href="#usage" title="Permalink to this headline">#</a></h2>
+<section id="manual-model-selection">
+<h3>(2.1.) Manual model selection<a class="headerlink" href="#manual-model-selection" title="Permalink to this headline">#</a></h3>
+<p>Here we run our function that we’ve imported from the MLRun Function Hub. <br/>
+We select the specific model, give the function a path to to the file and output directory and choose to run on the cpu.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">translate_run</span> <span class="o">=</span> <span class="n">translate_fn</span><span class="o">.</span><span class="n">run</span><span class="p">(</span>
+    <span class="n">handler</span><span class="o">=</span><span class="s2">"translate"</span><span class="p">,</span>
+    <span class="n">inputs</span><span class="o">=</span><span class="p">{</span><span class="s2">"data_path"</span><span class="p">:</span> <span class="s2">"data.txt"</span><span class="p">},</span>
+    <span class="n">params</span><span class="o">=</span><span class="p">{</span>
+        <span class="s2">"model_name"</span><span class="p">:</span> <span class="s2">"Helsinki-NLP/opus-mt-tr-en"</span><span class="p">,</span>
+        <span class="s2">"device"</span><span class="p">:</span> <span class="s2">"cpu"</span><span class="p">,</span>
+        <span class="s2">"output_directory"</span><span class="p">:</span> <span class="s2">"./"</span><span class="p">,</span>
+    <span class="p">},</span>
+    <span class="n">local</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+    <span class="n">returns</span><span class="o">=</span><span class="p">[</span>
+        <span class="s2">"files: path"</span><span class="p">,</span>
+        <span class="s2">"text_files_dataframe: dataset"</span><span class="p">,</span>
+        <span class="s2">"errors: dict"</span><span class="p">,</span>
+    <span class="p">],</span>
+<span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&gt; 2023-12-06 14:48:52,794 [info] Storing function: {'name': 'translate-translate', 'uid': '5768d0ddaf06469da053c85d47f61a47', 'db': 'http://mlrun-api:8080'}
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Recommended: pip install sacremoses.
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&gt; 2023-12-06 14:48:56,190 [warning] Skipping logging an object with the log hint '{'key': 'errors', 'artifact_type': 'dict'}' due to the following error:
+An exception was raised during the packing of '{}': No packager was found for the combination of 'object_type=builtins.dict' and 'artifact_type=dict'.
+</pre></div>
+</div>
+<div class="output text_html"><style>
+.dictlist {
+  background-color: #4EC64B;
+  text-align: center;
+  margin: 4px;
+  border-radius: 3px; padding: 0px 3px 1px 3px; display: inline-block;}
+.artifact {
+  cursor: pointer;
+  background-color: #4EC64B;
+  text-align: left;
+  margin: 4px; border-radius: 3px; padding: 0px 3px 1px 3px; display: inline-block;
+}
+div.block.hidden {
+  display: none;
+}
+.clickable {
+  cursor: pointer;
+}
+.ellipsis {
+  display: inline-block;
+  max-width: 60px;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+}
+.master-wrapper {
+  display: flex;
+  flex-flow: row nowrap;
+  justify-content: flex-start;
+  align-items: stretch;
+}
+.master-tbl {
+  flex: 3
+}
+.master-wrapper > div {
+  margin: 4px;
+  padding: 10px;
+}
+iframe.fileview {
+  border: 0 none;
+  height: 100%;
+  width: 100%;
+  white-space: pre-wrap;
+}
+.pane-header-title {
+  width: 80%;
+  font-weight: 500;
+}
+.pane-header {
+  line-height: 1;
+  background-color: #4EC64B;
+  padding: 3px;
+}
+.pane-header .close {
+  font-size: 20px;
+  font-weight: 700;
+  float: right;
+  margin-top: -5px;
+}
+.master-wrapper .right-pane {
+  border: 1px inset silver;
+  width: 40%;
+  min-height: 300px;
+  flex: 3
+  min-width: 500px;
+}
+.master-wrapper * {
+  box-sizing: border-box;
+}
+</style><script>
+function copyToClipboard(fld) {
+    if (document.queryCommandSupported && document.queryCommandSupported('copy')) {
+        var textarea = document.createElement('textarea');
+        textarea.textContent = fld.innerHTML;
+        textarea.style.position = 'fixed';
+        document.body.appendChild(textarea);
+        textarea.select();
+
+        try {
+            return document.execCommand('copy'); // Security exception may be thrown by some browsers.
+        } catch (ex) {
+
+        } finally {
+            document.body.removeChild(textarea);
+        }
+    }
+}
+function expandPanel(el) {
+  const panelName = "#" + el.getAttribute('paneName');
+  console.log(el.title);
+
+  document.querySelector(panelName + "-title").innerHTML = el.title
+  iframe = document.querySelector(panelName + "-body");
+
+  const tblcss = `<style> body { font-family: Arial, Helvetica, sans-serif;}
+    #csv { margin-bottom: 15px; }
+    #csv table { border-collapse: collapse;}
+    #csv table td { padding: 4px 8px; border: 1px solid silver;} </style>`;
+
+  function csvToHtmlTable(str) {
+    return '<div id="csv"><table><tr><td>' +  str.replace(/[\n\r]+$/g, '').replace(/[\n\r]+/g, '</td></tr><tr><td>')
+      .replace(/,/g, '</td><td>') + '</td></tr></table></div>';
+  }
+
+  function reqListener () {
+    if (el.title.endsWith(".csv")) {
+      iframe.setAttribute("srcdoc", tblcss + csvToHtmlTable(this.responseText));
+    } else {
+      iframe.setAttribute("srcdoc", this.responseText);
+    }
+    console.log(this.responseText);
+  }
+
+  const oReq = new XMLHttpRequest();
+  oReq.addEventListener("load", reqListener);
+  oReq.open("GET", el.title);
+  oReq.send();
+
+
+  //iframe.src = el.title;
+  const resultPane = document.querySelector(panelName + "-pane");
+  if (resultPane.classList.contains("hidden")) {
+    resultPane.classList.remove("hidden");
+  }
+}
+function closePanel(el) {
+  const panelName = "#" + el.getAttribute('paneName')
+  const resultPane = document.querySelector(panelName + "-pane");
+  if (!resultPane.classList.contains("hidden")) {
+    resultPane.classList.add("hidden");
+  }
+}
+
+</script>
+<div class="master-wrapper">
+<div class="block master-tbl"><div>
+<style scoped="">
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+<thead>
+<tr style="text-align: right;">
+<th>project</th>
+<th>uid</th>
+<th>iter</th>
+<th>start</th>
+<th>state</th>
+<th>name</th>
+<th>labels</th>
+<th>inputs</th>
+<th>parameters</th>
+<th>results</th>
+<th>artifacts</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td>test-translate</td>
+<td><div title="5768d0ddaf06469da053c85d47f61a47"><a href="https://dashboard.default-tenant.app.llm2.iguazio-cd0.com/mlprojects/test-translate/jobs/monitor/5768d0ddaf06469da053c85d47f61a47/overview" target="_blank">...47f61a47</a></div></td>
+<td>0</td>
+<td>Dec 06 14:48:52</td>
+<td>completed</td>
+<td>translate-translate</td>
+<td><div class="dictlist">v3io_user=yonis</div><div class="dictlist">kind=local</div><div class="dictlist">owner=yonis</div><div class="dictlist">host=jupyter-yonis-7c9bdbfb4d-9g2p2</div></td>
+<td><div class="artifact" onclick="expandPanel(this)" panename="resulta746a04e" title="/files/translate/data.txt">data_path</div></td>
+<td><div class="dictlist">model_name=Helsinki-NLP/opus-mt-tr-en</div><div class="dictlist">device=cpu</div><div class="dictlist">output_directory=./</div></td>
+<td></td>
+<td><div title="v3io:///projects/test-translate/artifacts/translate-translate/0/files">files</div><div title="v3io:///projects/test-translate/artifacts/translate-translate/0/text_files_dataframe.parquet">text_files_dataframe</div></td>
+</tr>
+</tbody>
+</table>
+</div></div>
+<div class="right-pane block hidden" id="resulta746a04e-pane">
+<div class="pane-header">
+<span class="pane-header-title" id="resulta746a04e-title">Title</span>
+<span class="close clickable" onclick="closePanel(this)" panename="resulta746a04e">×</span>
+</div>
+<iframe class="fileview" id="resulta746a04e-body"></iframe>
+</div>
+</div>
+</div><div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+<div class="output text_html"><b> &gt; to track results use the .show() or .logs() methods  or <a href="https://dashboard.default-tenant.app.llm2.iguazio-cd0.com/mlprojects/test-translate/jobs/monitor/5768d0ddaf06469da053c85d47f61a47/overview" target="_blank">click here</a> to open in UI</b></div><div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&gt; 2023-12-06 14:48:56,409 [info] Run execution finished: {'status': 'completed', 'name': 'translate-translate'}
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+<section id="auto-model-detectyion">
+<h3>(2.1.) Auto model detectyion<a class="headerlink" href="#auto-model-detectyion" title="Permalink to this headline">#</a></h3>
+<p>Here we run our function that we’ve imported from the MLRun Function Hub. <br/>
+We select the languages to use for choosing the model, give the function a path to to the file and output directory and choose to run on the cpu.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">translate_run</span> <span class="o">=</span> <span class="n">translate_fn</span><span class="o">.</span><span class="n">run</span><span class="p">(</span>
+    <span class="n">handler</span><span class="o">=</span><span class="s2">"translate"</span><span class="p">,</span>
+    <span class="n">inputs</span><span class="o">=</span><span class="p">{</span><span class="s2">"data_path"</span><span class="p">:</span> <span class="s2">"data.txt"</span><span class="p">},</span>
+    <span class="n">params</span><span class="o">=</span><span class="p">{</span>
+        <span class="s2">"target_language"</span><span class="p">:</span> <span class="s2">"en"</span><span class="p">,</span>
+        <span class="s2">"source_language"</span><span class="p">:</span> <span class="s2">"tr"</span><span class="p">,</span>
+        <span class="s2">"device"</span><span class="p">:</span> <span class="s2">"cpu"</span><span class="p">,</span>
+        <span class="s2">"output_directory"</span><span class="p">:</span> <span class="s2">"./"</span><span class="p">,</span>
+    <span class="p">},</span>
+    <span class="n">local</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+    <span class="n">returns</span><span class="o">=</span><span class="p">[</span>
+        <span class="s2">"files: path"</span><span class="p">,</span>
+        <span class="s2">"text_files_dataframe: dataset"</span><span class="p">,</span>
+        <span class="s2">"errors: dict"</span><span class="p">,</span>
+    <span class="p">],</span>
+<span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+<p>We can take alook at the file created</p>
+</section>
+<section id="review-results">
+<h3>(3.) Review results<a class="headerlink" href="#review-results" title="Permalink to this headline">#</a></h3>
+<p>We can look at the articat returned, the import</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">translate_run</span><span class="o">.</span><span class="n">artifact</span><span class="p">(</span><span class="s2">"text_files_dataframe"</span><span class="p">)</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output text_html"><div>
+<style scoped="">
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>text_file</th>
+<th>translation_file</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>0</th>
+<td>data.txt</td>
+<td>data_2.txt</td>
+</tr>
+</tbody>
+</table>
+</div></div></div>
+</div>
+<p>Checking that translation is correct, we print the text file created by function, and can see the sentence is as expected.</p>
+<div class="cell docutils container">
+<div class="cell_input docutils container">
+<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="s2">"data_2.txt"</span><span class="p">,</span> <span class="s2">"r"</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+    <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Translated text:</span><span class="se">\n</span><span class="si">{</span><span class="n">f</span><span class="o">.</span><span class="n">read</span><span class="p">()</span><span class="si">}</span><span class="s2">"</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Translated text:
+Ali reads a book every night.
+</pre></div>
+</div>
+</div>
+</div>
+</section>
+</section>
+</section>
+</div>
+</main>
+<footer class="footer-article noprint">
+<!-- Previous / next buttons -->
+<div class="prev-next-area">
+</div>
+</footer>
+</div>
+</div>
+<div class="footer-content row">
+<footer class="col footer"><p>
+  
+      © Copyright .<br>
+</br></p>
+</footer>
+</div>
+</div>
+</div>
+</div>
+<!-- Scripts loaded after <body> so the DOM is not blocked -->
+<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf"></script>
+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/translate/0.1.0/static/function.html b/functions/master/translate/0.1.0/static/function.html
new file mode 100644
index 00000000..9103bffc
--- /dev/null
+++ b/functions/master/translate/0.1.0/static/function.html
@@ -0,0 +1,157 @@
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta content="IE=edge" http-equiv="X-UA-Compatible">
+    <meta content="width=device-width, initial-scale=1.0" name="viewport">
+    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/styles/atom-one-dark.min.css">
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/highlight.min.js"></script>
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/languages/yaml.min.js"></script>
+    <title>Source</title>
+    <script>hljs.highlightAll();</script>
+</head>
+
+<body style="background-color:darkgray; margin: 0 0 0 0;">
+    <pre style="margin: 0 1em;">
+        <code class="yaml">
+kind: job
+metadata:
+  name: translate
+  tag: ''
+  hash: 7eedf684bcebfbfd964e5503afbb56335c8f4097
+  project: ''
+  labels:
+    author: guyl
+  categories:
+  - data-preparation
+  - huggingface
+  - machine-learning
+  - deep-learning
+  - NLP
+spec:
+  command: ''
+  args: []
+  image: ''
+  build:
+    functionSourceCode: # Copyright 2023 Iguazio
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import logging
import operator
import pathlib
from functools import reduce, wraps
from typing import Any, Dict, List, Tuple, Union

import pandas as pd
import transformers
from tqdm import tqdm

# Get the global logger:
_LOGGER = logging.getLogger()


def _check_mlrun_and_open_mpi() -> Tuple["mlrun.MLClientCtx", "mpi4py.MPI.Intracomm"]:
    is_mpi = False
    try:
        import mlrun

        context = mlrun.get_or_create_ctx(name="mlrun")
        is_mpi = context.labels.get("kind", "job") == "mpijob"

        if is_mpi:
            try:
                from mpi4py import MPI

                return context, MPI.COMM_WORLD
            except ModuleNotFoundError as mpi4py_not_found:
                context.logger.error(
                    "To distribute the function using MLRun's 'mpijob' you need to have `mpi4py` package in your "
                    "interpreter. Please run `pip install mpi4py` and make sure you have open-mpi."
                )
                raise mpi4py_not_found
        else:
            return context, None
    except ModuleNotFoundError as module_not_found:
        if is_mpi:
            raise module_not_found
    return None, None


def open_mpi_handler(
    worker_inputs: List[str], root_worker_inputs: Dict[str, Any] = None
):
    global _LOGGER

    # Check for MLRun and OpenMPI availability:
    context, comm = _check_mlrun_and_open_mpi()

    # Check if MLRun is available, set the global logger to MLRun's:
    if context:
        _LOGGER = context.logger

    def decorator(handler):
        if comm is None or comm.Get_size() == 1:
            return handler

        @wraps(handler)
        def wrapper(**kwargs):
            # Get the open mpi environment properties:
            size = comm.Get_size()
            rank = comm.Get_rank()

            # Give the correct chunk of the workers inputs:
            for worker_input in worker_inputs:
                input_argument = kwargs[worker_input]
                if input_argument is None:
                    continue
                if isinstance(input_argument, (str, pathlib.Path)):
                    input_argument = _get_text_files(
                        data_path=pathlib.Path(input_argument).absolute()
                    )
                if len(input_argument) < size:
                    raise ValueError(
                        f"Cannot split the input '{worker_input}' of length {len(input_argument)} to {size} workers. "
                        f"Please reduce the amount of workers for this input."
                    )
                even_chunk_size = len(input_argument) // size
                chunk_start = rank * even_chunk_size
                chunk_end = (
                    (rank + 1) * even_chunk_size
                    if rank + 1 < size
                    else len(input_argument)
                )
                context.logger.info(
                    f"Rank #{rank}: Processing input chunk of '{worker_input}' "
                    f"from index {chunk_start} to {chunk_end}."
                )
                if isinstance(input_argument, list):
                    input_argument = input_argument[chunk_start:chunk_end]
                elif isinstance(input_argument, pd.DataFrame):
                    input_argument = input_argument.iloc[chunk_start:chunk_end:, :]
                kwargs[worker_input] = input_argument

            # Set the root worker only arguments:
            if rank == 0 and root_worker_inputs:
                kwargs.update(root_worker_inputs)

            # Run the worker:
            output = handler(**kwargs)

            # Send the output to the root rank (rank #0):
            output = comm.gather(output, root=0)
            if rank == 0:
                # Join the outputs:
                context.logger.info("Collecting data from workers to root worker.")
                output_directory = output[0][0]
                dataframe = pd.concat(objs=[df for _, df, _ in output], axis=0)
                errors_dictionary = reduce(
                    operator.ior, [err for _, _, err in output], {}
                )
                return output_directory, dataframe, errors_dictionary
            return None

        return wrapper

    return decorator


@open_mpi_handler(worker_inputs=["data_path"], root_worker_inputs={"verbose": True})
def translate(
    data_path: Union[str, List[str], pathlib.Path],
    output_directory: str,
    model_name: str = None,
    source_language: str = None,
    target_language: str = None,
    device: str = None,
    model_kwargs: dict = None,
    batch_size: int = 1,
    translation_kwargs: dict = None,
    verbose: bool = False,
) -> Tuple[str, pd.DataFrame, dict]:
    """
    Translate text files using a transformer model from Huggingface's hub according to the source and target languages
    given (or using the directly provided model name). The end result is a directory of translated text files and a
    dataframe containing the following columns:

    * text_file - The text file path.
    * translation_file - The translation text file name in the output directory.

    :param data_path:          A directory of text files or a single file or a list of files to translate.
    :param output_directory:   Directory where the translated files will be saved.
    :param model_name:         The name of a model to load. If None, the model name is constructed using the source and
                               target languages parameters.
    :param source_language:    The source language code (e.g., 'en' for English).
    :param target_language:    The target language code (e.g., 'en' for English).
    :param model_kwargs:       Keyword arguments to pass regarding the loading of the model in HuggingFace's `pipeline`
                               function.
    :param device:             The device index for transformers. Default will prefer cuda if available.
    :param batch_size:         The number of batches to use in translation. The files are translated one by one, but the
                               sentences can be batched.
    :param translation_kwargs: Additional keyword arguments to pass to a `transformers.TranslationPipeline` when doing
                               the translation inference. Notice the batch size here is being added automatically.
    :param verbose:            Whether to present logs of a progress bar and errors. Default: True.

    :returns: A tuple of:

              * Path to the output directory.
              * A dataframe dataset of the translated file names.
              * A dictionary of errored files that were not translated.
    """
    global _LOGGER

    # Get the input text files to translate:
    if verbose:
        _LOGGER.info("Collecting text files.")
    if isinstance(data_path, str):
        data_path = pathlib.Path(data_path).absolute()
        text_files = _get_text_files(data_path=data_path)
    else:
        text_files = data_path
    if verbose:
        _LOGGER.info(f"Collected {len(text_files)} text files.")

    # Get the translation pipeline:
    if verbose:
        _LOGGER.info(f"Loading model - using device '{device}'.")
    translation_pipeline, model_name = _get_translation_pipeline(
        model_name=model_name,
        source_language=source_language,
        target_language=target_language,
        device=device,
        model_kwargs=model_kwargs,
        batch_size=batch_size if batch_size != 1 else None,
    )
    if verbose:
        _LOGGER.info(f"Model '{model_name}' was loaded successfully.")

    # Prepare the successes dataframe and errors dictionary to be returned:
    successes = []
    errors = {}

    # Create the output directory:
    output_directory = pathlib.Path(output_directory)
    output_directory.mkdir(parents=True, exist_ok=True)

    # Prepare the translation keyword arguments:
    translation_kwargs = translation_kwargs or {}

    # Go over the audio files and transcribe:
    for text_file in tqdm(
        text_files, desc="Translating", unit="file", disable=not verbose
    ):
        try:
            # Translate:
            translation = _translate(
                text_file=text_file,
                translation_pipeline=translation_pipeline,
                translation_kwargs=translation_kwargs,
            )
            # Write the transcription to file:
            translation_file = _save_to_file(
                translation=translation,
                file_name=text_file.stem,
                output_directory=output_directory,
            )
            # Note as a success in the list:
            successes.append(
                [
                    text_file.name,
                    translation_file.name,
                ]
            )
        except Exception as exception:
            # Note the exception as error in the dictionary:
            if verbose:
                _LOGGER.warning(f"Error in file: '{text_file.name}'")
            errors[str(text_file.name)] = str(exception)
            continue

    # Construct the translations dataframe:
    columns = [
        "text_file",
        "translation_file",
    ]
    successes = pd.DataFrame(
        successes,
        columns=columns,
    )

    # Print the head of the produced dataframe and return:
    if verbose:
        _LOGGER.info(
            f"Done ({successes.shape[0]}/{len(text_files)})\n"
            f"Translations summary:\n"
            f"{successes.head()}"
        )
    return str(output_directory), successes, errors


def _get_text_files(
    data_path: pathlib.Path,
) -> List[pathlib.Path]:
    # Check if the path is of a directory or a file:
    if data_path.is_dir():
        # Get all files inside the directory:
        text_files = list(data_path.glob("*.*"))
    elif data_path.is_file():
        text_files = [data_path]
    else:
        raise ValueError(
            f"Unrecognized data path. The parameter `data_path` must be either a directory path or a file path. "
            f"Given: {str(data_path)} "
        )

    return text_files


def _get_translation_pipeline(
    model_name: str = None,
    source_language: str = None,
    target_language: str = None,
    device: str = None,
    model_kwargs: dict = None,
    batch_size: int = None,
) -> Tuple[transformers.Pipeline, str]:
    # Construct the model name - if model name is provided (not None) then we take it, otherwise we check both source
    # and target were provided to construct the model name:
    if model_name is None and (source_language is None or target_language is None):
        raise ValueError(
            "No model name were given and missing source and / or target languages. In order to translate you must "
            "pass a `model_name` or both `source_language` and `target_language`."
        )
    elif model_name is None:
        model_name = f"Helsinki-NLP/opus-mt-{source_language}-{target_language}"

    # Initialize the translation pipeline:
    try:
        translation_pipeline = transformers.pipeline(
            task="translation",
            model=model_name,
            tokenizer=model_name,
            device=device,
            model_kwargs=model_kwargs,
            batch_size=batch_size,
        )
    except OSError as load_exception:
        if (
            "is not a valid model identifier listed on 'https://huggingface.co/models'"
            in str(load_exception)
            and source_language
        ):
            raise ValueError(
                f"The model '{model_name}' is not a valid model identifier. "
                f"The parameters `source_language` and `target_language` are used to construct a Helsinki model for "
                f"text to text generation, but the model created from the given languages does not exist. "
                f"You may check language identifiers at "
                f"https://developers.google.com/admin-sdk/directory/v1/languages, and if the error was not fixed, one "
                f"or more language code might be with 3 letters and needs to be found online. "
                f"Remember, you can always choose a model directly from the Huggingface hub by using the `model_name` "
                f"parameter."
            ) from load_exception
        raise load_exception

    return translation_pipeline, model_name


def _translate(
    text_file: pathlib.Path,
    translation_pipeline: transformers.Pipeline,
    translation_kwargs: dict,
) -> str:
    # Read the text from file:
    with open(text_file, "r") as fp:
        text = fp.read()

    # Split to paragraphs and each paragraph to sentences:
    paragraphs = [paragraph.split(".") for paragraph in text.split("\n")]

    # Discover the newline indexes to restore the file to its structure post translation:
    newlines_indexes = []
    for paragraph in paragraphs[:-1]:
        if len(newlines_indexes) == 0:
            newlines_indexes.append(len(paragraph) - 1)
        else:
            newlines_indexes.append(newlines_indexes[-1] + len(paragraph))

    # Prepare the batches (each sentence from the paragraphs). Notice we add a dot not only to restore the sentence
    # structure but to ignore empty strings as it will ruin the translation:
    sentences = [f"{line}." for paragraph in paragraphs for line in paragraph]

    # Translate the sentences:
    translations = translation_pipeline(sentences, **translation_kwargs)

    # Restructure the full text from the sentences:
    translated_text = []
    newline_index = newlines_indexes.pop(0) if newlines_indexes else None
    for i, translation in enumerate(translations):
        # Get the translation:
        text = translation["translation_text"]
        # Validate if it was an empty sentence before:
        if text == ".":
            text = ""
        # Check if needed to insert a newline:
        if newline_index and newline_index == i:
            text += "\n"
            newline_index = newlines_indexes.pop(0) if newlines_indexes else None
        # Collect it:
        translated_text.append(text)
    translated_text = "".join(translated_text)

    return translated_text


def _save_to_file(
    translation: str, file_name: str, output_directory: pathlib.Path
) -> pathlib.Path:
    # Prepare the file full path (checking for no duplications):
    translation_file = output_directory / f"{file_name}.txt"
    i = 1
    while translation_file.exists():
        i += 1
        translation_file = output_directory / f"{file_name}_{i}.txt"

    # Make sure all directories are created:
    translation_file.parent.mkdir(exist_ok=True, parents=True)

    # Write to file:
    with open(translation_file, "w") as fp:
        fp.write(translation)

    return translation_file

+    base_image: mlrun/mlrun
+    commands: []
+    code_origin: ''
+    origin_filename: ''
+    requirements:
+    - transformers
+    - sentencepiece
+    - torch
+    - tqdm
+  entry_points:
+    open_mpi_handler:
+      name: open_mpi_handler
+      doc: ''
+      parameters:
+      - name: worker_inputs
+        type: List[str]
+      - name: root_worker_inputs
+        type: Dict[str, Any]
+        default: null
+      outputs: []
+      lineno: 56
+      has_varargs: false
+      has_kwargs: false
+    decorator:
+      name: decorator
+      doc: ''
+      parameters:
+      - name: handler
+      outputs: []
+      lineno: 68
+      has_varargs: false
+      has_kwargs: false
+    wrapper:
+      name: wrapper
+      doc: ''
+      parameters: []
+      outputs: []
+      lineno: 73
+      has_varargs: false
+      has_kwargs: true
+    translate:
+      name: translate
+      doc: 'Translate text files using a transformer model from Huggingface''s hub
+        according to the source and target languages
+
+        given (or using the directly provided model name). The end result is a directory
+        of translated text files and a
+
+        dataframe containing the following columns:
+
+
+        * text_file - The text file path.
+
+        * translation_file - The translation text file name in the output directory.'
+      parameters:
+      - name: data_path
+        type: Union[str, List[str], Path]
+        doc: A directory of text files or a single file or a list of files to translate.
+      - name: output_directory
+        type: str
+        doc: Directory where the translated files will be saved.
+      - name: model_name
+        type: str
+        doc: The name of a model to load. If None, the model name is constructed using
+          the source and target languages parameters.
+        default: null
+      - name: source_language
+        type: str
+        doc: The source language code (e.g., 'en' for English).
+        default: null
+      - name: target_language
+        type: str
+        doc: The target language code (e.g., 'en' for English).
+        default: null
+      - name: device
+        type: str
+        doc: The device index for transformers. Default will prefer cuda if available.
+        default: null
+      - name: model_kwargs
+        type: dict
+        doc: Keyword arguments to pass regarding the loading of the model in HuggingFace's
+          `pipeline` function.
+        default: null
+      - name: batch_size
+        type: int
+        doc: The number of batches to use in translation. The files are translated
+          one by one, but the sentences can be batched.
+        default: 1
+      - name: translation_kwargs
+        type: dict
+        doc: Additional keyword arguments to pass to a `transformers.TranslationPipeline`
+          when doing the translation inference. Notice the batch size here is being
+          added automatically.
+        default: null
+      - name: verbose
+        type: bool
+        doc: 'Whether to present logs of a progress bar and errors. Default: True.'
+        default: false
+      outputs:
+      - doc: 'A tuple of:'
+        type: Tuple[str, pd.DataFrame, dict]
+      lineno: 135
+      has_varargs: false
+      has_kwargs: false
+  description: Translate text files from one language to another
+  default_handler: translate
+  disable_auto_mount: false
+  clone_target_dir: ''
+  env: []
+  priority_class_name: ''
+  preemption_mode: prevent
+  affinity: null
+  tolerations: null
+  security_context: {}
+verbose: false
+
+        </code>
+    </pre>
+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/translate/0.1.0/static/item.html b/functions/master/translate/0.1.0/static/item.html
new file mode 100644
index 00000000..2f9e9d57
--- /dev/null
+++ b/functions/master/translate/0.1.0/static/item.html
@@ -0,0 +1,55 @@
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta content="IE=edge" http-equiv="X-UA-Compatible">
+    <meta content="width=device-width, initial-scale=1.0" name="viewport">
+    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/styles/atom-one-dark.min.css">
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/highlight.min.js"></script>
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/languages/yaml.min.js"></script>
+    <title>Source</title>
+    <script>hljs.highlightAll();</script>
+</head>
+
+<body style="background-color:darkgray; margin: 0 0 0 0;">
+    <pre style="margin: 0 1em;">
+        <code class="yaml">
+apiVersion: v1
+categories:
+- data-preparation
+- huggingface
+- machine-learning
+- deep-learning
+- NLP
+description: Translate text files from one language to another
+doc: ''
+example: translate.ipynb
+generationDate: 2023-12-05:17-20
+hidden: false
+icon: ''
+labels:
+  author: guyl
+maintainers: []
+marketplaceType: ''
+mlrunVersion: 1.5.1
+name: translate
+platformVersion: 3.5.3
+spec:
+  filename: translate.py
+  handler: translate
+  image: mlrun/mlrun
+  kind: job
+  requirements:
+    - transformers
+    - sentencepiece
+    - torch
+    - tqdm
+url: ''
+version: 0.1.0
+test_valid: True
+
+        </code>
+    </pre>
+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/translate/0.1.0/static/source.html b/functions/master/translate/0.1.0/static/source.html
new file mode 100644
index 00000000..d50569d4
--- /dev/null
+++ b/functions/master/translate/0.1.0/static/source.html
@@ -0,0 +1,418 @@
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta content="IE=edge" http-equiv="X-UA-Compatible">
+    <meta content="width=device-width, initial-scale=1.0" name="viewport">
+    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/styles/atom-one-dark.min.css">
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/highlight.min.js"></script>
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/10.7.2/languages/python.min.js"></script>
+    <title>Source</title>
+    <script>hljs.highlightAll();</script>
+</head>
+
+<body style="background-color:darkgray; margin: 0 0 0 0;">
+    <pre style="margin: 0 1em;">
+        <code class="python">
+# Copyright 2023 Iguazio
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import logging
+import operator
+import pathlib
+from functools import reduce, wraps
+from typing import Any, Dict, List, Tuple, Union
+
+import pandas as pd
+import transformers
+from tqdm import tqdm
+
+# Get the global logger:
+_LOGGER = logging.getLogger()
+
+
+def _check_mlrun_and_open_mpi() -> Tuple["mlrun.MLClientCtx", "mpi4py.MPI.Intracomm"]:
+    is_mpi = False
+    try:
+        import mlrun
+
+        context = mlrun.get_or_create_ctx(name="mlrun")
+        is_mpi = context.labels.get("kind", "job") == "mpijob"
+
+        if is_mpi:
+            try:
+                from mpi4py import MPI
+
+                return context, MPI.COMM_WORLD
+            except ModuleNotFoundError as mpi4py_not_found:
+                context.logger.error(
+                    "To distribute the function using MLRun's 'mpijob' you need to have `mpi4py` package in your "
+                    "interpreter. Please run `pip install mpi4py` and make sure you have open-mpi."
+                )
+                raise mpi4py_not_found
+        else:
+            return context, None
+    except ModuleNotFoundError as module_not_found:
+        if is_mpi:
+            raise module_not_found
+    return None, None
+
+
+def open_mpi_handler(
+    worker_inputs: List[str], root_worker_inputs: Dict[str, Any] = None
+):
+    global _LOGGER
+
+    # Check for MLRun and OpenMPI availability:
+    context, comm = _check_mlrun_and_open_mpi()
+
+    # Check if MLRun is available, set the global logger to MLRun's:
+    if context:
+        _LOGGER = context.logger
+
+    def decorator(handler):
+        if comm is None or comm.Get_size() == 1:
+            return handler
+
+        @wraps(handler)
+        def wrapper(**kwargs):
+            # Get the open mpi environment properties:
+            size = comm.Get_size()
+            rank = comm.Get_rank()
+
+            # Give the correct chunk of the workers inputs:
+            for worker_input in worker_inputs:
+                input_argument = kwargs[worker_input]
+                if input_argument is None:
+                    continue
+                if isinstance(input_argument, (str, pathlib.Path)):
+                    input_argument = _get_text_files(
+                        data_path=pathlib.Path(input_argument).absolute()
+                    )
+                if len(input_argument) < size:
+                    raise ValueError(
+                        f"Cannot split the input '{worker_input}' of length {len(input_argument)} to {size} workers. "
+                        f"Please reduce the amount of workers for this input."
+                    )
+                even_chunk_size = len(input_argument) // size
+                chunk_start = rank * even_chunk_size
+                chunk_end = (
+                    (rank + 1) * even_chunk_size
+                    if rank + 1 < size
+                    else len(input_argument)
+                )
+                context.logger.info(
+                    f"Rank #{rank}: Processing input chunk of '{worker_input}' "
+                    f"from index {chunk_start} to {chunk_end}."
+                )
+                if isinstance(input_argument, list):
+                    input_argument = input_argument[chunk_start:chunk_end]
+                elif isinstance(input_argument, pd.DataFrame):
+                    input_argument = input_argument.iloc[chunk_start:chunk_end:, :]
+                kwargs[worker_input] = input_argument
+
+            # Set the root worker only arguments:
+            if rank == 0 and root_worker_inputs:
+                kwargs.update(root_worker_inputs)
+
+            # Run the worker:
+            output = handler(**kwargs)
+
+            # Send the output to the root rank (rank #0):
+            output = comm.gather(output, root=0)
+            if rank == 0:
+                # Join the outputs:
+                context.logger.info("Collecting data from workers to root worker.")
+                output_directory = output[0][0]
+                dataframe = pd.concat(objs=[df for _, df, _ in output], axis=0)
+                errors_dictionary = reduce(
+                    operator.ior, [err for _, _, err in output], {}
+                )
+                return output_directory, dataframe, errors_dictionary
+            return None
+
+        return wrapper
+
+    return decorator
+
+
+@open_mpi_handler(worker_inputs=["data_path"], root_worker_inputs={"verbose": True})
+def translate(
+    data_path: Union[str, List[str], pathlib.Path],
+    output_directory: str,
+    model_name: str = None,
+    source_language: str = None,
+    target_language: str = None,
+    device: str = None,
+    model_kwargs: dict = None,
+    batch_size: int = 1,
+    translation_kwargs: dict = None,
+    verbose: bool = False,
+) -> Tuple[str, pd.DataFrame, dict]:
+    """
+    Translate text files using a transformer model from Huggingface's hub according to the source and target languages
+    given (or using the directly provided model name). The end result is a directory of translated text files and a
+    dataframe containing the following columns:
+
+    * text_file - The text file path.
+    * translation_file - The translation text file name in the output directory.
+
+    :param data_path:          A directory of text files or a single file or a list of files to translate.
+    :param output_directory:   Directory where the translated files will be saved.
+    :param model_name:         The name of a model to load. If None, the model name is constructed using the source and
+                               target languages parameters.
+    :param source_language:    The source language code (e.g., 'en' for English).
+    :param target_language:    The target language code (e.g., 'en' for English).
+    :param model_kwargs:       Keyword arguments to pass regarding the loading of the model in HuggingFace's `pipeline`
+                               function.
+    :param device:             The device index for transformers. Default will prefer cuda if available.
+    :param batch_size:         The number of batches to use in translation. The files are translated one by one, but the
+                               sentences can be batched.
+    :param translation_kwargs: Additional keyword arguments to pass to a `transformers.TranslationPipeline` when doing
+                               the translation inference. Notice the batch size here is being added automatically.
+    :param verbose:            Whether to present logs of a progress bar and errors. Default: True.
+
+    :returns: A tuple of:
+
+              * Path to the output directory.
+              * A dataframe dataset of the translated file names.
+              * A dictionary of errored files that were not translated.
+    """
+    global _LOGGER
+
+    # Get the input text files to translate:
+    if verbose:
+        _LOGGER.info("Collecting text files.")
+    if isinstance(data_path, str):
+        data_path = pathlib.Path(data_path).absolute()
+        text_files = _get_text_files(data_path=data_path)
+    else:
+        text_files = data_path
+    if verbose:
+        _LOGGER.info(f"Collected {len(text_files)} text files.")
+
+    # Get the translation pipeline:
+    if verbose:
+        _LOGGER.info(f"Loading model - using device '{device}'.")
+    translation_pipeline, model_name = _get_translation_pipeline(
+        model_name=model_name,
+        source_language=source_language,
+        target_language=target_language,
+        device=device,
+        model_kwargs=model_kwargs,
+        batch_size=batch_size if batch_size != 1 else None,
+    )
+    if verbose:
+        _LOGGER.info(f"Model '{model_name}' was loaded successfully.")
+
+    # Prepare the successes dataframe and errors dictionary to be returned:
+    successes = []
+    errors = {}
+
+    # Create the output directory:
+    output_directory = pathlib.Path(output_directory)
+    output_directory.mkdir(parents=True, exist_ok=True)
+
+    # Prepare the translation keyword arguments:
+    translation_kwargs = translation_kwargs or {}
+
+    # Go over the audio files and transcribe:
+    for text_file in tqdm(
+        text_files, desc="Translating", unit="file", disable=not verbose
+    ):
+        try:
+            # Translate:
+            translation = _translate(
+                text_file=text_file,
+                translation_pipeline=translation_pipeline,
+                translation_kwargs=translation_kwargs,
+            )
+            # Write the transcription to file:
+            translation_file = _save_to_file(
+                translation=translation,
+                file_name=text_file.stem,
+                output_directory=output_directory,
+            )
+            # Note as a success in the list:
+            successes.append(
+                [
+                    text_file.name,
+                    translation_file.name,
+                ]
+            )
+        except Exception as exception:
+            # Note the exception as error in the dictionary:
+            if verbose:
+                _LOGGER.warning(f"Error in file: '{text_file.name}'")
+            errors[str(text_file.name)] = str(exception)
+            continue
+
+    # Construct the translations dataframe:
+    columns = [
+        "text_file",
+        "translation_file",
+    ]
+    successes = pd.DataFrame(
+        successes,
+        columns=columns,
+    )
+
+    # Print the head of the produced dataframe and return:
+    if verbose:
+        _LOGGER.info(
+            f"Done ({successes.shape[0]}/{len(text_files)})\n"
+            f"Translations summary:\n"
+            f"{successes.head()}"
+        )
+    return str(output_directory), successes, errors
+
+
+def _get_text_files(
+    data_path: pathlib.Path,
+) -> List[pathlib.Path]:
+    # Check if the path is of a directory or a file:
+    if data_path.is_dir():
+        # Get all files inside the directory:
+        text_files = list(data_path.glob("*.*"))
+    elif data_path.is_file():
+        text_files = [data_path]
+    else:
+        raise ValueError(
+            f"Unrecognized data path. The parameter `data_path` must be either a directory path or a file path. "
+            f"Given: {str(data_path)} "
+        )
+
+    return text_files
+
+
+def _get_translation_pipeline(
+    model_name: str = None,
+    source_language: str = None,
+    target_language: str = None,
+    device: str = None,
+    model_kwargs: dict = None,
+    batch_size: int = None,
+) -> Tuple[transformers.Pipeline, str]:
+    # Construct the model name - if model name is provided (not None) then we take it, otherwise we check both source
+    # and target were provided to construct the model name:
+    if model_name is None and (source_language is None or target_language is None):
+        raise ValueError(
+            "No model name were given and missing source and / or target languages. In order to translate you must "
+            "pass a `model_name` or both `source_language` and `target_language`."
+        )
+    elif model_name is None:
+        model_name = f"Helsinki-NLP/opus-mt-{source_language}-{target_language}"
+
+    # Initialize the translation pipeline:
+    try:
+        translation_pipeline = transformers.pipeline(
+            task="translation",
+            model=model_name,
+            tokenizer=model_name,
+            device=device,
+            model_kwargs=model_kwargs,
+            batch_size=batch_size,
+        )
+    except OSError as load_exception:
+        if (
+            "is not a valid model identifier listed on 'https://huggingface.co/models'"
+            in str(load_exception)
+            and source_language
+        ):
+            raise ValueError(
+                f"The model '{model_name}' is not a valid model identifier. "
+                f"The parameters `source_language` and `target_language` are used to construct a Helsinki model for "
+                f"text to text generation, but the model created from the given languages does not exist. "
+                f"You may check language identifiers at "
+                f"https://developers.google.com/admin-sdk/directory/v1/languages, and if the error was not fixed, one "
+                f"or more language code might be with 3 letters and needs to be found online. "
+                f"Remember, you can always choose a model directly from the Huggingface hub by using the `model_name` "
+                f"parameter."
+            ) from load_exception
+        raise load_exception
+
+    return translation_pipeline, model_name
+
+
+def _translate(
+    text_file: pathlib.Path,
+    translation_pipeline: transformers.Pipeline,
+    translation_kwargs: dict,
+) -> str:
+    # Read the text from file:
+    with open(text_file, "r") as fp:
+        text = fp.read()
+
+    # Split to paragraphs and each paragraph to sentences:
+    paragraphs = [paragraph.split(".") for paragraph in text.split("\n")]
+
+    # Discover the newline indexes to restore the file to its structure post translation:
+    newlines_indexes = []
+    for paragraph in paragraphs[:-1]:
+        if len(newlines_indexes) == 0:
+            newlines_indexes.append(len(paragraph) - 1)
+        else:
+            newlines_indexes.append(newlines_indexes[-1] + len(paragraph))
+
+    # Prepare the batches (each sentence from the paragraphs). Notice we add a dot not only to restore the sentence
+    # structure but to ignore empty strings as it will ruin the translation:
+    sentences = [f"{line}." for paragraph in paragraphs for line in paragraph]
+
+    # Translate the sentences:
+    translations = translation_pipeline(sentences, **translation_kwargs)
+
+    # Restructure the full text from the sentences:
+    translated_text = []
+    newline_index = newlines_indexes.pop(0) if newlines_indexes else None
+    for i, translation in enumerate(translations):
+        # Get the translation:
+        text = translation["translation_text"]
+        # Validate if it was an empty sentence before:
+        if text == ".":
+            text = ""
+        # Check if needed to insert a newline:
+        if newline_index and newline_index == i:
+            text += "\n"
+            newline_index = newlines_indexes.pop(0) if newlines_indexes else None
+        # Collect it:
+        translated_text.append(text)
+    translated_text = "".join(translated_text)
+
+    return translated_text
+
+
+def _save_to_file(
+    translation: str, file_name: str, output_directory: pathlib.Path
+) -> pathlib.Path:
+    # Prepare the file full path (checking for no duplications):
+    translation_file = output_directory / f"{file_name}.txt"
+    i = 1
+    while translation_file.exists():
+        i += 1
+        translation_file = output_directory / f"{file_name}_{i}.txt"
+
+    # Make sure all directories are created:
+    translation_file.parent.mkdir(exist_ok=True, parents=True)
+
+    # Write to file:
+    with open(translation_file, "w") as fp:
+        fp.write(translation)
+
+    return translation_file
+
+        </code>
+    </pre>
+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/translate/0.1.0/static/translate.html b/functions/master/translate/0.1.0/static/translate.html
new file mode 100644
index 00000000..95d99310
--- /dev/null
+++ b/functions/master/translate/0.1.0/static/translate.html
@@ -0,0 +1,536 @@
+
+<!DOCTYPE html>
+
+<html lang="en">
+<head>
+<meta charset="utf-8"/>
+<meta content="width=device-width, initial-scale=1.0" name="viewport"/>
+<title>translate.translate</title>
+<!-- Loaded before other Sphinx assets -->
+<link href="../../../_static/styles/theme.css?digest=1999514e3f237ded88cf" rel="stylesheet"/>
+<link href="../../../_static/styles/pydata-sphinx-theme.css?digest=1999514e3f237ded88cf" rel="stylesheet"/>
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+<link href="../../../_static/togglebutton.css" rel="stylesheet" type="text/css">
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+<meta content="width=device-width, initial-scale=1" name="viewport"/>
+<meta content="en" name="docsearch:language"/>
+<!-- Google Analytics -->
+</link></link></link></link></link></link></head>
+<body data-offset="60" data-spy="scroll" data-target="#bd-toc-nav">
+<!-- Checkboxes to toggle the left sidebar -->
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+<div class="visually-hidden">Toggle navigation sidebar</div>
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+<div class="visually-hidden">Toggle in-page Table of Contents</div>
+</label>
+<!-- Headers at the top -->
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+<div class="row">
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+<div class="bd-sidebar noprint single-page" id="site-navigation">
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+<!-- A tiny helper pixel to detect if we've scrolled -->
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+<!-- Main content -->
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+<div class="col py-1 d-flex header-article-main">
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+</div>
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+</button>
+<div class="menu-dropdown__content">
+<ul>
+<li>
+<a class="headerbtn" data-placement="left" data-toggle="tooltip" href="https://github.com/mlrun/marketplace" title="Source repository">
+<span class="headerbtn__icon-container">
+<i class="fab fa-github"></i>
+</span>
+<span class="headerbtn__text-container">repository</span>
+</a>
+</li>
+<li>
+<a class="headerbtn" data-placement="left" data-toggle="tooltip" href="https://github.com/mlrun/marketplace/issues/new?title=Issue%20on%20page%20%2F_modules/translate/translate.html&amp;body=Your%20issue%20content%20here." title="Open an issue">
+<span class="headerbtn__icon-container">
+<i class="fas fa-lightbulb"></i>
+</span>
+<span class="headerbtn__text-container">open issue</span>
+</a>
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+</div>
+<!-- Table of contents -->
+<div class="col-md-3 bd-toc show noprint">
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+<div class="col pl-md-3 pl-lg-5 content-container">
+<!-- Table of contents that is only displayed when printing the page -->
+<div class="onlyprint" id="jb-print-docs-body">
+<h1></h1>
+<!-- Table of contents -->
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+</div>
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+</div>
+<main id="main-content" role="main">
+<div>
+<h1>Source code for translate.translate</h1><div class="highlight"><pre>
+<span></span><span class="c1"># Copyright 2023 Iguazio</span>
+<span class="c1">#</span>
+<span class="c1"># Licensed under the Apache License, Version 2.0 (the "License");</span>
+<span class="c1"># you may not use this file except in compliance with the License.</span>
+<span class="c1"># You may obtain a copy of the License at</span>
+<span class="c1">#</span>
+<span class="c1">#   http://www.apache.org/licenses/LICENSE-2.0</span>
+<span class="c1">#</span>
+<span class="c1"># Unless required by applicable law or agreed to in writing, software</span>
+<span class="c1"># distributed under the License is distributed on an "AS IS" BASIS,</span>
+<span class="c1"># WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.</span>
+<span class="c1"># See the License for the specific language governing permissions and</span>
+<span class="c1"># limitations under the License.</span>
+
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">import</span> <span class="nn">operator</span>
+<span class="kn">import</span> <span class="nn">pathlib</span>
+<span class="kn">from</span> <span class="nn">functools</span> <span class="kn">import</span> <span class="n">reduce</span><span class="p">,</span> <span class="n">wraps</span>
+<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Any</span><span class="p">,</span> <span class="n">Dict</span><span class="p">,</span> <span class="n">List</span><span class="p">,</span> <span class="n">Tuple</span><span class="p">,</span> <span class="n">Union</span>
+
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="kn">import</span> <span class="nn">transformers</span>
+<span class="kn">from</span> <span class="nn">tqdm</span> <span class="kn">import</span> <span class="n">tqdm</span>
+
+<span class="c1"># Get the global logger:</span>
+<span class="n">_LOGGER</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">()</span>
+
+
+<span class="k">def</span> <span class="nf">_check_mlrun_and_open_mpi</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="s2">"mlrun.MLClientCtx"</span><span class="p">,</span> <span class="s2">"mpi4py.MPI.Intracomm"</span><span class="p">]:</span>
+    <span class="n">is_mpi</span> <span class="o">=</span> <span class="kc">False</span>
+    <span class="k">try</span><span class="p">:</span>
+        <span class="kn">import</span> <span class="nn">mlrun</span>
+
+        <span class="n">context</span> <span class="o">=</span> <span class="n">mlrun</span><span class="o">.</span><span class="n">get_or_create_ctx</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s2">"mlrun"</span><span class="p">)</span>
+        <span class="n">is_mpi</span> <span class="o">=</span> <span class="n">context</span><span class="o">.</span><span class="n">labels</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"kind"</span><span class="p">,</span> <span class="s2">"job"</span><span class="p">)</span> <span class="o">==</span> <span class="s2">"mpijob"</span>
+
+        <span class="k">if</span> <span class="n">is_mpi</span><span class="p">:</span>
+            <span class="k">try</span><span class="p">:</span>
+                <span class="kn">from</span> <span class="nn">mpi4py</span> <span class="kn">import</span> <span class="n">MPI</span>
+
+                <span class="k">return</span> <span class="n">context</span><span class="p">,</span> <span class="n">MPI</span><span class="o">.</span><span class="n">COMM_WORLD</span>
+            <span class="k">except</span> <span class="ne">ModuleNotFoundError</span> <span class="k">as</span> <span class="n">mpi4py_not_found</span><span class="p">:</span>
+                <span class="n">context</span><span class="o">.</span><span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span>
+                    <span class="s2">"To distribute the function using MLRun's 'mpijob' you need to have `mpi4py` package in your "</span>
+                    <span class="s2">"interpreter. Please run `pip install mpi4py` and make sure you have open-mpi."</span>
+                <span class="p">)</span>
+                <span class="k">raise</span> <span class="n">mpi4py_not_found</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="k">return</span> <span class="n">context</span><span class="p">,</span> <span class="kc">None</span>
+    <span class="k">except</span> <span class="ne">ModuleNotFoundError</span> <span class="k">as</span> <span class="n">module_not_found</span><span class="p">:</span>
+        <span class="k">if</span> <span class="n">is_mpi</span><span class="p">:</span>
+            <span class="k">raise</span> <span class="n">module_not_found</span>
+    <span class="k">return</span> <span class="kc">None</span><span class="p">,</span> <span class="kc">None</span>
+
+
+<div class="viewcode-block" id="open_mpi_handler"><a class="viewcode-back" href="documentation.html#translate.translate.open_mpi_handler">[docs]</a><span class="k">def</span> <span class="nf">open_mpi_handler</span><span class="p">(</span>
+    <span class="n">worker_inputs</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">],</span> <span class="n">root_worker_inputs</span><span class="p">:</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">Any</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span>
+<span class="p">):</span>
+    <span class="k">global</span> <span class="n">_LOGGER</span>
+
+    <span class="c1"># Check for MLRun and OpenMPI availability:</span>
+    <span class="n">context</span><span class="p">,</span> <span class="n">comm</span> <span class="o">=</span> <span class="n">_check_mlrun_and_open_mpi</span><span class="p">()</span>
+
+    <span class="c1"># Check if MLRun is available, set the global logger to MLRun's:</span>
+    <span class="k">if</span> <span class="n">context</span><span class="p">:</span>
+        <span class="n">_LOGGER</span> <span class="o">=</span> <span class="n">context</span><span class="o">.</span><span class="n">logger</span>
+
+    <span class="k">def</span> <span class="nf">decorator</span><span class="p">(</span><span class="n">handler</span><span class="p">):</span>
+        <span class="k">if</span> <span class="n">comm</span> <span class="ow">is</span> <span class="kc">None</span> <span class="ow">or</span> <span class="n">comm</span><span class="o">.</span><span class="n">Get_size</span><span class="p">()</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
+            <span class="k">return</span> <span class="n">handler</span>
+
+        <span class="nd">@wraps</span><span class="p">(</span><span class="n">handler</span><span class="p">)</span>
+        <span class="k">def</span> <span class="nf">wrapper</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+            <span class="c1"># Get the open mpi environment properties:</span>
+            <span class="n">size</span> <span class="o">=</span> <span class="n">comm</span><span class="o">.</span><span class="n">Get_size</span><span class="p">()</span>
+            <span class="n">rank</span> <span class="o">=</span> <span class="n">comm</span><span class="o">.</span><span class="n">Get_rank</span><span class="p">()</span>
+
+            <span class="c1"># Give the correct chunk of the workers inputs:</span>
+            <span class="k">for</span> <span class="n">worker_input</span> <span class="ow">in</span> <span class="n">worker_inputs</span><span class="p">:</span>
+                <span class="n">input_argument</span> <span class="o">=</span> <span class="n">kwargs</span><span class="p">[</span><span class="n">worker_input</span><span class="p">]</span>
+                <span class="k">if</span> <span class="n">input_argument</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+                    <span class="k">continue</span>
+                <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">input_argument</span><span class="p">,</span> <span class="p">(</span><span class="nb">str</span><span class="p">,</span> <span class="n">pathlib</span><span class="o">.</span><span class="n">Path</span><span class="p">)):</span>
+                    <span class="n">input_argument</span> <span class="o">=</span> <span class="n">_get_text_files</span><span class="p">(</span>
+                        <span class="n">data_path</span><span class="o">=</span><span class="n">pathlib</span><span class="o">.</span><span class="n">Path</span><span class="p">(</span><span class="n">input_argument</span><span class="p">)</span><span class="o">.</span><span class="n">absolute</span><span class="p">()</span>
+                    <span class="p">)</span>
+                <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">input_argument</span><span class="p">)</span> <span class="o">&lt;</span> <span class="n">size</span><span class="p">:</span>
+                    <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span>
+                        <span class="sa">f</span><span class="s2">"Cannot split the input '</span><span class="si">{</span><span class="n">worker_input</span><span class="si">}</span><span class="s2">' of length </span><span class="si">{</span><span class="nb">len</span><span class="p">(</span><span class="n">input_argument</span><span class="p">)</span><span class="si">}</span><span class="s2"> to </span><span class="si">{</span><span class="n">size</span><span class="si">}</span><span class="s2"> workers. "</span>
+                        <span class="sa">f</span><span class="s2">"Please reduce the amount of workers for this input."</span>
+                    <span class="p">)</span>
+                <span class="n">even_chunk_size</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">input_argument</span><span class="p">)</span> <span class="o">//</span> <span class="n">size</span>
+                <span class="n">chunk_start</span> <span class="o">=</span> <span class="n">rank</span> <span class="o">*</span> <span class="n">even_chunk_size</span>
+                <span class="n">chunk_end</span> <span class="o">=</span> <span class="p">(</span>
+                    <span class="p">(</span><span class="n">rank</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span> <span class="o">*</span> <span class="n">even_chunk_size</span>
+                    <span class="k">if</span> <span class="n">rank</span> <span class="o">+</span> <span class="mi">1</span> <span class="o">&lt;</span> <span class="n">size</span>
+                    <span class="k">else</span> <span class="nb">len</span><span class="p">(</span><span class="n">input_argument</span><span class="p">)</span>
+                <span class="p">)</span>
+                <span class="n">context</span><span class="o">.</span><span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                    <span class="sa">f</span><span class="s2">"Rank #</span><span class="si">{</span><span class="n">rank</span><span class="si">}</span><span class="s2">: Processing input chunk of '</span><span class="si">{</span><span class="n">worker_input</span><span class="si">}</span><span class="s2">' "</span>
+                    <span class="sa">f</span><span class="s2">"from index </span><span class="si">{</span><span class="n">chunk_start</span><span class="si">}</span><span class="s2"> to </span><span class="si">{</span><span class="n">chunk_end</span><span class="si">}</span><span class="s2">."</span>
+                <span class="p">)</span>
+                <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">input_argument</span><span class="p">,</span> <span class="nb">list</span><span class="p">):</span>
+                    <span class="n">input_argument</span> <span class="o">=</span> <span class="n">input_argument</span><span class="p">[</span><span class="n">chunk_start</span><span class="p">:</span><span class="n">chunk_end</span><span class="p">]</span>
+                <span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">input_argument</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">):</span>
+                    <span class="n">input_argument</span> <span class="o">=</span> <span class="n">input_argument</span><span class="o">.</span><span class="n">iloc</span><span class="p">[</span><span class="n">chunk_start</span><span class="p">:</span><span class="n">chunk_end</span><span class="p">:,</span> <span class="p">:]</span>
+                <span class="n">kwargs</span><span class="p">[</span><span class="n">worker_input</span><span class="p">]</span> <span class="o">=</span> <span class="n">input_argument</span>
+
+            <span class="c1"># Set the root worker only arguments:</span>
+            <span class="k">if</span> <span class="n">rank</span> <span class="o">==</span> <span class="mi">0</span> <span class="ow">and</span> <span class="n">root_worker_inputs</span><span class="p">:</span>
+                <span class="n">kwargs</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">root_worker_inputs</span><span class="p">)</span>
+
+            <span class="c1"># Run the worker:</span>
+            <span class="n">output</span> <span class="o">=</span> <span class="n">handler</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+
+            <span class="c1"># Send the output to the root rank (rank #0):</span>
+            <span class="n">output</span> <span class="o">=</span> <span class="n">comm</span><span class="o">.</span><span class="n">gather</span><span class="p">(</span><span class="n">output</span><span class="p">,</span> <span class="n">root</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+            <span class="k">if</span> <span class="n">rank</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
+                <span class="c1"># Join the outputs:</span>
+                <span class="n">context</span><span class="o">.</span><span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s2">"Collecting data from workers to root worker."</span><span class="p">)</span>
+                <span class="n">output_directory</span> <span class="o">=</span> <span class="n">output</span><span class="p">[</span><span class="mi">0</span><span class="p">][</span><span class="mi">0</span><span class="p">]</span>
+                <span class="n">dataframe</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">concat</span><span class="p">(</span><span class="n">objs</span><span class="o">=</span><span class="p">[</span><span class="n">df</span> <span class="k">for</span> <span class="n">_</span><span class="p">,</span> <span class="n">df</span><span class="p">,</span> <span class="n">_</span> <span class="ow">in</span> <span class="n">output</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+                <span class="n">errors_dictionary</span> <span class="o">=</span> <span class="n">reduce</span><span class="p">(</span>
+                    <span class="n">operator</span><span class="o">.</span><span class="n">ior</span><span class="p">,</span> <span class="p">[</span><span class="n">err</span> <span class="k">for</span> <span class="n">_</span><span class="p">,</span> <span class="n">_</span><span class="p">,</span> <span class="n">err</span> <span class="ow">in</span> <span class="n">output</span><span class="p">],</span> <span class="p">{}</span>
+                <span class="p">)</span>
+                <span class="k">return</span> <span class="n">output_directory</span><span class="p">,</span> <span class="n">dataframe</span><span class="p">,</span> <span class="n">errors_dictionary</span>
+            <span class="k">return</span> <span class="kc">None</span>
+
+        <span class="k">return</span> <span class="n">wrapper</span>
+
+    <span class="k">return</span> <span class="n">decorator</span></div>
+
+
+<div class="viewcode-block" id="translate"><a class="viewcode-back" href="documentation.html#translate.translate.translate">[docs]</a><span class="nd">@open_mpi_handler</span><span class="p">(</span><span class="n">worker_inputs</span><span class="o">=</span><span class="p">[</span><span class="s2">"data_path"</span><span class="p">],</span> <span class="n">root_worker_inputs</span><span class="o">=</span><span class="p">{</span><span class="s2">"verbose"</span><span class="p">:</span> <span class="kc">True</span><span class="p">})</span>
+<span class="k">def</span> <span class="nf">translate</span><span class="p">(</span>
+    <span class="n">data_path</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">],</span> <span class="n">pathlib</span><span class="o">.</span><span class="n">Path</span><span class="p">],</span>
+    <span class="n">output_directory</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
+    <span class="n">model_name</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">source_language</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">target_language</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">device</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">model_kwargs</span><span class="p">:</span> <span class="nb">dict</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">batch_size</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1</span><span class="p">,</span>
+    <span class="n">translation_kwargs</span><span class="p">:</span> <span class="nb">dict</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">verbose</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
+<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">,</span> <span class="nb">dict</span><span class="p">]:</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    Translate text files using a transformer model from Huggingface's hub according to the source and target languages</span>
+<span class="sd">    given (or using the directly provided model name). The end result is a directory of translated text files and a</span>
+<span class="sd">    dataframe containing the following columns:</span>
+
+<span class="sd">    * text_file - The text file path.</span>
+<span class="sd">    * translation_file - The translation text file name in the output directory.</span>
+
+<span class="sd">    :param data_path:          A directory of text files or a single file or a list of files to translate.</span>
+<span class="sd">    :param output_directory:   Directory where the translated files will be saved.</span>
+<span class="sd">    :param model_name:         The name of a model to load. If None, the model name is constructed using the source and</span>
+<span class="sd">                               target languages parameters.</span>
+<span class="sd">    :param source_language:    The source language code (e.g., 'en' for English).</span>
+<span class="sd">    :param target_language:    The target language code (e.g., 'en' for English).</span>
+<span class="sd">    :param model_kwargs:       Keyword arguments to pass regarding the loading of the model in HuggingFace's `pipeline`</span>
+<span class="sd">                               function.</span>
+<span class="sd">    :param device:             The device index for transformers. Default will prefer cuda if available.</span>
+<span class="sd">    :param batch_size:         The number of batches to use in translation. The files are translated one by one, but the</span>
+<span class="sd">                               sentences can be batched.</span>
+<span class="sd">    :param translation_kwargs: Additional keyword arguments to pass to a `transformers.TranslationPipeline` when doing</span>
+<span class="sd">                               the translation inference. Notice the batch size here is being added automatically.</span>
+<span class="sd">    :param verbose:            Whether to present logs of a progress bar and errors. Default: True.</span>
+
+<span class="sd">    :returns: A tuple of:</span>
+
+<span class="sd">              * Path to the output directory.</span>
+<span class="sd">              * A dataframe dataset of the translated file names.</span>
+<span class="sd">              * A dictionary of errored files that were not translated.</span>
+<span class="sd">    """</span>
+    <span class="k">global</span> <span class="n">_LOGGER</span>
+
+    <span class="c1"># Get the input text files to translate:</span>
+    <span class="k">if</span> <span class="n">verbose</span><span class="p">:</span>
+        <span class="n">_LOGGER</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s2">"Collecting text files."</span><span class="p">)</span>
+    <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">data_path</span><span class="p">,</span> <span class="nb">str</span><span class="p">):</span>
+        <span class="n">data_path</span> <span class="o">=</span> <span class="n">pathlib</span><span class="o">.</span><span class="n">Path</span><span class="p">(</span><span class="n">data_path</span><span class="p">)</span><span class="o">.</span><span class="n">absolute</span><span class="p">()</span>
+        <span class="n">text_files</span> <span class="o">=</span> <span class="n">_get_text_files</span><span class="p">(</span><span class="n">data_path</span><span class="o">=</span><span class="n">data_path</span><span class="p">)</span>
+    <span class="k">else</span><span class="p">:</span>
+        <span class="n">text_files</span> <span class="o">=</span> <span class="n">data_path</span>
+    <span class="k">if</span> <span class="n">verbose</span><span class="p">:</span>
+        <span class="n">_LOGGER</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Collected </span><span class="si">{</span><span class="nb">len</span><span class="p">(</span><span class="n">text_files</span><span class="p">)</span><span class="si">}</span><span class="s2"> text files."</span><span class="p">)</span>
+
+    <span class="c1"># Get the translation pipeline:</span>
+    <span class="k">if</span> <span class="n">verbose</span><span class="p">:</span>
+        <span class="n">_LOGGER</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Loading model - using device '</span><span class="si">{</span><span class="n">device</span><span class="si">}</span><span class="s2">'."</span><span class="p">)</span>
+    <span class="n">translation_pipeline</span><span class="p">,</span> <span class="n">model_name</span> <span class="o">=</span> <span class="n">_get_translation_pipeline</span><span class="p">(</span>
+        <span class="n">model_name</span><span class="o">=</span><span class="n">model_name</span><span class="p">,</span>
+        <span class="n">source_language</span><span class="o">=</span><span class="n">source_language</span><span class="p">,</span>
+        <span class="n">target_language</span><span class="o">=</span><span class="n">target_language</span><span class="p">,</span>
+        <span class="n">device</span><span class="o">=</span><span class="n">device</span><span class="p">,</span>
+        <span class="n">model_kwargs</span><span class="o">=</span><span class="n">model_kwargs</span><span class="p">,</span>
+        <span class="n">batch_size</span><span class="o">=</span><span class="n">batch_size</span> <span class="k">if</span> <span class="n">batch_size</span> <span class="o">!=</span> <span class="mi">1</span> <span class="k">else</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="p">)</span>
+    <span class="k">if</span> <span class="n">verbose</span><span class="p">:</span>
+        <span class="n">_LOGGER</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Model '</span><span class="si">{</span><span class="n">model_name</span><span class="si">}</span><span class="s2">' was loaded successfully."</span><span class="p">)</span>
+
+    <span class="c1"># Prepare the successes dataframe and errors dictionary to be returned:</span>
+    <span class="n">successes</span> <span class="o">=</span> <span class="p">[]</span>
+    <span class="n">errors</span> <span class="o">=</span> <span class="p">{}</span>
+
+    <span class="c1"># Create the output directory:</span>
+    <span class="n">output_directory</span> <span class="o">=</span> <span class="n">pathlib</span><span class="o">.</span><span class="n">Path</span><span class="p">(</span><span class="n">output_directory</span><span class="p">)</span>
+    <span class="n">output_directory</span><span class="o">.</span><span class="n">mkdir</span><span class="p">(</span><span class="n">parents</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+    <span class="c1"># Prepare the translation keyword arguments:</span>
+    <span class="n">translation_kwargs</span> <span class="o">=</span> <span class="n">translation_kwargs</span> <span class="ow">or</span> <span class="p">{}</span>
+
+    <span class="c1"># Go over the audio files and transcribe:</span>
+    <span class="k">for</span> <span class="n">text_file</span> <span class="ow">in</span> <span class="n">tqdm</span><span class="p">(</span>
+        <span class="n">text_files</span><span class="p">,</span> <span class="n">desc</span><span class="o">=</span><span class="s2">"Translating"</span><span class="p">,</span> <span class="n">unit</span><span class="o">=</span><span class="s2">"file"</span><span class="p">,</span> <span class="n">disable</span><span class="o">=</span><span class="ow">not</span> <span class="n">verbose</span>
+    <span class="p">):</span>
+        <span class="k">try</span><span class="p">:</span>
+            <span class="c1"># Translate:</span>
+            <span class="n">translation</span> <span class="o">=</span> <span class="n">_translate</span><span class="p">(</span>
+                <span class="n">text_file</span><span class="o">=</span><span class="n">text_file</span><span class="p">,</span>
+                <span class="n">translation_pipeline</span><span class="o">=</span><span class="n">translation_pipeline</span><span class="p">,</span>
+                <span class="n">translation_kwargs</span><span class="o">=</span><span class="n">translation_kwargs</span><span class="p">,</span>
+            <span class="p">)</span>
+            <span class="c1"># Write the transcription to file:</span>
+            <span class="n">translation_file</span> <span class="o">=</span> <span class="n">_save_to_file</span><span class="p">(</span>
+                <span class="n">translation</span><span class="o">=</span><span class="n">translation</span><span class="p">,</span>
+                <span class="n">file_name</span><span class="o">=</span><span class="n">text_file</span><span class="o">.</span><span class="n">stem</span><span class="p">,</span>
+                <span class="n">output_directory</span><span class="o">=</span><span class="n">output_directory</span><span class="p">,</span>
+            <span class="p">)</span>
+            <span class="c1"># Note as a success in the list:</span>
+            <span class="n">successes</span><span class="o">.</span><span class="n">append</span><span class="p">(</span>
+                <span class="p">[</span>
+                    <span class="n">text_file</span><span class="o">.</span><span class="n">name</span><span class="p">,</span>
+                    <span class="n">translation_file</span><span class="o">.</span><span class="n">name</span><span class="p">,</span>
+                <span class="p">]</span>
+            <span class="p">)</span>
+        <span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">exception</span><span class="p">:</span>
+            <span class="c1"># Note the exception as error in the dictionary:</span>
+            <span class="k">if</span> <span class="n">verbose</span><span class="p">:</span>
+                <span class="n">_LOGGER</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Error in file: '</span><span class="si">{</span><span class="n">text_file</span><span class="o">.</span><span class="n">name</span><span class="si">}</span><span class="s2">'"</span><span class="p">)</span>
+            <span class="n">errors</span><span class="p">[</span><span class="nb">str</span><span class="p">(</span><span class="n">text_file</span><span class="o">.</span><span class="n">name</span><span class="p">)]</span> <span class="o">=</span> <span class="nb">str</span><span class="p">(</span><span class="n">exception</span><span class="p">)</span>
+            <span class="k">continue</span>
+
+    <span class="c1"># Construct the translations dataframe:</span>
+    <span class="n">columns</span> <span class="o">=</span> <span class="p">[</span>
+        <span class="s2">"text_file"</span><span class="p">,</span>
+        <span class="s2">"translation_file"</span><span class="p">,</span>
+    <span class="p">]</span>
+    <span class="n">successes</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span>
+        <span class="n">successes</span><span class="p">,</span>
+        <span class="n">columns</span><span class="o">=</span><span class="n">columns</span><span class="p">,</span>
+    <span class="p">)</span>
+
+    <span class="c1"># Print the head of the produced dataframe and return:</span>
+    <span class="k">if</span> <span class="n">verbose</span><span class="p">:</span>
+        <span class="n">_LOGGER</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+            <span class="sa">f</span><span class="s2">"Done (</span><span class="si">{</span><span class="n">successes</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="si">}</span><span class="s2">/</span><span class="si">{</span><span class="nb">len</span><span class="p">(</span><span class="n">text_files</span><span class="p">)</span><span class="si">}</span><span class="s2">)</span><span class="se">\n</span><span class="s2">"</span>
+            <span class="sa">f</span><span class="s2">"Translations summary:</span><span class="se">\n</span><span class="s2">"</span>
+            <span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">successes</span><span class="o">.</span><span class="n">head</span><span class="p">()</span><span class="si">}</span><span class="s2">"</span>
+        <span class="p">)</span>
+    <span class="k">return</span> <span class="nb">str</span><span class="p">(</span><span class="n">output_directory</span><span class="p">),</span> <span class="n">successes</span><span class="p">,</span> <span class="n">errors</span></div>
+
+
+<span class="k">def</span> <span class="nf">_get_text_files</span><span class="p">(</span>
+    <span class="n">data_path</span><span class="p">:</span> <span class="n">pathlib</span><span class="o">.</span><span class="n">Path</span><span class="p">,</span>
+<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="n">pathlib</span><span class="o">.</span><span class="n">Path</span><span class="p">]:</span>
+    <span class="c1"># Check if the path is of a directory or a file:</span>
+    <span class="k">if</span> <span class="n">data_path</span><span class="o">.</span><span class="n">is_dir</span><span class="p">():</span>
+        <span class="c1"># Get all files inside the directory:</span>
+        <span class="n">text_files</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">data_path</span><span class="o">.</span><span class="n">glob</span><span class="p">(</span><span class="s2">"*.*"</span><span class="p">))</span>
+    <span class="k">elif</span> <span class="n">data_path</span><span class="o">.</span><span class="n">is_file</span><span class="p">():</span>
+        <span class="n">text_files</span> <span class="o">=</span> <span class="p">[</span><span class="n">data_path</span><span class="p">]</span>
+    <span class="k">else</span><span class="p">:</span>
+        <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span>
+            <span class="sa">f</span><span class="s2">"Unrecognized data path. The parameter `data_path` must be either a directory path or a file path. "</span>
+            <span class="sa">f</span><span class="s2">"Given: </span><span class="si">{</span><span class="nb">str</span><span class="p">(</span><span class="n">data_path</span><span class="p">)</span><span class="si">}</span><span class="s2"> "</span>
+        <span class="p">)</span>
+
+    <span class="k">return</span> <span class="n">text_files</span>
+
+
+<span class="k">def</span> <span class="nf">_get_translation_pipeline</span><span class="p">(</span>
+    <span class="n">model_name</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">source_language</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">target_language</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">device</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">model_kwargs</span><span class="p">:</span> <span class="nb">dict</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">batch_size</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">transformers</span><span class="o">.</span><span class="n">Pipeline</span><span class="p">,</span> <span class="nb">str</span><span class="p">]:</span>
+    <span class="c1"># Construct the model name - if model name is provided (not None) then we take it, otherwise we check both source</span>
+    <span class="c1"># and target were provided to construct the model name:</span>
+    <span class="k">if</span> <span class="n">model_name</span> <span class="ow">is</span> <span class="kc">None</span> <span class="ow">and</span> <span class="p">(</span><span class="n">source_language</span> <span class="ow">is</span> <span class="kc">None</span> <span class="ow">or</span> <span class="n">target_language</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">):</span>
+        <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span>
+            <span class="s2">"No model name were given and missing source and / or target languages. In order to translate you must "</span>
+            <span class="s2">"pass a `model_name` or both `source_language` and `target_language`."</span>
+        <span class="p">)</span>
+    <span class="k">elif</span> <span class="n">model_name</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+        <span class="n">model_name</span> <span class="o">=</span> <span class="sa">f</span><span class="s2">"Helsinki-NLP/opus-mt-</span><span class="si">{</span><span class="n">source_language</span><span class="si">}</span><span class="s2">-</span><span class="si">{</span><span class="n">target_language</span><span class="si">}</span><span class="s2">"</span>
+
+    <span class="c1"># Initialize the translation pipeline:</span>
+    <span class="k">try</span><span class="p">:</span>
+        <span class="n">translation_pipeline</span> <span class="o">=</span> <span class="n">transformers</span><span class="o">.</span><span class="n">pipeline</span><span class="p">(</span>
+            <span class="n">task</span><span class="o">=</span><span class="s2">"translation"</span><span class="p">,</span>
+            <span class="n">model</span><span class="o">=</span><span class="n">model_name</span><span class="p">,</span>
+            <span class="n">tokenizer</span><span class="o">=</span><span class="n">model_name</span><span class="p">,</span>
+            <span class="n">device</span><span class="o">=</span><span class="n">device</span><span class="p">,</span>
+            <span class="n">model_kwargs</span><span class="o">=</span><span class="n">model_kwargs</span><span class="p">,</span>
+            <span class="n">batch_size</span><span class="o">=</span><span class="n">batch_size</span><span class="p">,</span>
+        <span class="p">)</span>
+    <span class="k">except</span> <span class="ne">OSError</span> <span class="k">as</span> <span class="n">load_exception</span><span class="p">:</span>
+        <span class="k">if</span> <span class="p">(</span>
+            <span class="s2">"is not a valid model identifier listed on 'https://huggingface.co/models'"</span>
+            <span class="ow">in</span> <span class="nb">str</span><span class="p">(</span><span class="n">load_exception</span><span class="p">)</span>
+            <span class="ow">and</span> <span class="n">source_language</span>
+        <span class="p">):</span>
+            <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span>
+                <span class="sa">f</span><span class="s2">"The model '</span><span class="si">{</span><span class="n">model_name</span><span class="si">}</span><span class="s2">' is not a valid model identifier. "</span>
+                <span class="sa">f</span><span class="s2">"The parameters `source_language` and `target_language` are used to construct a Helsinki model for "</span>
+                <span class="sa">f</span><span class="s2">"text to text generation, but the model created from the given languages does not exist. "</span>
+                <span class="sa">f</span><span class="s2">"You may check language identifiers at "</span>
+                <span class="sa">f</span><span class="s2">"https://developers.google.com/admin-sdk/directory/v1/languages, and if the error was not fixed, one "</span>
+                <span class="sa">f</span><span class="s2">"or more language code might be with 3 letters and needs to be found online. "</span>
+                <span class="sa">f</span><span class="s2">"Remember, you can always choose a model directly from the Huggingface hub by using the `model_name` "</span>
+                <span class="sa">f</span><span class="s2">"parameter."</span>
+            <span class="p">)</span> <span class="kn">from</span> <span class="nn">load_exception</span>
+        <span class="k">raise</span> <span class="n">load_exception</span>
+
+    <span class="k">return</span> <span class="n">translation_pipeline</span><span class="p">,</span> <span class="n">model_name</span>
+
+
+<span class="k">def</span> <span class="nf">_translate</span><span class="p">(</span>
+    <span class="n">text_file</span><span class="p">:</span> <span class="n">pathlib</span><span class="o">.</span><span class="n">Path</span><span class="p">,</span>
+    <span class="n">translation_pipeline</span><span class="p">:</span> <span class="n">transformers</span><span class="o">.</span><span class="n">Pipeline</span><span class="p">,</span>
+    <span class="n">translation_kwargs</span><span class="p">:</span> <span class="nb">dict</span><span class="p">,</span>
+<span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">str</span><span class="p">:</span>
+    <span class="c1"># Read the text from file:</span>
+    <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">text_file</span><span class="p">,</span> <span class="s2">"r"</span><span class="p">)</span> <span class="k">as</span> <span class="n">fp</span><span class="p">:</span>
+        <span class="n">text</span> <span class="o">=</span> <span class="n">fp</span><span class="o">.</span><span class="n">read</span><span class="p">()</span>
+
+    <span class="c1"># Split to paragraphs and each paragraph to sentences:</span>
+    <span class="n">paragraphs</span> <span class="o">=</span> <span class="p">[</span><span class="n">paragraph</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"."</span><span class="p">)</span> <span class="k">for</span> <span class="n">paragraph</span> <span class="ow">in</span> <span class="n">text</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"</span><span class="se">\n</span><span class="s2">"</span><span class="p">)]</span>
+
+    <span class="c1"># Discover the newline indexes to restore the file to its structure post translation:</span>
+    <span class="n">newlines_indexes</span> <span class="o">=</span> <span class="p">[]</span>
+    <span class="k">for</span> <span class="n">paragraph</span> <span class="ow">in</span> <span class="n">paragraphs</span><span class="p">[:</span><span class="o">-</span><span class="mi">1</span><span class="p">]:</span>
+        <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">newlines_indexes</span><span class="p">)</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
+            <span class="n">newlines_indexes</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">paragraph</span><span class="p">)</span> <span class="o">-</span> <span class="mi">1</span><span class="p">)</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">newlines_indexes</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">newlines_indexes</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="nb">len</span><span class="p">(</span><span class="n">paragraph</span><span class="p">))</span>
+
+    <span class="c1"># Prepare the batches (each sentence from the paragraphs). Notice we add a dot not only to restore the sentence</span>
+    <span class="c1"># structure but to ignore empty strings as it will ruin the translation:</span>
+    <span class="n">sentences</span> <span class="o">=</span> <span class="p">[</span><span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">line</span><span class="si">}</span><span class="s2">."</span> <span class="k">for</span> <span class="n">paragraph</span> <span class="ow">in</span> <span class="n">paragraphs</span> <span class="k">for</span> <span class="n">line</span> <span class="ow">in</span> <span class="n">paragraph</span><span class="p">]</span>
+
+    <span class="c1"># Translate the sentences:</span>
+    <span class="n">translations</span> <span class="o">=</span> <span class="n">translation_pipeline</span><span class="p">(</span><span class="n">sentences</span><span class="p">,</span> <span class="o">**</span><span class="n">translation_kwargs</span><span class="p">)</span>
+
+    <span class="c1"># Restructure the full text from the sentences:</span>
+    <span class="n">translated_text</span> <span class="o">=</span> <span class="p">[]</span>
+    <span class="n">newline_index</span> <span class="o">=</span> <span class="n">newlines_indexes</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span> <span class="k">if</span> <span class="n">newlines_indexes</span> <span class="k">else</span> <span class="kc">None</span>
+    <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">translation</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">translations</span><span class="p">):</span>
+        <span class="c1"># Get the translation:</span>
+        <span class="n">text</span> <span class="o">=</span> <span class="n">translation</span><span class="p">[</span><span class="s2">"translation_text"</span><span class="p">]</span>
+        <span class="c1"># Validate if it was an empty sentence before:</span>
+        <span class="k">if</span> <span class="n">text</span> <span class="o">==</span> <span class="s2">"."</span><span class="p">:</span>
+            <span class="n">text</span> <span class="o">=</span> <span class="s2">""</span>
+        <span class="c1"># Check if needed to insert a newline:</span>
+        <span class="k">if</span> <span class="n">newline_index</span> <span class="ow">and</span> <span class="n">newline_index</span> <span class="o">==</span> <span class="n">i</span><span class="p">:</span>
+            <span class="n">text</span> <span class="o">+=</span> <span class="s2">"</span><span class="se">\n</span><span class="s2">"</span>
+            <span class="n">newline_index</span> <span class="o">=</span> <span class="n">newlines_indexes</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span> <span class="k">if</span> <span class="n">newlines_indexes</span> <span class="k">else</span> <span class="kc">None</span>
+        <span class="c1"># Collect it:</span>
+        <span class="n">translated_text</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">text</span><span class="p">)</span>
+    <span class="n">translated_text</span> <span class="o">=</span> <span class="s2">""</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">translated_text</span><span class="p">)</span>
+
+    <span class="k">return</span> <span class="n">translated_text</span>
+
+
+<span class="k">def</span> <span class="nf">_save_to_file</span><span class="p">(</span>
+    <span class="n">translation</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">file_name</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">output_directory</span><span class="p">:</span> <span class="n">pathlib</span><span class="o">.</span><span class="n">Path</span>
+<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">pathlib</span><span class="o">.</span><span class="n">Path</span><span class="p">:</span>
+    <span class="c1"># Prepare the file full path (checking for no duplications):</span>
+    <span class="n">translation_file</span> <span class="o">=</span> <span class="n">output_directory</span> <span class="o">/</span> <span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">file_name</span><span class="si">}</span><span class="s2">.txt"</span>
+    <span class="n">i</span> <span class="o">=</span> <span class="mi">1</span>
+    <span class="k">while</span> <span class="n">translation_file</span><span class="o">.</span><span class="n">exists</span><span class="p">():</span>
+        <span class="n">i</span> <span class="o">+=</span> <span class="mi">1</span>
+        <span class="n">translation_file</span> <span class="o">=</span> <span class="n">output_directory</span> <span class="o">/</span> <span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">file_name</span><span class="si">}</span><span class="s2">_</span><span class="si">{</span><span class="n">i</span><span class="si">}</span><span class="s2">.txt"</span>
+
+    <span class="c1"># Make sure all directories are created:</span>
+    <span class="n">translation_file</span><span class="o">.</span><span class="n">parent</span><span class="o">.</span><span class="n">mkdir</span><span class="p">(</span><span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">parents</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+    <span class="c1"># Write to file:</span>
+    <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">translation_file</span><span class="p">,</span> <span class="s2">"w"</span><span class="p">)</span> <span class="k">as</span> <span class="n">fp</span><span class="p">:</span>
+        <span class="n">fp</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="n">translation</span><span class="p">)</span>
+
+    <span class="k">return</span> <span class="n">translation_file</span>
+</pre></div>
+</div>
+</main>
+<footer class="footer-article noprint">
+<!-- Previous / next buttons -->
+<div class="prev-next-area">
+</div>
+</footer>
+</div>
+</div>
+<div class="footer-content row">
+<footer class="col footer"><p>
+  
+      © Copyright .<br/>
+</p>
+</footer>
+</div>
+</div>
+</div>
+</div>
+<!-- Scripts loaded after <body> so the DOM is not blocked -->
+<script src="../../../_static/scripts/pydata-sphinx-theme.js?digest=1999514e3f237ded88cf"></script>
+</body>
+</html>
\ No newline at end of file
diff --git a/functions/master/translate/latest/src/function.yaml b/functions/master/translate/latest/src/function.yaml
index 1a3fd7a8..bb165610 100644
--- a/functions/master/translate/latest/src/function.yaml
+++ b/functions/master/translate/latest/src/function.yaml
@@ -2,13 +2,16 @@ kind: job
 metadata:
   name: translate
   tag: ''
-  hash: bc26313449cd13554a18106ed9893535fb79dd6e
+  hash: 7eedf684bcebfbfd964e5503afbb56335c8f4097
   project: ''
   labels:
     author: guyl
   categories:
   - data-preparation
+  - huggingface
   - machine-learning
+  - deep-learning
+  - NLP
 spec:
   command: ''
   args: []
@@ -34,24 +37,27 @@ spec:
       - name: root_worker_inputs
         type: Dict[str, Any]
         default: null
-      outputs:
-      - default: ''
+      outputs: []
       lineno: 56
+      has_varargs: false
+      has_kwargs: false
     decorator:
       name: decorator
       doc: ''
       parameters:
       - name: handler
-      outputs:
-      - default: ''
+      outputs: []
       lineno: 68
+      has_varargs: false
+      has_kwargs: false
     wrapper:
       name: wrapper
       doc: ''
       parameters: []
-      outputs:
-      - default: ''
+      outputs: []
       lineno: 73
+      has_varargs: false
+      has_kwargs: true
     translate:
       name: translate
       doc: 'Translate text files using a transformer model from Huggingface''s hub
@@ -112,8 +118,10 @@ spec:
         default: false
       outputs:
       - doc: 'A tuple of:'
-        default: ''
+        type: Tuple[str, pd.DataFrame, dict]
       lineno: 135
+      has_varargs: false
+      has_kwargs: false
   description: Translate text files from one language to another
   default_handler: translate
   disable_auto_mount: false
diff --git a/functions/master/translate/latest/src/item.yaml b/functions/master/translate/latest/src/item.yaml
index f85a5599..e6394734 100644
--- a/functions/master/translate/latest/src/item.yaml
+++ b/functions/master/translate/latest/src/item.yaml
@@ -1,6 +1,7 @@
 apiVersion: v1
 categories:
 - data-preparation
+- huggingface
 - machine-learning
 - deep-learning
 - NLP
@@ -28,5 +29,5 @@ spec:
     - torch
     - tqdm
 url: ''
-version: 0.0.2
+version: 0.1.0
 test_valid: True
diff --git a/functions/master/translate/latest/static/function.html b/functions/master/translate/latest/static/function.html
index a75a6baf..9103bffc 100644
--- a/functions/master/translate/latest/static/function.html
+++ b/functions/master/translate/latest/static/function.html
@@ -19,13 +19,16 @@
 metadata:
   name: translate
   tag: ''
-  hash: bc26313449cd13554a18106ed9893535fb79dd6e
+  hash: 7eedf684bcebfbfd964e5503afbb56335c8f4097
   project: ''
   labels:
     author: guyl
   categories:
   - data-preparation
+  - huggingface
   - machine-learning
+  - deep-learning
+  - NLP
 spec:
   command: ''
   args: []
@@ -51,24 +54,27 @@
       - name: root_worker_inputs
         type: Dict[str, Any]
         default: null
-      outputs:
-      - default: ''
+      outputs: []
       lineno: 56
+      has_varargs: false
+      has_kwargs: false
     decorator:
       name: decorator
       doc: ''
       parameters:
       - name: handler
-      outputs:
-      - default: ''
+      outputs: []
       lineno: 68
+      has_varargs: false
+      has_kwargs: false
     wrapper:
       name: wrapper
       doc: ''
       parameters: []
-      outputs:
-      - default: ''
+      outputs: []
       lineno: 73
+      has_varargs: false
+      has_kwargs: true
     translate:
       name: translate
       doc: 'Translate text files using a transformer model from Huggingface''s hub
@@ -129,8 +135,10 @@
         default: false
       outputs:
       - doc: 'A tuple of:'
-        default: ''
+        type: Tuple[str, pd.DataFrame, dict]
       lineno: 135
+      has_varargs: false
+      has_kwargs: false
   description: Translate text files from one language to another
   default_handler: translate
   disable_auto_mount: false
diff --git a/functions/master/translate/latest/static/item.html b/functions/master/translate/latest/static/item.html
index eff27700..2f9e9d57 100644
--- a/functions/master/translate/latest/static/item.html
+++ b/functions/master/translate/latest/static/item.html
@@ -18,6 +18,7 @@
 apiVersion: v1
 categories:
 - data-preparation
+- huggingface
 - machine-learning
 - deep-learning
 - NLP
@@ -45,7 +46,7 @@
     - torch
     - tqdm
 url: ''
-version: 0.0.2
+version: 0.1.0
 test_valid: True
 
         </code>